A method, device and medium for controlling operation of aerobic granular sludge

Abstract

The present invention discloses an operation control method, equipment and medium of aerobic granular sludge, which belongs to the technical field of aerobic granular sludge automatic control system, and is used to solve the technical problems that the existing aerobic granular sludge automatic control system has incomplete control of sludge discharge data, is difficult to form targeted sludge discharge data analysis and control performance, has high labor costs, and has a low degree of automation of the system. The method includes: real-time monitoring of the sewage flow in the aerobic granular sludge automatic control system to obtain key monitoring data; based on the aerobic sludge content data in the key monitoring data, calculating the oxygen demand of the current sewage flow in the aerobic granular sludge automatic control system to obtain the oxygen demand target value; adjusting and controlling the current dissolved oxygen concentration in the key monitoring data and the oxygen demand target value by PID to obtain the optimal dissolved oxygen concentration; and performing PLC adjustment and control on the operation load of the aerobic granular sludge to obtain the optimal water-wind control quantity data.

Description

Technical Field

[0001] The present application relates to the field of aerobic granular sludge automatic control system, and in particular to an aerobic granular sludge operation control method, equipment and medium. Background Art

[0002] In the prior art, conventional test data related to aerobic granular sludge are conventional data such as water inlet flow, aeration flowmeter, temperature, dissolved oxygen, pH value, sludge concentration, etc. For example, COD (chemical oxygen demand) and granular sludge content are not introduced. Only the laboratory technician can provide the data to the commissioning engineer through testing, and the engineer can know the operating load of the aerobic granular sludge operation system and the treatment effect through manual calculation. Therefore, the data provided by PLC or DCS can only play a guiding role.

[0003] Because the detection data is limited, the degree of automation is also limited. It can basically realize the start and stop control of the equipment. Most of the online instrument data only plays a role in detection. The interlocking control is basically only the dissolved oxygen and aeration fan interlocking, without analysis control function and formula algorithm. The interlocking of dissolved oxygen and aeration fan is to control the frequency converter frequency of the aeration fan through PID adjustment through the feedback of the online dissolved oxygen meter and the set target value. Although interlocking control can be achieved, there are many disadvantages. First, the position of the online dissolved oxygen meter is fixed, and the data is not representative. If the position changes slightly, the data will change, and it needs to rely on the experience of the debugging engineer to find a reasonable target value during debugging to play a certain role; secondly, when the online dissolved oxygen meter detects large bubbles, it is easy to fluctuate. Once the data fluctuates, the frequency of the inverter will also fluctuate, so it is frequently interfered and difficult to control stably.

[0004] In addition, the data that needs to be tested is slow and has a strong lag, which also lags the operation control of the system, so the debugging time will be long and waste time. The personnel demand is large, and the fan control is unstable and consumes a lot of energy. At the same time, experienced debugging engineers and experienced operators are also needed, and there is a strong dependence on experienced engineers. Summary of the invention

[0005] The embodiments of the present application provide an aerobic granular sludge operation control method, equipment and medium for solving the following technical problems: the existing aerobic granular sludge automatic control system has incomplete sludge discharge data control, and it is difficult to form targeted sludge discharge data analysis and control performance, and the labor cost is high and the system automation level is low.

[0006] The present application embodiment adopts the following technical solutions:

[0007] On the one hand, an embodiment of the present application provides an operation control method for aerobic granular sludge, including: real-time monitoring of the sewage flow in the aerobic granular sludge automatic control system through pre-deployed multiple types of sensors to obtain key monitoring data; calculating the oxygen demand of the current sewage flow in the aerobic granular sludge automatic control system according to the aerobic sludge content data in the key monitoring data to obtain an oxygen demand target value; adjusting and controlling the PID related to the current dissolved oxygen concentration in the key monitoring data and the oxygen demand target value to obtain an optimal dissolved oxygen concentration; based on the optimal dissolved oxygen concentration, performing PLC adjustment control on the operation load of the aerobic granular sludge to obtain optimal water-wind control quantity data, so as to complete the generation control of the optimal growth environment of the aerobic granular sludge.

[0008] The embodiment of the present application can accurately control the aerobic granular sludge automatic control system by utilizing the precise control of PID and PLC, and realizes automatic control of the operating load of aerobic granular sludge, automatic control of the optimal growth environment of aerobic granular sludge, automatic control of the aeration volume, i.e., oxygen demand, automatic control of the water intake, and automatic control of the sludge discharge volume of aerobic granular sludge, etc. At the same time, the operation control method of the aerobic granular sludge has strong stability, fast response speed, high activity, and can also improve energy-saving efficiency, and accurately control the air supply and water intake. It also provides the best dissolved oxygen environment for the growth of aerobic granular sludge, and facilitates the realization and integration of aerobic granular sludge. The aerobic granular sludge automatic control system is highly intelligent, can completely get rid of human factors, and greatly improves the economic benefits of aerobic granular sludge.

