JP6147494B2 - Information processing apparatus and room temperature estimation method - Google Patents

Description

  The present invention relates to a data processing technique, and more particularly to a technique for predicting a temperature change in a room accompanying renovation.

  At present, there is a case where a heat insulation reform for a room in a house is proposed instead of the whole house (see, for example, Non-Patent Document 1).

LIXIL Co., Ltd., “Coco Eco ｜ Easy and Comfortable Eco Reform”, [online], [Searched on November 19, 2012], Internet <URL: http://tostem.lixil.co.jp/lineup/kouhou/ cocoeco / ＞

  The present inventor considered that renovation construction costs a certain amount of money, and that it is important for business promotion to present the effects of the renovation construction to the customer in advance. However, the idea of quantitatively visualizing the effects of implementing heat insulation reform for a single room in the house, not the entire house, and its specific method have not been sufficiently proposed so far.

  This invention is made | formed in view of the said subject, and the main objective is to provide the technique which predicts quantitatively the effect by renovation of the one room in a building.

  In order to solve the above problems, an information processing apparatus according to an aspect of the present invention is an index value holding unit that holds an index value indicating the heat insulation performance of a building material that can be installed in units of one room in a building, Based on the acquisition unit that acquires temperature information measured in the room before the building material is installed, the measured temperature, and the index value of the building material, the temperature of the room alone when the building material is installed in the room is estimated. An estimation unit.

  Another aspect of the present invention is a room temperature estimation method. This method includes a step of obtaining information of temperature measured in a room before installing a building material that can be installed in one room in a building, an index value indicating a predetermined insulation performance of the building material, Based on the measured temperature, the computer executes a step of estimating the temperature of the room alone when the building material is installed in the room.

  It should be noted that any combination of the above-described constituent elements and a representation of the present invention converted between an apparatus, a method, a system, a program, a recording medium storing the program, and the like are also effective as an aspect of the present invention.

  ADVANTAGE OF THE INVENTION According to this invention, the technique which predicts quantitatively the effect by renovation of the one room in a building can be provided.

It is a figure which shows the structure of the reform diagnostic system of embodiment. It is a figure which shows typically the component of the one room used as renovation object. It is a block diagram which shows the function structure of the diagnostic server of FIG. It is a figure which shows the example of the data which a parameter holding part hold | maintains. It is a figure which shows typically the data which an evaluation criteria holding | maintenance part hold | maintains. It is a figure which shows the input screen of diagnostic required information. It is a figure which shows the input screen of diagnostic required information. It is a figure which shows the input screen of diagnostic required information. It is a figure which shows the various parameters for surface temperature calculation after repair. It is a figure which shows typically the estimation result by the heat retention power estimation part. It is a flowchart which shows the detailed process of a heat retention power estimation part. It is a figure which shows the heat balance type | formula of a room. 10 is a flowchart illustrating processing subsequent to FIG. 9. It is a figure which shows (eta) 0 value of the window after repair. It is a figure which shows a body temperature detection result. It is a figure which shows a foot warmth diagnostic result. It is a figure which shows the dew condensation diagnosis result of a window. It is a figure which shows the heat retention diagnostic result of a room. It is a figure which shows the air-conditioning expense diagnosis result. It is a figure which shows a comprehensive diagnosis result.

  In the embodiment, a renovation diagnosis system for diagnosing the effect of renovation in units of a single room inside a building (including a detached house, an apartment house, an office, etc.) is proposed. Renovation targeted by the remodeling diagnosis system is intended for a single room, not the entire building. For example, the heat insulation and airtightness of a room are enhanced by adding an inner window to an existing window and additionally installing a heat insulating material on an existing wall or floor.

  In the reform diagnosis system, a user actually measures the environment (for example, temperature) of a room to be reformed in a customer's house and uploads the measurement result to a server. In the present embodiment, the user of the remodeling diagnosis system, that is, the main body that measures the room environment is a remodeling contractor. However, the user of the remodeling diagnosis system is not limited to the remodeling contractor, and may be various subjects related to the remodeling. For example, it may be a dealer (distributor), a distributor (distributor), or an agent of renovation building materials. Further, the user of the remodeling diagnosis system may be a customer who examines whether or not remodeling is performed. In this case, the customer himself / herself may measure the environmental information of the room to be reformed, upload it to the website of the remodeling diagnosis, and display the result of the remodeling diagnosis on the screen for confirmation. Based on the measurement result uploaded from the user, the server predicts the environmental change (for example, temperature change) of the room when the renovation is performed, and provides the prediction result to the user.

  As a result, the environment of the room before the renovation and the environment of the room after the renovation are quantitatively visualized, and the effect of the renovation work is visualized. In the present embodiment, the five evaluation items assumed by the present inventors as main factors that impair the comfort and economy of the house, specifically, the sensory temperature, the warmth of the feet, the condensation of the windows, and the thermal insulation of the room. Evaluate the state before and after renovation for each of power and heating / cooling costs.

  FIG. 1 shows a configuration of a reform diagnosis system according to an embodiment. The reform diagnosis system 100 includes a trader terminal 102 and a diagnosis server 104. The trader terminal 102 and the diagnostic server 104 are connected via a communication network 106 including a LAN, a WAN, the Internet, and the like. The diagnosis server 104 is an information processing apparatus managed by a building material manufacturer. The diagnosis server 104 functions as a web server, and provides a web service (hereinafter also referred to as “reform diagnosis service”) that simulates and predicts a change in the indoor environment due to reform. Details of the diagnostic server 104 will be described later with reference to FIG.

  The trader terminal 102 is an information processing apparatus operated by a renovation contractor, for example, a PC on which a web browser is installed. It may be a mobile phone, a smartphone, or a tablet terminal. The merchant terminal 102 accesses the diagnosis server 104 via the communication network 106 and displays a web page of the reform diagnosis service on the display. The remodeling contractor inputs information regarding the room to be reformed on the input screen of the web page, and uploads it to the diagnosis server 104. The trader terminal 102 acquires the result of the diagnostic processing by the diagnostic server 104 from the diagnostic server 104, displays the result on the display, and causes the printer to print it.

  FIG. 2 schematically shows components of a room to be reformed. For example, in the case of a two-story detached house, this room is one of a living room (living room), a bedroom, a child room, a study, etc. provided on the first or second floor. The remodeling contractor uses various measuring instruments such as a digital thermo-hygrometer and a sound level meter to determine the surface temperature, dimensions, orientation, etc. of elements in all directions that form a room, such as the ceiling, four walls, floors, and windows. Measure and confirm information related to indoor environment. Here, information (hereinafter, also referred to as “diagnosis required information”) measured and confirmed by the remodeling contractor and uploaded to the diagnosis server 104 will be described.

