JP7321215B2 - Sewage treatment plant operation management system, sewage treatment plant operation management method, and sewage treatment plant operation management program - Google Patents

Description

The present disclosure relates to an operation management system for a sewage treatment plant, an operation management method for a sewage treatment plant, and a sewage treatment plant for treating sewage pumped up by a pump from an underground facility including an inflow culvert into which sewage flows. Regarding the operation management program.

A sewage treatment plant treats inflowing sewage and discharges the treated water into rivers or the sea. In order to discharge the treated water, it is necessary to remove inorganic or organic suspended matter and soluble organic matter contained in the sewage to a standard level. Therefore, in sewage treatment plants, suspended matter is removed by filtration and sedimentation, and organic matter is decomposed and removed by biological treatment.

In sewage treatment plants, the inflow of sewage can change rapidly. For example, rainfall on an area where sewage is collected at the sewage treatment plant may cause a sharp change in the sewage inflow to the sewage treatment plant. Therefore, in Patent Document 1, a water treatment system that controls a movable weir that adjusts the amount of inflow to the reaction tank based on the predicted amount of sewage that flows into the sewage treatment plant and the upper limit of the amount of water that flows into the reaction tank is provided. Proposed.

JP-A-2020-6296

In the technique described in Patent Document 1, an upper limit value is set for the amount of inflow water into the reaction tank, and when the amount of sewage inflow exceeds the treatment capacity of the sewage treatment plant, sewage exceeding the treatment capacity of the sewage treatment plant is discharged. there is

However, in a sewage treatment plant that treats sewage pumped up by a pump from an underground facility including an inflow culvert into which sewage flows, the inflow sewage is cannot be discharged, and the technology disclosed in Patent Document 1 cannot be applied.

The present disclosure has been made in view of the above, and appropriately performs operation management of a sewage treatment plant according to a predicted inflow of sewage into a sewage treatment plant having an underground facility including an inflow culvert into which sewage flows. An object of the present invention is to obtain an operation management system for a sewage treatment plant.

In order to solve the above-described problems and achieve the object, the operation management system for a sewage treatment plant according to the present disclosure provides sewage pumped up by a pump from an underground facility including an inflow culvert into which sewage flows into a water treatment facility. An operation management system for a sewage treatment plant, comprising a state information acquisition unit, a prediction information acquisition unit, an index information acquisition unit, and an operation pattern selection unit. The state information acquisition unit acquires state information indicating the state of the sewage treatment plant. The prediction information acquisition unit acquires prediction information indicating a predicted inflow amount of sewage into the inflow culvert. Based on the state information and the prediction information, the index information acquisition unit determines the water quality of the treated water of the sewage treatment plant, the water level of the inflow culvert, and the operation cost of the sewage treatment plant when the pump is operated in each of a plurality of types of operation patterns. Acquire index information including information indicating . The operation pattern selection unit selects operation pattern candidates, which are operation pattern candidates, from a plurality of types of operation patterns based on the index information.

Advantageous Effects of Invention According to the present disclosure, it is possible to appropriately perform operation management of a sewage treatment plant according to the predicted inflow amount of sewage into a sewage treatment plant having an underground facility including an inflow culvert into which sewage flows.

1 is a diagram showing an example of a configuration of a sewage treatment plant according to a first embodiment; FIG. A diagram for explaining the functions of the operation management system according to the first embodiment. FIG. 2 is a diagram showing an example of the relationship between the pumping amount, the basic sewage amount, the rainfall sewage amount, the storage amount, and the reaction tank load when the set pumping amount in the sewage treatment plant according to Embodiment 1 is doubled. FIG. 2 is a diagram showing an example of the relationship between the pumping amount, basic sewage amount, rainfall sewage amount, storage amount, and reaction tank load when the set pumping amount in the sewage treatment plant according to Embodiment 1 is increased to 2.5 times the normal amount. FIG. 2 is a diagram showing an example of the relationship among the pumping amount, basic sewage amount, rainfall sewage amount, storage amount, and reaction tank load when the set pumping amount in the sewage treatment plant according to Embodiment 1 is three times the normal amount. FIG. 4 is a diagram for explaining the difference in water quality of treated water due to the difference in how to change the amount of water pumped by the pump in the sewage treatment plant according to the first embodiment; FIG. 4 is a diagram showing the relationship between the amount of power consumption and the amount of pumped water in one or more pumps used among a plurality of pumps that constitute the pumps of the sewage treatment plant according to the first embodiment; A diagram showing an example of the configuration of the operation management system according to the first embodiment FIG. 4 is a diagram showing an example of a recommended operation pattern displayed on the display unit by the processing unit of the operation management system according to the first embodiment; FIG. A diagram showing another example of recommended operation patterns displayed on the display unit by the processing unit of the operation management system. 3 is a flowchart showing an example of operation pattern information generation processing by the processing unit of the operation management system according to the first embodiment; 3 is a flowchart showing an example of operation pattern presentation processing by the processing unit of the operation management system according to the first embodiment; FIG. 2 is a diagram showing an example of a hardware configuration of a processing unit according to the first embodiment; FIG. A diagram showing an example of a configuration of a sewage treatment plant according to a second embodiment A diagram showing an example of a configuration of an operation management system according to a second embodiment Flowchart showing an example of index information generation processing by the processing unit of the operation management system according to the second embodiment Flowchart showing an example of operation pattern presentation processing by the processing unit of the operation management system according to the second embodiment

An operation management system for a sewage treatment plant, an operation management method for a sewage treatment plant, and an operation management program for a sewage treatment plant according to an embodiment will be described below in detail with reference to the drawings.

Embodiment 1.
FIG. 1 is a diagram showing an example of a configuration of a sewage treatment plant according to Embodiment 1. FIG. As shown in FIG. 1 , a sewage treatment plant 1 according to Embodiment 1 includes an underground facility 10 , a water treatment facility 20 and an operation management system 30 . Such a sewage treatment plant 1 treats sewage entering from a separate sewer system.

The underground facility 10 includes an inflow culvert 11 , an inflow gate 12 , a settling basin 13 , a pump well 14 and a water pump 15 . The inflow culvert 11 stores sewage that flows in from the sewage pipe 2 . The sewage pipe 2 is also called a main line. The inflow gate 12 is provided between the inflow culvert 11 and the settling basin 13 to control the inflow of sewage from the inflow ditch 11 to the settling basin 13 . Such inflow gate 12 is controlled by an operation management system 30 .

The sedimentation basin 13 settles and removes sediments and the like in the sewage. Sewage from which earth and sand have been removed from the settling basin 13 flows into the pump well 14 . The pump 15 pumps up sewage from the pump well 14 that has flowed in from the settling basin 13 and supplies it to the water treatment facility 20 . Such a water pump 15 is controlled by an operation management system 30 . In the example shown in FIG. 1, the water pump 15 is composed of four pumps, but the number of pumps constituting the water pump 15 is not limited to four, and may be three or less or five or more. good.

The water treatment facility 20 includes a distribution tank 21 , treatment facilities 22 ₁ , 22 ₂ and 22 ₃ and a disinfection facility 23 . The distribution tank 21 is supplied with sewage pumped up from the pump well 14 by the water pump 15 . The water treatment facility 20 performs water treatment with three systems of treatment facilities 22 ₁ , 22 ₂ , and 22 ₃ . The treatment facilities 22 ₁ , 22 ₂ , 22 ₃ treat water by, for example, the standard activated sludge method, the anaerobic-anoxic-aerobic method, or the three-step inflow nitrification-denitrification method.

The water treatment facility 20 may have a configuration in which _a plurality of treatment facilities _{22 1} , 22 ₂ , _{22 3} perform water treatment by different water treatment methods. The configuration may be such that a part or all of them perform water treatment by a common water treatment method. Hereinafter, when each of the treatment facilities 22 ₁ , 22 ₂ , and 22 ₃ is shown without distinction, it may be described as the treatment facility 22 . The number of systems of the treatment equipment 22 in the water treatment equipment 20 is not limited to three, and may be two or less or four or more.

The treatment facility 22 comprises a primary sedimentation tank 24 , a reaction tank 25 and a final sedimentation tank 26 . The primary sedimentation tank 24 is supplied with sewage from the distribution tank 21 and sediments relatively sinkable solids in the sewage. The reaction tank 25 performs water treatment by a standard activated sludge process, an anaerobic-anoxic-aerobic process, or a three-step inflow nitrification-denitrification process. The reaction tank 25 is provided with a blower for blowing air into the reaction tank 25 and dissolving the air in the activated sludge mixture. Such blowers are controlled by an operation management system 30 .

