JP6087072B2 - Water Information Asset Utilization Business Plan Management System - Google Patents

Description

  The present invention relates to a system and method for managing an information asset utilization business plan in a water supply business.

  With the development of IT technology, a large amount of data has been accumulated in the water supply business.

  In addition, the national ID system makes it possible to obtain various national information in cooperation. Then, various administrative services can be realized using such information.

  As an example of administrative services using various national information, Patent Literature 1 discloses a method for generating a public facility arrangement plan from resident information.

  Patent Document 2 discloses a method for evaluating public assets using user information.

Japanese Patent Laid-Open No. 08-110916 JP 2005-235164 A

  Patent Documents 1 and 2 disclose a method for deriving information on public facilities and assets using public information.

  However, Patent Documents 1 and 2 do not manage user satisfaction for each region, which is important in a water supply business that is one of public works dealing with public assets. In addition, according to the methods described in Patent Documents 1 and 2, it is not possible to obtain a drainage plan at the time of water outage / drought. In addition, the methods described in Patent Documents 1 and 2 do not take into account the plans of other infrastructure providers and future residents' trends regarding public facility planning.

  A typical example of the invention disclosed in the present application is as follows. In other words, it collects user intentions using a large amount of data held by the water utility and a plurality of information including inhabitants information, and simulates and presents an investment plan that matches the intentions of each region.

  Further, another representative example of the invention disclosed in the present application is as follows. That is, a facility plan is created based on other infrastructure equipment plans using a large amount of data held by the water utility and a plurality of information including resident information.

  Further, another representative example of the invention disclosed in the present application is as follows. In other words, a large amount of data held by a water utility and a plurality of information including inhabitant information are used, and important facilities are taken into consideration to generate and present a water supply restriction, water outage, and water distribution plan when water supply is difficult.

  Further, another representative example of the invention disclosed in the present application is as follows. In other words, a facility / repair plan is created based on the population trend prediction using a large amount of data held by the water utility and a plurality of information including residents information.

  According to a typical embodiment of the present invention, it is possible to form a consensus regarding how to use water charges by simulating and presenting an investment plan according to the intention of each region, thereby improving user satisfaction. Also, by creating a facility plan based on another infrastructure, for example, a facility plan of an electric power company, it is possible to negotiate a plan between infrastructures in addition to reflecting the facility plan in the water supply facility layout plan. In addition, taking into account important facilities, etc., by creating and presenting a water supply restriction / water outage / water supply distribution plan when water supply is difficult, it is possible to give careful consideration to the situation of facilities and users in disaster plans. In addition, by creating a facility / repair plan based on the prediction of residents' trends, it is possible to make more detailed predictions and considerations for facilities and users in water supply facility plans.

It is a figure which shows an example of a water supply information asset utilization business plan management method. It is a figure which shows an example of a structure of a water supply information asset utilization business plan management system. It is a figure which shows an example of a user request input screen. It is a figure which shows an example of user request data. It is a figure which shows an example of the budget coefficient data for every area. It is a figure which shows an example of the budget unit price data for every measure. It is a figure which shows an example for every area | region, and budget data. It is a figure which shows an example of an investment plan simulation result output screen. It is a figure which shows an example of resident activity information. It is a figure which shows an example of demand prediction data. It is a figure which shows an example of the priority data for every area. It is a figure which shows an example of a water supply vehicle dispatch plan. It is a figure which shows an example of inhabitant information. It is a figure which shows an example of important facility space information. It is a figure which shows an example of the prediction important facility number data for every area. It is a figure which shows an example of water supply equipment information. It is a figure which shows an example of an equipment plan. It is a figure which shows an example of an electric power equipment plan. It is a figure which shows an example of a water supply utilization condition. It is a figure which shows an example of a repair plan. It is a figure which shows the system configuration example of this invention. It is a figure which shows an example of a recording part.

  Embodiments of the present invention will be described below with reference to the drawings.

  First, processing and a system configuration example according to the embodiment of the present invention will be described with reference to FIGS. 21 and 2. FIG. 21 is a system configuration example of the present invention. This system includes a water information asset utilization business plan management system (2102) and a user terminal (2100), which are connected via a network (2101). The water information asset utilization business plan management system (2102) is a system including a processing unit (210) and a storage unit (200). The processing unit (210) includes an investment plan draft generation process (111), a regional simulation process (112), a demand prediction process (113), a supply priority prediction process (114), a water supply restriction / water supply water supply vehicle allocation plan. A plan creation process (115), a resident trend prediction process (116), an importance facility location prediction process (117), and an importance facility location prediction process (118) are executed. The storage unit (200) includes an input data recording unit (201), a generated data recording unit (202), and a program recording unit (203). The processing unit (210), the storage unit (200), and the input / output unit (220) for inputting the input data (201) and outputting the generated data (202) are connected by a communication path (230). . Each recording unit is realized by a storage device such as a magnetic disk device (Hard Disk Drive). The communication path (230) may be a network connecting other storage apparatuses. In that case, each recording unit may be a device connected to a network.

