JP7499999B1 - Wastewater treatment equipment - Google Patents

Abstract

A wastewater treatment device (100) that performs wastewater treatment for a facility (1) is characterized by comprising: a data acquisition means (2) that inputs data on the operating status of the facility (1); a prediction means (S2, S3) that predicts peak hours of power consumption for the facility (1) based on the data acquired by the data acquisition means (2); and a control unit (3) that performs wastewater treatment while avoiding the peak hours of power consumption predicted by the prediction means (S2, S3).

Description

The present application relates to a wastewater treatment device .

In general, wastewater treatment is carried out in response to changes in the quality or volume of the inflowing wastewater. In particular, at sewage treatment plants, the quality and volume of inflowing wastewater fluctuate depending on factors such as the weather, so wastewater treatment facilities are operated by predicting information related to the quality and volume of inflowing wastewater.

For example, Patent Document 1 describes an operation control device and an operation control method for a wastewater treatment facility that separately acquires data on human activity and data on weather, predicts the amount of wastewater discharged and the time of wastewater inflow based on each data, predicts the load on the wastewater treatment facility and the increase in the amount of wastewater discharged, and controls the operation of the wastewater treatment facility based on the prediction results. Patent Document 2 describes an operation control method that performs wastewater treatment at night by comparing power consumption during the day and at night.

JP 2019-166431 A JP 2018-187612 A

However, while wastewater treatment facilities are operated to optimally manage their operating conditions based on information on human activity and weather, they have not been operated while constantly taking into account the power consumption of the facility in which they are installed. Also, when comparing power consumption at night and during the day, treating wastewater at night necessitates a large tank to store the wastewater generated during the day, which creates the problem of the wastewater treatment device becoming larger.

This application has been made to solve the problems described above, and aims to provide a wastewater treatment device that can level out the power consumption of the facility in which it is installed, without the need to enlarge the device by treating wastewater during avoidance of peak power consumption hours.

The wastewater treatment device disclosed in the present application is a device for treating wastewater from a facility, and includes a data acquisition means for inputting data on the operating status of the facility, a prediction means for predicting a peak time period for power consumption of the facility based on data acquired by the data acquisition means, a control unit for treating wastewater while avoiding the peak time period for power consumption predicted by the prediction means , a wastewater storage tank for storing wastewater, a water conveying means for conveying the wastewater stored in the wastewater storage tank, and an ozone supplying unit for injecting ozone into the wastewater while the wastewater is being discharged from the wastewater storage tank to a retention tank by the water conveying means, and is characterized in that ozone generated in the ozone supplying unit during a start-up operation period before discharge from the wastewater storage tank is started and a stop operation period after discharge from the wastewater storage tank is completed is introduced into the wastewater storage tank or the retention tank and ventilated into the wastewater to decompose and remove the ozone, and the ozone is released to the atmosphere from the exhaust ozone decomposition tower .

According to the wastewater treatment device disclosed in this application, by performing wastewater treatment during avoidance of peak power consumption times, it is possible to level out the power consumption of the facility in which the wastewater treatment device is installed.

1 is a functional configuration diagram showing a wastewater treatment device according to a first embodiment. FIG. 2 is a diagram showing an example of a hardware configuration of a control unit of the wastewater treatment device according to the first embodiment; FIG. FIG. 4 is a functional configuration diagram showing another wastewater treatment device according to the first embodiment. FIG. 2 is a diagram for explaining a configuration including a plurality of wastewater storage tanks, each of which is the same as the wastewater storage tank shown in FIG. 1 . 4 is a flowchart illustrating the operation of the wastewater treatment device according to the first embodiment. 4 is a flowchart illustrating the operation of the wastewater treatment device according to the first embodiment. FIG. 11 is a functional configuration diagram showing a wastewater treatment device according to a second embodiment. FIG. 1 is a diagram illustrating an example of a machine learning device for prediction. FIG. 1 is a diagram illustrating an example of a machine learning device for prediction.

Embodiment 1
Hereinafter, preferred embodiments of the wastewater treatment device according to the present application will be described with reference to the drawings. Note that the same reference numerals are used for the same contents and corresponding parts, and detailed descriptions thereof will be omitted. In the following embodiments, the same reference numerals are used to designate the same components, and redundant descriptions will be omitted.

