Water treatment plant operation support system and water treatment plant operation support method

Abstract

A water treatment plant operation support system (110) that supports operation of a water treatment plant (100) is provided with: an operation condition selection unit (7) that selects at least one operation condition from among a plurality of operation conditions; a control target value setting unit (9) that calculates a control target value corresponding to the operating condition selected by the operating condition selection unit (7); a simulation unit (10) that performs a simulation for predicting at least one of a plurality of state quantities of the water treatment plant (100) on the basis of the state quantity stored in the data storage unit (4) and the control target value calculated by the control target value setting unit (9); and an output unit (11) that outputs the simulation result of the simulation unit (10).

Description

Technical Field

[0001] This application relates to a water treatment plant operation support system and a water treatment plant operation support method. Background Art

[0002] Conventionally, there has been an operation management system for a sewage treatment plant that performs water quality simulation based on state quantities in the sewage treatment plant, comprising: an input / output unit that inputs the operation conditions of the sewage treatment plant; a data storage unit that stores the state quantities sent from the sewage treatment plant; a water quality prediction unit that pre-installs a water quality simulator and performs water quality simulation based on the state quantities from the data storage unit and the operation conditions from the input / output unit; and a parameter input unit that inputs the parameters of the water quality simulator to the water quality prediction unit, wherein the result of the water quality simulation produced by the water quality prediction unit is output to the input / output unit.

[0003] Prior Art Documents

[0004] Patent Document 1: Japanese Unexamined Patent Application Publication No. 2006-95440 Summary of the Invention

[0005] Regarding the operation of a water treatment plant including a sewage treatment plant as in the above prior art, there has been proposed an operation support technology that hopes to get rid of operation monitoring based on the expertise of skilled operators.

[0006] Here, the operation conditions of a water treatment plant including a sewage treatment plant and a water purification plant are not of a single pattern, and the operator must consider multiple factors such as changes in the inflow load, weather, and the impact of equipment stoppage in the treatment plant and select the condition that is considered the best from various patterns of operation conditions.

[0007] Therefore, for users with little experience, it becomes a difficult task to select the best operation condition from various patterns of operation conditions.

[0008] This application discloses a technology for solving the above problems, and aims to provide a water treatment plant operation support system and a water treatment plant operation support method that enable users with little experience in the operation of a water treatment plant to select the best operation conditions.

[0009] The water treatment plant operation support system disclosed in this application is a water treatment plant operation support system that supports the operation of a water treatment plant, comprising:

[0010] a data storage unit that stores state quantities representing the state of the water treatment plant sent from the water treatment plant;

[0011] an operation condition selection unit that selects at least one operation condition from a plurality of operation conditions related to the operation of the water treatment plant;

[0012] A control target value setting unit that calculates a control target value corresponding to the operating condition selected by the operating condition selection unit;

[0013] A simulation unit that performs a simulation for predicting at least one of the plurality of state quantities of the water treatment plant based on the state quantity stored in the data storage unit and the control target value calculated by the control target value setting unit; and

[0014] An output unit that outputs the simulation result of the simulation unit.

[0015] The water treatment plant operation support system disclosed in the present application is a water treatment plant operation support system that supports the operation of a water treatment plant, and includes:

[0016] A data storage unit that stores a state quantity representing the state of the water treatment plant sent from the water treatment plant;

[0017] A control target value input unit that inputs a control target value related to the operation of the water treatment plant;

[0018] An operating condition display unit that displays at least one operating condition among a plurality of operating conditions corresponding to the control target value input by the control target value input unit;

[0019] A simulation unit that performs a simulation related to the operation of the water treatment plant based on the state quantity stored in the data storage unit and the control target value input by the control target value input unit; and

[0020] An output unit that outputs the simulation result of the simulation unit.

[0021] The water treatment plant operation support method disclosed in the present application is a water treatment plant operation support method that supports the operation of a water treatment plant, and includes:

[0022] A data storage step of storing a state quantity representing the state of the water treatment plant sent from the water treatment plant;

[0023] An operating condition selection step of selecting at least one operating condition from a plurality of operating conditions related to the operation of the water treatment plant;

[0024] A control target value setting step of calculating a control target value corresponding to the operating condition selected in the operating condition selection step;

[0025] A simulation step of performing a simulation for predicting at least one of the plurality of state quantities of the water treatment plant based on the state quantity stored in the data storage step and the control target value calculated in the control target value setting step; and

[0026] An output process that outputs the simulation results of the simulation process.

[0027] The water treatment plant operation support method disclosed in the present application is a water treatment plant operation support method for supporting the operation of a water treatment plant, and includes:

[0028] A data storage process that stores the state quantity indicating the state of the water treatment plant sent from the water treatment plant;

[0029] A control target value input process that inputs a control target value related to the operation of the water treatment plant;

[0030] An operation condition display process that displays at least one operation condition among a plurality of operation conditions corresponding to the control target value input in the control target value input process;

[0031] A simulation process that performs a simulation related to the operation of the water treatment plant based on the state quantity stored in the data storage process and the control target value input in the control target value input process; and

[0032] An output process that outputs the simulation results of the simulation process.

[0033] According to the water treatment plant operation support system and the water treatment plant operation support method disclosed in the present application, even a user with little experience in the operation of a water treatment plant can select the optimal operation conditions. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 It is a structural diagram showing a water treatment plant and a water treatment plant operation support system according to Embodiment 1.

[0035] Figure 2 It is a diagram showing an example of a screen of an operation condition selection unit according to Embodiment 1.

[0036] Figure 3 It is a diagram showing a setting example of a control target value of a control target value setting unit according to Embodiment 1.

[0037] Figure 4 It is a diagram showing an example of a water quality simulation result displayed by an output unit according to Embodiment 1.

[0038] Figure 5 It is a diagram showing an operation flow of a water treatment plant operation support system according to Embodiment 1.

[0039] Figure 6 It is a structural diagram showing a water treatment plant and a water treatment plant operation support system according to Embodiment 2.

