JP7143542B1 - Infiltration Estimation System, Method, and Program for Divided Sewer - Google Patents

Abstract

A technique is provided for increasing the accuracy of estimating a location where water has entered a separate sewage pipe. An infiltration water estimation system for estimating infiltration water generated in a plurality of areas during rainy weather includes acquisition means for acquiring hourly rainfall amounts in each area, and wastewater flowing into a sewage treatment plant from a plurality of areas. Measuring means for measuring the amount of inflow at each hour; Calculation means for calculating the difference between the amount of inflow during fine weather and the amount of inflow during rainy weather as the total amount of infiltration; Means for grasping the amount of inflow on holidays and holidays, means for calculating the total amount of rainfall in each area by accumulating the amount of rainfall in each area, and calculating the total amount of infiltration water for each hour within a specific time after the start of rainfall. The value that specifies the amount of infiltration water in each area is obtained from the means to determine the amount of infiltration water for each day of the week and weekends and holidays, the total amount of rainfall in each area, and the time relationship before and after the rainfall. and means for estimating the area. [Selection drawing] Fig. 1

Description

TECHNICAL FIELD The present invention relates to a technique for estimating a rainwater intrusion point into a separate sewage pipe.

Rainwater collected on the ground by rainfall flows into rivers along various routes. Patent Literature 1 discloses a system that obtains information for associating rainfall information with rising river water levels and predicting flood damage and the like. In addition, rainwater flows not only into rivers but also into separate sewage pipes, which are not originally intended to combine rainwater, increasing the total amount of flow to be treated by sewage treatment facilities. Patent Literature 2 discloses a system for estimating from which region unexpected intrusion water is generated.

JP 2020-085441 A Japanese Patent No. 5574769

In order to grasp the point where unknown water is generated, it is necessary to collect and analyze the sewer burial status, the operation data of the sewage treatment plant, or the flow measurement data for investigation, etc., and narrow down the point where the unknown water is generated. investigation requires a lot of effort, time and cost. For example, it is necessary to install measuring instruments to measure the flow rate at multiple points in the sewage pipe. With the estimation method described in Patent Document 2, it is difficult to increase the estimation accuracy, and there is room for improvement.

SUMMARY OF THE INVENTION The present invention has been made in view of the above circumstances, and an object of the present invention is to provide a technique for increasing the accuracy of estimating the location of water entering a separate sewage pipe.

An infiltration water estimation system according to one aspect of the present invention includes:
An infiltration water estimation system for estimating infiltration water generated in a plurality of areas during rainy weather,
Acquisition means for acquiring hourly rainfall in each area;
a measuring means for measuring the amount of sewage flowing into the sewage treatment plant from the plurality of zones at each time;
Calculation means for calculating the difference between the inflow amount during fine weather and the inflow amount during rainy weather as the total amount of infiltrated water;
means for grasping the amount of inflow on weekdays and on weekends and holidays among the inflow;
means for calculating the total amount of rainfall in each area by accumulating the amount of rainfall falling in each area;
means for calculating the total amount of infiltrated water for each time within a specific time after the start of rainfall;
From the total amount of infiltration water on weekdays and holidays, the total rainfall amount in each area, and the time relationship before and after the rainfall, determine the value that specifies the amount of infiltration water in each area, and estimate the area where infiltration water occurs from this value. means and
A system for estimating water infiltration into a separate sewage pipe characterized by comprising:

A method for estimating infiltration water according to one aspect of the present invention includes:
A method for estimating infiltration water generated in a plurality of areas during rainy weather, comprising:
an obtaining step of obtaining the rainfall amount of each area for each hour;
a measuring step of measuring an inflow amount of sewage flowing into the sewage treatment plant from the plurality of zones at each time;
a calculation step of calculating the difference between the amount of inflow during fine weather and the amount of inflow during rainy weather as the total amount of infiltrated water;
a step of grasping the amount of inflow on weekdays and weekends and holidays among the inflow;
a step of accumulating the amount of rainfall falling in each area to determine the total amount of rainfall in each area;
a step of calculating the total amount of infiltrated water for each time within a specific time after the start of rainfall;
A process of obtaining a value that specifies the amount of infiltration in each area from the total amount of infiltration for each day of the week, weekends and holidays, the total amount of rainfall in each area, and the time relationship before and after the rainfall, and estimating the area where inundation occurs from this value. When,
A method for estimating water infiltration into a separate sewage pipe, comprising:

A program according to one aspect of the present invention comprises:
A program that functions on a computer on an infiltration estimation system for estimating infiltration occurring in multiple areas during rainy weather,
an obtaining step of obtaining the rainfall amount of each area for each hour;
a measuring step of measuring an inflow amount of sewage flowing into the sewage treatment plant from the plurality of zones at each time;
a calculation step of calculating the difference between the amount of inflow during fine weather and the amount of inflow during rainy weather as the total amount of infiltrated water;
a step of grasping the amount of inflow on weekdays and weekends and holidays among the inflow;
a step of accumulating the amount of rainfall falling in each area to determine the total amount of rainfall in each area;
a step of calculating the total amount of infiltrated water for each time within a specific time after the start of rainfall;
A process of obtaining a value that specifies the amount of infiltration in each area from the total amount of infiltration for each day of the week, weekends and holidays, the total amount of rainfall in each area, and the time relationship before and after the rainfall, and estimating the area where inundation occurs from this value. When,
This is a program for estimating infiltration water into a separate sewage pipe for executing the computer.

