Device for creating pipeline network data with water leakage accident history, method for creating pipeline network data with water leakage accident history, and program

Abstract

A device (1) for creating pipeline network data with water leakage accident history is provided with a provisional candidate pipeline selection unit (24), a candidate pipeline selection unit (25), and a water leaking pipeline identification unit (26). The provisional candidate pipeline selection unit (24) selects a plurality of provisional candidate pipelines within a prescribed distance from a water leakage accident occurrence point (47). The candidate pipeline selection unit (25) selects, from among the plurality of provisional candidate pipelines, a plurality of candidate pipelines having first attribute data (33) closest to second attribute data (37) of a water leaking pipeline. The water leaking pipeline identification unit (26) identifies the candidate pipeline among the plurality of candidate pipelines that is closest to the water leakage accident occurrence point (47) as the water leaking pipeline.

Description

Pipeline network data creation device with water leakage accident history, method and program for creating pipeline network data with water leakage accident history

[0001] The present disclosure relates to a pipeline network data creation device with water leakage accident history, a pipeline network data creation method with water leakage accident history, and a program.

[0002] JP 2021-519466 A (Patent Document 1) discloses a method for improving piping data relating to a network of underground piping.

[0003] Special Publication No. 2021-519466

[0004] Water leakage accident data provided by customers such as water utilities often lacks a pipeline ID, which is an identifier for the pipeline where the leakage accident occurred, and the address of the pipeline where the leakage accident occurred is often insufficient. As a result, it is impossible to identify the leaking pipeline in the pipeline network where the leakage accident occurred. Even if a water leakage accident prediction model, a pipeline maintenance plan, and a pipeline renewal plan are created based on such water leakage accident data, it is impossible to create a highly accurate water leakage accident prediction model, a pipeline maintenance plan, and a pipeline renewal plan. The objective of the present disclosure is to provide a device for creating pipeline network data with water leakage accident history, a method for creating pipeline network data with water leakage accident history, and a program for creating such data that can identify leaking pipelines more accurately and quickly.

[0005] The pipeline network data creation device with water leakage accident history disclosed herein includes a pipeline network map creation unit, a tentative candidate pipeline selection unit, a candidate pipeline selection unit, and a leaking pipeline identification unit. The pipeline network map creation unit creates a pipeline network map by mapping the plurality of pipelines and the water leakage accident points corresponding to the addresses of the water leakage accidents based on the positions of the plurality of pipelines and the addresses of the water leakage accidents. The pipeline network data includes pipeline IDs, first attribute data, and positions of the plurality of pipelines. The positions of the plurality of pipelines include the latitudes and longitudes of the plurality of pipelines. The water leakage accident data includes second attribute data of the leaking pipeline, which is the pipeline where the water leakage accident occurred, and the address of the water leakage accident. The water leakage accident data does not include the pipeline ID of the leaking pipeline, or the latitude and longitude of the leaking pipeline. The tentative candidate pipeline selection unit selects, from the plurality of pipelines, a plurality of tentative candidate pipelines that are within a predetermined distance from the water leakage accident point in the pipeline network map. The candidate pipeline selection unit selects, from the plurality of tentative candidate pipelines, a plurality of candidate pipelines having first attribute data that is closest to the second attribute data of the leaking pipeline. The leaking pipeline identification unit identifies, from the plurality of candidate pipelines, the candidate pipeline that is closest to the point where the water leakage accident occurred, as the leaking pipeline.

[0006] The disclosed method for creating pipeline network data with water leakage accident history includes a step of creating a pipeline network map by mapping multiple pipelines and water leakage accident occurrence points corresponding to the addresses of the water leakage accidents based on the locations of the multiple pipelines and the addresses of the water leakage accidents. The pipeline network data includes pipeline IDs, first attribute data, and locations of the multiple pipelines. The locations of the multiple pipelines include latitudes and longitudes of the multiple pipelines. The water leakage accident data includes second attribute data of the leaking pipeline, which is the pipeline where the water leakage accident occurred, and the address of the water leakage accident. The water leakage accident data does not include the pipeline ID of the leaking pipeline or the latitude and longitude of the leaking pipeline. The disclosed method for creating pipeline network data with a water leakage accident history includes the steps of selecting, from a plurality of pipelines, a plurality of provisional candidate pipelines that are within a predetermined distance from the point where the water leakage accident occurred on a pipeline network map; selecting, from the plurality of provisional candidate pipelines, a plurality of candidate pipelines that have first attribute data that is closest to the second attribute data of the leaking pipeline; and identifying, from the plurality of candidate pipelines, the candidate pipeline that is closest to the point where the water leakage accident occurred as the leaking pipeline.

[0007] The program disclosed herein causes a processor to execute each step of the method for creating pipeline network data with water leakage incident history disclosed herein.

[0008] According to the pipeline network data with water leakage accident history creation device, pipeline network data with water leakage accident history creation method, and program disclosed herein, leaking pipelines can be identified more accurately and more quickly.

[0009] 1 is a schematic diagram showing the hardware configuration of a pipeline network data with water leakage accident history creation device according to an embodiment; FIG. 2 is a block diagram explaining the functional configuration of a pipeline network data with water leakage accident history creation device according to an embodiment; FIG. 3 is a diagram showing an example of the data structure of pipeline network data; FIG. 4 is a diagram showing an example of the data structure of water leakage accident data; FIG. 5 is a diagram showing an example of the data structure of map data; FIG. 6 is a diagram showing an example of a pipeline network map; FIG. 7 is a diagram showing the selection of a plurality of tentative candidate pipelines from pipelines included in a pipeline network map; FIG. 8 is a diagram showing the selection of a plurality of candidate pipelines from a plurality of tentative candidate pipelines; FIG. 9 is a diagram showing the identification of a leaking pipeline from a plurality of candidate pipelines; FIG. 10 is a diagram showing a pipeline network data table with water leakage accident history, which is an example of pipeline network data with water leakage accident history; FIG. 11 is a diagram showing a pipeline network map with water leakage accident history, which is an example of pipeline network data with water leakage accident history; FIG. 12 is a diagram showing a flowchart of a pipeline network data with water leakage accident history creation method; FIG. 13 is a diagram showing the schematic configuration of a pipeline network data with water leakage accident history creation system according to a modified embodiment;

[0010] Hereinafter, embodiments of the present disclosure will be described. Note that the same reference numerals are used to designate the same components, and the description thereof will not be repeated.

[0011] The pipeline network data with water leakage accident history creation device 1 will be described with reference to Figures 1 and 2. <Hardware Configuration> The hardware configuration of the pipeline network data with water leakage accident history creation device 1 will be described with reference to Figure 1. The pipeline network data with water leakage accident history creation device 1 includes an input device 11, a processor 12, a memory 13, a display 14, a network controller 16, a recording medium drive 17, and a storage 19.

