A dissolved oxygen control method, device and medium for aerobic granular sludge system

Abstract

The present invention discloses a dissolved oxygen control method, equipment and medium for an aerobic granular sludge system, which belongs to the technical field of aerobic granular sludge systems and is used to solve the technical problem that there are errors in the detection of dissolved oxygen values ​​in existing aerobic granular sludge systems, the fan is generally controlled manually, and it is difficult to accurately adjust the air outlet frequency of the fan according to the real-time dissolved oxygen value. The method includes: collecting sludge content data contained in a water pool in the aerobic granular sludge system through a preset particle size detector; performing predictive calculations on the sludge content data regarding the sludge oxygen demand to obtain target oxygen demand data for the water pool; performing parameter control processing on the fan frequency corresponding to the current dissolved oxygen concentration data according to the target oxygen demand data, and outputting optimized frequency data of the fan frequency; and feeding back the optimized frequency data to the fan control system so that the fan control system optimizes and adjusts the fan frequency.

Description

Technical Field

[0001] The present application relates to the field of aerobic granular sludge systems, and in particular to a dissolved oxygen control method, equipment and medium for an aerobic granular sludge system. Background Art

[0002] The dissolved oxygen control in the existing aerobic granular sludge system is to manually control the frequency of the supply fan to increase or decrease the oxygen supply according to the value measured by the dissolved oxygen meter. In other words, the existing aerobic granular sludge oxygen supply system relies on the feedback of the dissolved oxygen meter to manually control the frequency of the fan inverter to control the air supply.

[0003] In market applications, the dissolved oxygen content varies greatly due to the different locations of the dissolved oxygen detector in the pool, and the dissolved oxygen meter can only be installed in one location, so it is inappropriate to only use the value of the dissolved oxygen meter to adjust the fan air supply. Summary of the invention

[0004] The embodiments of the present application provide a dissolved oxygen control method, equipment and medium for an aerobic granular sludge system, which are used to solve the following technical problems: There are errors in the detection of dissolved oxygen values ​​in existing aerobic granular sludge systems, and the fans are generally controlled manually, making it difficult to accurately adjust the fan's air frequency according to the real-time dissolved oxygen value.

[0005] The present application embodiment adopts the following technical solutions:

[0006] On the one hand, an embodiment of the present application provides a dissolved oxygen control method for an aerobic granular sludge system, comprising: collecting sludge content data contained in a water pool in the aerobic granular sludge system through a preset particle size detector; performing predictive calculations on the sludge content data regarding the sludge oxygen demand to obtain target oxygen demand data for the water pool; performing parameter control processing on the fan frequency corresponding to the current dissolved oxygen concentration data according to the target oxygen demand data, and outputting optimized frequency data of the fan frequency; and feeding back the optimized frequency data to a fan control system so that the fan control system optimizes and adjusts the fan frequency.

[0007] The embodiment of the present application can more accurately determine the target oxygen demand of the water pool by collecting sludge content data and performing oxygen demand prediction calculation. It is possible to achieve precise control of dissolved oxygen concentration and ensure that the aerobic granular sludge system operates under suitable oxygen conditions. Optimizing the fan frequency can avoid excessive aeration or insufficient aeration. Appropriate dissolved oxygen concentration helps to improve the metabolic activity of aerobic granular sludge, promote the degradation and removal of organic matter, and thus improve the treatment efficiency of the system. The fan frequency can also be adjusted according to the actual oxygen demand, avoiding unnecessary high-frequency operation and reducing energy consumption. It can also keep the dissolved oxygen within a suitable range, reduce system fluctuations, and improve the stability and reliability of the system. It can better adapt to changes and needs of the system and improve the flexibility and adaptability of the control strategy. It greatly reduces manual intervention, improves the accuracy and timeliness of control, and reduces operating costs and the risk of human errors.

[0008] In a feasible implementation, the sludge content data contained in the water pool in the aerobic granular sludge system is collected through a preset particle size detector, specifically including: based on the particle size detector pre-installed in the water pool, sludge detection is performed on the current sewage content to obtain real-time sludge water quality data; the sludge water quality data is filtered, and the sludge particle size in the filtered sludge water quality data is calibrated according to the preset sludge particle size reference standard data to obtain real-time sludge data; the real-time sludge data is classified and identified with respect to the granular sludge particle size and the flocculent sludge particle size through the particle size detector, and the granular sludge concentration corresponding to the granular sludge particle size and the flocculent sludge concentration corresponding to the flocculent sludge particle size are calculated; the granular sludge concentration and the flocculent sludge concentration are combined and stored to obtain the sludge content data.