The final sedimentation tank 26 separates the activated sludge mixture flowing from the reaction tank 25 into supernatant water and activated sludge. The disinfection equipment 23 disinfects the supernatant water of the final sedimentation tank 26 supplied from the final sedimentation tank 26 and discharges it as treated water to a river or the sea. Moreover, the sludge separated and settled in the final sedimentation tank 26 is returned to the reaction tank 25 in an appropriate amount after excess sludge is drawn out and mixed with the inflow sewage.

Next, the operation management system 30 will be explained. The operation management system 30 performs operation management of the sewage treatment plant 1 based on the water level of the inflow culvert 11, the water quality of the treated water discharged from the water treatment facility 20, the operation cost of the sewage treatment plant 1, and the like.

In addition, the operation management system 30 selects an operation pattern candidate for the water pump 15 based on the predicted inflow amount of sewage flowing into the inflow culvert 11, presents the selected operation pattern candidate, or uses the selected operation pattern candidate. The water pump 15 can be controlled. Hereinafter, the water level of the inflow culvert 11 is referred to as the inflow culvert water level, the water quality of the treated water discharged from the water treatment facility 20 is referred to as the treated water quality, and the power consumption of the sewage treatment plant 1 is simply referred to as the plant power consumption. It may be described.

FIG. 2 is a diagram for explaining functions of the operation management system according to the first embodiment. As shown in FIG. 2, the operation management system 30 acquires rainfall information indicating the amount of rainfall in the target area, which is the area where sewage is collected to the sewage treatment plant 1, from the rain gauge 3. Predict the amount of infiltration during rainfall. The infiltration water amount during rainfall is the amount of rainwater that infiltrates into the sewage pipe 2, and is sometimes called the infiltration water amount during rainy weather. The infiltration of rainwater into the sewage pipe 2 is, for example, rainwater that has penetrated into the ground and flows into the sewage pipe 2 from a pond, a joint, or a damaged part, or flows into the sewage pipe 2 due to an incorrect connection of the sewage pipe 2. caused by

The operation management system 30 receives information indicating the sewage inflow amount, which is the amount of sewage flowing through the sewage pipe 2, and the sewage water quality, which is the quality of the sewage flowing through the sewage pipe 2, from measuring instruments installed in the sewage treatment plant or on the main sewage line. Acquire, manage and store the acquired information. Then, the operation management system 30 changes the amount of sewage inflow to the sewage treatment plant 1 and the water quality based on the information indicating the amount of sewage inflow and the quality of the sewage that is managed and stored, and the predicted amount of infiltration during rainfall. predict the transition of In the following, the inflow of sewage into the sewage treatment plant 1 predicted by the operation management system 30 is referred to as a predicted inflow, and the water quality of sewage flowing into the sewage treatment plant 1 predicted by the operation management system 30 is predicted water quality. may be described as Moreover, when managing the sewage water quality, it is possible to use not only the water quality measured by the measuring instrument, but also the water quality manually analyzed by the staff of the sewage treatment plant 1 in combination or as a substitute.

Then, the operation management system 30 calculates an index for evaluating each of the plurality of types of operation patterns based on the predicted inflow amount, predicted water quality, current state of the sewage treatment plant 1, and the like. The indicators are, for example, changes in inflow culvert water level, changes in treated water quality, changes in the position of the sludge interface, and operating costs when the pump 15 is operated in each of a plurality of types of operation patterns for the pump 15. The sludge interface is the interface of activated sludge. Hereinafter, the operation pattern for the water pump 15 may be simply referred to as the operation pattern, and the operating cost of the sewage treatment plant 1 may be simply referred to as the operating cost.

The operation pattern is, for example, the operation pattern of the water pump 15 per unit time. Such an operation pattern represents the transition of the operation amount of the water pump 15 and includes, for example, change timing and change amount of the operation amount of the water pump 15 . For example, the operation pattern can be a rapid increase in pumping rate, a rapid decrease in pumping rate, a gradual increase in pumping rate, a gradual decrease in pumping rate, or a rapid increase in pumping rate followed by a gradual decrease in pumping rate and a gradual decrease in pumping rate. and then sharply lower, and so on. Note that the operation pattern is not limited to the operation pattern of the water pump 15 per unit time, and may be an operation pattern of the water pump 15 during a period of time that is partially or wholly different among a plurality of types of operation patterns. .

Further, the water pump 15 has four pumps as described above, and the operation pattern may include information indicating when and how much to operate which pump among the four pumps.

The operation management system 30 predicts the transition of the inflow water level for each operation pattern based on the transition of the predicted inflow amount and the transition of the pumping amount when the pump 15 is operated in each of a plurality of types of operation patterns. . In addition, the operation management system 30 can monitor the current state of the sewage treatment plant 1, the predicted transition of the amount of pumped water when the pump 15 is operated in each of a plurality of types of operation patterns, and the transition of the water quality of the pumped sewage. Based on this, transitions in the quality of treated water, transitions in the position of the sludge interface, operating costs, and the like are predicted for each operation pattern.

For example, it has an ASM (Activated Sludge Model) simulator, and the quality of treated water is predicted by simulation using the ASM simulator. An ASM simulator is, for example, a simulator that performs calculations using an activated sludge model to simulate physical, biological, and chemical behavior in water treatment. Such an activated sludge model is a model that mathematically describes biological reaction processes, water quality changes in mass balance, and the like.

In addition, the operation management system 30 determines the amount of dissolved oxygen (DO: Dissolved Oxygen) is predicted as the transition of the power consumption required to control the aeration air volume so that it is within the preset range. Aeration is performed by a blower 27 that blows air into the reaction tank 25 , and the operation management system 30 controls the amount of aeration air by controlling the blower 27 . In the following, controlling the aeration air volume may be referred to as DO control.

In addition, the operation management system 30 predicts, for each operation pattern, transitions in power consumption required when the water pump 15 is operated in each of a plurality of types of operation patterns, as transitions in the power consumption of the pump. Then, the operation management system 30 predicts the transition of the plant power consumption by integrating the predicted transition of the predicted aeration power consumption and the predicted transition of the pump power consumption. Then, the operation management system 30 calculates the operation cost from the transition of the predicted plant power consumption.

Further, the operation management system 30 predicts the transition of the position of the sludge interface of the final sedimentation tank 26 when the water pump 15 is operated in each of a plurality of types of operation patterns. The operation management system 30 has, for example, a simulator that reproduces changes in the position of the sludge interface of the final sedimentation tank 26, and a simulation using such a simulator predicts the transition of the position of the sludge interface of the final sedimentation tank 26. do. Such a simulator is, for example, a simulator that reproduces variations in the position of the sludge interface in the final sedimentation tank 26 using a gravity sedimentation model. The operation management system 30 inputs the state of the sewage treatment plant 1 and the transition of the pumping amount according to the operation pattern to a simulator that reproduces the positional fluctuation of the sludge interface of the final sedimentation tank 26, thereby controlling the final sedimentation tank 26. Predict the transition of the position of the sludge interface.

In this way, the operation management system 30 predicts changes in the inflow culvert water level, changes in treated water quality, changes in the position of the sludge interface, and operating costs when the pump 15 is operated in each of a plurality of operation patterns. Then, the operation management system 30 selects an operation pattern from among a plurality of operation patterns based on the predicted transition of the inflow culvert water level, the predicted transition of the treated water quality, the predicted transition of the position of the sludge interface, and the predicted operation cost. Decide on a candidate. An operation pattern candidate is an operation pattern presented to the operator of the sewage treatment plant 1 or an operation pattern automatically executed in the sewage treatment plant 1 as a recommended operation pattern.

The operation management system 30, for example, the predicted inflow water level transition, the predicted treated water quality transition, the predicted sludge interface position transition, and the predicted operation cost Based on this, operation pattern candidates are selected. The operation management system 30 may also select, as operation pattern candidates, an operation pattern that prioritizes reduction of the inflow culvert water level, an operation pattern that prioritizes prevention of treated water quality deterioration, an operation pattern that prioritizes reduction of operating costs, and the like. can.

Then, the operation management system 30 presents an operation pattern for performing the determined operation pattern as an operation pattern candidate to the operator of the sewage treatment plant 1, or automatically operates the water pump 15 according to the determined operation pattern candidate. can be controlled. Thereby, the operation management system 30 can appropriately perform operation management of the sewage treatment plant 1 according to the inflow of sewage into the sewage treatment plant 1 having the underground facility 10 including the inflow culvert 11 into which the sewage flows.