[0040] Figure 7It is a structural diagram showing the water treatment plant and the water treatment plant operation support system according to Embodiment 3.

[0041] Figure 8 It is a structural diagram showing the water treatment plant and the water treatment plant operation support system according to Embodiment 4.

[0042] Figure 9 It is a diagram showing a structural example of the hardware of the water treatment plant operation support system according to the embodiment. Detailed Embodiments

[0043] Hereinafter, while referring to the drawings, preferred embodiments of the present disclosure will be described in detail. In addition, the present disclosure is not limited to the following description, and can be appropriately changed without departing from the gist of the present disclosure. In the present specification and drawings, components having substantially the same function are given the same reference numerals, and thus redundant description is omitted. In addition, in the drawings, the diagrams showing the structure of the system and the shape of the components are merely diagrams showing the schematic structure and shape of the system and the components. The relative sizes and relative positions of the components illustrated in each drawing do not necessarily accurately represent the size relationship and position relationship between the actual components.

[0044] In the following embodiments, a sewage treatment plant is described as an example of the water treatment plant, but the technology disclosed in the present application can be applied to all water treatment plants including water purification plants and sewage treatment plants.

[0045] Embodiment 1.

[0046] Figure 1 It is a structural diagram showing the water treatment plant and the water treatment plant operation support system according to Embodiment 1.

[0047] The water treatment plant 100 according to Embodiment 1 includes a biological reaction tank 1, a blower 2, and a sensor 3. And the water treatment plant operation support system 110 according to Embodiment 1 includes a data storage unit 4, a parameter adjustment unit 5, an input / output unit 6, a data extraction unit 8, a control target value setting unit 9, and a simulation unit 10. The input / output unit 6 has an operation condition selection unit 7 and an output unit 11.

[0048] Hereinafter, the details of the water treatment plant and the water treatment plant operation support system according to Embodiment 1 will be described.

[0049] The biological reaction tank 1 of the water treatment plant 100 stores activated sludge inside. The air supplied from the blower 2 is supplied into the biological reaction tank 1 through the pipe 2a. The blower 2 and the pipe 2a do not have to be one, and a plurality of them can also be arranged according to the structure and scale of the biological reaction tank 1.

[0050] The sensor 3 is a sensor for measuring the state quantity of the water treatment plant 100, and is provided at multiple locations in the water treatment plant 100. As the sensor 3, various types of sensors for measuring the state of the water treatment plant 100 are included, for example, a flow meter, a wind flow meter, a thermometer, a DO (Dissolved oxygen: dissolved oxygen concentration) meter, a pH meter, an ORP (Oxidation Reduction Potential) meter, an MLSS (Mixed Liquor Suspended Solid: activated sludge suspended matter) meter, a BOD (Biochemical Oxygen Demand) meter, a COD (chemical Oxygen Demand) meter, a NADH (Nicotinamide-Adenine Dinucleotide: reduced nicotinamide adenine dinucleotide) meter, an ammonia nitrogen concentration meter, a total nitrogen concentration meter, a total phosphorus concentration meter, a polyphosphate phosphorus concentration meter, a chlorine concentration meter, etc.

[0051] Data of multiple state quantities measured by the sensor 3 of the water treatment plant 100 is sent to the data storage unit 4 of the water treatment plant operation support system 110 via the signal line 3a.

[0052] The data storage unit 4 of the water treatment plant operation support system 110 stores data of multiple state quantities measured by the sensor 3 sent via the signal line 3a. The more data stored, the better, and it is possible to store data for a period of less than one day to data for a period of several years.

[0053] The parameter adjustment unit 5 is sent the past state quantity data stored in the data storage unit 4 via the signal line 4a, and adjusts the parameters of the simulator built in the simulation unit 10 so that the simulation unit 10 can reproduce the past state quantity data.

[0054] The input / output unit 6 is a device that includes an operation condition selection unit 7 and an output unit 11, and is used by the user to input operation conditions and confirm simulation results. The input / output unit 6 includes, for example, a personal computer, a touch panel, a tablet, a smart phone, etc.

[0055] In the operation condition selection unit 7, the user selects a desired condition from multiple preset operation conditions. In the operation condition selection unit 7, the user selects conditions via the input / output unit 6.

[0056] Figure 2An example of the screen of the operation condition selection unit 7 displayed on the input / output unit 6 is shown. In the operation condition selection unit 7, the user inputs the period that he / she wishes to simulate using the water treatment plant operation support system 110 of Embodiment 1.

[0057] In Figure 2 the example, the period from 0:00 on April 1st to 0:00 on April 2nd is input as the period for which simulation is desired.

[0058] In addition, in the operation condition selection unit 7, for a plurality of items that are operation indices of the water treatment plant 100, a plurality of operation conditions are preset, and the user selects the desired operation conditions for which simulation is to be performed from among them.

[0059] In Figure 2 the example, the items of the operation indices of the water treatment plant are shown as the water extraction volume, the aeration volume, and the return sludge volume. For each item of each operation index, a plurality of, in this example, three modes of operation conditions are set. The user separately selects the operation conditions for which simulation is desired for each item of each operation index.

[0060] Figure 2 The items of the operation indices shown are an example. In a general sewage treatment plant, examples of the items of the operation indices include the water extraction volume, the aeration volume, the return sludge volume, the nitrification liquid circulation volume, the excess sludge extraction volume, the coagulant injection volume, the number of operating pumps, the number of operating blowers, the bypass flow rate, the incinerator temperature, etc. However, since the operation indices are involved in many aspects in accordance with the plant structure of each sewage treatment plant, they can be appropriately changed or increased or decreased. For example, in a sewage treatment plant using the anaerobic-anoxic-aerobic method (Anaerobic-Anoxic-Oxic method: A2O method), it may be set such that the water extraction volume, the aeration volume, the return sludge volume, and the nitrification liquid circulation volume can be selected using the operation condition selection unit 7.