The wastewater treatment device of the present application is installed in a facility capable of intermittent wastewater treatment, such as a factory, a commercial facility, an educational facility, or a medical facility. The treatment method of the present application is replaced with the following explanation of the configuration and operation of the treatment device. Note that the wastewater treatment device described in the embodiment is merely an example for explaining the wastewater treatment device according to the present application, and is not limited thereto.

Figure 1 is a schematic diagram showing the configuration of a wastewater treatment device according to embodiment 1. The wastewater treatment device 100 is placed in a facility 1 capable of treating wastewater intermittently. For example, facility 1 includes a factory, commercial facility, educational facility, or medical facility that treats a smaller amount of wastewater than a sewage treatment plant. In Figure 1, dashed arrows indicate the means and direction of signal transmission, and solid arrows indicate the direction of fluid flow.

The data acquired by the data acquisition means 2, which is installed in the wastewater treatment device 100, includes data based on the operating status of the equipment within the facility 1, data on changes in wastewater volume occurring within the facility 1, etc.

Means for acquiring data based on the operation status of facility 1 include collecting data on the amount of clean water supply, usage, or pressure changes in the pipe network within facility 1, and collecting data on the amount of electricity usage within facility 1. Data may be acquired from the administrator of each data (telecommunications company, waterworks bureau, power company, etc.). Data on the operation of the facility may include calendar-based information such as weekdays, holidays, and regular closing days of the facility. Location information from mobile devices can also be used as data based on the actual activities of people within facility 1. This can be acquired by collecting data on GPS location signals. It is preferable that the data includes at least one type.

In addition, data regarding changes in the amount of wastewater generated within facility 1 includes, for example, data related to the amount of wastewater flowing into the wastewater treatment equipment and the quality of the wastewater.

The data acquisition means 2 is connected to the control unit 3 via the data transmission means 4b. The control unit 3 includes a memory unit 5 for recording the acquired data, a calculation unit 6 for estimating the amount of wastewater generated and the trends in power consumption based on the acquired data, and a judgment unit 7 for making judgments based on the results obtained by the calculation unit 6.

2 shows an example of the hardware of the microcomputer in the control unit 3. It is composed of a processor 200 and a storage device 300, and the functions of the calculation unit 6 and the judgment unit 7 are performed by the processor 200, and the functions of the memory unit 5 are performed by the storage device 300. Although not shown, the storage device 300 is equipped with a volatile storage device such as a random access memory and a non-volatile auxiliary storage device such as a flash memory. In addition, instead of the flash memory, an auxiliary storage device such as a hard disk may be provided. The processor 200 executes a program input from the storage device 300 to perform, for example, the calculation and judgment of steps S1 to S13 described below. In this case, the program is input from the auxiliary storage device to the processor 200 via the volatile storage device. In addition, the processor 200 may output data such as the calculation results to the volatile storage device of the storage device 300, or may store the data in the auxiliary storage device via the volatile storage device. By performing the calculation and judgment of steps S1 to S13, the function of the data acquisition means 2 for acquiring and storing data related to the operation status of the equipment, which will be described below, and the function of calculating a prediction of the peak time of power consumption (prediction means) are provided.

The control unit 3 controls each device provided in the wastewater treatment device 100 based on the calculation results from the calculation unit 6 or the judgment results from the judgment unit 7. The control unit 3 is connected to the storage volume measurement means 8 via the data transmission means 4a. The storage volume measurement means 8 can be a water level sensor that measures the wastewater storage volume in the wastewater storage tank 9, a drainage flow meter or water pressure gauge that can be installed in the drainage pipes 18a, 18b1, or the like.

The control unit 3 is connected to the water supply means 10 and the ozone supply unit 11 using signal transmission means 17a and 17b. For example, the water supply means 10 may be a pump that pumps wastewater at a predetermined flow rate and pressure. The ozone supply unit 11 is composed of a raw material gas supply means 12 and an ozone generator 13. The ozone supply unit 11 may be configured to include an ozone gas storage device 14 that stores the ozone generated by the ozone generator 13. The raw material gas supply means 12 may be a pressure-resistant container for gas or an oxygen generator.