Hereinafter, the transition of the inflow culvert water level predicted by the operation management system 30 may be referred to as the predicted transition of the inflow culvert water level, and the transition of the treated water quality predicted by the operation management system 30 may be referred to as the predicted transition of the treated water quality. be. Also, the transition of the position of the sludge interface predicted by the operation management system 30 may be described as the predicted transition of the position of the sludge interface, and the operating cost predicted by the operation management system 30 may be referred to as the predicted operating cost.

Here, the amount of sewage that does not contain rainwater is defined as the basic sewage amount, the amount of sewage containing rainwater is set as the amount of sewage during rainfall, the set amount of sewage pumped up by the pump 15 is set as the pumping amount, and the inflow culvert 11 The amount of stored sewage is defined as a storage amount, and the processing load of the reaction tank 25 is defined as a reaction tank load.

FIG. 3 shows an example of the relationship between the pumping amount, basic sewage amount, rainfall sewage amount, storage amount, and reaction tank load when the pumping set amount in the sewage treatment plant according to Embodiment 1 is doubled. FIG. 4 is a diagram showing; FIG. 4 shows the relationship between the pumping amount, basic sewage amount, rainfall sewage amount, storage amount, and reaction tank load when the pumping set amount in the sewage treatment plant according to Embodiment 1 is increased to 2.5 times the normal amount. It is a figure which shows an example. FIG. 5 shows an example of the relationship between the pumping amount, basic sewage amount, rainfall sewage amount, storage amount, and reaction tank load when the pumping set amount in the sewage treatment plant according to Embodiment 1 is tripled. FIG. 4 is a diagram showing; 3 to 5, the horizontal axis represents time, and the vertical axis represents pumping volume, basic sewage volume, rainfall sewage volume, storage volume, and reaction tank load.

As shown in FIGS. 3 to 5, in the sewage treatment plant 1, a time delay occurs in the peak of the storage amount due to a time delay in the pumping of the pump 15 with respect to the set pumping amount. Therefore, in the sewage treatment plant 1, if the amount of water pumped by the pump 15 is set based on the amount of inflow of sewage, there is a possibility that the time delay in pumping the water by the pump 15 will delay the pumping of sewage from the inflow culvert 11.

The reaction tank load shown in FIGS. 3 to 5 is obtained by multiplying the degree of dilution of sewage by rainwater by the amount of pumping, and the fluctuation of the reaction tank load varies according to the set amount of pumping. This is because sewage containing a large amount of rainwater flows into the inflow culvert 11 while sewage is accumulated in the inflow culvert 11, and the reaction tank load fluctuates depending on the amount of water pumped by the pump 15 and the pumping timing. . In the examples shown in FIGS. 3 to 5, the change in the reactor load is the smallest when the pumping set amount is three times the normal amount.

In addition, since it may take several hours for the amount of sewage during rainfall to reach the sewage treatment plant 1 by flooding the sewage pipe 2 from the surface of the ground via the ground after it rains, In addition to the time delay in pumping water by the pump 15, the time delay in the inflow of sewage during rain also affects fluctuations in the inflow culvert water level. In addition, the quality of the treated water is influenced several hours after the fluctuation of the pumped water by the pump 15 . For example, the retention time of sewage flowing into the reaction tank 25 is a value obtained by dividing the capacity of the reaction tank 25 by the pump 15, and the treated water quality changes according to the retention time of sewage.

Thus, the pumping of the water pump 15 affects multiple factors. Moreover, in the sewage treatment plant 1, the inflow culvert 11 is located underground, and in many cases, sewage exceeding the treatment capacity cannot be discharged. Therefore, the operation management system 30 uses the predicted transition of the inflow culvert water level, the predicted transition of the treated water quality, the predicted transition of the position of the sludge interface, the predicted operation cost, etc. as the operation pattern selection index, and predicts the inflow of sewage Water is pumped up by the water pump 15 according to the amount.

Thereby, the operation management system 30 can appropriately perform operation management of the sewage treatment plant 1 according to the predicted inflow amount of sewage into the sewage treatment plant 1 . For example, if the total amount of rainwater flowing into the inflow culvert 11 due to rainfall is excessively large, the treatment capacity of the sewage treatment plant 1 may be exceeded during normal operation. Even in such a case, the operation management system 30 uses, for example, the predicted transition of the inflow culvert water level as a selection index for the operation pattern, so that the pump 15 can be can be operated, and the amount of pumped water can be increased before the inflow to the inflow culvert 11 increases.

Also, the quality of the treated water may change depending on how the amount of pumped water is changed. FIG. 6 is a diagram for explaining a difference in water quality of treated water due to a difference in how to change the amount of water pumped by the pump in the sewage treatment plant according to the first embodiment. In FIG. 6, the horizontal axis represents time, and the vertical axis represents the concentration of ammonia in the treated water or the amount of pumped water.

As shown in FIG. 6, when the amount of water pumped by the pump 15 is rapidly increased, the ammonia concentration peak in the treated water becomes larger than when the amount of water pumped by the pump 15 is gradually increased. Water quality deteriorates. This is because the DO control cannot keep up with a sudden increase in load in the water treatment facility 20 .

In addition, when the water pump 15 rapidly increases the amount of water pumped, the quality of the treated water may be better overall than when the water pump 15 gradually increases the amount of water pumped. For example, when relatively heavy rain falls for a long period of time, it is better to increase the amount of water pumped by the pump 15 abruptly. value may be lower.

In this way, the water quality of the treated water changes depending on how the amount of water pumped by the pump 15 is changed. Water is pumped up by the pump 15 according to the amount of inflow. Thereby, the operation management system 30 can suppress deterioration of the water quality of the treated water.

In addition, if the reaction tank load fluctuates significantly, the peak time of the aeration power consumption may become longer, which may increase the operating cost of the sewage treatment plant 1 . Even in such a case, the operation management system 30 can reduce the operation cost by using the predicted operation cost as a selection index for the operation pattern.

Further, depending on which pump among the plurality of pumps constituting the water pump 15 pumps water for how long and how much water is pumped, the power consumption of the pump may differ even if the amount of water pumped is the same. For example, when pumping 10000 m ³ , 5000 m ³ /hour over 2 hours will result in 800 kW, and 2000 m ³ /hour over 5 hours will result in 1050 kW.

In addition, each pump that constitutes the water pump 15 often has a higher pumping efficiency as the water volume is closer to the design water volume. can be reduced. FIG. 7 is a diagram showing the relationship between the amount of power consumption and the amount of pumped water in one or more pumps used among a plurality of pumps that constitute the pumps of the sewage treatment plant according to the first embodiment. In FIG. 7 , the horizontal axis represents the amount of water pumped by the water pump 15 and the vertical axis represents the power consumption of the water pump 15 . In FIG. 7, the names of the four pumps that make up the water pump 15 are No. 1, No. 2, No. 3, and No. 4.

As shown in FIG. 7, even with the same amount of pumping water, the power consumption differs depending on the pump or the combination of pumps, and the pumping efficiency of the pump or combination of pumps increases as the pumping amount approaches the design water amount. Therefore, by preparing an operation pattern for each different pump or for each combination of different pumps, the power consumption for aeration can be suppressed. The operation management system 30 can also create an operation pattern for each different pump or for each combination of different pumps.

In addition, since the sludge interface of the final sedimentation tank 26 is affected several tens of minutes later due to fluctuations in the water pumped by the pump 15, it is desirable to suppress the outflow of activated sludge as much as possible. Therefore, the operation management system 30 can use the predicted transition of the position of the sludge interface as a selection index of the operation pattern, and can pump water by the pump 15 according to the predicted inflow amount of sewage. Thereby, in the operation management system 30, operation management of the sewage treatment plant 1 can be performed more appropriately according to the predicted inflow amount of sewage into the sewage treatment plant 1. FIG.

In addition, since the operation management system 30 controls the water pump 15 so that the underground facility 10 is not submerged, for example, it is possible to prevent flooding of external facilities and submersion of the settling basin 13 by keeping the inflow gate 12 closed. can do. Note that the fact that the underground facility 10 is not submerged includes, for example, submersion of part of the underground facility 10 , for example, submersion of the settling basin 13 .

The configuration of the operation management system 30 will be specifically described below. 8 is a diagram illustrating an example of a configuration of an operation management system according to Embodiment 1. FIG. As shown in FIG. 8, the operation management system 30 includes a first communication section 31, a second communication section 32, a display section 33, an operation section 34, a storage section 35, and a processing section .

