JP5771473B2 - Temporal change prediction system, temporal change prediction method, and program - Google Patents

Description

  The present invention relates to a temporal change prediction system, a temporal change prediction method, and a program for predicting the degree of deterioration of a building or the like for each member.

As a system for obtaining information related to preventive maintenance of buildings, there is a temporal change prediction system. The temporal change prediction system stores design information such as information on building members as building components and information on materials (properties) of building members in a database, and based on the information stored in the database. Obtain information to predict the deterioration of buildings. In such a building temporal change prediction system, as a method for indicating the degree of deterioration of a building member, there is a method in which building facilities, a housing, a finished state, and the like are roughly summarized and displayed in different colors. For example, as a method of indicating the degree of deterioration of a building member or the like, it is displayed by a table showing a numerical prediction result, a graph, a drawing such as a two-dimensional elevation or plan (for example, a patent) Reference 1 to 3).
According to the technique described in Patent Document 1, the “building asset diagnosis system” predicts the deterioration of a building from a design information such as information on the material (property) of a building member stored in a database in advance. As shown.
Further, according to the technique described in Patent Document 2, the “house diagnosis system” indicates that deterioration diagnosis is performed based on information indicating a predetermined standard deterioration state and actual diagnosis information.
Further, according to the technology described in Patent Document 3, in the “facility design / maintenance support system”, the deterioration diagnosis is performed based on the service life corresponding to the member deterioration predicted according to a predetermined trend of aging. Shown to do.

JP 2003-281248 A JP 2001-306669 A JP 2002-117087 A

By the way, the aging of the individual members constituting the building may change due to changes in ambient conditions.
However, in any of the techniques described in Patent Documents 1 to 3, as described above, the deterioration of the building is predicted based on design information such as information on the material (property) of the building member stored in advance in the database. It is only shown that they are getting information. Therefore, even if these techniques are used, there is a problem that deterioration due to changes in ambient conditions cannot be predicted. In short, in any of the techniques described in Patent Documents 1 to 3, it is merely shown that the deterioration state according to the passage of time is calculated based on predetermined information, and according to the elapsed time. There is a problem that deterioration cannot be predicted when the ambient conditions change.

  The present invention has been made in view of such circumstances, and an object of the present invention is to calculate the degree of deterioration of individual members constituting a structure over time when ambient conditions change according to elapsed time. The present invention provides a temporal change prediction system, a temporal change prediction method, and a program.

  The present invention has been made to solve the above-described problems, and the temporal change prediction system of the present invention includes a plurality of the structures in units defined by regions defined corresponding to members constituting the structure. Modeled as a combination of the regions, the plurality of regions include a first region corresponding to a first member and a second region corresponding to a second member, the first region In the region, a first representative point is provided on the surface of the first region facing the second region, and the second region facing the first region is provided in the second region. A second representative point is provided on the surface of the first member and the second member over time according to a condition acting between the first member and the second member. In estimating each change, the degree of influence acting between the first member and the second member is By defining the variable indicating the degree of influence, the state change of the member is calculated for each representative point based on the variables respectively set for the first representative point and the second representative point. A state change calculation unit is provided.

  In the temporal change prediction system of the present invention, in the state change calculation unit, the combination of the first representative point and the second representative point at which the influence acts is a distance between two representative points. It is determined according to

  In addition, the temporal change prediction system of the present invention is a representative that selects the first representative point and the second representative point from a plurality of the representative points arranged according to a grid determined according to the shape of the region. A point selection unit is provided.

  In addition, the temporal change prediction system of the present invention includes a first representative point arrangement unit that arranges the representative point at a position corresponding to the shape of the modeled region.

  In the temporal change prediction system of the present invention, the first representative point arrangement unit arranges the plurality of representative points in a grid according to a grid determined according to the shape of the region.

  In addition, the temporal change prediction system of the present invention includes a temporal change prediction unit that predicts a temporal change of the member based on the state of the member calculated by the state change calculation unit.

  The temporal change prediction system of the present invention is a display in which the plurality of regions and the plurality of representative points are displayed in a superimposed manner on a model modeled as a combination of the plurality of regions placed in a three-dimensional coordinate space. A control unit is provided.

  In the temporal change prediction system of the present invention, a third representative point is provided on the surface of the third region facing the second region in the third region facing the second region, In the second region, a fourth representative point is provided on the surface of the second region facing the third region, and the state change calculation unit is configured to perform the state change calculation from the third region to the second region. In estimating the time-dependent changes of the first member and the second member that change in accordance with the conditions acting on the second region, the conditions acting on the second member from the third region are: The first representative point and the second representative point are respectively set by defining the variable indicating the degree of influence acting between the third representative point and the fourth representative point. The state change of the member is calculated based on the variable.

  In the temporal change prediction system of the present invention, the third representative point on the surface of the third region facing the second region is provided in the third region facing the second region. The second region is provided with a second representative point arrangement portion for providing the fourth representative point on the surface of the second region facing the third region.

  In the temporal change prediction system of the present invention, in the second region, a transmission coefficient for transmitting the action received from the fourth representative point to the second representative point corresponding to the fourth representative point is By defining the transfer coefficient that transmits the degree of influence acting on the first region from the third region, the action that the fourth representative point receives from the third representative point is The second representative point corresponding to the fourth representative point is transmitted after being attenuated according to the value of the transmission coefficient, and from the second representative point to the second representative point based on the transmitted degree of influence. An intra-region transmission amount calculation unit that acts on one representative point is provided.

In the temporal change prediction system of the present invention, in the first region, a fifth representative point corresponding to the second representative point facing one surface of the first region is the first representative point. is provided on one side of the region, the state change calculating unit, the second representative point, on the basis of the representative point of the fifth, calculating the change of state of said first member It is characterized by.

  The temporal change prediction system of the present invention is characterized in that the fifth representative point is arranged so that the distance from the second representative point is within a predetermined range.

  The temporal change prediction system of the present invention is characterized in that the fifth representative point is arranged so as to be positioned with respect to the second representative point with respect to one surface of the first region. To do.

  In the temporal change prediction system of the present invention, in the first region, the fifth representative point corresponding to the second representative point facing one surface of the first region is the first representative point. A third representative point arrangement portion provided on one surface of one region is provided.

In the temporal change prediction system of the present invention, the second region and the fourth region face one surface of the first region, and the first region includes the first region. A sixth representative point is provided on the region side, and a seventh representative point is provided on the surface of the first region facing the fourth region in the first region, It said state change calculating unit, and the representative point of the seventh, on the basis of the representative point of the sixth, and calculates the state change of the first member.

  In the temporal change prediction system of the present invention, the second region and the fourth region face one surface of the first region, and the first region includes the first region. A fourth representative point placement section in which a sixth representative point is provided on the region side, and a seventh representative point is provided on the surface of the first region facing the fourth region in the first region. It is characterized by providing.

  The temporal change prediction system of the present invention models, as a unit, an area defined corresponding to an object that occupies space, the object as a combination of the plurality of areas, A first region corresponding to the second object and a second region corresponding to the second object, and the first region facing the second region is included in the first region A first representative point is provided on the surface of the second region, and a second representative point is provided on the surface of the second region facing the first region in the second region. In estimating each time-dependent change of the first object and the second object according to a condition acting between the object and the second object, the first object and the second object By defining the degree of influence acting between the object and the variable indicating the degree of influence, the first Based representative point of the second of said variable set respectively to the representative point, characterized in that it comprises a status change calculation unit configured to calculate a change in the state of the object for each of the representative points.

Further, the temporal change prediction method of the present invention models the structure as a combination of a plurality of the regions, with the region defined corresponding to the member constituting the structure as a unit, A first region corresponding to the first member and a second region corresponding to the second member are included, and the first region faces the second region. A first representative point is provided on the surface of the region, and a second representative point is provided on the surface of the second region facing the first region in the second region, In estimating each time-dependent change of the first member and the second member according to a condition acting between the first member and the second member, the first member and the second member are estimated. By defining the degree of influence acting between the two members by a variable indicating the degree of influence, Based representative point of the second of said variable set respectively to the representative point, characterized in that computer a process of calculating respectively the state change of the member for each of the representative points is performed.

  Further, the computer program of the present invention models the structure as a combination of a plurality of the regions, with the region defined corresponding to the members constituting the structure as a unit in the computer included in the temporal change prediction system, The plurality of regions include a first region corresponding to the first member and a second region corresponding to the second member, and the first region includes the second region. A first representative point is provided on the surface of the first region facing the region, and a second representative point is provided on the surface of the second region facing the first region in the second region. In estimating each time-dependent change of the first member and the second member according to the condition acting between the first member and the second member, The degree of influence acting between the first member and the second member is A state in which the state change of the member is calculated for each representative point based on the variables set for the first representative point and the second representative point, respectively, by defining with a variable indicating the reverberation It is a program for functioning as a change calculation part.

  In the temporal change prediction system of the present invention, the system is modeled as a combination of a plurality of regions defined corresponding to members constituting the structure. The plurality of regions include a first region corresponding to the first object and a second region corresponding to the second object. The first region faces the second region. The first representative point is provided on the surface, and the second representative point is provided on the surface facing the first region in the second region. Then, the degree of influence acting between the first representative point and the second representative point is defined by a variable, and the state change of the object is calculated for each representative point based on this variable.

  Thereby, in the temporal change prediction system of the present invention, when the ambient conditions change according to the elapsed time, it is possible to calculate the degree of deterioration with time of individual members constituting the structure.