[0009] In a feasible implementation manner, the sludge content data is used to perform a predictive calculation on the sludge oxygen demand to obtain the target oxygen demand data of the water pool, specifically including: multiplying the flocculent sludge concentration in the sludge content data by the pool capacity value of the water pool, and combining it with the first percentage reference data to obtain the flocculent sludge absolute dry mud content; multiplying the granular sludge concentration in the sludge content data by the pool capacity value, and combining it with the second percentage reference data to obtain the granular sludge absolute dry mud content; adding the flocculent sludge absolute dry mud content and the granular sludge absolute dry content. The total amount of absolutely dry sludge is obtained; through the aerobic granular sludge system, data analysis on the BOD food content and the ammonia nitrogen mixture content of the total amount of absolutely dry sludge is performed to obtain the BOD food content data and the ammonia nitrogen mixture content data in the water pool; the actual oxygen demand is calculated for the BOD food content data to obtain the first oxygen demand data; the actual oxygen demand is calculated for the ammonia nitrogen mixture content data to obtain the second oxygen demand data; the first oxygen demand data and the second oxygen demand data are added together to obtain the target oxygen demand data required for the current sewage content.

[0010] In a feasible implementation manner, according to the target oxygen demand data, the fan frequency corresponding to the current dissolved oxygen concentration data is subjected to parameter control processing, and the optimized frequency data of the fan frequency is output, which specifically includes: determining the first fan frequency controlled in the aerobic granular sludge system based on the current dissolved oxygen concentration data; determining the actual air supply required for the current sewage content based on the target oxygen demand data, and determining the second fan frequency based on the actual air supply; performing difference calculation between the target oxygen demand data and the current dissolved oxygen concentration data to obtain difference concentration data; and determining the actual difference air supply in the current sewage content based on the difference concentration data; obtaining a third fan frequency based on the actual difference air supply; wherein the third fan frequency is an increase / decrease complementary frequency parameter of the fan; adjusting and controlling the control parameters of the first fan frequency through the control parameters corresponding to the third fan frequency, so that the third fan frequency is optimized to the first fan frequency, and generating the optimized frequency data, and feeding the optimized frequency data back to the aerobic granular sludge system.

[0011] In a feasible implementation manner, a third fan frequency is obtained according to the actual differential air supply volume; wherein the third fan frequency is an increase / decrease complementary frequency parameter of the fan, specifically comprising: performing an error adjustment calculation based on a proportional link on the actual differential air supply volume through a preset PID control algorithm to obtain a first output parameter; performing an error accumulation calculation based on an integral link on the actual differential air supply volume to obtain a second output parameter; performing an error change trend calculation based on a differential link on the actual differential air supply volume to obtain a third output parameter; and performing input control on the fan inverter based on the first output parameter, the second output parameter and the third output parameter to output the third fan frequency.

[0012] In a feasible implementation, the optimized frequency data is fed back to the fan control system so that the fan control system optimizes and adjusts the fan frequency, specifically including: through the aerobic granular sludge system, the optimized frequency data is fed back to the fan control system; through the fan control system, and based on the control parameters corresponding to the optimized frequency data, the current operating state of the fan inverter is closed-loop controlled to obtain the optimal fan frequency data; based on the fan oxygen supply frequency adjusted by the optimal fan frequency data, the optimized adjustment of the fan frequency is completed.

[0013] In a feasible implementation manner, after performing a predictive calculation on the sludge oxygen demand of the sludge content data to obtain the target oxygen demand data of the water pool, the method further includes: if the absolute value of the oxygen demand in the target oxygen demand data is greater than a first preset threshold value, determining the target oxygen demand data as danger warning data; feeding back the danger warning data to the aerobic granular sludge system, and issuing an alarm message through the aerobic granular sludge system; wherein the alarm message includes at least: a sound prompt alarm, a system prompt alarm, and a text message prompt alarm.

[0014] In a feasible implementation manner, the target oxygen demand data, the current dissolved oxygen concentration data and the fan frequency are visualized on a large screen so that the staff can complete the real-time monitoring of various data parameters in the aerobic granular sludge system.

