Moving bed biofilm reactor (MBBR)-based rainwater recycling process suspended filler flow state monitoring system

Abstract

The invention relates to the field of rainwater regeneration, and discloses an MBBR-based rainwater recycling process suspended filler flow state monitoring system, which comprises: a pretreatment unit, which comprises a grid and an aerated grit chamber; the biochemical treatment unit comprises a two-stage A / O tank and a secondary sedimentation tank; the deep treatment unit comprises a high-density sedimentation tank and a turntable filter tank; the sludge treatment unit comprises a sludge thickening tank, a sludge homogenizing tank and a sludge dewatering machine room; suspended filler is arranged in the two-stage A / O tank, and a suspended filler flow state monitoring module is further arranged in the two-stage A / O tank and used for monitoring, regulating and controlling the flow state of the suspended filler in real time. 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 realized, and the flow state of the suspended filler in the two-stage A / O tank can be monitored and regulated in real time, so that accumulation of the suspended filler is prevented.

Description

Technical Field

[0001] The present invention relates to the field of rainwater regeneration, and particularly to a suspension packing flow state monitoring system for a rainwater regeneration and utilization process based on MBBR. Background Art

[0002] For water-scarce cities, the collection and regeneration and utilization of rainwater resources are one of the important measures to solve the urban water shortage. Reclaimed water can be used for agricultural irrigation, industrial water use, urban landscape water use, wetland restoration, water body recharge and other environmental restoration, washing vehicles, cleaning roads, urban greening, flushing toilets and other miscellaneous domestic water, and groundwater recharge. The regeneration and utilization of rainwater saves the use of conventional water sources and provides an important guarantee for ensuring the storage capacity of fresh water resources; compared with long-distance water diversion projects, the cost required for the regeneration and utilization of rainwater is lower, and it can reduce the damage to the ecosystem and solve the contradiction between water supply and demand in urban development.

[0003] Many cities have established rainwater storage tank systems, and some are equipped with rainwater regeneration and utilization systems. The rainwater regeneration and utilization system generally includes the following units: a pretreatment unit, a biological treatment unit, and a advanced treatment unit.

[0004] The biological treatment unit in the rainwater regeneration and utilization system is the key link for removing pollutants. The moving bed biofilm reactor (MBBR) performs excellently in treating low-pollution water such as rainwater. The suspension packing is the core of the MBBR process. However, in actual engineering applications, there is often a phenomenon of suspension packing accumulation, which seriously affects its removal effect on pollutants in rainwater. Summary of the Invention

[0005] The purpose of the present invention is to provide a suspension packing flow state monitoring system for a rainwater regeneration and utilization 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: A suspension packing flow state monitoring system for a rainwater regeneration and utilization process based on MBBR includes: A pretreatment unit, including a grille and an aerated grit chamber; A biochemical treatment unit, including two-stage A / O tanks and a secondary sedimentation tank; An advanced treatment unit, including a high-density sedimentation tank and a rotary disk filter; A sludge treatment unit, including a sludge thickening tank, a sludge homogenization tank, and a sludge dewatering machine room; Suspension packings are arranged in the two-stage A / O tanks, and a suspension packing flow state monitoring module is further arranged in the two-stage A / O tanks for real-time monitoring and regulation of the flow state of the suspension packings.

[0007] The suspension packing flow state monitoring module includes: Partition units, which are used to divide the two-stage A / O pool into several regions, and an aeration module is arranged in each region; Data acquisition units, which are provided with suspended packing flow state recognition devices to collect the suspended packing flow state image data of each region in real time, and collect water quality data based on on-line water quality monitors; Data processing units, which are used to preprocess the collected suspended packing flow state image data and water quality data, namely data cleaning, calibration and standardization, and store them to obtain the suspended packing flow state images and water quality data in standard formats respectively; Data analysis units, which compare the suspended packing flow state images in standard formats with the reference suspended packing images to obtain the suspended packing flow state anomaly coefficients; compare the water quality data with the reference water quality data to obtain the water quality anomaly coefficients; Based on the comprehensive suspended packing flow state anomaly coefficient and the water quality anomaly coefficient, judge whether there is accumulation of suspended packing in the two-stage A / O pool; Suspended packing accumulation warning units, if it is judged that there is accumulation of suspended packing, immediately send a warning signal to the two-stage A / O pool, otherwise, keep the two-stage A / O pool running normally; Suspended packing flow state regulation units, which are used to receive warning signals and adjust the aeration volume of the aeration modules in each region.