The first communication unit 31, for example, is connected to a communication network such as the Internet, a dedicated line, or other networks, and through such a communication network, trunk information transmitted from the trunk measuring instrument 4 and the rainfall observation system 5 Receive rainfall information sent from

As means for grasping the state of inflow, for example, a main line measuring instrument 4 including a flow meter for detecting the flow rate of sewage flowing through the sewage pipe 2 and a water quality sensor for detecting the water quality of sewage flowing through the sewage pipe 2 may be used. . The trunk information includes information indicating the amount and quality of sewage flowing through the sewage pipe 2 . The rainfall observation system 5 is, for example, a rainfall observation system called XRAIN (eXtended RAdar Information Network). The rainfall observation system 5 includes the rain gauge 3 described above. The rain gauge 3 is, for example, a laser rain gauge or a ground rain gauge. The rainfall information includes rainfall information in the area where sewage is collected by the sewage treatment plant 1 .

The second communication unit 32 is connected via a network to the sensor group 7 including a plurality of sensors provided in the sewage treatment plant 1, and is detected by the sensor group 7 via the network and transmitted from the sensor group 7. Receive status information. The state information is information indicating the state of the sewage treatment plant 1 , and the sensors included in the sensor group 7 detect the state of the sewage treatment plant 1 .

The state of the sewage treatment plant 1 detected by the sensors included in the sensor group 7 includes, for example, the inflow amount of sewage into the inflow culvert 11, the state of the sewage flowing into the inflow culvert 11, the water level of the inflow culvert 11, etc., and the initial sedimentation. These include the state of the pond 24, the state of the reaction tank 25, the state of the treated water discharged from the final sedimentation tank 26, and the like. The condition of the sewage flowing into the inflow culvert 11 is, for example, the water quality of the sewage or the temperature of the sewage.

The state of the primary sedimentation tank 24 is, for example, the inflow amount of sewage into the primary sedimentation tank 24, the water quality or temperature of the sewage in the primary sedimentation tank 24, and the like. The water quality of the sewage in the primary sedimentation tank 24 is, for example, BOD (Biochemical Oxygen Demand), NH3 concentration, or NH4+ concentration. BOD is observed, for example, by manual analysis or by sensors using reagents in wastewater collected robotically from the primary sedimentation basin 24, but is not limited to such examples.

The state of the reaction tank 25 is the water quality or temperature of the water to be treated in the reaction tank 25 . The water quality of the water to be treated is, for example, dissolved oxygen content, mixed liquor suspended solids (MLSS), BOD, ammonia nitrogen concentration, nitrate nitrogen concentration, total nitrogen concentration, total phosphorus concentration, phosphoric acid phosphorus concentration , and total phosphorus concentration. The water to be treated in the reaction tank 25 is sewage flowing in from the primary sedimentation tank 24 .

The status of the treated water includes, for example, the amount of treated water discharged, the BOD of the treated water, the total nitrogen concentration of the treated water, and the total phosphorus concentration of the treated water. The state of the sewage treatment plant 1 detected by the sensor is not limited to the example described above, and can be changed as appropriate. Also, part of the state of the sewage treatment plant 1 may be estimated by past results, observation using a reagent for sewage collected by a robot, ASM simulation, or the like, instead of the sensor. In this case, the state information acquired by the processing unit 36 includes information that is observed in real time and information that is not observed in real time.

The display unit 33 is, for example, a display such as an LCD (Liquid Crystal Display) or an organic EL (Electro Luminescence). The operation unit 34 is an operation device for operating the sewage treatment plant 1, and includes buttons, levers, and the like for controlling the water pump 15, the blower 27, the return pump 28, and the like.

The storage unit 35 stores history information, operation pattern information, and the like. The history information includes operation history information indicating the history of past operations on the operation unit 34 by the operator of the sewage treatment plant 1, state history information indicating the past state of the sewage treatment plant 1, and rainfall indicating past rainfall. Includes historical information, etc. The past operation history includes the past operation history of the water pump 15 and the past operation history of the blower 27 .

The operation pattern information includes information on a plurality of types of operation patterns set in advance or information on a plurality of types of operation patterns generated by the processing unit 36 . A plurality of types of operation patterns are operation patterns for the water pump 15 .

The processing unit 36 includes an operation pattern extraction unit 40, an operation pattern information generation unit 41, a prediction information generation unit 42, a prediction information acquisition unit 43, a state information acquisition unit 44, an index information acquisition unit 45, an operation pattern A selection unit 46 , an operation pattern presentation unit 47 , and a water pump control unit 48 are provided.

The operation pattern extraction unit 40 extracts a plurality of types of operation patterns for the water pump 15 by the operator of the sewage treatment plant 1 based on the operation history information stored in the storage unit 35 . The operation pattern extraction unit 40 can extract a plurality of types of operation patterns by, for example, clustering by unsupervised learning in machine learning. Unsupervised learning in machine learning is, for example, non-hierarchical clustering such as the k-means method, but is not limited to such examples.

Note that the operation pattern extraction unit 40 divides each of the plurality of types of operation patterns extracted based on the operation history information into operation patterns for each different pump or for each combination of different pumps, and divides the plurality of types of operation patterns obtained by dividing. The operation pattern can also be an extraction result from the operation history information.

The operation pattern information generation unit 41 generates operation pattern information including information on the plurality of types of operation patterns extracted by the operation pattern extraction unit 40 and causes the storage unit 35 to store the generated operation pattern information.

The prediction information generation unit 42 acquires the rainfall information and trunk line information received by the first communication unit 31 from the first communication unit 31, and based on the acquired rainfall amount information and trunk line information, predicts the amount of rainfall to the inflow culvert 11. Prediction information is generated that indicates transitions in the predicted inflow of wastewater and transitions in the predicted water quality. Note that the prediction information generation unit 42 can also generate prediction information indicating transitions in the predicted inflow amount of sewage into the inflow culvert 11 and transitions in the predicted water quality without using one of the rainfall information and the trunk line information.

The rainfall information acquired by the prediction information generation unit 42 is the rainfall in the target area, which is the area where sewage is collected by the sewage treatment plant 1, among the rainfall in each area observed by the rainfall observation system 5. . The prediction information generation unit 42 adds the acquired rainfall amount information to the history information of the storage unit 35 .

Based on the rainfall amount information, for example, the prediction information generation unit 42 uses a known modified RRL method (Road Research Laboratory Method) to calculate the amount of infiltration water, which is the amount of rainwater infiltration into the sewage pipe 2, for each point in the target area. predict to Then, the prediction information generation unit 42 predicts that sewage containing rainwater will arrive with a delay of the delay time from rainwater falling on the ground surface to entering the sewage pipe 2 and reaching the inflow culvert 11, for example. By adding the amount of infiltration water at each point in the target area to the amount of sewage that does not include rainwater with a time delay, transition of the predicted inflow of sewage into the inflow ditch 11 per unit time and transition of predicted water quality. Calculate

Note that the prediction information generation unit 42 does not include rainwater during rainfall, for example, based on the transition of the amount of sewage inflow into the inflow culvert 11 and the transition of water quality in the past when it is not raining in the target area. Transition of sewage inflow and transition of water quality can be estimated. For example, the prediction information generation unit 42 determines the past transition pattern of the inflow amount of sewage into the inflow culvert 11 and the transition pattern of the water quality in a state where it is not raining in the target area for each of weekdays and holidays. The determination result can be estimated as the transition of the inflow amount of wastewater not containing rainwater and the transition of water quality during rainfall. In this case, the prediction information generation unit 42 determines the amount of sewage that flows into the inflow culvert 11 per unit time based on the estimated inflow of sewage and the transition pattern of water quality, and the infiltration of rainwater predicted from the rainfall information. A predicted inflow transition and a predicted water quality transition can be calculated. The determination of the transition pattern of the inflow amount of sewage in the past and the transition pattern of the water quality may be performed by a staff such as an operator of the sewage treatment plant 1 . In addition, the prediction information generation unit 42 compares the transition of the predicted inflow amount of sewage into the inflow culvert 11 with the transition of the actual inflow amount based on the trunk line information, thereby determining the predicted inflow of sewage into the inflow culvert 11. It is also possible to adjust the parameters of the formula used to calculate the quantity.

In addition, the prediction information generation unit 42 predicts the transition of the water quality of the sewage flowing into the inflow culvert 11 based on the water quality of the sewage contained in the main line information, the predicted amount of infiltrating water, the predicted amount of sewage not including rainwater, and the like. do. In addition, when the water quality of past sewage with respect to rainfall can be obtained from the history information, the prediction information generation unit 42 does not use the trunk information, but based on the predicted amount of infiltration water and the predicted amount of sewage that does not contain rainwater. , the transition of the water quality of the sewage flowing into the inflow culvert 11 can also be predicted. In this case, the prediction information generator 42 can use the past water quality of sewage that does not contain rainwater for prediction.

