Inflow volume prediction device, inflow volume prediction method, inflow volume prediction program, sewage treatment system
By integrating weather data, pump well discharge rate, and contents volume into a learning model, the method enhances inflow volume prediction accuracy and speed, facilitating timely operational adjustments in sewage treatment plants.
Patent Information
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- SUMITOMO HEAVY INDUSTRIES ENVIRONMENT CO LTD
- Filing Date
- 2024-11-12
- Publication Date
- 2026-05-22
AI Technical Summary
Existing inflow volume prediction methods for sewage treatment plants lack accuracy and speed, particularly in predicting sudden changes in inflow water volume due to localized rainfall, leading to decreased prediction accuracy and difficulty in timely decision-making.
The method incorporates weather data, pump well water level data, and discharge volume data to calculate the actual inflow volume using a learning model, including the volume of contents in the pump well, enabling quick and accurate predictions.
Enables rapid and precise inflow volume prediction, allowing for timely adjustments and reducing the risk of flooding in sewage treatment facilities.
Smart Images
Figure 2026084936000001_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to an inflow water volume prediction device, an inflow water volume prediction method, an inflow water volume prediction program, and a sewage treatment system. More specifically, the present invention relates to an inflow water volume prediction device, an inflow water volume prediction method, and an inflow water volume prediction program for predicting the inflow water volume into a sewage treatment plant, and also relates to a sewage treatment system including the inflow water volume prediction device.
Background Art
[0003] For example, in Patent Document 1, meteorological data, calendar data, water level data of a pump well, and pump discharge volume data are collected and accumulated, sewage inflow volume data into the pump well is calculated based on the calendar data, water level data, and pump discharge volume data, and sewage inflow volume prediction data is obtained from the sum of sewage inflow volume prediction data by a sewage inflow volume prediction model with calendar data as an input factor and sewage inflow volume data as an output factor and rainwater inflow volume prediction data by a rainwater inflow volume prediction model with meteorological data as an input factor and rainwater inflow volume data as an output factor. An inflow water volume prediction device is described.
Prior Art Documents
Patent Documents
[24] ]
Summary of the Invention
Problems to be Solved by the Invention
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[38] ] As shown in Patent Document 1, in predicting the amount of sewage flowing into a sewage treatment plant, it is known that information relating to the area outside the sewage treatment plant, such as weather data and calendar data, and information relating to the area inside the sewage treatment plant, such as pump well water level data and pump pumping volume data are used. Furthermore, in recent years, localized and concentrated rainfall has been increasing, and considering treatment efficiency and the risk of flooding of facilities, it is necessary to predict the amount of water flowing into sewage treatment plants quickly and accurately.
[0006] Furthermore, through their investigations, the inventors have come to the realization that, as described in Patent Document 1, inflow volume predictions based on pump well water level data and pump pumping volume data, as information related to the sewage treatment plant, do not provide sufficient prediction accuracy. On the other hand, when predicting the amount of sewage flowing into a sewage treatment plant, if the type of data collected (including the location where data is measured) or the number of points (the number of locations where data is measured) is inappropriate, it becomes noise when predicting the amount of sewage flowing in. This leads to problems such as a decrease in the accuracy of the sewage flow prediction and difficulty in predicting the amount of sewage flowing in a short period of time.
[0007] The object of the present invention is to provide an inflow volume prediction device, an inflow volume prediction method, and an inflow volume prediction program that can predict the amount of water flowing into a sewage treatment plant in a short amount of time and with high prediction accuracy. [Means for solving the problem]
[0008] As a result of diligent research into the above-mentioned problems, the inventors of the present invention have discovered that by including calculations using specific parameters in the prediction of the amount of water flowing into a sewage treatment plant, it is possible to predict the amount of water flowing in quickly and with high prediction accuracy, and have completed the present invention. In other words, the present invention relates to the following inflow water volume prediction device, inflow water volume prediction method, inflow water volume prediction program, and sewage treatment system equipped with this inflow water volume prediction device.
[0009] The present invention, which solves the above problems, is characterized by comprising: a weather data acquisition unit that acquires weather data; a water level information acquisition unit that acquires information on the water level of pump wells in a sewage treatment plant; a discharge volume information acquisition unit that acquires information on the discharge volume of pump wells; a contents volume calculation unit that calculates the volume of contents in a pump well; an inflow volume actual value calculation unit that calculates the actual amount of inflow to a sewage treatment plant from the information on the volume of contents in a pump well acquired by the contents volume calculation unit and the information on the discharge volume of pump wells acquired by the discharge volume information acquisition unit; and an inflow volume prediction unit that predicts the amount of inflow to a sewage treatment plant based on the weather data acquired by the weather data acquisition unit and the information on the actual amount of inflow obtained by the inflow volume actual value calculation unit. As a result of diligent research, the inventors have found that, regarding the prediction of the amount of water flowing into a sewage treatment plant, it is possible to predict the amount of water flowing in quickly and with high accuracy by including a calculation that uses the discharge rate of the pump well and the volume of contents inside the pump well to obtain an actual value of the amount of water flowing in, which was not considered in the prior art. The inflow volume prediction device of the present invention is based on the above-mentioned findings, and the information necessary for calculation can be obtained relatively easily. Furthermore, it enables improved accuracy in inflow volume prediction and quick decision-making, and allows for appropriate understanding of trends regarding the presence or absence of rapid changes in inflow volume.
