Riverway treatment sewage ecological monitoring and purifying system

Abstract

The present application relates to the technical field of water pollution prevention and treatment, and discloses a river treatment sewage ecological monitoring and purification system, which comprises a water inflow load monitoring module, a metabolic state evaluation module, a biological reinforcement reaction module, a partitioned dosing execution module and a flow field calculation control center. The flow field calculation control center determines the real-time configuration of the fluid flow path according to the water inflow load parameters, the microbial metabolic activity data and the internal space characteristic matrix of the biological reinforcement reaction module, and drives the dosing units in the partitioned dosing execution module that coincide with the real-time configuration position to output electron acceptors. The present application uses flow channel topology mapping to realize the coordinate alignment of the dosing site and the pollution load space configuration, eliminates the mass transfer blind area caused by flow guiding interference in the treatment module, makes the electron acceptor distribution engage with the pollution main channel, avoids the substrate breakthrough caused by local drug deficiency, establishes the compensation mechanism for transient load impact, and maintains the operation stability of the purification system.

Description

Technical Field

[0001] This invention relates to an ecological monitoring and purification system for sewage in river management, belonging to the field of water pollution prevention and control technology. Background Technology

[0002] Current river water purification projects typically employ a multi-stage combined process including physical sedimentation, chemical coagulation, and biodegradation. The biodegradation unit relies on the metabolic activities of specific microbial communities to remove organic matter and nitrogen and phosphorus levels from the water. Under standard operating conditions, the daily operation of the purification system is maintained by setting static aeration parameters and reagent dosage ratios. However, river water quality exhibits dramatic dynamic fluctuations due to surface runoff and interception and storage. Existing control methods mainly rely on feedback regulation based on sensing signals at the effluent end. However, the water body has an objective hydraulic residence time within the treatment structure, resulting in a significant time lag between the sensing signal and changes in the front-end load. This regulation logic based on lag indicators means that by the time the regulation command reaches the front-end actuator, transient high-concentration pollution clusters have already occupied the core biochemical reaction zone, causing acute damage to the microbial community. The ecological recovery cycle often lasts for several days or even weeks, resulting in a continuous paralysis of the purification function within the watershed.

[0003] To address the aforementioned delays, methods such as increasing the volume of the biological treatment tank or increasing the overall dosage are typically employed to buffer the load impact. However, river management projects are constrained by the scarcity of land resources along the riverbanks and the cost of civil engineering. Furthermore, the flow deflectors and hydraulic dead zones within the structures cause severe heterogeneity in the flow field. The dosage determined by the one-dimensional total algebraic formula inevitably undergoes geometric misalignment in three-dimensional physical space, preventing effective coverage of the core pollution channels. Meanwhile, some low-velocity areas experience oxidative stress due to excessive dosage. This spatial mass transfer blind spot constitutes a physical bottleneck limiting the improvement of purification efficiency. While there has been progress in hardware architecture integration attempts, there are still limitations in the dynamic response logic to sudden changes in river flow and the heterogeneous distribution of the internal flow field. Existing technologies still have shortcomings. For example, Chinese invention patent CN110627266B discloses a wastewater purification process for lake and river treatment. It uses physical stacking of filtration, adsorption, and disinfection units and triggers fixed-time batch processing based on liquid level sensors. Although this solution achieves equipment integration, the control core is anchored to a static hydraulic retention logic preset, treating the reactor as a uniform mixing black box. It ignores the heterogeneous evolution of the three-dimensional flow field in the reactor under open river conditions and lacks a total compensation mode with spatial resolution capabilities. When faced with transient load shocks, it cannot achieve precise coordinate matching between the reagent addition point and the main pollution channel, which can easily lead to matrix penetration caused by mass transfer blind spots and biotoxicity caused by local reagent overdose.