The prediction information acquisition unit 43 acquires the prediction information generated by the prediction information generation unit 42 from the prediction information generation unit 42 . Note that when the prediction information is generated in an information processing system different from the operation management system 30 , the prediction information acquisition unit 43 can also acquire the prediction information from the information processing system via the first communication unit 31 .

In addition, the forecast information acquisition unit 43 acquires weather forecast information from a weather forecast server that distributes weather forecast information including information indicating the forecasted rainfall amount for the target area via a network (not shown) and the first communication unit 31, for example. You can also

The state information acquisition unit 44 acquires state information transmitted from the sensor group 7 via the second communication unit 32 . The state information is information indicating the state of the sewage treatment plant 1 as described above, and is sometimes called observation data, which is information obtained by observing the state of the sewage treatment plant 1 . The state information acquisition unit 44 notifies the index information acquisition unit 45 of the acquired state information, and adds the acquired state information to the state history information in the storage unit 35 .

The index information acquisition unit 45 acquires index information based on the operation pattern information stored in the storage unit 35, the prediction information acquired by the prediction information acquisition unit 43, and the state information acquired by the state information acquisition unit 44. do. The index information indicates the predicted transition of the treated water quality, the predicted transition of the inflow culvert water level, the predicted transition of the position of the sludge interface, and the predicted operating cost when the pump 15 is operated in each of the plurality of types of operation patterns described above. Contains information.

The index information acquisition unit 45, for example, based on the state information and the prediction information, the predicted transition of the treated water quality when the pump 15 is operated in each of a plurality of types of operation patterns, the predicted transition of the inflow culvert water level, the sludge interface The index information is acquired by calculating predicted transition of positions, predicted operating costs, etc. by simulation. The index information includes information such as predicted transition of treated water quality, predicted transition of inflow water level, predicted transition of position of sludge interface, and predicted operating cost.

The index information acquisition unit 45 has a simulator such as an ASM simulator, for example. The index information acquisition unit 45 acquires the current state of the sewage treatment plant 1 indicated by the state information, the transition of the predicted inflow amount of sewage into the inflow culvert 11 indicated by the prediction information, the transition of the predicted water quality, and the pumping amount according to the operation pattern. By inputting the transition of , etc. into the ASM simulator, the transition of the water quality of the treated water is predicted for each operation pattern.

In addition, the index information acquisition unit 45 operates the predicted transition of the inflow culvert water level based on, for example, the transition of the predicted inflow amount of sewage into the inflow culvert 11 indicated by the prediction information and the transition of the pumping amount according to the operation pattern. Predict for each pattern. For example, the index information acquisition unit 45 uses an arithmetic expression or a simulator for calculating the predicted transition of the inflow culvert water level from the transition of the inflow amount of sewage into the inflow culvert 11 and the transition of the pumping amount, and calculates the predicted transition of the inflow culvert water level. can be predicted for each operation pattern.

In addition, the index information acquisition unit 45 determines the dissolved oxygen The amount of power consumption for aeration is predicted for each operation pattern so that the amount falls within a preset range. The index information acquisition unit 45 predicts the plant power consumption for each operation pattern by adding the aeration power consumption to the power consumption required for the amount of water pumped according to the operation pattern. Then, the index information acquiring unit 45 calculates a predicted operating cost for each operation pattern based on the predicted plant power consumption for each operation pattern.

In addition, the index information acquisition unit 45 determines the final sedimentation based on the current state of the sewage treatment plant 1, the transition of the amount of pumped water due to the operation pattern, the transition of the water quality of the sewage flowing into the inflow culvert 11 indicated by the prediction information, and the like. Transitions in the position of the sludge interface in pond 26 can also be predicted. Hereinafter, the predicted transition of the position of the sludge interface may be referred to as predicted transition of the position of the sludge interface.

The index information acquisition unit 45 has a simulator that reproduces changes in the position of the sludge interface of the final sedimentation tank 26, and predicts the transition of the position of the sludge interface of the final sedimentation tank 26 through a simulation using such a simulator. . Such a simulator is, for example, a simulator that reproduces changes in the position of the sludge interface of the final sedimentation tank 26 using a gravitational settling model. By inputting, the transition of the position of the sludge interface of the final sedimentation tank 26 is predicted.

Note that the method of obtaining index information by the index information obtaining unit 45 is not limited to the example described above, and any method other than the method described above may be used as long as the index information can be obtained based on the state information and the prediction information.

In addition, the index information acquisition unit 45 predicts the transition of the power consumption required for controlling the return pump 28 that returns the activated sludge from the final sedimentation tank 26 to the reaction tank 25 as the transition of the return power consumption. can also In this case, the index information acquisition unit 45 can also predict the transition of the plant power consumption by integrating the transition of the aeration power consumption, the transition of the pump power consumption, and the transition of the return power consumption.

Based on the index information acquired by the index information acquisition unit 45, the operation pattern selection unit 46 selects operation pattern candidates, which are operation pattern candidates, from a plurality of types of operation patterns. For example, the operation pattern selection unit 46 determines that the underground facility 10 will not be submerged and that the activated sludge will not flow out based on the predicted transition of the inflow water level, the predicted transition of the treated water quality, the predicted transition of the position of the sludge interface, and the predicted operating cost. Operation pattern candidates are determined from a plurality of types of operation patterns under the constraint condition that the maximum value is equal to or less than a preset upper limit.

The operation pattern selection unit 46, for example, based on the total value obtained by weighting each of the predicted transition of the inflow water level, the predicted transition of the treated water quality, the predicted transition of the position of the sludge interface, and the predicted operating cost, Select an operation pattern candidate. The predicted transition of the inflow culvert water level, the predicted transition of the treated water quality, the predicted transition of the position of the sludge interface, and the predicted operating cost may each have a preset value, and the prediction of the sewage to the inflow culvert 11 It may be a value corresponding to the amount of inflow, or may be a different value depending on the operation pattern candidate.

For example, when the predicted inflow amount per unit time is large but the period during which sewage mixed with rainwater flows is short and within the processing capacity of the sewage treatment plant 1, the water treatment facility 20 is prevented from operating under a high load. is weighted, the operation pattern selection unit 46 can determine an operation pattern candidate that can reduce the operating cost.

In addition, when the period of inflow of sewage mixed with rainwater is long although the predicted inflow amount per unit time is not large, the treatment capacity of the sewage treatment plant 1 may be exceeded if normal operation is continued. In such a case, the operation pattern selector 46 selects an operation pattern candidate that can suppress the inflow culvert water level and treated water quality by weighting the water treatment facility 20 so that the high load operation is performed earlier than usual. can decide.

For example, the operation pattern selection unit 46 can select an operation pattern with priority given to the water level as an operation pattern candidate by increasing the weighting of the predicted transition of the inflow culvert water level, and by increasing the weighting of the treated water quality, the process A water quality operation pattern can be selected as an operation pattern candidate. Further, the operation pattern selection unit 46 can select a cost-prioritized operation pattern as an operation pattern candidate, for example, by increasing the weighting of the predicted operating cost.

Further, the operation pattern selection unit 46 selects an operation pattern candidate from among a plurality of types of operation patterns based on the predicted transition of the inflow culvert water level, the predicted transition of the treated water quality, the predicted transition of the position of the sludge interface, and the predicted operating cost. It is also possible to select a combination of series. In this case, the operation pattern selection unit 46 predicts the inflow culvert water level when the lifting pump 15 is operated by each operation pattern group including a plurality of operation patterns combined in time series and having different combinations. Based on the transition, the predicted transition of treated water quality, and the predicted operating cost, a plurality of operational pattern candidates combined in time series are selected.

Also in this case, the operation pattern selection unit 46 determines the total value of the values obtained by weighting each of the predicted transition level of the inflow water, the predicted transition of the treated water quality, the predicted transition of the position of the sludge interface, and the predicted operating cost. Based on this, it is possible to select a plurality of operation pattern candidates combined in chronological order. Hereinafter, a plurality of operation pattern candidates combined in time series may be referred to as an operation pattern candidate group.

Further, the operation pattern selection unit 46 selects operation pattern candidates or operation patterns based on the predicted transition of the inflow water level, the predicted transition of the treated water quality, the predicted transition of the position of the sludge interface, and the predicted operating cost under the above constraint conditions. A group of candidates can be selected. For example, the operation pattern selection unit 46, based on the sum of the values obtained by weighting each of the predicted transition of the inflow water level, the predicted transition of the treated water quality, the predicted transition of the sludge interface position, and the predicted operating cost, An operation pattern candidate or a plurality of operation pattern candidates combined in time series are selected.