  For example, diagnosis necessary information includes information on indoor environment: 1) temperature 120 cm above the floor (room temperature), humidity, dew point temperature, 2) temperature 10 cm above the floor (temperature near the floor), 3) ceiling Dimensions, ceiling surface temperature, 4) Orientation, dimension, wall surface temperature 1, wall surface temperature 2 (surface temperature at two different locations), 5) floor dimensions, floor surface temperature, 6) windows Includes orientation, dimensions, window surface temperature, window type, and sunscreen type. It also includes the outside air temperature when measuring the indoor environment.

  The information necessary for diagnosis includes morning and evening room temperatures, outside air temperatures, morning and evening temperature difference information including measurement time, property information including the building year of the building and the location of the room in the building, the type of air conditioner and set temperature in the room, Air conditioning equipment information including fuel and air conditioning efficiency is included. Furthermore, when the window is modified (for example, an inner window is added), the specification of the window after the modification (for example, the type of the inner window) selected by the remodeling contractor is included.

  FIG. 3 is a block diagram showing a functional configuration of the diagnostic server 104 of FIG. The diagnosis server 104 includes a data processing unit 120 that executes data processing for the reform diagnosis service, and a data holding unit 110 that is a storage area for storing various data for the data processing. In addition, since the function itself as a web server is well-known, detailed description is abbreviate | omitted.

  Each block shown in the block diagram of the present specification can be realized in terms of hardware by elements and mechanical devices such as a CPU and a memory of a computer, and in terms of software, it can be realized by a computer program. , Depicts functional blocks realized by their cooperation. Therefore, those skilled in the art will understand that these functional blocks can be realized in various forms by a combination of hardware and software.

  For example, a program module corresponding to each functional block in the data processing unit 120 may be stored in a storage such as a hard disk of the diagnosis server 104. Then, the function of the data processing unit 120 may be realized by the CPU of the diagnostic server 104 reading and executing these program modules into the main memory. Further, the function of the data holding unit 110 may be realized by the storage of the diagnostic server 104 or the main memory.

  The data holding unit 110 includes a parameter holding unit 112 and an evaluation reference holding unit 114. The parameter holding unit 112 holds various parameters for simulation processing by a diagnostic processing unit 128 described later. FIG. 4 shows an example of data held by the parameter holding unit 112. Here, four tables shown in FIGS. 4A to 4D are shown. However, the parameter holding unit 112 holds various parameters such as tables described later in the embodiment as a table, for example.

  FIG. 4A shows a table that holds parameters of fixed values that are the premise of the simulation process. FIG. 4B shows a table that holds information on building materials (hereinafter also referred to as “commodities”) additionally installed in the room to be reformed. Commercial materials are building materials and fittings used for remodeling in units of rooms, and building materials and fittings that can be installed in units of one room. For example, additional wall insulation for existing walls, additional ceiling insulation for existing ceilings, additional floor insulation for existing floors, additional to existing windows Includes internal windows and doors to be installed. The product information is an index value indicating the heat insulation performance of various products, in other words, an index value indicating the degree of influence on the indoor environment (for example, temperature). For example, index values such as a thermal resistance value, a thermal conduction resistance, and a thermal conductivity may be determined. In FIG. 4B, these index values are indicated by symbols A to C, but actually, specific numerical values may be stored.

  FIG.4 (c) has shown the table holding the heat transmissivity of a window. In the embodiment, the heat transmissivity predetermined for each combination of the specification of the existing window and the modified window specification (for example, the specification of the inner window to be added) is maintained. In FIG.4 (c), although the value of the heat transmissivity is shown by the symbol of al, a concrete numerical value may be stored in fact. The heat transmissivity shown in FIG. 4 (c) is predetermined as an experience value of the company based on the measured values before and after the renovation so far.

  Returning to FIG. 3, the evaluation criterion holding unit 114 holds a criterion for determining the evaluation points ranging from 1 to 5 with respect to the heat insulating performance after the reforming. FIG. 5 schematically shows data held by the evaluation reference holding unit 114. For each of the five evaluation items (body temperature, foot warmth, window dew condensation, room heat retention, air conditioning costs), the evaluation standard holding unit 114 is a grade 4 of the house performance display system, that is, the next generation energy saving standard ( A predetermined reference value corresponding to (1999) and an evaluation score “5” are held in association with each other. Further, grade 1 of the house performance display system, that is, a predetermined reference value corresponding to before the energy saving standard and an evaluation score “1” are held in association with each other.

  For example, for the evaluation item “body temperature”, a reference value of the difference between room temperature and body temperature may be associated with the evaluation score. For the evaluation item “warmth of feet”, the reference value of the upper and lower temperature difference may be associated with the evaluation score. For the evaluation item “window condensation”, a reference value of the difference between the window surface temperature and the dew point temperature may be associated with the evaluation point. In addition, for the evaluation item “room heat retention capacity”, a reference value of a temperature difference between a room temperature during heating and a room temperature after a predetermined time has elapsed since heating is stopped may be associated with an evaluation score. For the evaluation item “cooling / heating costs”, the reference value of the annual cooling / heating load per unit floor area may be associated with the evaluation point, or the reference value of the annual cooling / heating cost may be associated with the evaluation point. In addition, between the evaluation points “5” and “1”, the grade 3 of the house performance display system, that is, the new energy saving standard (1992), and the grade 2 of the house performance display system, that is, the old energy saving standard (Showa 55). Year).

  Returning to FIG. 3, the data processing unit 120 includes an input screen providing unit 122, an input information acquiring unit 124, a diagnostic result providing unit 126, and a diagnostic processing unit 128. The input screen providing unit 122 accepts access from the supplier terminal 102, and transmits a web page indicating an input screen for diagnosis necessary information to the supplier terminal 102 for display. 6 (a), 6 (b), and 6 (c) show an input screen for diagnosis necessary information. FIG. 6A shows an input area for information related to the property, room, ceiling, and floor in the input screen 70.

  FIG. 6B shows an input area for information on walls and windows in the input screen 70. The remodeling contractor switches the tab 72 (walls 1 to 4) and inputs information on each of the four walls constituting the room. Further, the remodeling contractor switches the tab 74 (windows 1 to 6) and inputs information on each of one or more windows provided in the room. In the window renovation proposal field 76 and the solar radiation shielding remediation proposal field 78, the remodeling contractor can arbitrarily select the type of window and the renovation proposal for the solar radiation shielding. For example, as shown in Fig. 4 (c), as a modification plan of the type of window, "CCC single plate glass", "CCC general double-glazed glass", "CCC heat insulating double-glazed glass", "CCC heat-insulating double-glazed glass" You may be able to select either

  FIG. 6C shows an input area for a temperature difference between morning and evening and air conditioning equipment information in the input screen 70. When the remodeling contractor clicks the trial calculation button 80, the contractor terminal 102 uploads the diagnosis necessary information input to the input screen 70 to the diagnosis server 104, and the diagnosis server 104 starts the diagnosis process. It should be noted that the result of the renovation diagnosis differs depending on the information necessary for diagnosis input on the input screen 70, for example, whether or not the repair is performed and the type of the window repair plan.