[0004] Therefore, how to eliminate the adjustment lag caused by physical delivery delay and achieve three-dimensional coordinate alignment between the purification medium dosing array and the spatial configuration of transient pollution clusters has become the technical problem to be solved by this invention. Summary of the Invention

[0005] To address the problems mentioned in the background art, the technical solution of the present invention is as follows: A river treatment wastewater ecological monitoring and purification system, comprising: The inflow load monitoring module is used to monitor the instantaneous flow rate and chemical oxygen demand concentration at the river interception inflow section, and output inflow load parameters including flow rate data and concentration data. The metabolic status assessment module is used to collect the redox potential of the liquid phase in the sludge return path and output microbial metabolic activity data. The bio-enhanced reaction module has a physical flow control unit inside and is connected to the front end of the main biochemical treatment module. The partitioned dosing execution module is installed within the bio-enhanced reaction module. The partitioned dosing execution module includes multiple dosing units with independent spatial coordinate attributes. The flow field calculation and control center communicates with the influent load monitoring module, the metabolic state assessment module, and the zoned dosing execution module. Internally, it stores the spatial feature matrix of the bioaugmentation reaction module, which includes the geometric topology parameters of the physical flow control unit and the zoned grid coordinates. Based on the influent load parameters, microbial metabolic activity data, and geometric topology parameters, the flow field calculation and control center executes flow channel topology mapping logic to identify the fluid flow path within the bioaugmentation reaction module. Based on the real-time position configuration of the fluid flow path and the overlapping coordinates of the zoned dosing execution module, it drives the corresponding dosing unit to perform electron acceptor dosing.

[0006] Preferably, it also includes a mass transfer enhancement module, which includes a variable frequency jet execution unit and a frequency adjustment submodule that is connected to the flow field calculation and control center. The flow field calculation and control center outputs a pulse frequency command based on the local curvature change rate of the fluid path. The frequency adjustment submodule adjusts the jet frequency of the variable frequency jet execution unit to 5Hz to 20Hz based on the pulse frequency command, thereby reducing the liquid film thickness on the surface of the sludge flocs through the fluid shear force generated by the pulse jet.

[0007] Preferably, the influent load monitoring module performs logical verification based on current load and water quality data: when the influent load monitoring module detects that the drift of the water quality data signal exceeds a preset threshold, the influent load monitoring module extracts the current variation rate of the influent pump and outputs the influent load parameters according to the preset current-to-load mapping curve.

[0008] Preferably, each dosing unit in the partitioned dosing execution module is equipped with an electromagnetic proportional adjustment unit. Based on the spatial positioning results of the fluid flow path, the flow field calculation and control center sets differentiated flow weighting coefficients for dosing units under different spatial coordinate attributes.

[0009] Preferably, the flow field calculation control center executes spatial partitioning iteration logic, and improves the grid sampling accuracy through an adaptive densification algorithm in the area where the coordinates of the fluid path and the partitioning injection execution module intersect, so as to fit the heterogeneous flow field distribution generated by the interference of the physical flow control unit.

[0010] Preferably, the real-time flow of each dispensing unit satisfies the following quantization mapping rule: ,in, The real-time delivery flow rate for the i-th delivery unit; Instantaneous flow rate; The total number of currently active dosing units; Φ is a preset weight correction factor, with a value ranging from 0.8 to 1.5; Let be the fluid Reynolds number of the grid region corresponding to the i-th dosing unit.

[0011] Preferably, the variable frequency jet actuator is installed on the inner wall of the bio-enhanced reaction module, and its jet vector points to the hydraulic stagnation zone in the spatial characteristic matrix where the flow velocity is less than 0.05 m / s.

[0012] Preferably, the metabolic status assessment module is also used to monitor the sludge age and suspended solids concentration of the returned sludge, and to calculate the oxygen consumption rate index of the microbial population in combination with the oxidation-reduction potential.

[0013] Preferably, the system also includes a water quality verification module located at the end of the main biochemical treatment module. The water quality verification module monitors the step response slope of the effluent indicators and sends it as a feedback verification signal to the flow field calculation and control center to correct the flow weighting coefficient.

[0014] Preferably, the geometric topology parameters inside the flow field calculation control center are correlated in real time with the deflection angle of the physical flow control unit to compensate for the positional shift of the fluid path caused by the attitude change of the physical flow control unit.

[0015] Compared with the prior art, the beneficial effects of the present invention are: 1. In the ecological monitoring of sewage in river management, the computer-aided topology design engine transforms the influent load characteristics and substrate activity state into the boundary constraints of a three-dimensional parametric geometric model. Through dynamic meshing of the fluid concentration gradient and geometric intersection calculation of the main flow path trajectory, it achieves three-dimensional coordinate alignment between the electron acceptor targeted dosing array and the spatial configuration of transient pollution blobs. This eliminates the mass transfer blind zone caused by the interference of internal baffles or dead zones in the treatment structure under the traditional total balance mode, and enables the distribution characteristics of electron acceptors in physical space to match the main pollution channel in real time. This avoids matrix penetration caused by local reagent shortage and biological community poisoning caused by local reagent overdose.