It is a figure which shows the outline | summary of the time-change prediction system by embodiment of this invention. It is a figure which shows the structural example by which coating was given to sealing. It is a figure which shows the example of arrangement | positioning of the representative point in a cone. It is a figure which shows the example of a setting of the rectangular parallelepiped which includes each vertex of a cone, and a grid (grid). It is a figure which shows the example which arrange | positions a representative point inside a cone. It is a figure which shows the arrangement | positioning rule of a representative point. It is a figure which shows the positional relationship of the representative point shown in FIG. It is a figure which shows the example in which two members are located in one surface of a structural material. It is a figure which shows the example of dot arrangement | positioning in case two members are located in one surface of a structural material. It is a figure which shows the example of modeling in case two members are located in one surface of a structural material. It is a figure which shows the example of a display of the deterioration information of the building member in a building. It is a figure which shows the structure of the time-varying prediction system by embodiment of this invention. It is a flowchart which shows the flow of a process in a time-dependent change prediction system.

  Hereinafter, embodiments of the present invention will be described with reference to the accompanying drawings.

(Explanation of the overview of the temporal change prediction system)
First, an overview of the temporal change prediction system will be described. The temporal change prediction system has the following characteristics.
First, the temporal change prediction system uses the deterioration information for each deterioration type for each building member (also simply referred to as “member”) that is a component of an object (a structure such as a building). Visually clear and easy to understand. That is, in the temporal change prediction system, a model based on an actual structure (such as a building) is configured on a three-dimensional virtual space. For example, the degree of deterioration is calculated for each deterioration type for each building member according to the number of days elapsed from the construction date. In addition, for example, in the building in the virtual space, deterioration factors such as deterioration of the finished finish, deterioration due to the generation of rust, generation of condensation and mold are defined for each building member. From the defined deterioration elements, the deterioration due to each deterioration element and the deterioration caused by combining a plurality of deterioration elements are calculated, and the calculated deterioration state is visually displayed. In addition, when displaying the state of deterioration due to individual deterioration elements for each deterioration element, it can be switched according to the type of deterioration element, and deterioration caused by combining multiple deterioration elements is also displayed. It can be so.

  Secondly, in the temporal change prediction system, a relational expression (logic) for calculating the degree of progress of deterioration for each building member is defined. For example, the temporal change prediction system performs calculation for shortening or extending the useful life of each building member in accordance with the passage of time in the calculation of the degree of progress of deterioration. When defining a relational expression (logic) that calculates the degree of progress of deterioration, the time-varying prediction system determines the stress due to chemical change or load as an external force surrounding each building member. It is obtained as a coefficient that shortens the useful life of the building and calculates the useful life of the combined building component. In addition, when renovation is performed at an appropriate time, the secular change prediction system performs a calculation for extending the useful life of the renovated building member, and extends the life of the combined building member.

  Thirdly, the temporal change prediction system detects, for each dot, an external force that causes deterioration of the building member, based on the representative points (dots) arranged on the building member. In the building member, dots (representative points) are arranged as sensors that sense parameters (specific parameters that can affect the building member) of objects surrounding the building member. Position information based on three-dimensional (X, Y, Z) coordinates is given to the dots, and the location of the dot is specified by the given position information. Moreover, in a temporal change prediction system, the shape of the whole building member is recognized based on the mutual relationship defined between the dots in the same building member. The temporal change prediction system recognizes the degree of influence received from environmental elements by recognizing the shape of a building member. In addition, the dot defines the performance property information of the material as a building member as a variable that changes according to the parameter information. The value of the performance property information of the defined material changes as the parameter information changes and changes over time. In addition, the temporal change prediction system calculates the stress due to structural external force by comparing with the proof strength between dots, and calculates the influence of deterioration of building members.

  Fourth, the temporal change prediction system also affects the building material by treating the surrounding environment as an external force, and calculates information on the performance properties of the defined material. For example, for air (outside air) around a building member, a region is defined for each space having different temperatures, humidity, and components. The temporal change prediction system also arranges dots in each defined area, and calculates the effect on the building member for each space with different temperatures, humidity, and components. In addition, the influence of activities such as human walking and contact is also defined for each dot as parameter information that affects the deterioration of building members. Further, the influence of the climate such as rain and the gas such as sunlight and NOx (nitrogen oxide) on the building member is also defined for each dot as parameter information. In the dot of the building member constituting the building, the numerical value of the performance property is changed under the influence of the “dot in the space defined as the area” adjacent to the dot of the building member.

An embodiment of the temporal change prediction system will be described with reference to FIG.
FIG. 1 is a diagram for explaining an outline of a temporal change prediction system. FIG. 1 shows an arrangement example of dots (representative points) on a building member and an arrangement example of dots (representative points) on an object (outside air) around the building member. This dot (representative point) is selected as a target point when predicting changes over time, and in the deterioration calculation logic of building materials, the numerical value of the dot itself and the change in the numerical value due to the influence between the dots are deteriorated. It is based on grasping as.

  In the example shown in FIG. 1, an example is shown in which a part of a sealing (outer wall material) 10 that is a building member constituting a building is in contact with surrounding outside air 20. In this figure, a dot A indicated by a circle (white circle) is a representative point arranged in the ceiling 10, and in this ceiling 10, the dot A indicated by a circle (black circle) is in direct contact with the outside air 20. The dots located on the surface are shown. Further, a Δ dot B indicated by a Δ (triangle) mark is a representative point arranged in the outside air 20. A method for arranging dots (representative points) will be described later.

  Each dot A (and dot A) in the ceiling 10 is defined by the following parameter information.

  “(○ dots (coordinates X, Y, Z), material ○ name (sealing), properties a, b,...)”

  In this parameter information, “(coordinate X, Y, Z)” indicates the position of the dot A in the three-dimensional space, and “material ○ name (sealing)” indicates the type (or material) information of the building member. Show. “Properties a, b,...” Indicate information on properties that are influenced by surrounding environmental elements.

  Each Δ dot B in the outside air 20 is defined by the following parameter information.

  “(Δ dot (coordinates X, Y, Z), external force (external air), properties α, β,...)”

  In this parameter information, “(coordinates X, Y, Z)” indicates positional information of the Δ dot B in the three-dimensional space, and “external force (outside air)” is information on the type of degradation element that affects the building member. Indicates. Further, “property α, β,...” Indicates information on the property (or the degree of deterioration) that causes deterioration of the building member.

Then, the dot A of the ceiling 10 and the dot B of the outside air 20 are close to the dot A of the ceiling 10 (the dot A on the affected side) from the three-dimensional position information (X, Y, Z) of each dot. A dot B to be determined is determined, and this dot B is a target of deterioration prediction calculation for the dot A.
For example, as shown in FIG. 1, with reference to a dot A1 having specific parameter information that can be influenced by the outside air 20, the outside air 20 is within a predetermined distance LA-B that can affect the dot A1. If there is a dot B1, the change in the material properties of the dot A1 is calculated according to the influence time. For example, the sealing 10 of the outer wall material is affected by ultraviolet rays, NOx (nitrogen oxide), daily and yearly differences from the external space (outside air 20), and in addition to expansion and contraction due to internal stress and temperature change of the material, the material itself Calculates the process of causing chemical changes and decreasing strength and elasticity. This calculation is performed by multiplying a coefficient so as to be subtracted from the reference useful life in accordance with the elapsed time.

  For example, when the parameter information of the dot B1 of the outside air 20 affects the performance of the dot A1 of the ceiling 10, the following calculation formula is obtained. Here, it is assumed that the silicon service life for forming the sealing 10 is 120 months (10-year standard).

  (Useful life of ceiling 10) = 120- (months elapsed) ÷ 0.95 (daily difference) ÷ 0.95 (ultraviolet ray amount) ÷ 0.95 (NOx amount) ÷ 0.98 (influence of rain due to drought) Yes)

  Then, when it is determined that the calculated value is equal to or less than a predetermined value, the temporal change prediction system determines the dot of the member (sealing 10) on the display screen (or the region of the dot and the member including the dot). Change the color to display the alarm. For example, if the service life of a predetermined period or longer is secured, the color is green, and if the service life of a predetermined period or longer is not secured, the dot is red. By changing the color from green to red, an alarm can be displayed at the dot position. In the case exemplified above, the result becomes zero at 95 months (7.9 years), indicating that the service life shortened from the standard service life (120 months) is reached earlier. In addition, the parameters that affect it should be set in consideration of chemical changes due to salt damage such as sea breeze, adhesion due to condensation caused by the relationship between temperature difference and humidity, oxidization of metals and the occurrence of rust from humidity. Can do.

  As described above, in the temporal change prediction system, the actual service life is predicted and calculated based on the difference from the standard service life of the change in the property of the building member. Then, by changing the color for each dot A according to the predicted calculation result, the change in the degree of deterioration in the dot A can be displayed. For example, as the period until the shortened service life decreases, the color of the dots can be changed in stages, such as “green → yellow → orange → red”.

(Explanation of more specific calculation example for sealing deterioration)
Next, the example shown in FIG. 1 will be described supplementarily with a more specific calculation example. In the following calculation example, a calculation example in which the ceiling 10 which is a building component (building member) and the outside air 20 (sunlight ultraviolet rays) influence each other will be described.
As described above, the dot A, which is a representative point of the ceiling 10 shown in FIG. 1, includes “position information (Xa, Ya, Za)”, “material name (sealing)”, and “property information a” as parameter information. , B,... Further, the dot B of the outside air 20 has information on “position (Xb, Yb, Zb)”, “external force (outside air)”, and “nature α, β,...” As parameter information.

