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

To provide a device for creating pipeline network data with water leakage accident history that can immediately identify a water leaking pipe line with excellent accuracy.SOLUTION: A device 1 for creating pipeline network data with water leakage accident history comprises 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.SELECTED DRAWING: Figure 2

Description

Technical Field

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

Background Art

[0002] Japanese Patent Application Publication No. 2021-519466 (Patent Document 1) discloses a method for improving pipeline data related to a network of underground pipelines.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] Leakage accident data provided by customers such as water supply utilities may lack a pipeline ID, which is an identifier of the pipeline where the leakage accident occurred, and the identification of the address of the pipeline where the leakage accident occurred may be insufficient. Therefore, in the pipeline network, it is impossible to identify the leaking pipeline, which is the pipeline where the leakage accident occurred. Even if a leakage accident prediction model, a pipeline maintenance plan, and a pipeline renewal plan are created based on such leakage accident data, it is impossible to create a leakage accident prediction model, a pipeline maintenance plan, and a pipeline renewal plan with high accuracy. An object of the present disclosure is to provide a pipeline network data creation device with a leakage accident history, a pipeline network data creation method with a leakage accident history, and a program that can identify leaking pipelines with higher accuracy and more quickly.

Means for Solving the Problems

[0005] The pipeline network data creation device with leak accident history according to the present disclosure includes a pipeline network map creation unit, a provisional candidate pipeline selection unit, a candidate pipeline selection unit, and a leak pipeline identification unit. The pipeline network map creation unit creates a pipeline network map by mapping a plurality of pipelines and the leak accident occurrence locations corresponding to the addresses of the leak accidents based on the positions of the plurality of pipelines and the addresses of the leak accidents. The pipeline network data includes the 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 leak accident data includes the second attribute data of the leak pipeline, which is the pipeline where the leak accident occurred, and the address of the leak accident. The leak accident data does not include the pipeline ID of the leak pipeline and the latitude and longitude of the leak pipeline. The provisional candidate pipeline selection unit selects a plurality of provisional candidate pipelines within a predetermined distance from the leak accident occurrence location in the pipeline network map from the plurality of pipelines. The candidate pipeline selection unit selects a plurality of candidate pipelines having the first attribute data closest to the second attribute data of the leak pipeline from the plurality of provisional candidate pipelines. The leak pipeline identification unit identifies the candidate pipeline closest to the leak accident occurrence location among the plurality of candidate pipelines as the leak pipeline.

[0006] The pipeline network data creation method with leak accident history according to the present disclosure includes the step of creating a pipeline network map by mapping a plurality of pipelines and the leak accident occurrence locations corresponding to the addresses of the leak accidents based on the positions of the plurality of pipelines and the addresses of the leak accidents. The pipeline network data includes the 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 leak accident data includes the second attribute data of the leak pipeline, which is the pipeline where the leak accident occurred, and the address of the leak accident. The leak accident data does not include the pipeline ID of the leak pipeline and the latitude and longitude of the leak pipeline. The pipeline network data creation method with leak accident history according to the present disclosure includes the steps of selecting a plurality of provisional candidate pipelines within a predetermined distance from the leak accident occurrence location in the pipeline network map from the plurality of pipelines, selecting a plurality of candidate pipelines having the first attribute data closest to the second attribute data of the leak pipeline from the plurality of provisional candidate pipelines, and identifying the candidate pipeline closest to the leak accident occurrence location among the plurality of candidate pipelines as the leak pipeline.

[0007] The program of the present disclosure causes a processor to execute each step of the method for creating pipeline network data with a leakage accident history of the present disclosure.

Advantages of the Invention

[0008] According to the pipeline network data creation device with a leakage accident history, the pipeline network data creation method, and the program of the present disclosure, a leaking pipeline can be identified with higher accuracy and more quickly.

Brief Description of the Drawings

[0009]

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Embodiments for Carrying Out the Invention

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

[0011] With reference to FIGS. 1 and 2, a pipeline network data creation device 1 with a leakage accident history will be described.

[0012] <Hardware Configuration>

[0013] With reference to FIG. 1, the hardware configuration of the pipeline network data creation device 1 with a leakage accident history will be described. The pipeline network data creation device 1 with a leakage accident history 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.

[0014] The input device 11 receives various input operations. The input device 11 is, for example, a keyboard, a mouse, or a touch panel.

[0015] The display 14 displays information necessary for processing in the pipeline network data creation device 1 such as pipeline network data 31 (see FIG. 3), leakage accident data 36 (see FIG. 4), and map data 40 (see FIG. 5), and pipeline network data 50 with a leakage accident history (see FIGS. 10 and 11). The display 14 is, for example, an LCD (Liquid Crystal Display) or an organic EL (Electroluminescence) display.

[0016] By executing the program described below, the processor 12 executes the processes necessary to realize the functions of the pipeline network data creation device 1 with leak accident history. The processor 12 is composed of, for example, a CPU (Central Processing Unit) or a GPU (Graphics Processing Unit).

[0017] When the processor 12 executes a program, the memory 13 provides a storage area for temporarily storing program codes, work memories, etc. The memory 13 is, for example, a volatile memory device such as a DRAM (Dynamic Random Access Memory) or an SRAM (Static Random Access Memory).

[0018] 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 the pipeline network data 50 with leak accident history (see FIGS. 10 and 11) to an external device via the communication network. The network controller 16 may receive the pipeline network data 31 (see FIG. 3) and the leak accident data 36 (see FIG. 4) from a customer such as a water utility via the communication network. The network controller 16 supports, for example, any communication method such as Ethernet (registered trademark), wireless LAN, or Bluetooth (registered trademark).