Moreover, the present invention can also be regarded as a computer-readable recording medium in which the above program is recorded non-temporarily. It should be noted that each of the means and processes described above can be combined with each other as much as possible to constitute the present invention.

ADVANTAGE OF THE INVENTION According to this invention, the technique which raises the estimation precision of the generation|occurrence|production part of the infiltration water to a separate sewage pipe can be provided.

FIG. 1 is an explanatory diagram of the infiltration water estimation system according to the first embodiment. FIG. 2 is a diagram showing the relationship between the amount of rainfall and the amount of infiltration water. FIG. 3 is a block diagram showing the configuration of the processing device. FIG. 4 is a functional block diagram of the infiltration water estimation system according to the first embodiment. FIG. 5 is an explanatory diagram of rainfall data set as dummy data. FIG. 6 is a diagram showing the ranking of a plurality of processing divisions. FIG. 7 is a schematic diagram of a predetermined target area divided by meshes. FIG. 8 is a flowchart showing an example of the processing flow of the infiltration water estimation system according to the first embodiment. FIG. 9 is a diagram showing the correspondence relationship between the amounts of direct infiltration water, indirect infiltration water, and the total amount of infiltration water. FIG. 10 is a functional block diagram of an infiltration water estimation system according to the second embodiment. FIG. 11 is a flowchart showing an example of the processing flow of the infiltration water estimation system according to the second embodiment.

Embodiments will be described below with reference to the drawings. The embodiments shown below are aspects of the present application and do not limit the scope of rights of the present application.

<First Embodiment>
FIG. 1 is an explanatory diagram of the infiltration water estimation system according to the first embodiment. The infiltration water estimation system 10 is a system that has a processing device 1 and estimates the infiltration water that occurs in a plurality of areas during rainy weather. The infiltration water estimation system 10 assumes a separate sewer system in which sewage and rainwater flow down separate pipes. The sewage pipe 2 has a sewage pipe 3 through which sewage flows and a rainwater pipe 4 through which rainwater flows. Sewage generated from homes, businesses, etc. in a plurality of areas flows through a sewage pipe 3 and flows into a sewage treatment facility (sewage treatment plant) 5 . The sewage that has flowed into the sewage treatment facility 5 is treated in the sewage treatment facility 5 and discharged into a river or the like. Rainwater flows through the rainwater pipe 4 and is discharged directly into a river or the like. In a separate sewer system, sewage is discharged to a sewage treatment plant and storm water is discharged directly into rivers or the sea. Since sewage and rainwater are collected in separate pipes, the water quality of the river is protected, and it is an excellent system in terms of both the environment and hygiene.

During fine weather, only sewage flows through the sewage pipe 3 and into the sewage treatment facility 5 . In rainy weather, in addition to sewage, rainwater that should not flow together may flow into the sewage pipe 3 and then into the sewage treatment facility 5 . When the sewage pipe 3 is damaged, the rainwater that has entered the soil flows into the sewage pipe 3 from the damaged portion of the sewage pipe 3, and the rainwater mixes with the sewage flowing through the sewage pipe 3. - 特許庁The infiltration water from this damaged part is defined as indirect infiltration water. Moreover, when the rainwater pipe 4 is incorrectly connected to the sewage pipe 3, rainwater flows into the sewage pipe 3 from the rainwater pipe 4, and the rainwater mixes with the sewage flowing through the sewage pipe 3. - 特許庁The rainwater that has flowed into the sewage pipe 3 flows through the sewage pipe 3 and flows into the sewage treatment facility 5 . In this specification, the rainwater that has flowed into the sewage pipe 3 is called infiltrated water. This infiltrating water is also called unknown water. Rainwater that enters the sewage pipe 3 from the rainwater pipe 4 due to misconnection or the like is defined as direct infiltration water. In a separate sewage system, rainwater is separated from the rainwater, so rainwater that is not originally intended flows into the sewer pipes, exceeding the treatment capacity of the sewage treatment plant and being discharged into rivers without being sufficiently treated. Become. The purpose of this system is to estimate the areas where these infiltration waters occur.

Observation device 6 observes the amount of rainfall in a plurality of areas. The processing device 1 acquires rainfall data for each zone from the observation device 6 in units of specific time. A measurement sensor 7 measures the total inflow of sewage from multiple zones entering the sewage treatment plant 5 . The treatment device 1 acquires the inflow of sewage from the measurement sensor 7 .

FIG. 2 is a diagram showing the relationship between the amount of rainfall and the amount of infiltration water. The vertical axis of the graph indicates water volume, and the horizontal axis indicates time. Infiltration water is generated by rainfall, but the amount of infiltration water (the amount of infiltration water in rainy weather) is affected by factors such as soil permeation and differences in the time it takes to reach pipes due to rainfall conditions. As shown in Fig. 2, the time of the peak of the rainfall amount and the peak amount of infiltration water do not coincide, and what is characteristic is that the infiltration water infiltrates after the passage of time from the start of rainfall. Similarly, the inflow of infiltration water continues for some time after the rainfall ends.