As shown in FIG. 1, the raw gas supply means 12 of the ozone supply unit 11 is connected to the gas injection means 16 through the ozone generator 13 via the gas piping 15a. The gas injection means 16 can be, for example, an ejector, a means for generating fine bubbles such as microbubbles, or the like. The ozone gas storage device 14 is disposed between the ozone generator 13 and the gas injection means 16. Furthermore, the ozone supply unit 11 may be configured to be connected to the exhaust ozone decomposition tower 21 via the gas piping 15b. With this configuration, ozone generated during the start-up and stop-up operation of the ozone supply unit 11 can be introduced into the exhaust ozone decomposition tower 21, and the ozone contained in the exhaust gas can be decomposed and removed and released to the atmosphere. As a result, the period from the start to the end of ozone injection can be treated at the set ozone injection rate.

The raw gas, such as oxygen or air, required for ozone generation is adjusted to a predetermined flow rate and pressure from raw gas supply means 12 and supplied to ozone generator 13. The ozonized oxygen gas or ozonized air generated by ozone generator 13 is collectively referred to as ozone in the following explanation, and is injected into wastewater via gas injection means 16 at a predetermined flow rate and pressure.

The wastewater storage tank 9 is connected to a drainage pipe 18a into which the wastewater flows and a drainage pipe 18b1 from which the wastewater is discharged. The drainage pipe 18b1 is connected to the gas injection means 16 via the water supply means 10. By configuring the wastewater to be stored in the wastewater storage tank 9, the water supply means 10 can be operated based on a signal 17b from the control unit 3, and the wastewater can be discharged at a predetermined flow rate.

This allows the amount of ozone injected per unit water volume to be controlled, and an appropriate amount of ozone to be injected into the wastewater in order to remove organic matter in the wastewater. Furthermore, the wastewater can be treated by avoiding peak hours of power consumption in facility 1. A water pressure gauge may be provided on the drainage pipe 18b1 near the outlet of the wastewater storage tank 9, allowing the amount of wastewater stored in the wastewater storage tank 9 to be grasped.

The drain pipe 18b2 downstream of the gas injection means 16 is connected to the bottom of the retention tank 19. A drain pipe 18c is connected to the top of the retention tank 19. The wastewater introduced into the retention tank 19 is retained in the retention tank 19 for a predetermined time, and then discharged from the retention tank 19 to the drain pipe 18c. By retaining the ozone-treated wastewater in the retention tank 19 for a predetermined time, gas-liquid separation of the wastewater and gas not dissolved in the wastewater is performed in the retention tank 19. The dissolved ozone in the wastewater self-decomposes and is removed.

The exhaust pipe 20 is connected to a higher position than the connection port of the drain pipe 18c of the retention tank 19, and the end of the exhaust pipe 20 is opened to the atmosphere via the exhaust ozone decomposition tower 21. The exhaust ozone decomposition tower 21 uses an ozone decomposition catalyst or the like to decompose the ozone contained in the gas exhausted from the retention tank 19. Furthermore, the exhaust ozone decomposition tower 21 may be provided with a function of removing odors.

Although Fig. 1 shows a configuration in which wastewater is not circulated, as shown in Fig. 3, a valve for switching the wastewater flow path may be provided in the drainage piping 18b2 downstream of the gas injection means 16, and the wastewater may be circulated to the wastewater storage tank 9. Alternatively, the wastewater may be circulated from the retention tank 19 to the wastewater storage tank 9. When the wastewater is circulated to the wastewater storage tank 9, an exhaust ozone decomposition tower 21a is connected above the wastewater storage tank 9 via an exhaust piping 20a. This makes it possible to remove ozone contained in the exhaust gas from the wastewater storage tank 9.

Wastewater generated in facility 1 is stored in wastewater storage tank 9 via drainage piping 18a. The amount of wastewater stored in wastewater storage tank 9 is measured by storage amount measuring means 8, and the measurement result is transmitted to control unit 3 via data transmission means 4a. In control unit 3, based on the measurement result of storage amount measuring means 8, judgment unit 7 judges that the wastewater storage amount in wastewater storage tank 9 has reached a predetermined value or has fallen below a predetermined value, and controls wastewater treatment device 100. Note that storage amount measuring means 8 may be configured to judge that the wastewater storage amount in wastewater storage tank 9 has reached a predetermined value or has fallen below a predetermined value, based on the measurement result, and transmit it to control unit 3.