[0010] Furthermore, in one embodiment of the inflow volume prediction device of the present invention, the inflow volume prediction unit is characterized by utilizing a learning model created by machine learning training data that associates weather data and actual inflow volume information with the inflow volume to the sewage treatment plant. This feature makes it easier to appropriately handle a large amount of data related to the relationship between the information necessary for inflow volume prediction by the inflow volume prediction unit, namely weather data and information on actual inflow volume values, and information on the amount of water flowing into the sewage treatment plant. As a result, it becomes possible to predict inflow volume in a shorter time and with higher prediction accuracy.
[0011] Furthermore, in one embodiment of the inflow water volume prediction device of the present invention, the contents volume calculation unit is characterized by calculating the volume of contents in the pump well from information on the water level of the pump well, based on a previously derived relationship formula between the height and volume of the pump well. As described above, the inventors, through diligent research, have found that information regarding the volume of contents in the pump well is one of the important parameters in predicting the inflow rate. This feature allows for easier acquisition of inflow volume information by linking it with information on the water level in the pump well, which is necessary for predicting the inflow volume. This makes it possible to predict the inflow volume in a shorter time and with higher accuracy.
[0012] The present invention provides a method for predicting the amount of inflow water to solve the above problems, comprising: a weather data acquisition step for acquiring weather data; a water level information acquisition step for acquiring information on the water level of a pump well at a sewage treatment plant; a discharge rate information acquisition step for acquiring information on the discharge rate of a pump well; a contents volume calculation step for calculating the volume of contents in a pump well; an inflow water actual value calculation step for calculating the actual amount of inflow water to a sewage treatment plant from the information on the volume of contents in a pump well acquired in the contents volume calculation step and the information on the discharge rate of a pump well acquired in the discharge rate information acquisition step; and an inflow water prediction step for predicting the amount of inflow water to a sewage treatment plant based on the weather data acquired in the weather data acquisition step and the information on the actual amount of inflow water acquired in the inflow water actual value calculation step. The present invention's method for predicting the amount of inflow water to a sewage treatment plant is based on the inventors' findings that predicting the amount of inflow water to a sewage treatment plant is possible in a short time and with high prediction accuracy by including a calculation to obtain the actual value of the inflow water using the discharge rate of the pump well and the volume of contents in the pump well, which was not considered in the prior art. The information required for the calculation is relatively easy to obtain, and it enables improved accuracy in predicting the amount of inflow water and quick decision-making, and allows for appropriate understanding of trends regarding the presence or absence of sudden changes in the amount of inflow water.
[0013] The present invention, which solves the above problems, is characterized by using a computer to function as follows: a weather data acquisition means for acquiring weather data; a water level information acquisition means for acquiring information on the water level of pump wells in a sewage treatment plant; a discharge amount information acquisition means for acquiring information on the discharge amount of pump wells; a contents volume calculation means for calculating the volume of contents in a pump well; an inflow amount actual value calculation means for calculating the actual amount of inflow to a sewage treatment plant from the information on the volume of contents in a pump well acquired by the contents volume calculation means and the information on the discharge amount of pump wells acquired by the discharge amount information acquisition means; and an inflow amount prediction means for predicting the amount of inflow to a sewage treatment plant based on the weather data acquired by the weather data acquisition means and the information on the actual amount of inflow obtained by the inflow amount actual value calculation means. The inflow volume prediction program of the present invention is based on the inventors' findings that, regarding the prediction of the amount of water flowing into a sewage treatment plant, it is possible to predict the amount of water flowing in quickly and with high accuracy by including a calculation that determines the actual amount of water flowing in using the discharge rate of the pump well and the volume of contents in the pump well, which was not considered in the prior art. This allows for the smooth progress of a series of operations (calculations) related to inflow volume prediction, improves the accuracy of inflow volume prediction, enables quick decision-making, and allows for appropriate understanding of trends regarding the presence or absence of sudden changes in the amount of water flowing in.
[0014] The wastewater treatment system of the present invention, which solves the above problems, is characterized by comprising the above-described inflow volume prediction device and a display unit that displays an alarm or work instruction based on the information obtained from the inflow volume prediction device. This feature allows for quick and highly accurate prediction of the amount of wastewater flowing into facilities involved in wastewater treatment (wastewater treatment plants). Furthermore, by transmitting alarms and work instructions based on these inflow prediction results to workers, it becomes easier to streamline maintenance and management related to the operation of wastewater treatment systems and optimize their continued operation. [Effects of the Invention]
[0015] According to the present invention, it is possible to provide an inflow water volume prediction device, an inflow water volume prediction method, and an inflow water volume prediction program that can predict the inflow water volume into a sewage treatment plant in a short time with high prediction accuracy.