  Here, as shown in FIG. 22, the data recorded in the input data recording unit (201) includes user request information (100) including user request contents and user position information, and a traffic IC card. Resident activity information (101) representing resident behavior history such as history and mobile GPS information, resident information (102) including part or all of address, age, family structure, income, assets, etc., and public facilities such as city halls Important facility space information (103) including location information of important facilities such as hospitals and hospitals, water supply facility information (104) including location information of water supply facilities such as water treatment plants and drainage networks, and the amount of water distribution and period by region Includes water usage (105), including water consumption for each household, and power facility plan (109). The request content of the user request information (100) is input by the user via the user terminal and input to the input unit 220 via the network. Further, the user inputs his / her residence area number described in the map (304) shown in FIG. 3 into the screen 303 of the user terminal 2100. Other data (101, 102, 103, 104, 105, 109) is input in advance from the input / output unit (220) to the input data recording unit.

  FIG. 4 shows an example of user request information (100). The user request information (100) includes area information (401) and a request number (402).

  FIG. 9 shows an example of the resident activity information (101). The resident activity information (101) is composed of information on the area (900) where a resident was present.

  FIG. 13 shows an example of the resident information (102). The inhabitant information (102) is the inhabitant's population expressed by a budget coefficient for each region every year, and is composed of a year (1301), an area number (1302), and a budget coefficient (1303).

  FIG. 14 is a diagram showing an example of important facility space information (103). The important facility space information (103) indicates the number of important facilities such as hospitals for each region, and is composed of an area number (1401), a budget coefficient (1402), and the number of important facilities (1403).

  FIG. 16 is a diagram showing an example of water supply facility information (104). Water supply facility information (104) includes the area number (1601) where the water supply facility exists, the budget coefficient corresponding to the amount of water handled by the facility (1602), the power consumption per budget coefficient (1603), the next repair period (1604), the facility It consists of a unit price (1605).

  FIG. 19 shows an example of the water usage status (105). The water usage status (105) includes an area number (1901) and a water usage amount 600 (1902).

  FIG. 18 shows an example of the power equipment plan (109). The power equipment plan ((109)) is composed of a region number (1801) and a supplied power (1802).

  Further, as shown in FIG. 22, the data recorded in the generated data recording unit (202) includes water supply restriction / water cutoff / water vehicle distribution plan information (106), water supply plan information (107), and water supply repair plan information. (108) is included.

  FIG. 12 shows an example of water supply restriction / water cutoff / water vehicle allocation plan information (106). The water supply restriction / water cutoff / water vehicle allocation plan information (106) includes the order of allocation (1200).

FIG. 17 shows an example of water supply plan information (107). The water supply plan information (107) is composed of an area number (1701) and a budget amount (1702) for each area number.
FIG. 20 shows an example of the water facility repair plan information (108). The water facility repair plan information (108) includes the target area number (2000) of the repair plan.

  Further, as shown in FIG. 22, the program recording unit (203) includes an investment plan creation (111) program, an investment plan simulation (112) program, a demand prediction (113) program, a supply priority prediction (114) program, A water supply restriction / water outage / water vehicle distribution plan generation (115) program, a resident trend prediction (116) program, an importance facility location prediction program (117) an equipment / repair plan generation (118) program are included.

  FIG. 1 shows the flow of processing. First, the processing unit (210) reads the investment plan generation program 2211 stored in the program storage unit (203), so that the user request information (102) included in the input data (201) and the resident trend prediction are obtained. Investment plan generation (111) is performed using the predicted resident trends obtained by the resident trend prediction (116) using the program 2216. The investment plan proposal generation (111) is processed by the processing unit (210) using the investment plan proposal generation program 2211. Next, the processing unit (210) performs an investment plan simulation (112) for each region using the investment plan simulation program (2212) based on the generated investment plan. The processing unit (210) outputs the investment plan simulation result to the input / output unit 220 and outputs the result to the outside via the input / output unit (220). The output investment plan simulation result is presented to the user. The user is, for example, the user terminal 2100.

  In addition, the processing unit (210) reads the demand prediction program (203), thereby using the resident activity information (101) included in the resident activity information 2202 stored in the input data storage unit (201) to predict the demand for water supply. (113) is performed to obtain the predicted demand. In addition, the processing unit 210 uses the supply priority prediction program 2214 to perform supply priority prediction (114) based on the predicted resident trend obtained by the resident trend prediction (116), and sets the supply priority for each region. Ask. Further, the processing unit 210 uses the water supply restriction / water cut / water vehicle allocation plan generation program 2215 to determine the predicted demand obtained in the demand prediction (113) and the supply priority obtained in the supply priority prediction (114). Based on the water supply restriction / water outage / water supply vehicle dispatch plan generation (115) at the time of disaster / drought, a water supply restriction / water out / water supply vehicle assignment plan (106) is generated and stored in the generation data storage unit (202) To do.