[0015] In the second aspect, an embodiment of the present application also provides a dissolved oxygen control device for an aerobic granular sludge system, 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 a dissolved oxygen control method for an aerobic granular sludge system as described in any of the above embodiments.

[0016] In a third aspect, an embodiment of the present application further 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 a dissolved oxygen control method for an aerobic granular sludge system described in any of the above embodiments.

[0017] The present application provides a method, device and medium for controlling dissolved oxygen in an aerobic granular sludge system. Compared with the prior art, the embodiments of the present application have the following beneficial technical effects:

[0018] 1. Accurately control dissolved oxygen: By collecting sludge content data and performing oxygen demand prediction calculations, the target oxygen demand of the pool can be determined more accurately. Adjusting the fan frequency according to the target oxygen demand can achieve accurate control of the dissolved oxygen concentration and ensure that the aerobic granular sludge system operates under appropriate oxygen conditions.

[0019] 2. Improve system efficiency: Optimizing fan frequency can avoid over-aeration or under-aeration. Appropriate dissolved oxygen concentration helps to increase the metabolic activity of aerobic granular sludge, promote the degradation and removal of organic matter, and thus improve the treatment efficiency of the system.

[0020] 3. Energy saving and emission reduction: Accurate control of dissolved oxygen can reduce the energy consumption of the fan. Adjusting the fan frequency according to the actual oxygen demand avoids unnecessary high-frequency operation and reduces energy consumption.

[0021] 4. Improve system stability: Stable dissolved oxygen concentration is essential for the stable operation of aerobic granular sludge system. By real-time monitoring and adjusting the fan frequency, the dissolved oxygen can be kept within the appropriate range, reducing system fluctuations and improving system stability and reliability.

[0022] 5. Data-driven decision-making: Calculation and control are performed based on the data collected by the preset particle size detector, realizing a data-driven decision-making process. It can better adapt to system changes and needs and improve the flexibility and adaptability of the control strategy.

[0023] 6. Automated control: reduces human intervention, improves the accuracy and timeliness of control, and reduces operating costs and the risk of human errors. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] 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:

[0025] Figure 1 A flow chart of a dissolved oxygen control method for an aerobic granular sludge system provided in an embodiment of the present application;

[0026] Figure 2 A schematic diagram of the structure of a dissolved oxygen control device for an aerobic granular sludge system provided in an embodiment of the present application. DETAILED DESCRIPTION

[0027] 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.

[0028] The present application embodiment provides a method for controlling dissolved oxygen in an aerobic granular sludge system. Figure 1 As shown, the dissolved oxygen control method of the aerobic granular sludge system specifically includes steps S101-S104:

[0029] S101. Collect sludge content data contained in a water pool in an aerobic granular sludge system through a preset particle size detector.

[0030] Specifically, it is necessary to first use a particle size detector pre-installed in the water pool to perform sludge detection on the current sewage content to obtain real-time sludge water quality data.

[0031] Furthermore, the sludge water quality data must be filtered, and the sludge particle size in the filtered sludge water quality data must be calibrated according to preset sludge particle size reference standard data to obtain real-time sludge data.

[0032] Furthermore, the particle size detector is used to classify and identify the particle size of granular sludge and the particle size of flocculent sludge in real-time sludge data, and the granular sludge concentration corresponding to the particle size of granular sludge and the flocculent sludge concentration corresponding to the particle size of flocculent sludge are calculated.

[0033] Furthermore, the granular sludge concentration and the flocculent sludge concentration data are combined and stored to obtain the sludge content data.

[0034] As a feasible implementation method, a particle size detector is installed next to the water pool of the aerobic granular sludge system. The main equipment of the sludge content detection system is an online particle size detector. The online particle size detector can quickly analyze the granular sludge content and flocculent sludge content in the aerobic system, and then calculate the total sludge amount in the water pool, that is, the sludge content data.

[0035] S102, performing a forecast calculation on the sludge oxygen demand based on the sludge content data to obtain target oxygen demand data for the water tank.

[0036] Specifically, it is necessary to utilize an aerobic granular sludge system, multiply the flocculent sludge concentration in the sludge content data by the pool capacity value of the water pool, and combine it with the first percentage reference data to obtain the flocculent sludge absolute dry mud content.