[0008] The process of obtaining the suspended packing flow state anomaly coefficient is as follows: Input the suspended packing flow state images of each region and the reference suspended packing images into a pre-trained convolutional neural network model, and output the suspended packing flow state anomaly coefficients of each region.

[0009] As a further technical solution, the process of obtaining the water quality anomaly coefficient is as follows: Substitute the influent water quality and effluent water quality data of the two-stage A / O pool into the following formula:

[0010]

[0011] Calculate to obtain the water quality anomaly coefficient ; Among them, is the weight coefficient of each influent water quality parameter, is the weight coefficient of each effluent water quality parameter, both of which are determined based on historical data analysis, is the th influent water quality parameter value, is the th effluent water quality parameter value, is the exponential coefficient, is the th minimum value of the influent water quality parameter, determined based on historical data analysis, For the The maximum value of the effluent water quality parameter is determined based on historical data analysis. is the total number of water quality parameters.

[0012] 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: The abnormal coefficient of suspended filler flow pattern in each area The preset abnormal coefficient threshold of suspended filler flow pattern For comparison: like , then 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 the probability of the suspended filler being accumulated is high, and a second judgment is made; like , then the probability of the suspended filler being accumulated is small; among them, It is the preset warning value of the number of abnormal areas, which is determined based on historical data analysis; The process of making a secondary judgment 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.

[0013] As a further technical solution, 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 abnormal flow state of the suspended filler; By formula:

[0014] 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 > does not exist in the intersection area between the abnormal flow pattern influence areas of two adjacent suspended fillers The value of is the number of key marked areas, is the th key marked area, is the th area affected by abnormal fluidization of suspended packing and ; If , then increase the aeration volume of each aeration module by Y times; is the threshold of the regulation coefficient; If , then increase the aeration volume of the aeration module by Y times in sequence based on the priority order of the area affected by abnormal fluidization of suspended packing.

[0015] The process of determining the priority order of the area affected by abnormal fluidization of suspended packing is as follows: Regard the area affected by abnormal fluidization of suspended packing with an intersecting area as the first-level regulation level, and arrange them in descending order according to the number of intersecting areas as the first priority order; Otherwise, obtain the minimum distance between two areas affected by abnormal fluidization of suspended packing, and arrange them in ascending order according to the minimum distance as the second priority sequence.

[0016] Advantages of the present invention: Through real-time monitoring and intelligent regulation, the present invention can ensure that the suspended packing in the two-stage A / O pool of the system always maintains a good fluidization state and distribution state, thereby improving the treatment efficiency and stability of the system; at the same time, using the fluidization monitoring of the suspended packing and the monitoring of the effluent water quality for two-phase verification, if the fluidization of the suspended packing is abnormal and the effluent water quality concentration of the two-stage A / O pool increases abnormally, obviously the possibility of the suspended packing being piled up is higher; it can also adjust the treatment strategy in a timely manner according to the change of 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 operation efficiency and effluent water quality of the rainwater recycling treatment system, reducing the operation and maintenance cost, and providing strong technical support for the sustainable utilization of urban rainwater resources. Brief Description of the Drawings

[0017] The present invention will be further described below with reference to the drawings.