[0016] Further, according to the present invention, by applying the above-described inflow water volume prediction device to a sewage treatment system, it is possible to predict the inflow water volume into facilities (sewage treatment plants) involved in sewage treatment in a short time with high prediction accuracy, and it is possible to provide a sewage treatment system that can smooth the maintenance management related to operation and optimize operation.
Brief Description of the Drawings
[0017] [Figure 1] It is a schematic explanatory diagram showing the structure of the inflow water volume prediction device in an embodiment of the present invention. [Figure 2] It is a diagram showing a process related to inflow water volume prediction by the inflow water volume prediction device in an embodiment of the present invention. [Figure 3] It is a graph showing the inflow water volume prediction results by the inflow water volume prediction device as examples and comparative examples in an embodiment of the present invention. [Figure 4] It is a schematic explanatory diagram showing the structure of the sewage treatment system in an embodiment of the present invention.
Modes for Carrying Out the Invention
[0018] The inflow water volume prediction device, inflow water volume prediction method, inflow water volume prediction program, and sewage treatment system of the present invention are used in sewage treatment. More specifically, the inflow water volume prediction device, inflow water volume prediction method, and inflow water volume prediction program of the present invention are used for predicting the inflow water volume into a sewage treatment plant. Further, the sewage treatment system of the present invention uses the inflow water volume prediction device of the present invention to predict the inflow water volume into a sewage treatment plant in a short time with high prediction accuracy, and is used as a sewage treatment system that can smooth the maintenance management related to operation and optimize operation based on the inflow water volume prediction results.
[0019] Hereinafter, embodiments of the inflow water volume prediction device, inflow water volume prediction method, inflow water volume prediction program, and sewage treatment system according to the present invention will be described in detail with reference to the drawings. The inflow water volume prediction method and inflow water volume prediction program of the present invention will be replaced by the following description of the structure and operation of the inflow water volume prediction device. Furthermore, the inflow water volume prediction device, inflow water volume prediction method, inflow water volume prediction program, and sewage treatment system described in the embodiments are merely examples used to illustrate the inflow water volume prediction device, inflow water volume prediction method, inflow water volume prediction program, and sewage treatment system according to the present invention, and are not limited thereto.
[0020] [Inflow water volume prediction device] First, an embodiment of the inflow water volume prediction device of the present invention will be described by example. In addition, the description of the inflow water volume prediction device of this embodiment will also include a description of the inflow water volume prediction method and inflow water volume prediction program of the present invention. Figure 1 is a schematic diagram illustrating the structure of an inflow water volume prediction device in an embodiment of the present invention. As shown in Figure 1, the inflow water volume prediction device 1 according to this embodiment is for predicting the amount of inflow water flowing into the sewage treatment plant 100, and includes a weather data acquisition unit 2, a water level information acquisition unit 3, a discharge volume information acquisition unit 4, and a contents volume calculation unit 5 for acquiring various information related to the pump wells 110 in the sewage treatment plant 100, and further includes an inflow water volume actual value calculation unit 6 for calculating the actual amount of inflow water to the sewage treatment plant 100, and an inflow water volume prediction unit 7 for predicting the amount of inflow water to the sewage treatment plant 100. Furthermore, Figure 1 shows an example of the structure of a sewage treatment plant 100 to which the inflow water volume prediction device 1 according to this embodiment is applied. In Figure 1, solid arrows indicate that each processing facility is connected via piping or other means to allow water to flow through. Additionally, dashed-dotted arrows indicate connections that enable the input and output of information (data).
[0021] First, we will describe the sewage treatment plant 100 to which the inflow volume prediction device 1 of this embodiment is applied. The sewage treatment plant 100 to which the inflow water volume prediction device 1 of this embodiment is applied only needs to be equipped with facilities and equipment that treat the inflowing sewage W to produce treated water W1 that has a water quality suitable for discharge into rivers (sewage treatment), and it does not matter whether it is an existing or newly constructed facility. As an example of a sewage treatment plant 100, as shown in Figure 1, it includes a grit chamber 110, a primary sedimentation tank 120, a reaction tank 130, and a final sedimentation tank 140, and treats sewage W to treated water W1. Although not shown in Figure 1, other known facilities and equipment may be provided for sewage treatment. Such facilities and equipment include, for example, disinfection equipment installed downstream of the final sedimentation tank 140, as well as facilities and equipment for treating sludge discharged from the primary sedimentation tank 120 and the final sedimentation tank 140.
[0022] Sewage W flowing into the sewage treatment plant 100 is first separated in the grit chamber 110 by sedimentation of relatively large solid matter (such as sand), and debris is removed by debris removal equipment 112 such as screens and debris scrapers. The contents stored downstream of the grit chamber 110 (pump well 112) are then transferred to the primary sedimentation tank 120 via the water pump P. In the primary sedimentation tank 120, suspended solids (sludge) with a high specific gravity are separated by sedimentation, and after organic matter decomposition by biological treatment in the reaction tank 130, the suspended solids (microbial flocs, sludge) generated in the reaction tank 130 are separated by sedimentation in the final sedimentation tank 140, and then the treated water W1 is discharged outside the system.