[0009] In a feasible implementation manner, the sewage flow in the aerobic granular sludge automatic control system is monitored in real time by pre-deployed multiple types of sensors to obtain key monitoring data, specifically including: arranging an inlet flow meter at the sewage flow inlet of the aerobic granular sludge automatic control system, collecting the inlet flow data of the sewage flow through the inlet flow meter, and generating a corresponding inlet flow curve; arranging an online COD detector at the inlet and outlet of the aerobic granular sludge automatic control system, collecting the first COD content data of the inlet and the second COD content data of the outlet through the online COD detector, and generating corresponding inlet and outlet COD content curves; arranging a gas flow meter in the aerobic zone of the aerobic granular sludge automatic control system , the gas flow data of the aerobic zone is collected through the gas flow meter, and a corresponding gas flow curve is generated; an online particle size detector is arranged in the sewage flow of the aerobic granular sludge automatic control system, and the sludge particle size data of the aerobic granular sludge in the sewage flow is collected through the online particle size detector, and a corresponding sludge particle size curve is generated; a pH value detector is arranged at the water inlet of the aerobic granular sludge automatic control system, and the pH value data of the sewage flow at the water inlet is collected through the pH value detector, and the pH value data is generated accordingly; a sludge concentration meter is arranged in the sewage flow of the aerobic granular sludge automatic control system, and the aerobic sludge content data of the aerobic granular sludge is collected through the sludge concentration meter, and an aerobic sludge content curve is generated accordingly.

[0010] In a feasible implementation manner, according to the aerobic sludge content data in the key monitoring data, the oxygen demand of the current sewage flow in the aerobic granular sludge automatic control system is calculated to obtain the oxygen demand target value, which specifically includes: according to the sludge particle size curve corresponding to the current sewage flow, the aerobic sludge content data is classified and processed to obtain flocculent sludge concentration data and granular sludge concentration data; based on the tank capacity corresponding to the current sewage flow in the aerobic granular sludge automatic control system, the flocculent sludge concentration data and the granular sludge concentration data are calculated to obtain absolute dry sludge of flocculent sludge. The absolute dry mud amount data of flocculent sludge and the absolute dry mud amount data of granular sludge are added to obtain the total absolute dry sludge amount data; according to the key points of multiple types of curves in the key monitoring data corresponding to the current sewage flow, and based on the total absolute dry sludge data, the BOD food amount data and the ammonia nitrogen content data are calculated; based on the BOD food amount data and the ammonia nitrogen content data, the oxygen demand of the current sewage flow is calculated to obtain the oxygen demand target value; wherein the oxygen demand target value corresponds to the aerobic sludge content data in the current sewage flow.

[0011] In a feasible implementation manner, the current dissolved oxygen concentration in the key monitoring data is adjusted and controlled with respect to the PID of the oxygen demand target value to obtain the optimal dissolved oxygen concentration, specifically comprising: determining the current dissolved oxygen concentration of the current sewage according to the inlet and outlet COD content curves in the key monitoring data; performing difference calculation between the current dissolved oxygen concentration and the oxygen demand target value to obtain deviation data; performing adjustment control on the deviation data through a preset PID control algorithm to obtain adjustment control parameters; and performing frequency control on the oxygen supply fan inverter based on the adjustment control parameters to obtain the optimal dissolved oxygen concentration.

[0012] In a feasible implementation manner, the deviation data is adjusted and controlled through a preset PID control algorithm to obtain an adjustment control parameter, specifically including: through the proportional link of the PID control algorithm, the deviation data is determined as the current error data; and the current error data is subjected to a positive proportional adjustment of the product output control of the proportional coefficient to determine the first control parameter; through the integral link of the PID control algorithm, the error integral accumulated by the deviation data is subjected to a steady-state error elimination process, and a second control parameter related to the product of the integral coefficient and the error integral is output; through the differential link of the PID control algorithm, the error differential of the deviation data is subjected to an error trend prediction related to the time series change rate, and a third control parameter related to the product of the error differential and the differential coefficient is output; the first control parameter, the second control parameter and the third control parameter are subjected to superimposed output control to obtain the adjustment control parameter.

[0013] In a feasible implementation manner, based on the optimal dissolved oxygen concentration, the operating load of the aerobic granular sludge is adjusted and controlled by PLC to obtain the optimal water-wind control quantity data, specifically including: through a preset PLC control system, the key monitoring data of the current sewage flow is subjected to food-micro ratio calculation to generate a food-micro ratio curve; the key monitoring data of the current sewage flow is subjected to the operation load calculation of the aerobic granular sludge to generate an operation load curve; through the PLC control system, the gas flow curve, the food-micro ratio curve and the operation load curve in the key monitoring data are subjected to multi-point trend control to obtain the optimal operation load of the current sewage flow; based on the optimal operation load and the optimal dissolved oxygen concentration, the water pump frequency and the fan frequency of the current sewage flow are feedback controlled to obtain the optimal water intake control data and the optimal air supply control data respectively; the optimal water intake control data and the optimal air supply control data are data-fused to obtain the optimal water-wind control quantity data.