FIG. 3 is a block diagram showing the configuration of the processing device 1. As shown in FIG. The processing device 1 includes a control device 11 , a communication interface (IF) device 12 , a storage device 13 , an input device 14 and a display device 15 . The processing device 1 includes hardware resources such as a processor (CPU), memory, and storage. The memory may be RAM. The storage may be a non-volatile storage device (eg, ROM, flash memory, etc.). The function of each processing means (functional unit) of the processing device 1 is realized by developing a program stored in a storage in a memory and executing the program by a processor. In addition, the structure of the processing apparatus 1 is not restricted to these. For example, all or part of the functions may be configured by a circuit such as ASIC or FPGA, or all or part of the functions may be executed by a cloud server or other device.

The communication interface device 12 communicates with the observation device 6 and the measurement sensor 7 . It should be noted that the data may be obtained not directly from the observation device 6 or the measurement sensor 7, but via a cloud server or a control device that stores the rainfall amount and total water flow data obtained from them. The storage device 13 stores various information and various data. The input device 14 may be composed of input devices such as a keyboard, a mouse, operation buttons, and a touch panel. The display device 15 is, for example, a liquid crystal display, a plasma display, an organic EL (Electro Luminescence) display, or the like.

The control device 11 includes rainfall data acquisition means 101, flow rate measurement means 102, first inundation amount calculation means 103, total rainfall amount calculation means 104, second inundation amount calculation means 105, and estimation means 106. , have Not all the components shown in FIG. 3 are essential in the control device 11, and the components of the control device 11 may be added or deleted as appropriate. Also, the constituent elements of the control device 11 may be combined as appropriate.

The rainfall data acquisition means 101 acquires rainfall data of each area. For example, an area of interest is divided into multiple zones. The region of interest may be delimited by a mesh. The rainfall data acquisition means 101 may acquire rainfall data for each time (hour) of each zone. The hourly rainfall data is rainfall data from a predetermined time (for example, 13:00) to a predetermined time (for example, 14:00). The rainfall data acquisition means 101 may acquire rainfall data per unit time within a certain period of time from the start of rainfall for each area. The fixed time is an arbitrary time and can be changed. Also, in this specification, "every time" may be read as "per unit time". The rainfall data acquisition means 101 may acquire rainfall data directly from the observation device 6, or indirectly acquire rainfall data provided by a public institution such as the Meteorological Agency or rainfall data provided by a private institution. may be acquired on a case by case basis. The rainfall data acquisition means 101 stores the acquired rainfall data in the storage device 13 .

The rainfall data acquisition means 101 extracts rainfall data for each day of the week from the rainfall data stored in the storage device 13 . Also, the rainfall data acquisition means 101 extracts the rainfall data of weekends and holidays from the rainfall data stored in the storage device 13 as well. The rainfall data acquisition means 101 stores the rainfall data for each weekday on weekdays and the rainfall data for Saturdays, Sundays, and holidays in the storage device 13 again. As a result, the rainfall data for each day of the week on weekdays and weekends and holidays are stored in the storage device 13 in a labeled state.

The flow rate measuring means 102 measures the inflow amount of sewage flowing into the sewage treatment facility 5 from a plurality of areas based on the inflow amount of sewage measured by the measurement sensor 7 (hereinafter simply referred to as "inflow amount of sewage"). ). The flow rate measuring means 102 may acquire the inflow amount of sewage for each time as the inflow amount data of sewage. The inflow amount of sewage per hour is the inflow amount of sewage from a predetermined time (for example, 13:00) to a predetermined time (for example, 14:00).

The flow rate measuring means 102 acquires sewage inflow rate data when the inflow rate of sewage is a steady rate, and sewage inflow rate data when the inflow rate of sewage exceeds the steady rate. More specifically, when the weather is fine, the sewage flowing into the sewage treatment facility 5 does not contain rainwater, so the inflow of sewage can be defined as a constant amount. On the other hand, when it rains, sewage flowing into the sewage treatment facility 5 contains rainwater, so the amount of inflow of sewage exceeds the steady amount. Since the amount of sewage inflow fluctuates depending on the day of the week, weekends and holidays, the constant amount is set as a value that fluctuates according to the day of the week, weekends and holidays. This is because the amount of miscellaneous wastewater that people live in varies between weekdays and weekends and holidays. Note that the amount used varies greatly. The flow rate measuring means 102 acquires the inflow rate of sewage when the inflow rate of sewage is a constant amount as the inflow rate data of sewage in fine weather. The flow rate measuring means 102 acquires sewage inflow rate data during rainy weather by measuring the inflow rate of sewage from the start of rainfall. The water flow measuring means 102 may measure the inflow of sewage at each hour during rainy weather. The water flow measuring means 102 measures the amount of inflow of sewage within a specific period of time from the start of rain (from the start of rain until a predetermined period of time has elapsed), thereby obtaining data on the amount of inflow of sewage during rainy weather. good. The water flow rate measuring means 102 may measure the inflow rate of sewage at each time point within a specific period of time from the start of rainfall. The water flow measuring means 102 stores in the storage device 13 the data of the inflow of sewage in fine weather and the data of the inflow of sewage in rainy weather.

The water flow measuring means 102 extracts inflow data for each day of the week from the water flow stored in the storage device 13 . The inflow data for each day of the week on weekdays includes inflow data for each day of the week during fine weather and inflow data for each day of the week during rainy weather. In addition, the water flow measuring means 102 extracts the inflow data for weekends and holidays from the water flow stored in the storage device 13 . The inflow data on Saturdays, Sundays, and holidays includes inflow data on Saturdays, Sundays, and holidays when the weather is fine, and inflow data on the weekends and holidays when the weather is rainy. The water flow measuring means 102 stores again the inflow data for each day of the week on weekdays and the inflow data for weekends and holidays in the storage device 13 . As a result, the inflow data for each day of the week on weekdays and weekends and holidays are stored in the storage device 13 in a labeled state.