  For dot A (ceiling), a condition is determined as to whether or not the dot A can be affected by the dot B (outside air). In the determination, when the distance LA-B with the dot B having the property of outside air is equal to or less than a predetermined distance and there is no other dot within the range equal to or less than the predetermined distance, the dot A and the dot B are It is determined that the distance is in contact, and it is determined that dot A is affected by dot B. For example, in FIG. 1, the dot A1 and the Δ dot B1 have a distance LA-B within a predetermined distance and there are no other dots within the distance, so the dot A1 is in contact with the Δ dot B1. It is determined that it is in the distance (affected). On the other hand, the distance between the dot A2 of the ceiling 10 (left side in the figure) and the Δ dot B2 of the outside air 20 closest to the dot A2 is determined to be a distance that does not affect each other.

  If it is determined that the distance between the dot A1 and the Δ dot B1 is in contact, it is determined whether the dot A1 and the Δ dot B1 include parameters that are influenced by each other. In order to determine whether or not the parameters that are affected by each other are included, the parameter information of the dot A1 includes information such as an incompatible substance (for example, ultraviolet rays) and a substance that is subject to deterioration (for example, polymer rubber). Is registered in advance in the database. This parameter information is input to the database as the property of the building member as the value at the design stage of the building. Further, at the design stage of the building, it is possible to determine whether or not the combination is suitable at the design time by inputting the property of the material as parameter information. For example, when aluminum and iron come into contact with each other, electric corrosion occurs, so information on a substance that deteriorates when it is combined is registered. Thereby, when the information arrange | positioned so that aluminum and iron contact | connect as a building member is registered, an alarm can be generated by determination at the time of design.

In addition, as the parameter information α of the Δ dot B1 of the outside air 20, it is assumed that the annual total amount and the total amount per day (for example, the total amount of substances (for example, ultraviolet rays) incompatible with the dot A1) are input. . Here, for example, it is determined that the property information a of the ceiling 10 is affected by deterioration determined by a fixed value (deterioration coefficient α1) indicating the total amount per day.
Such a degradation coefficient α1 can also be acquired and set from databases of various building material management companies and research institutions. Further, the magnitude of the influence can be changed according to the direction of the surface of the ceiling 10 facing the dot A1. For example, the amount of ultraviolet rays varies depending on the amount of solar radiation that the surface receives according to the direction. The magnitude of the influence can be changed depending on whether the surface is the south side or the north side.

An example of calculation under the above conditions is shown below.
For example, the temporal change prediction system 101 (FIG. 12) performs processing according to the following procedure.
(Procedure 1) Regarding the degradation coefficient α1, α1 (+) indicates that the degradation coefficient is deteriorated due to the influence, and α1 (−) indicates that the deterioration coefficient α1 is not affected and does not deteriorate. The service life of the dot A1 is 43800 days (= 120 months = 10 years), and the number of elapsed days after 5 years is 21900 days.
(Procedure 2) Considering that the invasion of deterioration is proportional to the number of days according to the deterioration coefficient α1, the deterioration coefficient α1 per unit time is set as follows.
・ Α1 (-): 1.00 (when not deteriorated)
・ Α1 (+): 0.95 (when deterioration progresses in proportion to the number of days per unit time)
Note that α1 (+) may be determined based on a calculation formula using time as a variable when the progress of deterioration is not proportional to the number of days.

(Procedure 3) Then, for example, the same day after the lapse of 5 years is determined, and the influence of the Δ dot B1 of the outside air 20 on the dot A1 is calculated.
・ Α1 (−):
43800-21900 / α (−) = 43800-21900 / 1.00 = 21900
・ Α1 (+):
43800-21900 / α (+) = 43800-21900 / 0.95 = 20747

(Procedure 4) From the above procedure, the service life of α1 (+) will be shorter than that of α1 (−), and the service life will be reached at some point when the service life of 10 years has not passed in the standard state. To be calculated.
(Procedure 5) For dots that have reached the end of their service life, the display color of the symbol displayed as dot A1 is changed to display the risk level.

  According to the procedure described above, when the sealing (steel) 10 deteriorates due to the influence of the outside air 20, this deterioration can be predicted, and the dot (or the area of the dot and the member including the dot) that has reached the end of its service life. Can be displayed visually by changing the color of the dots.

(Explanation of the case where rust occurs when the seal is painted)
Next, an example in which rust occurs when the sealing is made of steel (iron member) and the steel is coated will be described. Here, a calculation example is shown in the case where there is a coating between a ceiling (steel: iron member) that is a building member and the outside air.

  FIG. 2 is a diagram showing a configuration example in which the sealing is painted. As shown in FIG. 2, the dot 11 (including the dot A <b> 1) is arranged as a representative point on the steel 11. Further, in the outside air 20, Δ dots B (including the dots B 1) are arranged as representative points. In addition, the dot 30 (including the dot C1) is arranged as a representative point on the coating 30.

Then, the dot A of the sealing (steel) 11 and the Δ dot B of the outside air 20 are within a predetermined distance, and within a predetermined distance from the Δ dot B of the outside air 20. Dot C exists.
For example, the dot A1 of the ceiling 11 and the Δ dot B1 of the outside air 20 are within a certain distance, and the square dot C1 exists at a distance less than the distance from the Δ dot B1 of the outside air 20.

  In this case, in the property information a of the dot A, the distance LA-B from the Δ dot B1 having the property of the outside air is a certain distance as a condition determination calculation as to whether the dot A1 is affected by the outside air 20 or not. If there is no other dot within the distance LA-B from the Δ dot B 1 of the outside air 20, the dot A 1 of the ceiling (steel) 11 is at a distance in contact with the Δ dot B 1 representing the outside air 20. judge. In this example, since the □ dot C1 of the paint 30 exists, it is determined that the ◯ dot A1 is not in direct contact with the Δ dot B1 representing the outside air 20. The dot A1 and the Δ dot B1 have parameters such as a substance that causes deterioration and a substance that undergoes deterioration. However, since the dot C1 exists, it is determined that there is no direct influence on each other.

  Here, an interaction similar to that between the dot A1 and the dot B1 is also calculated between the dot C1 (paint 30) and the triangle dot B1 (outside air 20). □ When the useful life of dot C1 is shorter than that of ○ dot A1, after the service life of □ dot C1 is reached, it is determined that □ dot C1 does not exist, and ○ dot A1 begins to be affected by △ dot B1 Become. Thereafter, the service life of the dot A1 arrives earlier than usual as in the above-described example.

  As explained above, even when the coating 30 is applied to the sealing (steel) 11, the temporal change prediction system can predict the deterioration of the sealing 11 in consideration of the rust prevention effect by the coating 30. .

(Explanation of dot placement rules)
Next, a method for arranging dots (representative points) will be described. The temporal change prediction system reliably and automatically arranges dots (representative points) for modeling building members of various shapes and sizes. In addition, the temporal change prediction system automatically determines, for each dot arranged on the building member, what does not directly contact a surrounding object (for example, outside air). For this reason, in the temporal change prediction system, dots are arranged on the building member and surrounding objects according to the following dot arrangement rule.

  First, as the dot arrangement rule (1), the shortest side among the sides included in a solid (for example, a solid shape formed by a building member) is selected, and the interval based on the length of the selected side is selected. Place dots on the sides of the solid. Also, as the dot placement rule (2), a rectangular parallelepiped that includes all the vertices of the solid is set, a grid of the length selected by the dot placement rule 1 is provided, and dots are placed at the intersections that the solid contains. To do.

  For example, in the case of the cone 41 shown in FIG. 3, the setting of the vertex of the three-dimensional surface is the points of “the center of the circle”, “the point of contact with the circumscribed square of the circle”, and “the apex of the cone”. Place a dot. In the example shown in this figure, Δ dot d1 is arranged at the center of the circle, four Δ dots d2 are arranged at the outer contact point of the circle, and Δ dot d3 at the apex of the cone is arranged. Further, the length a between the shortest vertices (the distance a between the dots d1 and d2 in this example) is also formed on the side connecting the circumference (dot d2) to the vertex (dot d3) of the cone. [Delta] dot (dot indicated by symbol d4) is arranged.

Further, as shown in FIG. 4, a rectangular parallelepiped 42 that includes all the vertices of the cone 41 is set. In this rectangular parallelepiped 42, grids 43 are set at intervals of a length a. In this case, the dimension of the rectangular parallelepiped 42 may be different from a multiple of the grid dimension (length a), but this is allowed.
The grid dimensions may be 1 / N of the length a (N is a natural number of 2 or more).
Then, as shown in FIG. 5, it is calculated whether each intersection of the grid 43 is inside or outside the cone 41, and dots (dots indicated by □) are arranged at the intersections inside the cone 41. . Finally, data (parameter information) is given by using Δ dots and □ dots as components (representative points) having the same properties.

FIG. 6 shows an example in which the building members shown in FIG. 2 are arranged according to the dot arrangement rule. The example shown in FIG. 6 differs from the sealing (steel) 11 shown in FIG. 2 in that a corner 11A is added to the steel 11 shown in FIG. By providing this entering corner 11A, the length of the shortest side of the steel 11 becomes the distance a between the dots A1 and A2 shown on the left side of the drawing, and the distance based on this distance a gives the steel 11 a circle. Dot A (representative point) is arranged.
The coating 30 has a coating thickness of a distance (coating thickness) c between □ dot C1 and □ dot C2 shown in the lower left of the drawing. With this thickness c, □ dot C (outside air) (Including a dot C ′ in contact with 20). Since the distance c is shorter than the length of the other side, the number of dots is arranged in the nectar in the coating 30. Note that the dot C ′ is a dot disposed at a portion where the coating 30 is in contact with the outside air 20.
Further, in the outside air 20, the Δ dot B is arranged based on a predetermined distance (for example, the distance b between the Δ dot B 1 and the Δ dot B 2 shown in the upper right of the drawing).