The water supply means 10 operates based on a signal from the control unit 3, and the wastewater stored in the wastewater storage tank 9 is pressure-fed by the water supply means 10 to the downstream gas injection means 16. The gas injection means 16 injects ozone supplied from the ozone supply unit 11 into the wastewater. The ozone injected from the gas injection means 16 reacts with organic matter in the wastewater and is decomposed. The gas generated by the reaction of ozone with the organic matter and the gas containing unreacted ozone are introduced into the retention tank 19 together with the wastewater.

The wastewater introduced into the retention tank 19 remains there until it is discharged from the drainage pipe 18c. Some of the gas introduced into the retention tank 19 together with the wastewater is dissolved in the wastewater and discharged together with the wastewater from the drainage pipe 18c. The remaining gas that did not dissolve in the wastewater is separated into gas and liquid in the retention tank 19 and released into the atmosphere through the exhaust pipe 20 and the exhaust ozone decomposition tower 21.

The drainage pipes 18a, 18b1, and 18b2 are provided with means necessary for storing and discharging the wastewater, such as valves (not shown), and the gas pipe 15 is provided with means necessary for controlling the injection of gas, such as valves (not shown). The means necessary for storing and discharging the wastewater, such as valves arranged in the drainage pipes 18a, 18b1, and 18b2 and the gas pipe 15, may be connected to and controlled by the control unit 3.

Figure 4 is a diagram showing a configuration having multiple wastewater storage tanks, as shown in Figure 1. Here, an example will be described in which two wastewater storage tanks 9a and 9b are provided. Valves 22a and 22b are provided in the wastewater storage tanks 9a and 9b, respectively, for switching the flow path to the wastewater pipe 18a and the wastewater pipe 18b1. This makes it possible to switch between the wastewater storage tanks 9a and 9b that store wastewater, or to switch the wastewater from the wastewater storage tanks 9a and 9b.

Valve 22b may be a flow path switching means having the function of switching the flow path of drainage storage tanks 9a, 9b that discharge to drainage pipe 18b1 and stopping the drainage of drainage pipe 18b1. This allows drainage to be stored in drainage storage tanks 9a, 9b when drainage is not performed from drainage storage tanks 9a, 9b. Valves 22a, 22b are connected to control unit 3 via signal transmission means 17b and operate based on a signal from control unit 3.

In the case of a configuration as shown in Figure 3 in which a valve for switching the drainage flow path is provided in the drainage piping 18b2 downstream of the gas injection means 16 and the drainage is circulated to the drainage storage tanks 9a and 9b, an exhaust ozone decomposition tower 21a is connected to the upper part of each of the drainage storage tanks 9a and 9b via an exhaust piping 20a.

By switching the flow path with valve 22a of drainage pipe 18a, wastewater generated in facility 1 is stored in drainage storage tank 9a or drainage storage tank 9b. When the amount of wastewater stored in one of drainage storage tanks 9a or 9b, for example drainage storage tank 9a, reaches a predetermined value, it switches to drainage storage tank 9b and the wastewater is stored there. The wastewater stored in drainage storage tank 9a or drainage storage tank 9b is drained by switching valve 22b based on signal 17b from control unit 3. Valve 22b drains the wastewater stored in drainage storage tanks 9a and 9b by switching the flow path of drainage pipe 18b1.

Next, the operation of the wastewater treatment device according to the first embodiment will be described with reference to the flowcharts of FIG. 5 and FIG. 6. By performing wastewater treatment while avoiding the peak power hours of the facility 1, the maximum demand power of the facility 1 is leveled. Based on data on the operation status in the facility 1, the time change in the power consumption of the facility 1 and the water volume change in the amount of wastewater generated are predicted, and wastewater treatment is performed while avoiding the peak power hours of the facility 1. That is, the power consumption in the facility is measured and compared with past data to predict the peak power consumption time. In addition, the amount of wastewater generated (change in the amount of wastewater storage) is predicted by measuring the power consumption, the amount of clean water used, and the number of people in the facility, which are data on the operation status of the equipment in the facility 1. For example, in the case of a commercial facility, when people start to work in the facility, the lights are turned on and the clean water is used for cooking, cleaning, toilet water, etc., and the amount of wastewater is generated according to the amount of clean water used. For this reason, the peak power consumption time and the amount of wastewater stored can be predicted by measuring the power consumption, the amount of clean water used, and the number of people, and wastewater treatment can be performed while avoiding the peak power consumption time.

