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

Abstract

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

[0002] Previously, there was a wastewater treatment plant operation management system that simulated water quality based on state variables in the wastewater treatment plant. This system included: an input / output unit for inputting the operating conditions of the wastewater treatment plant; a data storage unit for storing the state variables sent from the wastewater treatment plant; a water quality prediction unit with a pre-built water quality simulator that simulated water quality based on the state variables from the data storage unit and the operating conditions from the input / output unit; and a parameter input unit for inputting parameters of the water quality simulator to the water quality prediction unit. The system also output the results of the water quality simulation produced by the water quality prediction unit to the input / output unit.

[0003] Existing technical documents

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

[0005] Regarding the operation of water treatment plants, including wastewater treatment plants as described above, an operation support technology is proposed that aims to eliminate the need for operation monitoring based on the expertise of skilled operators.

[0006] Here, the operating conditions of water treatment plants, including sewage treatment plants and water purification plants, are not a single model. Operators must consider multiple factors such as changes in inflow load, weather, and the impact of equipment shutdowns at the treatment plant, and select the optimal operating conditions from various models.

[0007] Therefore, for users with little experience, choosing the optimal operating conditions from various modes becomes a difficult task.

[0008] This application discloses a technology for solving the aforementioned problems, with the aim of providing a water treatment plant operation support system and method that allows even users with little experience in operating water treatment plants to select optimal operating 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, and includes:

[0010] The data storage unit stores state quantities representing the state of the water treatment plant, sent from the water treatment plant.

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

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

[0013] The simulation unit performs a simulation to predict at least one of the multiple state quantities of the water treatment plant, based on the state quantities stored in the data storage unit and the control target value calculated by the control target value setting unit; and

[0014] The output section outputs the simulation results from the simulation section.

[0015] 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, and includes:

[0016] The data storage unit stores state quantities representing the state of the water treatment plant, sent from the water treatment plant.

[0017] The control target value input unit allows input of control target values ​​related to the operation of the water treatment plant.

[0018] The operation condition display unit displays at least one of a plurality of operation conditions corresponding to the control target value input by the control target value input unit;

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

[0020] The output section outputs the simulation results from the simulation section.

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

[0022] The data storage process stores state quantities representing the state of the water treatment plant, sent from the water treatment plant.

[0023] The operation condition selection process involves selecting at least one operation condition from a plurality of operation conditions related to the operation of the water treatment plant.

[0024] The control target value setting process calculates the control target value corresponding to the operating condition selected in the operating condition selection process.

[0025] The simulation process involves predicting at least one of a 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

[0026] Output process, output the simulation results of the simulated process.

[0027] The water treatment plant operation support method disclosed in this application is a water treatment plant operation support method that supports the operation of a water treatment plant, and includes:

[0028] The data storage process stores state quantities representing the state of the water treatment plant, sent from the water treatment plant.

[0029] The control target value input process involves inputting control target values ​​related to the operation of the water treatment plant.

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

[0031] The simulation process involves performing a simulation related to the operation of the water treatment plant based on the state quantities stored in the data storage process and the control target values ​​input in the control target value input process; and

[0032] Output process, output the simulation results of the simulated process.

[0033] According to the water treatment plant operation support system and water treatment plant operation support method disclosed in this application, even users with little experience in operating water treatment plants can select the optimal operating conditions. Attached Figure Description

[0034] Figure 1 This is a structural diagram showing the water treatment plant and the water treatment plant operation support system involved in Embodiment 1.

[0035] Figure 2 This is a diagram showing an example of a screen displaying the operating condition selection unit according to Embodiment 1.

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

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

[0038] Figure 5 This is a diagram illustrating the operation flow of the water treatment plant operation support system according to Embodiment 1.

[0039] Figure 6 This is a structural diagram showing the water treatment plant and the water treatment plant operation support system involved in Embodiment 2.

[0040] Figure 7This is a structural diagram showing the water treatment plant and the water treatment plant operation support system involved in Embodiment 3.

[0041] Figure 8 This is a structural diagram showing the water treatment plant and the water treatment plant operation support system involved in Embodiment 4.

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

[0043] Hereinafter, preferred embodiments of the present disclosure will be described in detail with reference to the accompanying drawings. Furthermore, the present disclosure is not limited to the following description, and appropriate changes can be made without departing from the spirit of the disclosure. Additionally, in this specification and the accompanying drawings, the same reference numerals are used for constituent elements that have substantially the same function, thereby omitting repetitive descriptions. Furthermore, the diagrams in the accompanying drawings showing the structure of the system and the shapes of the components are only schematic representations of the structure and shapes of the system and the components. The relative sizes and relative positions of the components illustrated in the various drawings may not accurately represent the actual size and positional relationships between the components.