The operation pattern selection unit 46 selects an operation pattern candidate or an operation pattern candidate group capable of suppressing outflow of activated sludge by using the predicted transition of the position of the sludge interface as a selection index for the operation pattern candidate or the operation pattern candidate group. can be selected. If the flow velocity in the treatment facility 22 increases, there is a possibility that the activated sludge will flow out without lowering the position of the sludge interface. An operation pattern candidate or an operation pattern candidate group can be selected such that the flow velocity in the facility 22 does not become too fast.

Note that the operation pattern selection unit 46 operates a preset number of times in descending order of the score obtained from, for example, the predicted transition of the inflow water level, the predicted transition of the treated water quality, the predicted transition of the position of the sludge interface, and the operating cost. It can also be extracted as a pattern candidate. The score is, for example, the total value described above.

The operation pattern presentation unit 47 presents the operation pattern candidates or the operation pattern candidate group selected by the operation pattern selection unit 46 as recommended operation patterns. For example, the operation pattern presentation unit 47 presents the recommended operation pattern by causing the display unit 33 to display the operation pattern candidate or the operation pattern candidate group selected by the operation pattern selection unit 46 as the recommended operation pattern.

9 is a diagram illustrating an example of recommended operation patterns displayed on the display unit by the processing unit of the operation management system according to the first embodiment; FIG. The recommended operation pattern shown in FIG. 9 is an operation pattern in which the pumping amount is rapidly increased at time t1 and then gradually decreased at time t2 and time t3.

As a result, the operator of the sewage treatment plant 1 operates the water pump 15 via the operation unit 34 according to the recommended operation pattern, thereby controlling the sewage treatment plant 1 according to the predicted inflow amount of sewage into the sewage treatment plant 1. Able to manage operations appropriately.

The pump control unit 48 controls the pump 15 based on the operation of the operation unit 34 by the operator of the sewage treatment plant 1 . In addition, the pump control unit 48 can control the pump 15 according to the recommended operation pattern selected by the operation pattern selection unit 46 when the operation mode of the sewage treatment plant 1 is the automatic operation mode.

In addition to the recommended operation pattern, the operation pattern presentation unit 47 causes the display unit 33 to display at least one of information on the pattern of the predicted inflow amount of sewage into the inflow culvert 11 and information on the pattern of predicted rainfall in the target area. can be done. Information on the pattern of the predicted inflow amount of sewage into the inflow culvert 11 is included in the prediction information generated by the prediction information generation unit 42, and the operation pattern presentation unit 47 receives the prediction obtained by the prediction information acquisition unit 43. Based on the information, the display unit 33 is caused to display information on the pattern of the estimated amount of inflow of sewage into the inflow culvert 11 .

In addition, the predicted rainfall pattern of the target area is included in the weather forecast information acquired by the forecast information acquisition unit 43, and the operation pattern presentation unit 47 operates based on the weather forecast information acquired by the forecast information acquisition unit 43. to cause the display unit 33 to display the information of the predicted rainfall pattern of the target area.

FIG. 10 is a diagram showing another example of recommended operation patterns displayed on the display unit by the processing unit of the operation management system. As shown in FIG. 10, the operation pattern presentation unit 47 can cause the display unit 33 to display the information on the recommended operation pattern and the information on the predicted rainfall amount pattern on the same time axis.

Further, when a plurality of operation pattern candidates are selected by the operation pattern selection unit 46, the operation pattern presentation unit 47 causes the display unit 33 to simultaneously display information on the plurality of operation pattern candidates selected by the operation pattern selection unit 46. be able to.

For example, the operation pattern presentation unit 47 simultaneously displays information on an operation pattern candidate that prioritizes the inflow culvert water level, information on an operation pattern candidate that prioritizes treated water quality, and information on an operation pattern candidate that prioritizes reduction in operating costs on the display unit 33. can be displayed. For example, the operation pattern presentation unit 47 can cause the display unit 33 to display information such as the predicted transition of the inflow culvert water level, the predicted transition of the quality of treated water, and the power rate for each operation pattern candidate.

As a result, the operator of the sewage treatment plant 1 can select an operation pattern to be executed from a plurality of operation pattern candidates, using the predicted transition of the inflow culvert water level, the predicted transition of the treated water quality, the operating cost, etc. as criteria for judgment. .

Next, processing by the processing unit 36 of the operation management system 30 will be described using a flowchart. 11 is a flowchart illustrating an example of operation pattern information generation processing by a processing unit of the operation management system according to the first embodiment; FIG.

As shown in FIG. 11, the processing unit 36 of the operation management system 30 acquires history information from the storage unit 35 (step S10), and clusters operation patterns based on the acquired history information (step S11).

Next, the processing unit 36 generates operation pattern information including information on a plurality of types of clustered operation patterns (step S12). Then, the processing unit 36 causes the storage unit 35 to store the generated operation pattern information (step S13), and ends the processing shown in FIG.

12 is a flowchart illustrating an example of operation pattern presentation processing by a processing unit of the operation management system according to the first embodiment; FIG. As shown in FIG. 12, the processing unit 36 acquires rainfall information including information on the amount of rainfall in the target area from the rainfall observation system 5 (step S20). Prediction information including predicted inflow amount of sewage and predicted water quality is generated (step S21).

Next, the processing unit 36 acquires state information including information indicating the state of the sewage treatment plant 1 from the sensor group 7 (step S22). Then, the processing unit 36 acquires index information based on the prediction information generated in step S21 and the state information acquired in step S22 (step S23). The index information includes information indicating predicted transitions of the index. The predicted transition of the index is, for example, the predicted transition of the inflow water level, the predicted transition of the treated water quality, the predicted transition of the position of the sludge interface, and the predicted operating cost.

Next, the processing unit 36 selects operation pattern candidates from among a plurality of types of operation patterns based on the index information acquired in step S23 (step S24). The processing unit 36 displays the operation pattern candidates selected in step S24 on the display unit 33 (step S25), and ends the processing shown in FIG.

13 is a diagram illustrating an example of a hardware configuration of a processing unit according to the first embodiment; FIG. As shown in FIG. 13, processing unit 36 includes a computer having processor 101 , memory 102 and bus 103 . Processor 101 and memory 102 can transmit and receive information to and from each other via bus 103 .

Storage unit 35 is implemented by memory 102 . The processor 101 executes the functions of the processing unit 36 by reading and executing programs stored in the memory 102 . The processor 101 is an example of a processing circuit, for example, and includes one or more of a CPU (Central Processing Unit), a DSP (Digital Signal Processor), and a system LSI (Large Scale Integration).

The memory 102 includes one or more of RAM (Random Access Memory), ROM (Read Only Memory), flash memory, EPROM (Erasable Programmable Read Only Memory), and EEPROM (Registered Trademark) (Electrically Erasable Programmable Read Only Memory). include. The memory 102 also includes a recording medium in which a computer-readable program is recorded. Such recording media include one or more of nonvolatile or volatile semiconductor memories, magnetic disks, flexible memories, optical disks, compact disks, and DVDs (Digital Versatile Disks). The processing unit 36 may include integrated circuits such as ASIC (Application Specific Integrated Circuit) and FPGA (Field Programmable Gate Array).

Note that the operation management system 30 may be composed of, for example, two or more devices located at different positions. For example, the operation management system 30 may be composed of a processing server and a data server.

As described above, the operation management system 30 of the sewage treatment plant 1 according to the first embodiment includes the state information acquisition unit 44, the prediction information acquisition unit 43, the index information acquisition unit 45, and the operation pattern selection unit 46. Prepare. The state information acquisition unit 44 acquires state information indicating the state of the sewage treatment plant 1 . The prediction information acquisition unit 43 acquires prediction information indicating the predicted inflow amount of sewage into the inflow culvert 11 . Based on the state information and the prediction information, the index information acquisition unit 45 determines the water quality of the treated water of the sewage treatment plant 1, the water level of the inflow culvert 11, and the sewage treatment when the pump 15 is operated in each of a plurality of types of operation patterns. Index information including information indicating the operating cost of the plant 1 is acquired. The operation pattern selection unit 46 selects operation pattern candidates, which are operation pattern candidates, from a plurality of types of operation patterns based on the index information. As a result, the operation management system 30 can appropriately perform operation management of the sewage treatment plant 1 according to the predicted inflow amount of sewage into the sewage treatment plant 1 having the underground facility 10 including the inflow culvert 11 into which the sewage flows. can.

