JP5550704B2 - Pipe network analysis data generation method, pipe network analysis data generation device, and program - Google Patents

Description

The present invention relates to a data generation method for pipe network analysis, a data generation apparatus for pipe network analysis , and a program, and more specifically, data such as node points in pipe line analysis for calculating water pressure, flow rate, etc. in water pipes and the like. The present invention relates to a pipe network analysis data generation method , a pipe network analysis data generation apparatus , and a program which are generated by optimization.

  Water pipe analysis (hydraulic analysis) generally uses data modeled as a collection of pipes connecting node points, and uses the inner diameter of pipe, pipe length, usage at node points, etc. as input conditions. This is known as an analysis for calculating the water head value (water pressure) for each point and the flow rate for each pipeline. This analysis result is required for proper water operation.

  Pipe network data in water supply facilities management is currently in a very complicated shape due to repeated splitting and joining of pipes due to repeated laying, water shutoff work, construction related to large-scale housing development, etc. is there. Therefore, in normal water supply facility management, accurate pipe network data that is realistic is created by investigating unknown locations in the field based on the completed construction drawings.

  However, in pipe network analysis, there are problems such as processing speed due to computer processing capacity and a significant increase in processing time due to an increase in the number of nodes, and analysis is performed using actual facility management data. Was difficult.

  Although automatic generation of data for analysis from pipe network data prepared by water facility management has been attempted so far, it requires thinning processing, extraction processing of main equipment, etc., and actual facility management It was forced to become a pipe network model that was considerably deformed from the data. For this reason, manpower is required for the final inspection of the pipe network data and the inspection / verification of the networking, which is troublesome and expensive, and there is a problem in its accuracy. In addition, every time facility management data is updated, conversion to a pipe network model is necessary, and there is a problem in terms of time, such as when it is urgent.

  As a method for automatically generating such pipe network analysis data, for example, Patent Document 1 is disclosed in which the creation of gas pipe network analysis pipe network data is taken as an example.

JP 2002-372200 A

  However, when the pipe network analysis data is automatically generated using all the facility management data that matches the reality as in Patent Document 1, it takes an enormous amount of time to analyze the pipe network data having tens of thousands of node points. There is a problem that it is not possible to cope with the analysis in an emergency such as fire or water stoppage.

The present invention aims at providing a tube network analysis data generation method which can shorten the inter solution analysis time, the tube network analysis data generation device, and a program.

  A first aspect of the present invention for solving the above problems is a data generation method for pipe network analysis in a pipe network analysis data generating apparatus for generating pipe network analysis data used for pipe network analysis of a water supply facility. Acquiring the pipe network data including graphic information and attribute information of a predetermined area, and making the pipe network data into multi-dimensional network data having a hierarchical structure based on predetermined conditions, and selected from all areas as an analysis target. The entire area in the upper hierarchy of the selected hierarchy n, the selected area of the selected hierarchy n, and the lower hierarchy of the selected hierarchy n Generating a network analysis data by extracting network data of each of the selected areas of the hierarchy, and storing the network network analysis data in a storage unit; ,about And features.

  A second aspect of the present invention for solving the above-mentioned problem is a pipe network analysis data generation device that generates pipe network analysis data used for pipe network analysis of a water supply facility. An acquisition means for acquiring pipe network data including attribute information; and the pipe network data as hierarchical multi-dimensional network data based on a predetermined condition, and an area selected as an analysis target and a depth of the hierarchy from all areas. Based on the indicated n, the whole area of the upper hierarchy of the selected hierarchy n, the selected area of the selected hierarchy n, and the selected area of the lower hierarchy of the selected hierarchy n, Each of the network data is extracted to generate pipe network analysis data, and storage means for storing the pipe network analysis data in a storage unit.
  A third aspect of the present invention for solving the above-described problem is a program that causes a computer to function as a pipe network analysis data generation device that generates pipe network analysis data used for pipe network analysis of a water supply facility, An acquisition means for acquiring pipe network data including graphic information and attribute information of a predetermined area, and an area selected as an analysis target from all areas, wherein the pipe network data is made into multi-dimensional network data having a hierarchical structure based on predetermined conditions. And n indicating the depth of the hierarchy, the entire area of the upper hierarchy of the selected hierarchy n, the selected area of the selected hierarchy n, and the lower hierarchy of the selected hierarchy n Generating means for generating the pipe network analysis data by extracting the network data of each of the selected areas, and storage means for storing the pipe network analysis data in a storage unit Causing a computer to function, characterized in that.