[0016] 2. The multiphase mass transfer enhancement component uses the local geometric curvature change rate output by the computer-aided topology design engine to dynamically adjust the execution frequency of the variable frequency pulse jet. By generating high-frequency fluid shear force in the metabolic pre-excitation chamber, it destroys the hydraulic boundary layer and aged extracellular polymers on the surface of sludge flocs, shortens the diffusion path of electron acceptors to penetrate the microbial cell membrane, and enables the biological community that was originally in the metabolic adaptation period to complete the respiration intensity awakening in a shorter hydraulic residence time. This establishes an active compensation mechanism for transient shock loads and avoids the engineering cost of blindly expanding the physical volume of the biological treatment tank to improve the system's buffering capacity. Attached Figure Description

[0017] Figure 1 This is a diagram illustrating the control logic and data flow of the river treatment wastewater ecological monitoring and purification system of the present invention. Figure 2 This is an exploded diagram of the core modules and functional features of the river treatment sewage ecological monitoring and purification system of the present invention.

[0018] The objectives, features, and advantages of this invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0019] The technical solutions of the embodiments of this application will be clearly described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of this application are within the scope of protection of this application.

[0020] A wastewater ecological monitoring and purification system for river treatment includes: The inflow load monitoring module is used to monitor the instantaneous flow rate and chemical oxygen demand concentration at the river interception inflow section, and output inflow load parameters including flow rate data and concentration data. The metabolic status assessment module is used to collect the redox potential of the liquid phase in the sludge return path and output microbial metabolic activity data. The bio-enhanced reaction module has a physical flow control unit inside and is connected to the front end of the main biochemical treatment module. The partitioned dosing execution module is installed within the bio-enhanced reaction module. The partitioned dosing execution module includes multiple dosing units with independent spatial coordinate attributes. The flow field calculation and control center communicates with the influent load monitoring module, the metabolic state assessment module, and the zoned dosing execution module. Internally, it stores the spatial feature matrix of the bioaugmentation reaction module, which includes the geometric topology parameters of the physical flow control unit and the zoned grid coordinates. Based on the influent load parameters, microbial metabolic activity data, and geometric topology parameters, the flow field calculation and control center executes flow channel topology mapping logic to identify the fluid flow path within the bioaugmentation reaction module. Based on the real-time position configuration of the fluid flow path and the overlapping coordinates of the zoned dosing execution module, it drives the corresponding dosing unit to perform electron acceptor dosing.

[0021] Preferably, it also includes a mass transfer enhancement module, which includes a variable frequency jet execution unit and a frequency adjustment submodule that is connected to the flow field calculation and control center. The flow field calculation and control center outputs a pulse frequency command based on the local curvature change rate of the fluid path. The frequency adjustment submodule adjusts the jet frequency of the variable frequency jet execution unit to 5Hz to 20Hz based on the pulse frequency command, thereby reducing the liquid film thickness on the surface of the sludge flocs through the fluid shear force generated by the pulse jet.

[0022] Preferably, the influent load monitoring module performs logical verification based on current load and water quality data: when the influent load monitoring module detects that the drift of the water quality data signal exceeds a preset threshold, the influent load monitoring module extracts the current variation rate of the influent pump and outputs the influent load parameters according to the preset current-to-load mapping curve.

[0023] Preferably, each dosing unit in the partitioned dosing execution module is equipped with an electromagnetic proportional adjustment unit. Based on the spatial positioning results of the fluid flow path, the flow field calculation and control center sets differentiated flow weighting coefficients for dosing units under different spatial coordinate attributes.

[0024] Preferably, the flow field calculation control center executes spatial partitioning iteration logic, and improves the grid sampling accuracy through an adaptive densification algorithm in the area where the coordinates of the fluid path and the partitioning injection execution module intersect, so as to fit the heterogeneous flow field distribution generated by the interference of the physical flow control unit.

[0025] Preferably, the real-time flow of each dispensing unit satisfies the following quantization mapping rule: ,in, The real-time delivery flow rate for the i-th delivery unit; Instantaneous flow rate; The total number of currently active dosing units; Φ is a preset weight correction factor, with a value ranging from 0.8 to 1.5; Let be the fluid Reynolds number of the grid region corresponding to the i-th dosing unit.