6 is characterized in that a coating 30 is provided between the sealing (steel) 11 and the outside air 20 in the same manner as in FIG. 2, and a dot A in the sealing (steel) 11 is a triangle of the outside air 20. The dot B is not directly affected. This feature will be described with reference to FIG.
FIG. 7 is a diagram showing the positional relationship between the representative points (dots) shown in FIG. With reference to FIG. 7, the correspondence relationship between the dot of steel 11 and the dot of paint 30 that is a foreign material will be described. In the dot positional relationship shown in this figure, there is always a square dot 2 of the coating 30 within a distance L1-3 from the circle 1 of the steel 11 to the triangle 3 of the outside air 20. The same arrangement relationship is obtained in the three-dimensional direction. This relationship is maintained because, in a solid formed with one component (building material), dots are arranged at regular intervals with the shortest (thin) portion as the reference among the dimensions of the solid. It depends. Thereby, the principle that the dots (representative points) arranged on the building member are present in the foreign material and is influenced by the dots arranged closest to the reference dot is observed.

  In addition, for dots of the same material, a three-dimensional shape such as horizontal, vertical, outgoing corner, and incoming corner is determined based on arrangement information indicating the positions of dots arranged on the same material (same member). For example, it can be seen from the circles 4, 5, 6 of the steel 11 that the dot 5 is a corner. In addition, it can be understood from the fact that there are dots of the same quality in a total of 26 directions, up and down, front and rear, right and left, and diagonal, as in the case of the dot 7.

(Supplementary explanation when the components are in a special arrangement relationship)
There are cases where the dot selection method based on the above-described dot arrangement rule cannot be applied as it is, and this will be supplementarily described. For example, there is an event that the method of measuring the distance between dots of different members cannot be applied as it is regarding whether the building members are “contacting or separated” in a three-dimensional space. For example, when members B and C are arranged in a ring shape or a stripe shape on one surface of a base component (member A) called A, members B and C are measured only by the distance between dots. It will be recognized as if they overlap. That is, it is determined that the member C does not affect the member A. In order to solve this problem, it is necessary to determine whether there is another member C other than the member B on the surface of the member A.

  For example, FIG. 8 is a diagram illustrating an example in which two members B and C are positioned in a ring shape or a stripe shape on one surface of a base component (member A). In the example shown in this figure, a member B indicated by reference numeral 51 and a member indicated by reference numeral 52 are formed on the surface surrounded by the dots a2, a3, a5, and a6 of the base component (member A) indicated by reference numeral 50. C is arranged. In this case, each dot a2, a3, a5, a6 is determined to be at a distance in contact with the member B only by the concept of the distance between the dots (rule for selecting the nearest dot within a predetermined distance). It is determined that C is not in contact with the surface of the member A.

  Therefore, in such a case, it is necessary to recognize that the dots a2, a3, a5, and a6 included in the surface facing the members B and C are affected by both the members B and C. For this reason, it is determined whether a different member is in contact with one surface of the member by the method described below.

  That is, as a method for detecting representative points of different members, the closest second representative point arranged on the surface of the second region (member B) is detected from the first representative point (for example, a2). However, when it exists in the distance which a some member contacts the same surface, it detects according to the following procedure.

As a first method, a representative point of the kth member (for example, member B) is detected. When the detection of the representative point of the k-th member is finished, it is determined whether or not another member that is not detected in the detection target exists within a predetermined range. And when it determines with existing by this determination, the same process is performed with respect to the (k + 1) th member (for example, member C). Similarly, the process is repeated until there is no undetected member.
In the first method, the determination as to whether or not there is an undetected member is “whether or not there is an undetected member within a predetermined radius (for example, the width of the grid) from the representative point. Or “whether there is an undetected member in a plane having a predetermined area (for example, lattice size)”.

  A specific application example of the first method will be described with reference to FIG. FIG. 9 is a diagram illustrating an example of dot arrangement when two members are located on one surface of a constituent material. FIG. 9A shows a conceptual diagram when a member B indicated by reference numeral 51 and a member C indicated by reference numeral 52 are in contact with one surface A1 of a member (component) A indicated by reference numeral 50. Yes. FIG. 9B shows a cross-sectional view in the direction indicated by arrows D and D ′ in FIG.

  As shown in FIG. 9A, when the dots (representative points) of the members B and C are in the same plane A1 of the dot (representative points) a1 to a4 at the material surface end of the member A, the foreign material According to the rule that affects each other, when viewed from the dot a2, only the dot b2 at the shortest distance is affected, and the dot c2 is not affected. That is, the influence that the member A receives from the member C is overlooked. However, in the actual materials, the member A is influenced by the member C. Here, a problem caused by the rule for selecting the dots at the shortest distance, that is, the rule that “the dots (representative points) of the member C are not directly related to the positions of the respective dots a1 to a4 of the member A”. Nonconformity may occur.

  An example of a solution when the rule nonconformity occurs is shown in FIG. As shown in this figure, the constituent dots (◯ dots a) of the member A are not arranged in the surface A1 (the surface formed by a1 to a4) of the member A. In such a case, the dots (for example, b4, c4, c2, b2) arranged as representative points on the members B and C in contact with the surface A1 are at the same coordinate position (on the A1 surface). ○ Dots a (b4), a (c4), a (c2), a (b2), etc. are arranged as dots possessed by member A. Thereby, the member A is set so as to be influenced by both the members B and C.

  By using the method of adding dots as shown in FIG. 9B, the members B and C are formed in a ring shape or a stripe shape on one surface of the member A as shown in FIG. 9A. Even in the case of the arrangement, it can be determined that the two members B and C are in contact with the surface of the member A, and the influence of both the members B and C acting on the member A can be calculated. .

  Further, as a second method, when the x-th member (for example, the member B) and the y-th member (for example, the member C) are in contact with the constituent material (member A) serving as the base, the member A An example in which the xth member (for example, member B) is in contact with the xth member and the yth member (for example, member C) is in contact with the xth member will be described. This modeling is limited when a pair of members are in contact with each other.

  FIG. 10 is a diagram illustrating an example in which modeling is performed by the second method when two members are located on one surface of the member A. FIG. In the example shown in FIG. 10, as shown in FIG. 10A, a member B indicated by reference numeral 51 and a member indicated by reference numeral 52 are provided on one surface of a constituent material (member A) serving as a base indicated by reference numeral 50. C is an example of being arranged in a ring shape. FIG. 10B is a cross-sectional view in the direction indicated by arrows d1 and d2 in FIG.

  In such a configuration, as shown in FIG. 10C, a virtual member B ′ indicated by reference numeral 51 ′ is added to the member B in contact with the member A which is the base component. As a result, the member A is modeled on the assumption that the member B (including the member B ′) is in contact with the member A, and the member C (more precisely, the member B ′) is in contact with the member C. Then, the transmission coefficient of the member B ′ in the range in contact with the member C is set so that the influence from the member C is transmitted to the member A. Thereby, the influence degree with respect to the member B from the member C is permeate | transmitted and acts on the member A.

  More specifically, a transmission coefficient for transmitting the effect received from the □ dot 4 to the □ dot 2 in the member B ′ is determined. Then, by determining the transmission coefficient that transmits the degree of influence acting on member A from member C, the action received by □ dot 4 from △ dot 3 is transmitted to □ dot 2 corresponding to □ dot 4). Attenuation (for example, transmission) is transmitted according to the value of the coefficient, and the dot 2 is made to act on the dot 1 based on the transmitted influence.

  By using the first method or the second method, the members B and C are arranged in a ring shape or a stripe shape on one surface of the member A as shown in FIG. 9A. Also, it can be determined that the two members B and C are in contact with each other on the surface of the member A, and the influence of both the members B and C acting on the member A can be calculated.

(Display example of deterioration information of building materials)
Next, a method for displaying deterioration information of building members in the temporal change prediction system will be described. FIG. 11 is a diagram illustrating a display example of deterioration information of building members in a building. As shown in this figure, the deterioration information of the building member can be visually displayed by specifying various drawing expressions. 11A is a perspective view, FIG. 11B is an elevation view, FIG. 11C is an internal perspective view, and FIG. 11D is a plan view. According to the purpose of each figure, as shown to FIG. 11 (A), it can display by the difference in a color that the progress of deterioration differs with the installation position of the same building member 12. FIG. Here, the building member 12 shows a portion (building member 12a) shown as a symbol 12a having a different degree of deterioration and a portion (building member 12b) shown as a symbol 12b. Since the progress of deterioration differs between the building member 12a and the building member 12b, they are displayed in different colors (different brightness) corresponding to the progress of deterioration.
In addition, although each figure has illustrated the case where it arrange | positions on the surface of a building as the building member 12, in FIG.11 (C), the building member which exists in the part which cannot be normally seen with a time-dependent change prediction system. 12 positions can be displayed. As the building member 12 shown in FIG. 11C, a portion of the building member 12a shown in FIG. 11A is shown.

  In this way, by using the temporal change prediction system 101 of the present embodiment, the degree of deterioration of the building is expressed three-dimensionally for each member over time, as if it were a real object, thereby maintaining and maintaining the building. It can contribute to the judgment of the time. In addition, it is possible to feed back information on building maintenance to the owner or designer from the time of design. It can also indicate the location, location, and deterioration of any small part used in the building. In addition, the deterioration can be expressed up to the component part in the hidden position inside the building, and the deterioration that progresses inside can be clearly expressed. In addition, since the position and number of parts are known, the accuracy of grasping the scale of the repair work is eliminated.