[0023] Here, it is desirable to predict fluctuations in the amount of inflowing water into the sewage treatment plant 100 quickly and with high accuracy, not only in terms of maintaining and improving the treatment efficiency of the sewage treatment plant 100, but also from the perspective of reducing the risk of flooding in each facility and equipment that constitutes the sewage treatment plant 100. The inflow volume prediction device 1 of this embodiment predicts the inflow volume using information about the pump well 111, which is the water tank located at the uppermost part of the sewage treatment plant 100. In particular, the inflow volume prediction device 1 of this embodiment performs inflow volume prediction including calculations to obtain the actual value of the inflow volume using the discharge rate of the pump well 111 and the volume of the contents (sewage W) inside the pump well 111. The following describes the various components of the inflow water volume prediction device 1 of this embodiment.
[0024] The weather data acquisition unit 2 is for performing a weather data acquisition step to acquire data related to the weather. The weather-related data acquired by the weather data acquisition unit 2 includes precipitation data based on rainfall forecasts and actual rainfall, as well as wind direction, temperature, and other similar data. Furthermore, the weather data acquisition unit 2 acquires weather data in the area where rainwater inflow is predicted to occur at the sewage treatment plant 100, based on the location of the sewage treatment plant 100, which is the target of the inflow water volume prediction using the inflow water volume prediction device 1 of this embodiment. Furthermore, when acquiring data by the weather data acquisition unit 2, it may be done as one of the operations related to the operation of the sewage treatment plant 100, or the data may be provided by a person who collects and manages weather data (such as the Japan Meteorological Agency or a private weather company).
[0025] The water level information acquisition unit 3 is for performing a water level information acquisition step to acquire information regarding the water level of the pump well 111. The water level information acquisition unit 3 can be any unit that can acquire information regarding the water level of the pump well 111, which is the water tank located at the furthest upstream side of the sewage treatment plant 100. As shown in Figure 1, an example is a unit that acquires information related to the measurement results of the water level gauge S installed in the pump well 111.
[0026] The discharge volume information acquisition unit 4 is for performing a discharge volume information acquisition step to acquire information regarding the discharge volume of the pump well 111. The discharge volume information acquisition unit 4 only needs to be capable of acquiring information related to the discharge volume of the pump well 111, or in other words, the amount of water sent from the pump well 111 to the downstream facility (primary sedimentation tank 120). As shown in Figure 1, an example is one that acquires information related to the discharge volume of the water pump P (such as the flow rate setting value of the water pump P or the measured value of the flow meter).
[0027] The contents volume calculation unit 5 is for performing a contents volume calculation step that calculates the volume of the contents (sewage W) in the pump well 111. The contents volume calculation unit 5 can be any device capable of performing calculations to obtain information regarding the volume of contents (sewage W) in the pump well 111. For example, it may include manual calculations, but from the viewpoint of enabling calculations in a short time and with high accuracy, it is preferable to use a computing device that executes the program necessary for this calculation using a processor such as a CPU.
[0028] The inflow volume prediction device 1 of this embodiment performs calculations to acquire information regarding the volume of contents (sewage W) in the pump well 111, which is the water tank located at the uppermost part of the sewage treatment plant 100. Furthermore, by using the information regarding the volume of contents (sewage W) in the pump well 111, which is the result of these calculations, in the inflow volume actual value calculation unit 6, which will be described later, the accuracy of the inflow volume prediction by the inflow volume prediction device 1 is improved. Therefore, it is important for the contents volume calculation unit 5 to perform calculations to obtain information about the volume of contents (sewage W) in the pump well 111 with high accuracy. On the other hand, it is undesirable for the acquisition (calculation) of information about the volume of contents in the pump well 111 to become complex or cumbersome. In this embodiment, it is preferable that the contents volume calculation unit 5 performs calculations that take into account the shape of the pump well 111 (shape of the sedimentation basin 110). The pump well 111 often has a slope at part of its bottom so that sewage W, from which sludge and sand have been removed in the sedimentation basin 110, flows in smoothly. In addition, the sedimentation basin 110 may have a recessed bottom rather than being horizontal in order to separate and recover the settled sand. That is, instead of approximating the shape of the pump well 111 as a rectangular parallelepiped, the change in the cross-sectional area of the pump well 111 with respect to its height is taken into consideration, and the relationship between the height of the pump well 111 and the corresponding volume of the pump well 111 is expressed as an equation, and the volume of the contents (sewage W) present in the pump well 111 is calculated using this relationship. More specifically, a relationship between the height and volume of the pump well 111 is derived in advance, and the volume of the contents (sewage W) present in the pump well 111 is calculated using the water level information of the pump well 111 obtained by the water level information acquisition unit 3 described above. This allows for the calculation of the volume of the contents (sewage W) present in the pump well 111 using the water level information of the pump well 111, which is easy to operate, and enables the acquisition of information regarding the volume of the contents (sewage W) in the pump well 111 with high accuracy and ease. In addition, when predicting the inflow volume using the inflow volume prediction device 1 of this embodiment, it becomes possible to predict the inflow volume in an even shorter time and with higher prediction accuracy.