[0019] The recording medium drive 17 is a device that reads programs or data stored in the recording medium 18. The recording medium drive 17 may further be a device that writes programs or data to the recording medium 18. The recording medium 18 is a non-transitory recording medium and stores programs or data in a non-volatile manner. The recording medium 18 is, for example, an optical recording medium such as an optical disk (e.g., CD-ROM or DVD-ROM), a semiconductor recording medium such as a flash memory or a USB memory, a magnetic recording medium such as an FD (Floppy Disk) 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 accident data 36 (see FIG. 4) may be provided from a customer such as a water utility using the recording medium 18. The pipeline network data 50 with water leakage accident history (see FIGS. 10 and 11) may be stored in the recording medium 18.

[0020] The storage 19 is, for example, a non-volatile memory device such as a hard disk or an SSD (Solid State Drive). The storage 19 stores the pipeline network data 31 (see FIG. 3), the water leakage accident data 36 (see FIG. 4), the map data 40 (see FIG. 5), the pipeline network data 50 with water leakage accident history (see FIGS. 10 and 11), and the program 55, etc. The program 55 is executed in the processor 12 to realize the functions of the pipeline network data creation device 1 with water leakage accident history. The program 55 may be stored in the non-transitory recording medium 18 for distribution and installed in the storage 19. The program 55 may be downloaded to the pipeline network data creation device 1 via the Internet or an intranet.

[0021] In the present embodiment, an example is shown in which a general-purpose computer (processor 12) realizes the functions of the pipeline network data creation device 1 with leakage accident history by executing a program 55. All or part of the functions of the pipeline network data creation device 1 with leakage accident history may be realized using an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array).

[0022] <Functional Configuration>

[0023] Referring to FIG. 2, an example of the functional configuration of the pipeline network data creation device 1 with leakage accident history will be described. The pipeline network data creation device 1 with leakage accident history includes a pipeline network data reception unit 21, a leakage accident data reception unit 22, a pipeline network map creation unit 23, a provisional candidate pipeline selection unit 24, a candidate pipeline selection unit 25, a leaking pipeline identification unit 26, a pipeline network data creation unit 27 with leakage accident history, and a storage unit 30.

[0024] The pipeline network data reception unit 21 receives pipeline network data 31 from a customer such as a waterworks business. The pipeline network data reception 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.

[0025] 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 of a plurality of pipelines constituting the pipeline network, first attribute data 33, and positions 34. The pipeline ID is an identifier for each pipeline. The first attribute data 33 is attribute data for each pipeline and includes, for example, the diameter, pipe material, and laying year of each pipeline. The diameter is the diameter of the pipe constituting the pipeline. The pipe material is the material of the pipe constituting the pipeline and may also be called the pipe type. Examples of pipe materials include ductile cast iron pipe (DIP), ordinary cast iron pipe (CIP), rigid vinyl chloride pipe (VP), and water supply steel pipe (SP). The laying year is the year in which the pipeline was laid, such as the year in which the pipeline was buried in the ground. The first attribute data 33 of the pipeline may further include the pipeline length, which is the length of the pipeline. The position 34 of the pipeline includes the latitude and longitude of the pipeline.

[0026] The water leakage accident data reception unit 22 receives water leakage accident data 36 from customers such as water supply utilities. The water leakage accident data reception 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.

[0027] Referring to FIG. 4, the water leakage accident data 36 includes an accident ID, a pipeline ID of the leaking pipeline which is the 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 of the pipeline network data 31 shown in FIG. 3. The second attribute data 37 includes, for example, the diameter, pipe material, and laying year of the leaking pipeline. The second attribute data 37 may further include the water leakage accident occurrence year which is the year when the water leakage accident occurred. The address of the water leakage accident is the address of the location where the water leakage accident occurred.

[0028] Based on the positions 34 of a plurality of pipelines (refer to FIG. 3) and the addresses of the water leakage accidents (refer to FIG. 4), the pipeline network map creation unit 23 maps the plurality of pipelines and the water leakage accident occurrence locations 47 corresponding to the addresses of the water leakage accidents, and creates a pipeline network map 45 (refer to FIG. 6). Specifically, the pipeline network map creation unit 23 reads out 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 from public institutions or the like through 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 a plurality of pipelines onto the map with reference 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 locations 47 onto the map with reference to the addresses of the water leakage accident data 36 and the addresses of the map data 40. In this way, the pipeline network map creation unit 23 creates the pipeline network map 45.

[0029] As shown in FIG. 4, the leakage accident data 36 provided by the customer may lack the pipeline ID which is the identifier of the leaking pipeline, and the identification of the address of the leaking pipeline may be insufficient. For example, the leakage accident data 36 provided by the customer may not include the pipeline ID of the leaking pipeline and the latitude and longitude of the leaking pipeline. In the leakage accident data 36 provided by the customer, the address of the leakage accident may not be specified down to the house number. Also, in areas with low population density, the address may not be set finely enough to identify the pipeline. Therefore, even if the leakage accident data 36 provided by the customer is directly reflected in the pipeline network data 31, as shown in FIG. 6, the leakage accident occurrence location 47 may deviate from the pipeline and the leaking pipeline cannot be identified.

[0030] For example, as in the case of accident ID1 shown in FIG. 4, when the leakage accident data 36 does not include the pipeline ID of the leaking pipeline and the address of the leakage accident is only specified down to the town, the pipeline network map creation unit 23 designates the center position of the area of the town as the leakage accident occurrence location 47. The leakage accident occurrence location 47 deviates from the pipeline and the leaking pipeline cannot be identified. Therefore, even if the leakage accident data 36 provided by the customer lacks the pipeline ID which is the identifier of the leaking pipeline and the identification of the address of the leaking pipeline is insufficient, as described below, the pipeline network data with leakage accident history creation device 1 can identify the leaking pipeline with higher accuracy by the tentative candidate pipeline selection unit 24, the candidate pipeline selection unit 25, and the leaking pipeline identification unit 26.