The first infiltration amount calculation means 103 calculates the difference between the inflow amount of sewage in fine weather and the inflow amount of sewage in rainy weather as the total amount of infiltration water. The first infiltration amount calculation means 103 calculates the difference between the inflow amount of sewage during a predetermined period of fine weather and the inflow amount of sewage during a predetermined period of rainy weather among the inflow amount of sewage in a predetermined period. may be calculated as the total amount of The first infiltration amount calculation means 103 stores the total amount data of infiltration water for a predetermined period in the storage device 13 .

The first inundation amount calculation means 103 grasps the inflow amount of sewage on weekdays and the inflow amount of sewage on weekends and holidays among the inflow amount of sewage. The first inundation amount calculation means 103 calculates the difference between the inflow amount of sewage in fine weather for each day of the week on weekdays and the inflow amount of sewage for each day in rain on weekdays as the total amount of infiltration water for each day of weekday. You may The first inundation amount calculation means 103 calculates the difference between the inflow amount of sewage in sunny weather for each weekend and holiday and the inflow amount of sewage in rainy weather for each weekend and holiday as the total amount of infiltration water for each weekend and holiday. good. The first infiltration amount calculation means 103 stores in the storage device 13 the total infiltration water amount data for each day of the week on weekdays and the total infiltration water amount data for each Saturday, Sunday and public holiday.

The first infiltration amount calculation means 103 may calculate the difference between the inflow amount of sewage for each hour in fine weather and the inflow amount of sewage for each hour in rainy weather as the total amount of infiltration water for each hour. The first infiltration amount calculation means 103 calculates the total amount of infiltration water for each time by comparing the inflow amount of sewage in fine weather and the inflow of sewage in rainy weather for the same time period on the same day of the week. good too. In addition, the first infiltration amount calculation means 103 calculates the total amount of infiltration water for each hour by comparing the inflow amount of sewage in fine weather and the inflow of sewage in rainy weather for the same time slot on a holiday. may

The total rainfall amount calculation means 104 integrates the amount of rainfall in each area within a specific time period to calculate the total amount of rainfall in each area. The total rainfall calculation means 104 stores the total rainfall data in each area in the storage device 13 .

The second inundation amount calculation means 105 calculates the total amount of infiltration water for each time within a specific time period after the start of rainfall. The estimating means 106 obtains a value that specifies the amount of infiltration water in each area from the total amount of infiltration water for each day of the week and weekends and holidays, the total rainfall amount in each area, and the time relationship before and after the rainfall, and determines the occurrence of infiltration water from this value. Estimate the area to be The estimating means 106 estimates from which of the plurality of areas the infiltrated water has flowed into the sewage treatment facility 5 . The estimating means 106 may estimate one of a plurality of areas as the area where infiltration water is occurring, or estimate two or more of the plurality of areas as areas where infiltration water is occurring. You may The estimating means 106 may use multiple regression analysis to estimate areas where infiltration water is occurring.

The estimating means 106 may use an estimating model learned by deep learning or the like to estimate an area where infiltration water occurs. FIG. 4 is a functional block diagram of the infiltration water estimation system 10 according to the first embodiment. As shown in FIG. 4, by inputting the inflow data for each time and for each day of the week on weekdays and weekends and holidays and the rainfall data for each time to the day-of-the-week discharge prediction model 110, which is the generated estimation model, The estimation accuracy of means 106 is improved. Also, the estimation means 106 may function as an estimation model.

The inflow data for each day of the week on weekdays and weekends and holidays are stored in the storage device 13 in a labeled state. Inflow data for each day of the week and weekends and holidays are extracted from the storage device 13 , and the inflow data for each day of the week and weekends and holidays are input to the day-of-the-week flow prediction model 110 . Total rainfall data for each zone is stored in the storage device 13 . The rainfall amount data for each hour is extracted from the storage device 13 and the rainfall amount data for each hour is input to the day-of-the-week flow prediction model 110 . Also, the rainfall amount data for each hour is used as rainfall occurrence data for determining whether or not it rains at the corresponding hour. The rainfall occurrence data is also used as a trigger for difference calculation. A difference calculation result between the inflow amount of sewage in fine weather and the inflow amount of sewage in rainy weather is input to the day-of-the-week flow prediction model 110 . The day-of-the-week flow rate prediction model 110 performs a process of estimating the infiltration water amount.

Dummy data may be applied to the estimation model to improve the accuracy of the estimation model. An example of dummy data will be described with reference to FIG. FIG. 5 is an explanatory diagram of rainfall data set as dummy data. FIG. 5(a) shows a state in which the entire target area (whole processing area) is divided into small sections (small sections). In the example shown in FIG. 5, the entire processing area is divided into 20 processing divisions (areas), but the area is not limited to the example shown in FIG. 5, and the entire area may be divided into other number of processing divisions. As shown in (b) and (c) of FIG. 5, heavy rainfall with a large amount of rainfall is selected for one of the plurality of treatment divisions, and light rainfall with a small amount of rainfall is set for the other treatment divisions. In (b) of FIG. Heavy rainfall is set to No. 1, and processing division No. 1 is set. Light rain is set for 2 to 20. In (c) of FIG. Heavy rainfall is set to No. 2, and processing division No. 2 is set. Light rain is set for 1, 3 to 20. Hereafter, processing section No. For 3 to 20, the process of setting heavy rainfall in one of the plurality of processing divisions and setting light rainfall in the other processing divisions is repeated. In this way, the amount of rainfall set as dummy data is set so that when one section with heavy rainfall is selected for a plurality of processing sections, the other processing sections are set with light rainfall. The amount of heavy rainfall is set larger than the amount of small rainfall. The rainfall duration of heavy rainfall is set shorter than the rainfall duration of minor rainfall.

