MBBR-based rainwater recycling process suspended filler flow monitoring system

Abstract

The present invention relates to the field of rainwater regeneration and discloses a suspended filler flow state monitoring system for a rainwater regeneration process based on MBBR, comprising: a pretreatment unit including a grid and an aerated grit chamber; a biochemical treatment unit including a two-stage A / O tank and a secondary sedimentation tank; a deep treatment unit including a high-density sedimentation tank and a rotary filter; a sludge treatment unit including a sludge concentration tank, a sludge homogenization tank, and a sludge dewatering room; suspended fillers are provided in the two-stage A / O tanks, and a suspended filler flow state monitoring module is also provided in the two-stage A / O tanks for real-time monitoring and control of the flow state of the suspended fillers. Through the synergistic effect of the pretreatment unit, the biochemical treatment unit, the deep treatment unit, and the sludge treatment unit, effective treatment and recycling of rainwater are achieved, and the flow state of the suspended fillers in the two-stage A / O tanks can be monitored and controlled in real time to prevent the accumulation of suspended fillers.

Description

Technical Field

[0001] The present invention relates to the field of rainwater regeneration, and in particular to a suspended filler flow state monitoring system for a rainwater regeneration process based on MBBR. Background Art

[0002] For water-scarce cities, rainwater collection and recycling is a key measure to address water shortages. Recycled water can be used for agricultural irrigation, industrial use, urban landscape water use, wetland restoration, water body replenishment and other environmental remediation purposes, vehicle washing, road cleaning, urban landscaping and toilet flushing, and groundwater recharge. Rainwater recycling conserves water from conventional sources and provides a crucial guarantee for maintaining freshwater reserves. Compared with long-distance water diversion projects, rainwater recycling is less expensive and reduces ecosystem damage, thus resolving the water supply and demand imbalance in urban development.

[0003] Many cities have established rainwater storage systems, some of which are equipped with rainwater recycling systems. Rainwater recycling systems generally include the following units: pretreatment unit, biological treatment unit, and deep treatment unit.

[0004] The biological treatment unit in a rainwater recycling system is a key link in removing pollutants. The moving bed biofilm reactor (MBBR) performs excellently in treating low-pollutant water such as rainwater. Suspended filler is the core of the MBBR process. However, in actual engineering applications, suspended filler accumulation often occurs, seriously affecting its ability to remove pollutants from rainwater. Summary of the Invention

[0005] The purpose of the present invention is to provide a suspended filler flow monitoring system for a rainwater recycling process based on MBBR to solve the above technical problems.

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] The suspended filler flow monitoring system for MBBR-based rainwater recycling process includes:

[0008] Pretreatment unit, including screen and aeration grit chamber;

[0009] Biochemical treatment unit, including two-stage A / O tanks and secondary sedimentation tanks;

[0010] Deep treatment units, including high-density sedimentation tanks and rotary disc filters;

[0011] Sludge treatment unit, including sludge thickening tank, sludge homogenization tank and sludge dewatering room;

[0012] Suspended fillers are provided in the two-stage A / O pools, and a suspended filler flow state monitoring module is also provided in the two-stage A / O pools for real-time monitoring and regulating the flow state of the suspended fillers.

[0013] The suspended filler flow state monitoring module includes:

[0014] The partition unit is used to divide the two-stage A / O tank into several areas, each of which is equipped with an aeration module;

[0015] A data acquisition unit is provided with a suspended filler flow pattern recognition device to collect suspended filler flow pattern image data of each area in real time, and collects water quality data based on the water quality online monitoring instrument;

[0016] A data processing unit is used to pre-process the collected suspended filler flow image data and water quality data, i.e., clean, correct, standardize and store the data, and obtain the suspended filler flow image and water quality data in standard formats respectively;

[0017] The data analysis unit compares the suspended filler flow pattern image in the standard format with the reference suspended filler image to obtain the suspended filler flow pattern abnormality coefficient; and compares the water quality data with the reference water quality data to obtain the water quality abnormality coefficient;

[0018] Comprehensively analyze the abnormal flow coefficient of suspended filler and the abnormal water quality coefficient to determine whether there is accumulation of suspended filler in the two-stage A / O tank;

[0019] The suspended filler accumulation warning unit will immediately send a warning signal to the two-stage A / O pool if it determines that there is suspended filler accumulation. Otherwise, the two-stage A / O pool will maintain normal operation;

[0020] The suspended filler flow control unit is used to receive early warning signals and adjust the aeration volume of the aeration module in each area.