[0031] The leaking pipeline is likely to exist near the leakage accident occurrence location 47. Therefore, as shown in FIG. 7, the tentative candidate pipeline selection unit 24 selects a plurality of tentative candidate pipelines within a predetermined distance d from the leakage accident occurrence location 47 in the pipeline network map 45 from among the plurality of pipelines included in the pipeline network data 31. 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 ID2, pipeline ID4, pipeline ID5, and pipeline ID7) are selected.

[0032] The probability is high that the leak pipeline has the first attribute data 33 that is closest to the second attribute data 37 of the leak pipeline among the plurality of provisional candidate pipelines. Therefore, as shown in FIG. 8, the candidate pipeline selection unit 25 selects a plurality of candidate pipelines having the first attribute data 33 that is closest to the second attribute data 37 of the leak pipeline from the plurality of provisional candidate pipelines. For example, the candidate pipeline selection unit 25 compares the first attribute data 33 of the plurality of provisional candidate pipelines with the second attribute data 37 of the leak pipeline, and among the plurality of provisional candidate pipelines, selects those whose diameter, pipe material, and installation year match the diameter, pipe material, and installation year of the leak pipeline as the plurality of candidate pipelines. In FIG. 8, for example, two candidate pipelines (pipeline ID2 and pipeline ID5) are selected.

[0033] The probability is high that the leak pipeline exists near the leak accident occurrence point 47. Therefore, as shown in FIG. 9, the leak pipeline identification unit 26 identifies the candidate pipeline that is closest to the leak accident occurrence point 47 among the plurality of candidate pipelines as the leak pipeline. In FIG. 9, for example, pipeline ID2 is identified as the leak pipeline.

[0034] The pipeline network data creation unit 27 with leak accident history creates the pipeline network data 50 with leak accident history by adding a leak accident history indicating that the identified candidate pipeline among the plurality of pipelines is a leak pipeline to the pipeline network data 31. The pipeline network data 50 with leak accident history may be a pipeline network data table 51 with leak accident history (see FIG. 10) or a pipeline network map 52 with leak accident history (see FIG. 11). The pipeline network data table 51 with leak accident history and the pipeline network map 52 with leak accident history each include the pipeline ID, the first attribute data 33, the position 34, and the leak accident history of the plurality of pipelines.

[0035] The pipeline network data creation unit 27 with leakage accident history creates a pipeline network data table 51 with leakage accident history (see FIG. 10) by adding a leakage accident history to the pipeline network data table 32 (see FIG. 3). For example, the pipeline network data creation unit 27 with leakage accident history inputs "1" into the leakage accident history column of the pipeline identified as the leaking pipeline by the leaking pipeline identification unit 26, and inputs "0" into the leakage accident history column of the pipeline not identified as the leaking pipeline, thereby adding the leakage accident history to the pipeline network data table 32.

[0036] The pipeline network data creation unit 27 with leakage accident history creates a pipeline network map 52 with leakage accident history (see FIG. 11) from the map data (see FIG. 5) and the pipeline network data table 51 with leakage accident history (see FIG. 10). For example, the pipeline network data creation unit 27 with leakage accident history refers to the latitude and longitude of the pipeline network data table 51 with leakage accident history and the latitude and longitude of the map data 40, and maps the pipeline network composed of a plurality of pipelines on the map. The pipeline network data creation unit 27 with leakage accident history adds a leaking pipeline identifier 48 indicating that the pipeline with "1" input in the leakage accident history column of the pipeline network data table 51 with leakage accident history is a leaking pipeline to the pipeline network map. The leaking pipeline identifier 48 is an example of the leakage accident history. The leaking pipeline identifier 48 is, for example, a thick line in FIG. 11.

[0037] The pipeline network data creation unit 27 with leakage accident history outputs the pipeline network data 50 with leakage accident history to the storage unit 30. The pipeline network data 50 with leakage accident history is stored in the storage unit 30. The pipeline network data creation unit 27 with leakage accident history may output the pipeline network data 50 with leakage accident history to the display 14 (see FIG. 1) to display the pipeline network data 50 with leakage accident history on the display 14. The pipeline network data 50 with leakage accident history may be provided to customers through the Internet or the recording medium 18.

[0038] The storage unit 30 is realized by the storage 19 (see FIG. 1) or the recording medium 18 (see FIG. 1). The storage unit 30 stores, for example, pipeline network data 31, leakage accident data 36, map data 40, pipeline network data 50 with leakage accident history, and a program 55.

[0039] <Method for Creating Pipeline Network Data with Leakage Accident History>

[0040] Referring to FIG. 12, the method for creating pipeline network data with leakage accident history according to the present embodiment will be described.

[0041] The pipeline network data 31 and the leakage accident 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 leakage accident data receiving unit 22 receives the leakage accident data 36 from the customer. The pipeline network data 31 and the leakage accident data 36 are provided from the customer through 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 leakage accident data receiving unit 22 outputs the leakage accident data 36 to the storage unit 30. The leakage accident data 36 is stored in the storage unit 30.

[0042] Referring to FIG. 3, the pipeline network data 31 is, for example, a pipeline network data table 32. The pipeline network data 31 includes a pipeline ID of a plurality of pipelines constituting the pipeline network, first attribute data 33, and a position 34. The pipeline ID is an identifier of each pipeline. The first attribute data 33 is attribute data of each pipeline and includes, for example, the diameter, pipe material, and laying year of each pipeline. The diameter is the diameter of the pipe constituting the pipeline. The pipe material is the material of the pipe constituting the pipeline and may also be called a pipe type. Examples of the pipe material include ductile iron pipe (DIP), common cast iron pipe (CIP), rigid vinyl chloride pipe (VP), and water pipe (SP). The laying year is the year when the pipeline was laid, such as the year when the pipeline was buried in the ground. The first attribute data 33 of the pipeline may further include a pipeline length that is the length of the pipeline. The position 34 of the pipeline includes the latitude and longitude of the pipeline.