In addition, based on the state information and the prediction information, the index information acquisition unit 45 calculates the water quality, the water level, and the operation cost when the water pump 15 is operated in each of the plurality of types of operation patterns by simulation, thereby obtaining the index Get information. As a result, the operation management system 30 can acquire index information without generating a large amount of index information in advance.

In addition, based on the state information and the prediction information, the index information acquisition unit 45 determines the water quality, water level, operation cost, and sludge interface in the water treatment facility 20 when the water pump 15 is operated in each of a plurality of types of operation patterns. Information including information indicating a position is acquired as index information. Thereby, the operation management system 30 can perform operation management of the sewage treatment plant 1 more appropriately according to the predicted inflow amount of sewage into the sewage treatment plant 1 .

The operation management system 30 also includes an operation pattern extraction unit 40 that extracts a plurality of types of operation patterns from the operation history of the water pump 15 . Thereby, the operation management system 30 can extract an appropriate operation pattern according to the sewage treatment plant 1 .

Further, the operation pattern selection unit 46 selects operation pattern candidates by combining them in chronological order from among a plurality of types of operation patterns. Thereby, the operation management system 30 can perform operation management of the sewage treatment plant 1 more appropriately according to the predicted inflow amount of sewage into the sewage treatment plant 1 .

The operation management system 30 also includes an operation pattern presentation unit 47 that presents information on the operation pattern candidates selected by the operation pattern selection unit 46 as information on recommended operation patterns. Thereby, the operator of the sewage treatment plant 1 can appropriately operate the water pump 15 according to the recommended operation pattern.

In addition to information on the recommended operation pattern, the operation pattern presentation unit 47 presents at least one of information on the pattern of predicted inflow of sewage into the inflow culvert 11 and information on the predicted rainfall pattern of the target area. As a result, the operator of the sewage treatment plant 1 can appropriately operate the pump 15 according to the recommended operation pattern while looking at the predicted inflow amount pattern or the predicted rainfall pattern, and can select the operation pattern according to the situation. can grasp.

Further, the operation pattern presentation unit 47 selects at least one of the operation pattern prioritizing the water level, the operation pattern prioritizing the water quality, and the operation pattern prioritizing the operating cost as an operation pattern candidate. Thereby, the operation management system 30 can perform operation management of the sewage treatment plant 1 more appropriately according to the predicted inflow amount of sewage into the sewage treatment plant 1 .

Embodiment 2.
The operation management system according to the second embodiment prepares in advance the predicted transition of each index for each of a plurality of types of operation patterns for a plurality of combinations of the transition of the inflow amount to the inflow culvert and the state of the sewage treatment plant. It differs from the operation management system 30 according to the first embodiment in that the In the following, constituent elements having functions similar to those of the first embodiment are denoted by the same reference numerals, and descriptions thereof are omitted, and differences from the operation management system 30 of the first embodiment are mainly described.

14 is a diagram illustrating an example of a configuration of a sewage treatment plant according to a second embodiment; FIG. As shown in FIG. 14, the sewage treatment plant 1A according to the second embodiment differs from the sewage treatment plant 1 according to the first embodiment in that an operation management system 30A is provided instead of the operation management system 30. FIG.

15 is a diagram illustrating an example of a configuration of an operation management system according to a second embodiment; FIG. As shown in FIG. 15, the operation management system 30A according to the second embodiment includes a storage unit 35A and a processing unit 36A instead of the storage unit 35 and the processing unit 36. Differs from system 30 .

The storage unit 35A differs from the storage unit 35 in that it stores index information generated by the processing unit 36A. The processing unit 36A differs from the processing unit 36 in that it further includes an index information generation unit 49 and in that it includes an index information acquisition unit 45A instead of the index information acquisition unit 45 .

The index information generation unit 49 performs off-line simulations for predicting the state of the index assuming various situations regarding the transition of the state of the sewage treatment plant 1A and the amount of inflow of sewage into the inflow culvert 11 .

Specifically, the index information generator 49 determines a plurality of different combinations of the assumed state of the sewage treatment plant 1</b>A and the assumed transition of the inflow amount of sewage into the inflow culvert 11 . Then, the index information generation unit 49 simulates the predicted transition of the treated water quality, the predicted transition of the inflow culvert water level, the predicted transition of the plant power consumption, etc. when the pump 15 is operated in each of the plurality of types of operation patterns. Calculate and generate index information for each combination.

The index information generation unit 49 stores the generated index information for each combination in the storage unit 35A. Hereinafter, the index information for each combination is described as index information for each assumed combination, the information on the assumed state of the sewage treatment plant 1A is described as assumed state information, and the information on the assumed transition of the inflow amount of sewage into the inflow culvert 11. may be described as assumed forecast information.

The index information generation unit 49 has various simulators like the index information acquisition unit 45, and generates index information for each of the above-described combinations through simulation using various simulators. For example, by inputting the assumed state of the sewage treatment plant 1A, the assumed transition of the predicted inflow amount of sewage into the inflow culvert 11, the predicted transition of the water quality, and the transition of the pumping amount due to the operation pattern into the ASM simulator, the treated water water quality for each operation pattern.

In addition, the index information generation unit 49, for example, uses an arithmetic expression or a simulator for calculating transitions in the water level of the inflow culvert from assumed transitions in the amount of inflow of sewage into the inflow culvert 11 and transitions in the amount of pumped water due to operation patterns. The transition of the culvert water level can be predicted for each operation pattern.

In addition, the index information generation unit 49 can generate index information for each assumed combination including the predicted transition of the position of the sludge interface. In this case, the index information generation unit 49 inputs the state of the sewage treatment plant 1A and the transition of the pumping amount due to the operation pattern to the simulator that reproduces the positional fluctuation of the sludge interface of the final sedimentation tank 26, thereby obtaining the final The transition of the position of the sludge interface of the sedimentation tank 26 is predicted.

The index information acquisition unit 45A acquires the state information acquired by the state information acquisition unit 44 and the prediction information acquisition unit 43 from among the index information for each assumed combination generated by the index information generation unit 49 and stored in the storage unit 35A. Acquire the index information corresponding to the received forecast information.

The index information acquisition unit 45A, for example, among the assumed state information and assumed prediction information for each assumed combination, the state information acquired by the state information acquisition unit 44 and the prediction information acquired by the prediction information acquisition unit 43 are the most similar. Acquire index information for an assumed combination of assumed state information and assumed prediction information.

As described above, in the operation management system 30A according to the second embodiment, since the index information for each assumed combination is prepared in advance, it is possible to quickly present operation pattern candidates to the operator of the operation management system 30A.

Next, processing by the processing unit 36A of the operation management system 30A will be described using a flowchart. 16 is a flowchart illustrating an example of index information generation processing by a processing unit of the operation management system according to the second embodiment; FIG.

As shown in FIG. 16, the processing unit 36A of the operation management system 30A acquires operation pattern information from the storage unit 35A (step S30). Then, the processing unit 36A selects an unselected assumed combination of the assumed state of the sewage treatment plant 1A and the assumed transition of the inflow amount of sewage into the inflow culvert 11 (step S31).

Next, the processing unit 36A calculates the predicted transition of the index for each operation pattern for each assumed combination selected (step S32). The processing unit 36A determines whether or not all assumed combinations have been selected (step S33).

When the processing unit 36A determines that all the assumed combinations have not been selected (step S33: No), the process proceeds to step S31. When determining that all assumed combinations have been selected (step S33: Yes), the processing unit 36A causes the storage unit 35A to store index information for each assumed combination (step S34), and ends the processing shown in FIG. .

17 is a flowchart illustrating an example of operation pattern presentation processing by a processing unit of the operation management system according to the second embodiment; FIG. The processing of steps S40 to S42, S45 and S46 shown in FIG. 17 is the same as the processing of steps S20 to S22, S24 and S25 shown in FIG.

As shown in FIG. 17, the processing unit 36A acquires index information for each assumed combination from the storage unit 35A (step S43). Next, the processing unit 36A acquires the index information of the assumed combination corresponding to the combination of the prediction information generated in step S41 and the state information acquired in step S42 among the index information for each assumed combination (step S44).

A hardware configuration example of the processing unit 36A of the operation management system 30A according to the second embodiment is the same as the hardware configuration of the processing unit 36 of the operation management system 30 shown in FIG. The processor 101 can execute the functions of the processing unit 36A by reading out and executing programs stored in the memory 102 .