A plurality of dummy data set as described above are input to the estimation model, and inflow data for each day of the week and rainfall data for each hour are input to the estimation model to calculate the amount of infiltration water. By setting one of the multiple treatment divisions to heavy rainfall and setting the other treatment divisions to light rainfall in sequence for all treatment divisions, the amount of infiltration for all treatment divisions is calculated. . The amount of infiltration water in the treatment division may be the amount of infiltration water per unit area of the treatment division (drainage area) during rainy weather (m ³ /ha). By calculating and comparing the infiltration water amounts of the plurality of treatment divisions, the inundation amount order of the plurality of treatment divisions is determined.

Fig. 6 shows the relationship between the inundation amount ranking of multiple treatment divisions determined based on the amount of infiltration water calculated by the estimation model and the inundation amount ranking of multiple treatment divisions determined based on the infiltration amount in the statistical data. It is a diagram. This is a comparison between the statistical data of the actual measurement and the estimated results obtained by actually installing multiple water flow rate measuring devices on the flow path of the sewage pipe in a specific area of the Kanto area. Statistical data of actual measurements are also used as teacher data and verification data in machine learning. In Fig. 6, the solid lines connect the ranking of multiple treatment zones determined based on the amount of infiltration calculated by the estimation model, and the dotted lines connect the ranking of multiple treatment zones determined based on the amount of infiltration in the statistical data. . As shown in Fig. 6, there is almost no difference between the ranking of multiple treatment zones determined based on the amount of infiltration calculated by the estimation model and the ranking of multiple treatment zones determined based on the amount of infiltration in the statistical data. The result is that there is no Since there is no large deviation between the estimation result calculated by the estimation model and the statistical result, it can be understood that the estimation accuracy of the estimation model is high and the estimation model is appropriate.

FIG. 7 is a schematic diagram of a predetermined target area divided by meshes. A flow meter for measuring the flow rate of sewage flowing through the sewage pipe 3 is installed at each position indicated by the white circles in FIG. By measuring the flow rate of sewage measured by each flow meter, it was actually measured in which of the multiple areas the infiltration occurred. It was confirmed that the area where the infiltration water estimated by the estimating means 106 was generated and the area where the infiltration water was identified by the actual measurement matched.

FIG. 8 is a flow chart showing an example of the processing flow of the infiltration water estimation system 10 according to the first embodiment. In S<b>1 , the water flow measuring means 102 acquires sewage inflow data and stores the sewage inflow data in the storage device 13 . In S<b>2 , the water flow measuring means 102 extracts inflow data for each day of the week from the storage device 13 . In S3, the total rainfall calculation means 104 acquires the total rainfall data for each zone (subdivision) by accumulating the rainfall for each zone, and stores the total rainfall data for each zone in the storage device 13. memorize In S<b>4 , the rainfall data acquisition means 101 extracts rainfall data for each time zone from the storage device 13 .

In S<b>5 , the estimation means 106 inputs the inflow data for each day of the week and the rainfall data for each hour into the day-of-the-week flow prediction model 110 . At S<b>6 , dummy data is input to the day-of-the-week flow rate prediction model 110 . In S7, the estimating means 106 determines whether or not the application to all processing sections has been completed. When the process of creating dummy data by setting heavy rainfall in one of the plurality of processing divisions and setting light rainfall in other processing divisions has been performed for all processing divisions (S7; YES), Proceed to S8. On the other hand, if uncreated dummy data remains (S7; NO), the process proceeds to S6.

In S8, the first infiltration amount calculation means 103 performs difference calculation of infiltration water amount during rainy weather, calculates total infiltration water amount data for each day of the week on weekdays, and total infiltration water amount data for each Saturday, Sunday and public holiday, and stores them. 13. In S<b>8 , the estimation means 106 inputs the total amount data of the infiltrated water for each day of the week and weekends and holidays to the day-of-the-week flow prediction model 110 . In S<b>9 , the estimation means 106 acquires the estimated result of the infiltration water amount for each treatment section from the day-of-the-week flow rate prediction model 110 .

The estimating means 106 may compare the infiltration water amounts of the plurality of treatment divisions calculated by the day-of-week flow rate prediction model 110 to determine the order of the plurality of treatment divisions. The estimating means 106 compares the amount of infiltrated water in a plurality of treatment divisions with a threshold value. When the amount of infiltration water in at least one of the plurality of treatment divisions is equal to or greater than the threshold, the estimation means 106 estimates at least one of the plurality of treatment divisions as a treatment division in which infiltration water is occurring. The threshold is determined in advance by design, experiment, or simulation, and stored in the storage device 13 .