[0029] The inflow volume actual value calculation unit 6 is for performing an inflow volume actual value calculation step to calculate the actual value of the inflow volume of water into the sewage treatment plant 100. More specifically, it calculates the inflow volume actual value from the information relating to the volume of contents in the pump well 111 obtained by the contents volume calculation unit 5 and the information relating to the discharge volume of the pump well 111 obtained by the discharge volume information acquisition unit 4. The inflow volume actual value calculation unit 6 can be any device capable of performing calculations to obtain information related to the actual value of the inflow volume. For example, it may include manual calculations, but from the viewpoint of enabling calculations in a short time and with high accuracy, it is preferable to use a computing device that executes the program necessary for this calculation using a processor such as a CPU.
[0030] The inflow volume prediction unit 7 is for performing an inflow volume prediction step to predict the amount of water flowing into the sewage treatment plant 100. More specifically, it predicts the amount of water that will flow into the sewage treatment plant 100 in the future based on weather data acquired by the weather data acquisition unit 2 and information related to actual inflow volume values acquired by the inflow volume actual value calculation unit 6. The inflow volume prediction unit 7 can be any device capable of performing calculations to obtain information related to the inflow volume prediction, in other words, information related to the expected fluctuations in the inflow volume. For example, it may include manual calculations, but from the viewpoint of enabling calculations in a short time and with high accuracy, it is preferable to use a computing device that executes the program necessary for these calculations using a processor such as a CPU.
[0031] In particular, it is preferable that the inflow volume prediction unit 7 of this embodiment utilizes a learning model created by machine learning training data that associates weather data and actual inflow volume information with the amount of water flowing into the sewage treatment plant. This makes it easier for the inflow volume prediction unit 7 to appropriately handle a large amount of data related to the relationship between weather data and actual inflow volume information and information related to the amount of water flowing into the sewage treatment plant, thereby enabling inflow volume prediction to be performed in a shorter time and with higher prediction accuracy.
[0032] Furthermore, in the inflow volume prediction unit 7 of this embodiment, the time required to acquire information related to the actual inflow volume by the actual inflow volume calculation unit 6 is very short, and the time interval of the inflow volume prediction value is mainly determined according to the time interval of the weather data acquired by the weather data acquisition unit 2 (weather data acquisition span). That is, if the weather data acquisition unit 2 acquires weather data for one hour later (rainfall forecast value, etc.), the inflow volume prediction unit 7 can output the inflow volume prediction value for one hour later (one hour ahead). Also, if the weather data acquisition unit 2 acquires weather data at short time intervals such as 5 minutes or 10 minutes later, the inflow volume prediction unit 7 can perform calculations by accumulating (collecting) the weather data and output the inflow volume prediction value for a desired future (for example, one hour ahead).
[0033] In the operation of the inflow volume prediction device 1 of this embodiment, manual operation by workers may be included, but it is preferable to automate a series of operations related to inflow volume prediction by using a computing device (computer) that has data input / output functions for acquiring weather data and information from equipment installed at the sewage treatment plant 100 (water level gauge S, water pump P, flow meter, etc.) and executes a program for performing calculations related to acquiring various parameters related to inflow volume prediction using a CPU or other processor. In other words, when operating the inflow water volume prediction device 1 of this embodiment, it is preferable to create and execute an inflow water volume prediction program that causes the computer to function as follows: weather data acquisition means for acquiring weather data; water level information acquisition means for acquiring information on the water level of the pump well 111 in the sewage treatment plant 100; discharge volume information acquisition means for acquiring information on the discharge volume of the pump well 111; contents volume calculation means for calculating the volume of contents (sewage W) in the pump well 111; inflow water volume actual value calculation means for calculating the actual value of the inflow water volume into the sewage treatment plant 100 from the information on the volume of contents in the pump well 111 acquired by the contents volume calculation means and the information on the discharge volume of the pump well 111 acquired by the discharge volume information acquisition means; and inflow water volume prediction means for predicting the inflow water volume into the sewage treatment plant 100 based on the weather data acquired by the weather data acquisition means and the information on the actual value of the inflow water volume acquired by the inflow water volume actual value calculation means. This allows for the smooth execution of a series of operations (calculations) related to inflow volume prediction, improving the accuracy of inflow volume predictions and enabling quick decision-making, while also allowing for an appropriate understanding of trends regarding the presence or absence of sudden changes in inflow volume.
[0034] (Inflow volume prediction process using an inflow volume prediction device) Figure 2 shows an example of the process related to inflow water volume prediction by the inflow water volume prediction device of this embodiment. The following describes each process related to inflow water volume prediction using the inflow water volume prediction device 1 of this embodiment, based on Figure 2.