[0018] Figure 1 is the process flow chart of the suspended packing fluidization monitoring system for the rainwater recycling process based on MBBR proposed by the present invention; Figure 2 is the logic block diagram of the suspended packing fluidization monitoring module. Detailed Embodiments

[0019] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0020] Please refer to Figure 1 - Figure 2 As shown, the present invention is a suspended packing flow state monitoring system for a rainwater recycling process based on MBBR, including: A pretreatment unit, including a grille and an aerated grit chamber; A biochemical treatment unit, including two-stage A / O tanks and a secondary sedimentation tank; An advanced treatment unit, including a high-density sedimentation tank and a rotary disk filter; A sludge treatment unit, including a sludge thickening tank, a sludge homogenization tank and a sludge dewatering machine room; Suspended packing is arranged in the two-stage A / O tanks, and a suspended packing flow state monitoring module is also arranged in the two-stage A / O tanks for real-time monitoring and regulation of the flow state of the suspended packing.

[0021] In this embodiment, the grille in the pretreatment unit is used to remove larger suspended matters and impurities in rainwater to prevent subsequent treatment equipment from being blocked; the aerated grit chamber removes sand grains and organic pollutants adhering to the sand grains through aeration; The two-stage A / O tanks in the biochemical treatment unit: adopt a two-stage anoxic / aerobic (A / O) process, and through the synergistic action of heterotrophic facultative anaerobic bacteria and aerobic bacteria, remove pollutants such as organic matters, nitrogen and phosphorus in rainwater; suspended packing is arranged in the tanks to form MBBR, providing a surface for microorganisms to attach and grow, increasing the number and activity of microorganisms; at the same time, a suspended packing flow state monitoring module is set to monitor and regulate the flow state of the suspended packing in real time to ensure that the packing is evenly distributed in the tanks and improve the treatment effect; Suspended packing: made of materials with high specific surface area, good biocompatibility and durability, such as high-density polyethylene and polypropylene. The shape and size of the packing can be customized according to actual needs to ensure the effective attachment and growth of microorganisms; Suspended packing flow state monitoring module: adopt advanced sensor technology to monitor the flow state parameters of the suspended packing in real time; when abnormal packing flow state is detected, it can automatically give an alarm prompt for suspended packing accumulation and at the same time adjust the aeration parameters to adjust the flow state of the suspended packing to the normal state; Secondary sedimentation tank: used to realize the separation of mud and water in the biochemical treatment unit to ensure the clarification of the mixed liquid; The high-density sedimentation tank in the advanced treatment unit: further removes tiny suspended matters, colloidal substances, etc. in rainwater by adding a coagulant and a high-density microsand auxiliary material; Rotary disk filter: adopts rotary disk filtration technology, and through the rotation and sludge scraping of the filter disk, removes suspended matters and particulate matters in rainwater to improve the effluent quality; Sludge thickening tank in the sludge treatment unit: thickens the sludge generated from the secondary sedimentation tank in the biochemical treatment unit to reduce the sludge volume and moisture content; sludge homogenization tank: homogenizes the thickened sludge to ensure consistent sludge properties and concentration; sludge dewatering workshop: uses mechanical dewatering equipment to dehydrate the sludge, reducing the sludge volume and moisture content for subsequent transportation and disposal; In summary, through the synergistic effects of the pretreatment unit, biochemical treatment unit, advanced treatment unit, and sludge treatment unit, effective treatment and recycling of rainwater are achieved; and the flow state of the suspended packing in the two-stage A / O tank can be monitored in real time to prevent the situation where the accumulation of suspended packing seriously affects the removal effect of pollutants in rainwater.