[0043] Referring to FIG. 4, the water leakage accident data 36 includes the accident ID of the water leakage pipeline, which is the pipeline where the water leakage accident occurred, the pipeline ID, the 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 in the water leakage accident data 36 is the pipeline ID of the water leakage 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 laying year of the water leakage pipeline. The second attribute data 37 may further include the water leakage accident occurrence year, which is the year when the water leakage accident occurred. The address of the water leakage accident is the address of the location where the water leakage accident occurred.

[0044] Referring to FIGS. 6 and 12, based on the positions 34 of the plurality of pipelines (see FIG. 3) and the address of the water leakage accident (see FIG. 4), the occurrence location 47 of the water leakage accident corresponding to the plurality of pipelines and the address of the water leakage accident is mapped to create a pipeline network map 45 (see FIG. 6) (step S2). Specifically, the pipeline network map creation unit 23 reads out 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 composed of the plurality of pipelines onto the map with reference 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 location 47 onto the map with reference to the address of the water leakage accident data 36 and the address of the map data 40. In this way, the pipeline network map creation unit 23 creates the pipeline network map 45.

[0045] As shown in FIG. 4, the water leakage accident data 36 provided by the customer may lack the pipeline ID which is the identifier of the leaking pipeline, and the identification of the address of the leaking pipeline may be insufficient. For example, the water leakage accident data 36 provided by the customer may not include the pipeline ID of the leaking pipeline and the latitude and longitude of the leaking pipeline. In the water leakage accident data 36 provided by the customer, the address of the water leakage accident may not be specified down to the house number. Also, in areas with low population density, the address may not be set finely enough to identify the pipeline. Therefore, even if the water leakage accident data 36 provided by the customer is directly reflected in the pipeline network data 31, as shown in FIG. 6, the water leakage accident occurrence location 47 may deviate from the pipeline, and it may not be possible to identify the leaking pipeline.

[0046] For example, as in the case of accident ID1 shown in FIG. 4, if 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 only specified down to the town, the pipeline network map creation unit 23 designates the center position of the area of the town as the water leakage accident occurrence location 47. The water leakage accident occurrence location 47 deviates from the pipeline, and it is not possible to identify the leaking pipeline. Therefore, even if the pipeline ID which is the identifier of the leaking pipeline is missing in the water leakage accident data 36 provided by the customer and the identification of the address of the leaking pipeline is insufficient, the leaking pipeline can be identified with higher accuracy by the following steps S3 to S5.

[0047] The leaking pipeline is likely to exist near the water leakage accident occurrence location 47. Therefore, referring to FIGS. 7 and 12, the tentative candidate pipeline selection unit 24 selects a plurality of tentative candidate pipelines within a predetermined distance d from the water leakage accident occurrence location 47 in the pipeline network map 45 from among the plurality of pipelines included in the pipeline network data 31 (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 ID2, pipeline ID4, pipeline ID5, and pipeline ID7) are selected.

[0048] The probability is high that the leak pipeline has the first attribute data 33 that is closest to the second attribute data 37 of the leak pipeline among the plurality of provisional candidate pipelines. Therefore, referring to FIGS. 8 and 12, the candidate pipeline selection unit 25 selects a plurality of candidate pipelines having the first attribute data 33 that is closest to the second attribute data 37 of the leak pipeline from the plurality of provisional candidate pipelines (step S4). For example, the candidate pipeline selection unit 25 compares the first attribute data 33 of the plurality of provisional candidate pipelines with the second attribute data 37 of the leak pipeline, and among the plurality of provisional candidate pipelines, selects those whose diameter, pipe material, and laying year match the diameter, pipe material, and laying year of the leak pipeline as the plurality of candidate pipelines. In FIG. 8, for example, two candidate pipelines (pipeline ID2 and pipeline ID5) are selected.

[0049] The probability is high that the leak pipeline exists near the leak accident occurrence point 47. Therefore, referring to FIGS. 9 and 12, the leak pipeline identification unit 26 identifies the candidate pipeline that is closest to the leak accident occurrence point 47 among the plurality of candidate pipelines as the leak pipeline (step S5). In FIG. 9, for example, pipeline ID2 is identified as the leak pipeline.

[0050] Referring to FIGS. 10 to 12, the pipeline network data creation unit 27 with leak accident history creates pipeline network data 50 with leak accident history by adding a leak accident history indicating that the identified candidate pipeline among the plurality of pipelines is the leak pipeline to the pipeline network data 31 (step S6). The pipeline network data 50 with leak accident history may be a pipeline network data table 51 with leak accident history (refer to FIG. 10) or a pipeline network map 52 with leak accident history (refer to FIG. 11). The pipeline network data table 51 with leak accident history and the pipeline network map 52 with leak accident history each include the pipeline ID, the first attribute data 33, the position 34, and the leak accident history of the plurality of pipelines.

[0051] The pipeline network data creation unit 27 with leakage accident history creates a pipeline network data table 51 with leakage accident history (see FIG. 10) by adding a leakage accident history to the pipeline network data table 32 (see FIG. 3). For example, the pipeline network data creation unit 27 with leakage accident history inputs "1" into the leakage accident history column of the pipeline identified as a leakage pipeline by the leakage pipeline identification unit 26, and inputs "0" into the leakage accident history column of the pipeline not identified as a leakage pipeline, thereby adding the leakage accident history to the pipeline network data table 32.