[0012] The input device 11 receives various input operations and is, for example, a keyboard, a mouse, or a touch panel.

[0013] The display 14 displays information necessary for processing in the pipeline network data with water leakage accident history creation device 1, such as pipeline network data 31 (see FIG. 3), water leakage accident data 36 (see FIG. 4), and map data 40 (see FIG. 5), as well as pipeline network data with water leakage accident history 50 (see FIGS. 10 and 11). The display 14 is, for example, an LCD (Liquid Crystal Display) or an organic EL (Electroluminescence) display.

[0014] The processor 12 executes a program described below to perform processing necessary to realize the functions of the pipeline network data with water leakage accident history creation device 1. The processor 12 is configured with, for example, a CPU (Central Processing Unit) or a GPU (Graphics Processing Unit).

[0015] The memory 13 provides a storage area for temporarily storing program code, work memory, etc. when the processor 12 executes a program. The memory 13 is, for example, a volatile memory device such as a dynamic random access memory (DRAM) or a static random access memory (SRAM).

[0016] The network controller 16 transmits and receives programs or data to and from an external device (not shown) via a communication network (not shown) such as the Internet or an intranet. For example, the network controller 16 transmits pipeline network data 50 with water leakage incident history (see FIGS. 10 and 11 ) to an external device via the communication network. The network controller 16 may also receive pipeline network data 31 (see FIG. 3 ) and water leakage incident data 36 (see FIG. 4 ) from a customer, such as a water utility, via the communication network. The network controller 16 supports any communication method, such as Ethernet (registered trademark), wireless LAN, or Bluetooth (registered trademark).

[0017] The recording medium drive 17 is a device that reads programs or data stored on the recording medium 18. The recording medium drive 17 may also be a device that writes programs or data to the recording medium 18. The recording medium 18 is a non-transitory recording medium that stores the programs or data in a non-volatile manner. The recording medium 18 may be, for example, an optical recording medium such as an optical disk (e.g., a CD-ROM or a DVD-ROM), a semiconductor recording medium such as a flash memory or a USB memory, a magnetic recording medium such as a floppy disk (FD) or a storage tape, or a magneto-optical recording medium such as an MO (Magneto-Optical) disk. The pipeline network data 31 (see FIG. 3) and the water leakage incident data 36 (see FIG. 4) may be provided by a customer, such as a water utility, using the recording medium 18. The pipeline network data 50 with water leakage incident history (see FIGS. 10 and 11) may be stored on the recording medium 18.

[0018] The storage 19 is a non-volatile memory device such as a hard disk or an SSD (Solid State Drive). The storage 19 stores pipeline network data 31 (see FIG. 3), water leakage incident data 36 (see FIG. 4), map data 40 (see FIG. 5), pipeline network data with water leakage incident history 50 (see FIGS. 10 and 11), and a program 55. The program 55 is executed by the processor 12 to realize the functions of the pipeline network data with water leakage incident history creation device 1. The program 55 may be stored and distributed on a non-transitory recording medium 18 and installed in the storage 19. The program 55 may be downloaded to the pipeline network data with water leakage incident history creation device 1 via the Internet or an intranet.

[0019] In this embodiment, an example is shown in which a general-purpose computer (processor 12) executes a program 55 to realize the functions of the pipeline network data with water leakage accident history creation device 1. All or part of the functions of the pipeline network data with water leakage accident history creation device 1 may be realized using an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array).

[0020] <Functional Configuration> An example of the functional configuration of the pipeline network data with water leakage accident history creation device 1 will be described with reference to Fig. 2. The pipeline network data with water leakage accident history creation device 1 includes a pipeline network data reception unit 21, a water leakage accident data reception unit 22, a pipeline network map creation unit 23, a tentative candidate pipeline selection unit 24, a candidate pipeline selection unit 25, a water leakage pipeline identification unit 26, a pipeline network data with water leakage accident history creation unit 27, and a storage unit 30.

[0021] The pipeline network data receiving unit 21 receives pipeline network data 31 from a customer such as a water utility. The pipeline network data receiving unit 21 outputs the pipeline network data 31 to the storage unit 30. The pipeline network data 31 is stored in the storage unit 30.

[0022] Referring to FIG. 3 , the pipeline network data 31 is, for example, a pipeline network data table 32. The pipeline network data 31 includes pipeline IDs, first attribute data 33, and locations 34 of multiple pipelines that make up the pipeline network. The pipeline ID is an identifier for each pipeline. The first attribute data 33 is attribute data for each pipeline, including, for example, the diameter, pipe material, and installation year of each pipeline. The diameter is the diameter of the pipes that make up the pipeline. The pipe material is the material of the pipes that make up the pipeline and is sometimes called the pipe type. Examples of pipe materials include ductile cast iron pipe (DIP), ordinary cast iron pipe (CIP), polyvinyl chloride pipe (VP), and steel water pipe (SP). The installation year is the year the pipeline was installed, such as the year the pipeline was buried underground. The first attribute data 33 of the pipeline may further include the pipeline length, which is the length of the pipeline. The pipeline location 34 includes the latitude and longitude of the pipeline.

[0023] The water leakage accident data receiving unit 22 receives water leakage accident data 36 from a customer such as a water utility. The water leakage accident data receiving unit 22 outputs the water leakage accident data 36 to the storage unit 30. The water leakage accident data 36 is stored in the storage unit 30.

[0024] Referring to FIG. 4, the water leakage accident data 36 includes an accident ID, a pipeline ID of the leaking pipeline where the water leakage accident occurred, second attribute data 37, and the address of the water leakage accident. The accident ID is an identifier for each water leakage accident. The pipeline ID of the water leakage accident data 36 is the pipeline ID of the leaking pipeline among the pipeline IDs in the pipeline network data 31 shown in FIG. 3. The second attribute data 37 includes, for example, the diameter, pipe material, and installation year of the leaking pipeline. The second attribute data 37 may further include the year of water leakage accident occurrence, which is the year in which the water leakage accident occurred. The address of the water leakage accident is the address of the location where the water leakage accident occurred.

[0025] The pipeline network map creation unit 23 creates a pipeline network map 45 (see FIG. 6 ) by mapping the pipelines and water leakage accident occurrence points 47 corresponding to the addresses of the water leakage accidents based on the positions 34 of the pipelines (see FIG. 3 ) and the addresses of the water leakage accidents (see FIG. 4 ). Specifically, the pipeline network map creation unit 23 reads the pipeline network data 31, the water leakage accident data 36, ​​and the map data 40 from the storage unit 30. Referring to FIG. 5 , the map data 40 includes addresses, latitudes, and longitudes. The map data 40 is provided by a public institution or the like via the Internet or the recording medium 18, such as a geographic information system (GIS), and is stored in the storage unit 30. The pipeline network map creation unit 23 maps the pipeline network composed of the multiple pipelines on a map by referring to the latitudes and longitudes of the pipeline network data 31 and the latitudes and longitudes of the map data 40. The pipeline network map creation unit 23 maps the water leakage accident occurrence point 47 on a map by referring to the address in the water leakage accident data 36 and the address in the map data 40. In this way, the pipeline network map creation unit 23 creates a pipeline network map 45.