[0037] Furthermore, the granular sludge concentration in the sludge content data is multiplied by the tank capacity value, and combined with the second percentage reference data, to obtain the granular sludge absolute dry mud content.

[0038] In one embodiment, the pool capacity value of the water pool is used to calculate the absolute dry mud content of the flocculent sludge concentration and the granular sludge concentration in the sludge content data. The corresponding percentage reference data is different according to the different sludge types. After multiplying the pool capacity and the concentration, and then dividing by the different percentage reference data corresponding to the different sludge concentrations (flocculent sludge concentration and granular sludge concentration), the final flocculent sludge absolute dry mud content and the granular sludge absolute dry mud content can be obtained.

[0039] Furthermore, the absolute dry sludge content of the flocculent sludge and the absolute dry content of the granular sludge are added together to obtain the total amount of absolute dry sludge.

[0040] Furthermore, the aerobic granular sludge system is used to analyze the data on the BOD food content and the ammonia nitrogen mixture content of the total amount of absolute dry sludge, and the BOD food content data and the ammonia nitrogen mixture content data in the pool are obtained.

[0041] Furthermore, the actual oxygen demand is calculated for the BOD food content data to obtain the first oxygen demand data. The actual oxygen demand is calculated for the ammonia nitrogen mixture content data to obtain the second oxygen demand data. The first oxygen demand data and the second oxygen demand data are added together to obtain the target oxygen demand data required for the current sewage content.

[0042] As a feasible implementation method, after the sludge content data is used to predict and calculate the sludge oxygen demand to obtain the target oxygen demand data of the water pool, if the absolute value of the oxygen demand in the target oxygen demand data is greater than the first preset threshold, the target oxygen demand data is determined as dangerous warning data, the dangerous warning data is fed back to the aerobic granular sludge system, and an alarm message is issued through the aerobic granular sludge system. The alarm message includes at least: sound prompt alarm, system prompt alarm and SMS prompt alarm.

[0043] S103. According to the target oxygen demand data, the fan frequency corresponding to the current dissolved oxygen concentration data is subjected to parameter control processing, and optimized frequency data of the fan frequency is output.

[0044] Specifically, it is also necessary to determine the first fan frequency controlled in the aerobic granular sludge system based on the current dissolved oxygen concentration data.

[0045] Furthermore, based on the target oxygen demand data, the actual air supply volume required for the current sewage content is determined, and according to the actual air supply volume, the second fan frequency is determined.

[0046] Furthermore, the target oxygen demand data and the current dissolved oxygen concentration data are subjected to difference calculation to obtain difference concentration data, and based on the difference concentration data, the actual difference air supply volume in the current sewage content is determined.

[0047] Furthermore, a third fan frequency is obtained according to the actual difference air supply volume, wherein the third fan frequency is an increase-decrease complementary frequency parameter of the fan.

[0048] As a feasible implementation method, a preset PID control algorithm is used to perform an error adjustment calculation based on a proportional link on the actual differential air supply volume to obtain a first output parameter. An error accumulation calculation based on an integral link is performed on the actual differential air supply volume to obtain a second output parameter. An error change trend calculation based on a differential link is performed on the actual differential air supply volume to obtain a third output parameter. Based on the first output parameter, the second output parameter, and the third output parameter, an input control is performed on the fan inverter to output a third fan frequency.

[0049] Furthermore, the control parameters of the first fan frequency are adjusted and controlled by the control parameters corresponding to the third fan frequency, so that the third fan frequency is optimized to the first fan frequency, and optimized frequency data is generated, and the optimized frequency data is fed back to the aerobic granular sludge system.

[0050] In one embodiment, the aerobic granular sludge system is connected to the oxygen supply fan inverter to realize automatic control of the equipment. 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, obtains the difference concentration data, and then applies the PID control algorithm to perform error PID control on the actual difference air supply volume, and combines the first output parameter, the second output parameter and the third output parameter to finally output the optimized frequency data of the oxygen supply fan. The frequency input of the oxygen supply fan inverter is adjusted using the optimized frequency data, thereby changing the behavior of the system to achieve the purpose of controlling the dissolved oxygen concentration. Through the precise adjustment of the PID control algorithm, the aerobic system for sewage treatment can achieve stable control of the dissolved oxygen concentration, thereby improving the efficiency and quality of sewage treatment.

[0051] S104, feeding back the optimized frequency data to the fan control system, so that the fan control system can optimize and adjust the fan frequency.