[0061] In the data extraction unit 8, data for the period desired by the user input using the operation condition selection unit 7 is extracted from the data storage unit 4 via the signal line 4b. In addition, in the case where the period input using the operation condition selection unit 7 is before the period stored in the data storage unit 4 or after the period stored in the data storage unit 4, it is also possible to search for data in the data storage unit 4 that matches the characteristics (weekday / holiday, rainfall, season, etc.) of the period input using the operation condition selection unit 7 and create a data set instead.

[0062] The control target value setting unit 9 is sent the operation conditions selected by the user using the operation condition selection unit 7 via the signal line 7a, calculates the control target values required to achieve the operation conditions selected by the user, and inputs them to the simulation unit 10.

[0063] Figure 3This is a diagram showing an example of setting the control target value by the control target value setting unit 9. Assuming that in the operating condition selection unit 7, the pumping volume is selected as "two units operating", the aeration volume is selected as "low", and the return sludge volume is selected as "high" as shown in Figure 2 In this case, in the control target value setting unit 9, specific values of the pumping volume, DO target value, and return sludge ratio are set as the control target values corresponding to the respective operating conditions. For example, when the aeration volume is selected as "low" in the operating condition selection unit 7, 0.5 mg / L is set as the DO target value in the control target value setting unit 9, and when the aeration volume is selected as "medium", a value larger than 0.5 mg / L (e.g., 1 mg / L) is set as the DO target value.

[0064] As a method of converting the operating conditions selected by the operating condition selection unit 7 into specific control target values using the control target value setting unit 9, it is possible to pre-assign the control target values corresponding to the respective operating conditions based on the knowledge of experienced operators, but it is also possible to use a method that makes flexible use of artificial intelligence (hereinafter referred to as "AI"). For example, by making flexible use of AI-based clustering technology, AI can classify the past state quantity data formed by the operation of experienced operators, and automatically calculate the control target values corresponding to the operation of one / two / three units of the pumping volume, low / medium / high of the aeration volume or the return sludge volume as shown in Figure 3 By adopting the method of making flexible use of AI, even when a user with little experience uses the water treatment plant operation support system of this embodiment, it is possible to automatically calculate the control target values in a manner close to the operation of experienced operators.

[0065] In addition, the relationship between the operating conditions and the corresponding control target values does not need to be always constant, and it is preferably changed appropriately according to seasonal changes, the operating conditions of the sewage treatment plant, etc.

[0066] In addition, Figure 3An example of a sewage treatment plant is shown where DO control is adopted as the control method for the aeration volume and ratio control for the influent water volume is adopted as the control method for the return sludge volume. In addition to DO control, the control methods for the aeration volume also include constant aeration volume control, ratio control for the influent water volume, feedback control based on the value of the state quantity in the biological reaction tank 1, etc. The control methods adopted by the sewage treatment plant cover many aspects. Similarly, in the control methods for the return sludge volume, in addition to ratio control for the influent water volume, there is also flow rate constant control, etc. In addition, regarding the above-mentioned various operation indicators, the control methods vary depending on the sewage treatment plant. Therefore, correspondingly, the items and values of the control targets change. For example, if the sewage treatment plant adopts ratio control for the influent water volume as the control method for the aeration volume and flow rate constant control as the control method for the return sludge volume, then Figure 3 the control target value of the aeration volume is not the DO target value but the set aeration volume ratio, and the control target value of the return sludge volume is not the return sludge ratio but the set return sludge flow rate value.

[0067] The simulation unit 10 pre-installs a water quality prediction simulator and performs water quality simulation based on the parameters sent via the signal line 5a from the parameter adjustment unit 5, the state quantity data for the period desired by the user sent via the signal line 8a from the data extraction unit 8, and the control target value sent via the signal line 9a from the control target value setting unit 9.

[0068] In Figure 3 the example of, the simulation unit 10 performs water quality simulation of the operation of the sewage treatment plant in such a way that the pumping volume is 1000 m 3 / hour, the DO in the biological reaction tank 1 is 0.5 mg / L, and the return sludge ratio is 2 times.

[0069] The water quality prediction simulator built into the simulation unit 10 simulates multiple water quality items desired by the user in the biological reaction tank 1 or in the water discharged from the biological reaction tank 1. As representative water quality items, there are DO, pH, ORP, MLSS, BOD, COD, NADH, ammonia nitrogen concentration, total nitrogen concentration, total phosphorus concentration, polyphosphate phosphorus concentration, chlorine concentration, etc. The water quality prediction simulator can be the activated sludge model advocated by IWA (International Water Association), AI such as machine learning, deep learning, genetic algorithm, or empirical formula, etc. As long as it can simulate the water quality items desired by the user, it can be in any form.

[0070] The output unit 11 outputs the water quality simulation result sent via the signal line 10a from the simulation unit 10 to the screen, etc., so that the user can confirm.

[0071] Figure 4 An example of the water quality simulation result displayed on the output unit 11 is shown. When the output unit 11 outputs the COD, TN (Total Nitrogen), and TP (Total Phosphorus) of the water discharged from the biological reaction tank 1, the data of COD, TN, and TP during the period input by the user using the operation condition selection unit 7 are output as a trend graph to the screen. The output form of the data does not necessarily have to be a trend graph, but can be the output of data values in a table form, the output of the average value during the period, etc., and can be displayed in the form desired by the user.

[0072] Use Figure 5 to illustrate the operation process of the water treatment plant operation support system in Embodiment 1.

[0073] There are six steps, steps ST1 to ST6, in the operation process of the water treatment plant operation support system 110.

[0074] In step ST1, the user inputs the operation conditions to the operation condition selection unit 7. After that, the operation process proceeds to steps ST2 to ST4. Here, steps ST2 to ST4 are independent steps, so they can operate in parallel as Figure 5 shown. Thereby, the operation time of the water treatment plant operation support system 110 can be shortened. However, it is not necessary to make steps ST2 to ST4 operate in parallel. Even if two or more of steps ST2 to ST4 operate sequentially, the same result can be obtained.