  The input information acquisition unit 124 acquires the necessary diagnosis information input on the web page of the input screen from the supplier terminal 102 and passes it to the diagnosis processing unit 128. The diagnosis result providing unit 126 receives a diagnosis result download request from the supplier terminal 102 and transmits the diagnosis result data created by the diagnosis processing unit 128 to the supplier terminal 102.

  The diagnosis processing unit 128 predicts the indoor environment after the renovation by simulating a change in the indoor state accompanying the renovation. The diagnosis processing unit 128 includes a sensible temperature estimation unit 130, a near-floor temperature estimation unit 132, a heat insulation power estimation unit 134, a heating / cooling cost estimation unit 136, and a diagnosis result creation unit 138.

  The sensible temperature estimation unit 130 calculates the sensible temperature before remodeling and estimates the sensible temperature after remodeling. The sensible temperature estimation unit 130 obtains the sensible temperature before remodeling 1) obtains the surface area of each surface of the room, and 2) obtains the average surface temperature of each surface of the room (hereinafter referred to as “simple MRT”). 3) The sensory temperature is calculated in three steps. In addition, the sensory temperature after the renovation is calculated in three steps: 1) correcting the surface temperature of the repaired surface to be reformed, 2) obtaining a simple MRT after the modification, and 3) obtaining the sensory temperature after the reforming. This will be described in detail below.

1. Calculation process of sensory temperature before renovation:
1) Obtain the surface area of each surface.
First, determine the surface area of walls, ceilings, floors, and windows.
Surface area of each wall = ceiling height x width (calculated for each of the four surfaces)
Ceiling surface area = Width x Depth Floor surface area = Width x Depth Window surface area = Width x Height (Calculated only for windows entered on input screen)

Next, when the orientation of the wall matches the orientation of the window, it is determined that the wall has a window, and the surface area of the wall surface with the window is corrected.
The surface area of the wall excluding the window = the surface area of the wall (with the same orientation) −the surface area of the window Then, the surface area of the entire room is calculated.
Total surface area of the room = Surface area of each wall + Surface area of the ceiling + Surface area of the floor

2) Find a simple MRT.
First, the ratio of the surface area of each surface to the surface area of the entire room is obtained.
Wall surface area ratio = (surface area of the wall without windows + wall surface area excluding windows) ÷ surface area of the entire room ceiling surface area ratio = ceiling surface area ÷ surface area of the entire room floor surface area ratio = floor surface area ÷ surface area of the entire room window Surface area ratio = Window surface area ÷ Total surface area of the room

Next, the surface temperature rate of each surface of the room, that is, the contribution of the surface temperature of each surface to the surface temperature of the entire room is obtained. In addition, about the wall surface, the measured average value of 2 points | pieces is used. That is, the following wall surface temperature average value = (surface temperature 1 + surface temperature 2) ÷ 2.
Wall surface temperature ratio = Wall surface area ratio x Wall surface temperature average value Ceiling surface temperature ratio = Ceiling surface area ratio x Ceiling surface temperature Floor surface temperature ratio = Floor surface area ratio x Floor surface temperature Window surface temperature ratio = Window surface area ratio x Window surface temperature Then, a simple MRT is calculated by adding the surface temperature ratio of each surface.
Simple MRT = Wall surface temperature rate + Ceiling surface temperature rate + Floor surface temperature rate + Window surface temperature rate

3) From the simple MRT and room temperature, find the temperature before remodeling.
Experience temperature = (simple MRT + room temperature) ÷ 2

2. Estimated temperature after remodeling:
Here, first, a method for calculating the wall surface temperature after renovation will be described. FIG. 7 shows various parameters for calculating the surface temperature after refurbishment. In the image of each wall before and after the renovation, the left side is indoor and the right side is outdoor (typically outdoor).

Here, the temperature rise from the indoor side surface temperature to room temperature is obtained from a value obtained by apportioning the difference between the internal and external temperatures by the ratio of the thermal resistance value, and the surface temperature after renovation is calculated.

Based on the same idea, the thermal resistance value of the existing wall is calculated from the value of the temperature rise from the indoor surface temperature to room temperature.

From the above formulas 1 and 2, the surface temperature after the repair is obtained by the following formula 3.

  The floor surface temperature and ceiling surface temperature after renovation are calculated using the same concept (Formula 3). Note that the underfloor temperature is the same as the outside air temperature in the embodiment because it is difficult to grasp the underfloor ventilation for each property. If it is equivalent to the outside temperature, the surface temperature will be lower, so it will be a safe value. In addition, about the window surface temperature after a repair, as shown in FIG.4 (c), the heat | fever transmissivity of the window part after an inner window construction is previously hold | maintained as data, and surface temperature is calculated from the value. .

1) Correct the surface temperature.
The surface temperature (tw) of each wall surface to be repaired is obtained according to Equation 3. Here, αi × r2 is 9A which is the product of the indoor heat transfer coefficient (= 9) and the thermal resistance value (= A) of the wall heat insulating material AAA shown in FIG. Equation 4 is obtained.

When the ceiling is to be repaired, the surface temperature (tc) is obtained according to Equation 3. Here, αi × r2 is 9B which is the product of the indoor heat transfer coefficient (= 9) and the thermal resistance value (= B) of the ceiling insulation work shown in FIG. 4B, and the calculation formula is as follows: 5

If the floor is to be repaired, its surface temperature (tf) is determined according to Equation 3. Here, αi × r2 is 9C, which is the product of the indoor heat transfer coefficient (= 9) and the thermal resistance value (= C) of the floor heat insulating material BBB shown in FIG. 4 (b). Equation 6 is obtained.

Next, the surface temperature (tm) of each window to be repaired is obtained by the following equation (7). Here, as shown in FIG. 4 (c), the heat transmissivity (Ka) of the window is a value corresponding to the combination of the current window type and the modified window type selected by the renovation contractor. Set.

2) Obtain a simple MRT after renovation.
For the repaired surface, the surface temperature ratio after the repair is obtained by multiplying the surface temperature after the repair and the ratio of the surface area. The following surface area ratio of the renovation wall is a value obtained by dividing the total surface area of the wall to be refurbished when there is no window and the surface area excluding the window when there is a window by the surface area of the entire room. Any temperature rate is calculated and added for each element to be repaired (for example, for each wall to be repaired or for each window to be repaired).
Wall surface temperature ratio after renovation = Renovated wall surface area ratio x Corrected wall surface temperature (tw)
Renewed ceiling surface temperature rate = ceiling surface area ratio x corrected ceiling surface temperature (tc)
Floor surface temperature ratio after renovation = Floor surface area ratio x Corrected floor surface temperature (tf)
Window surface temperature ratio after repair = Window surface area ratio x Corrected window surface temperature (tm)

Then, a simple MRT is calculated by adding all the surface temperature ratios of each surface. In addition, about the surface which is not a repair object, ie, the wall and floor which do not add a heat insulating material, and the window which does not add an internal window, it calculates | requires using the present surface temperature (namely, input value to a web page).
Simple MRT = Wall surface temperature ratio after repair + Ceiling surface temperature ratio after repair + Floor surface temperature ratio after repair + Window surface temperature ratio after repair + Surface temperature ratio of the unmodified surface (ie Value obtained in the calculation process)
3) Find the temperature after renovation.
Sensitive temperature after renovation = (Simple MRT after renovation + room temperature) ÷ 2

The near-floor temperature estimation unit 132 calculates a difference between the room temperature and the near-floor temperature (hereinafter, also referred to as “upper and lower temperature difference”) before the reform (renovation). Then, the temperature difference near the floor after remodeling (renovation) is estimated, and the temperature near the floor after remodeling is estimated. here,
Ti: Temperature 120 cm above the floor (room temperature)
Tf: The temperature 10 cm above the floor (the temperature near the floor).