[0026] Preferably, the variable frequency jet actuator is installed on the inner wall of the bio-enhanced reaction module, and its jet vector points to the hydraulic stagnation zone in the spatial characteristic matrix where the flow velocity is less than 0.05 m / s.

[0027] Preferably, the metabolic status assessment module is also used to monitor the sludge age and suspended solids concentration of the returned sludge, and to calculate the oxygen consumption rate index of the microbial population in combination with the oxidation-reduction potential.

[0028] Preferably, the system also includes a water quality verification module located at the end of the main biochemical treatment module. The water quality verification module monitors the step response slope of the effluent indicators and sends it as a feedback verification signal to the flow field calculation and control center to correct the flow weighting coefficient.

[0029] Preferably, the geometric topology parameters inside the flow field calculation control center are correlated in real time with the deflection angle of the physical flow control unit to compensate for the positional shift of the fluid path caused by the attitude change of the physical flow control unit.

[0030] Example 1: In the case of a sudden heavy rainfall causing the urban interception pipe network to overflow and flow into the river, the flow rate and chemical oxygen demand (COD) concentration at the inlet section fluctuate abruptly. The inlet load monitoring module outputs inlet load parameters containing flow rate and concentration data. Since there is an objective hydraulic residence time for the water body inside the bio-enhanced reaction module, if the sensing signal at the outlet is used for feedback regulation, the regulation command will lag behind the change in inlet load. This causes transient high-concentration pollutant clusters to occupy the main biochemical treatment module before the regulation command reaches the actuator, resulting in damage to the microbial community due to shock load.

[0031] The flow field calculation and control center receives influent load parameters and microbial metabolic activity data output from the metabolic state assessment module. It then calls upon an internally stored spatial feature matrix containing the geometric topology parameters and partitioned grid coordinates of the physical flow control unit within the bioaugmentation reaction module. Using the influent load parameters as flow boundary conditions and the microbial metabolic activity data as substrate activity boundary conditions, the center executes flow channel topology mapping logic to identify the fluid path within the bioaugmentation reaction module. Based on the real-time position configuration of the fluid path and the overlapping coordinates of each dosing unit in the partitioned dosing execution module, the center drives the corresponding dosing unit to output electron acceptors. Simultaneously, the center outputs pulse frequency commands to the mass transfer enhancement module based on the local curvature change rate of the fluid path. The frequency adjustment submodule adjusts the jet frequency of the variable frequency jet execution unit to a preset frequency between 5Hz and 20Hz based on the pulse frequency commands. The variable frequency jet execution unit generates fluid shear force to reduce the liquid film thickness on the surface of the sludge flocs, shortening the diffusion path of electron acceptors to the microbial cell membrane.

[0032] Real-time flow of each dosing unit The following quantization mapping rules must be met: ;in, Let i be the real-time delivery flow of the i-th delivery unit. This refers to the instantaneous flow rate of the incoming water. The total number of dosing units currently in the active state; Φ is a preset weight correction factor, which is 1.2 in this embodiment; The fluid Reynolds number of the grid region corresponding to the i-th dosing unit is used to transform the influent load characteristics into boundary constraints of the spatial feature matrix. The system achieves coordinate alignment between the electron acceptor dosing site and the spatial configuration of the pollution load. The distribution characteristics of the electron acceptor in physical space are matched with the main pollution channel in real time, eliminating the mass transfer blind zone caused by the interference of the physical flow control unit inside the bio-enhanced reaction module and avoiding matrix penetration caused by local reagent shortage. This method establishes a compensation mechanism for transient shock loads without expanding the physical volume of the biochemical treatment tank, and maintains the stability of the effluent indicators of the river treatment and purification system during the flow fluctuation period.