To achieve this, data on the operating status of the equipment in facility 1 is acquired by data acquisition means 2. In addition to the data, data on changes in wastewater volume that have occurred in facility 1 is also acquired and stored (step S1).

Based on the data acquired by the data acquisition means 2, which increases due to the operation status of the facility, the control unit 3 predicts the time change in the power consumption of the facility 1 and the change in the amount of wastewater generated (step S2). The predicted value of the time change in the power consumption is used to calculate the peak time of the power consumption of the facility 1. Furthermore, the change in the amount of stored wastewater in the wastewater storage tank 9 is calculated from the predicted value of the amount of wastewater generated (step S3). These calculation results can be calculated more accurately by correcting them based on past data on the change in the power consumption of the facility 1 and the change in the amount of wastewater generated stored in the memory unit 5 (step S4). In this embodiment, the wastewater treatment is not performed during the peak time or peak period of the power consumption of the facility 1, but the generated wastewater is stored in the wastewater storage tank 9 and the wastewater treatment is performed outside the peak time or peak period (step S7). The peak period of power consumption here is, for example, within 300 minutes before and after the calculated peak time of power consumption, preferably within 150 minutes before and after the peak time. However, it is not limited to this.

If it is predicted that the amount of wastewater stored in the wastewater storage tank 9 will be a predetermined amount of water during the calculated peak time period of the most recent power consumption (step S5), then drainage treatment is performed before this peak time period (step S6). For this reason, a volume capable of storing wastewater generated during the peak time period of power consumption is secured in the wastewater storage tank 9. When multiple wastewater storage tanks 9a, 9b are provided, if it is predicted that wastewater will not be able to be stored in any of the wastewater storage tanks 9a, 9b during the peak time period of power consumption in the facility 1, the wastewater stored in the wastewater storage tanks 9a, 9b is treated. Alternatively, the configuration may be such that wastewater from at least one of the wastewater storage tanks 9a, 9b is treated, and a volume capable of storing wastewater generated during the peak time period of power consumption is prepared.

When the control unit 3 determines that wastewater treatment is to be performed, it sends a signal to the ozone supply unit 11 to prepare for operation (step S8) and prepares the ozone supply unit 11 for operation. After the gas injection means 16 prepares the ozone supply unit 11 to inject ozone of a predetermined concentration into the wastewater at a predetermined flow rate, the control unit 3 sends a signal to the water supply means 10 to start wastewater treatment (step S9) and sends the wastewater stored in the wastewater storage tank 9 to the gas injection means 16 (step S10). In the case of multiple wastewater storage tanks 9a and 9b, the control unit 3 also sends a signal to the valve 22b. Ozone generated during the preparation for operation of the ozone supply unit 11 is sent to the exhaust ozone decomposition tower 21 for exhaust ozone treatment and then released to the atmosphere. This makes it possible to achieve an ozone injection rate for the wastewater as set from the start of wastewater treatment. In addition, by injecting a predetermined value of ozone into the wastewater immediately after the start of treatment, it is possible to prevent wastewater with insufficient decomposition and removal of organic matter from being discharged to the subsequent stage. Alternatively, since the period during which the ozone injection rate is insufficient immediately after the start of treatment is short, the water conveying means 10 and the ozone supplying unit 11 may be operated simultaneously.

When the amount of wastewater stored in the wastewater storage tank 9 falls below a predetermined value (step S11), the control unit 3 stops the water supply means 10 (step S12) and stops the ozone supply unit 11 (step S13). The ozone generated during the stop operation of the ozone supply unit 11 is treated as waste ozone in the waste ozone decomposition tower 21.