[0075] In step ST2, the parameter adjustment unit 5 adjusts the parameters of the simulation unit 10 so as to be able to reproduce the past state quantity data stored in the data storage unit 4.

[0076] In step ST3, the data extraction unit 8 extracts the data of the period desired by the user input using the operation condition selection unit 7 from the data storage unit 4.

[0077] In step ST4, the control target value setting unit 9 calculates the control target value required to achieve the operation conditions selected by the user using the operation condition selection unit 7 and inputs it to the simulation unit 10.

[0078] In step ST5, the simulation unit 10 performs water quality simulation based on the parameters sent from the parameter adjustment unit 5, the state quantity data sent from the data extraction unit 8, and the control target value sent from the control target value setting unit 9.

[0079] In step ST6, the output unit 11 outputs the water quality simulation result.

[0080] After the completion of steps ST1 to ST6, when the user inputs different operating conditions using the operating condition selection unit 7, steps ST1 to ST6 are repeated again. Thus, the user can repeatedly confirm the simulation results for multiple operating conditions, and therefore can grasp the influence of water quality caused by the change of operating conditions and search for the optimal operating conditions.

[0081] With the above structure and process, even for a user with little experience in monitoring the operation of the water treatment plant 100, by simply using the operating condition selection unit 7 to select the desired conditions from the preset operating conditions, the control target value setting unit 9 automatically sets the simulated control target value. Therefore, it is possible to simplify the water quality simulation for multiple operating conditions.

[0082] Moreover, the user can confirm the water quality simulation results when the operating conditions are changed, so that the user can search / judge the optimal operating conditions and implement the operation of the actual water treatment plant.

[0083] As described above, according to Embodiment 1, there is provided a water treatment plant operation support system for supporting the operation of a water treatment plant, comprising:

[0084] A data storage unit that stores a state quantity representing the state of the water treatment plant transmitted from the water treatment plant;

[0085] An operating condition selection unit that selects at least one operating condition from a plurality of operating conditions related to the operation of the water treatment plant;

[0086] A control target value setting unit that calculates a control target value corresponding to the operating condition selected by the operating condition selection unit;

[0087] A simulation unit that performs a simulation for predicting at least one of the plurality of state quantities of the water treatment plant based on the state quantity stored in the data storage unit and the control target value calculated by the control target value setting unit; and

[0088] An output unit that outputs the simulation result of the simulation unit,

[0089] Therefore, even a user with little experience in the operation of the water treatment plant can select the optimal operating conditions.

[0090] In addition, there is provided a water treatment plant operation support method for supporting the operation of a water treatment plant, comprising:

[0091] A data storage step of storing a state quantity representing the state of the water treatment plant transmitted from the water treatment plant;

[0092] An operating condition selection process for selecting at least one operating condition from a plurality of operating conditions related to the operation of the water treatment plant;

[0093] A control target value setting process for calculating a control target value corresponding to the operating condition selected in the operating condition selection process;

[0094] A simulation process for performing a simulation of predicting at least one of the plurality of state quantities of the water treatment plant based on the state quantities stored in the data storage process and the control target value calculated in the control target value setting process; and

[0095] An output process for outputting the simulation result of the simulation process,

[0096] Therefore, even a user with little operating experience regarding the water treatment plant can select the optimal operating conditions.

[0097] In addition, the operating condition selection unit is configured to set a plurality of operating conditions for each of a plurality of items that are operating indicators, and select at least one operating condition from the plurality of operating conditions for each item. Therefore, even a user with little operating experience regarding the water treatment plant can easily select the operating conditions.

[0098] In addition, when calculating the control target value corresponding to the operating condition, the control target value setting unit calculates based on a result pre-allocated corresponding to each operating condition based on the knowledge of skilled operators, or calculates based on a result obtained by classifying past state quantity data operated by skilled operators through AI (Artificial Intelligence). Therefore, the control target value can be calculated in a manner close to the operation of skilled operators.

[0099] In addition, the water treatment plant includes a biological reaction tank storing activated sludge, and the simulation unit simulates at least one of the water quality in the biological reaction tank and the water quality of the water discharged from the biological reaction tank. Therefore, even a user with little operating experience regarding the water treatment plant can perform a simulation of water quality close to that of skilled operators.

[0100] Embodiment 2.

[0101] Figure 6 It is a structural diagram showing the water treatment plant and the water treatment plant operation support system according to Embodiment 2.

[0102] The water treatment plant 100A according to Embodiment 2 includes a biological reaction tank 1, a blower 2, a sensor 3, and a sedimentation tank 12. Moreover, the water treatment plant operation support system 110A according to Embodiment 2 includes a data storage unit 4, a parameter adjustment unit 5, an input / output unit 6, a data extraction unit 8, a control target value setting unit 9, a simulation unit 10, and an output unit 11. The input / output unit 6 includes an operation condition selection unit 7 and an output unit 11.

[0103] Hereinafter, details of the water treatment plant and the water treatment plant operation support system according to Embodiment 2 will be described. In addition, in the following description, the points different from Embodiment 1 will be mainly described.

[0104] The water treatment plant 100A according to Embodiment 2 further includes a sedimentation tank 12 in addition to the structure of Embodiment 1. The sedimentation tank 12 is a tank into which water flows from the biological reaction tank 1, and solid substances such as activated sludge are deposited to obtain a supernatant.

[0105] The sensor 3 is a sensor for measuring the state of the water treatment plant, and is provided at a plurality of locations in the water treatment plant 100A including the sedimentation tank 12.

[0106] As the sensor 3, various types of sensors for measuring the state of the water treatment plant 100A are applicable, for example, a flowmeter, an air flow meter, a thermometer, a DO (DISSOLVED OXYGEN) meter, a pH meter, an ORP (Oxidation Reduction Potential) meter, an MLSS (Mixed Liquor Suspended Solid) meter, a BOD (Biochemical Oxygen Demand) meter, a COD (Chemical Oxygen Demand) meter, a NADH (Nicotinamide-Adenine Dinucleotide) meter, an ammonia nitrogen concentration meter, a total nitrogen concentration meter, a total phosphorus concentration meter, a polyphosphate phosphorus concentration meter, a chlorine concentration meter, a sludge interface meter, etc.