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

[0045] Implementation method 1.

[0046] Figure 1 This is a structural diagram showing the water treatment plant and the water treatment plant operation support system involved in Embodiment 1.

[0047] The water treatment plant 100 according to Embodiment 1 includes a bioreactor 1, a blower 2, and a sensor 3. Furthermore, 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 includes an operation condition selection unit 7 and an output unit 11.

[0048] The following describes the details of the water treatment plant and the water treatment plant operation support system involved in Embodiment 1.

[0049] The biological reactor 1 of the water treatment plant 100 stores live sludge inside. Air supplied from the blower 2 is delivered into the biological reactor 1 through pipe 2a. The blower 2 and pipe 2a do not necessarily have to be a single unit; multiple units can be configured depending on the structure and scale of the biological reactor 1.

[0050] Sensor 3 is a sensor used to measure the state of the water treatment plant 100, and is installed in multiple locations within the water treatment plant 100. Sensor 3 includes various types of sensors used to measure the state of the water treatment plant 100, such as flow meters, air volume meters, thermometers, DO (Dissolved oxygen) meters, pH meters, ORP (Oxidation Reduction Potential) meters, MLSS (Mixed Liquor Suspended Solid) meters, BOD (Biochemical Oxygen Demand) meters, COD (Chemical Oxygen Demand) meters, NADH (Nicotinamide-Adenine Dinucleotide) meters, ammonia nitrogen meters, total nitrogen meters, total phosphorus meters, polyphosphate phosphorus concentration meters, and chlorine meters.

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

[0052] The data storage unit 4 of the water treatment plant operation support system 110 stores data on multiple status quantities measured by the sensor 3 and transmitted via the signal line 3a. The more data stored, the better; it can store data for periods less than one day to data covering several years.

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

[0054] The input / output unit 6 is a device that includes an operating condition selection unit 7 and an output unit 11, and allows the user to input operating conditions and confirm simulation results. The input / output unit 6 may include, for example, a personal computer, a touch panel, a tablet, or a smartphone.

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

[0056] Figure 2An example of a screen displayed on the operation condition selection unit 7 of the input / output unit 6 is shown. In the operation condition selection unit 7, the user inputs the period for which they wish to simulate the water treatment plant operation support system 110 of Embodiment 1.

[0057] exist Figure 2 In the example, the period from 00:00 on April 1st to 00:00 on April 2nd was entered as the period during which the simulation was to be carried out.

[0058] In addition, in the operating condition selection unit 7, multiple operating conditions are preset for various items that are the operating indicators of the water treatment plant 100, and the user can select the desired operating conditions from them to perform the simulation.

[0059] exist Figure 2 In the example, the operational indicators of the water treatment plant are shown as pumping volume, aeration volume, and sludge return volume. For each operational indicator, multiple, in this example, three, operating conditions are set. The user selects the operating conditions they wish to simulate for each operational indicator.

[0060] Figure 2 The operational indicators shown are just one example. In a typical wastewater treatment plant, operational indicators include pumping volume, aeration volume, return sludge volume, nitrification liquor circulation volume, excess sludge removal volume, flocculant injection volume, number of operating pumps, number of operating blowers, bypass flow rate, and incinerator temperature. However, the operational indicators are closely related to the plant structure of each wastewater treatment plant and can be modified or adjusted accordingly. For example, in a wastewater treatment plant using the anaerobic-anoxic-oxic (A2O) process, the operation condition selection unit 7 may be configured to allow selection of pumping volume, aeration volume, return sludge volume, and nitrification liquor circulation volume.

[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 signal line 4b. Furthermore, if the period input using the operation condition selection unit 7 is a period prior to or subsequent to the period stored in the data storage unit 4, a dataset can be created by searching the data storage unit 4 for data matching the characteristics (weekday / rest day, rainfall, season, etc.) of the period input using the operation condition selection unit 7.

[0062] The control target value setting unit 9 receives the operating conditions selected by the user using the operating condition selection unit 7 via the signal line 7a, calculates the control target value required to achieve the operating conditions selected by the user, and inputs it into the analog unit 10.