The control device 11 may display, on the display device 15, information about the amount of infiltrated water in a plurality of treatment zones, information about the treatment zone where infiltration water is occurring, and the like. Further, the control device 11 may display, on the external display device, information on the amount of infiltrated water in a plurality of treatment zones, information on treatment zones in which infiltration water is occurring, and the like.

According to the infiltration water estimation system 10 according to the first embodiment, the amount of infiltration water generated in an area (treatment division) in consideration of the inflow amount of sewage (domestic wastewater amount and industrial wastewater amount) that varies on weekdays, holidays and holidays , it is possible to estimate the amount of infiltration in multiple areas with high accuracy. Since the area where infiltration water is generated can be estimated with high accuracy, it is possible to efficiently repair the location where infiltration water is generated. Since it is sufficient to measure the amount of sewage flowing into the sewage treatment facility 5, there is no need to install measuring instruments such as flowmeters over a wide area, and costs can be reduced. In addition, by applying dummy data that sets heavy rainfall to specific processing divisions and small rainfall to other processing divisions, the accuracy of machine learning in the estimation model can be improved.

<Second embodiment>
An infiltration water estimation system according to the second embodiment will be described. In the second embodiment, the same reference numerals as in the first embodiment are assigned to the same constituent elements as in the first embodiment, and the description thereof will be omitted as appropriate.

Infiltrated water includes infiltrated water directly flowing into the sewage pipe 3 (hereinafter also referred to as direct infiltrating water) and infiltrating water indirectly flowing into the sewage pipe 3 (hereinafter also referred to as indirect infiltrating water). ) and are included. Direct infiltration water is, for example, infiltration water that unintentionally joins the sewage pipe 3 or infiltration water that flows into the sewage pipe 3 due to misconnection of the rainwater pipe 4 to the sewage pipe 3 . Indirect infiltration water is infiltration water that has flowed into the sewage pipe 3 from a damaged portion of the sewage pipe 3 . The arrival time from the start of rain until the direct infiltration water reaches the sewage treatment facility 5 differs from the arrival time from the start of rain until the indirect infiltration water reaches the sewage treatment facility 5 . This is based on the assumption that the direct and indirect infiltration sewage pipes are at approximately the same location. Direct infiltration water flows into the sewage treatment facility 5 for a certain period of time after the start of rainfall. Indirectly infiltrating water flows into the sewage pipe 3 after once entering and staying underground such as soil. Therefore, the infiltrated water that flows into the sewage treatment facility 5 within a certain period of time after the start of rain includes a large amount of water that directly infiltrates. The infiltration water flowing into 5 contains a large amount of indirect infiltration water.

FIG. 9 is a diagram showing the correspondence relationship between the amounts of direct infiltration water, indirect infiltration water, and the total amount of infiltration water. The vertical axis in FIG. 9 indicates the infiltration water amount, and the horizontal axis in FIG. 9 indicates time (time). A solid line L1 in FIG. 9 indicates the total amount of infiltration water, a solid line L2 in FIG. 9 indicates the amount of direct infiltration water, and a dotted line L3 in FIG. 9 indicates the amount of indirect infiltration water. The total amount of infiltration water is the sum of the amount of direct infiltration water and the amount of indirect infiltration water. As shown in FIG. 9, the amount of direct infiltration water is larger than the amount of indirect infiltration water up to a predetermined time T1, but after the predetermined time T1, the amount of indirect infiltration water becomes larger than the amount of direct infiltration water. The predetermined time T1 is, for example, a fixed time after the start of rainfall. Moreover, the time when the value of the direct water inundation amount L2 becomes 0 after the predetermined time T1 is the time when the rainfall has almost ended.

The arrival time for direct infiltration water to reach sewage treatment facility 5 after the start of rainfall is shorter than the arrival time for indirect infiltration water to reach sewage treatment facility 5 after the start of rainfall. For example, when the total amount of infiltrating water suddenly decreases after a certain period of time after the start of rainfall, it can be said that the ratio of the amount of direct infiltrating water to the total amount of infiltrating water is large. For example, when the total amount of infiltration water gradually decreases after a certain period of time after the start of rainfall, it can be said that the ratio of the amount of indirect infiltration water to the total amount of infiltration water is large.

The estimating means 106 estimates whether the infiltrating water in a specific period during and after rainfall is direct infiltrating water or indirect infiltrating water, based on the temporal change in the total amount of infiltrating water in the specific period during and after rainfall. The estimating means 106 calculates the ratio of the amount of direct infiltration to the total amount of infiltration in a specific period during and after rain, and and the ratio of the amount of indirect water infiltration to the total amount of water infiltration in a later period of time. The estimation means 106 may estimate the ratio of the amount of direct infiltration water and the ratio of the amount of indirect infiltration water using the day-of-week flow prediction model 110 . The estimating means 106 estimates whether infiltration water in a specific period during and after rainfall is direct infiltration water or indirect infiltration water based on the ratio of the amount of direct infiltration water and the ratio of the amount of indirect infiltration water. good.

