Aeration control method and system based on water inflow impact intensity identification and zoning compensation

Abstract

The application discloses an aeration control method and system based on water inflow impact intensity identification and partition compensation and belongs to the technical field of automatic control of sewage treatment. The application collects the change rate of the oxidation-reduction potential of an aerobic zone and the change rate of the ammonia nitrogen concentration of water inflow in real time, and calculates a water inflow impact intensity index by weighting. According to the impact intensity, three grades of dynamic switching control strategies are divided: low impact adopts conventional feedforward-feedback compound control, medium impact enhances feedforward compensation and weakens feedback weight, high impact shields feedback and executes pure feedforward control; and when the impact intensity falls back, the conventional control is automatically restored. The application solves the problem of aeration system oscillation caused by the DO detection lag under strong impact load, improves the stability of sewage treatment, reduces the aeration energy consumption, and is suitable for the regulation and control of aeration systems in various sewage treatment plants.

Description

Technical Field

[0001] This invention relates to the field of automatic control technology for wastewater treatment, and in particular to an aeration control method and system based on influent impact intensity identification and zonal compensation. Background Technology

[0002] The aeration system in the aerobic tank of a wastewater treatment plant is the core energy-consuming unit, accounting for 50% to 70% of the total energy consumption of wastewater treatment. Current aeration control generally adopts a feedforward-feedback composite control method: the basic aeration volume is estimated by feedforward based on influent load and flow rate, and then feedback correction is performed based on the measured dissolved oxygen (DO) value. This method shows good control performance under stable influent water quality and quantity conditions. However, actual wastewater influent is often affected by rainy seasons, industrial discharges, and pipeline fluctuations, resulting in drastic fluctuations in shock loads. Dissolved oxygen (DO) sensors have detection lag; under strong shock conditions, feedback adjustment cannot respond in time, leading to frequent fluctuations in aeration volume and frequent valve start-stops. This not only results in high energy consumption but also causes fluctuations in effluent water quality and accelerated equipment wear. Current technologies lack a scheme that can dynamically switch control strategies according to the intensity of influent shocks, failing to achieve stable operation under low shocks, advance compensation under medium shocks, and avoidance of feedback lag defects under high shocks. This results in weak shock resistance and insufficient control stability of the aeration system. Summary of the Invention

[0003] Purpose of the invention: To address the above-mentioned problems, the purpose of this invention is to provide an aeration control method and system based on influent impact intensity identification and zone compensation, which avoids system oscillation problems caused by DO detection lag, improves aeration control stability, and reduces energy consumption and equipment wear.

[0004] Technical solution: An aeration control method based on influent impact intensity identification and zone compensation, comprising the following steps:

[0005] S1: Real-time data acquisition;

[0006] The oxidation-reduction potential change rate ΔORP / Δt and the influent ammonia nitrogen concentration change rate ΔNH3 / Δt in the aerobic zone are collected in real time, with a collection period of 1 to 5 minutes. The collected data are processed, and the collection time of ΔORP / Δt and ΔNH3 / Δt is kept synchronized within the same control cycle.

[0007] S2: Calculate the impact strength index;

[0008] The influent impact intensity index is calculated using a weighted summation method:

[0009] Impact strength index = α×(ΔORP / Δt) + β×(ΔNH3 / Δt);

[0010] Wherein, α and β are preset weighting coefficients, satisfying α+β=1, used to balance the characterization weights of redox potential and ammonia nitrogen on the impact of influent.

[0011] S3: Set the partition switching control strategy;

[0012] When the impact strength index is less than the first threshold, it is set to the first level, and conventional feedforward-feedback composite control is executed.

[0013] When the first threshold is less than or equal to the impact intensity index and less than the second threshold, it is set to the second level, which increases the feedforward compensation and reduces the feedback integral weight to prepare for load increases in advance.

[0014] When the impact strength index is greater than or equal to the second threshold, it is set to the third level, feedback control is disabled, and only pure open-loop feedforward control is executed.

[0015] The first threshold and the second threshold are calibrated through on-site tests based on the actual influent conditions of the wastewater treatment plant.

[0016] S4: Operating condition fallback control mode, step-by-step fallback;

[0017] When the impact intensity index falls:

[0018] If the impact intensity index falls from the third level back to the second level, the feedback loop is restored and the integral weight remains in a decreasing state.

[0019] If the impact intensity index drops from the second level to the first level, switch to the first level control mode in S3.

[0020] Furthermore, in step S1, the oxidation-reduction potential is measured in real time by an ORP sensor. ΔORP / Δt is obtained by dividing the difference between the current sampling value and the sampling value of the previous cycle by the sampling cycle. The ORP sensor is installed in the middle section of the aerobic tank and is immersed in the mixed solution.

[0021] The influent ammonia nitrogen concentration is measured in real time using an online ammonia nitrogen analyzer. ΔNH3 / Δt is obtained by dividing the difference between the current sampling value and the sampling value of the previous cycle by the sampling cycle.