  The near-floor temperature estimation unit 132 obtains the difference between the upper and lower temperatures before the repair (that is, the current state) from Ti-Tf. Then, the coefficient α and the correction value β are determined based on the year of construction and the current temperature difference between the upper and lower sides. For example, the near-floor temperature estimation unit 132 sets the building year to a predetermined evaluation function that outputs a larger value as α and / or β as the building year is older and / or the current upper and lower temperature difference is larger. And the current temperature difference may be input to obtain the values of α and β. Further, for example, the data holding unit 110 may hold a table that defines a correspondence relationship between the combination of the building year and the current temperature difference, the coefficient α, and the correction value β. Similarly to the above evaluation function, this table may correspond to a larger value as α and / or β as the building year is older and / or the current upper and lower temperature difference is larger. The near-floor temperature estimation unit 132 may obtain the coefficient α and the correction value β corresponding to the combination of the building year and the current temperature difference with reference to this table.

The near-floor temperature estimation unit 132 calculates the upper and lower temperature difference after the repair,
Upper / lower temperature difference after renovation = α (Ti−Tf) + β.
And the temperature near the floor after renovation,
The temperature near the floor after refurbishment = room temperature-the temperature difference between the top and bottom after renovation

  Next, the estimation process of the thermal insulation power estimation unit 134 will be described. Conventionally, the Q value (heat loss coefficient) indicating the thermal insulation performance of the entire building has been known, but the idea of obtaining the thermal insulation performance of a single room in the building and its specific method have not been sufficiently proposed. It was. From the first indoor temperature measured in the room being heated and the second indoor temperature measured in the room after a predetermined time has elapsed since heating was stopped, the insulative performance of the room (specifically, We propose a method for estimating the thermal conduction resistance of each part of the room. By estimating the thermal insulation performance of a single room in this way, it is possible to see the transition of the temperature drop in the room before the renovation of the single room and the transition of the temperature drop in the room after the renovation of the single room. Visualize the difference in temperature drop before and after renovation.

  In addition, the present inventor is an index value that is positively correlated with the amount of heat lost from a room per predetermined unit time, and is a new index value that indicates the heat insulation performance of a single room in a building. Defined. By using this heat retaining performance, it becomes easy to compare the heat insulation performance of one room before and after the renovation, and also to compare the heat insulation performance between different rooms. In addition, the thermal insulation performance of embodiment shows that the heat insulation of a room is so high that the value is small. Therefore, typically, the value of the heat retaining performance after the reforming is smaller than the value of the heat retaining performance before the reforming.

  First, the process of the heat insulation power estimation unit 134 will be outlined. FIG. 8 schematically shows a result of estimation by the heat retaining power estimation unit 134. In the room before renovation, the thermal insulation power estimation unit 134 measures the indoor temperature measured during heating (first indoor temperature 82) and the indoor temperature measured after a predetermined time has elapsed after stopping the heating (second indoor temperature 84). ), The transition of the temperature drop with the passage of time in the room before renovation (calculated value before renovation in FIG. 8) is estimated, and the heat insulation performance of the room before renovation is estimated. The first room temperature in the embodiment is the room temperature when heating is stopped at night, and the second room temperature is the room temperature in the morning when heating is stopped and a predetermined time has elapsed.

  The thermal insulation power estimation unit 134 estimates the current thermal insulation performance so as to match the temperature change from the first indoor temperature 82 to the second indoor temperature 84, and identifies the current thermal insulation performance based on the thermal insulation performance. The heat insulation power estimation unit 134 estimates the heat insulation performance after the renovation by correcting the current heat insulation performance based on the index value of the performance (heat insulation) of the product used for the renovation. And based on the heat insulation performance after renovation, the transition of the temperature drop with the passage of time in the room after renovation (calculated value after repair in FIG. 8) is estimated. Moreover, the heat retention performance after remodeling is specified based on the heat insulation performance after remodeling. Hereinafter, the details of the process of the heat retention estimation unit 134 will be described.

  FIG. 9 is a flowchart showing a detailed process of the heat retention estimation unit 134. The thermal insulation power estimation unit 134 acquires necessary data from the input screen (S10). For example, construction year, room dimensions (width, depth, ceiling height), window dimensions, window U value, room temperature and outside temperature when heating is stopped, heating stop time, room temperature and outside temperature in the morning, room temperature in the morning The measurement time and information on the part to be insulated are acquired. The U value of the window may be acquired by holding the correspondence between the window type and the U value in advance and selecting the U value according to the type of the existing window input on the input screen.

The thermal insulation power estimation unit 134 assumes the thermal conductivity (W / mK) of the wall, ceiling (roof), and floor insulation (S12). Both the insulation thickness (mm) and thermal conductivity resistance (m2K / W) corresponding to the thermal conductivity of each part may be variables, but the insulation thickness may be a given fixed value, An assumed value of thermal conduction resistance corresponding to the assumed value of conductivity may be calculated. Here, the heat conduction resistance is
Thermal conductivity resistance = thickness ÷ 1000 ÷ heat conductivity.

  The thermal insulation power estimation unit 134 loops the subsequent processing of S14 to S20 and repeats the calculation by the Newton-Raphson method. The thermal insulation power estimation part 134 estimates the transition of the room temperature after the heating stop in the room before renovation (S14). FIG. 10 shows the heat balance equation of the room. The thermal insulation power estimation part 134 performs thermal network calculation according to the heat balance equation of FIG. 10, and specifies the transition of room temperature over time. In other words, a combination of the elapsed time from the heating stop and the room temperature corresponding to the elapsed time is calculated. In the thermal network calculation of the embodiment, the time step is 600 seconds, the simulation by the backward difference method, the internal heat generation (for example, a refrigerator or other equipment) is 66.9 W, and the amount of air leakage is a corresponding gap area based on the construction year. Assume that it is assumed.