[0022] The suspended packing flow state monitoring module includes: Partitioning unit, used to divide the two-stage A / O tank into several areas, and one aeration module is set in each area; Data acquisition unit, sets a suspended packing flow state recognition device to collect the suspended packing flow state image data of each area in real time, and collects water quality data based on the on-line water quality monitor; the water quality data includes but is not limited to COD, ammonia nitrogen, and total phosphorus; Data processing unit, used to preprocess and store the collected suspended packing flow state image data and water quality data, mainly including data cleaning - removing outliers and error data, calibration - correcting possible systematic errors in the data acquisition unit, and standardization - converting the data into a unified format and unit; obtaining the suspended packing flow state image and water quality data in standard format respectively; Data analysis unit, compares the suspended packing flow state image in standard format with the reference suspended packing image to obtain the suspended packing flow state anomaly coefficient; compares the water quality data with the reference water quality data to obtain the water quality anomaly coefficient; Combining the suspended packing flow state anomaly coefficient and the water quality anomaly coefficient, determines whether there is accumulation of suspended packing in the two-stage A / O tank; Suspended packing accumulation warning unit, if it is determined that there is accumulation of suspended packing, immediately issues a warning signal to the two-stage A / O tank, otherwise, keeps the two-stage A / O tank running normally; Suspended packing flow state regulation unit, used to receive the warning signal and adjust the aeration volume of the aeration module in each area. The suspended packing flow state recognition device is a depth camera or other equipment that can achieve the collection of suspended packing flow state images, which is prior art and will not be elaborated here; In this embodiment, the two-stage A / O pool is divided into multiple areas by a partition unit, and an aeration module is set in each area. The aeration module is the key to controlling the flow state of the suspended filler. The multi-area aeration module setting can realize the fine regulation of the flow state of the suspended filler; the data acquisition unit uses the suspended filler flow state identification device and the water quality online monitoring instrument to collect the suspended filler flow state image data of each area and the inlet and outlet water quality data of the two-stage A / O pool in real time and accurately, providing a reliable basis for subsequent data processing and analysis; the data processing unit pre-processes and stores the collected data, and converts it into a suspended filler flow state image and water quality data in a standard format, which is convenient for subsequent data analysis; the data analysis unit can quickly calculate the suspended filler flow state abnormality coefficient and the water quality abnormality coefficient by comparing the suspended filler flow state image in a standard format with the reference suspended filler image, as well as the water quality data with the reference water quality data, thereby realizing an accurate evaluation of the suspended filler flow state and the effluent water quality of the two-stage A / O pool; based on the suspended filler flow state abnormality coefficient and the water quality abnormality coefficient, the suspended filler accumulation early warning unit can accurately judge whether there is suspended filler accumulation in the two-stage A / O pool. Once accumulation is determined, a warning signal is immediately issued to avoid the reduction in treatment efficiency and deterioration of water quality caused by the accumulation of suspended fillers; after receiving the 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 accumulation.

[0023] Through real-time monitoring and intelligent regulation, it is possible to ensure that the suspended fillers in the two-stage A / O pools of the system 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 pools is abnormally increased, 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 treatment system, reducing operation and maintenance costs, and providing strong technical support for the sustainable utilization of urban rainwater resources.

[0024] The process of obtaining the abnormal coefficient of suspended filler flow pattern 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.

[0025] In this embodiment, a method for obtaining the abnormal coefficient of the flow state of suspended filler is provided, specifically: a) Data preparation: collect the flow state images of the suspended filler in each area as the images to be tested, and prepare at least one reference suspended filler image representing the normal flow state; b) Convolutional neural network model training: Select a convolutional neural network model and train the model using an image dataset containing normal and abnormal flow pattern samples until the model can accurately distinguish between normal and abnormal flow patterns; c) Image input: Input the suspended packing flow pattern images and reference suspended packing images of each region into the trained convolutional neural network model; d) Abnormality coefficient calculation: Utilize the degree of difference between the suspended packing flow pattern of each region output by the convolutional neural network model and the reference suspended packing image, and obtain the abnormality coefficient of the suspended packing flow pattern of each region based on this difference / difference average.

[0026] The process of obtaining the water quality abnormality coefficient is as follows: Substitute the influent water quality and effluent water quality data of the two-stage A / O pond into the following formula:

[0027]

[0028] Calculate to obtain the water quality abnormality coefficient ; Among them, is the weight coefficient of each influent water quality parameter, is the weight coefficient of each effluent water quality parameter, both determined based on historical data analysis, is the th influent water quality parameter value, is the th effluent water quality parameter value, is the exponential coefficient, is the th minimum value of the influent water quality parameter, determined based on historical data analysis, is the th maximum value of the effluent water quality parameter, determined based on historical data analysis, is the total number of water quality parameters. It should be noted that, .