[0021] The process of obtaining the abnormal coefficient of suspended filler flow state is as follows:

[0022] The suspended filler flow state image of each area and the reference suspended filler image are input into the pre-trained convolutional neural network model, and the suspended filler flow state anomaly coefficient of each area is output.

[0023] As a further technical solution, the process of obtaining the water quality anomaly coefficient is as follows:

[0024] Substitute the inlet and outlet water quality data of the two-stage A / O tank into the following formula:

[0025]

[0026]

[0027] Calculate the water quality anomaly coefficient ;

[0028] in, is the weight coefficient of each influent water quality parameter, is the weight coefficient of each effluent water quality parameter, which is determined based on historical data analysis. For the Item influent water quality parameter value, For the Item effluent water quality parameter value, is the exponential coefficient, For the The minimum value of each influent water quality parameter is determined based on historical data analysis. For the The maximum value of each effluent water quality parameter is determined based on historical data analysis. is the total number of water quality parameters.

[0029] As a further technical solution, the process of judging whether there is accumulation of suspended fillers in the two-stage A / O tank is as follows:

[0030] The abnormal flow coefficient of suspended filler in each area Compared with the preset suspended filler flow abnormality coefficient threshold For comparison:

[0031] like , it is judged that the flow state of the suspended filler in the current area is abnormal and is marked as important; otherwise, it is judged that the flow state of the suspended filler in the current area is normal;

[0032] Get the number of areas with abnormalities in the two-level A / O pool ,like , then it is judged that there is a high probability of accumulation of suspended fillers, and a second judgment is performed;

[0033] like , then the probability of the suspended filler being accumulated is small; among them, This is the preset warning value for the number of abnormal areas, determined based on historical data analysis;

[0034] The process of making a secondary judgment is as follows:

[0035] The calculated water quality anomaly coefficient Compared with the preset water quality abnormal coefficient threshold For comparison:

[0036] like , it is judged that there is accumulation of suspended fillers in the two-stage A / O pool;

[0037] like , it is judged that there is no accumulation of suspended fillers in the two-stage A / O pool.

[0038] As a further technical solution, the process of adjusting the aeration volume of each aeration module is as follows:

[0039] Obtain the center of each key marked area, and use the circular area with a preset radius d around each center as the affected area of ​​the abnormal flow state of the suspended filler;

[0040] By formula:

[0041]

[0042] Calculate the control coefficient ;

[0043] in, is a dynamic factor. When the abnormal flow pattern influence areas of two adjacent suspended fillers intersect, When the value of > the abnormal flow pattern influence areas of two adjacent suspended fillers do not have an intersecting area The value of is the number of key marked areas, For the Key marked areas, For the The area of ​​the area affected by the abnormal flow of suspended fillers and ;

[0044] like , then increase the aeration volume of each aeration module by Y times; is the control coefficient threshold;

[0045] like , the aeration volume of the aeration module is increased by Y times based on the priority of the areas affected by the abnormal flow state of the suspended filler.

[0046] The process of determining the priority of the affected areas of abnormal flow pattern of suspended fillers is as follows:

[0047] The suspended filler flow abnormality impact area with intersecting areas is regarded as the first-level control level, and is arranged in descending order according to the number of intersecting areas as the first priority;

[0048] Otherwise, the minimum distance between the two suspended filler flow abnormality influence areas is obtained, and the areas are arranged in ascending order according to the minimum distance as the second priority sequence.

[0049] Beneficial effects of the present invention:

[0050] Through real-time monitoring and intelligent regulation, the present invention can ensure that the suspended fillers in the two-stage A / O tanks of the system always maintain a good flow state and distribution state, thereby improving the treatment efficiency and stability of the system; at the same time, two-phase verification is carried out by utilizing the flow state monitoring of the suspended fillers and the monitoring of the effluent water quality. If the flow state of the suspended fillers is abnormal and the effluent water quality concentration of the two-stage A / O tanks increases abnormally, it is obvious that the possibility of accumulation of the suspended fillers is higher; the treatment strategy can also be adjusted in time according to the changes in the water quality data to ensure that the effluent water quality of the entire treatment system always meets the relevant standards and requirements, thereby improving the operating efficiency and effluent water quality of the rainwater recycling and treatment system, reducing operation and maintenance costs, and providing strong technical support for the sustainable utilization of urban rainwater resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] The present invention will be further described below with reference to the accompanying drawings.