[0035] First, as a process for acquiring data on the pump well 111 at the sewage treatment plant 100, the water level information acquisition unit 3 acquires data on the water level, and the discharge volume information acquisition unit 4 acquires data on the discharge volume of the pump well 111. The water level data is then input to the contents volume calculation unit 5. The contents volume calculation unit 5 considers the change in the cross-sectional area of the pump well 111 with respect to its height and uses a previously derived relationship between the height and volume of the pump well 111. By inputting the water level data into this relationship, the volume of the contents (sewage W) present in the pump well 111 is calculated. The process for predicting the inflow volume up to this point involves acquiring and calculating information about a single facility within the sewage treatment plant 100, specifically the pump well 111, which is the upstreammost tank in the sewage treatment plant 100. Since it does not involve acquiring or using other potentially noisy information, it is possible to acquire and calculate information quickly (almost in real time) and with high accuracy.
[0036] Next, the data relating to the volume of contents in the pump well 111, obtained by the contents volume calculation unit 5, and the data relating to the discharge rate of the pump well 111, obtained by the discharge rate information acquisition unit 4, are input to the inflow water volume actual value calculation unit 6 to calculate the actual value of the inflow water volume to the sewage treatment plant 100. One example of the calculations performed at this time is to use the difference in volume between the discharge rate of the pump well 111 and the contents of the pump well 111 from the previous calculation to the current calculation (in other words, from the time the calculation related to the actual amount of water flowing into the sewage treatment plant 100 is performed until the next calculation) in the inflow water volume actual value calculation unit 6 to determine the actual amount of water flowing into the sewage treatment plant 100. More specifically, the average value Q of the discharge volume of the pump well 111 acquired by the discharge volume information acquisition unit 4 from the previous calculation to the current calculation, and the volume difference ΔV of the contents in the pump well 111 immediately after the previous calculation and immediately before the current calculation, acquired by the contents volume calculation unit 5, are calculated, and the sum of these (=Q+ΔV) is output as the actual value of the inflow volume to the sewage treatment plant 100.
[0037] Then, the weather data (data related to precipitation, etc.) acquired by the weather data acquisition unit 2 and the data related to the actual inflow water volume acquired by the actual inflow water volume calculation unit 6 are input to the inflow water volume prediction unit 7 and output as the predicted inflow water volume. One example of how to predict (calculate) the inflow volume in this case is to use weather data and actual inflow volume data as input data, and to perform calculations using a pre-created learning model that has been trained on training data of the inflow volume to the sewage treatment plant at that time as output data.
[0038] Furthermore, there are no particular limitations on the means and timing for externally outputting the inflow volume prediction value from the inflow volume prediction unit 7. For example, the inflow volume prediction value may be continuously output externally via a display means (such as a monitor) capable of displaying numerical values or images, enabling verification (continuous monitoring) by workers. Alternatively, as with the display unit 220 described later, external output may be provided in the form of sound or light, in addition to numerical values or images, only when the inflow volume prediction value exceeds a value (threshold) that requires action by workers.
[0039] Here, based on the examples, we will evaluate the prediction accuracy of the inflow water volume prediction device 1 of this embodiment. First, as an example, the inflow volume prediction device 1 of this embodiment was used to predict the inflow volume to an existing sewage treatment plant over a predetermined period. Furthermore, as a comparative example, the inflow volume prediction device 1 of this embodiment was modified by omitting the contents volume calculation unit 5 and calculating the actual inflow volume value using the water level and discharge rate of the pump well 111, without using information related to the volume of contents (sewage W) in the pump well 111. In this case, the inflow volume threshold (alarm activation level) at this sewage treatment plant was 300 m³. 3 It is / h.
[0040] The lower part of Figure 3 is a graph showing the predicted inflow volume in the examples and comparative examples, with the horizontal axis representing elapsed time (1 division corresponds to 3 hours) and the vertical axis representing the (predicted) inflow volume (unit: m³). 3 The value is / h). In addition, the actual (observed) inflow volume is also shown in the graph at the bottom of Figure 3 in order to evaluate the inflow volume prediction results (evaluation of prediction accuracy). The upper part of Figure 3 shows a graph (vertical axis: precipitation (unit: mm / h)) illustrating the actual precipitation at that time.
[0041] As shown in Figure 3, during periods of low (almost zero) precipitation, the predicted values for inflow water volume in both the examples and comparative examples show little deviation from the actual values, demonstrating that inflow water volume can be predicted with high accuracy. On the other hand, when rainfall increased rapidly over a short period (several hours), the example yielded prediction results close to the actual values, while the comparative example predicted a considerably larger inflow volume. Furthermore, although the example slightly exceeded the actual values, the prediction result was below the threshold (alarm trigger level) for the inflow volume at this sewage treatment plant. On the other hand, in the comparative example, the threshold (alarm trigger level) was 300m. 3 The results showed that the inflow volume was predicted to exceed / h, and this, combined with the low prediction accuracy, led to false alarms.