[0029] Example: When the qualified range of a certain effluent water quality parameter is 3 - 6, 6 is the maximum value of this effluent water quality parameter, and 3 is the minimum value of this effluent water quality parameter. The smaller the effluent water quality parameter, the better the effluent water quality. Conversely, the larger the effluent water quality parameter, the worse the effluent water quality. Therefore, when the measured value of this effluent water quality parameter is 4.7, then , ; Obviously, the closer the effluent water quality parameter is to the maximum value, the smaller; In this embodiment, a method for calculating and obtaining the water quality anomaly coefficient is provided. Specifically, by calculating the evaluation status of the influent water quality is obtained and reflected by an exponential coefficient. Obviously the larger it is, the worse the influent water quality is. Therefore, the greater the pressure on the treatment effect of the two-stage A / O pool. Therefore, the overall influent water quality situation is obtained by summing each influent water quality parameter, and then the effluent water 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 this water quality parameter is better. Then, through it can be seen that obviously, if the influent water quality is worse and the effluent water quality is better, it means that the water quality anomaly coefficient is smaller; otherwise, it indicates that the water quality anomaly coefficient is larger.

[0030] The process of judging whether there is accumulation of suspended packing in the two-stage A / O pool by combining the flow state anomaly coefficient of the suspended packing and the water quality anomaly coefficient R is as follows: The flow state anomaly coefficient of the suspended packing in each area is compared with the preset threshold of the flow state anomaly coefficient of the suspended packing : If , it is judged that the flow state of the suspended packing in the current area is abnormal and marked as a key point; otherwise, it is judged that the flow state of the suspended packing in the current area is normal; The number of abnormal areas in the two-stage A / O pool is obtained . If , it is judged that the probability of suspended packing accumulation is high, and a secondary judgment is made; If , it is judged that the probability of suspended packing accumulation is low; where is the preset early warning value of the number of abnormal areas, which is determined based on historical data analysis.

[0031] The process of making a secondary judgment is as follows: The calculated water quality anomaly coefficient is compared with the preset water quality anomaly coefficient threshold : If , it is judged that there is accumulation of suspended packing in the two-stage A / O pool; If , it is judged that there is no accumulation of suspended packing in the two-stage A / O pool.

[0032] In this embodiment, by setting the threshold value of the abnormal coefficient of the floating packing flow regime and the early warning value of the number of abnormal regions, the regions with abnormal floating packing flow regime can be accurately identified and marked emphatically; when the number of abnormal regions reaches the early warning value, the system further makes a secondary judgment, improving the accuracy and reliability of the accumulation identification; once it is judged that the probability of floating packing accumulation is high, the early warning mechanism is immediately activated, and the aeration volume of the aeration module is automatically adjusted to improve the floating packing flow regime and prevent the occurrence of accumulation; the timely response and regulation effectively avoid the decline in treatment efficiency and water quality deterioration caused by accumulation.

[0033] The process of adjusting the aeration volume of each aeration module is as follows: Obtain the center of each emphatically marked region, and take the circular region with a preset radius d centered on each center as the abnormal influence region of the floating packing flow regime; Through the formula:

[0034] Calculate to obtain the regulation coefficient ; Wherein, is the dynamic factor, and when there is an intersection region between two adjacent abnormal influence regions of the floating packing flow regime the value of > the value of when there is no intersection region between two adjacent abnormal influence regions of the floating packing flow regime the value of, is the number of emphatically marked regions, is the th emphatically marked region, is the th area of the abnormal influence region of the floating packing flow regime and ; For example: when there is an intersection region between two adjacent abnormal influence regions of the floating packing flow regime, , when there is no intersection region between two adjacent abnormal influence regions of the floating packing flow regime, ; If , then increase the aeration volume of each aeration module by Y times; is the threshold value of the regulation coefficient; the specific value of Y is selected according to empirical data; If , then increase the aeration volume of the aeration module by Y times in turn based on the priority order of the abnormal influence regions of the floating packing flow regime.