[0026] As shown in FIG. 4 , the water leakage incident data 36 provided by a customer may lack a pipeline ID, which is an identifier for the leaking pipeline, and the address of the leaking pipeline may not be sufficiently identified. For example, the water leakage incident data 36 provided by a customer may not include the pipeline ID of the leaking pipeline and the latitude and longitude of the leaking pipeline. The water leakage incident data 36 provided by a customer may not specify the address of the leaking incident down to the street address. Furthermore, in areas with low population density, addresses may not be set in sufficient detail to identify the pipeline. Therefore, even if the water leakage incident data 36 provided by a customer is directly reflected in the pipeline network data 31, as shown in FIG. 6 , the water leakage incident occurrence point 47 may be shifted from the pipeline, making it impossible to identify the leaking pipeline.

[0027] For example, when the water leakage accident data 36 does not include the pipeline ID of the leaking pipeline and the address of the water leakage accident is specified only up to the letter T, as in the case of accident ID 1 shown in Figure 4, the pipeline network map creation unit 23 designates the center position of the area of ​​the letter T as the water leakage accident occurrence point 47. The water leakage accident occurrence point 47 is offset from the pipeline, making it impossible to identify the leaking pipeline. Therefore, even if the water leakage accident data 36 provided by the customer lacks the pipeline ID, which is an identifier of the leaking pipeline, and the address of the leaking pipeline is not sufficiently specified, as will be described below, the pipeline network data creation device 1 with water leakage accident history can identify the leaking pipeline with higher accuracy by using the tentative candidate pipeline selection unit 24, the candidate pipeline selection unit 25, and the leaking pipeline identification unit 26.

[0028] There is a high probability that the leaking pipeline is located near the water leakage accident occurrence point 47. Therefore, as shown in Figure 7, the tentative candidate pipeline selection unit 24 selects, from the plurality of pipelines included in the pipeline network data 31, a plurality of tentative candidate pipelines that are located within a predetermined distance d from the water leakage accident occurrence point 47 in the pipeline network map 45. The predetermined distance d is, for example, any distance between 50 m and 200 m. In Figure 7, for example, four tentative candidate pipelines (pipeline ID 2, pipe ID 4, pipe ID 5, and pipe ID 7) are selected.

[0029] The leaking pipeline is highly likely to have first attribute data 33 that is closest to the second attribute data 37 of the leaking pipeline among the multiple tentative candidate pipelines. Therefore, as shown in Figure 8, the candidate pipeline selection unit 25 selects, from the multiple tentative candidate pipelines, multiple candidate pipelines that have first attribute data 33 that are closest to the second attribute data 37 of the leaking pipeline. For example, the candidate pipeline selection unit 25 compares the first attribute data 33 of the multiple tentative candidate pipelines with the second attribute data 37 of the leaking pipeline, and selects, from the multiple tentative candidate pipelines, those whose diameter, pipe material, and installation year match the diameter, pipe material, and installation year of the leaking pipeline as multiple candidate pipelines. In Figure 8, for example, two candidate pipelines (pipeline ID 2 and pipe line ID 5) are selected.

[0030] There is a high probability that the leaking pipeline is located near the water leakage accident occurrence point 47. Therefore, as shown in Fig. 9, the leaking pipeline identification unit 26 identifies, as the leaking pipeline, the candidate pipeline that is closest to the water leakage accident occurrence point 47 among a plurality of candidate pipelines. In Fig. 9, for example, pipeline ID 2 is identified as the leaking pipeline.

[0031] The pipeline network data with water leakage accident history creation unit 27 creates pipeline network data with water leakage accident history 50 by adding a water leakage accident history indicating that an identified candidate pipeline among the plurality of pipelines is a leaking pipeline to the pipeline network data 31. The pipeline network data with water leakage accident history 50 may be a pipeline network data table with water leakage accident history 51 (see FIG. 10 ) or a pipeline network map with water leakage accident history 52 (see FIG. 11 ). The pipeline network data table with water leakage accident history 51 and the pipeline network map with water leakage accident history 52 each include the pipeline IDs, first attribute data 33, locations 34, and water leakage accident histories of the plurality of pipelines.

[0032] The pipeline network data with water leakage accident history creating unit 27 creates a pipeline network data table 51 with water leakage accident history (see FIG. 10 ) by adding the water leakage accident history to the pipeline network data table 32 (see FIG. 3 ). For example, the pipeline network data with water leakage accident history creating unit 27 adds the water leakage accident history to the pipeline network data table 32 by inputting “1” in the water leakage accident history column of a pipeline identified as a leaking pipeline by the leaking pipeline identifying unit 26 and inputting “0” in the water leakage accident history column of a pipeline not identified as a leaking pipeline.

[0033] The pipeline network data with water leakage accident history creating unit 27 creates a pipeline network map with water leakage accident history 52 (see FIG. 11 ) from the map data (see FIG. 5 ) and the pipeline network data table with water leakage accident history 51 (see FIG. 10 ). For example, the pipeline network data with water leakage accident history creating unit 27 references the latitude and longitude in the pipeline network data table with water leakage accident history 51 and the latitude and longitude in the map data 40 to map a pipeline network consisting of multiple pipelines. The pipeline network data with water leakage accident history creating unit 27 adds a water leakage pipeline marker 48 to the pipeline network map, indicating that a pipeline for which "1" has been entered in the water leakage accident history column of the pipeline network data table with water leakage accident history 51 is a water leakage pipeline. The water leakage pipeline marker 48 is an example of a water leakage accident history. The water leakage pipeline marker 48 is, for example, represented by a thick line in FIG. 11 .

[0034] The pipeline network data with water leakage accident history creating unit 27 outputs the pipeline network data with water leakage accident history 50 to the storage unit 30. The pipeline network data with water leakage accident history 50 is stored in the storage unit 30. The pipeline network data with water leakage accident history creating unit 27 may output the pipeline network data with water leakage accident history 50 to the display 14 (see FIG. 1 ) to display the pipeline network data with water leakage accident history 50 on the display 14. The pipeline network data with water leakage accident history 50 may be provided to the customer via the Internet or the recording medium 18.