(Configuration example of the temporal change prediction system)
Next, a configuration example of the temporal change prediction system will be described.
FIG. 12 is a diagram illustrating a configuration of a temporal change prediction system according to the embodiment.
A temporal change prediction system 101 shown in FIG. 11 includes a control unit 102, a communication control unit 103, an input / output interface 104, a representative point arrangement unit 105, a representative point selection unit 106, a state change calculation unit 107, A temporal change prediction unit 108, a display control unit 109, and a database 111 are provided. Further, the display unit 121, the terminal device 122, and the communication network 100 are connected to the temporal change prediction system 101.

The control unit 102 controls each unit in the temporal change prediction system 101 and controls the overall temporal change prediction system 101 to realize processing functions required for the temporal change prediction system 101.
The communication control unit 103 controls communication between the temporal change prediction system 101 and a terminal device (not shown) connected via the communication network 100.
The input / output interface 104 is a processing unit serving as an interface with the display unit 121 and the terminal device 122 connected to the temporal change prediction system 101, and transmits and receives data to and from the display unit 121 and the terminal device 122. .

The representative point arrangement unit 105 arranges representative points (dots) according to the predetermined dot arrangement rules (1) and (2) described above according to the shape of the building member (including outside air around the building member). I do.
The representative point selection unit 106 selects a representative point that is subject to temporal change prediction from a plurality of representative points (dots) arranged by the representative point arrangement unit 105, and affects the representative point of the prediction target. A process of selecting a point is performed. For example, the representative point of the ceiling 10 to be subjected to the temporal change prediction and the representative point (dot) of the outside air 20 that affects the representative point of the ceiling 10 are selected according to a predetermined rule.

The state change calculation unit 107 sets the representative point selected by the representative point selection unit 106, that is, the representative point that is subject to temporal change prediction, to the representative point that affects the prediction target representative point. Based on the parameter information (variables) set for each representative point, a process of calculating a state change of the member (for example, the ceiling 10) is performed.
The state change calculation unit 107 includes an intra-area transmission amount calculation unit 107a.

As shown in FIG. 10A, the intra-area transmission amount calculation unit 107a has members B and C arranged in a ring shape or a stripe shape on one surface of a base component (member A). Then, the deterioration of the member A due to the effect on the member A is calculated. The intra-area transmission amount calculation unit 107a determines a state in which a plurality of members are in contact with a specific surface, for example, a state in which two members B and C are in contact with the surface of the member A as in the above case. Then, the deterioration due to both the members B and C acting on the member A is calculated.
In the intra-region transmission amount calculation unit 107a, as shown in FIG. 10C, modeling is performed so that a virtual member B ′ indicated by reference numeral 51 ′ is added to the member B in contact with the component A. Do. As a result, the component B is in contact with the member B (including the member B ′), and the component C is in contact with the component B (more precisely, the component B ′). Then, the transmission coefficient of the member B ′ in the range in contact with the constituent material C is set so that the influence degree from the constituent material C is transmitted to the constituent material A. Thereby, the influence with respect to the structural material B is permeate | transmitted from the structural material C, and it acts on the structural material A, The influence which the structural materials B and C exert on the structural material A can be calculated.

The temporal change prediction unit 108 performs a process of predicting the temporal change (lifetime, etc.) of the members in the region based on the state of the building member (for example, the ceiling 10) calculated by the state change calculation unit 107.
The display control unit 109 generates an image to be displayed on the display unit 121. As an image to be displayed on the display unit 121, the display control unit 109 includes a structural model of a structural unit (building or the like) placed in a three-dimensional coordinate space and a building shown in the structural model of the structural unit (building or the like). A process of displaying the representative point of the member (or the representative point and the area of the building member including the representative point) in a superimposed manner is performed. In addition, in the process of generating an image to be displayed in a superimposed manner, a representative point is used instead of the structural model of the structural part placed in the three-dimensional coordinate space and the representative point of the building member shown in the structural model of the structural part. And the area of the building member including the representative point may be displayed in a superimposed manner.
In the process of overlaying and displaying the structural model of the structural part and the representative points of the structural member shown in the structural model of the structural part, when the service life of the structural member exceeds the useful life (or approaches the useful life) The color of the representative point of the building member (or the representative point and the region of the building member including the representative point) is displayed in a color different from the surroundings (for example, red). Furthermore, the degree of deterioration can be displayed in stages by changing the colors of the representative points (dots) in stages. For example, as the useful life decreases, the dot color can be displayed in a stepwise manner such as “green → yellow → orange → red”.

  The database 111 stores various data referred to in the temporal change prediction system 101. For example, the database 111 stores design information (for example, information on individual specifications such as the structure of a building, each part, member, and material) as CAD data 112 regarding a structure (building or the like) that is a subject of prediction of change over time. Remember.

The database 111 stores parameter information 113. This parameter information is information given to the representative point (for example, the ceiling 10) of each building member and the representative point of the surrounding environment element (for example, the outside air 20).
For example, the database 111 stores the position information “coordinates X, Y, Z” in the three-dimensional coordinate space, the type of building member ( Or material) information “material name”, property information “properties a, b,...” Affected by surrounding environmental elements. In addition, the database 111 includes position information “coordinates X, Y, Z” in a three-dimensional coordinate space as parameter information of representative points of environmental elements (for example, outside air 20) around a building member (such as the ceiling 10), Information on the type of the deterioration element “external force (for example, outside air)”, information on the property (or degree of deterioration) of the building member that deteriorates (“nature a, b,...”) And the like are stored.
The display unit 121 is a CRT (Cathode Ray Tube), a liquid crystal display device, or the like, and receives image data of an image generated by the display control unit 109 from the display control unit 109. Based on the received image data, the display unit 121 displays a representative point of the building member (or a representative point and a building member including the representative point) on the structural model of the structure (building or the like) placed in the three-dimensional coordinate space. (Overlapping areas) are overlapped and displayed. In this case, when the service life of the building member exceeds the useful life (or when it is approaching the service life), the representative point of this building member (or the representative point and the region of the building member including the representative point) Are displayed in a color different from the surroundings (for example, red).
The terminal device 122 is an input device that detects information input by the user, and is, for example, a keyboard or a mouse.

  The temporal change prediction system 101 shown in FIG. 12 has a computer system inside. A series of processes related to the above-described process is stored in a computer-readable recording medium in the form of a program, and the above-described process is performed by the computer reading and executing this program. Here, the computer-readable recording medium refers to a magnetic disk, a magneto-optical disk, a CD-ROM, a DVD-ROM, a semiconductor memory, and the like. Alternatively, the computer program may be distributed to the computer via a communication line, and the computer that has received the distribution may execute the program. The “computer system” here includes an OS and the like.

  The control unit 102, communication control unit 103, input / output interface 104, representative point arrangement unit 105, representative point selection unit 106, state change calculation unit 107, time change prediction unit 108, display control unit in the temporal change prediction system 101 All or some of the processes in 109 are realized by a central processing unit such as a CPU reading the above program into a main storage device such as a ROM or RAM, and executing information processing and arithmetic processing. Is. Of course, each processing unit constituting the temporal change prediction system 101 shown in FIG. 12 may be realized by dedicated hardware.

  FIG. 13 is a flowchart showing a processing flow in the above-described temporal change prediction system 101. Hereinafter, the processing flow will be described with reference to the flowchart shown in FIG.

As an initial state of processing in the temporal change prediction system 101 shown below, it is assumed that design information (CAD data 112) of a building to be subject to temporal change prediction is stored in the database 111 in advance.
First, the temporal change prediction system 101 specifies a building (for example, a building such as a building) that is a subject to change with time based on input information input to the terminal device 122 by the user. The temporal change prediction system 101 reads design information (CAD data 112) related to the specified structure (building or the like) from the database 111 (step S11).
Next, the member information of the building member that is designated by the user's operation and performs the temporal change prediction is acquired from the terminal device 122 in the building that is subject to the temporal change prediction (step S12). In addition, when designating this building member, the temporal change prediction system 101 may display the structural model of the building on the display unit 121 and allow the user to designate the building member on the display screen.

  The temporal change prediction system 101 calculates the position of the designated building member based on the CAD data 112 when the user designates the building member for which the change with time is designated by the user, and surrounding objects in contact with the building member (Painting, outside air, etc.) is determined. Thereafter, property information (parameter information 113) of the building member and surrounding objects (painting, outside air, etc.) is read from the database 111 (step S13).

  After that, the representative point arrangement unit 105 in the temporal change prediction system 101 is based on the building member information to be predicted and the shape information of the surrounding objects in contact with the building member, and each of these building members and the surrounding objects. Then, according to a predetermined dot arrangement rule, each area is divided and representative points (dots) are arranged (step S14). Also, the representative point arrangement unit 105 gives parameter information to the arranged representative points (dots) according to the type of member.

Next, the representative point selecting unit 106 represents the representative point of the building member (for example, the ceiling 10) that is subject to temporal change prediction from the representative points (dots) for each region arranged by the representative point arranging unit 105. And the representative point (dot) of the surrounding object (for example, outside air 20) which affects the representative point of this building member is selected according to a predetermined rule (step S15).
Next, the state change calculation unit 107 represents the representative point of the building member (for example, the ceiling 10) selected by the representative point selection unit 106 and surrounding objects (for example, outside air 20) that affect the representative point of the building member. ) Based on the interaction (parameter information) with the representative point of (), the state change of the representative point of the building member (for example, the ceiling 10) is calculated (step S16).
Then, the temporal change prediction unit 108 predicts the temporal change of the building member based on the state change of the representative point of the building member (for example, the ceiling 10) calculated by the state change calculation unit 107. For example, the remaining years (or months) until the useful life of the building member (for example, the ceiling 10) runs out is determined (step S17).