[0035] The process of determining the priority order of the abnormal influence regions of the floating packing flow regime is as follows: Take the abnormal influence regions of the floating packing flow regime with intersection regions as the first-level regulation level, and arrange them in descending order according to the number of intersection regions as the first priority order; Otherwise, obtain the minimum distance between the abnormal fluidization influence areas of the two suspended packing, and after arranging them in ascending order according to the minimum distance, use it as the second priority sequence.

[0036] In this embodiment, the abnormal fluidization influence area of the suspended packing is set according to the key marked area, making the regulation more accurate and avoiding unnecessary energy consumption; during the regulation process, the intersection situation between adjacent abnormal influence areas is fully considered, and by introducing a dynamic factor , the priority processing of the intersection area is realized. The setting of this first-level regulation level ensures a rapid response in the face of complex abnormal fluidization and effectively prevents the accumulation and deterioration of the suspended packing; at the same time, the second-level regulation level is sorted according to the minimum distance between the abnormal fluidization influence areas of the two suspended packing; this distance-based sorting method not only optimizes the allocation of resources but also improves the efficiency and accuracy of the regulation; In summary, through the process of dynamically adjusting the aeration volume of the aeration module, it not only effectively responds to the abnormal fluidization of the suspended packing, but also reduces energy consumption, improves the regulation efficiency and water quality stability, provides strong technical support for the management and maintenance of the suspended packing in the A / O tank, and also makes an important contribution to the overall performance improvement of the rainwater reclamation and utilization treatment system.

[0037] It should be noted that the calculation formulas and each parameter participating in the operation in the present invention are all pre-dimensionless processed, and the process of dimensionless processing is well known in the industry and will not be described here.

[0038] The above has described a detailed description of an embodiment of the present invention, but the content described is only the preferred embodiment of the present invention and cannot be considered as limiting the scope of implementation of the present invention. All equivalent changes and improvements made according to the scope of the present invention application should still fall within the scope covered by the patent of the present invention.

Claims

1. The fluid state monitoring system of suspended packing for the rainwater recycling process based on MBBR is characterized in that, Including: A pretreatment unit, including a grille and an aerated grit chamber; A biochemical treatment unit, including two-stage A / O ponds and a secondary sedimentation tank; An advanced treatment unit, including a high-density sedimentation tank and a rotary disk filter; A sludge treatment unit, including a sludge thickening tank, a sludge equalization tank and a sludge dewatering room; Suspended fillers are arranged in the two-stage A / O ponds, and a suspended filler monitoring module is also arranged in the two-stage A / O ponds for real-time monitoring and regulation of the flow pattern of the suspended fillers; The suspended filler monitoring module includes a zoning unit, a data acquisition unit, a data processing unit, a data analysis unit, a suspended filler accumulation warning unit and a suspended filler flow pattern regulation unit.

2. The fluid state monitoring system of suspended packing for the rainwater recycling process based on MBBR according to claim 1, wherein The suspended filler flow pattern monitoring module includes: A zoning unit for dividing the two-stage A / O ponds into several areas, and an aeration module is arranged in each area; A data acquisition unit, which sets a suspended filler flow pattern recognition device to collect the suspended filler flow pattern image data of each area in real time, and collects water quality data based on an on-line water quality monitor; A data processing unit for preprocessing and storing the collected suspended filler flow pattern image data and water quality data to obtain a suspended filler flow pattern image and water quality data in a standard format respectively; A data analysis unit, which compares the suspended filler flow pattern image in the standard format with a reference suspended filler image to obtain a suspended filler flow pattern anomaly coefficient; compares the water quality data with the reference water quality data to obtain a water quality anomaly coefficient; Combining the suspended filler flow pattern anomaly coefficient and the water quality anomaly coefficient to judge whether there is accumulation of suspended fillers in the two-stage A / O ponds; A suspended filler accumulation warning unit, if it is judged that there is accumulation of suspended fillers, immediately sends a warning signal to the two-stage A / O ponds, otherwise, keeps the two-stage A / O ponds running normally; A suspended filler flow pattern regulation unit for receiving the warning signal and adjusting the aeration volume of the aeration module in each area.