According to the pipe network analysis data generation method , the pipe network analysis data generation apparatus , and the program of the present invention , for example, a desired amount of data can be realized without thinning out or deleting the pipe itself in the pipe network analysis calculation. It is possible to analyze the location to be performed with high accuracy and to shorten the processing time.

It is a processing flowchart of the data generation method for pipe network analysis by one Embodiment of this invention. It is a processing flow figure at the normal time of pipe network analysis using the data generation method for pipe network analysis shown in FIG. It is a processing flow figure at the time of the fire of the pipe network analysis shown in FIG. It is a processing flow figure at the time of the water stop construction of the pipe network analysis shown in FIG. It is drawing for demonstrating the multidimensional network in the pipe network analysis data generation method of this invention. It is a list of the valve stopper by one Example selected in the pipe network analysis data generation method. It is drawing for demonstrating the fallen pipe or fallen change point shown in FIG. It is explanatory drawing which calculates the water supply amount in a node point by Voronoi division. It is an internal block diagram of the pipe network analysis apparatus containing the data generation apparatus for pipe network analysis by one Embodiment of this invention.

  Next, a specific example of an embodiment for carrying out the pipe network analysis data generation method and the pipe network analysis data generation apparatus of the present invention will be described in detail with reference to the drawings.

  FIG. 1 is a process flow diagram of a pipe network analysis data generation method according to an embodiment of the present invention.

  Since the pipe network data needs to form a complete network, the water facility management data including all nodes (valve plugs) is acquired from the water facility management system (step S11).

  Pipe network data includes graphic data consisting of points (nodes, water treatment plants, etc.) and lines (pipes, etc.), and attribute information such as water supply, ground height, pipe diameter, pipe type, and so on. There is a GIS (Geographic Information System) for water service, water supply facilities, history management based on this, and there is a GIS for supporting hydraulic simulation for water operation.

  The water supply facility management system that manages water pipes, valve plug facilities, water distribution plants (water purification plants), and the pipe network analysis system for water supply operations handle the same facility data, but they are independent of each other due to differences in calculation processing, etc. Therefore, the altitude data in the graphic data, for example, 2500DM at a scale of 1/2500 is acquired from the other GIS (step S12).

  A TIN (triangulated irregular network) is created from the acquired elevation data (step S13), and the elevation is assigned to the pipe network data (step S14). TIN is a representation of the physical shape of the terrain surface in which three-dimensional information points and lines are arranged as a collection of triangles that do not overlap, and points can be placed at free positions. It has the advantage that the number of points can be reduced compared to a DEM (digital elevation model) arranged, and is suitable for expressing a three-dimensional landform such as a slope.

  On the other hand, when generating data for pipe network analysis to be used for pipe network analysis, analysis contents such as normal, fire, and water shutoff are selected in advance according to the application (S21), and a multi-dimensional network (multi-dimensional network) is also selected. ), That is, “n” of the n-th order network is selected, and the area to be analyzed in detail is designated (step S22). The areas are automatically classified according to a predetermined condition, and are displayed on a map or an area list (not shown) and selected from the areas, for example.

  By selecting the analysis contents and the area of the nth-order network, the distribution network nodes are automatically searched from all the nodes of the pipe network data to which the altitude is given according to the analysis contents, and the data for pipe network analysis is extracted. (Step S23).

  Water supply data is allocated to each node (valve plug) based on the amount of water used. At that time, the node points of the pipe network analysis data are used, and the Voronoi division in the calculation geometry is performed from the target node points. To divide the pipe network into predetermined areas (step S24), acquire the total amount of water usage from the meter meter charge data existing in the area, and assign it as the amount of water supply at the node points in the Voronoi-divided area (Step S25).

  Here, Voronoi division for calculating the water supply amount at the node point will be described with reference to FIG.

  The Voronoi division is a method of dividing an area according to which point is the closest to an arbitrary point. The Voronoi division divides a pipe network in facility management data into respective areas. Each region divided by the Voronoi boundary 102 is called a Voronoi region 103, and one Voronoi region 103 includes one node point 101. The amount of water used at the water faucets in each Voronoi region 103 is summed and given to each node point 101 to calculate the amount of water supplied at each node point 101.

  Based on the pipe network analysis data obtained in this way, pipe network analysis such as flow velocity calculation using the Hazen Williams formula or the like is performed (step S26), and the analysis result according to the application is obtained. An output is obtained (step S27).