[0107] Similar to Embodiment 1, the water treatment plant operation support system 110A according to Embodiment 2 includes a data storage unit 4, a parameter adjustment unit 5, an input / output unit 6, an operation condition selection unit 7, a data extraction unit 8, a control target value setting unit 9, and a simulation unit 10. The input / output unit 6 includes an operation condition selection unit 7 and an output unit 11.

[0108] The simulation unit 10 of Embodiment 2 is pre-built with a prediction simulator for the sludge interface height. And the simulation unit 10 performs a prediction simulation of the sludge interface height in the sedimentation tank 12 based on the parameters sent via the signal line 5a from the parameter adjustment unit 5, the state quantity data for the period desired by the user sent via the signal line 8a from the data extraction unit 8, and the control target value sent via the signal line 9a from the control target value setting unit 9.

[0109] Here, the sludge interface refers to the boundary between the solids deposited in the sedimentation tank 12 and the supernatant liquid, and the distance from the bottom of the sedimentation tank 12 to the sludge interface is the sludge interface height. The prediction simulator for the sludge interface height can be the Vesilind model, which is a physical model that describes the sedimentation phenomenon of activated sludge using formulas, AI such as machine learning, deep learning, genetic algorithms, formulas based on empirical rules, etc. As long as it can simulate the sludge interface height in the sedimentation tank 12, it can be any method.

[0110] The output unit 11 outputs the simulation result of the sludge interface height sent via the signal line 10a from the simulation unit 10 to a screen or the like so that the user can confirm it.

[0111] Other components and operation processes are the same as those in Embodiment 1.

[0112] In Embodiment 2, the simulation unit 10 simulates the sludge interface height in the sedimentation tank 12. However, in terms of stably operating the sewage treatment plant, the sludge interface height is an important monitoring item. When the sludge interface height exceeds the height of the sedimentation tank 12, solids such as activated sludge flow out into the effluent, and the effluent water quality deteriorates significantly. Moreover, since the activated sludge plays a role in purifying pollutants, when the activated sludge flows out from the sedimentation tank 12, subsequent biological treatment becomes difficult. In particular, when the amount of water flowing into the biological reaction tank 1 significantly increases, such as during rainy days, it is impossible to ensure the residence time required for depositing solids in the sedimentation tank 12, and there is a possibility that the sludge interface height will rise.

[0113] For users with little experience, it is often difficult to perform operation monitoring in such a situation. However, in Embodiment 2, through the above structure and operation process, even for users with little experience in the operation monitoring of the water treatment plant, just by using the operation condition selection unit 7 to select the desired conditions from the pre-set operation conditions, the control target value setting unit 9 automatically sets the simulated control target value. Therefore, it is possible to simplify the simulation of the sludge interface height for multiple operation conditions. Moreover, the user can confirm the simulation result of the sludge interface height when the operation conditions are changed, so that the user can search for and judge the optimal operation conditions to perform the operation of the actual water treatment plant.

[0114] As described above, according to Embodiment 2, the same effects as those of Embodiment 1 are achieved. Moreover, the water treatment plant at least includes a sedimentation tank that deposits the solids of the activated sludge and obtains supernatant liquid, and the simulation unit at least simulates the sludge interface height of the sedimentation tank. Therefore, even for users with little operating experience of the water treatment plant, it is possible to perform a simulation of the sludge interface height close to that of an experienced operator.

[0115] Embodiment 3.

[0116] Figure 7 It is a structural diagram showing the water treatment plant and the water treatment plant operation support system according to Embodiment 3.

[0117] The water treatment plant 100B according to Embodiment 3 includes a biological reaction tank 1, a blower 2, a sensor 3, a storage part 13, and a pump 14. Moreover, the water treatment plant operation support system 110B according to Embodiment 3 includes a data storage part 4, a parameter adjustment part 5, an input / output part 6, a data extraction part 8, a control target value setting part 9, and a simulation part 10. The input / output part 6 has an operation condition selection part 7 and an output part 11.

[0118] Hereinafter, details of the water treatment plant and the water treatment plant operation support system according to Embodiment 3 will be described. In addition, in the following description, the description will focus on the points different from those of Embodiment 1 and Embodiment 2.

[0119] The water treatment plant 100B of Embodiment 3 further includes a storage part 13 and a pump 14 in addition to the structure of Embodiment 1.

[0120] The storage part 13 is a part having the following function: to temporarily store the water before flowing into the biological reaction tank 1 in order to adjust the amount of water flowing into the biological reaction tank 1. In a general sewage treatment plant, the inflow channel or the pump well corresponds to the storage part 13, but as long as it has the above function, the storage part 13 is not limited to the inflow channel or the pump well.

[0121] The pump 14 is a pump for pumping up (pumping) the water stored in the storage part 13 and flowing it into the biological reaction tank 1, and the water in the storage part 13 flows into the biological reaction tank 1 via the pipe 14a.

[0122] The sensor 3 is a sensor for measuring the state of the water treatment plant 100B, and is provided at a plurality of locations in the water treatment plant 100B including the pipe for the water flowing into the storage section 13 and the pipe 14a which is the pipe for the water flowing from the storage section 13 to the biological reaction tank 1. As the sensor 3, corresponding are various types of sensors for measuring the state of the water treatment plant. For example, corresponding are a flowmeter, an air flow meter, a thermometer, a DO (Dissolved Oxygen) meter, a pH meter, an ORP (Oxidation Reduction Potential) meter, an MLSS (Mixed Liquor Suspended Solid) meter, a BOD (Biochemical Oxygen Demand) meter, a COD (chemical Oxygen Demand) meter, a NADH (Nicotinamide-Adenine Dinucleotide) meter, an ammonia nitrogen concentration meter, a total nitrogen concentration meter, a total phosphorus concentration meter, a polyphosphate phosphorus concentration meter, a chlorine concentration meter, etc.