[0063] Figure 3This diagram illustrates an example of setting the control target value for the control target value setting unit 9. (The last sentence appears to be incomplete and possibly contains errors.) Figure 2 When the pumping rate is selected as "2 units operating", the aeration rate as "low", and the return sludge rate as "high" in the operation condition selection unit 7, the specific values ​​of the pumping rate, DO target value, and return sludge ratio are set in the control target value setting unit 9 as control target values ​​corresponding to each operation condition. For example, when the aeration rate is selected as "low" in the operation condition selection unit 7, the DO target value is set to 0.5 mg / L in the control target value setting unit 9, and when the aeration rate 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 transforming the operating conditions selected by the operating condition selection unit 7 into specific control target values ​​using the control target value setting unit 9, control target values ​​corresponding to each operating condition can also be pre-allocated based on the knowledge of skilled operators. However, methods that flexibly utilize artificial intelligence (AI) can also be used. For example, by flexibly utilizing AI-based clustering technology, AI can classify past state data previously generated by skilled operators and automatically calculate and match them. Figure 3 The control target values ​​shown correspond to low / medium / high operation of 1 / 2 / 3 pumping units, aeration volume, or return sludge volume. By employing a flexible AI approach, the control target values ​​can be automatically calculated in a manner close to that of a skilled operator, even when using the water treatment plant operation support system of this embodiment with less experienced users.

[0065] In addition, the relationship between operating conditions and their corresponding control target values ​​does not need to be constant. It is preferable to adjust them appropriately according to seasonal changes, the operating conditions of the wastewater treatment plant, etc.

[0066] also, Figure 3This example illustrates a wastewater treatment plant where DO control is employed as the aeration rate control method, and a multiplier control based on the influent flow rate is employed as the return sludge rate control method. Besides DO control, aeration rate control methods include constant aeration rate control, multiplier control based on the influent flow rate, and feedback control based on the state variables within the bioreactor 1. The control methods employed by the wastewater treatment plant encompass a variety of approaches. Similarly, in controlling the return sludge rate, in addition to multiplier control based on the influent flow rate, constant flow rate control also exists. Furthermore, regarding the operational indicators shown above, the control methods differ depending on the wastewater treatment plant, therefore, the items and values ​​that are the control targets vary accordingly. For example, in a wastewater treatment plant where the aeration rate control method employs a multiplier control based on the influent flow rate, and the return sludge rate control method employs constant flow rate control, then… Figure 3 The target value for aeration volume is not the DO target value but is set as an aeration volume ratio, and the target value for return sludge volume is not the return sludge ratio but is set as a return sludge flow rate.

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

[0068] exist Figure 3 In the example, the simulation unit 10 performs pumping operations to achieve a pumping rate of 1000 m³ / h based on the control target value set by the control target value setting unit 9. 3 Water quality simulation of a wastewater treatment plant operating in a manner that achieves a DO concentration of 0.5 mg / L in bioreactor 1 and a return sludge ratio of 2 times per hour.

[0069] The water quality prediction simulator built into the simulation unit 10 simulates multiple water quality parameters desired by the user in the bioreactor 1 or in the water discharged from the bioreactor 1. Representative water quality parameters include DO, pH, ORP, MLSS, BOD, COD, NADH, ammonia nitrogen concentration, total nitrogen concentration, total phosphorus concentration, polyphosphate phosphorus concentration, and chlorine concentration. The water quality prediction simulator can be any type of AI, such as the activated sludge model advocated by the IWA (International Water Association), machine learning, deep learning, genetic algorithms, or rule-of-fact formulas, as long as it can simulate the water quality parameters desired by the user.

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

[0071] Figure 4 An example of water quality simulation results 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 bioreactor 1, the COD, TN, and TP data for the period input by the user using the operating condition selection unit 7 are displayed on the screen as a trend graph. The output format of the data does not necessarily have to be a trend graph; it can be a tabular output of data values, an average value for the period, or other display in a format desired by the user.

[0072] use Figure 5 To illustrate the operation flow of the water treatment plant operation support system in Implementation Method 1.

[0073] The operation flow of the water treatment plant operation support system 110 consists of six steps, ST1 to ST6.

[0074] In step ST1, the user inputs operating conditions into the operating condition selection unit 7. Afterwards, the operation flow proceeds to steps ST2 to ST4. Here, steps ST2 to ST4 are independent steps, so they can be... Figure 5 The steps ST2 to ST4 are operated in parallel as shown. This reduces the operating time of the water treatment plant operation support system 110. However, it is not necessary for steps ST2 to ST4 to operate in parallel; the same result can be obtained even if two or more of steps ST2 to ST4 are operated sequentially.

[0075] In step ST2, the parameter adjustment unit 5 adjusts the parameters of the simulation unit 10 in a manner that can reproduce the past state data stored in the data storage unit 4.

[0076] In step ST3, the data for the period desired by the user, which is input by the operating condition selection unit 7, is extracted from the data storage unit 4 in the data extraction unit 8.

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

[0080] After steps ST1 to ST6 are completed, if the user inputs different operating conditions using the operating condition selection unit 7, steps ST1 to ST6 are repeated again. This allows the user to repeatedly verify the simulation results for multiple operating conditions, thus understanding the impact of changes in operating conditions on water quality and searching for the optimal operating conditions.