[0033] Example 2: In a configuration with 50 On the industrial pilot test platform of the bio-augmentation reaction module and its supporting main biochemical treatment module, the influent load monitoring module samples the water quality parameters of the intercepted influent section in real time. To verify the system's signal processing capability under real industrial electromagnetic environment, Gaussian random noise with a signal-to-noise ratio of 20dB was actively superimposed on the raw voltage signal collected by the sensor during the experiment. The influent chemical oxygen demand concentration was selected as the core problem variable, and low load gradients of 150mg / L, medium load gradients of 400mg / L, and high load gradients of 800mg / L were set. The sampling period of the influent load monitoring module was set to 10s. The determination of this parameter is based on balancing the accuracy of capturing transient load peak characteristics with the data processing load of the flow field calculation and control center. During the test of the sample group of this invention, the flow field calculation and control center received influent load parameters containing noise interference, and the metabolic state assessment module fed back the redox potential characteristic value of the reflux liquid. The experimental group determined the bio-augmentation reaction module through the flow channel topology mapping logic. The fluid flow trajectory within the system; when the influent load flux jumps from 10 kg / h under normal conditions to 50 kg / h under impact conditions, the dosing unit located near the three-dimensional physical coordinates (1.5, 0.8, 2.0) in the zone dosing execution module is activated; the frequency adjustment submodule adjusts the jet frequency of the variable frequency jet execution unit to 12.5 Hz; under the high load impact condition of 800 mg / L, the effluent chemical oxygen demand concentration of the sample group of this invention is maintained at 42.6 mg / L, and the removal rate is 94%. 6%; correspondingly, control group 1, which adopted a homogeneous addition method and did not have flow field imaging function, saw its effluent chemical oxygen demand concentration rise to 158.4 mg / L under the same operating conditions; control group 2, which retained only the topological imaging function but removed the mass transfer enhancement module, had an effluent chemical oxygen demand concentration of 92.3 mg / L; data comparison confirmed that the physical interlocking of the topological mapping site and the main pollution channel, together with the fluid shear force generated by the mass transfer enhancement, enabled the electron acceptor to penetrate the liquid film resistance layer on the surface of the sludge flocs.

[0034] To verify the protection range of the variable frequency jet, the experimental group conducted boundary condition verification. When the jet frequency was set to the lower limit of 5Hz, the measured liquid film thickness on the surface of the sludge flocs decreased from the initial 15.2μm to 8.4μm, and the diffusion flux of the electron acceptor increased by 35.8%. When the jet frequency was adjusted to the upper limit of 20Hz, the liquid film thickness further decreased to 4.1μm. In the out-of-range control condition where the jet frequency exceeded the upper limit by 25Hz, mechanical breakage of the activated sludge flocs in the bioaugmentation reaction module was observed, and the effluent suspended solids concentration decreased from the normal 12.5%. The concentration of saturated microorganisms (mg / L) increased sharply to 84.7 mg / L, and the redox potential exhibited abnormal jumps due to damage to the microbial floc structure. This degradation effect confirmed that 5 Hz to 20 Hz is the optimal operating range for mass transfer enhancement in this system, enabling improved mass transfer efficiency without disrupting the microbial community structure. In the operating procedure of the sample group of this invention, the system completed sensor zero-point calibration, and the flow field calculation and control center established the initial substrate activity benchmark based on the potential data fed back by the metabolic state assessment module. For different gradient load shocks, the system obtained the instantaneous influent flow rate through the influent load monitoring module. With the concentration of chemical oxygen demand in the influent And calculate the real-time pollution flux M; the formula for calculating the real-time pollution flux M is as follows: Where M is the real-time pollution flux, This refers to the instantaneous flow rate of the incoming water. To determine the influent chemical oxygen demand (COD) concentration, the flow field calculation control center compares the spatial characteristic matrix and outputs spatial projection commands. During a 720-hour continuous operation test, the system suppressed the interference of random environmental fluctuations on the control logic, and the variance of the effluent indicators remained below 5.4, confirming that the river treatment sewage ecological monitoring and purification system has a definite load-bearing capacity when dealing with the influx of nonlinear pollutants.