[0123] Similar to the first embodiment, the water treatment plant operation support system 110B of the third embodiment includes a data storage unit 4, a parameter adjustment unit 5, an input / output unit 6, an operation condition selection unit 7, a data extraction unit 8, a control target value setting unit 9, and a simulation unit 10. The input / output unit 6 includes an operation condition selection unit 7 and an output unit 11.

[0124] The simulation unit 10 of the third embodiment is pre-built with a water quality prediction simulator and a water level prediction simulator for the storage section 13. And the simulation unit 10 performs a water quality prediction simulation of the water in the biological reaction tank 1 or the water discharged from the biological reaction tank 1, and a water level prediction simulation of the storage section 13 according to the parameters sent from the parameter adjustment unit 5 via the signal line 5a, the state quantity data of the user-expected period sent from the data extraction unit 8 via the signal line 8a, and the control target value sent from the control target value setting unit 9 via the signal line 9a.

[0125] The water level of the storage section 13 refers to the distance from the bottom of the storage section 13 to the water surface of the water stored in the storage section 13, and changes according to the balance between the amount of water flowing into the storage section 13 and the amount of water pumped up by the pump 14. The water level prediction simulator can be a physical model describing the water volume balance of the storage section 13, AI (Artificial Intelligence) such as machine learning, a formula based on empirical rules, etc. As long as it can simulate the water level of the storage section 13, it can be any method.

[0126] The output unit 11 outputs the water quality simulation results sent from the simulation unit 10 via the signal line 10a and the water level simulation results of the storage unit 13 to a screen or the like so that the user can confirm them.

[0127] Other components and operation processes are the same as those in the first embodiment.

[0128] In the third embodiment, in addition to the water quality in the biological reaction tank 1 simulated by the simulation unit 10 in the first embodiment or the water discharged from the biological reaction tank 1, the water level simulation of the storage unit 13 is additionally performed. By temporarily storing water in the storage unit 13, the amount of water flowing into the biological reaction tank 1 can be adjusted. Therefore, the storage unit 13 has the effect of stabilizing the treatment in the biological reaction tank 1.

[0129] However, on the other hand, when a large amount of water different from normal, such as during rain, flows into the water treatment plant 100B, the amount of water flowing into the storage unit 13 significantly increases, and the water level of the storage unit 13 rises. When the water level of the storage unit 13 exceeds the height of the storage unit 13, water overflows from the storage unit 13, and the water treatment plant 100B is invaded by sewage. Therefore, the water treatment plant 100B needs to be operated in such a way that the water level of the storage unit 13 does not exceed the height of the storage unit 13.

[0130] In addition, in order to lower the water level of the storage unit 13, it is only necessary to operate the pump 14 to increase the amount of water pumped up to the biological reaction tank 1. However, when the amount of water flowing into the biological reaction tank 1 increases, the pollutant load on the biological reaction tank 1 increases, and the quality of the discharged water may deteriorate.

[0131] Therefore, there is a trade-off relationship between the water level of the storage unit 13 and the water quality of the water discharged from the biological reaction tank 1, and it is necessary to monitor the operation of the entire water treatment plant 100B while considering both.

[0132] For users with little experience, it is often difficult to monitor the operation of the water treatment plant 100B while considering such complex factors. However, in the third embodiment, through the above structure and operation process, even for users with little experience in monitoring the operation of the water treatment plant 100B, by simply selecting a desired condition from the preset operation conditions using the operation condition selection unit 7, the control target value setting unit 9 automatically sets the simulated control target value. Therefore, it is possible to simplify the water quality and water level simulation of the storage unit 13 for multiple operation conditions. Moreover, the user can confirm the results of the water quality and the water level of the storage unit 13 when the operation conditions are changed, so that the user can search for and judge the operation conditions under which both the water quality of the water discharged from the biological reaction tank 1 and the water level of the storage unit 13 are optimal to implement the operation of the actual water treatment plant.

[0133] As described above, according to Embodiment 3, the same effects as those of Embodiments 1 and 2 are achieved, and the water treatment plant includes a biological reaction tank storing activated sludge and a storage tank temporarily storing water flowing into the biological reaction tank. The simulation unit at least simulates the water level of the storage tank. Therefore, even for a user with little operating experience of the water treatment plant, it is possible to simulate the water level of the storage tank close to that of a skilled operator.

[0134] Embodiment 4.

[0135] Figure 8 FIG. is a structural diagram showing a water treatment plant and a water treatment plant operation support system according to Embodiment 4.

[0136] The water treatment plant 100C according to Embodiment 4 includes a biological reaction tank 1, a blower 2, and a sensor 3. Further, the water treatment plant operation support system 110C according to Embodiment 4 includes a data storage unit 4, a parameter adjustment unit 5, an input / output unit 6, a data extraction unit 8, and a simulation unit 10. The input / output unit 6 has a control target value input unit 20, an operation condition display unit 30, and an output unit 11.

[0137] Hereinafter, details of the water treatment plant and the water treatment plant operation support system according to Embodiment 4 will be described. In addition, in the following description, the description will focus on the points different from those of Embodiments 1 to 3.

[0138] In Embodiment 4, the control target value input unit 20 is provided in the input / output unit 6, and the user can directly input a control target value in the control target value input unit 20. The control target value input through the control target value input unit 20 is transmitted to the simulation unit 10 via a signal line 9a and is also transmitted to the operation condition display unit 30 via a signal line 9b.

[0139] When the control target value is transmitted to the operation condition display unit 30 via the signal line 9b, the operation conditions corresponding to the control target value input using the control target value input unit 20 are displayed in the operation condition display unit 30.

[0140] In the operation condition display unit 30, a plurality of operation conditions are set for each of a plurality of items serving as operation indicators, and the operation conditions for each of the items corresponding to the control target value input using the control target value input unit 20 are displayed.