[0035] The memory unit 30 is realized by the storage 19 (see FIG. 1 ) or the recording medium 18 (see FIG. 1 ). The memory unit 30 stores, for example, pipeline network data 31, water leakage accident data 36, ​​map data 40, pipeline network data with water leakage accident history 50, and a program 55.

[0036] <Method for Creating Pipeline Network Data with Water Leakage Accident History> A method for creating pipeline network data with water leakage accident history according to this embodiment will be described with reference to FIG.

[0037] Pipeline network data 31 and water leakage incident data 36 are received from a customer such as a water utility (step S1). Specifically, the pipeline network data receiving unit 21 receives the pipeline network data 31 from the customer. The water leakage incident data receiving unit 22 receives the water leakage incident data 36 from the customer. The pipeline network data 31 and the water leakage incident data 36 are provided by the customer via the Internet or the recording medium 18. The pipeline network data receiving unit 21 outputs the pipeline network data 31 to the storage unit 30. The pipeline network data 31 is stored in the storage unit 30. The water leakage incident data receiving unit 22 outputs the water leakage incident data 36 to the storage unit 30. The water leakage incident data 36 is stored in the storage unit 30.

[0038] Referring to FIG. 3 , the pipeline network data 31 is, for example, a pipeline network data table 32. The pipeline network data 31 includes pipeline IDs, first attribute data 33, and locations 34 of multiple pipelines that make up the pipeline network. The pipeline ID is an identifier for each pipeline. The first attribute data 33 is attribute data for each pipeline, including, for example, the diameter, pipe material, and installation year of each pipeline. The diameter is the diameter of the pipes that make up the pipeline. The pipe material is the material of the pipes that make up the pipeline and is sometimes called the pipe type. Examples of pipe materials include ductile cast iron pipe (DIP), ordinary cast iron pipe (CIP), polyvinyl chloride pipe (VP), and steel water pipe (SP). The installation year is the year the pipeline was installed, such as the year the pipeline was buried underground. The first attribute data 33 of the pipeline may further include the pipeline length, which is the length of the pipeline. The pipeline location 34 includes the latitude and longitude of the pipeline.

[0039] Referring to FIG. 4, the water leakage accident data 36 includes an accident ID of the leaking pipeline where the water leakage accident occurred, a pipeline ID, second attribute data 37, and the address of the water leakage accident. The accident ID is an identifier for each water leakage accident. The pipeline ID of the water leakage accident data 36 is the pipeline ID of the leaking pipeline among the pipeline IDs in the pipeline network data 31 shown in FIG. 3. The second attribute data 37 includes, for example, the diameter, pipe material, and installation year of the leaking pipeline. The second attribute data 37 may further include the year of the water leakage accident, which is the year in which the water leakage accident occurred. The address of the water leakage accident is the address of the location where the water leakage accident occurred.

[0040] 6 and 12, based on the positions 34 of the plurality of pipelines (see FIG. 3) and the addresses of the water leakage accidents (see FIG. 4), the plurality of pipelines and the water leakage accident occurrence points 47 corresponding to the addresses of the water leakage accidents are mapped to create a pipeline network map 45 (see FIG. 6) (step S2). Specifically, the pipeline network map creation unit 23 reads the pipeline network data 31 (see FIG. 3), the water leakage accident data 36 (see FIG. 4), and the map data 40 (see FIG. 5) from the storage unit 30. The pipeline network map creation unit 23 maps the pipeline network consisting of the plurality of pipelines on the map by referring to the latitude and longitude of the pipeline network data 31 and the latitude and longitude of the map data 40. The pipeline network map creation unit 23 maps the water leakage accident occurrence points 47 on the map by referring to the addresses in the water leakage accident data 36 and the addresses in the map data 40. In this way, the pipeline network map creation unit 23 creates the pipeline network map 45.

[0041] As shown in FIG. 4 , the water leakage incident data 36 provided by a customer may lack a pipeline ID, which is an identifier for the leaking pipeline, and the address of the leaking pipeline may not be sufficiently identified. For example, the water leakage incident data 36 provided by a customer may not include the pipeline ID of the leaking pipeline and the latitude and longitude of the leaking pipeline. The water leakage incident data 36 provided by a customer may not specify the address of the leaking incident down to the street address. Furthermore, in areas with low population density, addresses may not be set in sufficient detail to identify the pipeline. Therefore, even if the water leakage incident data 36 provided by a customer is directly reflected in the pipeline network data 31, as shown in FIG. 6 , the water leakage incident occurrence point 47 may be shifted from the pipeline, making it impossible to identify the leaking pipeline.

[0042] For example, when the water leakage accident data 36 does not include the pipeline ID of the leaking pipeline, and the address of the water leakage accident is specified only up to the letter D, as in the case of accident ID 1 shown in Figure 4, the pipeline network map creation unit 23 designates the center position of the area of ​​the letter D as the water leakage accident occurrence point 47. The water leakage accident occurrence point 47 is offset from the pipeline, and the leaking pipeline cannot be identified. Therefore, even if the water leakage accident data 36 provided by the customer lacks the pipeline ID, which is an identifier of the leaking pipeline, and the address of the leaking pipeline is not sufficiently specified, the leaking pipeline can be identified with higher accuracy by the following steps S3 to S5.

[0043] 7 and 12, the tentative candidate pipeline selection unit 24 selects, from the plurality of pipelines included in the pipeline network data 31, a plurality of tentative candidate pipelines that are within a predetermined distance d from the water leakage accident occurrence point 47 in the pipeline network map 45 (step S3). The predetermined distance d is, for example, any distance between 50 m and 200 m. In FIG. 7, for example, four tentative candidate pipelines (pipeline ID 2, pipe ID 4, pipe ID 5, and pipe ID 7) are selected.

[0044] The leaking pipeline is highly likely to have first attribute data 33 that is closest to the second attribute data 37 of the leaking pipeline among the plurality of tentative candidate pipelines. Therefore, with reference to FIGS. 8 and 12 , the candidate pipeline selection unit 25 selects, from the plurality of tentative candidate pipelines, a plurality of candidate pipelines that have first attribute data 33 that are closest to the second attribute data 37 of the leaking pipeline (step S4). For example, the candidate pipeline selection unit 25 compares the first attribute data 33 of the plurality of tentative candidate pipelines with the second attribute data 37 of the leaking pipeline, and selects, from the plurality of tentative candidate pipelines, those whose diameter, pipe material, and installation year match those of the leaking pipeline as a plurality of candidate pipelines. In FIG. 8 , for example, two candidate pipelines (pipeline ID 2 and pipeline ID 5) are selected.

[0045] The leaking pipeline is highly likely to be located near the water leakage accident occurrence point 47. Therefore, with reference to Figures 9 and 12, the leaking pipeline identification unit 26 identifies, as the leaking pipeline, the candidate pipeline that is closest to the water leakage accident occurrence point 47 among the multiple candidate pipelines (step S5). In Figure 9, for example, pipeline ID 2 is identified as the leaking pipeline.