  It is ideal that pipe network data for pipe network analysis calculation is used as it is, but the analysis time greatly depends on the number of nodes. For example, in the case of 5000 nodes, the Hazen Williams formula Is necessary to create a 5000 × 5000 matrix, and it is necessary to repeat the cultivated precision real number calculation of 25 million times several tens of times, which increases by a quadratic expression of the number of node points. End up.

  Therefore, conventionally, knowing how to reduce the amount of data for analysis such as thinning out nodes (valve plugs), that is, extracting the main equipment from the above two GISs has become a know-how. Although it has been a problem that cost and time are required to extract from actual map data, the present invention has a problem that analysis time can be shortened and accurate simulation can be performed as shown in FIG. Data for network analysis can be automatically extracted and automatically generated.

  Next, a pipe network analysis process corresponding to the analysis content will be described with reference to FIGS.

  FIG. 2 is a normal processing flow diagram of pipe network analysis using the pipe network analysis data generation method shown in FIG. 1, and FIG. 3 is a processing flow diagram of fire in the pipe network analysis shown in FIG. is there. FIG. 4 is a processing flow diagram at the time of water breakage in the pipe network analysis shown in FIG.

  Referring to FIG. 2, first, an analysis content at normal time is selected from an analysis content selection menu (not shown) (step S21). Next, a desired area to be analyzed is selected, and “n” of the n-order network to be analyzed, that is, an area to be analyzed in detail, is selected from the n-order network selection menu (not shown). When the n-order network of the area to be analyzed in detail is designated, the upper n−1-order network,..., The primary network is automatically selected. “N”, the primary network, the secondary network,..., The n-order network pipe network are appropriately selected according to the analysis content, but may be arbitrarily selected and designated.

  When the analysis content and the n-th order network are selected, pipe network analysis data is automatically extracted from the pipe network data acquired in steps S11 to S14 shown in FIG. As described above with reference to FIG. 1, Voronoi is divided using the node points of the pipe network analysis data (step S24), the water usage is acquired from the charge data of the faucet, and the area divided by Voronoi division This faucet is assigned to each node point, and a water supply amount (water usage amount) is assigned (step S25).

  In the pipe network analysis (step S26), the data for pipe network analysis of the n-order network composed of points (nodes) and lines (tubes) is delivered, and according to the setting file in which the setting items are described according to the contents of the pipe network analysis. Various analyzes and simulations are performed (step S26a). The configuration file determines the desired analysis item from various analysis items such as flow rate, flow velocity, flow direction, residual head value, hydraulic gradient, etc. at each node of the water supply facility. The analysis is performed by an analysis method according to each analysis item.

  A desired analysis result obtained for each node and pipe is output (step S27).

  Referring to FIG. 3, first, an analysis content at the time of fire is selected from an analysis content selection menu (not shown) (step S21). Next, as in the normal case shown in FIG. 2, the region to be analyzed is selected, and the primary network, secondary network,... N-order network pipes are selected and selected from the n-order network selection menu (not shown). specify.

  When an analysis content and an n-order network in a desired area are selected, pipe network analysis data is automatically extracted from the pipe network data acquired in steps S11 to S14 shown in FIG. As in FIG. 2, Voronoi division is performed using the node points of the pipe network analysis data (step S24), water usage is obtained from the charge data of the faucet, and each node point of the area divided by Voronoi division is obtained. This faucet is assigned and a water supply amount (water usage amount) is given (step S25).

  In the analysis at the time of fire, a fire hydrant near the fire site necessary for fire extinguishing is instructed (step S31). A water discharge amount is automatically given to the selected fire hydrant according to the attribute of the fire hydrant (step S32). A plurality of fire hydrants can be selected.

  Subsequent pipe network analysis processing (step S26) and analysis result output (step S27) are the same as those in FIG.

  Referring to FIG. 4, first, an analysis content at the time of water-stopping construction is selected from an analysis content selection menu (not shown) (step S21). Next, as in the normal time shown in FIG. 2 and the fire shown in FIG. 3, the area to be analyzed is selected, and the primary network, secondary network,... N-th order are selected from the n-order network selection menu (not shown). Select and specify each of the network pipes.

  When an analysis content and an n-order network in a desired area are selected, pipe network analysis data is automatically extracted from the pipe network data acquired in steps S11 to S14 shown in FIG. Similar to FIGS. 2 and 3, Voronoi is divided using the node points of the pipe network analysis data (step S 24), water usage is obtained from the charge data of the faucet, and each region divided by Voronoi division is obtained. This water tap is assigned to the node point, and a water supply amount (water usage amount) is given (step S25).