[0141] At Figure 2 and Figure 3When explaining by way of example, as multiple items that become operation indicators, there are the pumping volume, the aeration volume, and the return sludge volume. Regarding each item, multiple operation conditions of "operation of 1 unit", "operation of 2 units", and "operation of 3 units" are set for the pumping volume, multiple operation conditions of "low", "medium", and "high" are set for the aeration volume, and multiple operation conditions of "low", "medium", and "high" are set for the return sludge volume. And, for example, when 1 mg / L is input as the DO target value in the control target value input unit 20, the operation condition of the aeration volume is not "low" but corresponds to "medium", and on the screen of the operation condition display unit 30 of the input / output unit 6, the control target value corresponding to the operation condition of the aeration volume being "medium" is shown.

[0142] In the simulation unit 10, in accordance with the control target value input by the control target value input unit 20, a simulation of the situation of operating the water treatment plant is performed. One or more simulators among a water quality prediction simulator, a sludge interface height prediction simulator, and a water level prediction simulator are built in the simulation unit 10.

[0143] Other constituent elements and operation processes are the same as those in Embodiments 1 to 3.

[0144] With the structure as described above, for a skilled user or the like who has rich knowledge about the operation monitoring of the water treatment plant, instead of using the operation condition selection unit 7 in Embodiments 1 to 3 to select the preset operation conditions, the user can directly input the control target value to be set using the control target value input unit 20, so that the operation conditions desired by the user can be simulated more precisely. In addition, by showing the operation conditions corresponding to the control target value input using the control target value input unit 20 in the operation condition display unit 30, even a user with little experience can easily understand the simulation of what operation conditions are to be implemented.

[0145] In Embodiment 4, when it is also assumed for use by a skilled user who has rich knowledge about the operation monitoring of the water treatment plant, instead of using the operation condition selection unit 7 to select the preset operation conditions, the user can directly input the control target value to be set using the control target value input unit 20. Among them, in this case, by configuring to show the operation conditions corresponding to the control target value input using the control target value input unit 20 in the operation condition display unit 30, a user with little experience can learn the simulation under which operation conditions are implemented.

[0146] As described above, according to Embodiment 4, it is a water treatment plant operation support system for supporting the operation of a water treatment plant, comprising:

[0147] A data storage unit that stores a state quantity representing the state of the water treatment plant sent from the water treatment plant;

[0148] A control target value input unit that inputs a control target value related to the operation of the water treatment plant;

[0149] An operating condition display unit that displays at least one operating condition among a plurality of operating conditions corresponding to the control target value input by the control target value input unit;

[0150] A simulation unit that performs a simulation related to the operation of the water treatment plant based on the state quantity stored in the data storage unit and the control target value input by the control target value input unit; and

[0151] An output unit that outputs the simulation result of the simulation unit,

[0152] Therefore, even a user with little experience in the operation of the water treatment plant can learn the optimal operating conditions.

[0153] In addition, the operating condition display unit sets a plurality of operating conditions for each of a plurality of items that are operating indicators, and displays each operating condition for each item corresponding to the control target value input by the control target value input unit. Therefore, even a user with little experience in the operation of the water treatment plant can learn the optimal operating conditions.

[0154] In addition, it is a water treatment plant operation support method for supporting the operation of a water treatment plant, comprising:

[0155] A data storage process for storing a state quantity representing the state of the water treatment plant transmitted from the water treatment plant;

[0156] A control target value input process for inputting a control target value related to the operation of the water treatment plant;

[0157] An operating condition display process for displaying at least one operating condition among a plurality of operating conditions corresponding to the control target value input in the control target value input process;

[0158] A simulation process for performing a simulation related to the operation of the water treatment plant based on the state quantity stored in the data storage process and the control target value input in the control target value input process; and

[0159] An output process for outputting the simulation result of the simulation process,

[0160] Therefore, even a user with little experience in the operation of the water treatment plant can learn the optimal operating conditions.

[0161] In addition, the water treatment plant operation support system of Embodiment 4 and the water treatment plant operation support systems of Embodiments 1 to 3 can be combined and implemented.

[0162] That is, a water treatment plant operation support system for supporting the operation of a water treatment plant includes:

[0163] A data storage unit that stores a state quantity indicating the state of the water treatment plant transmitted from the water treatment plant;

[0164] An operation condition selection unit that selects at least one operation condition from a plurality of operation conditions related to the operation of the water treatment plant;

[0165] A control target value setting unit that calculates a control target value corresponding to the operation condition selected by the operation condition selection unit;

[0166] A simulation unit that performs a simulation for predicting at least one of the plurality of state quantities of the water treatment plant based on the state quantity stored in the data storage unit and the control target value calculated by the control target value setting unit; and

[0167] An output unit that outputs the simulation result of the simulation unit, and

[0168] The water treatment plant operation support system includes:

[0169] A control target value input unit that inputs a control target value related to the operation of the water treatment plant; and

[0170] An operation condition display unit that displays at least one operation condition among a plurality of operation conditions corresponding to the control target value input by the control target value input unit,

[0171] The simulation unit may be configured to perform a simulation related to the operation of the water treatment plant based on the state quantity stored in the data storage unit and the control target value input by the control target value input unit.

[0172] Figure 9 It is a diagram showing a structural example of the hardware of the water treatment plant operation support systems 110, 110A, 110B, and 110C according to Embodiments 1 to 4.

[0173] As Figure 9 shown, the water treatment plant operation support systems 110, 110A, 110B, and 110C include an arithmetic processing device 1000 and an input / output unit 6. The arithmetic processing device 1000 is composed of a processor 1010 and a storage device 1020. The storage device 1020 includes a volatile storage device such as a random access memory (not shown) and a non-volatile auxiliary storage device such as a flash memory. In addition, a hard disk may be provided instead of the flash memory.

[0174] The processor 1010 executes a program input from the storage device 1020. In this case, the program is input to the processor 1010 from the auxiliary storage device via the volatile storage device. Additionally, the processor 1010 can output data such as calculation results to the volatile storage device of the storage device 1020, or can save the data to the auxiliary storage device via the volatile storage device.