[0014] In a possible implementation, according to , get the operating load of aerobic granular sludge in the aerobic zone ;in, is the amount of water treated in the aerobic zone; is the first COD content data of the water inlet in the aerobic zone; The second COD content data of the water outlet in the aerobic zone; is the total volume of the aerobic zone; is the average concentration of suspended solids in the mixed liquor in the aerobic zone; based on the operating load, and through the host computer in the aerobic granular sludge automatic control system, the operating load curve is generated.

[0015] In a possible implementation, according to , get the food-micro ratio ;in, The amount of water treated in the aerobic zone; The difference content data between the first COD content data of the water inlet in the aerobic zone and the second COD content data of the water outlet in the aerobic zone; The total volume of the aerobic zone; is the concentration of aerobic granular sludge; is the aerobic sludge content value in the aerobic sludge content data; is the amount of BOD food entering the aerobic granular sludge automatic control system; based on the food-microbe ratio and through the host computer in the aerobic granular sludge automatic control system, the food-microbe ratio curve is generated.

[0016] In the second aspect, an embodiment of the present application also provides an aerobic granular sludge operation control device, the device comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions that can be executed by the at least one processor so that the at least one processor can execute an aerobic granular sludge operation control method described in any of the above embodiments.

[0017] In the third aspect, an embodiment of the present application also provides a non-volatile computer storage medium, characterized in that the storage medium is a non-volatile computer-readable storage medium, and the non-volatile computer-readable storage medium stores at least one program, each of which includes instructions, and when the instructions are executed by a terminal, the terminal executes an aerobic granular sludge operation control method described in any of the above embodiments.

[0018] The present application provides an operation control method, device and medium for aerobic granular sludge. Compared with the prior art, the embodiments of the present application have the following beneficial technical effects:

[0019] The embodiment of the present application can accurately control the aerobic granular sludge automatic control system by utilizing the precise control of PID and PLC, and realizes automatic control of the operating load of aerobic granular sludge, automatic control of the optimal growth environment of aerobic granular sludge, automatic control of the aeration volume, i.e., oxygen demand, automatic control of the water intake, and automatic control of the sludge discharge volume of aerobic granular sludge, etc. At the same time, the operation control method of the aerobic granular sludge has strong stability, fast response speed, high activity, and can also improve energy-saving efficiency, and accurately control the air supply and water intake. It also provides the best dissolved oxygen environment for the growth of aerobic granular sludge, and facilitates the realization and integration of aerobic granular sludge. The aerobic granular sludge automatic control system is highly intelligent, can completely get rid of human factors, and greatly improves the economic benefits of aerobic granular sludge. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. In the drawings:

[0021] Figure 1 A flow chart of an aerobic granular sludge operation control method provided in an embodiment of the present application;

[0022] Figure 2 A schematic diagram of the structure of an aerobic granular sludge operation control device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0023] In order to enable those skilled in the art to better understand the technical solutions in this application, the technical solutions in the embodiments of this application will be clearly and completely described below in conjunction with the drawings in the embodiments of this application. Obviously, the described embodiments are only part of the embodiments of this application, not all of them. Based on the embodiments of this specification, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of this application.

[0024] It should be noted that the aerobic granular sludge automatic control system of the present application has the following functions:

[0025] 1. Automatic detection: Real-time detection of key parameters of aerobic granular sludge system; such as dissolved oxygen concentration, aerobic granular sludge content detected by particle size detector, water flow, COD (chemical oxygen demand) content, aeration flow, pH value, etc.

[0026] 2. Oxygen supply control: automatically adjust the required amount according to the set value, reference value and feedback value.

[0027] 3. Load control: Automatically adjust system load according to detection data to optimize processing effect.

[0028] 4. Flow control: Automatically adjust the amount of treated water according to the optimal operating load.

[0029] 5. When the system is abnormal or the load exceeds the set range, an early warning message will be automatically issued.

[0030] 6. Store historical data and form historical curves to facilitate analysis and optimization of system operation strategies.

[0031] At the same time, the aerobic granular sludge automatic control system of this application also has multiple modules:

[0032] 1) Detection module: Uses multiple types of high-precision sensors to monitor key parameters of the aerobic system in real time.

[0033] 2) Control module: Automatically adjust oxygen demand, system operating load, water treatment volume, etc. based on monitoring data and program calculations to ensure minimum energy consumption, most stable treatment effect, and maximum treatment capacity.

[0034] 3) Early warning module: It can set early warning thresholds. When the monitoring data exceeds the range, the early warning mechanism is automatically triggered and automatically adjusted according to the items that exceed the threshold.

[0035] 4) Data storage module: Use cloud storage technology to store historical data safely and efficiently.