  The thermal insulation power estimation unit 134 compares the morning room temperature calculated in S14, that is, the predicted value of the room temperature after the elapse of a predetermined time after stopping the heating, with the second indoor temperature that is an actual measurement value (S16). When the temperature difference between the predicted value and the actually measured value is equal to or smaller than a predetermined allowable value (for example, within a range of ± 0.5 ° C.) (Y in S18), the iterative calculation loop is exited. If the temperature difference exceeds the allowable value (N in S18), the thermal conductivity resistance is corrected by correcting the thermal conductivity of the heat insulating material in each part of the room (S20), and S14 is executed again. When Y in S18, the room thermal insulation performance (specifically, thermal conductivity, thermal conduction resistance) assumed in S12 or S20 is determined as the actual thermal insulation performance of the room, and the steps shown in FIG. Execute. The allowable value may be a threshold value of an error that can be ignored based on the experience and knowledge of the building material manufacturer, in other words, a threshold value that is assumed to sufficiently approximate the predicted value and the actual measurement value.

FIG. 11 is a flowchart showing processing subsequent to FIG. The thermal insulation power estimation unit 134 calculates the thermal conductivity of the heat insulating material of each part from the thermal conductivity of the heat insulating material of each part that matches the second indoor temperature as an actual measurement value. Based on the following formulas 8 and 9, the heat insulation performance of the room before the repair is calculated (S22).

  The thermal insulation power estimating unit 134 refers to the heat conduction resistance of each product held as a product parameter in the parameter holding unit 112, and conducts heat conduction on the indoor side of the wall, ceiling (roof), floor, and window to be repaired. To the resistance, the heat conduction resistance of the commercial product additionally installed in each part by refurbishment is added (S24). Then, based on the heat conduction resistance of each part corrected in S24, the thermal circuit network calculation is executed in the same manner as in S14, and the transition of the room temperature with the passage of time in the renovated room is specified. In other words, a combination of the elapsed time from the heating stop and the room temperature corresponding to the elapsed time is calculated (S26). In this thermal network calculation, it is assumed that the amount of air leakage has been reduced by the renovation, and a smaller value than the calculation before the renovation is used.

  As for S26, for example, in FIG. 8, the first indoor temperature 82 as an actual measurement value is 24 ° C., the second indoor temperature is 4.4 ° C., the outside air temperature at night based on AMeDAS data is 0.4 ° C., and the outside air temperature in the morning is In the case of −2.7 ° C., 11.4 ° C. is estimated as the room temperature in the morning after the refurbishment (when 6 hours have passed since the heating was stopped).

  The thermal insulation power estimation unit 134 calculates the thermal conductivity corresponding to the heat conduction resistance of each part corrected in S24, and calculates the thermal insulation performance of the room after renovation based on Expression 8 and Expression 9 as in S22 (S28). ). Then, the estimated value of the heat insulation performance before and after the renovation and the estimated data of the transition of the room temperature after the heating stop after the renovation and after the renovation are stored in the data holding unit 110 (S30).

Furthermore, the thermal insulation power estimation unit 134
Room temperature decrease before renovation = Room temperature at night-Room temperature in the morning before renovation Room temperature decrease after renovation = Room temperature decrease at night-Room temperature in the morning after renovation Store to 110. Here, the room temperature at night means the room temperature during heating (or immediately after the heating is stopped), and the morning room temperature means the room temperature after a predetermined time has elapsed since the heating was stopped.

  The heating / cooling cost estimation unit 136 inputs the heating / cooling equipment information input on the input screen and the thermal insulation performance estimated by the thermal insulation power estimation unit 134 into a predetermined evaluation function, and the annual heating / cooling cost and CO2 emission before and after the renovation. Estimate the amount. And the amount of annual cooling and heating costs and CO2 emission reductions before and after renovation are estimated. The heating / cooling cost estimation unit 136 determines the annual heating / cooling cost and the amount of CO2 emission to be smaller as the value of the heat insulation performance of the room is smaller, that is, the heat insulation of the room is higher. Hereinafter, detailed processing of the heating / cooling cost estimation unit 136 will be described.

The heating / cooling cost estimation unit 136 first calculates a solar radiation acquisition coefficient (hereinafter referred to as “partial μ value”) for each room as a determination parameter for the heating load and the cooling load.
1. Calculation of partial μ value before renovation:
1) Find the amount of solar intrusion from the roof.
Generally, it is assumed that the horizontal projected area of the roof × the ceiling solar radiation penetration rate × the orientation coefficient. Here, the surface area of the ceiling of the room is used as the horizontal projected area of the roof. The ceiling solar radiation penetration rate is calculated by the following formulas 10 and 11. The approximate U value means the approximate heat transmissibility.

  Regarding the ceiling orientation factor, the roof portion is always set to 1, so it is ignored. As described above, in the embodiment, the amount of solar intrusion from the roof = the ceiling surface area × the ceiling solar intrusion rate is obtained. If a skylight is provided, calculate the amount of solar intrusion from the skylight = skylight surface area x window solar intrusion rate, and add the amount of solar intrusion from the skylight to the amount of solar intrusion from the roof. However, the calculation of the amount of solar intrusion from the roof is performed only when the room to be repaired is on the top floor.

2) Find the amount of solar intrusion from the wall.
In general, it is assumed that outer wall area × wall solar radiation penetration rate × azimuth coefficient. Here, the wall surface area (excluding the window surface area) of the surface to be repaired is used as the outer wall area. The wall solar radiation penetration rate is calculated by the following equations 12 and 13.

For the wall orientation coefficient, the value corresponding to the wall orientation (input data) and the building area classification is determined from the following table. As the region classification, a region classification preliminarily associated with the region and the point selected on the input screen is selected.

From the above, in the embodiment,
Solar radiation penetration amount from wall = wall surface area x wall solar radiation penetration rate x wall orientation coefficient.

3) Obtain the amount of solar intrusion from the window.
In general, it is assumed that opening area × window solar radiation penetration rate × azimuth coefficient. Here, the window surface area is used as the opening area. Subsequently, the η0 value of the window is specified according to the following table based on the combination of the window type before the renovation and the solar radiation shield before the renovation.

The correction coefficient is determined based on the presence or absence of wrinkles in the input data. The window solar radiation penetration rate is obtained as the product of the window η0 value and the correction coefficient. For the window orientation coefficient, the values corresponding to the window orientation and the building area classification are determined from Table 1 above. From the above, in the embodiment,
The amount of solar intrusion from the window = window surface area × window solar intrusion rate × window orientation coefficient.

4) Calculate the partial μ value before renovation.
The partial μ value is obtained by the following equation (14).

2. Calculation of partial μ value after renovation:
1) Find the amount of solar intrusion from the roof after renovation.
Equation 15 below shows a method of calculating the approximate ceiling U value after refurbishment. Except for the method of calculating the approximate ceiling U value, it is the same as the case of obtaining the amount of solar intrusion from the roof before renovation.

2) Obtain the amount of solar radiation from the wall after renovation.
Equation 16 below shows a method for calculating the approximate wall U value after refurbishment. Except for the method of calculating the approximate wall U value, the method is the same as that for obtaining the amount of solar intrusion from the wall before renovation.