Processing performed by the infiltration water estimation system 10 according to the second embodiment will be described with reference to FIGS. 10 and 11. FIG. FIG. 10 is a functional block diagram of the infiltration water estimation system 10 according to the second embodiment. As shown in FIG. 10, in the infiltration water estimation system 10 according to the second embodiment, estimation processing of direct infiltration water and indirect infiltration water is added as compared with the infiltration water estimation system 10 according to the first embodiment. there is

FIG. 11 is a flow chart showing an example of the processing flow of the infiltration water estimation system 10 according to the second embodiment. In S11 to S19 shown in FIG. 11, the same processes as S1 to S9 shown in FIG. 8 are performed. In S20, the estimating means 106 estimates the ratio of the amount of direct infiltration water and the ratio of the amount of indirect infiltration water based on the temporal change in the total amount of infiltration water during and after the rainfall. In S20, the estimating means 106 estimates whether the infiltration water in a specific period during and after rainfall is direct infiltration water or indirect infiltration water based on the ratio of the amount of direct infiltration water and the ratio of the amount of indirect infiltration water. do. The control device 11 may display, on the display device 15, information indicating that the infiltrating water during and after the rainfall is direct infiltrating water or indirect infiltrating water. In addition, the control device 11 may display, on the external display device, information indicating that the infiltrating water during and after the rainfall is direct infiltrating water or indirect infiltrating water. Any of machine learning such as statistical processing, multivariate analysis, and deep learning may be used for the estimation processing.

According to the infiltration water estimation system 10 according to the second embodiment, as in the first embodiment, considering the amount of sewage (domestic wastewater and industrial wastewater) that varies on weekdays and holidays and holidays, Since the amount of infiltration water generated in the area is estimated, it is possible to estimate the amount of infiltration water in multiple areas with high accuracy. Since the area where infiltration water is generated can be estimated with high accuracy, it is possible to efficiently repair the location where infiltration water is generated. Since it is sufficient to measure the amount of sewage flowing into the sewage treatment facility 5, there is no need to install measuring instruments such as flowmeters over a wide area, and costs can be reduced. In addition, by applying dummy data that sets heavy rainfall to specific processing divisions and small rainfall to other processing divisions, the accuracy of machine learning in the estimation model can be improved.

According to the infiltration water estimation system 10 according to the second embodiment, it is possible to grasp the ratio of the amount of direct infiltration water and the ratio of the amount of indirect infiltration water to the total amount of infiltration water in a specific period during and after rainfall. . According to the infiltration water estimation system 10 according to the second embodiment, it is possible to grasp whether infiltration water in a specific period during and after rainfall is direct infiltration water or indirect infiltration water. This makes it easier to narrow down the locations where infiltration water is generated in areas where infiltration water is occurring, and makes it possible to repair the locations where infiltration water is generated more efficiently.

<Modification>
An infiltration water estimation system 10 according to a modification will be described. The storage device 13 may store historical information on construction of the sewage pipe 3 . The storage device 13 is an example of a storage unit. The construction history information of the sewage pipe 3 includes the location and time of construction of the sewage pipe 3 in each area. The sewer pipe 3 construction history information may further include a sewer pipe 3 construction outline. The first inundation amount calculation means 103 calculates the total amount of infiltration water for each time within a predetermined period. The first infiltration amount calculation means 103 detects a change in the total amount of infiltration water for each time within a predetermined period. For example, if the difference between the total amount of infiltrated water at a first time within a predetermined period and the total amount of infiltrated water at a second time consecutive to the first time within a predetermined period is equal to or greater than a threshold, may have changed in the total amount of infiltrated water at the second time.

The first inundation amount calculation means 103 stores changes in the total amount of infiltration water for each hour in a predetermined period in the storage device 13 in association with construction history information. When the total amount of infiltrated water at the second time within the predetermined period has changed and the time of construction of the sewage pipe 3 and the second time within the predetermined period match or approximate each other, calculate the first inundation amount The means 103 may store the change in the total amount of infiltrated water at the second time in the predetermined period in the storage device 13 in association with the construction history information.

The storage device 13 may store soil change information. The soil change information includes the location and time when the soil change occurred in each area. The soil change information may further include information about the cause of the soil change. The causes of soil change are, for example, typhoons, heavy rains, river floods, and the like. The first inundation amount calculation means 103 stores changes in the total amount of infiltration water for each time in a predetermined period in the storage device 13 in association with soil change information. For example, when the total amount of infiltrated water at a second time within a predetermined period has changed, and the time at which the soil change occurred coincides or approximates the second time within the predetermined period, the first water infiltration amount The calculation means 103 may store the change in the total amount of infiltration water at the second time in the predetermined period in association with the soil change information in the storage device 13 .

The above process may be performed by the second water inundation amount calculation means 105 or may be performed by other calculation means different from the first water inundation amount calculation means 103 . The control device 11 may display, on the display device 15, information regarding changes in the total amount of infiltrated water for each hour within a predetermined period, and construction history information associated with the changes in the total amount of infiltrated water. The control device 11 may display, on the display device 15, information about changes in the total amount of infiltration water for each time period within a predetermined period, and soil change information associated with the changes in the total amount of infiltration water. Also, the control device 11 may display these information on an external display device.

According to the infiltration water estimation system 10 according to the modified example, it is possible to grasp how much the construction work of the sewage pipe 3 and soil changes affect the change in the total amount of infiltration water. If the total amount of infiltration water increases, there is a possibility that infiltration water is occurring at the construction site of the sewage pipe 3 or at a position where soil change has occurred. By grasping the construction site of the sewage pipe 3 and the position where the soil change occurred, it becomes easy to narrow down the location where the infiltration water is generated in the area where the infiltration water is generated, and repair the location where the infiltration water is generated. It becomes possible to carry out more efficiently.