[0046] 10 to 12 , the pipeline network data with water leakage accident history creation unit 27 creates pipeline network data with water leakage accident history 50 by adding a water leakage accident history indicating that the identified candidate pipeline among the plurality of pipelines is a leaking pipeline to the pipeline network data 31 (step S6). The pipeline network data with water leakage accident history 50 may be a pipeline network data table with water leakage accident history 51 (see FIG. 10 ) or a pipeline network map with water leakage accident history 52 (see FIG. 11 ). The pipeline network data table with water leakage accident history 51 and the pipeline network map with water leakage accident history 52 each include the pipeline IDs, first attribute data 33, locations 34, and water leakage accident histories of the plurality of pipelines.

[0047] The pipeline network data with water leakage accident history creating unit 27 creates a pipeline network data table 51 with water leakage accident history (see FIG. 10 ) by adding the water leakage accident history to the pipeline network data table 32 (see FIG. 3 ). For example, the pipeline network data with water leakage accident history creating unit 27 adds the water leakage accident history to the pipeline network data table 32 by inputting “1” in the water leakage accident history column of a pipeline identified as a leaking pipeline by the leaking pipeline identifying unit 26 and inputting “0” in the water leakage accident history column of a pipeline not identified as a leaking pipeline.

[0048] The pipeline network data with water leakage accident history creating unit 27 creates a pipeline network map with water leakage accident history 52 (see FIG. 11 ) from the map data (see FIG. 5 ) and the pipeline network data table with water leakage accident history 51 (see FIG. 10 ). For example, the pipeline network data with water leakage accident history creating unit 27 references the latitude and longitude in the pipeline network data table with water leakage accident history 51 and the latitude and longitude in the map data 40 to map a pipeline network consisting of multiple pipelines. The pipeline network data with water leakage accident history creating unit 27 adds a water leakage pipeline marker 48 to the pipeline network map, indicating that a pipeline for which "1" has been entered in the water leakage accident history column of the pipeline network data table with water leakage accident history 51 is a water leakage pipeline. The water leakage pipeline marker 48 is an example of a water leakage accident history. The water leakage pipeline marker 48 is, for example, represented by a thick line in FIG. 11 .

[0049] The pipeline network data with water leakage accident history creating unit 27 outputs the pipeline network data with water leakage accident history 50 to the storage unit 30. The pipeline network data with water leakage accident history 50 is stored in the storage unit 30. The pipeline network data with water leakage accident history creating unit 27 may output the pipeline network data with water leakage accident history 50 to the display 14 (see FIG. 1 ) to display the pipeline network data with water leakage accident history 50 on the display 14. The pipeline network data with water leakage accident history 50 may be provided to the customer via the Internet or the recording medium 18.

[0050] The program 55 (see FIG. 2) causes the processor 12 (see FIG. 1) to execute each step of the pipeline network data with water leakage accident history creation method of this embodiment. The pipeline network data reception unit 21, the water leakage accident data reception unit 22, the pipeline network map creation unit 23, the tentative candidate pipeline selection unit 24, the candidate pipeline selection unit 25, the water leakage pipeline identification unit 26, and the pipeline network data with water leakage accident history creation unit 27 shown in FIG. 2 are realized by the processor 12 executing the program 55.

[0051] The program 55 may be recorded on the computer-readable recording medium 18 (non-transitory computer-readable recording medium) of this embodiment.

[0052] 13 , in a modification of the present embodiment, the functions of the pipeline network data with water leakage accident history creation device 1 may be realized by a pipeline network data with water leakage accident history creation system 2. The pipeline network data with water leakage accident history creation system 2 includes a pipeline network data with water leakage accident history creation device 1b, a pipeline network data reception device 3, a water leakage accident data reception device 4, and a storage device 5. The pipeline network data with water leakage accident history creation device 1b, the pipeline network data reception device 3, the water leakage accident data reception device 4, and the storage device 5 are communicably connected to each other via a communication network 6 such as the Internet or an intranet. The hardware configurations of the pipeline network data with water leakage accident history creation device 1b, the pipeline network data reception device 3, and the water leakage accident data reception device 4 are the same as the hardware configuration shown in FIG. 1 . The storage device 5 includes, for example, a hard disk or a recording medium drive 17.

[0053] The pipeline network data with water leakage accident history creation device 1b has the functions of a pipeline network map creation unit 23 (see FIG. 2), a tentative candidate pipeline selection unit 24 (see FIG. 2), a candidate pipeline selection unit 25 (see FIG. 2), a water leakage pipeline identification unit 26 (see FIG. 2), and a pipeline network data with water leakage accident history creation unit 27 (see FIG. 2). The pipeline network data reception device 3 has the function of a pipeline network data reception unit 21 (see FIG. 2). The water leakage accident data reception device 4 has the function of a water leakage accident data reception unit 22 (see FIG. 2). The storage device 5 has the function of a storage unit 20 (see FIG. 2).

[0054] The effects of the pipeline network data with water leakage accident history creating device 1, 1b, the pipeline network data with water leakage accident history creating method, and the program 55 of this embodiment will be described.

[0055] The pipeline network data creation device 1, 1b with water leakage accident history of this embodiment includes a pipeline network map creation unit 23, a tentative candidate pipeline selection unit 24, a candidate pipeline selection unit 25, and a leaking pipeline identification unit 26. The pipeline network map creation unit 23 creates a pipeline network map 45 by mapping multiple pipelines and water leakage accident occurrence points 47 corresponding to the addresses of the water leakage accidents based on the locations 34 of the multiple pipelines and the addresses of the water leakage accidents. The pipeline network data 31 includes pipeline IDs, first attribute data 33, and locations 34 of the multiple pipelines. The locations 34 of the multiple pipelines include the latitude and longitude of the multiple pipelines. The water leakage accident data 36 includes second attribute data 37 of the leaking pipeline, which is the pipeline where the water leakage accident occurred, and the address of the water leakage accident. The water leakage accident data 36 does not include the pipeline ID of the leaking pipeline or the latitude and longitude of the leaking pipeline. The tentative candidate pipeline selection unit 24 selects, from the plurality of pipelines, a plurality of tentative candidate pipelines that are within a predetermined distance d from the water leakage accident occurrence point 47 on the pipeline network map 45. The candidate pipeline selection unit 25 selects, from the plurality of tentative candidate pipelines, a plurality of candidate pipelines that have first attribute data 33 that is closest to the second attribute data 37 of the water leakage pipeline. The water leakage pipeline identification unit 26 identifies, from the plurality of candidate pipelines, the candidate pipeline that is closest to the water leakage accident occurrence point 47 as the water leakage pipeline.