  In the analysis at the time of the water shutoff work, the gate valve to close the area to be the target of the water cut work is instructed (step S31). As the gate valve closes, the pipeline that does not reach the water distribution station is automatically removed (step S32). A plurality of gate valves can be selected.

  Subsequent pipe network analysis processing (step S26) and analysis result output (step S27) are the same as those in FIGS.

  The pipe network analysis data generation method according to the present invention is realized by merging the above two GISs. As shown in FIGS. 2 to 4, the water pressure and flow rate of the water supply facility constructed by the water supply facility management system. It is possible to automatically connect to a pipe network analysis system for analyzing and calculating the flow velocity, the water head value at each node point, the flow distribution, and the like.

  For example, pipes such as water pipes are searched from purification facilities etc. starting from the map data for water facilities management, and are grouped by the branch points and junctions of the pipes. Only the group with many of the above is extracted as map data for pipe network analysis, and attribute information such as water supply population, ground height, resistance coefficient, etc. is automatically set for each node and pipe of this map data. Obtain data for analysis.

  Here, the multidimensional network in the pipe network analysis data generation method of the present invention will be described with reference to FIG. FIG. 5 (a) shows all the pipe networks, and FIG. 5 (b) shows n-1, n, and n + 1 order networks divided into layers according to the diameters of the pipes.

  As shown in Fig. 5, the water network is considered as a multi-dimensional network (multi-dimensional network). For example, the water network listed on the water management authorization map is the primary network, and authorization is made from the detailed water network. A water network having a water pipe having a diameter of 100 mm or more not shown in the figure is a secondary network, and a water network having a water pipe having a diameter of less than 100 mm is a tertiary network. In this way, the orders are set for all the water pipes actually laid.

  Based on this idea, when analyzing and calculating a detailed n-order network pipe in a multi-dimensional network, the water is used as a water distribution field at the node point where the n-order network and the n-1 order network meet. Define the inflow. By repeating this process in the upper direction, the node points can be extremely reduced.

  As shown in FIG. 5C, by limiting the range (selection area 10) to be analyzed in detail, the pipe network analysis data becomes (n-1 primary network of the entire area) + (n of the selected area only). Next network) + (n + 1 primary network in the selection area 10). At this time, only the n + 1-order network area in the selected area 10 is the target of analysis data, and the other n + 1-order network areas are not the target of analysis data. Therefore, the analysis can be performed in detail and with a relatively small number of nodes.

  In this way, the number of nodes can be greatly reduced and the processing time can be shortened as compared with the case where the entire n-order network is used as analysis data. Of course, the n-order network of the selected area has all the information, but it does not reduce the flow rate of the higher-order n−1-order network, and there is consistency between each dimension network. Therefore, the same result as that obtained when all pipe networks are analyzed can be obtained.

  FIG. 6 is a list of valve plugs according to an embodiment selected in the pipe network analysis data generation method.

  The types of valve plugs that serve as each node include those shown in Fig. 6. Depending on the type of valve plugs and the analysis contents during normal operation, fire, and water shutoff, these valve plugs It is automatically extracted from the inside according to each analysis content, and the valve plugs indicated by “◯” are noded and incorporated into the pipe network analysis data. Valve plugs indicated by “-” are not noded and ignored.

  Next, the falling tube or the falling change point shown in FIG. 6 will be described with reference to FIG.

  In the list shown in FIG. 6, the valve stopper indicated by “Δ” is called a fallen pipe or a falloff change point, and indicates a part or a portion where the diameter of the pipe is changed. Nodeization differs depending on the length of the connecting pipe. For example, when the length threshold is 10 m, FIG. 7A shows that the pipe 1 extension is 15 m, the pipe 2 extension is 20 m, and both of the pipes to be connected are equal to or greater than the threshold. The falling change point is made into a node, and the extension of the pipe 1 and the pipe 2 is 15 m and 20 m and is not changed.

  In FIG. 7B, the extension of the pipe 1 is 0.5 m, the extension of the pipe 2 is 20 m, and one of the pipes to be connected is less than the threshold value. Set to 5m.

  Finally, a pipe network analysis data generation apparatus that generates the above-described pipe network analysis data will be described.

  FIG. 9 is an internal configuration diagram of a pipe network analysis apparatus including a pipe network analysis data generation apparatus according to an embodiment of the present invention.

  As shown in FIG. 9, the pipe network analysis apparatus 1 of this embodiment is configured to include a pipe network analysis data generation apparatus.