[0035] Acoustic Doppler current meter was used to measure the internal velocity distribution of the bio-enhanced reaction module under different flow gradients to establish the influent flow rate. velocity vector at the centroid of the grid The mapping table is pre-stored in the spatial feature matrix, where, The real-time flow rate is measured by the influent load monitoring module. To obtain the fluid velocity vector corresponding to the grid space coordinates, the flow field calculation control center obtains the instantaneous flow rate data output by the influent load monitoring module, retrieves the corresponding velocity vector distribution in the spatial feature matrix, and combines it with the influent time. With the current moment The difference is calculated by time-accumulating the velocity vector to determine the instantaneous center coordinates of the pollutant plume in three-dimensional space, converting the one-dimensional influent load signal into a three-dimensional concentration field distribution. The specific conversion logic is as follows: the flow field calculation control center acquires the instantaneous influent flow rate at a sampling frequency of 50Hz and establishes a 1024-bit annular buffer in the internal buffer area to store the load fluctuation characteristics of the past 20 seconds; the system uses the instantaneous influent flow rate as the inlet boundary condition, retrieves the 3D components of the velocity vector at the centroid of the corresponding grid in the spatial feature matrix, and uses a time integration algorithm with a step length of 10mm to calculate the X, Y, and Z spatial coordinates of the pollutant plume center at the current moment; when the influent flow rate suddenly increases from 100 cubic meters per hour to 150 cubic meters per hour, the algorithm automatically moves the instantaneous center coordinates of the pollutant plume in three-dimensional space forward by 0.5m along the main flow axis, thereby eliminating the influence of flow field heterogeneity caused by interference from the physical flow control unit inside the bio-enhanced reaction module on concentration prediction; the diffusion radius of each dosing unit at different jet frequencies f is calibrated. Establish a topological mapping relationship between the physical coordinates of the injection unit and the coordinates of the partitioned grid, where f is the pulse frequency of the variable frequency jet execution unit. To determine the critical spatial radius for electron acceptor diffusion and maintenance of biochemical reactivity at this frequency, after determining the instantaneous center coordinates of the contaminant plume, the Euclidean distance between the physical coordinates of the dosing unit and the instantaneous center coordinates of the contaminant plume was calculated. When Euclidean distance Smaller than the diffusion radius When the dosing unit switches to the active state, the electromagnetic proportional adjustment unit sets a differentiated flow weighting coefficient for the dosing unit in the active state. ;in, The flow weight of the i-th delivery unit varies with the Euclidean distance. By increasing or decreasing the size of the electron acceptor, the spatial distribution characteristics of the electron acceptor are aligned with the physical configuration of the contaminant cluster.

[0036] Example 3: To ensure the system's operational stability as river physical conditions evolve, the flow field calculation and control center establishes a dynamic calibration procedure for the spatial characteristic matrix. When the physical diversion control unit within the bio-enhanced reaction module experiences siltation or excessive biofilm proliferation due to long-term operation, causing the cross-sectional geometry to drift, the system uses a differential pressure transmitter to collect the water level difference ΔH before and after the physical diversion control unit and calculates the real-time local resistance coefficient. Where ζ is the local drag coefficient, g is the gravitational acceleration, ΔH is the water level difference, and v is the flow velocity. The flow field calculation control center performs topological deformation correction on the internally stored three-dimensional parametric geometric model based on the local drag coefficient, reconstructs the partitioned grid coordinates and generates an updated spatial feature matrix, thereby compensating for the flow path offset caused by changes in physical structure and ensuring that the fluid flow trajectory calculated subsequently can truly reflect the current flow field distribution law.

[0037] In the parameter calibration procedure for the variable frequency jet actuator, the mass transfer enhancement module uses the slope of the redox potential change fed back by the metabolic state assessment module. The pulse frequency command is determined; the system pre-establishes a characteristic frequency mapping table for different sludge concentrations, and the frequency adjustment submodule reads the sludge concentration parameter MLSS in real time; if Below the preset activity threshold And if the influent load flux is at its rising edge, then the jet frequency f is determined according to... The linear rule is corrected upwards; where f is the output jet frequency. The reference frequency is α, the sensitivity coefficient is α, and MLSS is the real-time sludge concentration. The standard sludge concentration is used to dynamically adjust the fluid shear force intensity through this calibration procedure, so as to maintain the consistency of the liquid film thinning effect under the condition of sludge concentration fluctuation and avoid the risk of metabolic pre-activation failure due to insufficient mass transfer efficiency.

[0038] The influent load monitoring module executes a logic verification procedure based on current load and water quality data to prevent sensor failure risks; the instantaneous influent flow rate is monitored when the operating current I of the intercepting influent section pump station is within the rated range. The flow rate remains below the preset lower limit for five consecutive sampling periods. When the system determines that the flow sensor is blocked or drifting, the flow field calculation and control center automatically switches to virtual sensing mode, calls the load feature vector under the same water level conditions in the historical database to replace the real-time sampled value in the flow channel topology mapping calculation, and sends a sensor maintenance work order to the management terminal. This closed-loop calibration mechanism based on physical parameter feedback eliminates the technical uncertainties introduced by sensor aging and the evolution of the reactor's physical structure, so that the spatial topology matrix output by the flow field calculation and control center is always anchored within the current real physical boundary, realizing the engineering leap of the purification system from single parameter adjustment to global structural perception and logical self-healing.