[0052] The pipeline network data creation unit 27 with leakage accident history creates a pipeline network map 52 with leakage accident history (see FIG. 11) from the map data (see FIG. 5) and the pipeline network data table 51 with leakage accident history (see FIG. 10). For example, the pipeline network data creation unit 27 with leakage accident history refers to the latitude and longitude of the pipeline network data table 51 with leakage accident history and the latitude and longitude of the map data 40, and maps the pipeline network composed of a plurality of pipelines on the map. The pipeline network data creation unit 27 with leakage accident history adds a leakage pipeline identifier 48 indicating that the pipeline with "1" input in the leakage accident history column of the pipeline network data table 51 with leakage accident history is a leakage pipeline to the pipeline network map. The leakage pipeline identifier 48 is an example of a leakage accident history. The leakage pipeline identifier 48 is, for example, a thick line in FIG. 11.

[0053] The pipeline network data creation unit 27 with leakage accident history outputs the pipeline network data 50 with leakage accident history to the storage unit 30. The pipeline network data 50 with leakage accident history is stored in the storage unit 30. The pipeline network data creation unit 27 with leakage accident history may output the pipeline network data 50 with leakage accident history to the display 14 (see FIG. 1) and display the pipeline network data 50 with leakage accident history on the display 14. The pipeline network data 50 with leakage accident history may be provided to customers through the Internet or the recording medium 18.

[0054] Program 55 (see Fig. 2) causes the processor 12 (see Fig. 1) to execute each step of the method for creating pipeline network data with a leakage accident history according to the present embodiment. The pipeline network data reception unit 21, the leakage accident data reception unit 22, the pipeline network map creation unit 23, the provisional candidate pipeline selection unit 24, the candidate pipeline selection unit 25, the leakage pipeline identification unit 26, and the pipeline network data creation unit 27 with a leakage accident history shown in Fig. 2 are realized by executing the program 55 by the processor 12.

[0055] The program 55 may be recorded on the computer-readable recording medium 18 (non-transitory computer-readable recording medium) according to the present embodiment.

[0056] (Modification example)

[0057] Referring to Fig. 13, in the modification example of the present embodiment, the functions of the pipeline network data creation device 1 with a leakage accident history may be realized by a pipeline network data creation system 2 with a leakage accident history. The pipeline network data creation system 2 with a leakage accident history includes a pipeline network data creation device 1b, a pipeline network data reception device 3, a leakage accident data reception device 4, and a storage device 5. The pipeline network data creation device 1b, the pipeline network data reception device 3, the leakage accident data reception device 4, and the storage device 5 are communicably connected to each other through a communication network 6 such as the Internet or an intranet. The hardware configuration of each of the pipeline network data creation device 1b, the pipeline network data reception device 3, and the leakage accident data reception device 4 is 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.

[0058] The pipeline network data creation device 1b with leak accident history has the functions of a pipeline network map creation unit 23 (see Fig. 2), a provisional candidate pipeline selection unit 24 (see Fig. 2), a candidate pipeline selection unit 25 (see Fig. 2), a leak pipeline identification unit 26 (see Fig. 2), and a pipeline network data creation unit 27 with leak accident history (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 leak accident data reception device 4 has the function of a leak accident data reception unit 22 (see Fig. 2). The storage device 5 has the function of a storage unit 20 (see Fig. 2).

[0059] The effects of the pipeline network data creation devices 1 and 1b with leak accident history, the pipeline network data creation method with leak accident history, and the program 55 according to the present embodiment will be described.

[0060] The pipeline network data creation devices 1 and 1b with leak accident history according to the present embodiment include a pipeline network map creation unit 23, a provisional candidate pipeline selection unit 24, a candidate pipeline selection unit 25, and a leak pipeline identification unit 26. The pipeline network map creation unit 23 maps a plurality of pipelines and the leak accident occurrence locations 47 corresponding to the addresses of the leak accidents based on the positions 34 of the plurality of pipelines and the addresses of the leak accidents, and creates a pipeline network map 45. The pipeline network data 31 includes the 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 leak accident data 36 includes second attribute data 37 of the leak pipeline, which is the pipeline where the leak accident occurred, and the address of the leak accident. The leak accident data 36 does not include the pipeline ID of the leak pipeline and the latitude and longitude of the leak pipeline. The provisional candidate pipeline selection unit 24 selects a plurality of provisional candidate pipelines within a predetermined distance d from the leak accident occurrence location 47 in the pipeline network map 45 from the plurality of pipelines. The candidate pipeline selection unit 25 selects a plurality of candidate pipelines having first attribute data 33 closest to the second attribute data 37 of the leak pipeline from the plurality of provisional candidate pipelines. The leak pipeline identification unit 26 identifies the candidate pipeline closest to the leak accident occurrence location 47 among the plurality of candidate pipelines as the leak pipeline.

[0061] The pipeline network data creation device 1, 1b with a leakage accident history includes a provisional candidate pipeline selection unit 24, a candidate pipeline selection unit 25, and a leakage pipeline identification unit 26. Therefore, even if the pipeline ID, which is the identifier of the leakage pipeline, is missing and the identification of the address of the leakage pipeline is insufficient, the pipeline network data creation device 1, 1b with a leakage accident history can identify the leakage pipeline with higher accuracy. Since the leakage pipeline is identified using a computer instead of manual work, there are no human errors and the leakage pipeline can be identified quickly. Also, since the candidate pipelines for the leakage pipeline are gradually narrowed down by the provisional candidate pipeline selection unit 24, the candidate pipeline selection unit 25, and the leakage pipeline identification unit 26, even if the pipeline network data 31 includes a large number of pipelines with the same attributes, the leakage pipeline can be identified quickly.