[0081] With the structure and process described above, even users with little experience in monitoring the operation of the water treatment plant 100 can simply select the desired condition from the preset operating conditions using the operating condition selection unit 7, and the control target value setting unit 9 will automatically set the simulated control target value, thus simplifying water quality simulation for multiple operating conditions.

[0082] Furthermore, users can verify the water quality simulation results when operating conditions are changed, thus enabling them to search for / determine the optimal operating conditions for actual water treatment plant operation.

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

[0084] The data storage unit stores state quantities representing the state of the water treatment plant, sent from the water treatment plant.

[0085] The operation condition selection unit selects at least one operation condition from a plurality of operation conditions related to the operation of the water treatment plant.

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

[0087] The simulation unit performs a simulation to predict at least one of the multiple state quantities of the water treatment plant, based on the state quantities stored in the data storage unit and the control target value calculated by the control target value setting unit; and

[0088] The output section outputs the simulation results from the simulation section.

[0089] Therefore, even users with little experience in operating water treatment plants can choose the optimal operating conditions.

[0090] Additionally, there is a water treatment plant operation support method, which provides support for the operation of a water treatment plant and includes:

[0091] The data storage process stores state quantities representing the state of the water treatment plant, sent from the water treatment plant.

[0092] The operation condition selection process involves selecting at least one operation condition from a plurality of operation conditions related to the operation of the water treatment plant.

[0093] The control target value setting process calculates the control target value corresponding to the operating condition selected in the operating condition selection process.

[0094] The simulation process involves predicting at least one of a 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] Output the simulation process and its simulation results.

[0096] Therefore, even users with little experience in operating water treatment plants can choose the optimal operating conditions.

[0097] Furthermore, the operating condition selection unit is configured to set multiple operating conditions for each of the multiple items that become operating indicators, and to select at least one operating condition from the multiple operating conditions for each item. Therefore, even users with little experience in operating water treatment plants can easily select operating conditions.

[0098] Furthermore, when calculating the control target value corresponding to the operating conditions, the control target value setting unit calculates the value based on the results of pre-allocation corresponding to each operating condition based on the knowledge of skilled operators, or it calculates the value based on the results of classifying past state data operated by skilled operators using AI (Artificial Intelligence). Therefore, it can calculate the control target value in a manner that is close to the operation of skilled operators.

[0099] In addition, the water treatment plant is equipped with a bioreactor containing activated sludge. The simulation unit simulates at least one of the water quality inside the bioreactor and the water quality discharged from the bioreactor. Therefore, even users with little experience in operating water treatment plants can simulate water quality close to that of skilled operators.

[0100] Implementation method 2.

[0101] Figure 6 This is a structural diagram showing the water treatment plant and the water treatment plant operation support system involved in Embodiment 2.

[0102] The water treatment plant 100A according to Embodiment 2 includes a biological reactor 1, a blower 2, a sensor 3, and a sedimentation tank 12. Furthermore, 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] The following describes the details of the water treatment plant and its operation support system according to Embodiment 2. Furthermore, the following description focuses on the differences from Embodiment 1.

[0104] In addition to the structure of Embodiment 1, the water treatment plant 100A of Embodiment 2 also includes a sedimentation tank 12. The sedimentation tank 12 is a tank in which water flows in from the biological reaction tank 1, causing solids such as activated sludge to settle and obtain supernatant.

[0105] Sensor 3 is a sensor used to measure the state of the water treatment plant and is installed in multiple locations in the water treatment plant 100A, including the sedimentation tank 12.

[0106] As sensor 3, there are various types of sensors used to measure the state of the water treatment plant 100A, such as flow meters, air volume meters, thermometers, DO (Dissolved Oxygen) meters, pH meters, ORP (Oxidation Reduction Potential) meters, MLSS (Mixed Liquor Suspended Solid) meters, BOD (Biochemical Oxygen Demand) meters, COD (Chemical Oxygen Demand) meters, NADH (Nicotinamide-Adenine Dinucleotide) meters, ammonia nitrogen meters, total nitrogen meters, total phosphorus meters, polyphosphate phosphorus meters, chlorine meters, sludge interface meters, etc.

[0107] The water treatment plant operation support system 110A of Embodiment 2 is similar to that of Embodiment 1, and 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 an analog unit 10. The input / output unit 6 includes an operation condition selection unit 7 and an output unit 11.

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

[0109] Here, the sludge interface refers to the boundary between the solids and supernatant deposited in the settling tank 12, and the distance from the bottom of the settling tank 12 to the sludge interface is the sludge interface height. The sludge interface height prediction simulator can be any model, such as the Vesilind model (which uses a formula to describe the deposition phenomenon of activated sludge), AI such as machine learning, deep learning, and genetic algorithms, or formulas based on empirical rules. As long as it can simulate the sludge interface height of the settling tank 12, it can be any method.