[0039] Example 4: During the initial commissioning phase before the system is put into operation for river treatment, the metabolic state assessment module acquires the activity sampling data of activated sludge in the return path. The system maintains continuous circulation of the return liquid for 24 hours without substrate addition and collects time-series data of oxidation-reduction potential. The flow field calculation control center extracts the potential change curve over time and calculates the first derivative. ,in, The redox potential is the rate of change over time. The system identifies the inflection point where the first derivative changes from a negative value to approach zero, and determines the potential value corresponding to this inflection point as the physical characteristic value of the endogenous respiration stage. Based on this, the initial substrate activity benchmark of the metabolic pre-excitation chamber under rated operating conditions is set. ,in, This serves as the initial substrate activity benchmark, providing a logical reference for subsequent calculation of electron acceptor dosage based on influent load flux characteristics.

[0040] When the system is deployed in a bio-enhanced reaction module with internal asymmetric flow guide baffles or physically discrete components, the flow field calculation control center executes a partitioning calibration procedure for the three-dimensional parametric geometric model. The system acquires the physical coordinate point cloud data of the physical flow guide control unit, imports the physical coordinate point cloud data into the flow field calculation control center, and converts it into a flow channel topology model containing geometric boundary constraints. Within the generated flow channel topology model, a hexahedral mesh is divided, and the centroid coordinates of each mesh element are stored in a spatial feature matrix. The flow field calculation control center then calculates the local Reynolds number of the mesh element. The main pollution channel area was densified, among which, The system determines the correspondence between physical structures and discrete digital matrices, and the discrete geometric anchor point coordinates of each dosing unit in the partitioned dosing execution module are aligned and matched with the fluid flow path trajectory in three-dimensional space.

[0041] Example 5: In a bio-enhanced reaction module with an asymmetric geometric configuration, the flow field solution control center executes a local mesh adaptive refinement procedure for the spatial characteristic matrix; the flow field solution control center retrieves the three-dimensional parametric geometric model of the bio-enhanced reaction module and calculates the pressure gradient ∇P and velocity vector of each mesh cell based on the preset mesh. The system is based on the formula. The local mesh refinement factor λ is determined; where λ is the local mesh refinement factor, ∇P is the pressure gradient, L is the characteristic length of the physical flow control unit, ρ is the fluid density, and v is the local characteristic velocity. If the system determines that λ is greater than the mesh update threshold of 0.15, then octree partitioning is performed on the corresponding mesh cell until the mesh side length is reduced to the minimum size limit of 20mm, thereby generating a spatial feature matrix containing local flow field details.

[0042] In the node correlation matrix generation procedure of the partitioned dosing execution module, the system collects the initial mechanical response delay τ of each variable frequency jet execution unit in the mass transfer enhancement module; where τ is the initial mechanical response delay, the flow field calculation control center performs spatiotemporal alignment correction on the spatial dosing topology matrix based on the initial mechanical response delay τ; the flow field calculation control center calculates the effective diffusion radius of each dosing unit. Effective diffusion radius The calculation formula is as follows: ;in, For the effective diffusion radius, Let μ be the mass transfer diffusion coefficient, μ be the fluid dynamic viscosity, ρ be the fluid density, and f be the real-time jet frequency of the variable frequency jet actuator. System comparison. The Euclidean distance to the centroid coordinates of the partitioned grid, and the Euclidean distance is less than Weighting coefficients for grid cells Set to 1; where, As a weighting factor, this calibration process establishes the association weight between discrete dosing nodes and the physical flow field grid, enabling the partitioned dosing execution module to achieve physical alignment with the spatial location characteristics of transient contaminant plumes after receiving the dosing command.