[0062] By using the pipeline network data 50 with a leakage accident history obtained by the pipeline network data creation device 1, 1b with a leakage accident history, it becomes possible to more quickly create a leakage accident prediction model, a pipeline maintenance plan, and a pipeline renewal plan with higher accuracy.

[0063] In the pipeline network data creation device 1, 1b with a leakage accident history of the present 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 diameter, pipe material, and installation year of the leakage pipeline.

[0064] Therefore, even if the pipeline ID, which is the identifier of the leakage pipeline, is missing and the identification of the address of the leakage pipeline is insufficient, the pipeline network data creation device 1, 1b with a leakage accident history can identify the leakage pipeline with higher accuracy and more quickly. By using the pipeline network data 50 with a leakage accident history obtained by the pipeline network data creation device 1, 1b with a leakage accident history, it becomes possible to more quickly create a leakage accident prediction model, a pipeline maintenance plan, and a pipeline renewal plan with higher accuracy.

[0065] In the pipeline network data creation device 1, 1b with a leakage accident history of the present embodiment, the predetermined distance d is any distance between 50 m and 200 m.

[0066] Therefore, even if the pipeline ID, which is the identifier of the leakage pipeline, is missing and the identification of the address of the leakage pipeline is insufficient, the pipeline network data creation device 1, 1b with leakage accident history can identify the leakage pipeline with higher accuracy and more quickly. By using the pipeline network data 50 with leakage accident history obtained by the pipeline network data creation device 1, 1b with leakage accident history, it becomes possible to more quickly create a leakage accident prediction model, a pipeline maintenance plan, and a pipeline renewal plan with higher accuracy.

[0067] The pipeline network data creation device 1, 1b with leakage accident history according to the present embodiment further includes a pipeline network data creation unit 27 with leakage accident history. The pipeline network data creation unit 27 with leakage accident history creates the pipeline network data 50 with leakage accident history by adding a leakage accident history indicating that a specified candidate pipeline among a plurality of pipelines is a leakage pipeline to the pipeline network data 31.

[0068] The pipeline network data 50 with leakage accident history including data of the leakage pipeline identified with higher accuracy can be provided to the customer. It becomes possible to more quickly create a leakage accident prediction model, a pipeline maintenance plan, and a pipeline renewal plan with higher accuracy.

[0069] In the pipeline network data creation device 1, 1b with leakage accident history according to the present embodiment, the pipeline network data 50 with leakage accident history is a pipeline network data table 51 with leakage accident history or a pipeline network map 52 with leakage accident history, which includes the pipeline ID, the first attribute data 33, and the position 34 of a plurality of pipelines, and the leakage accident history.

[0070] The pipeline network data 50 with leakage accident history including data of the leakage pipeline identified with higher accuracy can be provided to the customer in an easy-to-understand manner.

[0071] The method for creating pipeline network data with a leakage accident history according to this embodiment includes a step (step S2) of creating a pipeline network map 45 by mapping a plurality of pipelines and leakage accident occurrence locations 47 corresponding to the addresses of leakage accidents based on the positions 34 of the plurality of pipelines and the addresses of the leakage accidents. 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 leakage accident data 36 includes second attribute data 37 of the leaking pipeline, which is the pipeline where the leakage accident occurred, and the address of the leakage accident. The leakage accident data 36 does not include the pipeline ID of the leaking pipeline and the latitude and longitude of the leaking pipeline. The method for creating pipeline network data with a leakage accident history according to this embodiment includes a step (step S3) of selecting a plurality of provisional candidate pipelines within a predetermined distance d from the leakage accident occurrence location 47 in the pipeline network map 45 from the plurality of pipelines, a step (step S4) of selecting a plurality of candidate pipelines having first attribute data 33 closest to the second attribute data 37 of the leaking pipeline from the plurality of provisional candidate pipelines, and a step (step S5) of specifying the candidate pipeline closest to the leakage accident occurrence location 47 among the plurality of candidate pipelines as the leaking pipeline.

[0072] The method for creating pipeline network data with a leakage accident history according to this embodiment includes a step of selecting a plurality of provisional candidate pipelines from a plurality of pipelines (step S3), a step of selecting a plurality of candidate pipelines from the plurality of provisional candidate pipelines (step S4), and a step of identifying, as a leakage pipeline, the candidate pipeline closest to the leakage accident occurrence point 47 among the plurality of candidate pipelines (step S5). Therefore, even if the pipeline ID, which is the identifier of the leakage pipeline, is missing and the identification of the address of the leakage pipeline is insufficient, the leakage pipeline can be identified with higher accuracy. Since the leakage pipeline is identified using a computer instead of manual work, there are no human errors and the leakage pipeline can be identified quickly. Also, by the step of selecting a plurality of provisional candidate pipelines from a plurality of pipelines (step S3), the step of selecting a plurality of candidate pipelines from the plurality of provisional candidate pipelines (step S4), and the step of identifying, as a leakage pipeline, the candidate pipeline closest to the leakage accident occurrence point 47 among the plurality of candidate pipelines (step S5), the candidate pipelines for the leakage pipeline are narrowed down step by step. Therefore, even if the pipeline network data 31 includes a large number of pipelines with the same attributes, the leakage pipeline can be identified quickly.

[0073] By using the pipeline network data 50 with a leakage accident history obtained by the method for creating pipeline network data with a leakage accident history according to this embodiment, it becomes possible to more quickly create a leakage accident prediction model, a pipeline maintenance plan, and a pipeline renewal plan with higher accuracy.

[0074] In the method for creating pipeline network data with a leakage accident history according to this embodiment, the first attribute data 33 includes the diameters, pipe materials, and laying years of a plurality of pipelines. The second attribute data 37 includes the diameter, pipe material, and laying year of the leakage pipeline.