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

[0111] The other components and operating procedures are the same as in Implementation Method 1.

[0112] In Embodiment 2, the simulation unit 10 simulates the sludge interface height of the sedimentation tank 12. However, the sludge interface height is an important monitoring item for ensuring the stable operation of the wastewater treatment plant. When the sludge interface height exceeds the height of the sedimentation tank 12, solids such as activated sludge flow out into the effluent, significantly deteriorating the effluent quality. Moreover, since activated sludge plays a role in purifying pollutants, subsequent biological treatment becomes difficult when activated sludge flows out of the sedimentation tank 12. In particular, when the volume of water flowing into the biological reactor 1 increases significantly, such as during rainy days, it is impossible to ensure the retention time required for solids to settle in the sedimentation tank 12, and there is a possibility that the sludge interface height may rise.

[0113] For users with limited experience, operational monitoring can often be difficult under such circumstances. However, in Implementation Method 2, thanks to the structure and operation flow described above, even users with limited experience in monitoring the operation of water treatment plants can easily achieve this. They simply use the Operation Condition Selection Unit 7 to select the desired condition from the preset operating conditions, and the Control Target Value Setting Unit 9 automatically sets the simulated control target value. This simplifies the simulation of sludge interface height for multiple operating conditions. Furthermore, users can verify the simulation results of sludge interface height when operating conditions are changed, allowing them to search for and determine the optimal operating conditions for actual water treatment plant operation.

[0114] As described above, according to Embodiment 2, the same effect is achieved as in Embodiment 1. Furthermore, the water treatment plant has at least a sedimentation tank for depositing solids from activated sludge to obtain supernatant. The simulation unit at least simulates the sludge interface height of the sedimentation tank. Therefore, even users with little experience in operating water treatment plants can simulate the sludge interface height that is close to that of skilled operators.

[0115] Implementation method 3.

[0116] Figure 7 This is a structural diagram showing the water treatment plant and the water treatment plant operation support system involved in Embodiment 3.

[0117] The water treatment plant 100B according to Embodiment 3 includes a bioreactor 1, a blower 2, a sensor 3, a storage unit 13, and a pump 14. Furthermore, the water treatment plant operation support system 110B according to Embodiment 3 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 includes an operation condition selection unit 7 and an output unit 11.

[0118] The following describes the details of the water treatment plant and its operation support system according to Embodiment 3. Furthermore, the following description focuses on the differences from Embodiments 1 and 2.

[0119] In addition to the structure of Embodiment 1, the water treatment plant 100B of Embodiment 3 also includes a storage unit 13 and a pump 14.

[0120] The storage section 13 is a part that functions as follows: to temporarily store water that flows into the biological reactor 1 in order to adjust the flow rate of water into the biological reactor 1. In a typical wastewater treatment plant, an inflow channel or pump well is equivalent to the storage section 13, but as long as it has the above-mentioned functions, the storage section 13 is not limited to an inflow channel or pump well.

[0121] Pump 14 is used to draw water from the storage section 13 and pump it into the bioreactor 1. The water in the storage section 13 flows into the bioreactor 1 through the pipe 14a.

[0122] Sensor 3 is a sensor used to measure the state of water treatment plant 100B, and is installed in multiple locations in water treatment plant 100B, including piping that flows into storage section 13 and piping 14a that is a piping that flows from storage section 13 into bioreactor 1. As sensor 3, there are various types of sensors used to measure the state of a water treatment plant, such as flow meters, air volume meters, thermometers, DO (Dissolved Oxygen) meters, pH meters, ORP (Oxidation Reduction Potential) meters, MLSS (Mixed Liquor Suspended Solid) meters, BOD (Biochemical Oxygen Demand) meters, COD (Chemical Oxygen Demand) meters, NADH (Nicotinamide-Adenine Dinucleotide) meters, ammonia nitrogen meters, total nitrogen meters, total phosphorus meters, polyphosphate phosphorus meters, and chlorine meters.

[0123] The water treatment plant operation support system 110B of Embodiment 3 is similar to that of Embodiment 1, and 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 an analog unit 10. The input / output unit 6 includes an operation condition selection unit 7 and an output unit 11.

[0124] The simulation unit 10 in embodiment 3 is pre-built with a water quality prediction simulator and a water level prediction simulator for the storage unit 13. Furthermore, the simulation unit 10 performs water quality prediction simulations for water in or out of the bioreactor 1 and the water level of the storage unit 13 based on parameters sent from the parameter adjustment unit 5 via signal line 5a, state data for the period desired by the user sent from the data extraction unit 8 via signal line 8a, and control target values ​​sent from the control target value setting unit 9 via signal line 9a.