When a valve for switching the drainage flow path is attached to the drainage pipe 18b2 downstream of the gas injection means 16 and the drainage is circulated to the drainage storage tank 9 for treatment, the drainage may be configured to inject ozone generated during preparation for the operation of the ozone supply unit 11 into the drainage so that the drainage circulates through the gas injection means 16 a predetermined number of times. In this case, when the control unit 3 determines that drainage treatment is to be performed, it transmits a drainage treatment signal to the water conveying means 10, the ozone supply unit 11, and the valves 22a and 22b.

When the peak time period of power consumption of the facility 1 is calculated and wastewater treatment is performed before the calculated most recent peak time period of power consumption, it is preferable to start the stop operation of the ozone supply unit 11 before the most recent peak time period of power consumption. This allows wastewater treatment to be performed while avoiding the peak time period of power consumption, and the maintenance and management costs of the facility 1 are reduced by leveling out the power consumed by the facility 1 and suppressing the maximum power demand. On the other hand, when wastewater treatment is performed after the most recent peak time period of power consumption, it is preferable to start the operation of the ozone supply unit 11 after the predicted peak time period of power consumption has passed. This allows wastewater treatment to be performed while avoiding the peak time period of power consumption. It is preferable that the control unit 3 controls the number of times the wastewater treatment device is operated per day to be minimized.

As shown in FIG. 3, in a wastewater treatment device having multiple wastewater storage tanks (two tanks in this embodiment, so the following description will be given for two tanks, but the same applies to three or more tanks), when the wastewater stored in the wastewater storage tank 9a reaches a predetermined water volume, the wastewater is switched to the wastewater storage tank 9b that stores the wastewater. If the switch to the wastewater storage tank 9b does not correspond to a peak power consumption time period, the wastewater treatment may be performed at the same time as the switch to the wastewater storage tank 9b. Alternatively, since power is consumed to start the wastewater treatment device, the wastewater in all the wastewater storage tanks 9a and 9b may be treated together when all the wastewater storage tanks 9a and 9b exceed a predetermined water volume. When the wastewater treatment is performed when all the wastewater storage tanks 9a and 9b reach a predetermined water volume, the wastewater in the wastewater storage tanks 9a and 9b is discharged by switching sequentially. This allows the wastewater generated during the discharge time period to be discharged while being stored in multiple wastewater storage tanks. Furthermore, the number of times the wastewater treatment device is operated per day can be minimized.

The control unit 3 grasps the amount of wastewater stored in the wastewater storage tank 9 using the storage amount measurement means 8. When the control unit 3 predicts that wastewater will not be able to be stored during the predicted peak power consumption time period based on the relationship between the wastewater storage amount and the predicted amount of wastewater generated, it operates the water supply means 10 via the signal transmission means 17b to supply wastewater from the wastewater storage tank 9. When it is determined that wastewater treatment should be performed before the peak power consumption time period, the maximum amount of wastewater is stored and discharged until just before the immediately preceding peak time. This makes it possible to avoid peak power consumption times for the facility 1 and perform wastewater treatment the minimum number of times. The storage amount measurement means 8 detects that the amount of wastewater stored in the wastewater storage tank 9 has fallen below a predetermined amount, and the wastewater treatment process is terminated.

In a wastewater treatment device equipped with one wastewater storage tank 9, when draining the wastewater storage tank 9, the control unit 3 stops the drainage of the drainage pipe 18b1 by operating the valve 22b when the drainage process is completed. When switching between multiple wastewater storage tanks 9 for wastewater treatment, the control unit 3 switches the valve 22b to switch the wastewater storage tank 9 from which to drain. The wastewater from the wastewater storage tank 9 is drained sequentially, and when the drainage process is completed, the valve 22b stops the drainage of the drainage pipe 18b1.

Furthermore, if the ozone supply unit 11 is equipped with an ozone gas storage device 14, the amount of ozone required for wastewater treatment is stored avoiding peak power consumption hours. This allows wastewater treatment to be performed without affecting the maximum power demand of the facility 1, even during peak power consumption hours. Since wastewater treatment can be performed during peak power consumption hours, the wastewater storage tank 9 can be made smaller, and the wastewater treatment device can be made smaller.

If the actual amount of wastewater discharged is greater than the predicted amount, and all of the wastewater storage tanks 9 exceed the predetermined value and become full, the system will perform drainage treatment even during peak power hours. This will prevent wastewater from overflowing from the wastewater storage tanks 9.