Note that the processing units 36 and 36A extract past combinations of the state of the sewage treatment plant 1 and 1A, the transition of the inflow amount of sewage, and the operation pattern from the history information stored in the storage units 35 and 35A. can be done. Then, the processing units 36 and 36A extract transitions in treated water quality, transitions in the inflow culvert water level, transitions in the position of the sludge interface, operating costs, and the like when the pump 15 is operated according to the extracted operation pattern. In this case, the processing units 36 and 36A predict by simulation the combination of the state of the sewage treatment plant 1 and 1A, the transition of the sewage inflow amount, and the operation pattern that are not included in the history information.

Furthermore, the processing units 36 and 36A can extract rainfall patterns corresponding to changes in treated water quality, changes in inflow culvert water level, changes in sludge interface position, and operating costs extracted based on history information. The processing units 36 and 36A can cause the display unit 33 to display the rainfall amount pattern together with the recommended operation pattern instead of the predicted rainfall amount pattern in FIG.

In addition, the processing units 36 and 36A used the predicted transition of the inflow culvert water level, the predicted transition of the treated water quality, the predicted transition of the position of the sludge interface, and the predicted transition of the plant as the predicted transition of the index, but the predicted transition of the position of the sludge interface The predicted transition may not be used as the predicted transition of the indicator. In this case, the processing units 36 and 36A use the position of the sludge interface as a constraint.

In addition, the processing units 36 and 36A obtain transitions for selecting the operation pattern for the inflow culvert water level, the treated water quality, and the position of the sludge interface. Alternatively, an integrated value or the like can be used as an index for selecting an operation pattern. For example, the processing units 36 and 36A can use information including the predicted peak value of the inflow culvert water level, the predicted peak value of the treated water quality, and the predicted peak value of the position of the sludge interface as the index information. In addition, the processing units 36 and 36A may selectively use any of the transition, average value, bottom value, peak value, and integrated value for each of the inflow culvert water level, treated water quality, sludge interface, and operating cost. can.

Further, when the indicator information acquisition unit 45 acquires the index information or the indicator information generation unit 49 generates the index information, when using a simulator capable of predicting the water quality of sewage from the estimated inflow amount of sewage, the prediction information generation unit The predictive information generated by 42 may not include expected wastewater quality transitions. The prediction information generation unit 42 can also generate prediction information including a peak value, an average value, or an integrated value of the predicted inflow amount instead of the transition of the predicted inflow amount of sewage. In this case, the index information acquisition units 45 and 45A select operation pattern candidates based on the peak value, average value, or integrated value of the predicted inflow amount and the state information of the sewage treatment plants 1 and 1A.

In addition to the power consumption, the index information acquisition unit 45 and the index information generation unit 49 temporarily store sewage that has not entered the reaction tank 25, and then return it to the pump well 14 to pump it up again as an operating cost. The index information can also include the cost required for pumping with the pump 15 .

The operation pattern extraction unit 40 can also generate a plurality of types of operation patterns for each rainfall amount pattern based on the operation history information and state history information stored in the storage units 35 and 35A. In this case, the index information acquiring units 45 and 45A select a rainfall pattern corresponding to the predicted rainfall pattern, and select operation pattern candidates based on the index information of a plurality of types of operation patterns corresponding to the selected rainfall pattern. You can also choose

As described above, the operation management system 30A of the sewage treatment plant 1A according to the second embodiment includes the index information generating section 49. FIG. The index information generation unit 49 calculates the water quality, water level, and the operating cost is calculated by simulation to generate index information for each assumed combination. The index information acquisition unit 45A acquires, as index information, information corresponding to the state information and the prediction information among the index information for each assumed combination generated by the index information generation unit 49 . Thereby, the operation management system 30A can generate the index information for each assumed combination in advance, and can quickly select the operation pattern candidate.

The configurations shown in the above embodiments are only examples, and can be combined with other known techniques, or can be combined with other embodiments, without departing from the scope of the invention. It is also possible to omit or change part of the configuration.

1, 1A sewage treatment plant, 2 sewage pipe, 3 rain gauge, 4 main line measuring instrument, 5 rainfall observation system, 7 sensor group, 10 underground facility, 11 inflow culvert, 12 inflow gate, 13 settling basin, 14 pump well, 15 Lifting pump, 20 water treatment equipment, 21 distribution tank, 22, 22 ₁ , 22 ₂ , 22 ₃ treatment equipment, 23 disinfection equipment, 24 primary sedimentation tank, 25 reaction tank, 26 final sedimentation tank, 27 blower, 28 return pump, 30, 30A operation management system, 31 first communication unit, 32 second communication unit, 33 display unit, 34 operation unit, 35, 35A storage unit, 36, 36A processing unit, 40 operation pattern extraction unit, 41 operation pattern information generation Unit 42 Prediction information generation unit 43 Prediction information acquisition unit 44 State information acquisition unit 45, 45A Index information acquisition unit 46 Operation pattern selection unit 47 Operation pattern presentation unit 48 Water pump control unit 49 Index information generation Section, 101 Processor, 102 Memory, 103 Bus.

Claims (8)

An operation management system for a sewage treatment plant that treats sewage pumped up by a pump from an underground facility including an inflow culvert into which sewage flows, with a water treatment facility,
a state information acquisition unit that acquires state information indicating the state of the sewage treatment plant;
a prediction information acquisition unit that acquires prediction information indicating a predicted inflow amount of the sewage into the inflow culvert;
Based on the state information and the prediction information, the water quality of the treated water of the sewage treatment plant, the water level of the inflow culvert, and the operating cost of the sewage treatment plant when the pump is operated in each of a plurality of types of operation patterns. an index information acquisition unit that acquires index information including information indicating
an operation pattern selection unit that selects an operation pattern candidate, which is an operation pattern candidate, from among the plurality of types of operation patterns based on the index information. The index information acquisition unit
Based on the state information and the prediction information, the index information is calculated by simulating the water quality, the water level, and the operation cost when the water pump is operated in each of the plurality of types of operation patterns. The sewage treatment plant operation management system according to claim 1, characterized by: The water quality, the water level, and the operating cost when the lift pump is operated in each of the plurality of types of operation patterns for each different combination of the state of the sewage treatment plant and the inflow amount of the sewage into the inflow culvert. is calculated by simulation to generate index information for each combination,
The index information acquisition unit
The sewage treatment plant according to claim 1, wherein information corresponding to the state information and the prediction information among the index information for each combination generated by the index information generation unit is acquired as the index information. Operation management system. The index information acquisition unit
Based on the state information and the prediction information, indicating the water quality, the water level, the operating cost, and the position of the sludge interface in the water treatment facility when the water pump is operated in each of the plurality of types of operation patterns. The operation management system for a sewage treatment plant according to any one of claims 1 to 3, wherein information including information is acquired as the index information. The operation pattern selection unit
5. The operation pattern candidate is selected based on a sum of values obtained by weighting each of the water level, the water quality, and the operating cost. sewage treatment plant operation management system. The operation pattern selection unit
At least one of the operation pattern prioritizing the water level, the operation pattern prioritizing the water quality, and the operation pattern prioritizing the operating cost is selected as the operation pattern candidate. or an operation management system for a sewage treatment plant according to claim 1. a state information acquisition step of acquiring state information indicating the state of a sewage treatment plant that treats the sewage pumped up by a pump from underground facilities including an inflow culvert into which the sewage flows;
a prediction information obtaining step of obtaining prediction information indicating a predicted inflow amount of the sewage into the inflow culvert;
Based on the state information and the prediction information, the water quality of the treated water of the sewage treatment plant, the water level of the inflow culvert, and the operating cost of the sewage treatment plant when the pump is operated in each of a plurality of types of operation patterns. an index information obtaining step of obtaining index information including information indicating
and an operation pattern selection step of selecting an operation pattern candidate, which is an operation pattern candidate, from the plurality of types of operation patterns based on the index information. a state information acquisition step of acquiring state information indicating the state of a sewage treatment plant that treats the sewage pumped up by a pump from underground facilities including an inflow culvert into which the sewage flows;
a prediction information obtaining step of obtaining prediction information indicating a predicted inflow amount of the sewage into the inflow culvert;
Based on the state information and the prediction information, the water quality of the treated water of the sewage treatment plant, the water level of the inflow culvert, and the operating cost of the sewage treatment plant when the pump is operated in each of a plurality of types of operation patterns. an index information obtaining step of obtaining index information including information indicating
and an operation pattern selection step of selecting an operation pattern candidate, which is an operation pattern candidate, from the plurality of types of operation patterns based on the index information.

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