[0036] The present application embodiment provides an operation control method for aerobic granular sludge, such as Figure 1 As shown, the operation control method of aerobic granular sludge specifically includes steps S101-S104:

[0037] S101. Use pre-deployed multiple types of sensors to monitor the sewage flow in the aerobic granular sludge automatic control system in real time to obtain key monitoring data. The multiple types of sensors may include: inlet flow meter, online COD detector, gas flow meter, online particle size detector, pH value detector, sludge concentration meter, etc.

[0038] Specifically, it is necessary to arrange an inlet flow meter at the water inlet of the sewage flow in the aerobic granular sludge automatic control system, collect the inlet flow data of the sewage flow through the inlet flow meter, and generate a corresponding inlet flow curve.

[0039] Furthermore, online COD detectors are arranged at the water inlet and outlet of the aerobic granular sludge automatic control system. The online COD detectors collect first COD content data at the water inlet and second COD content data at the water outlet, and generate corresponding inlet and outlet COD content curves.

[0040] Furthermore, a gas flow meter is arranged in the aerobic zone of the aerobic granular sludge automatic control system, and the gas flow data of the aerobic zone is collected through the gas flow meter, and a corresponding gas flow curve is generated.

[0041] Furthermore, an online particle size detector is arranged in the sewage flow of the aerobic granular sludge automatic control system, and the sludge particle size data of the aerobic granular sludge in the sewage flow is collected through the online particle size detector, and a corresponding sludge particle size curve is generated.

[0042] It should be noted that the particle size detector is used for real-time detection of aerobic granular sludge, which solves the problem that the content of aerobic granular sludge needs to be detected periodically in the laboratory using a photoelectric microscope. (There are two disadvantages of using a photoelectric microscope for detection: 1. Generally, the factory laboratory is not equipped with a photoelectric microscope and needs to be checked externally; 2. It is not real-time and the time interval is relatively long. If the external inspection time is longer, it will take longer.) After the particle size detector is used in the aerobic granular sludge automatic control system, the data is real-time detection data, which can accurately and quickly collect the sludge particle size data of aerobic granular sludge in the sewage flow.

[0043] Furthermore, a pH value detector is arranged at the water inlet of the aerobic granular sludge automatic control system, and the pH value data of the sewage flow at the water inlet is collected through the pH value detector, and the pH value data is generated accordingly.

[0044] Furthermore, a sludge concentration meter is arranged in the sewage flow of the aerobic granular sludge automatic control system, and aerobic sludge content data of the aerobic granular sludge is collected through the sludge concentration meter, and an aerobic sludge content curve is generated accordingly.

[0045] In one embodiment, the collected water inlet flow data, the first COD content data of the water inlet, the second COD content data of the water outlet, the gas flow data, the sludge particle size data, the pH value data and the aerobic sludge content data can be fed back to the PLC or DCS control system in the aerobic granular sludge automatic control system, and then corresponding curves are formed in the host computer to facilitate subsequent PID control and PLC automatic judgment, thereby feeding back parameter control data such as the optimal water inlet and the optimal gas supply.

[0046] S102. According to the aerobic sludge content data in the key monitoring data, the oxygen demand of the current sewage flow in the aerobic granular sludge automatic control system is calculated to obtain the oxygen demand target value.

[0047] Specifically, the aerobic sludge content data is first classified and processed using the sludge particle size curve corresponding to the current sewage flow rate to obtain flocculent sludge concentration data and granular sludge concentration data.

[0048] Furthermore, based on the tank capacity corresponding to the current sewage flow in the aerobic granular sludge automatic control system, the flocculent sludge concentration data and the granular sludge concentration data are used to calculate the absolute dry sludge to obtain the flocculent sludge absolute dry sludge volume data and the granular sludge absolute dry sludge volume data.

[0049] Furthermore, the absolute dry mud volume data of flocculent sludge and the absolute dry mud volume data of granular sludge are added together to obtain the absolute dry sludge total volume data.

[0050] Furthermore, according to the key points of multiple types of curves in the key monitoring data corresponding to the current sewage flow, and based on the total amount of absolute dry sludge data, the BOD food amount data and ammonia nitrogen content data are calculated.

[0051] Furthermore, based on the BOD food volume data and the ammonia nitrogen content data, the oxygen demand of the current sewage flow is calculated to obtain an oxygen demand target value, wherein the oxygen demand target value corresponds to the aerobic sludge content data in the current sewage flow.

[0052] In one embodiment, the concentration data of flocculent sludge and granular sludge are measured by a particle size detector. That is, a sludge content detection system is installed beside the aerobic granular sludge pool. The main equipment of the sludge content detection system is an online particle size detector. The content of granular sludge and flocculent sludge in the aerobic system is quickly analyzed by the online particle size detector. The total amount of sludge in the pool is calculated using the formula: absolute dry sludge of flocculent sludge = pool volume * flocculent sludge concentration divided by 99%; absolute dry sludge of granular sludge = pool volume * granular sludge concentration divided by 99%; total amount of absolute dry sludge = absolute dry sludge of granular sludge + absolute dry sludge of flocculent sludge;

[0053] Finally, based on the detected BOD and ammonia nitrogen content data in the influent water quality, the precise oxygen demand data corresponding to the aerobic sludge content data in the current sewage flow is calculated, that is, the oxygen demand target value.