  Then, the display control unit 109 displays a structural model of a structure (such as a building) placed in the three-dimensional coordinate space on the display unit 121, and also displays representative points (representative points to be subject to temporal change prediction) on the structural model. ) Are overlapped and displayed (step S18). At the time of this display, when the service life of the building member (for example, the ceiling 10) exceeds the useful life (or when the service life is approaching), the display control unit 109 displays the representative point of the building member (or The representative point and the area of the building member including the representative point) are displayed in a color different from the surroundings (for example, red).

  Although the embodiment has been described above, the temporal change prediction system 101 displays the degree of deterioration of a building member or the like on a display screen that is three-dimensionally displayed for each member over time. In this way, the temporal change prediction system 101 can display information that contributes to the determination of the maintenance and maintenance timing of a building by displaying it as if it were real. Further, the temporal change prediction system 101 can perform feedback of information related to building maintenance from the design point of time to the architect or designer based on the displayed information. The temporal change prediction system 101 can also display the position, location, and deterioration level of detailed building members used in a building. Furthermore, the temporal change prediction system 101 can display the deterioration state up to the building parts and parts at the hidden positions inside the building, and can clearly display the deterioration state proceeding inside the building. Furthermore, since the temporal change prediction system 101 can calculate the position and number of building members that are required to be maintained, the estimated accuracy of the renovation work can be obtained when grasping the scale of the renovation work. Can be increased.

  Here, the correspondence relationship between the present invention and the above embodiment will be supplementarily described. In the above embodiment, the object that occupies the space in the present invention corresponds to a building (structure) or a building member (for example, the ceiling 10) that is a component of the building, and further, a building or a building member. The surrounding environmental elements (for example, outside air 20) correspond. In addition, the first object in the present invention corresponds to, for example, the ceiling 10 that is a building member, and the second object in the present invention corresponds to, for example, the outside air 20.

  Moreover, the member in this invention respond | corresponds to the member which has specific shapes, such as a building member (for example, sealing 10 and the coating 30), Furthermore, the surrounding environmental element (for example, the influence (deterioration)) to this building member The outside air 20) is also treated as a “member” in the sense of giving a representative point. In addition, the first member in the present invention corresponds to, for example, the ceiling 10 that is a building member, and the second member in the present invention corresponds to, for example, the outside air 20.

  (1) And in the said embodiment, as shown in FIG. 1, the time-change prediction system 101 is the area | region (area | region of the ceiling 10) defined corresponding to the member (sealing 10 or external air 20) which comprises a structure. Alternatively, the structure is modeled as a combination of a plurality of regions in units of the outside air 20 region, and the plurality of regions include a first region (dot A) corresponding to the first member (sealing 10). And a second region (region of the outside air 20 surrounded by the dots B) corresponding to the second member (outside air 20). The first region includes the second region (the outside air 20). The first representative point (for example, dot A1) is provided on the surface of the first region facing the region 2, and the second region has the second region facing the first region. The second representative point (for example, Δ dot B1) is on the surface. The first member (sealing 10) and the second member (outside air 20) according to the conditions acting between the first member (sealing 10) and the second member (outside air 20). In estimating each change over time, the degree of influence acting between the first member (sealing 10) and the second member (outside air 20) is defined by a variable (parameter information) indicating the degree of influence. As a result, the state change of the member (sealing 10) is represented based on the variables (parameter information) respectively set for the first representative point (● dot A1) and the second representative point (Δdot B1). A state change calculation unit 107 that calculates each point (● dot A).

  In the temporal change prediction system 101 having such a configuration, a structure (such as a building) is modeled as a combination of a plurality of regions as shown in FIG. The plurality of regions include a first region corresponding to the first member (sealing 10) and a second region corresponding to the second member (outside air 20). The first representative point (for example, the dot A1) is provided on the surface facing the second region, and the second representative point (for example, Δ on the surface facing the first region is provided in the second region). Dots B1) are provided. Then, the degree of influence acting between the first representative point and the second representative point is defined by a variable (parameter information), and based on this variable, the state change of the member (sealing 10) is represented by the representative point (●). Calculate for each dot A).

  Thereby, in the temporal change prediction system 101, even when the ambient conditions change according to the elapsed time, the degree of deterioration with time of individual members (sealing 10) constituting the structure (building etc.) is easy. Can be calculated. Further, the degree of deterioration of each member (sealing 10) can be displayed visually clearly and easily. For this reason, in the temporal change prediction system 101, the degree of deterioration of a building or the like is displayed three-dimensionally for each member (sealing 10) over time, as if it were an actual building, thereby displaying the building It can contribute to the judgment of the maintenance period.

(2) Further, in the above embodiment, the temporal change prediction system 101 causes the state change calculation unit 107 to use the first representative point (for example, the dot A1) and the second representative point (for example, the dot A1) on which the influence degree acts. , Dot B1) is determined according to the distance between two representative points.
In the temporal change prediction system 101 having such a configuration, for example, as shown in FIG. 1, among the Δdots B of the outside air 20 having parameter information that gives deterioration to the first representative point (for example, the dot A1). Then, the nearest dot B (for example, Δ dot B1) within a predetermined distance from the first representative point (● dot A1) is selected as the second representative point.
As a result, the temporal change prediction system 101 selects the second representative point (for example, Δ dot B1) having the parameter that affects the first representative point (for example, ● dot A1), and its influence. A change in the property of the first representative point (● dot A) can be calculated according to time.

(3) In the above embodiment, the temporal change prediction system 101 includes the first representative point from a plurality of representative points arranged according to a grid (grid) determined according to the shape of the region (such as the ceiling 10 and the outside air 20). A representative point selection unit 106 that selects a representative point (for example, dot A1) and a second representative point (for example, Δ dot B1) is provided.
In the temporal change prediction system 101 having such a configuration, the representative point selection unit 106 has a grid (for example, the grid 43 illustrated in FIG. 5) determined according to the shape of the region (for example, the cone 41 illustrated in FIG. 5). The first representative point and the second representative point are respectively selected from the plurality of representative points (Δ dot and □ dot) arranged according to the above.
As a result, the temporal change prediction system 101 can configure a model (representative point model) having the same shape as that of an actual building in a three-dimensional virtual space. A first representative point and a second representative point for calculating the degree of deterioration can be selected from the model (representative point model).

(4) In the above embodiment, the temporal change prediction system 101 has the representative point (for example, FIG. 1) at a position corresponding to the shape of the modeled region (the region of the ceiling 10 or the region of the outside air 20). A first representative point arrangement unit (representative point arrangement unit 105) for arranging the dots O and B shown in FIG.
Thereby, in the temporal change prediction system 101, the representative point placement unit 105 causes the representative point (for example, the dot A and the dot A shown in FIG. Δ dot B) can be arranged.

(5) In the above embodiment, the first representative point arrangement unit (representative point arrangement unit 105) includes a plurality of the first representative point arrangement units (representative point arrangement units 105) according to a lattice determined according to the shape of the region (the region of the ceiling 10 or the region of the outside air 20) Are arranged in a grid pattern.
In the temporal change prediction system 101 having such a configuration, the first representative point arrangement unit (representative point arrangement unit 105) arranges a plurality of representative points according to a grid determined according to the shape of the region. For example, in the case of the cone 41 shown in FIG. 5, a plurality of representative points (Δ dots and □ dots) are arranged according to a grid (grid 43).
As a result, the temporal change prediction system 101 can configure a model (representative point model) having the same shape as that of an actual building in a three-dimensional virtual space.

(6) In the above embodiment, the temporal change prediction system 101 predicts the temporal change of the member (sealing 10) according to the state of the member (sealing 10) calculated by the state change calculation unit 107. 108.
In the temporal change prediction system 101 having such a configuration, the temporal change prediction unit 108 is set for each of the first representative point (for example, the dot A1) and the second representative point (for example, the Δ dot B1). Based on the variable (parameter information), the state change of the member (ceiling 10) is calculated for each representative point (● dot A). Then, the temporal change prediction unit 108 estimates the temporal change of the member (sealing 10).
Thereby, in the temporal change prediction system 101, the degree of deterioration of a building or the like can be predicted for each member over time.

(7) In the above embodiment, the temporal change prediction system 101 superimposes a plurality of regions and a plurality of representative points on a model modeled as a combination of a plurality of regions placed in a three-dimensional coordinate space. A display control unit 109 for displaying is provided.
Thereby, when displaying the three-dimensional model of a structure (building etc.) on the display part 121, the representative point of a member (building member) (or the representative point and the area | region of the member containing this representative point) is displayed on it. be able to. For this reason, the degree of deterioration of a building or the like can be displayed as an image as if it were a real building in three dimensions for each member over time.

(8) Moreover, in the said embodiment, as shown in FIG.10 (C), the state change calculation part 107 is 3rd area | region (member C) 52 facing 2nd area | region (member B ') 51'. Is provided with a third representative point (Δdot 3) on the surface of the third region (member C) 52 facing the second region (member B ′) 51 ′, and the second region (member B). ') 51' is provided with a fourth representative point (□ dot 4) on the surface of the second region (member B ') 51' facing the third region (member C) 52; The first member (member A) 50 and the second member (member B ′) that change in accordance with the conditions acting on the second member (member B ′) 51 ′ from the third region (member C) 52, respectively. In estimating the time-dependent change of 51 ′, the condition acting on the second region (member B ′) 51 ′ from the third region (member C) 52 ′ is set as the third representative point (Δdot 3). And the fourth representative point (□ dot 4) are defined by variables (parameter information) indicating the degree of influence acting between the first representative point (□ dot 1) and the second representative point (□). The state change of the member (member A) 50 is calculated based on the variables (parameter information) respectively set for the dots 2).
As a result, as shown in FIG. 10A, even when the members B and C are arranged in a ring shape or a stripe shape on one surface of the base component (member A), It can be determined that the two members B and C are in contact with each other on the surface, and the influence of both the members B and C acting on the member A can be calculated.