[0052] Specifically, the optimized frequency data must be fed back to the fan control system through the aerobic granular sludge system. Through the fan control system, and based on the control parameters corresponding to the optimized frequency data, the current operating state of the fan inverter is closed-loop controlled to obtain the optimal fan frequency data.

[0053] Furthermore, based on the fan oxygen supply frequency adjusted by the optimal fan frequency data, the fan frequency is optimized and adjusted.

[0054] As a feasible implementation method, the target oxygen demand data, current dissolved oxygen concentration data and fan frequency can also be visualized on a large screen to enable staff to complete real-time monitoring of various data parameters in the aerobic granular sludge system.

[0055] In one embodiment, an intuitive operation interface is provided to facilitate users to view real-time data, historical records and set parameters, such as: target oxygen demand data monitored or calculated for the current sewage, current dissolved oxygen concentration data and fan frequency.

[0056] In addition, the present application also provides a dissolved oxygen control device for an aerobic granular sludge system, such as Figure 2 As shown, the dissolved oxygen control device 200 of the aerobic granular sludge system specifically includes:

[0057] 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:

[0058] The sludge content data contained in the water pool in the aerobic granular sludge system is collected through the preset particle size detector;

[0059] The sludge content data is used to predict the sludge oxygen demand and obtain the target oxygen demand data of the water tank;

[0060] According to the target oxygen demand data, the fan frequency corresponding to the current dissolved oxygen concentration data is subjected to parameter control processing, and the optimized frequency data of the fan frequency is output;

[0061] The optimized frequency data is fed back to the fan control system so that the fan control system can optimize and adjust the fan frequency.

[0062] The embodiment of the present application can more accurately determine the target oxygen demand of the water pool by collecting sludge content data and performing oxygen demand prediction calculation. It is possible to achieve precise control of dissolved oxygen concentration and ensure that the aerobic granular sludge system operates under suitable oxygen conditions. Optimizing the fan frequency can avoid excessive aeration or insufficient aeration. Appropriate dissolved oxygen concentration helps to improve the metabolic activity of aerobic granular sludge, promote the degradation and removal of organic matter, and thus improve the treatment efficiency of the system. The fan frequency can also be adjusted according to the actual oxygen demand, avoiding unnecessary high-frequency operation and reducing energy consumption. It can also keep the dissolved oxygen within a suitable range, reduce system fluctuations, and improve the stability and reliability of the system. It can better adapt to changes and needs of the system and improve the flexibility and adaptability of the control strategy. It greatly reduces manual intervention, improves the accuracy and timeliness of control, and reduces operating costs and the risk of human errors.

[0063] 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 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.

[0064] 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.

[0065] 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.

[0066] 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.

[0067] These computer program instructions may also be stored in a computer readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0068] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process in the computer or other programmable device. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0069] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0070] 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.

[0071] 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.

[0072] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0073] The above is only the embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the protection scope of the present application.

Claims

1. A method for controlling dissolved oxygen in an aerobic granular sludge system, characterized in that: The method comprises: The sludge content data contained in the water pool in the aerobic granular sludge system is collected through the preset particle size detector; The sludge content data is used to perform a prediction calculation on the sludge oxygen demand to obtain the target oxygen demand data of the water pool, specifically including: The flocculent sludge concentration in the sludge content data is multiplied by the pool capacity value of the water pool, and combined with the first percentage reference data, to obtain the flocculent sludge absolute dry mud content; The granular sludge concentration in the sludge content data is multiplied by the tank capacity value, and combined with the second percentage reference data to obtain the granular sludge absolute dry mud content; The absolute dry sludge content of the flocculent sludge and the absolute dry sludge content of the granular sludge are added together to obtain the total amount of absolute dry sludge; By using the aerobic granular sludge system, the total amount of absolute dry sludge is subjected to data analysis on the BOD food content and the ammonia nitrogen mixture content, so as to obtain the BOD food content data and the ammonia nitrogen mixture content data in the water pool; Performing actual oxygen demand calculation on the BOD food content data to obtain first oxygen demand data; Performing actual oxygen demand calculation on the ammonia nitrogen mixture content data to obtain second oxygen demand data; Adding the first oxygen demand data and the second oxygen demand data to obtain the target oxygen demand data required for the current sewage content; According to the target oxygen demand data, the fan frequency corresponding to the current dissolved oxygen concentration data is subjected to parameter control processing, and the optimized frequency data of the fan frequency is output, specifically including: Based on the current dissolved oxygen concentration data, determining a first fan frequency controlled in the aerobic granular sludge system; Based on the target oxygen demand data, determining the actual air supply required for the current sewage content, and determining the second fan frequency according to the actual air supply; Calculating the difference between the target oxygen demand data and the current dissolved oxygen concentration data to obtain differential concentration data; and determining the actual differential air supply volume in the current sewage content based on the differential concentration data; According to the actual difference air supply volume, a third fan frequency is obtained; wherein the third fan frequency is an increase-decrease complementary frequency parameter of the fan; By means of the control parameters corresponding to the third fan frequency, the control parameters of the first fan frequency are adjusted and controlled so that the third fan frequency is optimized to the first fan frequency, and the optimized frequency data is generated, and the optimized frequency data is fed back to the aerobic granular sludge system; The optimized frequency data is fed back to the fan control system so that the fan control system can optimize and adjust the fan frequency.