[0054] S103, adjusting and controlling the PID related to the current dissolved oxygen concentration in the key monitoring data and the oxygen demand target value to obtain the optimal dissolved oxygen concentration.

[0055] Specifically, it is also necessary to determine the current dissolved oxygen concentration of the current sewage based on the inlet and outlet COD content curves in the key monitoring data.

[0056] Furthermore, the difference between the current dissolved oxygen concentration and the oxygen demand target value is calculated to obtain deviation data.

[0057] In one embodiment, the dissolved oxygen concentration in the current sewage flow is determined based on the inlet and outlet COD content curves in the monitored key monitoring data. The oxygen granular sludge automatic control system automatically adjusts the operating status of the oxygen supply fan and can automatically adjust the control parameters based on the deviation data between the real-time dissolved oxygen concentration and the target value to keep the dissolved oxygen within the required range of the target value.

[0058] As a feasible implementation method, the current dissolved oxygen concentration measured in real time is compared with the target value to obtain the deviation value (deviation data), and then the PID control algorithm is used to calculate the control output according to the deviation value; specific control instructions are generated according to the control output, such as adjusting the frequency of the oxygen supply fan inverter. The oxygen granular sludge automatic control system is connected to the oxygen supply fan inverter to realize automatic control of the equipment. The process is as follows: In the aerobic granular sludge operation system, the PID controller receives real-time data from the dissolved oxygen sensor, calculates the error between the current dissolved oxygen concentration and the set target value, and then applies the PID control algorithm to calculate the control output. This output is used to adjust the frequency input of the oxygen supply fan inverter, thereby changing the behavior of the system to achieve the purpose of controlling the dissolved oxygen concentration in the current sewage flow. That is, through the precise adjustment of the PID control algorithm, the stable control of the dissolved oxygen concentration in the sewage can be achieved, thereby improving the efficiency and quality of sewage treatment.

[0059] Furthermore, it is also necessary to adjust and control the deviation data through a preset PID control algorithm to obtain an adjustment control parameter. That is, through the proportional link of the PID control algorithm, the deviation data is determined as the current error data. And the current error data is subjected to a positive proportional adjustment of the product output control of the proportional coefficient to determine the first control parameter. Through the integral link of the PID control algorithm, the error integral accumulated by the deviation data is subjected to a steady-state error elimination process, and a second control parameter related to the product of the integral coefficient and the error integral is output. Through the differential link of the PID control algorithm, the error differential of the deviation data is subjected to an error trend prediction related to the time series change rate, and a third control parameter related to the product of the error differential and the differential coefficient is output.

[0060] Furthermore, the first control parameter, the second control parameter and the third control parameter are superimposed and output controlled to obtain an adjustment control parameter. Based on the adjustment control parameter, the frequency of the oxygen supply fan inverter is controlled to obtain an optimal dissolved oxygen concentration.

[0061] As a feasible implementation method, an advanced PID control algorithm is used to achieve precise control of the optimal dissolved oxygen concentration. The PID (Proportional-Integral-Derivative) control algorithm is an algorithm widely used in industrial process control. It adjusts the output of the system through three links: proportional, integral and differential to achieve the desired control target. In the oxygen granular sludge automatic control system, the PID control algorithm is used to automatically adjust the dissolved oxygen concentration.

[0062] In the proportional link, the system output is adjusted according to the size of the current error (the difference between the actual value and the target value). The larger the error, the faster the output is adjusted to quickly reduce the error. The output of the proportional link is the product of the error and the proportional coefficient.

[0063] In the integral link, the cumulative effect of the error is considered. It not only focuses on the current error, but also considers the sum of the errors over a period of time. The addition of the integral link can eliminate steady-state errors (that is, errors that exist for a long time and cannot be eliminated by the proportional link). The output of the integral link is the product of the error integral and the integral coefficient.

[0064] In the differential link, the future error change trend is predicted. It adjusts the system output according to the rate of change of the error over time to respond to possible error changes in advance. The output of the differential link is the product of the error differential and the differential coefficient.

[0065] Ultimately, the final output of the PID controller is the superposition of the outputs of the three links of proportion, integration and differentiation, that is, the first control parameter, the second control parameter and the third control parameter are superimposed on the output control, so that the frequency of the oxygen supply fan inverter can be controlled based on the adjustment of the control parameters to obtain the optimal dissolved oxygen concentration.

[0066] S104. Based on the optimal dissolved oxygen concentration, the operating load of the aerobic granular sludge is adjusted and controlled by PLC to obtain the optimal water-air control quantity data to complete the generation control of the optimal growth environment of the aerobic granular sludge.