3) Find the amount of solar intrusion through the refurbished window.
FIG. 12 shows the η0 value of the window after refurbishment. The air-conditioning cost estimation unit 136 uses the table of FIG. 12 based on the combination of the type of window before renovation (existing window specification), the type of window after renovation (window specification after renovation), and the type of solar shading. To specify the η0 value of the window. In FIG. 12, the η0 value of the window is indicated by symbols A1 to L5, but actually, a specific numerical value may be stored. Except for the method of calculating the η0 value of the window, this is the same as the case of obtaining the amount of solar intrusion from the window before renovation.
4) Calculate the partial μ value after refurbishment.
The partial μ value is obtained by the above equation 14.

Subsequently, the heating / cooling cost estimation unit 136 calculates the heating / cooling cost and the CO2 emission amount using the partial μ value, and calculates the reduction amount before and after the renovation.
3. Calculation of heating and cooling costs before renovation:
When the average daily temperature is 15 ° C. or lower, the heating load is calculated, and when it exceeds 15 ° C., the cooling load is calculated.

The meanings of the parameters of Equation 17 and Equation 18 are shown in the following table. For the thermal insulation performance “Q”, the thermal insulation performance before the repair estimated by the thermal insulation power estimation unit 134 is used, and for the partial μ value “μ”, the partial μ value before the repair is used. In Table 4, the intermittent operation time is indicated by symbols h1 to h4, but actual numerical values may be stored.

The heating / cooling cost estimation unit 136 calculates the monthly heating load and cooling load by multiplying the daily heating load and cooling load by the number of days per month. Then, monthly heating costs and cooling costs are calculated (Equation 19 and Equation 20). The heating / cooling cost estimation unit 136 calculates the sum of the monthly heating costs and the sum of the monthly cooling costs as the annual cooling / heating costs (Formula 21).

  The COP value and unit price are acquired as input data, and the heat conversion value is determined according to the fuel type. Specifically, 1 (kWh) is set for electricity, 12.79 (kWh / m3) for gas, and 10.28 (kWh / L) for kerosene. The heat conversion value for cooling is always 1 (kWh).

4). Calculation of CO2 emissions before renovation:
The monthly CO2 emission amount is calculated by calculating the amount of fuel used from the heating load and cooling load and multiplying it by a predetermined CO2 emission coefficient (Equation 22 and Equation 23). The annual CO2 emissions are calculated by summing the monthly CO2 emissions for the year (Formula 24).

5). Calculation of heating and cooling costs after renovation:
In the calculation of the heating load and cooling load for one day, the heat retention performance after the renovation estimated by the heat retention power estimation unit 134 is used as the heat retention performance “Q”, and the partial μ value after the renovation is represented as the partial μ value “μ”. Use. Other than that, it is the same as the method of calculating the heating and cooling costs before renovation.

6). Calculation of CO2 emissions after renovation:
This is the same as the method for calculating CO2 emissions before renovation. However, since the heating load and the cooling load are different from those before the renovation, the CO2 emission amount is also a different value. Typically, after the renovation, the value of the heat insulation performance is smaller than that before the renovation, and the partial μ value is also small, so that the heating load and the cooling load are small. As a result, CO2 emissions are also reduced.

7). Calculation of air conditioning costs and CO2 emission reductions:
The annual cooling / heating cost reduction amount is calculated by the following equation 25, and the annual CO2 emission reduction amount is calculated by the following equation 26.

  The diagnosis result creation unit 138 creates a remodeling diagnosis result reflecting the results of simulation processing performed by the sensible temperature estimation unit 130, the near-floor temperature estimation unit 132, the thermal insulation power estimation unit 134, and the heating / cooling cost estimation unit 136. Specifically, the reform diagnosis results are as follows: (1) sensory temperature diagnosis result, (2) foot warmth diagnosis result, (3) dew condensation diagnosis result of window, (4) room thermal insulation diagnosis result, (5) Six types of document data of the air conditioning cost diagnosis result and (6) comprehensive diagnosis result are created.

  The diagnosis result creation unit 138 stores the created renovation diagnosis result data in the data holding unit 110. The diagnosis result providing unit 126 acquires the data of the reform diagnosis result from the data holding unit 110 and transmits it to the supplier terminal 102 in response to the request for providing the diagnosis result from the supplier terminal 102. Hereinafter, the reform diagnosis result will be described in detail.

  FIG. 13 shows the temperature sensory diagnosis result. The diagnosis result creation unit 138 acquires the simple MRT before renovation calculated by the sensible temperature estimation unit 130 as the average value of the surrounding surface temperature in the room before renovation. Moreover, the simple MRT after remodeling which the sensation temperature estimation part 130 calculated as the average value of the surrounding surface temperature in the room after remodeling is acquired. The diagnosis result creation unit 138 sets the ambient surface temperature comparison information 10 indicating the simple MRT before the renovation and the simple MRT after the remodeling in the diagnosis result data. Thereby, the change of the surface temperature of the component of the room before and after renovation can be easily presented to the customer.

  The diagnosis result creation unit 138 also sets the sensory temperature comparison information 12 that compares the sensory temperature before remodeling estimated by the sensory temperature estimation unit 130 with the sensory temperature after remodeling. Here, the data holding unit 110 holds the correspondence between the temperature difference before and after the renovation and the clothing that causes the difference, and the diagnosis result creation unit 138 has the sensory experience before and after the remodeling calculated by the temperature estimation unit 130. Information on clothing corresponding to the temperature difference is added to the temperature-sensitive comparison information 12. Thereby, it can be presented to the customer in a manner that makes it easier to grasp the improvement state of the sensible temperature.

  Further, the diagnostic result creation unit 138 refers to the evaluation criteria held by the evaluation criteria holding unit 114, and sets the evaluation score corresponding to the difference between the room temperature and the sensory temperature before remodeling as the pre-reform score 14 in the diagnosis result data. To do. In addition, an evaluation score corresponding to the difference between the room temperature and the sensory temperature after the renovation is set as the post-reform evaluation score 16. For example, if the difference between the room temperature and the sensory temperature is equal to or less than the reference value corresponding to the evaluation score “5”, that is, equal to or less than the reference value corresponding to the grade 4 of the house performance display system, the evaluation score “5” is set. On the other hand, if the difference between the room temperature and the sensory temperature is not less than the reference value corresponding to the evaluation score “1”, that is, not less than the reference value equivalent to class 1 of the house performance display system, the evaluation score “1” is set. The diagnosis result creation unit 138 sets a higher evaluation score as the difference between the room temperature and the sensory temperature is smaller, and sets a lower evaluation score as the difference is larger.

  FIG. 14 shows the results of foot warmth diagnosis. The diagnosis result creation unit 138 sets the floor surface temperature comparison information 20 indicating the floor surface temperature before remodeling actually measured and the floor surface temperature after remodeling estimated by the sensible temperature estimation unit 130 as diagnosis result data. To do. Also, the vertical temperature difference comparison information 22 is shown by comparing the measured vertical temperature difference based on the room temperature before reforming and the temperature near the floor, and the floor temperature and the vertical temperature difference after reform estimated by the floor temperature estimation unit 132. Set.