[0056] The pipeline network data creation device 1, 1b with water leakage accident history includes a tentative candidate pipeline selection unit 24, a candidate pipeline selection unit 25, and a leaking pipeline identification unit 26. Therefore, even if a pipeline ID, which is an identifier for the leaking pipeline, is missing and the address of the leaking pipeline is insufficiently identified, the pipeline network data creation device 1, 1b can identify the leaking pipeline with higher accuracy. Because the leaking pipeline is identified using a computer rather than manually, the leaking pipeline can be identified quickly and without human error. Furthermore, because the tentative candidate pipeline selection unit 24, the candidate pipeline selection unit 25, and the leaking pipeline identification unit 26 gradually narrow down the candidate pipelines for the leaking pipeline, the leaking pipeline can be identified quickly even if the pipeline network data 31 includes multiple pipelines with the same attributes.

[0057] By utilizing the pipeline network data 50 with water leakage accident history obtained by the pipeline network data creation device 1, 1b, it becomes possible to create a more accurate water leakage accident prediction model, pipeline maintenance plans, and pipeline renewal plans more quickly.

[0058] In the pipeline network data creation device 1, 1b with water leakage accident history of this embodiment, the first attribute data 33 includes the diameter, pipe material, and installation year of a plurality of pipelines. The second attribute data 37 includes the diameter, pipe material, and installation year of the leaking pipeline.

[0059] Therefore, even if the pipeline ID, which is an identifier of the leaking pipeline, is missing and the address of the leaking pipeline is not sufficiently identified, the pipeline network data with water leakage accident history creation device 1, 1b can identify the leaking pipeline more accurately and more quickly.By using the pipeline network data with water leakage accident history 50 obtained by the pipeline network data with water leakage accident history creation device 1, 1b, it is possible to more quickly create a more accurate water leakage accident prediction model, a pipeline maintenance plan, and a pipeline renewal plan.

[0060] In the pipeline network data creation device with water leakage accident history 1, 1b of this embodiment, the predetermined distance d is a distance between 50 m and 200 m.

[0061] Therefore, even if the pipeline ID, which is an identifier of the leaking pipeline, is missing and the address of the leaking pipeline is not sufficiently identified, the pipeline network data with water leakage accident history creation device 1, 1b can identify the leaking pipeline more accurately and more quickly.By using the pipeline network data with water leakage accident history 50 obtained by the pipeline network data with water leakage accident history creation device 1, 1b, it is possible to more quickly create a more accurate water leakage accident prediction model, a pipeline maintenance plan, and a pipeline renewal plan.

[0062] The pipeline network data with water leakage accident history creating device 1, 1b of this embodiment further includes a pipeline network data with water leakage accident history creating unit 27. The pipeline network data with water leakage accident history creating unit 27 creates pipeline network data with water leakage accident history 50 by adding a water leakage accident history indicating that an identified candidate pipeline among a plurality of pipelines is a leaking pipeline to the pipeline network data 31.

[0063] It is possible to provide customers with pipeline network data 50 with a water leakage incident history, which includes data on leaking pipelines identified with higher accuracy. This makes it possible to more quickly create a water leakage incident prediction model, a pipeline maintenance plan, and a pipeline renewal plan with higher accuracy.

[0064] In the pipeline network data creation device 1, 1b of this embodiment, the pipeline network data 50 with water leakage accident history is a pipeline network data table 51 with water leakage accident history or a pipeline network map 52 with water leakage accident history, which includes the pipeline IDs, first attribute data 33 and locations 34 of multiple pipelines, and water leakage accident history.

[0065] The pipeline network data 50 with water leakage accident history, which includes data on leaking pipelines identified with higher accuracy, can be provided to customers in an easy-to-understand manner.

[0066] The method for creating pipeline network data with water leakage accident history according to this embodiment includes a step (step S2) of mapping a plurality of pipelines and water leakage accident occurrence points 47 corresponding to the addresses of the water leakage accidents based on the positions 34 of the plurality of pipelines and the addresses of the water leakage accidents to create a pipeline network map 45. The pipeline network data 31 includes pipeline IDs, first attribute data 33, and positions 34 of the plurality of pipelines. The positions 34 of the plurality of pipelines include the latitudes and longitudes of the plurality of pipelines. The water leakage accident data 36 includes second attribute data 37 of the leaking pipeline, which is the pipeline where the water leakage accident occurred, and the address of the water leakage accident. The water leakage accident data 36 does not include the pipeline ID of the leaking pipeline, or the latitude and longitude of the leaking pipeline. The method for creating pipeline network data with water leakage accident history in this embodiment includes a step of selecting, from a plurality of pipelines, a plurality of provisional candidate pipelines that are within a predetermined distance d from the water leakage accident point 47 in the pipeline network map 45 (step S3); a step of selecting, from the plurality of provisional candidate pipelines, a plurality of candidate pipelines that have first attribute data 33 that are closest to the second attribute data 37 of the water leakage pipeline (step S4); and a step of identifying, from the plurality of candidate pipelines, the candidate pipeline that is closest to the water leakage accident point 47 as the water leakage pipeline (step S5).

[0067] The method for creating pipeline network data with water leakage accident history according to this embodiment includes the steps of selecting a plurality of tentative candidate pipelines from a plurality of pipelines (step S3), selecting a plurality of candidate pipelines from the plurality of tentative candidate pipelines (step S4), and identifying, as the leaking pipeline, the candidate pipeline closest to the water leakage accident occurrence point 47 among the plurality of candidate pipelines (step S5). Therefore, even if the pipeline ID, which is an identifier for the leaking pipeline, is missing and the address of the leaking pipeline is not sufficiently identified, the leaking pipeline can be identified with higher accuracy. Because the leaking pipeline is identified using a computer rather than manually, the leaking pipeline can be identified quickly and without human error. Furthermore, the candidate pipelines for the leaking pipeline are narrowed down in stages through the steps of selecting a plurality of provisional candidate pipelines from a plurality of pipelines (step S3), selecting a plurality of candidate pipelines from a plurality of provisional candidate pipelines (step S4), and identifying the candidate pipeline closest to the leaking accident point 47 among the plurality of candidate pipelines as the leaking pipeline (step S5). Therefore, even if the pipeline network data 31 includes a large number of pipelines with the same attributes, the leaking pipeline can be quickly identified.

[0068] By utilizing the pipeline network data 50 with water leakage accident history obtained by the method for creating pipeline network data with water leakage accident history of this embodiment, it becomes possible to create a more accurate water leakage accident prediction model, pipeline maintenance plan, and pipeline renewal plan more quickly.