[0067] It should be noted that the PLC control system can quickly calculate the food-micro ratio and the operating load of aerobic granular sludge based on the curve data feedback and formula calculation. The food-micro ratio calculated in real time is used as a reference value to form a curve. With the food-micro ratio as a reference, the operating load of aerobic granular sludge can be adjusted, and whether the operating aerobic granular sludge load is in the optimal state can also be detected; usually the appropriate range of the food-micro ratio is between 0.1-0.25kgBOD5 / kgMLSS.d. A high food-micro ratio indicates that there is an excess of microbial food and the aeration tank is in a high-load operating state. A low food-micro ratio indicates that the aeration tank is in a low-load operating state. After that, the calculated aerobic granular sludge load is used to form a historical curve, which can clearly feedback the actual operation of the aerobic granular sludge system.

[0068] Specifically, firstly, the food-microorganism ratio is calculated for the key monitoring data of the current sewage flow through the preset PLC control system to generate a food-microorganism ratio curve.

[0069] Furthermore, the operation load of aerobic granular sludge is calculated based on the key monitoring data of the current sewage flow to generate an operation load curve.

[0070] Furthermore, through the PLC control system, the gas flow curve, food-micro ratio curve and operating load curve in the key monitoring data are subjected to multi-point trend control to obtain the optimal operating load of the current sewage flow.

[0071] Furthermore, based on the optimal operating load and the optimal dissolved oxygen concentration, the water pump frequency and the fan frequency of the current sewage flow are feedback controlled to obtain optimal water intake control data and optimal air supply control data respectively.

[0072] Furthermore, the optimal water intake control data and the optimal air supply control data are fused to obtain the optimal water-air control data.

[0073] As a feasible implementation method, it is necessary to utilize the automatically generated operating load curve, food-micro ratio curve, and gas flow meter curve of aerobic granular sludge and automatically determine the optimal operating load and optimal growth environment of aerobic granular sludge by setting the PLC; and automatically adjust the operating load, water inflow (adjust the pump frequency), and air supply (adjust the fan frequency) according to the size of the water inflow. Then the above data is fed back and automatically analyzed by the PLC to calculate the operating load of the entire aerobic granular sludge, so as to obtain the optimal water inflow. And according to the optimal operating load and optimal dissolved oxygen concentration of aerobic granular sludge, the optimal air supply is calculated to control the operating frequency of the fan, and the optimal air supply control data is determined to keep the air supply in the optimal state, so as to achieve energy saving effect. Since the best growth environment is created for aerobic granular sludge, the aerobic granular sludge grows very fast. According to the compliance range of aerobic granular sludge, a regular sludge discharge system can be set to discharge the aerobic granular sludge, thereby improving economic benefits.

[0074] As a feasible implementation method, according to , get the operating load of aerobic granular sludge in the aerobic zone .in, The amount of water treated in the aerobic zone; The first COD content data of the water inlet in the aerobic zone; The second COD content data of the outlet in the aerobic zone; is the total volume of the aerobic zone; The average concentration of suspended solids in the mixed liquor in the aerobic zone. Based on the operating load, the operating load curve is generated through the host computer in the aerobic granular sludge automatic control system.

[0075] As a feasible implementation method, according to , get the food-micro ratio .in, The amount of water treated in the aerobic zone; The difference content data between the first COD content data of the water inlet in the aerobic zone and the second COD content data of the water outlet in the aerobic zone; Total volume of the aerobic zone; is the concentration of aerobic granular sludge; is the aerobic sludge content value in the aerobic sludge content data; The BOD food amount entering the aerobic granular sludge automatic control system. Based on the food-microbe ratio, the food-microbe ratio curve is generated through the host computer in the aerobic granular sludge automatic control system.

[0076] This application solves the data support required for full automatic control by adding influent COD, effluent COD, and particle size detectors. Adding an algorithm that meets the preset enterprise algorithm to the PLC or DCS control system program can quickly calculate the operating load of aerobic granular sludge. It can also automatically determine the optimal operating load and optimal growth environment of aerobic granular sludge based on the curve of the operating load of aerobic granular sludge, the gas flow meter curve, and the selection of the data judgment program. And it can automatically adjust the operating load, water intake (adjust the pump frequency), and air supply (adjust the fan frequency) according to the size of the influent volume. At the same time, the sensor instruments in this application are all real-time feedback for online instruments, and the calculation time of the formula calculation program set by PLC or DCS is 10-100 milliseconds, which is very fast; it does not take a lot of time for laboratory testing and manual calculations, which solves the time lag problem. Thus, through the precise control of aeration air volume and sludge load, energy consumption control is precise, and full automation can be achieved, getting rid of dependence on people.