[0125] The water level in the storage section 13 refers to the distance from the bottom of the storage section 13 to the surface of the water stored in the storage section 13, and it varies depending on 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 inflow and outflow of water in the storage section 13, AI (Artificial Intelligence) such as machine learning, formulas based on empirical rules, etc., as long as it can simulate the water level in the storage section 13, it can be any method.

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

[0127] The other components and operating procedures are the same as in Implementation Method 1.

[0128] In Embodiment 3, in addition to the water quality simulated in the bioreactor 1 by the simulation unit 10 in Embodiment 1, a water level simulation by the storage unit 13 is also added. By temporarily storing water in the storage unit 13, the amount of water flowing into the bioreactor 1 can be adjusted. Therefore, the storage unit 13 has the effect of stabilizing the treatment in the bioreactor 1.

[0129] However, on the other hand, when a large amount of water, unlike usual, flows into the water treatment plant 100B during rainfall, the amount of water flowing into the storage section 13 increases significantly, causing the water level in the storage section 13 to rise. When the water level in the storage section 13 exceeds the height of the storage section 13, water overflows from the storage section 13, and the water treatment plant 100B is flooded with sewage. Therefore, it is necessary to operate the water treatment plant 100B in a manner that ensures the water level in the storage section 13 does not exceed the height of the storage section 13.

[0130] In addition, in order to lower the water level in the storage section 13, the pump 14 can be operated to increase the amount of water drawn into the biological reaction tank 1. However, when the amount of water flowing into the biological reaction tank 1 increases, the load of pollutants in the biological reaction tank 1 increases, which may cause the quality of the discharged water to deteriorate.

[0131] Therefore, the water level in the storage section 13 and the water quality of the water discharged from the biological reactor 1 are in a compromise relationship, and it is necessary to carry out overall operation monitoring of the water treatment plant 100B while taking both into account.

[0132] For users with limited experience, it can be difficult to monitor the operation of the water treatment plant 100B while considering such complex factors. However, in Embodiment 3, through the structure and operation flow described above, even users with limited experience in monitoring the operation of the water treatment plant 100B can simply select the desired conditions from the preset operating conditions using the operating condition selection unit 7, and the control target value setting unit 9 will automatically set the simulated control target value. Therefore, it is possible to simplify the simulation of water quality and water level in the storage unit 13 for multiple operating conditions. Furthermore, the user can confirm the results of changing the water quality and water level in the storage unit 13 when the operating conditions are changed. Thus, the user can search for and determine the optimal operating conditions for the water quality of the water discharged from the bioreactor 1 and the water level in the storage unit 13 to implement the actual operation of the water treatment plant.

[0133] As described above, according to Embodiment 3, the same effect as that of Embodiments 1 and 2 is achieved. Furthermore, the water treatment plant has a bioreactor containing activated sludge and a storage tank for temporarily storing water flowing into the bioreactor. The simulation unit at least simulates the water level of the storage tank, so even users with little experience in operating water treatment plants can simulate the water level of the storage tank as experienced by skilled operators.

[0134] Implementation method 4.

[0135] Figure 8 This is a structural diagram showing the water treatment plant and the water treatment plant operation support system involved in Embodiment 4.

[0136] The water treatment plant 100C according to Embodiment 4 includes a bioreactor 1, a blower 2, and a sensor 3. Furthermore, 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 includes a control target value input unit 20, an operating condition display unit 30, and an output unit 11.

[0137] The following describes the details of the water treatment plant and its operation support system according to Embodiment 4. Furthermore, the following description focuses on the differences from Embodiments 1 to 3.

[0138] In embodiment 4, the control target value input unit 20 is provided in the input / output unit 6, allowing the user to directly input the 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 sent to the analog unit 10 via signal line 9a and to the operating condition display unit 30 via signal line 9b.

[0139] When a control target value is sent to the operation condition display unit 30 via signal line 9b, the operation condition display unit 30 displays the operation conditions corresponding to the control target value input by the control target value input unit 20.

[0140] In the operation condition display unit 30, multiple operation conditions are set for each of the multiple items that become operation indicators, and each operation condition for each of the items is displayed corresponding to the control target value input by the control target value input unit 20.

[0141] In Figure 2 as well as Figure 3For example, when explaining the operation, several parameters are considered as operational indicators, including pumping volume, aeration volume, and return sludge volume. For each parameter, multiple operational conditions are set for pumping volume ("1 unit operating", "2 units operating", "3 units operating"), for aeration volume ("low", "medium", "high"), and for return sludge volume ("low", "medium", "high"). Furthermore, for example, if a DO target value of 1 mg / L is input into the control target value input unit 20, the aeration volume operation condition is not "low" but corresponds to "medium". The operation condition display unit 30 of the input / output unit 6 displays the control target value corresponding to the "medium" aeration volume operation condition.