(9) In the above embodiment, the temporal change prediction system 101 has a third region (member C) 52 facing the second region (member B ′) 51 ′ as shown in FIG. Are provided with a third representative point (Δ dot 3) on the surface of the third region (member C) 52 facing the second region (member B ′) 51 ′, and the second region (member B ′). ) 51 ′ is a second representative point in which a fourth representative point (□ dot 4) is provided on the surface of the second region (member B ′) 51 ′ facing the third region (member C) 52. An arrangement unit (representative point arrangement unit 105) is provided.
As a result, as shown in FIG. 10A, even when the members B and C are arranged in a ring shape or a stripe shape on one surface of the base component (member A), It can be determined that the two members B and C are in contact with each other on the surface, and the representative points can be arranged so that the member A is influenced by the members B and C.

(10) In the above embodiment, the temporal change prediction system 101, as shown in FIG. 10 (C), in the second region (member B ′) 51 ′, the fourth representative point (□ dot 4) The transmission coefficient for transmitting the action received from the second representative point (□ dot 2) corresponding to the fourth representative point (□ dot 4) is determined. By determining the degree of influence acting on the first region (member A) 50 as a transmission coefficient, the fourth representative point (□ dot 4) is affected by the third representative point (Δ dot 3). The second representative point (□ dot 4) corresponding to 4 representative points (□ dot 4) is attenuated according to the value of the transfer coefficient and transmitted to the second representative point (□ dot 2), and the second representative point is based on the transmitted degree of influence. In the region that acts from the point (□ dot 2) to the first representative point (○ dot 1) Comprising a Itaruryou calculator 107a.
As a result, as shown in FIG. 10A, even when the members B and C are arranged in a ring shape or a stripe shape on one surface of the base component (member A), It can be determined that the two members B and C are in contact with each other on the surface, and the influence of both the members B and C acting on the member A can be calculated.

(11) Moreover, in the said embodiment, as shown in FIG. 9, in the 1st area | region (member A) 50, the 2nd surface which faces 1 surface A1 of the 1st area | region (member A) 50 is 2nd. A fifth representative point (for example, ◯ dots a (b2) and a (b4)) corresponding to the representative points (for example, □ dots b2 and b4) is provided on one surface A1 of the first region (member A). The state change calculation unit 107 is based on the second representative point (for example, □ dots b2, b4) and the fifth representative point (for example, ◯ dots a (b2), a (b4)). Then, the state change of the first member (member A) 50 is calculated.
In the temporal change prediction system 101 having such a configuration, as shown in FIG. 9, when the first region (member A) 50 and the second region (member B) 51 face each other, the second region ( The fifth representative point (for example, the dots a (b2) and a (b4)) corresponding to the second representative point (for example, □ dots b2, b4) of the member B) 51 is set as the first region (member A). ) 50 is provided on one surface A1. Then, the state change calculation unit 107 calculates the first representative point (for example, □ dots b2, b4) and the fifth representative point (for example, ◯ dots a (b2), a (b4)). The change in the state of one member (member A) is calculated.
As a result, when the first region (member A) and the second region (member B) face each other, it corresponds to a representative point (for example, □ dots b2, b4) of the second region (member B) 51. A representative point (for example, a dot a (b2), a (b4)) is provided on the surface A1 of the first region (member A) 50, and the state change of the first member (member A) is calculated. Can do.

(12) In the above embodiment, as shown in FIG. 9, the fifth representative point (for example, the distance between the second representative point (for example, □ dots b2, b4) is within a predetermined range. , ○ dots a (b2), a (b4)) are arranged.
Thereby, the fifth representative point (for example, ◯ dots a (b2) and a (b4)) can be arranged at a position close to the second representative point (for example, □ dots b2 and b4).

(13) Further, in the above embodiment, as shown in FIG. 9, the second representative point (for example, □ dots b2, b4) is positioned with respect to one surface A1 of the first region (member A). Thus, a fifth representative point (for example, a dot a (b2), a (b4)) is arranged.
Thereby, the fifth representative point (for example, ◯ dots a (b2) and a (b4)) can be arranged at a position corresponding to the second representative point (for example, □ dots b2 and b4).

(14) In the above embodiment, as shown in FIG. 9, in the first region (member A), the second representative point facing one surface A1 of the first region (member A). A third representative point (for example, a dot a (b2), a (b4)) corresponding to (for example, □ dots b2, b4) is provided on one surface A1 of the first region (member A). The representative point arrangement unit (representative point arrangement unit 105).
Thereby, when the first region (member A) and the second region (member B) face each other, the representative corresponding to the representative point (for example, □ dots b2, b4) of the second region (member B). A point (for example, a dot a (b2), a (b4)) can be provided on the surface A1 of the first region (member A), and the state change of the first member (member A) is calculated. Can do.

(15) In the above embodiment, as shown in FIG. 9, the second region (member B) and the fourth region (member C) are formed on one surface A1 of the first region (member A). The fourth region (member C) is provided with sixth representative points (for example, Δ dots c2 and c4) on the first region side, and the first region (member A). ), A seventh representative point (for example, a dot a (c2), a (c4)) is provided on the surface A1 of the first region facing the fourth region (member C), Based on the seventh representative point (for example, ◯ dots a (c2) and a (c4)) and the sixth representative point (for example, Δ dots c2 and c4), the state change calculating unit 107 The state change of the member A is calculated.
In the temporal change prediction system 101 having such a configuration, as shown in FIG. 9, a plurality of members B and C are in contact with one surface A1 (the surface formed by the dots a1 to a4) of the first member A. In this case, a representative point (for example, b4, c4, c2, b2) is set on the surface in contact with the first member A in each of the plurality of members B and C. In addition, on one surface A1 of the first member A, the first member A has a position corresponding to a dot (for example, b4, c4, c2, b2) set as a representative point of the members B and C. Representative points (for example, dots a (b4), a (c4), a (c2), a (b2)) are set.
Accordingly, the representative point is set so that the member A is influenced by both the members B and C. For this reason, even when the members B and C are arranged in a ring shape or a stripe shape on one surface of the member A, it can be determined that the two members B and C are in contact with the surface of the member A. It is possible to calculate the influence of both the members B and C acting on the member A.

(16) In the above-described embodiment, the first region A1 of the first region faces the second region (member B) and the fourth region (member C), and the fourth region ( The member C) is provided with a sixth representative point (for example, Δ dots c2 and c4) on the first region side, and the first region (member A) faces the fourth region (member C). A fourth representative point arrangement unit (representative point arrangement unit 105) is provided that provides seventh representative points (for example, ◯ dots a (c2) and a (c4)) on the surface of the first region.
In the temporal change prediction system 101 having such a configuration, the fourth representative point arrangement unit (representative point arrangement unit 105) includes one surface A1 (circle dots a1 to a1) of the first member A as shown in FIG. When a plurality of members B and C are in contact with the surface formed by a4), representative points (for example, b4, c4, c2, b2) on the surface in contact with the first member A in each of the plurality of members B and C. ) Is set. In addition, on one surface A1 of the first member A, the first member A has a position corresponding to a dot (for example, b4, c4, c2, b2) set as a representative point of the members B and C. Representative points (for example, dots a (b4), a (c4), a (c2), a (b2)) are set. The fourth representative point arrangement unit (representative point arrangement unit 105) detects the representative point of the k-th member (for example, member B) among the plurality of members B and C, and the k-th member ( For example, at the stage where the detection of the representative point of the member B) is finished, it is determined whether or not there is another member (for example, the member C) whose representative point has not been detected. In this case, a representative point is detected with respect to the (k + 1) th member (for example, member C) for which the representative point has not been detected, and this representative point detection procedure is performed for a member whose representative point has not been detected. Repeat until it runs out.
Accordingly, the representative point is set so that the member A is influenced by both the members B and C. For this reason, even when the members B and C are arranged in a ring shape or a stripe shape on one surface of the member A, it can be determined that the two members B and C are in contact with the surface of the member A. It is possible to calculate the influence of both the members B and C acting on the member A.

  (17) In the above embodiment, the temporal change prediction system 101 has, as shown in FIG. 1, the object defined in units of regions defined corresponding to objects that occupy space (the ceiling 10 and the outside air 20). (Ceiling 10 and outside air 20) are modeled as a combination of a plurality of regions, and the plurality of regions include a first region corresponding to the first object (ceiling 10) (the region of the ceiling 10 surrounded by dots A). And a second region (region of the outside air 20 surrounded by the dots B) corresponding to the second object (outside air 20). The first region (the region of the ceiling 10) includes the second region. The first representative point (for example, dot A1) is provided on the surface of the first region facing the region (the region of the outside air 20), and the second region (the region of the outside air 20) has the first Area (of ceiling 10 A second representative point (for example, Δ dot B1) is provided on the surface of the second region facing the region, and the first object (sealing 10) and the second object (outside air 20) In estimating the time-dependent changes of the first object (sealing 10) and the second object (outside air 20) according to the conditions acting in between, the first object (sealing 10) and the second object ( By defining the degree of influence acting between the outside air 20) and the variable (parameter information) indicating the degree of influence, the first representative point (dot A1) and the second representative point (dot B1) are respectively determined. A state change calculation unit 107 that calculates a state change of the object (ceiling 10) for each representative point (● dot A) based on the set variable (parameter information).

  In the temporal change prediction system 101 having such a configuration, an object (such as a building) is modeled as a combination of a plurality of regions as shown in FIG. The plurality of regions include a first region corresponding to the first object (sealing 10) and a second region corresponding to the second object (outside air 20). Is provided with a first representative point (for example, a dot A1) on the surface facing the second region, and a second representative point (for example, on the surface facing the first region (for example, dot A1)) Δ dot B1) is provided. Then, the degree of influence acting between the first representative point and the second representative point is defined by a variable (parameter information), and based on this variable, the state change of the object (sealing 10) is represented by the representative point (●). Calculate for each dot A).