[0075] Therefore, even if the pipeline ID, which is the identifier of the leakage pipeline, is missing and the identification of the address of the leakage pipeline is insufficient, the leakage pipeline can be identified with higher accuracy and more quickly. By using the pipeline network data 50 with leakage accident history obtained by the method for creating pipeline network data with leakage accident history according to the present embodiment, it becomes possible to more quickly create a leakage accident prediction model, a pipeline maintenance plan, and a pipeline renewal plan with higher accuracy.

[0076] In the method for creating pipeline network data with leakage accident history according to the present embodiment, the predetermined distance d is any distance between 50 m and 200 m.

[0077] Therefore, even if the pipeline ID, which is the identifier of the leakage pipeline, is missing and the identification of the address of the leakage pipeline is insufficient, the leakage pipeline can be identified with higher accuracy and more quickly. By using the pipeline network data 50 with leakage accident history obtained by the method for creating pipeline network data with leakage accident history according to the present embodiment, it becomes possible to more quickly create a leakage accident prediction model, a pipeline maintenance plan, and a pipeline renewal plan with higher accuracy.

[0078] The method for creating pipeline network data with leakage accident history according to the present embodiment further includes a step (step S6) of creating the pipeline network data 50 with leakage accident history by adding a leakage accident history indicating that a specified candidate pipeline among a plurality of pipelines is a leakage pipeline to the pipeline network data 31.

[0079] The pipeline network data 50 with leakage accident history including data of the leakage pipeline identified with higher accuracy can be provided to the customer. It becomes possible to more quickly create a leakage accident prediction model, a pipeline maintenance plan, and a pipeline renewal plan with higher accuracy.

[0080] In the method for creating pipeline network data with a leakage accident history according to the present embodiment, the pipeline network data 50 with a leakage accident history is a pipeline network data table 51 or a pipeline network map 52 with a leakage accident history, which includes the pipeline IDs, first attribute data 33, positions 34 of a plurality of pipelines, and a leakage accident history.

[0081] The pipeline network data 50 with a leakage accident history including data of the leakage pipeline specified with higher accuracy can be provided to customers in an easy-to-understand manner.

[0082] The program 55 according to the present embodiment causes the processor 12 to execute each step of the method for creating pipeline network data with a leakage accident history according to the present embodiment.

[0083] Therefore, even if the pipeline ID, which is an identifier of the leakage pipeline, is missing and the identification of the address of the leakage pipeline is insufficient, the leakage pipeline can be specified with higher accuracy and more quickly. By using the pipeline network data 50 with a leakage accident history obtained by executing the program 55 according to the present embodiment by the processor 12, it becomes possible to more quickly create a leakage accident prediction model, a pipeline maintenance plan, and a pipeline renewal plan with higher accuracy.

[0084] Hereinafter, various aspects of the present disclosure will be collectively described as appendices. (Appendix 1) A pipeline network map creation unit is provided for creating a pipeline network map by mapping a plurality of pipelines and a leakage accident occurrence location corresponding to the address of the leakage accident based on the positions of the plurality of pipelines and the address of the leakage accident. The pipeline network data includes the pipeline IDs, first attribute data, and positions of the plurality of pipelines. The positions of the plurality of pipelines include the latitude and longitude of the plurality of pipelines. The leakage accident data includes second attribute data of a leakage pipeline, which is the pipeline where the leakage accident occurred, and the address of the leakage accident. The leakage accident data does not include the pipeline ID of the leakage pipeline and the latitude and longitude of the leakage pipeline. A tentative candidate pipeline selection unit that selects a plurality of tentative candidate pipelines within a predetermined distance from the location of the water leakage accident in the pipeline network map from the plurality of pipelines; A candidate pipeline selection unit that selects a plurality of candidate pipelines having the first attribute data closest to the second attribute data of the water leakage pipeline from the plurality of tentative candidate pipelines; A water leakage accident history - attached pipeline network data creation device comprising a water leakage pipeline identification unit that identifies the candidate pipeline closest to the location of the water leakage accident among the plurality of candidate pipelines as the water leakage pipeline. (Appendix 2) The first attribute data includes the diameter, pipe material, and laying year of the plurality of pipelines; The second attribute data includes the diameter, pipe material, and laying year of the water leakage pipeline. The water leakage accident history - attached pipeline network data creation device according to Appendix 1. (Appendix 3) The predetermined distance is any distance between 50 m and 200 m. The water leakage accident history - attached pipeline network data creation device according to Appendix 1 or Appendix 2. (Appendix 4) A water leakage accident history - attached pipeline network data creation unit that creates water leakage accident history - attached pipeline network data by adding a water leakage accident history indicating that the identified candidate pipeline among the plurality of pipelines is the water leakage pipeline to the pipeline network data. The water leakage accident history - attached pipeline network data creation device according to any one of Appendices 1 to 3. (Appendix 5) The water leakage accident history - attached pipeline network data is a water leakage accident history - attached pipeline network data table or a water leakage accident history - attached pipeline network map including the pipeline ID, the first attribute data, the position of the plurality of pipelines, and the water leakage accident history. The water leakage accident history - attached pipeline network data creation device according to Appendix 4. (Appendix 6) Based on the positions of a plurality of pipelines and the address of the water leakage accident, mapping the plurality of pipelines and the water leakage accident occurrence location corresponding to the address of the water leakage accident to create a pipeline network map, the pipeline network data includes the 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 the 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, selecting a plurality of provisional candidate pipelines within a predetermined distance from the water leakage accident occurrence location in the pipeline network map from the plurality of pipelines; selecting a plurality of candidate pipelines having the first attribute data closest to the second attribute data of the leaking pipeline from the plurality of provisional candidate pipelines; A method for creating pipeline network data with water leakage accident history, comprising identifying the candidate pipeline closest to the water leakage accident occurrence location among the plurality of candidate pipelines as the leaking pipeline. (Appendix 7) The first attribute data includes the diameters, pipe materials, and laying years of the plurality of pipelines, The second attribute data includes the diameter, pipe material, and laying year of the leaking pipeline. The method for creating pipeline network data with water leakage accident history according to Appendix 6. (Appendix 8) The predetermined distance is any distance between 50 m and 200 m. The method for creating pipeline network data with water leakage accident history according to Appendix 6 or Appendix 7. (Appendix 9) The method for creating pipeline network data with water leakage accident history according to any one of Appendix 6 to Appendix 8 further comprises creating 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. (Appendix 10) The pipeline network data with leakage accident history is the pipeline network data table with leakage accident history or the pipeline network map with leakage accident history, which includes the pipeline ID, the first attribute data, the position of the plurality of pipelines, and the leakage accident history, of the method for creating pipeline network data with leakage accident history described in Supplementary Note 9. (Supplementary Note 11) A program that causes a processor to execute each step of the method for creating pipeline network data with leakage accident history described in any one of Supplementary Notes 6 to 10.