[0142] In the simulation unit 10, the operation of the water treatment plant is simulated according to the control target value input by the control target value input unit 20. The simulation unit 10 has one or more simulators built in, including a water quality prediction simulator, a sludge interface height prediction simulator, and a water level prediction simulator.

[0143] The other components and operational procedures are the same as those in Embodiments 1 to 3.

[0144] With the structure described above, skilled users with extensive knowledge of water treatment plant operation monitoring do not need to select preset operating conditions using the operating condition selection unit 7 in Embodiments 1 to 3. Instead, users can directly input the control target value to be set using the control target value input unit 20, thus enabling more accurate simulation of the operating conditions desired by the user. Furthermore, by displaying the operating conditions corresponding to the control target value input using the control target value input unit 20 on the operating condition display unit 30, even inexperienced users can easily understand what kind of operating conditions to simulate.

[0145] In embodiment 4, the configuration is designed so that, in the case of use by a skilled user with extensive knowledge of water treatment plant operation monitoring, the user does not select preset operating conditions using the operating condition selection unit 7, but can directly input the control target value to be set using the control target value input unit 20. In this case, by configuring the operating condition display unit 30 to display the operating conditions corresponding to the control target value input using the control target value input unit 20, less experienced users can learn which operating conditions the simulation was performed under.

[0146] As described above, according to Embodiment 4, there is a water treatment plant operation support system that supports the operation of a water treatment plant, comprising:

[0147] The data storage unit stores state quantities representing the state of the water treatment plant, sent from the water treatment plant.

[0148] The control target value input unit allows input of control target values ​​related to the operation of the water treatment plant.

[0149] The operation condition display unit displays at least one of a plurality of operation conditions corresponding to the control target value input by the control target value input unit;

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

[0151] The output section outputs the simulation results from the simulation section.

[0152] Therefore, even users with little experience in operating water treatment plants can learn the optimal operating conditions.

[0153] Furthermore, the operating condition display unit sets multiple operating conditions for each of the multiple items that become 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 users with little experience in operating water treatment plants can learn the optimal operating conditions.

[0154] Additionally, there is a water treatment plant operation support method, which provides support for the operation of a water treatment plant and includes:

[0155] The data storage process stores state quantities representing the state of the water treatment plant, sent from the water treatment plant.

[0156] The control target value input process involves inputting control target values ​​related to the operation of the water treatment plant.

[0157] The operation condition display process displays at least one of a plurality of operation conditions corresponding to the control target value input in the control target value input process;

[0158] The simulation process involves performing a simulation related to the operation of the water treatment plant based on the state quantities stored in the data storage process and the control target values ​​input in the control target value input process; and

[0159] Output the simulation process and its simulation results.

[0160] Therefore, even users with little experience in operating water treatment plants 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.

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

[0163] The data storage unit stores state quantities representing the state of the water treatment plant, sent from the water treatment plant.

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

[0165] The control target value setting unit calculates a control target value corresponding to the operating condition selected by the operating condition selection unit;

[0166] The simulation unit performs a simulation to predict at least one of the multiple state quantities of the water treatment plant, based on the state quantities stored in the data storage unit and the control target value calculated by the control target value setting unit; and

[0167] The output unit outputs the simulation results from the simulation unit, and...

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

[0169] The control target value input unit accepts control target values ​​related to the operation of the water treatment plant; and

[0170] The operating condition display unit displays at least one of a plurality of operating conditions corresponding to the control target value input by the control target value input unit.

[0171] The simulation unit may also 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 This is a diagram showing an example of the hardware structure of the water treatment plant operation support system 110, 110A, 110B, and 110C according to Embodiments 1 to 4.

[0173] like Figure 9 As shown, the water treatment plant operation support systems 110, 110A, 110B, and 110C include a processing unit 1000 and an input / output unit 6. The processing unit 1000 consists of a processor 1010 and a storage device 1020. The storage device 1020 includes volatile storage devices such as random access memory (not shown) and non-volatile auxiliary storage devices such as flash memory. Alternatively, a hard disk may be used instead of 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. Furthermore, the processor 1010 can output data such as calculation results to the volatile storage device of the storage device 1020, or it can save data to the auxiliary storage device via the volatile storage device.

[0175] The processor 1010 performs 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] Furthermore, in the above embodiments, a wastewater treatment plant was used as an example of a water treatment plant, but the technology disclosed in this application can be applied to all water treatment plants, including water purification plants and wastewater treatment plants.