[0175] The processor 1010 executes the arithmetic processing of the parameter adjustment unit 5, data extraction unit 8, control target value setting unit 9, and simulation unit 10 described in the above embodiment. The storage device 1020 includes a data storage unit 4.

[0176] In addition, in the above embodiment, a sewage treatment plant is taken as an example of the water treatment plant, but the technology disclosed in the present application can be applied to all water treatment plants including water purification plants and sewage treatment plants.

[0177] For example, when applied to a water purification plant as the water treatment plant, the water treatment plant includes a sump, a coagulation tank, a sedimentation tank, a filtration tank, etc. The items of the operation indicators of the operation condition selection unit and the operation condition display unit of the water treatment plant operation support system include the sodium hypochlorite injection amount, ozone diffusion amount, coagulant injection amount, etc.

[0178] This application describes various exemplary embodiments and examples, but the various features, forms, and functions described in one or more embodiments are not limited to the application of a specific embodiment, but can be applied alone or in various combinations to the embodiments.

[0179] Therefore, countless variations not illustrated can be envisioned within the scope of the technology disclosed in this application. For example, it is assumed to include cases where at least one component is deformed, cases where at least one component is added, or cases where at least one component is omitted, and cases where at least one component is extracted and combined with the components of other embodiments.

[0180] Description of reference numerals

[0181] 1: Biological reaction tank; 2: Blower; 3: Sensor; 4: Data storage unit; 5: Parameter adjustment unit; 6: Input / output unit; 7: Operation condition selection unit; 8: Data extraction unit; 9: Control target value setting unit; 10: Simulation unit; 11: Output unit; 12: Sedimentation tank; 13: Deposition unit; 20: Control target value input unit; 30: Operation condition display unit; 100, 100A, 100B, 100C: Water treatment plant; 110, 110A, 110B, 110C: Water treatment plant operation support system.

Claims

1. A water treatment plant operation support system that supports the operation of a water treatment plant, wherein, The water treatment plant operation support system includes: A data storage unit that stores state quantities representing the state of the water treatment plant sent from the water treatment plant; An operation condition selection unit that selects at least one operation condition from a plurality of operation conditions related to the operation of the water treatment plant; A control target value setting unit that calculates a control target value corresponding to the operation condition selected by the operation condition selection unit; A simulation unit that performs a simulation for predicting at least one of the plurality of state quantities of the water treatment plant based on the state quantity stored in the data storage unit and the control target value calculated by the control target value setting unit; And An output unit that outputs the simulation result of the simulation unit.

2. The water treatment plant operation support system according to claim 1, wherein The operation condition selection unit is configured to set a plurality of operation conditions for each of a plurality of items that are operation indicators, and for each of the items, select at least one operation condition from the plurality of operation conditions.

3. The water treatment plant operation support system according to claim 1 or 2, wherein When calculating the control target value corresponding to the operation condition, the control target value setting unit calculates based on a result pre-allocated corresponding to each operation condition based on the knowledge of skilled operators, or calculates based on a result obtained by classifying past state quantity data operated by skilled operators through AI (artificial intelligence).

4. A water treatment plant operation support system that supports the operation of a water treatment plant, wherein, The water treatment plant operation support system includes: A data storage unit that stores state quantities representing the state of the water treatment plant sent from the water treatment plant; A control target value input unit that inputs a control target value related to the operation of the water treatment plant; An operation condition display unit that displays at least one operation condition among a plurality of operation conditions corresponding to the control target value input by the control target value input unit; A simulation unit that performs a simulation related to the operation of the water treatment plant based on the state quantity stored in the data storage unit and the control target value input by the control target value input unit; And An output unit that outputs the simulation result of the simulation unit.

5. The water treatment plant operation support system according to claim 4, wherein The operation condition display unit sets a plurality of operation conditions for each of a plurality of items that are operation indicators, and displays each operation condition for each item corresponding to the control target value input by the control target value input unit.

6. The water treatment plant operation support system according to any one of claims 1 to 5, wherein The water treatment plant includes a biological reaction tank that stores activated sludge, The simulation unit simulates at least one of the water quality in the biological reaction tank and the water quality of the water discharged from the biological reaction tank.

7. The water treatment plant operation support system according to any one of claims 1 to 6, wherein The water treatment plant at least includes a sedimentation tank that deposits the solids of the activated sludge and obtains supernatant liquid, The simulation unit at least simulates the sludge interface height of the sedimentation tank.

8. The water treatment plant operation support system according to any one of claims 1 to 7, wherein the water treatment plant includes a biological reaction tank storing activated sludge and a storage tank temporarily storing water flowing into the biological reaction tank; the simulation unit simulates at least the water level of the storage tank.

9. A method for supporting the operation of a water treatment plant, which supports the operation of the water treatment plant, wherein, The water treatment plant operation support method includes: a data storage step of storing a state quantity representing the state of the water treatment plant transmitted from the water treatment plant; an operation condition selection step of selecting at least one operation condition from a plurality of operation conditions related to the operation of the water treatment plant; a control target value setting step of calculating a control target value corresponding to the operation condition selected in the operation condition selection step; a simulation step of performing a simulation for predicting at least one of the plurality of state quantities of the water treatment plant based on the state quantity stored in the data storage step and the control target value calculated in the control target value setting step; and an output step of outputting the simulation result of the simulation step.

10. A method for supporting the operation of a water treatment plant, which supports the operation of the water treatment plant, wherein, The water treatment plant operation support method includes: a data storage step of storing a state quantity representing the state of the water treatment plant transmitted from the water treatment plant; a control target value input step of inputting a control target value related to the operation of the water treatment plant; an operation condition display step of displaying at least one of a plurality of operation conditions corresponding to the control target value input in the control target value input step; a simulation step of performing a simulation related to the operation of the water treatment plant based on the state quantity stored in the data storage step and the control target value input in the control target value input step; and an output step of outputting the simulation result of the simulation step.

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