Each of the processes described above may be regarded as a computer-executed method (infiltration water estimation method). Moreover, you may regard as a program (infiltration water estimation program) for making a computer perform each process demonstrated above. Furthermore, the program may be provided to the computer through a network or from a computer-readable recording medium or the like that holds data non-temporarily.

DESCRIPTION OF SYMBOLS 1... Processing apparatus 2... Sewage pipe 3... Sewage pipe 4... Rainwater pipe 5... Sewage treatment facility 6... Observation apparatus 7... Measurement sensor 10... Infiltration water estimation system REFERENCE SIGNS LIST 11: control device 12: communication interface device 13: storage device 14: input device 15: display device 101: rainfall data acquisition means 102: water flow measurement means 103 First inundation amount calculation means 104 Total rainfall amount calculation means 105 Second inundation amount calculation means 106 Estimation means 110 Day-of-the-week flow prediction model

Claims (8)

An infiltration water estimation system for estimating infiltration water that occurs in a plurality of areas during rainy weather and enters a sewage pipe ,
Acquisition means for acquiring hourly rainfall in each area;
a measuring means for measuring the amount of sewage flowing into the sewage treatment plant from the plurality of zones at each time;
Calculation means for calculating the difference between the inflow amount during fine weather and the inflow amount during rainy weather as the total amount of infiltrated water;
means for grasping the amount of inflow on weekdays during fine weather and rainy weather and the inflow amount on holidays and holidays during fine weather and rainy weather among the inflow;
means for calculating the total amount of rainfall in each area by accumulating the amount of rainfall falling in each area;
means for calculating the total amount of infiltrated water for each time within a specific time after the start of rainfall;
From the total amount of infiltration water on weekdays and holidays, the total rainfall amount in each area, and the time relationship before and after the rainfall, determine the value that specifies the amount of infiltration water in each area, and estimate the area where infiltration water occurs from this value. means and
A system for estimating water infiltration into a separate sewage pipe, comprising: The means for estimating applies dummy data simulating rainfall in a specific area to the estimation model for estimating the area where the infiltration water occurs. Infiltration estimation system. The amount of rainfall to be set as the dummy data is obtained by dividing the overall processing area into small sections, and when one section with heavy rainfall with a large amount of rainfall is selected, other processing sections A system for estimating water infiltration into a split-flow sewer pipe according to claim 2, characterized in that it is set so that the rainfall is small and light. Based on the time change of the total amount of infiltration during and after rainfall, it is possible to estimate whether the infiltration is from the damaged part of the split sewer pipe or the inflow is due to unintended confluence of rainwater and misconnection of pipes. The system for estimating water infiltration into a separate flow sewer pipe according to any one of claims 1 to 3, characterized in that: 5. The system for estimating infiltration water into a separate sewage pipe according to any one of claims 1 to 4, wherein the infiltration water amount is the infiltration water amount per unit area of the drainage area during rainy weather. Storage unit for storing at least one of construction history information including location and time of construction work for separate sewer pipes in each area and soil change information including location and time of soil change occurrence in each area When,
calculating the total amount of infiltration water for each hour within a predetermined period; a means for memorizing;
The system for estimating water infiltration into a separate flow sewer pipe according to any one of claims 1 to 5, characterized by comprising: An infiltration water estimation method for estimating infiltration water generated in a plurality of areas during rainy weather and infiltrating a sewage pipe ,
an obtaining step of obtaining the rainfall amount of each area for each hour;
a measuring step of measuring an inflow amount of sewage flowing into the sewage treatment plant from the plurality of zones at each time;
a calculation step of calculating the difference between the amount of inflow during fine weather and the amount of inflow during rainy weather as the total amount of infiltrated water;
a step of grasping the inflow amount on weekdays during fine weather and rainy weather and the inflow amount on holidays and holidays during fine weather and rainy weather among the inflow amount;
a step of accumulating the amount of rainfall falling in each area to determine the total amount of rainfall in each area;
a step of calculating the total amount of infiltrated water for each time within a specific time after the start of rainfall;
A process of obtaining a value that specifies the amount of infiltration in each area from the total amount of infiltration for each day of the week, weekends and holidays, the total amount of rainfall in each area, and the time relationship before and after the rainfall, and estimating the area where inundation occurs from this value. When,
A method for estimating intrusion water into a separate sewage pipe, comprising: A program that functions on a computer on an infiltration estimation system that estimates infiltration water that occurs in multiple areas during rainy weather and infiltrates sewage pipes ,
an obtaining step of obtaining the rainfall amount of each area for each hour;
a measuring step of measuring an inflow amount of sewage flowing into the sewage treatment plant from the plurality of zones at each time;
a calculation step of calculating the difference between the amount of inflow during fine weather and the amount of inflow during rainy weather as the total amount of infiltrated water;
a step of grasping the inflow amount on weekdays during fine weather and rainy weather and the inflow amount on holidays and holidays during fine weather and rainy weather among the inflow amount;
a step of accumulating the amount of rainfall falling in each area to determine the total amount of rainfall in each area;
a step of calculating the total amount of infiltrated water for each time within a specific time after the start of rainfall;
A process of obtaining a value that specifies the amount of infiltration in each area from the total amount of infiltration for each day of the week, weekends and holidays, the total amount of rainfall in each area, and the time relationship before and after the rainfall, and estimating the area where inundation occurs from this value. When,
A program for estimating infiltration water into a separate sewage pipe for executing a computer.

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