[0052] Figure 1 This is a process flow chart of the suspended filler flow monitoring system for the MBBR-based rainwater recycling process proposed in the present invention;

[0053] Figure 2 This is the logic block diagram of the suspended filler flow monitoring module. DETAILED DESCRIPTION

[0054] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0055] See also Figure 1-Figure 2 As shown, the present invention is a suspended filler flow monitoring system based on MBBR rainwater recycling process, comprising:

[0056] Pretreatment unit, including screen and aeration grit chamber;

[0057] Biochemical treatment unit, including two-stage A / O tanks and secondary sedimentation tanks;

[0058] Deep treatment units, including high-density sedimentation tanks and rotary disc filters;

[0059] Sludge treatment unit, including sludge thickening tank, sludge homogenization tank and sludge dewatering room;

[0060] Suspended fillers are provided in the two-stage A / O pools, and a suspended filler flow state monitoring module is also provided in the two-stage A / O pools for real-time monitoring and regulating the flow state of the suspended fillers.

[0061] In this embodiment, the grille in the pre-treatment unit is used to remove larger suspended matter and impurities in the rainwater to prevent clogging of subsequent treatment equipment; the aerated grit chamber removes sand particles and organic pollutants adhering to the sand particles through aeration;

[0062] The two-stage A / O tank in the biochemical treatment unit: adopts a two-stage anoxic / aerobic (A / O) process, and removes organic matter, nitrogen, phosphorus and other pollutants in rainwater through the synergistic action of heterotrophic facultative anaerobic bacteria and aerobic bacteria; the tank is equipped with suspended fillers to form MBBR, which provides a surface for microorganisms to attach and grow, increasing the number and activity of microorganisms; at the same time, a suspended filler flow monitoring module is set up to monitor and control the flow state of the suspended filler in real time to ensure that the filler is evenly distributed in the tank and improve the treatment effect; the suspended filler: is made of materials with high specific surface area, good bioaffinity and durability, such as high-density polyethylene and polypropylene. The shape and size of the filler can be customized according to actual needs to ensure the effective attachment and growth of microorganisms; the suspended filler flow monitoring module: adopts advanced sensor technology to monitor the flow parameters of the suspended filler in real time; when the filler flow state is abnormal, it can automatically issue a suspended filler accumulation alarm and adjust the aeration parameters to adjust the flow state of the suspended filler to normal state; the secondary sedimentation tank: used to achieve mud and water separation in the biochemical treatment unit to ensure the clarification of the mixed liquid;

[0063] High-density sedimentation tank in the deep treatment unit: by adding coagulants and high-density micro-sand auxiliary materials, tiny suspended matter and colloidal substances in rainwater are further removed; Rotary disk filter: using rotary disk filtration technology, through the rotation and scraping action of the filter disk, it removes suspended matter and particulate matter in rainwater, thereby improving the water quality of the outlet;

[0064] The sludge thickening tank in the sludge treatment unit is used to concentrate the sludge produced in the secondary sedimentation tank of the biochemical treatment unit to reduce the sludge volume and moisture content. The sludge homogenization tank is used to homogenize the concentrated sludge to ensure that the sludge properties and concentration are consistent. The sludge dewatering room uses mechanical dewatering equipment to dewater the sludge to reduce the sludge volume and moisture content for easy transportation and disposal.

[0065] In summary, through the synergistic effect of the pretreatment unit, biochemical treatment unit, deep treatment unit and sludge treatment unit, effective treatment and recycling of rainwater can be achieved; and the flow state of the suspended filler in the two-stage A / O tank can be monitored in real time to prevent the accumulation of suspended filler, which seriously affects the removal effect of pollutants in rainwater.