  In addition, the processing unit (210) reads the resident trend prediction program (2216), thereby using the aged resident information (102) included in the resident information 2203 stored in the input data storage unit (201). Prediction (116) is performed. Further, the processing unit (210) includes the predicted resident trend obtained in the resident trend prediction (116), the important facility space information (103) included in the important facility space information 2204 stored in the input data storage unit (201), and The important facility layout prediction (117) is performed using. Further, the processing unit (210) reads the facility / repair plan draft generation program (2217), thereby predicting the resident trend obtained by the resident trend prediction (116) and the predicted important facility obtained by the important facility arrangement prediction (117). Arrangement, water supply information (104) included in the water supply information (2205) stored in the input data storage unit, water supply use status (105) included in the water supply use status 2206 stored in the input data storage unit, and Using the power equipment plan (109) included in the power equipment plan 2207 stored in the input data storage unit, the equipment plan (107) and the repair plan draft (108) are generated by the equipment / repair plan creation (118). Then, they are stored in the generated data storage unit as water supply facility plan (2209) and water facility repair plan information (2210), respectively.

  Next, an investment plan proposal generation (111) process using the investment plan proposal generation program (2211) will be described with reference to FIGS. First, the user (for example, the user of the user terminal) selects one request from the request items (302) described on the screen of the user terminal 2100 shown in FIG. 3 by clicking the button (301). . Further, the user inputs his / her residence area on the screen 303 of the user terminal 2100 shown in FIG. Here, the residence area is defined in advance as shown at 304, and the user views the map and inputs the area number. The input user request information (100) is input to the input / output unit 220 via the network, and is recorded in the input data recording unit 201 as the area information (401) and the request number (402) in FIG.

  The processing unit (210) has a budget coefficient (502) for each area number (501) indicating a budget coefficient for each area shown in FIG. 5, which is input in advance from the input / output unit (220) to the input data recording unit, From the budget unit price (602) for each measure number (601) indicating the budget unit price for each measure shown in FIG. 6, the measure (702) and the budget (703) for each region (701) shown in FIG. In the case of the examples shown in FIGS. 4 to 7, the residents of the region 12 (401) have requested “clean water”, which is the second request (402), and are necessary for the measure (advanced water treatment) of the request (601). A value (703) obtained by multiplying the budget unit price (602) by the budget coefficient 3 (502) of the region 12 (501) is recorded as a budget. When requests are input from a plurality of users in one area, the same calculation is performed for each request.

  Next, the process of the investment plan simulation for each region (112) performed using the investment plan simulation program 2212 will be described with reference to FIGS. In this embodiment, the processing unit (210) displays the state after the execution of the measure for each region shown in FIG. 8 based on the region number (701) and the measure number (702) shown in FIG. ) Is displayed on the screen of the waterworks management terminal. In the case of the example shown in FIG. 7, it can be expected that the water in the region 12 will be clean.

  Next, the process of the demand forecast (113) performed using the demand forecast program (2213) is demonstrated using FIG. The processing unit (210) is composed of an area number (1001) and an abundance (1002) indicating the area shown in FIG. 10 by counting the number of existence for each area from the resident activity information (101) of FIG. Calculate demand forecast data. In this case, the abundance, which is the demand forecast value, increases as the area has more residents in the past. In the case of the example shown in FIG. 9, since there are two data for the region 1 in the region 1 (1002), the region 2 is the region 2 and the region 12 is the region 2.

  Next, the processing of supply priority prediction (114) performed by executing the supply priority prediction program (2214) will be described with reference to FIGS. The processing unit obtains a priority (1102) for each area (1101) shown in FIG. 11 assuming that the area having a large budget coefficient (502) in FIG. 5 has a high priority. In the case of the example shown in FIG. 5, since the budget coefficient of the region 8 is the largest, and then the region 12 and the region 1 are the smallest, the priority as shown in 1102 is obtained.

  Next, with reference to FIGS. 10 to 12, the processing of water supply restriction / water outage, water vehicle distribution plan generation (115) performed by executing the water supply restriction / water outage / water vehicle distribution plan generation program (2215) is performed. explain. In the present embodiment, a method for determining the order of water supply vehicle allocation for each region is shown, but the same method can be used for determining the order of water supply restriction or water cutoff. In that case, however, the order of dispatch and the order of water supply restriction / water outage are reversed. First, referring to FIGS. 10 and 11, the processing unit (210) determines the order of dispatch (1200) so as to perform dispatch from an area where the demand forecast value (1002) is large, and stores it in the generated data recording unit. . If the demand prediction values are equal, the dispatch order (1200) is determined so that the dispatch is performed in descending order of priority (1102). In the example shown in FIGS. 10 and 11, in the order of allocation (1200) in the water supply vehicle allocation plan (106), the region 8 with the smallest demand forecast value (1002) comes last, and regions 1 and 12 with the largest value are shown. Then, the region 12 with the higher priority (1102) is the first. When the water supply is restricted or the water supply is cut off, the water supply vehicles may be allocated according to the order of the vehicle allocation plan (106).