  Further, the diagnosis result creation unit 138 refers to the evaluation criteria held by the evaluation criteria holding unit 114, and sets the evaluation score corresponding to the upper and lower temperature difference before the reform as the evaluation score 24 before the reform in the diagnosis result data. In addition, an evaluation point corresponding to the temperature difference between the upper and lower sides after the reform is set as the post-reform evaluation point 26. Specifically, a higher evaluation score is set as the vertical temperature difference is smaller, and a lower evaluation score is set as the vertical temperature difference is larger.

  FIG. 15 shows the result of the window condensation diagnosis. The diagnosis result creation unit 138 compares the window surface temperature comparison information 30 indicating the measured window surface temperature before remodeling with the window surface temperature after remodeling estimated by the sensory temperature estimation unit 130 as diagnosis result data. Set. When the surface temperatures of a plurality of windows are measured, the average value may be set, and when the plurality of windows are repaired, the average value of the surface temperatures after reforming of each window may be set. Although not shown in FIG. 15, the diagnosis result creation unit 138 may add an image (for example, an object such as a line) indicating the dew point temperature to the graph of the window surface temperature comparison information 30. As a result, the effect of suppressing the occurrence of dew condensation due to reform can be presented to the customer in a manner that is easier to grasp.

  Further, the diagnosis result creation unit 138 refers to the evaluation criteria held by the evaluation criteria holding unit 114, and sets an evaluation score corresponding to the difference between the window surface temperature before renovation and the dew point temperature as diagnostic evaluation data 32 before remodeling in the diagnosis result data. To do. Further, an evaluation point corresponding to the difference between the window surface temperature after renovation and the dew point temperature is set as an evaluation point 34 after renovation. Specifically, a higher evaluation point is set as the difference between the window surface temperature and the dew point temperature is larger, and a lower evaluation point is set as the difference is smaller.

  FIG. 16 shows a room thermal insulation diagnosis result. The diagnosis result creation unit 138 includes a change in the outside air temperature until a predetermined time elapses after the cooling / heating device is stopped, a room temperature change before the renovation estimated by the heat insulation power estimation unit 134, and the heat insulation power estimation unit 134. The room temperature transition comparison information 40 showing the estimated room temperature transition after remodeling is set in the diagnosis result data.

  In addition, the diagnosis result creation unit 138 includes the actually measured room temperature in the night (first room temperature) before renovation, the amount of temperature decrease based on the actually measured room temperature in the morning (second room temperature) before renovation, and the first room. The temperature decrease comparison information 42 showing the temperature and the amount of temperature decrease based on the morning room temperature estimated by the heat retention estimation unit 134 is set in the diagnosis result data. Here, the data holding unit 110 holds the correspondence between the difference in temperature drop before and after the renovation and the clothing that causes the difference, and the diagnosis result creation unit 138 stores the difference in the temperature drop before and after the renovation. The information is added to the temperature decrease comparison information 42. Thereby, it can be presented to the customer in a manner that makes it easier to grasp the improvement status of the temperature drop.

  Further, the diagnosis result creating unit 138 refers to the evaluation criteria held by the evaluation criteria holding unit 114, and sets the evaluation score corresponding to the temperature decrease before renovation as the pre-reform assessment score 44 in the diagnosis result data. In addition, an evaluation score corresponding to the width of the temperature drop after the reform is set as the post-reform evaluation score 46. Specifically, a higher evaluation score is set as the temperature drop width is smaller, and a lower evaluation score is set as the width is larger.

  FIG. 17 shows the result of air conditioning cost diagnosis. The diagnosis result creation unit 138 sets the air conditioning equipment information 50 input on the input screen in the diagnosis result data as a precondition for calculating the heating and cooling costs. Moreover, the heating / cooling cost comparison information 52 that compares the annual heating costs before and after the renovation estimated by the cooling / heating cost estimation unit 136 and the CO2 emissions before and after the renovation estimated by the cooling / heating cost estimation unit 136 are also illustrated and compared. The environmental effect comparison information 54 is set in the diagnosis result data.

  Further, the diagnosis result creation unit 138 refers to the evaluation criteria held by the evaluation criteria holding unit 114, and sets the evaluation score corresponding to the annual cooling / heating cost before renovation as the evaluation score 56 before renovation in the diagnosis result data. In addition, an evaluation score corresponding to the annual cooling / heating cost after renovation is set as an evaluation score 58 after renovation. Specifically, a higher evaluation score is set as the annual cooling / heating load per unit floor area is smaller, and a lower evaluation score is set as the annual cooling / heating load per unit floor area is larger. As the room is larger and the unit price of the fuel used is higher, the heating / cooling cost becomes higher. Therefore, in the embodiment, the cooling / heating load per unit area is used as a reference for comparison so that an effective comparison can be made. The annual cooling / heating load per unit floor area may be a value obtained by dividing the monthly cooling load estimated by the heating / cooling cost estimation unit 136 and the annual heating / cooling load obtained by adding the monthly heating load by the floor area, The heating / cooling cost estimation unit 136 may calculate, or the diagnosis result creation unit 138 may calculate.

  FIG. 18 shows a comprehensive diagnosis result. The comprehensive diagnosis result is a document that collectively shows individual evaluations relating to the temperature of the body, the warmth of the feet, the condensation of the windows, the heat retention capacity of the room, and the heating and cooling costs. The diagnosis result creation unit 138 sets property information 60, which is information on buildings and rooms to be reformed, and reform information 62 indicating the contents of reform for each of the components of the room in the diagnosis result data.

  The diagnostic result creation unit 138 also sets a radar chart 64 that shows the evaluation points in the evaluation items of the sensory temperature, the warmth of the feet, the dew condensation of the windows, the thermal insulation power of the room, and the heating and cooling costs before and after the renovation. Thereby, the comfort of the room before and after the renovation and the improvement status of the economy can be presented to the customer in an intuitive and easy-to-understand manner. In addition, a pre-reform evaluation score 66 obtained by summing up the evaluation scores for each evaluation item before renovation and a post-reform evaluation score 68 obtained by summing up the evaluation scores obtained for each evaluation item after renovation are set. As a result, even if the difference between individual evaluation items is small, it is easy to indicate that the difference is large when viewed as a whole evaluation item, and the effect of room reform can be easily emphasized.

The operation of the reform diagnosis system 100 having the above configuration will be described below.
The remodeling contractor visits the customer's house, collects information necessary for diagnosis by actually measuring and confirming the environmental information of the room to be remodeled. The merchant terminal 102 accesses the diagnosis server 104 via the communication network 106 by HTTP communication, and displays the input screen page of the reform diagnosis service on the display. The contractor terminal 102 transmits the diagnosis necessary information input on the input screen page by the remodeling contractor to the diagnosis server 104.