[0066] The suspended filler flow state monitoring module includes:

[0067] The partition unit is used to divide the two-stage A / O tank into several areas, each of which is equipped with an aeration module;

[0068] A data acquisition unit is provided with a suspended filler flow pattern recognition device to collect suspended filler flow pattern image data of each area in real time, and collects water quality data based on an online water quality monitoring instrument; the water quality data includes but is not limited to COD, ammonia nitrogen and total phosphorus;

[0069] The data processing unit is used to pre-process and store the collected suspended filler flow image data and water quality data, mainly including data cleaning - removing outliers and erroneous data, correction - correcting possible systematic errors in the data collection unit, and standardization - converting the data into a unified format and unit; thus, the suspended filler flow image and water quality data in a standard format are obtained respectively;

[0070] The data analysis unit compares the suspended filler flow pattern image in the standard format with the reference suspended filler image to obtain the suspended filler flow pattern abnormality coefficient; and compares the water quality data with the reference water quality data to obtain the water quality abnormality coefficient;

[0071] Comprehensively analyze the abnormal flow coefficient of suspended filler and the abnormal water quality coefficient to determine whether there is accumulation of suspended filler in the two-stage A / O tank;

[0072] The suspended filler accumulation warning unit will immediately send a warning signal to the two-stage A / O pool if it determines that there is suspended filler accumulation. Otherwise, the two-stage A / O pool will maintain normal operation;

[0073] The suspended filler flow pattern control unit is used to receive warning signals and adjust the aeration volume of the aeration module in each area. The suspended filler flow pattern recognition device is a depth camera or other equipment capable of capturing suspended filler flow pattern images. This is a prior art and will not be elaborated on here.

[0074] In this embodiment, the two-stage A / O tank is divided into multiple zones by a partitioning unit, and an aeration module is installed in each zone. The aeration module is key to controlling the flow pattern of the suspended filler. The multi-zone aeration module configuration enables refined control of the flow pattern of the suspended filler. The data acquisition unit utilizes a suspended filler flow pattern identification device and an online water quality monitor to accurately and in real time acquire suspended filler flow pattern image data and inlet and outlet water quality data of the two-stage A / O tank in each zone, providing a reliable basis for subsequent data processing and analysis. The data processing unit preprocesses and stores the acquired data, converting it into a standard-format suspended filler flow pattern image and water quality data to facilitate subsequent data analysis. The data analysis unit rapidly calculates the suspended filler flow pattern anomaly coefficient and water quality anomaly coefficient by comparing the standard-format suspended filler flow pattern image with a reference suspended filler image, as well as the water quality data with the reference water quality data, thereby achieving an accurate assessment of the suspended filler flow pattern and the effluent quality of the two-stage A / O tank. Based on the combined suspended filler flow pattern anomaly coefficient and water quality anomaly coefficient, the suspended filler accumulation warning unit can accurately determine whether suspended filler accumulation exists in the two-stage A / O tank. Once accumulation is determined, an early warning signal is immediately issued to avoid the decline in treatment efficiency and deterioration of water quality caused by the accumulation of suspended fillers; after receiving the early warning signal, the suspended filler flow control unit can automatically adjust the aeration volume of the aeration module in each area to improve the flow state of the suspended filler and prevent the occurrence of accumulation.

[0075] Through real-time monitoring and intelligent regulation, the suspended fillers in the two-stage A / O tanks of the system can be ensured to always maintain a good flow and distribution state, thereby improving the system's treatment efficiency and stability; at the same time, two-phase verification is carried out by using the flow monitoring of the suspended fillers and the monitoring of the effluent water quality. If the flow state of the suspended fillers is abnormal and the effluent water quality concentration of the two-stage A / O tanks increases abnormally, it is obvious that the possibility of accumulation of the suspended fillers is higher; the treatment strategy can also be adjusted in time according to the changes in water quality data to ensure that the effluent water quality of the entire treatment system always meets the relevant standards and requirements, thereby improving the operating efficiency and effluent water quality of the rainwater recycling and treatment system, reducing operation and maintenance costs, and providing strong technical support for the sustainable utilization of urban rainwater resources.

[0076] The process of obtaining the abnormal coefficient of suspended filler flow state is as follows:

[0077] The suspended filler flow state image of each area and the reference suspended filler image are input into the pre-trained convolutional neural network model, and the suspended filler flow state anomaly coefficient of each area is output.