  Next, with reference to FIGS. 5 and 13, the process of the resident trend prediction (116) performed by executing the resident trend prediction program (2216) will be described. The budget coefficient (1303) in the present example is a value obtained by dividing the number of inhabitants in the area in that year by 100 and rounding off the decimals. The processing unit (210) extrapolates the budget coefficient for the current fiscal year from the budget coefficients for the previous year and the previous year for each region from the information in FIGS. 5 and 13. In the case of the example shown in FIG. 13, the budget coefficient of the region 12 is increased by 1 from 2010 to 2011. Therefore, the budget coefficient in 2012 is expected to be 3 as indicated by 502.

  Next, the important facility location prediction (117) process performed by executing the important facility location prediction program will be described with reference to FIGS. The processing unit obtains the predicted number of important facilities (1502) for each region (1501) shown in FIG. 15 from the ratio between the budget coefficient (1402) shown in FIG. 14 and the predicted budget coefficient (502) shown in FIG. In the case of the example shown in FIGS. 5 and 14, 4 (1403) × (3 (502) / 2 (1402) = 6 (1502) is obtained.

  Next, the processing of the equipment plan draft generation (118) performed by executing the equipment / repair plan draft generation program (2217) will be described with reference to FIGS. The processing unit (210) compares the budget coefficient (1602) and the predicted budget coefficient (502). If the predicted budget coefficient (502) is larger than the budget coefficient (1602), the region shown in FIG. (1701) A budget coefficient difference facility plan (107) composed of the budget amount (1702) for each (1701) is generated. At this time, the processing unit (210) refers to the power facility plan (109) for each area shown in FIG. 18 and confirms that the power supply plan value is smaller than the planned power supply value. If a power supply larger than the planned power supply value is required, it is necessary to negotiate with the power company. In the case of FIGS. 5 and 16, the forecast budget coefficient 3 (502) of the area 12 (501) is larger than the current budget coefficient 2 (1602) of the area 12 (1601). 1.4 million yen (1702), which is the product of the budget coefficient difference 1 and the equipment unit price (1604), is recorded as the equipment plan. In addition, the power consumption is 3 (502) × 200 (1603) = 600 as a whole, which is smaller than the supply power 800 (1802) of the region 12 (1801), so that there is no shortage of supply. In the present embodiment, if the supply is insufficient, a message to that effect is displayed to the user on the screen of the water station management terminal in the input / output unit (220). The area (1701) and the budget (1702) obtained from the above are displayed on the screen of the management terminal of the water station in the input / output unit (220). As a result, budgeting for equipment planning can be performed automatically.

  Next, the repair plan generation (118) process performed by executing the equipment / repair plan generation program 2217 will be described with reference to FIG. First, the processing unit (210) adds the area 12 (1601) in which the next repair time (1604) of the water supply facility information (FIG. 16) is before the year of preparation of the repair plan to the repair plan. In the example shown in FIG. 16, the area 12 is added to the repair plan for 2012 (FIG. 20) (2000). Furthermore, in the water supply usage situation (105) shown in FIG. 19, when the water supply usage 600 (1902) in the region 12 (1901) is a certain amount 500 or more, it is added to the repair plan. In the case of the example shown in FIG. 19, since the amount of water used is larger than 500, the region 12 is added to the repair plan (FIG. 20) (2000) even in the 2011 plan. From the above, the repair area (2000) in the repair plan creation year is displayed on the screen of the management terminal of the water station having the input / output unit (220). As a result, the area to be repaired in the repair plan creation year can be automatically obtained.

Claims (1)

A water supply information asset utilization business plan management system having an input / output unit for inputting / outputting data, a storage unit for recording data and a program, and a processing unit for executing the program,
The processor is
Using the program, resident trend prediction is obtained using resident information that is data read from the storage unit, and important facility space information and resident trend prediction that is data read from the storage unit is used. For the important facility placement forecast,
Using the program, the obtained resident trend prediction, the obtained important facility layout prediction, the water facility information and the water usage information that are data read from the storage unit, and the data read from the storage unit First, a facility plan is generated from the power facility plan, and if the generated facility plan requires more power than the power supply plan value of the power facility plan, supply shortage is A water information asset utilization business plan management system characterized by being displayed on the management screen of a certain water department.

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