  The pipe network analysis apparatus 1 includes an input means 13 for performing initial settings required for pipe network analysis data generation and pipe network analysis, and a display means 14 for displaying data and analysis results on a display device according to an operation. Data and analysis results for that purpose are stored in the memory of the storage means 12, a hard disk, etc., and the processing is transferred to the central control unit 11 via the input means 13 according to the user operation. The program recorded in the storage unit 12 is executed, thereby causing each unit to function in cooperation with other hardware devices.

  The communication means 15 transmits and receives information via a communication network such as the Internet, acquires pipe network data and GIS data (elevation data), and uses the generated pipe network analysis data and other analysis devices such as remote locations. And for sharing with a database (not shown).

  The external input / output means 16 outputs an analysis result to an externally connected printer via an input / output interface such as a USB (Universal Serial Bus), pipe network data, GIS data, pipe network analysis data, pipe It can be used when exchanging a program for generating data for network analysis or pipe network analysis, an analysis result, and the like with an external device (not shown).

  Such a pipe network analyzing apparatus 1 can be configured using a workstation or a commercially available PC (personal computer), a CPU (central processing unit) constituting the workstation or PC, a storage device such as a memory or a hard disk, an image, and the like. A description of a display device for displaying text and text, an input device such as a keyboard and a mouse, an input / output interface with an external device, and transmission / reception of data to / from a communication line, and a configuration diagram thereof are omitted.

  The pipe network data acquisition means 21 is connected to a water supply facility management system that has jurisdiction over a desired area through the communication means 15, and has water supply management data (pipe network data) having graphic information and attribute information including all nodes in the predetermined area. Data). Water supply facility management data is provided as GIS data for water supply operations, water supply facilities, history management, graphic data formed by points and lines consisting of nodes (valve stoppers, water distribution stations, etc.) and water pipes, and water supply amount Attribute information such as ground height, pipe diameter, pipe type, and the like.

  The altitude information acquisition means 22 acquires the altitude data from another GIS provided for water supply operation different from the water supply facility management, and can reduce the number of data by arranging points at free positions. TIN (irregular triangle network) is generated as original terrain information.

  The altitude information providing unit 23 assigns the TIN generated by the altitude information acquiring unit 22 in association with the pipe network data acquired by the pipe network data acquiring unit 21.

  As shown in FIG. 6, the valve plug selecting means 24 is selected as an initial set value from a plurality of types of valve plugs included in the pipe network data acquired by the pipe network data acquiring means 21. Necessary valve plugs are extracted and selected according to the analysis contents at the time of time and water shutoff, etc., and noded.

  The pipe network analysis data generation means 25 is the pipe network data including all nodes acquired, generated and assigned by the pipe data acquisition means 21, the elevation information acquisition means 22, and the elevation information addition means 23. Based on the multi-dimensional data of the hierarchical structure, etc., the area of the designated area for performing detailed analysis selected as an initial setting value from this multi-dimensional network is an n-order network, for example, a tertiary network, which corresponds to the upper network The data of the primary to secondary network areas including the primary and secondary networks is automatically extracted.

  The pipe network area dividing unit 26 divides the pipe network in the area including the n-order network extracted by the pipe network analysis data generating unit 25 into an area including one node point by Voronoi division, and divides the pipe network into divided areas. Assign included hydrants to this node.

  The water supply amount giving means 27 calculates the water supply amount of the water tap based on the water consumption obtained from the charge data of the water tap, and gives this water supply amount to each node point divided by the pipe network area dividing means 26. .

  The pipe network analysis data generation means 25 further includes a fire hydrant in the event of a fire selected as an initial set value based on the node data to which the water supply amount is assigned and assigned by the pipe network area dividing means 26 and the water supply amount giving means 27. When the is specified, the water discharge is automatically given to the fire hydrant, and when the gate valve that is closed during the water shutoff work is specified, the pipeline that does not reach the water distribution station is removed.

  The pipe network analysis data storage unit 28 stores the pipe network data acquired, generated, and assigned by the pipe network data acquisition unit 21, the altitude information acquisition unit 22, and the altitude information addition unit 23 in the storage unit 12 or an external database. (Not shown) and a hierarchical structure including an n-order network in an area of a designated area where the detailed analysis automatically extracted from the pipe network data including all nodes is performed by the pipe network analysis data generation means 25. The dimension data is stored in the storage means 12 or an external database.