[0078] In this embodiment, a method for obtaining the abnormal flow coefficient of suspended filler is provided, specifically:

[0079] a) Data preparation: Collect images of the suspended filler flow state in each area as the images to be measured, and prepare at least one reference suspended filler image representing the normal flow state;

[0080] b) Convolutional neural network model training: Select a convolutional neural network model and train it using an image dataset containing normal and abnormal flow samples until the model can accurately distinguish between normal and abnormal flow states;

[0081] c) Image input: The suspended filler flow state image of each region and the reference suspended filler image are input into the trained convolutional neural network model;

[0082] d) Calculation of anomaly coefficient: The difference between the suspended filler flow pattern of each area output by the convolutional neural network model and the reference suspended filler image is used to obtain the anomaly coefficient of the suspended filler flow pattern of each area based on the difference / average value of the difference.

[0083] The process of obtaining the water quality anomaly coefficient is:

[0084] Substitute the inlet and outlet water quality data of the two-stage A / O tank into the following formula:

[0085]

[0086]

[0087] Calculate the water quality anomaly coefficient ;

[0088] in, is the weight coefficient of each influent water quality parameter, is the weight coefficient of each effluent water quality parameter, which is determined based on historical data analysis. For the Item influent water quality parameter value, For the Item effluent water quality parameter value, is the exponential coefficient, For the The minimum value of each influent water quality parameter is determined based on historical data analysis. For the The maximum value of each effluent water quality parameter is determined based on historical data analysis. is the total number of water quality parameters. .

[0089] For example: when the qualified range of a certain effluent water quality parameter is 3-6, 6 is the maximum value of the effluent water quality parameter, and 3 is the minimum value of the effluent water quality parameter. The smaller the effluent water quality parameter, the better the effluent water quality. On the contrary, the larger the effluent water quality parameter, the worse the effluent water quality. Therefore, when the measured effluent water quality parameter is 4.7, but , ; Obviously, the closer the effluent water quality parameter is to the maximum value, The smaller;

[0090] In this embodiment, a method for calculating the water quality anomaly coefficient is provided. Specifically, by calculating The evaluation status of the influent water quality is obtained and reflected by the index coefficient. The larger the value, the worse the influent quality, and therefore the greater the pressure on the treatment effect of the two-stage A / O pool. Therefore, the overall influent quality is obtained by summing up each influent quality parameter, and then the effluent quality is calculated. Obviously, through the above summation process, it can be seen that if the effluent water quality parameter is lower than the minimum value, it means that the water quality parameter is better. It can be seen that if the inlet water quality is worse and the outlet water quality is better, the water quality abnormality coefficient is smaller; otherwise, the water quality abnormality coefficient is larger.

[0091] The process of judging whether there is accumulation of suspended filler in the two-stage A / O tank is as follows:

[0092] The abnormal flow coefficient of suspended filler in each area Compared with the preset suspended filler flow abnormality coefficient threshold For comparison:

[0093] like , it is judged that the flow state of the suspended filler in the current area is abnormal and is marked as important; otherwise, it is judged that the flow state of the suspended filler in the current area is normal;

[0094] Get the number of areas with abnormalities in the two-level A / O pool ,like , then it is judged that there is a high probability of accumulation of suspended fillers, and a second judgment is performed;

[0095] like , then the probability of the suspended filler being accumulated is small; among them, This is the preset warning value for the number of abnormal areas, determined based on historical data analysis.

[0096] The process of making a secondary judgment is as follows:

[0097] The calculated water quality anomaly coefficient Compared with the preset water quality abnormal coefficient threshold For comparison:

[0098] like , it is judged that there is accumulation of suspended fillers in the two-stage A / O pool;

[0099] like , it is judged that there is no accumulation of suspended fillers in the two-stage A / O pool.

[0100] In this embodiment, by setting the threshold value of the abnormal coefficient of the suspended filler flow state and the warning value of the number of abnormal areas, the areas where the suspended filler flow state is abnormal can be accurately identified and marked as key areas; when the number of abnormal areas reaches the warning value, the system further performs a secondary judgment, thereby improving the accuracy and reliability of accumulation identification; once it is determined that the probability of suspended filler accumulation is high, the warning mechanism is immediately activated, and the aeration volume of the aeration module is automatically adjusted to improve the flow state of the suspended filler and prevent the occurrence of accumulation; timely response and regulation effectively avoid the decline in treatment efficiency and deterioration of water quality due to accumulation.