  Thereby, in the temporal change prediction system 101, it is possible to easily calculate the degree of deterioration with time of individual members (sealing 10) constituting the object (building or the like). Further, the degree of deterioration of each member (sealing 10) can be displayed visually clearly and easily. For this reason, in the temporal change prediction system 101, the degree of deterioration of a building or the like is displayed three-dimensionally for each member (sealing 10) over time, as if it were an actual building, thereby displaying the building. It can contribute to the judgment of the maintenance period.

Although the embodiment of the present invention has been described above, when the ambient condition changes according to the elapsed time by using the temporal change prediction system 101 of the present embodiment, the individual members constituting the structure over time. The degree of deterioration can be calculated.
In addition, the temporal change prediction system 101 can be used to determine the time for maintenance and maintenance of a building by expressing the degree of deterioration of a building in three dimensions for each member over time, as if it were a real object. In addition, by applying the temporal change prediction system 101 at the building design stage, it is possible to feedback information on building maintenance from the design stage to the architect or designer.
It can also indicate the location, location, and deterioration of any small part used in the building. For example, it is possible to express deterioration of a part provided in a hidden position inside a building up to a portion where the deterioration occurs, and to clearly express deterioration that progresses inside. For example, since the position and the number of parts that need to be replaced according to the progress of deterioration can be known, the accuracy in grasping the scale of the repair work is eliminated.
Furthermore, the temporal change prediction system 101 of this embodiment may be combined with a BIM (building information model).
The temporal change prediction system 101 is based on management data such as a building generated based on the BIM, and when the ambient conditions change according to the elapsed time, the temporal change of individual members constituting the structure The degree of deterioration can be calculated. The information generated by the temporal change prediction system 101 may be management data such as a building by BIM. Further, the temporal change prediction system 101 may be integrated with BIM (building information model) software that processes information based on BIM and may be part of the processing of the BIM software.
In this way, by combining the temporal change prediction system 101 with a BIM (building information model), the accuracy of calculating the degree of deterioration over time of individual members constituting the structure is improved, and buildings and the like are efficiently managed. can do.

  As mentioned above, although embodiment of this invention was described, a time-dependent change prediction system is not limited only to the above-mentioned illustration example, A various change can be added in the range which does not deviate from the summary of this invention. .

10 ... Sealing 11 ... Steel (sealing)
11A ... Corners 12, 12a, 12b ... Building members (members)
20 ... Outside air 30 ... Paint 41 ... Cone 42 ... Cuboid 43 ... Grid
DESCRIPTION OF SYMBOLS 100 ... Communication network 101 ... Temporal change prediction system 102 ... Control part 103 ... Communication control part 104 ... Input / output interface 105 ... Representative point arrangement | positioning part 106 ... Representative point selection part 107 ... State change calculation part 107a ... Intra-region transmission amount calculation part 108 ... Temporal change prediction unit 109 ... Display control unit 111 ... Database 112 ... CAD data 113 ... Parameter information 121 ... Display unit 122 ... Terminal device

Claims (19)

Modeling the structure as a combination of a plurality of regions, with the region defined corresponding to the member constituting the structure as a unit,
The plurality of regions include a first region corresponding to the first member and a second region corresponding to the second member,
The first region is provided with a first representative point on the surface of the first region facing the second region,
The second region is provided with a second representative point on the surface of the second region facing the first region,
In estimating each time-dependent change of the first member and the second member according to a condition acting between the first member and the second member,
By defining the degree of influence acting between the first member and the second member by a variable indicating the degree of influence, the first representative point and the second representative point are respectively set. A temporal change prediction system, comprising: a state change calculation unit that calculates a state change of the member for each representative point based on the made variable. In the state change calculation unit,
The time-dependent change according to claim 1, wherein a combination of the first representative point and the second representative point on which the degree of influence acts is determined according to a distance between the two representative points. Prediction system. A representative point selection unit that selects the first representative point and the second representative point from a plurality of the representative points arranged according to a lattice determined according to the shape of the region, respectively. The temporal change prediction system according to claim 1 or 2. 4. The time course according to claim 1, further comprising: a first representative point arrangement unit that arranges the representative point at a position corresponding to the shape of the modeled area. 5. Change prediction system. The first representative point arrangement part is:
The temporal change prediction system according to claim 4, wherein the plurality of representative points are arranged in a grid according to a grid determined according to the shape of the region. The temporal change prediction unit according to any one of claims 1 to 5, further comprising: a temporal change prediction unit that predicts a temporal change of the member according to the state of the member calculated by the state change calculation unit. Change prediction system. The display control unit for displaying the plurality of regions and the plurality of representative points on a model modeled as a combination of the plurality of regions placed in a three-dimensional coordinate space. The time change prediction system according to any one of claims 1 to 6. The third region facing the second region is provided with a third representative point on the surface of the third region facing the second region,
In the second region, a fourth representative point is provided on the surface of the second region facing the third region,
The state change calculation unit
In estimating the change over time of the first member and the second member, which change according to the conditions acting on the second region from the third region,
Conditions that act on the second member from the third region,
By defining the variable representing the degree of influence acting between the third representative point and the fourth representative point, the first representative point and the second representative point are set respectively. The time change prediction system according to any one of claims 1 to 7, wherein a state change of each member is calculated based on a variable. The third region facing the second region is provided with the third representative point on the surface of the third region facing the second region, and the second region includes the The temporal change prediction system according to claim 8, further comprising a second representative point arrangement unit that provides the fourth representative point on a surface of the second region facing the third region. In the second region,
A transmission coefficient for transmitting the action received from the fourth representative point to the second representative point corresponding to the fourth representative point is defined;
By defining the transfer coefficient that transmits the degree of influence acting on the first region from the third region, the fourth representative point receives the action received from the third representative point by the fourth representative point. The second representative point corresponding to a point is transmitted after being attenuated according to the value of the transmission coefficient, and from the second representative point to the first representative point based on the transmitted degree of influence. The temporal change prediction system according to claim 8 or 9, further comprising an intra-region transmission amount calculation unit that acts on the region. In the first region, a fifth representative point corresponding to the second representative point facing one surface of the first region is provided on one surface of the first region. ,
The state change calculation unit
Wherein a second representative point, on the basis of the representative point of the fifth, according to any one of claims 1 to 10, characterized in that calculating a state change of the first member Time change prediction system. The temporal change prediction system according to claim 11, wherein the fifth representative point is arranged so that a distance from the second representative point falls within a predetermined range. The fifth representative point is arranged so as to be positioned with respect to the second representative point with respect to one surface of the first region. Time change prediction system. In the first region, a third representative point corresponding to the second representative point facing one surface of the first region is provided on one surface of the first region. The temporal change prediction system according to any one of claims 11 to 13 , further comprising: a representative point arrangement unit. The second region and the fourth region face one surface of the first region,
In the fourth region, a sixth representative point is provided on the first region side,
In the first area, a seventh representative point is provided on the surface of the first area facing the fourth area,
The state change calculation unit
And the representative point of the seventh, the sixth on the basis of the representative point of, according to claims 10, characterized in that calculating a state change of the first member in any one of claims 14 Time change prediction system. The second region and the fourth region face one surface of the first region,
In the fourth region, a sixth representative point is provided on the first region side,
The said 1st area | region is equipped with the 4th representative point arrangement | positioning part which provides a 7th representative point in the surface of this 1st area | region facing the said 4th area | region. Item 16. The temporal change prediction system according to any one of item 15. Modeling the object as a combination of a plurality of regions, with the region defined corresponding to the object that occupies space as a unit,
The plurality of regions include a first region corresponding to a first object and a second region corresponding to a second object,
The first region is provided with a first representative point on the surface of the first region facing the second region,
The second region is provided with a second representative point on the surface of the second region facing the first region,
In estimating each time-dependent change of the first object and the second object according to a condition acting between the first object and the second object,
By defining the degree of influence acting between the first object and the second object by a variable indicating the degree of influence, the first representative point and the second representative point are respectively set. A temporal change prediction system, comprising: a state change calculation unit that calculates the state change of the object for each of the representative points based on the made variable. Modeling the structure as a combination of a plurality of regions, with the region defined corresponding to the member constituting the structure as a unit,
The plurality of regions include a first region corresponding to the first member and a second region corresponding to the second member,
The first region is provided with a first representative point on the surface of the first region facing the second region,
The second region is provided with a second representative point on the surface of the second region facing the first region,
In estimating each time-dependent change of the first member and the second member according to a condition acting between the first member and the second member,
By defining the degree of influence acting between the first member and the second member by a variable indicating the degree of influence, the first representative point and the second representative point are respectively set. A temporal change prediction method, wherein the computer executes a process of calculating a state change of the member for each of the representative points based on the variable. In the computer equipped with the secular change prediction system,
Modeling the structure as a combination of a plurality of regions, with the region defined corresponding to the member constituting the structure as a unit,
The plurality of regions include a first region corresponding to the first member and a second region corresponding to the second member,
The first region is provided with a first representative point on the surface of the first region facing the second region,
The second region is provided with a second representative point on the surface of the second region facing the first region,
In estimating each time-dependent change of the first member and the second member according to a condition acting between the first member and the second member,
By defining the degree of influence acting between the first member and the second member by a variable indicating the degree of influence, the first representative point and the second representative point are respectively set. The program for functioning as a state change calculation part which calculates the state change of the said member for every said representative point based on the said made variable.

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