2. The dissolved oxygen control method of an aerobic granular sludge system according to claim 1, characterized in that: The preset particle size detector is used to collect the sludge content data contained in the water pool in the aerobic granular sludge system, including: Based on the particle size detector pre-installed in the water pool, sludge detection is performed on the current sewage content to obtain real-time sludge water quality data; The sludge water quality data is filtered, and the sludge particle size in the filtered sludge water quality data is calibrated according to the preset sludge particle size reference standard data to obtain real-time sludge data; The particle size detector is used to classify and identify the particle size of granular sludge and the particle size of flocculent sludge in the real-time sludge data, and the granular sludge concentration corresponding to the particle size of granular sludge and the flocculent sludge concentration corresponding to the particle size of flocculent sludge are calculated; The granular sludge concentration and the flocculent sludge concentration are combined and stored to obtain the sludge content data.

3. The dissolved oxygen control method of an aerobic granular sludge system according to claim 2, characterized in that: A third fan frequency is obtained according to the actual difference air supply volume; wherein the third fan frequency is an increase-decrease complementary frequency parameter of the fan, specifically including: By using a preset PID control algorithm, an error adjustment calculation based on a proportional link is performed on the actual difference air supply volume to obtain a first output parameter; Performing an error accumulation calculation based on an integral link on the actual difference air supply volume to obtain a second output parameter; Calculating the error change trend of the actual difference air supply volume based on the differential link to obtain a third output parameter; Based on the first output parameter, the second output parameter and the third output parameter, input control is performed on the fan inverter to output the third fan frequency.

4. The dissolved oxygen control method of an aerobic granular sludge system according to claim 1, characterized in that: Feeding back the optimized frequency data to the fan control system so that the fan control system optimizes and adjusts the fan frequency specifically includes: Feeding back the optimized frequency data to the fan control system through the aerobic granular sludge system; By means of the fan control system and based on the control parameters corresponding to the optimized frequency data, a closed-loop control is performed on the current operating state of the fan inverter to obtain the optimal fan frequency data; Based on the fan oxygen supply frequency adjusted by the optimal fan frequency data, the fan frequency is optimized and adjusted.

5. The method for controlling dissolved oxygen in an aerobic granular sludge system according to claim 1, characterized in that: After the sludge content data is subjected to a prediction calculation on the sludge oxygen demand to obtain the target oxygen demand data of the water tank, the method further comprises: If the absolute value of the oxygen demand in the target oxygen demand data is greater than a first preset threshold, determining the target oxygen demand data as danger warning data; The danger warning data is fed back to the aerobic granular sludge system, and an alarm message is sent out through the aerobic granular sludge system; wherein the alarm message at least includes: a sound prompt alarm, a system prompt alarm and a text message prompt alarm.

6. The method for controlling dissolved oxygen in an aerobic granular sludge system according to claim 1, characterized in that: The target oxygen demand data, the current dissolved oxygen concentration data and the fan frequency are visualized on a large screen so that the staff can complete the real-time monitoring of various data parameters in the aerobic granular sludge system.

7. A dissolved oxygen control device for an aerobic granular sludge system, 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 dissolved oxygen control method for an aerobic granular sludge system according to any one of claims 1-6.

8. 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 dissolved oxygen control method for an aerobic granular sludge system according to any one of claims 1-6.

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