[0077] In addition, the present application also provides an aerobic granular sludge operation control device, such as Figure 2 As shown, the aerobic granular sludge operation control device 200 specifically includes:

[0078] At least one processor 201. And a memory 202 in communication with the at least one processor 201. The memory 202 stores instructions that can be executed by the at least one processor 201, so that the at least one processor 201 can execute:

[0079] Through the pre-deployed multiple types of sensors, the sewage flow in the aerobic granular sludge automatic control system is monitored in real time to obtain key monitoring data;

[0080] According to the aerobic sludge content data in the key monitoring data, the oxygen demand of the current sewage flow in the aerobic granular sludge automatic control system is calculated to obtain the oxygen demand target value;

[0081] Adjust the PID control related to the current dissolved oxygen concentration in the key monitoring data and the oxygen demand target value to obtain the optimal dissolved oxygen concentration;

[0082] Based on the optimal dissolved oxygen concentration, the operating load of the aerobic granular sludge is adjusted and controlled by PLC to obtain the optimal water-air control volume data to complete the generation control of the optimal growth environment for the aerobic granular sludge.

[0083] The embodiment of the present application can accurately control the aerobic granular sludge automatic control system by utilizing the precise control of PID and PLC, and realizes automatic control of the operating load of aerobic granular sludge, automatic control of the optimal growth environment of aerobic granular sludge, automatic control of the aeration volume, i.e., oxygen demand, automatic control of the water intake, and automatic control of the sludge discharge volume of aerobic granular sludge, etc. At the same time, the operation control method of the aerobic granular sludge has strong stability, fast response speed, high activity, and can also improve energy-saving efficiency, and accurately control the air supply and water intake. It also provides the best dissolved oxygen environment for the growth of aerobic granular sludge, and facilitates the realization and integration of aerobic granular sludge. The aerobic granular sludge automatic control system is highly intelligent, can completely get rid of human factors, and greatly improves the economic benefits of aerobic granular sludge.

[0084] Each embodiment in this application is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device and non-volatile computer storage medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiments.

[0085] The devices and media provided in the embodiments of the present application correspond one-to-one to the methods. Therefore, the devices and media also have similar beneficial technical effects as the corresponding methods. Since the beneficial technical effects of the methods have been described in detail above, the beneficial technical effects of the devices and media will not be repeated here.

[0086] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0087] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0088] Memory may include non-permanent storage in a computer-readable medium, in the form of random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory is an example of a computer-readable medium.

[0089] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0090] The above describes specific embodiments of the present application. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0091] The above is only an embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the embodiments of the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the embodiments of the present application should be included in the scope of the claims of the present application.

Claims

1. An operation control method for aerobic granular sludge, characterized in that: The method comprises: Through the pre-deployed multiple types of sensors, the sewage flow in the aerobic granular sludge automatic control system is monitored in real time to obtain key monitoring data; According to the aerobic sludge content data in the key monitoring data, the oxygen demand of the current sewage flow in the aerobic granular sludge automatic control system is calculated to obtain the oxygen demand target value; Adjusting and controlling the PID related to the current dissolved oxygen concentration in the key monitoring data and the oxygen demand target value to obtain the optimal dissolved oxygen concentration; Based on the optimal dissolved oxygen concentration, the operating load of the aerobic granular sludge is adjusted and controlled by PLC to obtain the optimal water-air control quantity data to complete the generation control of the optimal growth environment of the aerobic granular sludge, specifically including: Through the preset PLC control system, the key monitoring data of the current sewage flow is used to calculate the food-micro ratio and generate a food-micro ratio curve; Calculating the operating load of aerobic granular sludge based on the key monitoring data of the current sewage flow to generate an operating load curve; Through the PLC control system, the gas flow curve, the food-micro ratio curve and the operating load curve in the key monitoring data are subjected to multi-point trend control to obtain the optimal operating load of the current sewage flow; Based on the optimal operating load and the optimal dissolved oxygen concentration, feedback control is performed on the water pump frequency and the fan frequency of the current sewage flow, respectively, to obtain optimal water intake control data and optimal air supply control data; The optimal water intake control data and the optimal air supply control data are merged to obtain the optimal water-air control amount data; in: according to The operating load L of aerobic granular sludge in the aerobic zone is obtained s ; Wherein, Q is the treated water volume of the aerobic zone; S0 is the first COD content data of the water inlet in the aerobic zone; S e is the second COD content data of the outlet in the aerobic zone; V0 is the total volume of the aerobic zone; X is the average concentration of suspended solids in the mixed liquid in the aerobic zone; Based on the operation load, the operation load curve is generated by a host computer in the aerobic granular sludge automatic control system; According to F / M=Q*COD / (MLVSS*V0), the food-microorganism ratio F / M is obtained; wherein Q is the treated water volume of the aerobic zone; COD is the difference content data between the first COD content data of the water inlet in the aerobic zone and the second COD content data of the water outlet in the aerobic zone; V0 is the total volume of the aerobic zone; MLVSS is the aerobic granular sludge concentration; M is the aerobic sludge content value in the aerobic sludge content data; F is the BOD food amount entering the aerobic granular sludge automatic control system; Based on the food-microorganism ratio, the food-microorganism ratio curve is generated by a host computer in the aerobic granular sludge automatic control system.