[0069] In the method for creating pipeline network data with water leakage accident history according to this embodiment, the first attribute data 33 includes the diameters, pipe materials, and installation years of a plurality of pipelines. The second attribute data 37 includes the diameters, pipe materials, and installation years of the leaking pipelines.

[0070] Therefore, even if the pipeline ID, which is an identifier of the leaking pipeline, is missing and the address of the leaking pipeline is not sufficiently identified, the leaking pipeline can be identified more accurately and more quickly.By using the pipeline network data 50 with water leakage accident history obtained by the method for creating pipeline network data with water leakage accident history of this embodiment, it is possible to create a water leakage accident prediction model, a pipeline maintenance plan, and a pipeline renewal plan with higher accuracy more quickly.

[0071] In the method for creating pipeline network data with water leakage accident history according to this embodiment, the predetermined distance d is a distance between 50 m and 200 m.

[0072] Therefore, even if the pipeline ID, which is an identifier of the leaking pipeline, is missing and the address of the leaking pipeline is not sufficiently identified, the leaking pipeline can be identified more accurately and more quickly.By using the pipeline network data 50 with water leakage accident history obtained by the method for creating pipeline network data with water leakage accident history of this embodiment, it is possible to create a water leakage accident prediction model, a pipeline maintenance plan, and a pipeline renewal plan with higher accuracy more quickly.

[0073] The method for creating pipeline network data with water leakage accident history in this embodiment further includes a step (step S6) of creating pipeline network data 50 with water leakage accident history by adding a water leakage accident history to the pipeline network data 31, which indicates that an identified candidate pipeline among multiple pipelines is a water leakage pipeline.

[0074] It is possible to provide customers with pipeline network data 50 with a water leakage incident history, which includes data on leaking pipelines identified with higher accuracy. This makes it possible to more quickly create a water leakage incident prediction model, a pipeline maintenance plan, and a pipeline renewal plan with higher accuracy.

[0075] In the method for creating pipeline network data with water leakage accident history of this embodiment, the pipeline network data with water leakage accident history 50 is a pipeline network data table with water leakage accident history 51 or a pipeline network map with water leakage accident history 52 that includes the pipeline IDs, first attribute data 33, and locations 34 of multiple pipelines, as well as water leakage accident history.

[0076] The pipeline network data 50 with water leakage accident history, which includes data on leaking pipelines identified with higher accuracy, can be provided to customers in an easy-to-understand manner.

[0077] The program 55 of this embodiment causes the processor 12 to execute each step of the method of creating pipeline network data with water leakage accident history of this embodiment.

[0078] Therefore, even if the pipeline ID, which is an identifier of the leaking pipeline, is missing and the address of the leaking pipeline is not sufficiently identified, the leaking pipeline can be identified more accurately and more quickly.By using the pipeline network data 50 with water leakage accident history obtained by executing the program 55 of this embodiment by the processor 12, it is possible to more quickly create a water leakage accident prediction model with higher accuracy, a pipeline maintenance plan, and a pipeline renewal plan.

[0079] Various aspects of the present disclosure are summarized below as appendices. (Supplementary Note 1) A pipeline network map creation unit is provided which creates a pipeline network map by mapping a plurality of pipelines and a water leakage accident occurrence point corresponding to the address of the water leakage accident based on the positions of the plurality of pipelines and the address of the water leakage accident, wherein the pipeline network data includes pipeline IDs, first attribute data and positions of the plurality of pipelines, the positions of the plurality of pipelines include latitude and longitude of the plurality of pipelines, and the water leakage accident data includes second attribute data of the leaking pipeline which is the pipeline where the water leakage accident occurred and the address of the water leakage accident, and the water leakage accident data does not include the pipeline ID of the leaking pipeline and the latitude and longitude of the leaking pipeline; a provisional candidate pipeline selection unit which selects, from the plurality of pipelines, a plurality of provisional candidate pipelines which are within a predetermined distance from the water leakage accident occurrence point in the pipeline network map; and a candidate pipeline selection unit which selects, from the plurality of provisional candidate pipelines, a plurality of candidate pipelines which have the first attribute data closest to the second attribute data of the leaking pipeline. a leakage pipeline identifying unit that identifies, as the leaking pipeline, a candidate pipeline that is closest to the point where the water leakage accident occurred among the plurality of candidate pipelines. (Supplementary Note 2) The pipeline network data creating device with water leakage accident history according to Supplementary Note 1, wherein the first attribute data includes the diameters, pipe materials, and installation years of the plurality of pipelines, and the second attribute data includes the diameters, pipe materials, and installation years of the leaking pipeline. (Supplementary Note 3) The pipeline network data creating device with water leakage accident history according to Supplementary Note 1 or Supplementary Note 2, wherein the predetermined distance is any distance between 50 m and 200 m. (Supplementary Note 4) The pipeline network data creating device with water leakage accident history according to any of Supplementary Notes 1 to 3, further comprising a leakage accident history creating unit that creates pipeline network data with water leakage accident history by adding, to the pipeline network data, a leakage accident history that indicates that the identified candidate pipeline among the plurality of pipelines is the leaking pipeline. (Appendix 5) The pipeline network data with water leakage accident history creation device described in Appendix 4, wherein the pipeline network data with water leakage accident history is a pipeline network data table with water leakage accident history or a pipeline network map with water leakage accident history, which includes the pipeline ID, the first attribute data, and the location of the plurality of pipelines, and the water leakage accident history.(Supplementary Note 6) A method for generating a pipeline network map by mapping a plurality of pipelines and a water leakage accident occurrence point corresponding to the address of the water leakage accident based on the positions of the plurality of pipelines and the address of the water leakage accident, wherein the pipeline network data includes pipeline IDs, first attribute data, and positions of the plurality of pipelines, the positions of the plurality of pipelines include latitudes and longitudes of the plurality of pipelines, and the water leakage accident data includes second attribute data of the leaking pipeline which is the pipeline where the water leakage accident occurred and the address of the water leakage accident, and the water leakage accident data does not include the pipeline ID of the leaking pipeline and the latitude and longitude of the leaking pipeline; a step of selecting, from the plurality of pipelines, a plurality of provisional candidate pipelines which are within a predetermined distance from the water leakage accident occurrence point in the pipeline network map; and a step of selecting, from the plurality of provisional candidate pipelines, a plurality of candidate pipelines which have the first attribute data closest to the second attribute data of the leaking pipeline. and identifying, as the leaking pipeline, a candidate pipeline that is closest to the point where the water leakage accident occurred among the plurality of candidate pipelines. (Supplementary Note 7) The method for creating pipeline network data with a water leakage accident history according to Supplementary Note 6, wherein the first attribute data includes the diameters, pipe materials, and installation years of the plurality of pipelines, and the second attribute data includes the diameters, pipe materials, and installation years of the leaking pipeline. (Supplementary Note 8) The method for creating pipeline network data with a water leakage accident history according to Supplementary Note 6 or Supplementary Note 7, wherein the predetermined distance is any distance between 50 m and 200 m. (Supplementary Note 9) The method for creating pipeline network data with a water leakage accident history according to any of Supplementary Notes 6 to 8, further comprising the step of creating pipeline network data with a water leakage accident history by adding, to the pipeline network data, a water leakage accident history that indicates that the identified candidate pipeline among the plurality of pipelines is the leaking pipeline. (Supplementary Note 10) A pipeline network data with water leakage accident history creation method according to Supplementary Note 9, wherein the pipeline network data with water leakage accident history is a pipeline network data table with water leakage accident history or a pipeline network map with water leakage accident history, including the pipeline IDs, the first attribute data, and the positions of the plurality of pipelines, and the water leakage accident history. (Supplementary Note 11) A program that causes a processor to execute each step of the pipeline network data with water leakage accident history creation method according to any one of Supplementary Note 6 to Supplementary Note 10.