  The pipe network analysis data storage means 28 further stores pipe network analysis data to which the water supply amount is assigned to each node point by the pipe network region dividing means 26 and the water supply amount giving means 27, and is provided for pipe network analysis. The data generation means 25 stores the data for pipe network analysis in which the amount of water discharged is automatically given in the event of a fire and the pipelines that do not reach the water distribution station are removed during the water cut-off work, together with information that can specify the analysis content.

  The above is the function of each means provided in the pipe network analysis data generation apparatus. The pipe network analysis data generated by the pipe network analysis data generation device can be used as it is as a pipe network analysis system, and the pipe network can be controlled by a corresponding program under the processing management of the central control unit 11 of the pipe network analysis device 1. It can be automatically connected to the analysis means 20.

  The pipe network analysis means 20 reads the data for pipe network analysis of the n-th order network generated by the pipe network analysis data generation device and generated according to the analysis contents from the storage means 12 or an external database (not shown). Select a desired analysis item from various analysis items such as flow rate, flow velocity, flow direction, residual head value, hydraulic gradient, etc. at each node of the water supply facility, and use various analysis methods according to each analysis item. Analyze and simulate, and output analysis results for each node and pipe.

  The pipe network analysis data generation apparatus according to the present invention generates pipe network analysis data for an n-order network based on data acquired from two GISs, and the water pressure, flow rate, and flow velocity of a water supply facility constructed by a water supply facility management system. It is possible to construct a pipe network analysis system by automatically connecting the generated data automatically in the pipe network analysis apparatus 1 that performs analysis and calculation of the head value, flow rate distribution, etc. at each node point and without manual intervention.

  The present invention has been described above with reference to the embodiments with reference to the drawings. However, the present invention is not limited to the above-described embodiments, and various modifications can be made without departing from the technical scope of the present invention. Is possible.

DESCRIPTION OF SYMBOLS 1 Pipe network analyzer 10 Selection area 11 Central control part 12 Memory | storage means 13 Input means 14 Display means 15 Communication means 16 External input / output means 20 Pipe network analysis means 21 Pipe network data acquisition means 22 Elevation information acquisition means 23 Elevation information provision means 24 Valve plug selection means 25 Pipe network analysis data generation means 26 Pipe network area dividing means 27 Water supply amount giving means 28 Pipe network analysis data storage means 101 Node point 102 Voronoi boundary 103 Voronoi area

Claims (3)

  A data generation method for pipe network analysis in a data generation apparatus for pipe network analysis that generates data for pipe network analysis used for pipe network analysis of water supply facilities,
  An acquisition stage for acquiring pipe network data including graphic information and attribute information of a predetermined area;
  The pipe network data is converted into multi-dimensional network data having a hierarchical structure based on a predetermined condition, and an upper layer of the selected layer n is selected based on n indicating the area selected as an analysis target and the depth of the layer from all areas. By extracting network data of each of the entire area, the selected area of the selected hierarchy n, and the selected area of the lower hierarchy of the selected hierarchy n. A generation stage for generating data for analysis;
  Storing the pipe network analysis data in a storage unit,
  A data generation method for pipe network analysis.   A pipe network analysis data generation device for generating pipe network analysis data used for pipe network analysis of a water supply facility,
  Acquisition means for acquiring pipe network data including graphic information and attribute information of a predetermined area;
  The pipe network data is converted into multi-dimensional network data having a hierarchical structure based on a predetermined condition, and an upper layer of the selected layer n is selected based on n indicating the area selected as an analysis target and the depth of the layer from all areas. By extracting network data of each of the entire area, the selected area of the selected hierarchy n, and the selected area of the lower hierarchy of the selected hierarchy n. Generating means for generating analysis data;
  Storage means for storing the pipe network analysis data in a storage unit,
  A data generation device for pipe network analysis.   A program that causes a computer to function as a data generation device for pipe network analysis that generates data for pipe network analysis used for pipe network analysis of a water supply facility,
  Acquisition means for acquiring pipe network data including graphic information and attribute information of a predetermined area;
  The pipe network data is converted into multi-dimensional network data having a hierarchical structure based on a predetermined condition, and an upper layer of the selected layer n is selected based on n indicating the area selected as an analysis target and the depth of the layer from all areas. By extracting network data of each of the entire area, the selected area of the selected hierarchy n, and the selected area of the lower hierarchy of the selected hierarchy n. Generating means for generating analysis data;
  Causing a computer to function as storage means for storing the pipe network analysis data in a storage unit;
  A program characterized by that.

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