[0022] Furthermore, in step S1, the acquired raw signal is first processed by a first-order low-pass filter to remove high-frequency noise. The filtering time constant is taken as 1 / 3 to 1 / 2 of the sampling period. The filtered data is used to calculate the rate of change.

[0023] Furthermore, in step S3, a feedforward enhancement coefficient Kf is introduced, with a value ranging from 1.2 to 1.8, and exhibiting a linear relationship with the impact strength exponent.

[0024] Kf = 1.2 + (1.8 - 1.2) × (Impact Strength Index - First Threshold) / (Second Threshold - First Threshold);

[0025] Introducing an integral decay factor γ, when performing conventional feedforward-feedback composite control, Kf=1.0, γ=1.0;

[0026] The final aeration output of a conventional feedforward-feedback composite control is:

[0027] Q_output = Q_feedforward + Q_feedback;

[0028] Where Q_feedforward is the base aeration rate calculated by the feedforward model, and Q_feedback is the correction rate calculated by the PID controller.

[0029] Ideally, when in the second gear state, the integral coefficient Ki in the PID controller should be attenuated:

[0030] Ki' = γ × Ki;

[0031] γ = 0.7 - (0.7 - 0.3) × (impact strength index - first threshold) / (second threshold - first threshold);

[0032] The value of γ ranges from 0.3 to 0.7. The stronger the impact, the smaller the value of γ and the lower the integral weight.

[0033] Optimal, when in the third setting, the final aeration output is:

[0034] Q_output = Kf_max × Q_feedforward;

[0035] The value of Kf_max is the calculated value of Kf when the impact strength index is equal to the second threshold, i.e., Kf_max = 1.8.

[0036] Ideally, if a greater feedforward enhancement is required in actual operating conditions, the upper limit of Kf_max can be adjusted to 2.0. At this point, the feedback loop is completely disconnected, and the system operates in a pure open-loop feedforward mode, unaffected by the DO hysteresis signal.

[0037] Furthermore, in step S3, ΔORP / Δt and ΔNH3 / Δt data are continuously collected under normal and shock conditions at the wastewater treatment plant to be controlled. Using the start-stop frequency of the aeration volume regulating valve and the fluctuation range of dissolved oxygen concentration as criteria, different threshold combinations are iterated, and the dividing point that minimizes the oscillation amplitude of the aeration system is selected as the first threshold and the second threshold.

[0038] An aeration control system employing the above-mentioned aeration control method based on influent impact intensity identification and zoning compensation includes a data acquisition module, an impact intensity calculation module, a zoning control decision module, and an aeration volume execution module.

[0039] The data acquisition module includes an ORP sensor installed in the middle section of the aerobic tank, an online ammonia nitrogen analyzer installed at the inlet of the aerobic tank, and a dissolved oxygen (DO) sensor installed at the end of the aerobic tank, used to collect ΔORP / Δt and ΔNH3 / Δt in real time;

[0040] The impact strength calculation module is connected to the data acquisition module, receives ORP and ammonia nitrogen data, and calculates the impact strength index.

[0041] The zone control decision module is connected to the impact intensity calculation module. It compares the impact intensity index with the preset threshold and outputs control mode commands, feedforward enhancement coefficients and integral attenuation factors.

[0042] The aeration volume execution module is connected to the zone control decision module and includes a frequency converter and an electric regulating valve for performing aeration volume regulation.

[0043] Ideally, the impact strength calculation module and the zone control decision module are deployed in the same programmable logic controller (PLC), and each sensor is connected to the PLC controller via a 4-20mA analog signal or an RS485 digital signal.

[0044] Beneficial effects: Compared with the prior art, the advantages of the present invention are:

[0045] 1. This invention identifies the influent impact intensity by using the change rate of two parameters, ORP and ammonia nitrogen, and dynamically switches the control strategy in three levels. Under strong impact conditions, it shields the hysteresis feedback, alleviates the oscillation of the aeration system, and improves the stability of the effluent water quality.

[0046] 2. This can be achieved using the existing online instruments and PLC controller system of the sewage treatment plant, without the need for additional hardware modifications, resulting in low modification costs;

[0047] 3. The method of the present invention was verified using the International Water Association BSM1 benchmark simulation model. The results show that, compared with the traditional feedforward-feedback composite control, the present method can shorten the duration of dissolved oxygen exceeding the standard by more than 35%, reduce the operating frequency of the aeration regulating valve by about 20%, help reduce the power consumption of the aeration unit, and reduce the maintenance frequency of valves and other actuators. Attached Figure Description

[0048] Figure 1 This is a flowchart illustrating the overall process of this invention.

[0049] Figure 2 This is a schematic diagram illustrating the principle of calculating the impact strength index of this invention.