[0101] The process of adjusting the aeration volume of each aeration module is as follows:

[0102] Obtain the center of each key marked area, and use the circular area with a preset radius d around each center as the affected area of ​​the abnormal flow state of the suspended filler;

[0103] By formula:

[0104]

[0105] Calculate the control coefficient ;

[0106] in, is a dynamic factor. When the abnormal flow pattern influence areas of two adjacent suspended fillers intersect, When the value of > the abnormal flow pattern influence areas of two adjacent suspended fillers do not have an intersecting area The value of is the number of key marked areas, For the Key marked areas, For the The area of ​​the area affected by the abnormal flow of suspended fillers and ;

[0107] For example: When there is an intersection between the abnormal flow pattern influence areas of two adjacent suspended fillers, , when there is no intersection between the abnormal flow patterns of two adjacent suspended fillers, ;

[0108] like , then increase the aeration volume of each aeration module by Y times; is the control coefficient threshold; the specific value of Y is selected based on empirical data;

[0109] like , the aeration volume of the aeration module is increased by Y times based on the priority of the areas affected by the abnormal flow state of the suspended filler.

[0110] The process of determining the priority of the affected areas of abnormal flow pattern of suspended fillers is as follows:

[0111] The suspended filler flow abnormality impact area with intersecting areas is regarded as the first-level control level, and is arranged in descending order according to the number of intersecting areas as the first priority;

[0112] Otherwise, the minimum distance between the two suspended filler flow abnormality influence areas is obtained, and the areas are arranged in ascending order according to the minimum distance as the second priority sequence.

[0113] In this embodiment, the abnormal flow influence area of ​​the suspended filler is set according to the key marked area, which makes the control more accurate and avoids unnecessary energy consumption. In the control process, the intersection between adjacent abnormal influence areas is fully considered. By introducing the dynamic factor , achieving priority treatment of intersecting areas. This first-level control level setting ensures a rapid response when faced with complex flow anomalies, effectively preventing the accumulation and deterioration of suspended fillers. At the same time, the second-level control levels are sorted according to the minimum distance between the two suspended filler flow anomaly impact areas. This distance-based sorting method not only optimizes resource allocation, but also improves the efficiency and accuracy of control.

[0114] In summary, the process of dynamically adjusting the aeration volume of the aeration module not only effectively addressed the abnormal flow state of the suspended filler, but also reduced energy consumption, improved the control efficiency and water quality stability, and provided strong technical support for the management and maintenance of the suspended filler in the A / O pool. It also made an important contribution to the overall performance improvement of the rainwater recycling and treatment system.

[0115] It should be noted that the calculation formulas and various parameters involved in the calculations in the present invention have been dimensionally processed in advance, and the process of dimensionless processing is well known in the industry and will not be described here.