[0043] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0044] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A wastewater ecological monitoring and purification system for river treatment, characterized in that, include: The inflow load monitoring module is used to monitor the instantaneous flow rate and chemical oxygen demand concentration at the river interception inflow section, and output inflow load parameters including flow rate data and concentration data. The metabolic status assessment module is used to collect the redox potential of the liquid phase in the sludge return path and output microbial metabolic activity data. The bio-enhanced reaction module has a physical flow control unit inside and is connected to the front end of the main biochemical treatment module. The partitioned dosing execution module is installed within the bio-enhanced reaction module. The partitioned dosing execution module includes multiple dosing units with independent spatial coordinate attributes. The flow field calculation and control center communicates with the influent load monitoring module, the metabolic state assessment module, and the zoned dosing execution module. Internally, it stores the spatial feature matrix of the bioaugmentation reaction module, which includes the geometric topology parameters of the physical flow control unit and the zoned grid coordinates. Based on the influent load parameters, microbial metabolic activity data, and geometric topology parameters, the flow field calculation and control center executes flow channel topology mapping logic to identify the fluid flow path within the bioaugmentation reaction module. Based on the real-time position configuration of the fluid flow path and the overlapping coordinates of the zoned dosing execution module, it drives the corresponding dosing unit to perform electron acceptor dosing.

2. The river treatment wastewater ecological monitoring and purification system according to claim 1, characterized in that, It also includes a mass transfer enhancement module, which includes a variable frequency jet execution unit and a frequency adjustment submodule that communicates with the flow field calculation and control center; the flow field calculation and control center outputs pulse frequency commands based on the local curvature change rate of the fluid path. The frequency adjustment submodule adjusts the jet frequency of the variable frequency jet execution unit to 5Hz to 20Hz according to the pulse frequency command, and reduces the liquid film thickness on the surface of the sludge flocs by the fluid shear force generated by the pulse jet.

3. The river treatment wastewater ecological monitoring and purification system according to claim 1, characterized in that, The influent load monitoring module performs logical verification based on current load and water quality data: when the influent load monitoring module detects that the drift of the water quality data signal exceeds the preset threshold, the influent load monitoring module extracts the current variation rate of the influent pump and outputs the influent load parameters according to the preset current-to-load mapping curve.

4. The river treatment wastewater ecological monitoring and purification system according to claim 1, characterized in that, Each dosing unit in the zoned dosing execution module is equipped with an electromagnetic proportional adjustment unit. Based on the spatial positioning results of the fluid flow path, the flow field calculation and control center sets differentiated flow weighting coefficients for dosing units under different spatial coordinate attributes.

5. The river treatment wastewater ecological monitoring and purification system according to claim 1, characterized in that, The flow field calculation control center executes spatial partitioning iterative logic. In the area where the coordinates of the fluid path and the partitioning injection execution module intersect, an adaptive densification algorithm is used to improve the grid sampling accuracy in order to fit the heterogeneous flow field distribution generated by the interference of the physical flow control unit.

6. The river treatment wastewater ecological monitoring and purification system according to claim 4, characterized in that, The real-time flow of each application unit satisfies the following quantization mapping rules: ,in, The real-time delivery flow rate for the i-th delivery unit; Instantaneous flow rate; The total number of currently active dosing units; Φ is a preset weight correction factor, with a value ranging from 0.8 to 1.5; Let be the fluid Reynolds number of the grid region corresponding to the i-th dosing unit.

7. The river treatment wastewater ecological monitoring and purification system according to claim 2, characterized in that, The variable frequency jet actuator is installed on the inner wall of the bio-enhanced reaction module, and its jet vector points to the hydraulic stagnation zone with a flow velocity of less than 0.05 m / s in the spatial characteristic matrix.

8. The river treatment wastewater ecological monitoring and purification system according to claim 1, characterized in that, The metabolic status assessment module is also used to monitor the sludge age and suspended solids concentration of the returned sludge, and to calculate the oxygen consumption rate index of the microbial population in combination with the oxidation-reduction potential.

9. The river treatment wastewater ecological monitoring and purification system according to claim 1, characterized in that, The system also includes a water quality verification module located at the end of the main biochemical treatment module. The water quality verification module monitors the step response slope of the effluent indicators and sends it as a feedback verification signal to the flow field calculation and control center to correct the flow weighting coefficient.

10. The river treatment wastewater ecological monitoring and purification system according to claim 1, characterized in that, The geometric topology parameters inside the flow field calculation control center are correlated in real time with the deflection angle of the physical flow control unit to compensate for the positional shift of the fluid path caused by the attitude change of the physical flow control unit.

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