3. The fluid state monitoring system of the suspended packing for the rainwater recycling process based on MBBR according to claim 2, characterized in that, The process of obtaining the suspended filler flow pattern anomaly coefficient is: Inputting the suspended filler flow pattern images of each area and the reference suspended filler image into a pre-trained convolutional neural network model, and outputting the suspended filler flow pattern anomaly coefficient of each area.

4. The fluid state monitoring system for suspended packing of the MBBR-based rainwater recycling process according to claim 3, characterized in that, The process of obtaining the water quality anomaly coefficient is: Substituting the influent water quality and effluent water quality data of the two-stage A / O ponds into the following formula: ； ； Calculate the water quality anomaly coefficient ; Among them, is the weight coefficient of each influent water quality parameter, is the weight coefficient of each effluent water quality parameter, both determined based on historical data analysis, is the value of the th influent water quality parameter, is the value of the th effluent water quality parameter, is the minimum value of the th influent water quality parameter, determined based on historical data analysis, is the maximum value of the th effluent water quality parameter, determined based on historical data analysis, .

5. The suspended packing flow regime monitoring system for the rainwater recycling process based on MBBR according to claim 4, wherein, The process of combining the suspended filler flow pattern anomaly coefficient and the water quality anomaly coefficient to judge whether there is accumulation of suspended fillers in the two-stage A / O ponds is: The fluidization anomaly coefficient of the suspended packing in each area is compared with the preset threshold value of the fluidization anomaly coefficient of the suspended packing as follows: If , it is determined that the fluidization state of the suspended packing in the current area is abnormal and marked with emphasis; otherwise, it is determined that the fluidization state of the suspended packing in the current area is normal; Obtain the number of abnormal areas in the two-stage A / O pool , if , it is determined that the probability of suspended packing accumulation is high, and then a secondary judgment is made; If , the probability of the floating packing being piled up is judged to be small; where is a preset early warning value of the number of abnormal areas, which is determined based on historical data analysis.

6. The suspended packing flow regime monitoring system for the rainwater recycling process based on MBBR according to claim 5, wherein The process of performing a secondary judgment on whether there is accumulation of suspended fillers is: Compare the calculated water quality anomaly coefficient with the preset water quality anomaly coefficient threshold as follows: If , it is determined that there is accumulation of suspended packing in the two-stage A / O pool; If , it is determined that there is no accumulation of suspended packing in the two-stage A / O pond.

7. The suspended packing flow state monitoring system for the MBBR-based rainwater recycling process according to claim 1 or 6, characterized in that, The process of adjusting the aeration volume of each aeration module is: Obtaining the center of each key marked area, and taking the circular area with a preset radius d centered on each center as the suspended filler flow pattern anomaly influence area; By the formula: ； The calculated regulation coefficient ; Among them, is a dynamic factor. When there is an intersection area between adjacent abnormal flow state influence areas of suspended packing, takes a value > the value when there is no intersection area between adjacent abnormal flow state influence areas of suspended packing; ; is the number of key marked areas, is the th key marked area, is the th area of the abnormal flow state influence area of suspended packing and ; If , then increase the aeration volume of each aeration module by Y times; is the threshold of the regulation coefficient; The specific value of Y is selected according to empirical data; If , the aeration volume of the aeration module is increased by Y times in sequence based on the priority order of the abnormal flow state influence area of the floating packing.

8. The fluid state monitoring system of suspended packing for the MBBR-based rainwater recycling process according to claim 7, characterized in that The process of determining the priority order of the suspended filler flow pattern anomaly influence areas is: Taking the suspended filler flow pattern anomaly influence areas with intersecting areas as the first-level regulation level, and arranging them in descending order according to the number of intersecting areas as the first priority order; Otherwise, obtaining the minimum distance between the two suspended filler flow pattern anomaly influence areas, and arranging them in ascending order according to the minimum distance as the second priority sequence.

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