[0116] The above is a detailed description of an embodiment of the present invention. However, the content described is only a preferred embodiment of the present invention and should not be considered to limit the scope of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. The suspended filler flow monitoring system for MBBR-based rainwater recycling process is characterized by: include: Pretreatment unit, including screen and aeration grit chamber; Biochemical treatment unit, including two-stage A / O tanks and secondary sedimentation tanks; Deep treatment units, including high-density sedimentation tanks and rotary disc filters; Sludge treatment unit, including sludge thickening tank, sludge homogenization tank and sludge dewatering room; The two-stage A / O tank is provided with a suspended filler, and the two-stage A / O tank is also provided with a suspended filler flow state monitoring module for real-time monitoring and regulating the flow state of the suspended filler; The suspended filler flow state monitoring module includes: The partition unit is used to divide the two-stage A / O tank into several areas, each of which is equipped with an aeration module; A data acquisition unit is provided with a suspended filler flow pattern recognition device to collect suspended filler flow pattern image data of each area in real time, and collects water quality data based on the water quality online monitoring instrument; A data processing unit is used to pre-process and store the collected suspended filler flow image data and water quality data to obtain the suspended filler flow image and water quality data in standard formats respectively; The data analysis unit compares the suspended filler flow pattern image in the standard format with the reference suspended filler image to obtain the suspended filler flow pattern abnormality coefficient; and compares the water quality data with the reference water quality data to obtain the water quality abnormality coefficient; Comprehensively analyze the abnormal flow coefficient of suspended filler and the abnormal water quality coefficient to determine whether there is accumulation of suspended filler in the two-stage A / O tank; The suspended filler accumulation warning unit will immediately send a warning signal to the two-stage A / O pool if it determines that there is suspended filler accumulation. Otherwise, the two-stage A / O pool will maintain normal operation; Suspended filler flow control unit, used to receive warning signals and adjust the aeration volume of the aeration module in each area; The process of obtaining the water quality anomaly coefficient is: Substitute the inlet and outlet water quality data of the two-stage A / O tank into the following formula: ； ； Calculate the water quality anomaly coefficient ; in, is the weight coefficient of each influent water quality parameter, is the weight coefficient of each effluent water quality parameter, which is determined based on historical data analysis. For the Item influent water quality parameter value, For the Item effluent water quality parameter value, is the exponential coefficient, For the The minimum value of each influent water quality parameter is determined based on historical data analysis. For the The maximum value of each effluent water quality parameter is determined based on historical data analysis. is the total number of water quality parameters, and ; The process of judging whether there is accumulation of suspended filler in the two-stage A / O tank by combining the abnormal coefficient of suspended filler flow pattern and the abnormal coefficient of water quality is as follows: The abnormal flow coefficient of suspended filler in each area Compared with the preset suspended filler flow abnormality coefficient threshold For comparison: like , it is judged that the flow state of the suspended filler in the current area is abnormal and is marked as important; otherwise, it is judged that the flow state of the suspended filler in the current area is normal; Get the number of areas with abnormalities in the two-level A / O pool ,like , then it is judged that there is a high probability of accumulation of suspended fillers, and a second judgment is performed; like , then the probability of the suspended filler being accumulated is small; among them, This is the preset warning value for the number of abnormal areas, determined based on historical data analysis; The process of secondary judgment on whether the suspended filler is accumulated is as follows: The calculated water quality anomaly coefficient Compared with the preset water quality abnormal coefficient threshold For comparison: like , it is judged that there is accumulation of suspended fillers in the two-stage A / O pool; like , it is judged that there is no accumulation of suspended fillers in the two-stage A / O pool.

2. The MBBR-based rainwater recycling process suspended filler flow monitoring system according to claim 1 is characterized in that: The process of obtaining the abnormal coefficient of suspended filler flow state is as follows: The suspended filler flow state image of each area and the reference suspended filler image are input into the pre-trained convolutional neural network model, and the suspended filler flow state anomaly coefficient of each area is output.

3. The MBBR-based rainwater recycling process suspended filler flow monitoring system according to claim 1 is characterized in that: The process of adjusting the aeration volume of each aeration module is as follows: Obtain the center of each key marked area, and use the circular area with a preset radius d around each center as the affected area of ​​the abnormal flow state of the suspended filler; By formula: ； Calculate the control coefficient ; in, is a dynamic factor. When the abnormal flow pattern influence areas of two adjacent suspended fillers intersect, When the value of > the abnormal flow pattern influence areas of two adjacent suspended fillers do not have an intersecting area The value of is the number of key marked areas, For the Key marked areas, For the The area of ​​the area affected by the abnormal flow of suspended fillers and ; like , then increase the aeration volume of each aeration module by Y times; is the control coefficient threshold; the specific value of Y is selected based on empirical data; like , the aeration volume of the aeration module is increased by Y times based on the priority of the areas affected by the abnormal flow state of the suspended filler.

4. The MBBR-based rainwater recycling process suspended filler flow monitoring system according to claim 3 is characterized in that: The process of determining the priority of the affected areas of abnormal flow pattern of suspended fillers is as follows: The suspended filler flow abnormality impact area with intersecting areas is regarded as the first-level control level, and is arranged in descending order according to the number of intersecting areas as the first priority; Otherwise, the minimum distance between the two suspended filler flow abnormality influence areas is obtained, and the minimum distances are arranged in ascending order as the second priority sequence.

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