[0042] As described above, the inflow volume prediction device, inflow volume prediction method, and inflow volume prediction program of this embodiment are based on the inventors' findings that, regarding the prediction of the amount of water flowing into a sewage treatment plant, it is possible to predict the amount of water flowing in quickly and with high prediction accuracy by including a calculation that obtains the actual value of the amount of water flowing in using the discharge rate of the pump well and the volume of contents in the pump well, which was not considered in the prior art. The information required for the calculation is relatively easy to obtain, and it enables improved accuracy in predicting the amount of water flowing in quickly and quick decision-making, and allows for appropriate understanding of trends regarding the presence or absence of sudden changes in the amount of water flowing in.
[0043] Furthermore, the inflow volume prediction device of this embodiment is suitably used in sewage treatment plants, whether existing or newly constructed. In particular, the inflow volume prediction device of this embodiment obtains information from the constituent facilities and equipment of the sewage treatment plant that pertain to a single facility (pump well), and the equipment involved in obtaining the information (water level gauges, flow meters, etc.) is normally installed in existing sewage treatment plants, making additional installation easy. In other words, the inflow volume prediction device 1 of this embodiment can perform inflow volume prediction in a short time with high accuracy, simply and at low cost.
[0044] [Wastewater treatment system] Furthermore, a sewage treatment plant (sewage treatment system) to which the inflow volume prediction device of this embodiment is applied can take advantage of the benefit of being able to predict the inflow volume in a short time and with high accuracy, making it easier to streamline maintenance and management related to the operation of the sewage treatment system and optimize its continued operation. The following describes an embodiment of the wastewater treatment system of the present invention, which applies the inflow volume prediction device of this embodiment.
[0045] Figure 4 is a schematic diagram illustrating the structure of a sewage treatment system in an embodiment of the present invention. As shown in Figure 4, the sewage treatment system 200 of this embodiment includes a processing unit 210 that processes sewage W into treated water W1, and further includes an inflow volume prediction device 1 and components that operate based on the information obtained from the inflow volume prediction device 1. Specific examples of components that operate based on the information obtained from the inflow volume prediction device 1 include a display unit 220 that displays alarms or work instructions, and a control unit 230 that controls the operation of each device and equipment in the processing unit 210. In Figure 4, the connections that can be controlled by the control unit 230 are merely examples of components that can be controlled by the control unit 230 in this embodiment, and are not limited to these. The following describes the various components of the wastewater treatment system 200 of this embodiment.
[0046] First, in the wastewater treatment system 200 of this embodiment, the processing unit 210 refers to the entire facility involved in wastewater treatment. For example, similar to the wastewater treatment plant 100 described above, it includes a grit chamber 110, a primary sedimentation tank 120, a reaction tank 130, a final sedimentation tank 140, and disinfection equipment (not shown), which are general-purpose facilities in wastewater treatment. The specific details of the processing unit 210 are the same as those of the wastewater treatment plant 100 described above, so the explanation will be omitted.
[0047] Furthermore, the inflow volume prediction device 1 installed in the sewage treatment system 200 can be the same as the inflow volume prediction device 1 described above, and a detailed explanation will be omitted.
[0048] Furthermore, the display unit 220 in the sewage treatment system 200 of this embodiment is one of the units that operates based on information obtained from the inflow volume prediction device 1. More specifically, it displays an alarm or work instruction based on the information (inflow volume prediction result) obtained from the inflow volume prediction device 1 described above. The display unit 220 only needs to be capable of notifying workers of information necessary to respond quickly and accurately to events estimated from the inflow water volume prediction results (such as a decrease in treatment efficiency or the risk of facility flooding). For example, it may notify workers of alarms or work instructions using strings of characters or symbols via a display means such as a monitor, or it may also provide notifications using sound or light.
[0049] Furthermore, the control unit 230 in the sewage treatment system 200 of this embodiment is one of the units that operates based on information obtained from the inflow water volume prediction device 1. More specifically, it controls the operation of each device and equipment in the processing unit 210 based on the information (inflow water volume prediction result) obtained from the inflow water volume prediction device 1 described above. The control unit 230 only needs to be capable of controlling the operation of the processing unit 210 as part of responding to events estimated from the inflow water volume prediction results (such as a decrease in treatment efficiency or the risk of facility flooding).
[0050] Specific examples of the control unit 230 include, for example, operating control of mechanisms for adjusting the inflow rate of sewage W into each piece of equipment within the processing unit 210 (sand basin 110, primary sedimentation tank 120, reaction tank 130, final sedimentation tank 140, etc.). More specifically, as shown in Figure 4, it controls the driving and opening / closing of pumps (water pumps P) and valves installed on the piping connecting each piece of equipment, as well as controlling the opening and closing of gates for allowing sewage W to flow into the sand basin 110. Furthermore, other specific examples of the control unit 230 include, for example, controlling the operation of each piece of equipment within the processing unit 210 (sand basin 110, primary sedimentation tank 120, reaction tank 130, final sedimentation tank 140, etc.) themselves, or the equipment installed in each piece of equipment. More specifically, this includes drive control of the dust removal equipment 112 in the sand basin 110, drive control of the stirring mechanism and aeration mechanism installed in the reaction tank 130, etc., and operation control of equipment (mechanisms) related to the addition of chemicals such as coagulants and pH adjusters.