[0080] The embodiments and modifications disclosed herein should be considered to be illustrative in all respects and not restrictive. The scope of the present disclosure is defined by the claims, not the above description, and is intended to include all modifications within the meaning and scope of the claims.

[0081] 1, 1b Pipeline network data creation device with water leakage accident history, 2 Pipeline network data creation system with water leakage accident history, 3 Pipeline network data acceptance device, 4 Water leakage accident data acceptance device, 5 Storage device, 6 Communication network, 11 Input device, 12 Processor, 13 Memory, 14 Display, 16 Network controller, 17 Recording medium drive, 18 Recording medium, 19 Storage, 21 Pipeline network data acceptance unit, 22 Water leakage accident data acceptance unit, 23 Pipeline network map creation unit, 24 Tentative candidate pipeline selection unit, 25 Candidate pipeline selection unit, 26 Water leakage pipeline identification unit, 27 Pipeline network data creation unit with water leakage accident history, 30 Memory unit, 31 Pipeline network data, 32 Pipeline network data table, 33 First attribute data, 34 Location, 36 Water leakage accident data, 37 Second attribute data, 40 Map data, 45 Pipeline network map, 47 Location of water leakage accident, 48. Water leakage pipeline sign, 50. Pipeline network data with water leakage accident history, 51. Pipeline network data table with water leakage accident history, 52. Pipeline network map with water leakage accident history, 55. Program.

Claims

1. A pipeline network map creation unit that creates a pipeline network map by mapping a plurality of pipelines and a water leakage accident occurrence point corresponding to the address of the water leakage accident based on the positions of the plurality of pipelines and the address of the water leakage accident, the pipeline network data including pipeline IDs, first attribute data, and positions of the plurality of pipelines, the positions of the plurality of pipelines including latitude and longitude of the plurality of pipelines, the water leakage accident data including second attribute data of a leaking pipeline which is the pipeline where the water leakage accident occurred and the address of the water leakage accident, the water leakage accident data not including the pipeline ID of the leaking pipeline and the latitude and longitude of the leaking pipeline, a provisional candidate pipeline selection unit that selects from the plurality of pipelines a plurality of provisional candidate pipelines that are within a predetermined distance from the water leakage accident occurrence point in the pipeline network map, and a candidate pipeline selection unit that selects from the plurality of provisional candidate pipelines a plurality of candidate pipelines having the first attribute data closest to the second attribute data of the leaking pipeline, and a leakage pipeline identifying unit that identifies, as the leakage pipeline, a candidate pipeline that is closest to a point where the leakage accident occurred among the plurality of candidate pipelines.

2. The pipeline network data creation device with leakage accident history as described in claim 1, wherein the first attribute data includes the diameter, pipe material and year of installation of the plurality of pipelines, and the second attribute data includes the diameter, pipe material and year of installation of the leaking pipeline.

3. The pipeline network data creation device with water leakage accident history according to claim 1 or 2, wherein the predetermined distance is any distance between 50 m and 200 m.

4. A pipeline network data creation device with water leakage accident history as described in any one of claims 1 to 3, further comprising a pipeline network data with water leakage accident history creation unit that creates pipeline network data with water leakage accident history by adding a water leakage accident history indicating that the identified candidate pipeline among the plurality of pipelines is the leaking pipeline to the pipeline network data.

5. The pipeline network data with water leakage accident history creation device as described in claim 4, wherein the pipeline network data with water leakage accident history is a pipeline network data table with water leakage accident history or a pipeline network map with water leakage accident history, which includes the pipeline ID, the first attribute data, and the positions of the multiple pipelines, and the water leakage accident history.

6. A step of creating a pipeline network map by mapping the multiple pipelines and the leakage accident occurrence point corresponding to the address of the leakage accident based on the positions of the multiple pipelines and the address of the leakage accident, wherein the pipeline network data includes the pipeline ID, first attribute data and positions of the multiple pipelines, the positions of the multiple pipelines include the latitude and longitude of the multiple pipelines, the leakage accident data includes second attribute data of the leaking pipeline which is the pipeline where the leakage accident occurred and the address of the leakage accident, and the leakage accident data does not include the pipeline ID of the leaking pipeline and the latitude and longitude of the leaking pipeline; a step of selecting from the multiple pipelines multiple provisional candidate pipelines that are within a predetermined distance from the leakage accident occurrence point in the pipeline network map; and a step of selecting from the multiple provisional candidate pipelines multiple candidate pipelines having the first attribute data closest to the second attribute data of the leaking pipeline. and identifying, as the leaking pipeline, a candidate pipeline that is closest to a point where the leaking accident occurred among the plurality of candidate pipelines.

7. A method for creating pipeline network data with leakage accident history as described in claim 6, wherein the first attribute data includes the diameter, pipe material and year of installation of the plurality of pipelines, and the second attribute data includes the diameter, pipe material and year of installation of the leaking pipeline.

8. A method for creating pipeline network data with a water leakage accident history according to claim 6 or 7, wherein the predetermined distance is any distance between 50 m and 200 m.

9. A method for creating pipeline network data with a water leakage accident history as described in any one of claims 6 to 8, further comprising a step of creating pipeline network data with a water leakage accident history by adding a water leakage accident history indicating that the identified candidate pipeline among the plurality of pipelines is the leaking pipeline to the pipeline network data.

10. A method for creating pipeline network data with water leakage accident history as described in claim 9, wherein the pipeline network data with water leakage accident history is a pipeline network data table with water leakage accident history or a pipeline network map with water leakage accident history, which includes the pipeline IDs, the first attribute data, and the positions of the multiple pipelines, and the water leakage accident history.

11. A program for causing a processor to execute each step of the method for creating pipeline network data with water leakage accident history according to any one of claims 6 to 10.

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