As described above, according to the first embodiment, by performing wastewater treatment while avoiding as much as possible the peak hours of predicted power consumption of facility 1, the power consumed by facility 1 can be leveled out, thereby suppressing an increase in the maximum power demand of facility 1. In addition, since there is no need to enlarge the wastewater treatment device, the maintenance and management costs of facility 1 can be suppressed.

In addition, because the amount of wastewater from a facility increases due to the operation of the equipment installed in the facility, the wastewater treatment device can be operated at the optimal time based on information on the equipment's operating status. Furthermore, if all of the wastewater storage tanks become full during peak power consumption hours of the facility in which the drainage device is installed, wastewater is treated even during peak hours, preventing wastewater from overflowing from the wastewater storage tanks. By performing wastewater treatment during times when peak power consumption is avoided as much as possible, the facility's peak power consumption can be minimized, and the maintenance costs of the entire facility in which the wastewater treatment equipment is installed can be reduced.

Embodiment 2
In the second embodiment, the ozone supply unit 11 is connected to the wastewater storage tank 9 and/or the retention tank 19 via a gas pipe 15 .
FIG. 7 is a diagram showing the configuration of a wastewater treatment device according to the second embodiment. In the figure, the same reference numerals are used for the same contents as those in the first embodiment, and the description thereof will be omitted. In the second embodiment, the ozone supply unit 11 is connected to the lower part of the wastewater storage tank 9 or the lower part of the retention tank 19 via a gas pipe 15. The upper part of the wastewater storage tank 9 is connected to the exhaust ozone decomposition tower 21 via an exhaust pipe 20a, as in the retention tank 19. The ozone generated during the start-up operation of the ozone supply unit 11 is introduced into the wastewater storage tank 9 or the retention tank 19 and aerated into the wastewater, whereby the ozone is decomposed. As a result, the ozone generated during the start-up operation or the stop operation of the ozone supply unit 11 is used for decomposing organic matter in the wastewater, and the generated ozone can be used for treatment without waste. Furthermore, by reducing the concentration of ozone generated in the ozone supply unit 11 in the upstream of the exhaust ozone decomposition tower 21, the exhaust ozone concentration is reduced, and the exhaust ozone decomposition tower 21 can be made smaller in size.

There is no particular limitation on the method for calculating the peak power consumption time periods and the amount of storage in the drainage storage tank shown in steps S2 and S3 of Figure 5. As an example, a machine learning device using AI may be used as described below.

<Learning Phase>
First, in the learning phase, as shown in Fig. 8, for example, an input B1 of the amount of clean water supply (hereinafter, clean water supply amount) and an input B2 of the amount of power consumption in the facility (hereinafter, power consumption amount) are input to the data acquisition unit 31 of the learning device 30. The data acquisition unit 31 acquires the inputs B1 and B2 as learning data. In this embodiment, two inputs B1 and B2 are described, but it is not necessary to input all of them. Also, at least one or more pieces of data may be selected by adding the number of people based on location information from a mobile device. Also, a type of data such as the amount of change may be added.

The model generation unit 32 learns the storage volume of the wastewater storage tank during peak power consumption hours from learning data created based on a combination of inputs B1 and B2 output from the data acquisition unit 31. That is, a trained model is generated that infers the storage volume of the wastewater storage tank during peak power consumption hours from the input B1 of the clean water supply volume and the input B2 of the power consumption volume. Here, the learning data is data in which the input B1 of the clean water supply volume and the input B2 of the power consumption volume are associated with each other.
For example, it is configured as a model for classifying (clustering) inputs B1 and B2 during peak power consumption times and inputs B1 and B2 during power consumption times other than peak power consumption times.
The learning algorithm used by the model generation unit 32 may be a known algorithm such as supervised learning, unsupervised learning, or reinforcement learning. As an example, a case where the K-means method (clustering), which is unsupervised learning, is applied will be described. Unsupervised learning is a method of learning features in learning data that does not include results by providing the learning device with the learning data.