[0051] As described above, the sewage treatment system of this embodiment can predict the amount of water flowing into the facilities involved in sewage treatment (sewage treatment plant) in a short time and with high prediction accuracy. Furthermore, by transmitting alarms and work instructions to workers and controlling the operation of each device and equipment in the processing unit based on these inflow volume prediction results, it becomes easier to streamline maintenance and management related to the operation of the sewage treatment system and optimize its continuous operation.
[0052] The embodiments described above are examples of inflow water volume prediction devices, inflow water volume prediction methods, inflow water volume prediction programs, and sewage treatment systems. The inflow water volume prediction devices, inflow water volume prediction methods, inflow water volume prediction programs, and sewage treatment systems according to the present invention are not limited to the embodiments described above, and the inflow water volume prediction devices, inflow water volume prediction methods, inflow water volume prediction programs, and sewage treatment systems according to the embodiments described above may be modified without changing the gist of the claims. [Industrial applicability]
[0053] The inflow volume prediction device, inflow volume prediction method, and inflow volume prediction program of the present invention are suitably used for predicting the amount of inflow water flowing into a sewage treatment plant. Furthermore, the wastewater treatment system of the present invention is suitably utilized in technologies related to wastewater treatment. [Explanation of symbols]
[0054] 1. Inflow water volume prediction device, 2. Weather data acquisition unit, 3. Water level information acquisition unit, 4. Discharge volume information acquisition unit, 5. Content volume calculation unit, 6. Inflow water volume actual value calculation unit, 7. Inflow water volume prediction unit 100 Sewage treatment plant, 110 Grit basin, 111 Pump well, 112 Debris removal equipment, 120 Primary sedimentation tank, 130 Reaction tank, 140 Final sedimentation tank 200 Sewage treatment system, 210 Processing unit, 220 Display unit, 230 Control unit P: Water pump, S: Water level meter, W: Sewage, W1: Treated water
Claims
1. A weather data acquisition unit that acquires weather-related data, A water level information acquisition unit that acquires information on the water level of pump wells in a sewage treatment plant, A discharge volume information acquisition unit that acquires information regarding the discharge volume of the pump well, A contents volume calculation unit that calculates the volume of the contents inside the pump well, An inflow volume actual value calculation unit calculates the actual value of the inflow volume to the sewage treatment plant from the information relating to the volume of contents in the pump well obtained by the contents volume calculation unit and the information relating to the discharge volume of the pump well obtained by the discharge volume information acquisition unit, An inflow volume prediction device characterized by comprising: an inflow volume prediction unit that predicts the amount of water flowing into a sewage treatment plant based on weather data acquired by the weather data acquisition unit and information relating to the actual inflow volume acquired by the actual inflow volume calculation unit.
2. The inflow volume prediction device according to claim 1, characterized in that the inflow volume prediction unit uses a learning model created by machine learning training data that associates the weather data and the actual inflow volume values as input data and the inflow volume information to the sewage treatment plant as output data.
3. The inflow water volume prediction device according to claim 1, characterized in that the contents volume calculation unit calculates the volume of contents in the pump well from information regarding the water level of the pump well, based on a previously derived relationship formula between the height and volume of the pump well.
4. A weather data acquisition step to obtain weather-related data, A water level information acquisition step to obtain information on the water level of pump wells in a sewage treatment plant, A discharge volume information acquisition step for acquiring information regarding the discharge volume of the pump well, A content volume calculation step for calculating the volume of the contents inside the pump well, The inflow volume actual value calculation step calculates the actual value of the inflow volume to the sewage treatment plant from the information relating to the volume of contents in the pump well obtained in the contents volume calculation step and the information relating to the discharge volume of the pump well obtained in the discharge volume information acquisition step, An inflow volume prediction method characterized by comprising: an inflow volume prediction step that predicts the amount of water flowing into a sewage treatment plant based on weather data acquired in the weather data acquisition step and information relating to the actual inflow volume acquired in the actual inflow volume calculation step.
5. A weather data acquisition method for obtaining weather-related data, A means for acquiring water level information to obtain information on the water level of pump wells in a sewage treatment plant, Discharge volume information acquisition means for acquiring information regarding the discharge volume of the pump well, Contents volume calculation means for calculating the volume of contents in the pump well, An inflow volume actual value calculation means calculates the actual value of the inflow volume to the sewage treatment plant from the information relating to the volume of contents in the pump well obtained by the contents volume calculation means and the information relating to the discharge volume of the pump well obtained by the discharge volume information acquisition means, An inflow volume prediction program characterized by having a computer function as an inflow volume prediction means that predicts the amount of water flowing into a sewage treatment plant based on weather data acquired by the weather data acquisition means and information relating to the actual inflow volume acquired by the actual inflow volume calculation means.
6. An inflow water volume prediction device according to any one of claims 1 to 3, A sewage treatment system characterized by comprising a display unit that displays an alarm or work instruction based on information obtained from the aforementioned inflow water volume prediction device.