[0085] It should be considered that the embodiments and their modifications disclosed this time are illustrative in all respects and not restrictive. The scope of the present disclosure is shown by the scope of claims rather than the above description, and it is intended to include all changes within the meaning and scope equivalent to the scope of claims.

Explanation of Signs

[0086] 1, 1b Pipeline network data creation device with leakage accident history, 2 Pipeline network data creation system with leakage accident history, 3 Pipeline network data reception device, 4 Leakage accident data reception 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 reception section, 22 Leakage accident data reception section, 23 Pipeline network map creation section, 24 Temporary candidate pipeline selection section, 25 Candidate pipeline selection section, 26 Leakage pipeline identification section, 27 Pipeline network data creation section with leakage accident history, 30 Storage section, 31 Pipeline network data, 32 Pipeline network data table, 33 First attribute data, 34 Position, 36 Leakage accident data, 37 Second attribute data, 40 Map data, 45 Pipeline network map, 47 Leakage accident occurrence location, 48 Leakage pipeline identifier, 50 Pipeline network data with leakage accident history, 51 Pipeline network data table with leakage accident history, 52 Pipeline network map with leakage accident history, 55 Program.

Claims

1. A pipeline network map creation unit that creates a pipeline network map by mapping the plurality of pipelines and the location of a water leakage accident corresponding to the address of the water leakage accident based on the locations of the plurality of pipelines and the address of the water leakage accident. The pipeline network data includes the pipeline ID, first attribute data, and location of the plurality of pipelines. The locations of the plurality of pipelines include the latitude and longitude of the plurality of pipelines. The water leakage accident data includes the 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, nor the latitude and longitude of the leaking pipeline. A provisional candidate pipeline selection unit that selects a plurality of provisional candidate pipelines within a predetermined distance from the location of the water leakage accident in the pipeline network map from the plurality of pipelines. A candidate pipeline selection unit that selects a plurality of candidate pipelines having the first attribute data closest to the second attribute data of the leaking pipeline from the plurality of provisional candidate pipelines. A leaking pipeline identification device comprising a leaking pipeline identification unit that identifies the candidate pipeline closest to the location of the water leakage accident among the plurality of candidate pipelines as the leaking pipeline.

2. The first attribute data includes the diameter, pipe material, and laying year of the plurality of pipelines. The second attribute data includes the diameter, pipe material, and laying year of the leaking pipeline. The leaking pipeline network data creation device according to claim 1.

3. The predetermined distance is any distance between 50 m and 200 m. The leaking pipeline network data creation device according to claim 1 or claim 2.

4. The leaking pipeline network data creation device according to claim 1 or claim 2, further comprising a leaking pipeline network data creation unit that creates leaking 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.

5. The leaking pipeline network data with a water leakage accident history is a leaking pipeline network data table or a leaking pipeline network map including the pipeline ID, the first attribute data, and the location of the plurality of pipelines, and the water leakage accident history. The leaking pipeline network data creation device according to claim 4.

6. Based on the positions of the plurality of pipelines and the address of the water leakage accident, mapping the plurality of pipelines and the water leakage accident occurrence location corresponding to the address of the water leakage accident to create a pipeline network map. The pipeline network data includes the pipeline ID, the first attribute data, and the position of the plurality of pipelines. The positions of the plurality of pipelines include the latitude and longitude of the plurality of pipelines. The water leakage accident data includes the 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, and the latitude and longitude of the leaking pipeline. Selecting a plurality of provisional candidate pipelines within a predetermined distance from the water leakage accident occurrence location in the pipeline network map from the plurality of pipelines. Selecting a plurality of candidate pipelines having the first attribute data closest to the second attribute data of the leaking pipeline from the plurality of provisional candidate pipelines. A method for creating pipeline network data with water leakage accident history, comprising identifying the candidate pipeline closest to the water leakage accident occurrence location among the plurality of candidate pipelines as the leaking pipeline.

7. The first attribute data includes the diameter, pipe material, and laying year of the plurality of pipelines. The second attribute data includes the diameter, pipe material, and laying year of the leaking pipeline. The method for creating pipeline network data with water leakage accident history according to claim 6.

8. The predetermined distance is any distance between 50 m and 200 m. The method for creating pipeline network data with water leakage accident history according to claim 6.

9. The method for creating pipeline network data with water leakage accident history according to claim 6 further comprises 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 to create pipeline network data with water leakage accident history.

10. 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 ID, the first attribute data, and the position of the plurality of pipelines, and the water leakage accident history. The method for creating pipeline network data with water leakage accident history according to claim 9.

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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