2. The operation control method of aerobic granular sludge according to claim 1, characterized in that: Through the pre-deployed multiple types of sensors, the sewage flow in the aerobic granular sludge automatic control system is monitored in real time to obtain key monitoring data, including: Arranging a water inlet flow meter at the water inlet of the sewage flow in the aerobic granular sludge automatic control system, collecting the water inlet flow data of the sewage flow through the water inlet flow meter, and generating a corresponding water inlet flow curve; An online COD detector is arranged at the water inlet and the water outlet of the aerobic granular sludge automatic control system, and the first COD content data of the water inlet and the second COD content data of the water outlet are collected by the online COD detector, and corresponding inlet and outlet COD content curves are generated; A gas flow meter is arranged in the aerobic zone of the aerobic granular sludge automatic control system, and the gas flow data of the aerobic zone is collected through the gas flow meter, and a gas flow curve is generated accordingly; An online particle size detector is arranged in the sewage flow of the aerobic granular sludge automatic control system, and the sludge particle size data of the aerobic granular sludge in the sewage flow is collected by the online particle size detector, and a sludge particle size curve is generated accordingly; A pH value detector is arranged at the water inlet of the aerobic granular sludge automatic control system, and pH value data of the sewage flow at the water inlet is collected through the pH value detector, and pH value data is generated accordingly; A sludge concentration meter is arranged in the sewage flow of the aerobic granular sludge automatic control system, and aerobic sludge content data of the aerobic granular sludge is collected through the sludge concentration meter, and an aerobic sludge content curve is generated accordingly.

3. The operation control method of aerobic granular sludge according to claim 1, characterized in that: According to the aerobic sludge content data in the key monitoring data, the oxygen demand of the current sewage flow in the aerobic granular sludge automatic control system is calculated to obtain the oxygen demand target value, which specifically includes: According to the sludge particle size curve corresponding to the current sewage flow, the aerobic sludge content data is classified and processed to obtain flocculent sludge concentration data and granular sludge concentration data; Based on the tank capacity corresponding to the current sewage flow in the aerobic granular sludge automatic control system, the flocculent sludge concentration data and the granular sludge concentration data are subjected to absolute dry sludge calculation to obtain absolute dry sludge volume data of flocculent sludge and absolute dry sludge volume data of granular sludge; Adding the flocculent sludge absolute dry mud volume data and the granular sludge absolute dry mud volume data to obtain the absolute dry sludge total volume data; According to the key points of multiple types of curves in the key monitoring data corresponding to the current sewage flow, and based on the total amount of absolute dry sludge data, the BOD food amount data and the ammonia nitrogen content data are calculated; Based on the BOD food volume data and the ammonia nitrogen content data, the oxygen demand of the current sewage flow is calculated to obtain an oxygen demand target value; wherein the oxygen demand target value corresponds to the aerobic sludge content data in the current sewage flow.

4. The operation control method of aerobic granular sludge according to claim 1, characterized in that: The current dissolved oxygen concentration in the key monitoring data is adjusted and controlled by the PID related to the oxygen demand target value to obtain the optimal dissolved oxygen concentration, specifically including: Determine the current dissolved oxygen concentration of the current sewage according to the inlet and outlet COD content curves in the key monitoring data; Calculate the difference between the current dissolved oxygen concentration and the oxygen demand target value to obtain deviation data; The deviation data is adjusted and controlled by a preset PID control algorithm to obtain an adjustment control parameter; and based on the adjustment control parameter, the frequency of the oxygen supply fan inverter is controlled to obtain the optimal dissolved oxygen concentration.

5. The operation control method of aerobic granular sludge according to claim 4, characterized in that: The deviation data is adjusted and controlled by a preset PID control algorithm to obtain adjustment control parameters, which specifically include: The deviation data is determined as current error data through the proportional link of the PID control algorithm; and the current error data is subjected to a direct proportional adjustment of the product output control of the proportional coefficient to determine the first control parameter; Through the integral link of the PID control algorithm, the error integral accumulated by the deviation data is subjected to steady-state error elimination processing, and a second control parameter related to the product of the integral coefficient and the error integral is output; Through the differential link of the PID control algorithm, the error differential of the deviation data is used to predict the error trend of the time series change rate, and a third control parameter related to the product of the error differential and the differential coefficient is output; The first control parameter, the second control parameter and the third control parameter are superimposed and output controlled to obtain the adjustment control parameter.

6. An aerobic granular sludge operation control device, characterized in that: The device comprises: at least one processor; and, a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, so that the at least one processor can execute the operation control method of aerobic granular sludge according to any one of claims 1-5.

7. A non-volatile computer storage medium, characterized in that: The storage medium is a non-volatile computer-readable storage medium, and the non-volatile computer-readable storage medium stores at least one program, each of which includes instructions, and when the instructions are executed by the terminal, the terminal executes the operation control method of aerobic granular sludge according to any one of claims 1-5.

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