  The input information acquisition unit 124 of the diagnosis server 104 receives the diagnosis necessary information transmitted from the supplier terminal 102. The diagnosis processing unit 128 of the diagnosis server 104 diagnoses the current comfort and economy and the comfort and economy after the renovation for the room to be reformed based on the diagnosis necessary information. Specifically, the current state is quantitatively calculated for the five evaluation items of sensory temperature, warmth of the feet, window condensation, room heat retention, and heating and cooling costs, and the state after renovation is quantified by simulation. Estimate automatically. The diagnosis result providing unit 126 of the diagnosis server 104 is document data created by the diagnosis processing unit 128, and provides diagnosis result data that compares comfort and economy before and after the renovation to the supplier terminal 102. The remodeling contractor proposes room remodeling to the customer while showing the diagnosis result data.

  According to the diagnostic server 104 of the present embodiment, for a reform for a room in a house, the temperature of the room alone when the reform is performed is estimated, and the quantitative value is given to the customer as an effect of the reform. Can present. As a result, it is possible to support the renovation business and promote the sale of renovation building materials. For example, by presenting the improvement status by comparing the sensory temperature before and after renovation, it shows the customer the reason why it is difficult to feel warm despite the high set temperature in the room before renovation, and renovation solves that problem Can be shown to the customer to do.

  Moreover, according to the diagnostic server 104, while estimating the state (surface temperature etc.) after a correction | amendment about the element used as a repair object among the components (one or more walls, windows, etc.) of a room, The state of the room after renovation is estimated while maintaining the state before renovation. Thus, the accuracy of estimation can be improved by reflecting the range of reform in the estimation process.

  Further, according to the diagnostic server 104, based on two actually measured values of the room temperature during heating and the room temperature after the heating is stopped, the thermal insulation of the room alone that matches the actually measured value is estimated by repeating the thermal network calculation. Thereby, the heat insulation performance of the room can be accurately estimated from a small number of actually measured values. In addition, by calculating the heat insulation performance and heat insulation performance of the room alone, it is possible to estimate the temperature transition and the heating / cooling cost after the heating stop before and after the room reform.

  In the temperature estimation process of the embodiment, information indicating the current installation state of the heat insulating material in the room to be reformed is not necessary. Even if there is a document such as a design document indicating the installation status of the insulation, the installation status indicated by the document does not necessarily match the actual installation status. It is also possible to do. In the temperature estimation process according to the embodiment, instead of depending on a document such as a design document, a decrease in estimation accuracy is suppressed by using an actually measured temperature value.

  The present invention has been described based on the embodiments. This embodiment is an exemplification, and it will be understood by those skilled in the art that various modifications are possible depending on the combination of each component and each processing process, and such modifications are within the scope of the present invention. is there.

  Any combination of the above-described embodiments and modifications is also useful as an embodiment of the present invention. The new embodiment generated by the combination has the effects of the combined embodiment and the modified examples. In addition, it should be understood by those skilled in the art that the functions to be fulfilled by the constituent elements described in the claims are realized by the individual constituent elements shown in the embodiments and the modified examples or by their linkage. . For example, “thermal insulation performance” described in the claims is a concept including one or a combination of “thermal conductivity”, “thermal conductivity resistance”, and “thermal insulation performance” described in the embodiments.

  DESCRIPTION OF SYMBOLS 100 Reform diagnosis system, 102 Contractor terminal, 104 Diagnosis server, 112 Parameter holding part, 114 Evaluation criteria holding part, 122 Input screen provision part, 124 Input information acquisition part, 126 Diagnosis result provision part, 128 Diagnosis processing part, 130 An estimation unit, 132 a near-floor temperature estimation unit, 134 a thermal insulation power estimation unit, 136 an air conditioning cost estimation unit, and 138 a diagnosis result creation unit.

Claims (6)

One room in a building for installation can be building materials in a single position, and the index value holding portion for holding an index value indicating the insulation performance,
An acquisition unit for acquiring temperature information measured at the front of the room for installing the building material,
Wherein the measured temperature, based on the index value of the building materials, and the estimating unit that estimates a temperature of the room single case of installing the previous SL building materials to the room,
Equipped with a,
The acquisition unit acquires information on a first temperature during heating, measured in a room before the building material is installed, and a second temperature after a predetermined time has elapsed since the heating was stopped,
The estimation unit includes
Based on the first temperature and the second temperature, the current insulation performance of the room is estimated,
Correcting the current heat insulation performance based on the index value of the building material, and when the building material is installed based on the heat insulation performance after the correction, the temperature of the room after the predetermined time has elapsed since heating was stopped the information processing apparatus according to claim that you estimate. Wherein the acquisition unit acquires the information of the measured surface temperature for the elements forming the pre-Symbol part shop,
The estimation unit is configured and measured surface temperature, on the basis of the index value of the building materials, by estimating the surface temperature of the elements of the case of installing the building materials, front Stories portion in the case of installing the building materials The information processing apparatus according to claim 1, wherein a sensory temperature at a shop is estimated. Wherein the acquisition unit acquires the information of the measured surface temperature for a plurality of elements forming the pre-Symbol part shop,
The estimation unit uses the estimated value of the surface temperature when the building material is installed for the element to which the building material is to be installed among the plurality of elements, while the non-target element for installing the building material is the above using the measured surface temperature information processing apparatus according to claim 2, characterized in that estimating the sensible temperature of the previous SL unit shop in the case of installing the building materials to some elements. The estimating unit, the building materials assuming adiabatic performance of previous the room to be installed, and on the basis of the assumed value, to estimate the temperature of the pre-Symbol part shop after the predetermined time period elapses from the stop of the heating, If the difference between the second temperature and the estimated value is less than a predetermined value, according to any one of claims 1 to 3, characterized by determining the assumed value as the current thermal insulation performance of the front Stories portion ya Information processing device. Further comprising a measured value of the temperature of the pre-Symbol part shop acquired by the acquisition unit, the information providing unit for providing the user information obtained by comparing the predicted value of the temperature of the pre-Symbol part shop estimated by the estimation unit the information processing apparatus according to claim 1, wherein 4 of the. Acquiring temperature information measured at the front of the room to install can be installed building materials one room in a building in a single position,
Estimating the index value indicating the predetermined heat insulating performance of the building material, based on the measured temperature, the room single temperature when placed in front SL building materials to the room,
The computer runs ,
The obtaining step includes a step of obtaining information on a first temperature during heating measured in a room before the building material is installed, and a second temperature after a predetermined time has elapsed since the heating was stopped,
The estimating step includes:
Estimating a current insulation performance of the room based on the first temperature and the second temperature;
Correcting the current heat insulation performance based on the index value of the building material, and when the building material is installed based on the heat insulation performance after the correction, the temperature of the room after the predetermined time has elapsed since heating was stopped Estimating the room temperature. The room temperature estimation method comprising:

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