[0177] For example, when used as a water treatment plant in a water purification plant, the water treatment plant includes collection wells, coagulation tanks, sedimentation tanks, filtration tanks, etc. The operating indicators of the operating condition selection and operating condition display units of the water treatment plant operation support system include sodium hypochlorite injection volume, ozone diffusion volume, coagulant injection volume, 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 to the embodiment alone or in various combinations.

[0179] Therefore, numerous variations not illustrated are conceivable within the scope of the technology disclosed in this application. For example, these variations may include cases where at least one constituent element is modified, at least one constituent element is added, at least one constituent element is omitted, or at least one constituent element is extracted and combined with constituent elements of other embodiments.

[0180] Explanation of symbols

[0181] 1: Bioreactor; 2: Blower; 3: Sensor; 4: Data storage unit; 5: Parameter adjustment unit; 6: Input / output unit; 7: Operating condition selection unit; 8: Data extraction unit; 9: Control target value setting unit; 10: Simulation unit; 11: Output unit; 12: Sedimentation tank; 13: Storage unit; 20: Control target value input unit; 30: Operating 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, supporting the operation of a water treatment plant, wherein, The water treatment plant operation support system includes: The data storage unit stores state quantities representing the state of the water treatment plant, sent from the water treatment plant. The operation condition selection unit allows the user to input the period of simulation and select at least one operation condition from multiple operation conditions related to the operation of the water treatment plant. The control target value setting unit calculates a control target value corresponding to the operating conditions selected by the user using the operating condition selection unit; The simulation unit performs a simulation to predict at least one of the multiple 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. as well as The output unit outputs data of the state quantities under the operating conditions selected by the user using the operating condition selection unit during the period input by the user to the operating condition selection unit, as 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 multiple operation conditions for multiple items that become operation indicators, and to select at least one operation condition from the multiple operation conditions for each item.

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

4. A water treatment plant operation support system, supporting the operation of a water treatment plant, wherein, The water treatment plant operation support system includes: The data storage unit stores state quantities representing the state of the water treatment plant, sent from the water treatment plant. The operation condition selection section allows the user to input the simulation period; The control target value input unit allows the user to input control target values ​​related to the operation of the water treatment plant. The operation condition display unit displays at least one of a plurality of operation conditions corresponding to the control target value input by the user using the control target value input unit; The simulation unit performs simulations related to the operation of the water treatment plant based on the state quantities stored in the data storage unit and the control target values ​​input using the control target value input unit. as well as The output unit outputs data of the state quantity under the operating conditions corresponding to the control target value input by the user using the control target value input unit during the period input by the user to the operating condition selection unit as 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 multiple operation conditions for each of the multiple items that become operation indicators, and displays each operation condition for each of the items 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, 2, 4 or 5, wherein, The water treatment plant is equipped with a biological reactor that stores activated sludge. The simulation unit simulates at least one of the water quality inside the bioreactor and the water quality of the water discharged from the bioreactor.

7. The water treatment plant operation support system according to any one of claims 1, 2, 4 or 5, wherein, The water treatment plant is equipped with at least a sedimentation tank, which allows the solids of the activated sludge to settle and produce a supernatant. 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, 2, 4 or 5, wherein, The water treatment plant includes a bioreactor for storing activated sludge and a storage tank for temporarily accumulating water flowing into the bioreactor. The simulation unit at least simulates the water level in the storage tank.

9. A method for supporting the operation of a water treatment plant, wherein, The water treatment plant operation support method includes: The data storage process stores state quantities representing the state of the water treatment plant, sent from the water treatment plant. The operation condition selection process involves the user inputting the duration of the simulation and selecting at least one operation condition from a plurality of operation conditions related to the operation of the water treatment plant. The control target value setting process calculates the control target value corresponding to the operating condition selected by the user in the operating condition selection process. The simulation process involves predicting at least one of the multiple 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. as well as The output process outputs the data of the state quantities during the period input by the user in the operation condition selection process, under the operation conditions selected by the user in the operation condition selection process, as the simulation result of the simulation process.

10. A method for supporting the operation of a water treatment plant, wherein, The water treatment plant operation support method includes: The data storage process stores state quantities representing the state of the water treatment plant, sent from the water treatment plant. The operating conditions are selected by the user, and the simulation period is input by the user. The control target value input process involves the user inputting control target values ​​related to the operation of the water treatment plant. The operation condition display process displays at least one of a plurality of operation conditions corresponding to the control target value input by the user in the control target value input process; The simulation process involves performing a simulation related to the operation of the water treatment plant based on the state quantities stored in the data storage process and the control target values ​​input in the control target value input process. as well as The output process outputs the data of the state quantity under the operating conditions corresponding to the control target value input by the user in the operating condition selection process during the specified period, as the simulation result of the simulation process.

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