The model generation unit 32 learns the output C of the storage volume of the wastewater storage tank during peak power consumption hours by so-called unsupervised learning, for example, according to a grouping method using the K-means method. The K-means method is a non-hierarchical clustering algorithm that uses the cluster mean to classify a given number of clusters into k.

The model generation unit 32 generates and outputs a trained model by performing the above-mentioned learning. The trained model storage unit 33 stores the trained model output from the model generation unit 32.

<Utilization phase>
Next, the utilization phase in which this trained model is utilized will be described with reference to FIG. 9. The inference device 40 includes a data acquisition unit 41 and an inference unit 42. The data acquisition unit 41 acquires an input B1 of the amount of clean water supply and an input B2 of the amount of power consumption. The inference unit 42 infers an output C of the amount of storage in the wastewater storage tank during peak time period power consumption obtained by utilizing the trained model stored in the trained model storage unit 33. That is, by inputting the inputs B1 and B2 acquired by the data acquisition unit 41 to this trained model, it is possible to infer which cluster the inputs B1 and B2 belong to, the cluster of peak time period power consumption or the cluster of power consumption outside the peak time period, and output the inference result, the amount of storage in the wastewater storage tank during the peak time period power consumption, as the output C.

In the above example, two inputs B1 and B2 are used, but not all of them need to be input. At least one piece of data may be selected, including the number of people based on location information from a mobile device. Further types of data, such as the amount of change in each, may be added. The learning device 30 and the inference device 40 may be configured as hardware, including the processor 200 and storage device 300 shown in FIG. 2. Although the above describes clustering using the K-means method, any known method capable of clustering may be used.

Although the present application describes various exemplary embodiments and examples, the various features, aspects, and functions described in one or more embodiments are not limited to application to a particular embodiment, but may be applied to the embodiments alone or in various combinations.
Therefore, countless modifications not exemplified are assumed within the scope of the technology disclosed in the present specification, including, for example, modifying, adding, or omitting at least one component, and further, extracting at least one component and combining it with a component of another embodiment.

1: Facility, 2: Data acquisition means, 3: Control unit, 4a, 4b: Data transmission means, 5: Memory unit, 6: Calculation unit, 7: Judgment unit, 8: Storage volume measurement means, 9, 9a, 9b: Wastewater storage tank, 10: Water supply means, 11: Ozone supply unit, 12: Raw gas supply means, 13: Ozone generator, 14: Ozone gas storage device, 15, 15a, 15b: Gas piping, 16: Gas injection means, 17a, 17b: Signal transmission means, 18a, 18b1, 18b2, 18c: Drainage piping, 19: Retention tank, 20, 20a: Exhaust piping, 21, 21a: Waste ozone decomposition tower, 22a, 22b: Valves.

Claims (4)

In a wastewater treatment device for treating wastewater from a facility,
A data acquisition means for inputting data relating to the operation status of the facility;
A prediction means for predicting a peak time period of power consumption of the facility based on the data acquired by the data acquisition means;
a control unit that performs the drainage treatment while avoiding the peak time period of the power consumption predicted by the prediction means;
A wastewater storage tank for storing wastewater;
A water supply means for supplying the wastewater stored in the wastewater storage tank;
an ozone supplying unit that injects ozone into the wastewater while the wastewater is being discharged from the wastewater storage tank to the retention tank by the water conveying means;
Equipped with
a wastewater treatment device, characterized in that ozone generated in the ozone supply unit during a start-up operation period before discharge from the wastewater storage tank is started and during a stop-operation period after discharge from the wastewater storage tank is completed is introduced into the wastewater storage tank or the retention tank and aerated into the wastewater, thereby decomposing and removing the ozone, and releasing the ozone to the atmosphere from the waste ozone decomposition tower . A means for predicting the amount of wastewater generated by the facility ;
A means for grasping the amount of wastewater stored in the wastewater storage tank;
Further equipped with
The wastewater treatment device according to claim 1, wherein the wastewater stored in the wastewater storage tank is treated either before or after the peak power consumption period. The wastewater treatment device according to claim 2, characterized in that the control unit instructs the water conveying means to operate when wastewater treatment is performed either before or after the peak power consumption period. The wastewater treatment device according to claim 1 , wherein the data for grasping the operation status of the facility is at least one of an amount of power consumption and an amount of clean water consumption of the facility.

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