[0050] Figure 3 This is a schematic diagram of the three-level control zone switching of the present invention;

[0051] Figure 4 This is a schematic diagram of the system connections for the control system. Detailed Implementation

[0052] The present invention will be further illustrated below with reference to the accompanying drawings and specific embodiments. It should be understood that these embodiments are for illustrative purposes only and are not intended to limit the scope of the invention.

[0053] An aeration control method based on influent impact intensity identification and zone compensation, such as Figures 1-3 As shown, it includes the following steps:

[0054] S1: Real-time data acquisition:

[0055] The data acquisition cycle can be flexibly set according to the actual operation of the wastewater treatment plant and the hardware configuration of the control system, ranging from 1 to 5 minutes. For scenarios with frequent water quality fluctuations and high requirements for response speed, a setting of 1 minute is preferred; for scenarios with relatively stable water quality and high requirements for system computational load, a setting of 3 to 5 minutes is acceptable. Within the same control cycle, the acquisition times of ΔORP / Δt and ΔNH3 / Δt are kept synchronized.

[0056] Data was collected using the following online instruments:

[0057] (1) ORP sensor 101: Installed in the middle section of the aerobic tank and immersed in the mixed solution, it is used to measure the redox potential in real time. ΔORP / Δt is obtained by dividing the difference between the current sampled value and the sampled value of the previous period by the sampling period.

[0058] (2) Ammonia nitrogen online analyzer 102: installed at the inlet of the aerobic tank, used to measure the ammonia nitrogen concentration in the influent in real time. ΔNH3 / Δt is obtained by dividing the difference between the current sampling value and the sampling value of the previous cycle by the sampling cycle.

[0059] The data preprocessing method is as follows: the acquired raw signal first undergoes a first-order low-pass filter to remove high-frequency noise, with the filter time constant set to 1 / 3 to 1 / 2 of the sampling period. For example, when the sampling period is 1 minute, the filter time constant is set to 20-30 seconds. The filtered data is then used to calculate the rate of change.

[0060] S2: Calculate the impact strength index:

[0061] The influent impact intensity index is calculated using a weighted summation method. The calculation formula is as follows:

[0062] Impact strength index = α×(ΔORP / Δt) + β×(ΔNH3 / Δt);

[0063] Where α and β are preset weighting coefficients, satisfying α+β=1, used to balance the weighting of redox potential and ammonia nitrogen on the impact of influent.

[0064] S3: Partition switching control strategy:

[0065] In conventional feedforward-feedback composite control, the final aeration output is:

[0066] Q_output = Q_feedforward + Q_feedback

[0067] Where Q_feedforward is the base aeration rate calculated by the feedforward model, and Q_feedback is the correction amount calculated by the feedback controller (PID).

[0068] (1) When the impact strength index is less than the first threshold, conventional feedforward-feedback composite control is executed, Kf=1.0, γ=1.0.

[0069] (2) When the first threshold ≤ impact intensity index < the second threshold, the feedforward compensation is increased and the feedback integral weight is reduced. The specific method is as follows:

[0070] A feedforward enhancement factor Kf is introduced, with a value ranging from 1.2 to 1.8, and it exhibits a linear relationship with the impact strength exponent.

[0071] Kf = 1.2 + (1.8 - 1.2) × (Impact Strength Index - First Threshold) / (Second Threshold - First Threshold);

[0072] Introducing an integral attenuation factor γ (0 < γ < 1) to attenuate the integral coefficient Ki in the PID controller:

[0073] Ki' = γ×Ki;

[0074] γ = 0.7 - (0.7 - 0.3) × (impact strength index - first threshold) / (second threshold - first threshold);

[0075] The value of γ ranges from 0.3 to 0.7. The stronger the impact, the smaller the value of γ and the lower the integral weight.

[0076] (3) When the impact strength index is greater than or equal to the second threshold, the feedback control is disabled, and only pure open-loop feedforward control is executed:

[0077] Q_output = Kf_max × Q_feedforward

[0078] Kf_max is the calculated value of the Kf formula when the impact strength exponent equals the second threshold, i.e., Kf_max = 1.8. If a larger feedforward enhancement is required in actual working conditions, the upper limit of Kf_max can be adjusted to 2.0. At this time, the feedback loop is completely disconnected, and the system operates in a pure open-loop feedforward mode, unaffected by the DO hysteresis signal.

[0079] The first and second thresholds are calibrated through on-site tests based on the actual influent conditions of the wastewater treatment plant.

[0080] S4: Automatic recovery from operating condition decline:

[0081] When the impact intensity index declines, the recovery of the control mode follows the principle of "gradual decline":

[0082] (1) When the impact intensity index falls from ≥ the second threshold to between the first threshold and the second threshold, the feedback loop is restored, but the integral weight is still in a decreasing state (γ=0.3-0.7), the feedforward enhancement coefficient Kf remains at the corresponding value, and the system switches from "pure open-loop feedforward" back to "moderate impact control mode";

[0083] (2) When the impact intensity index falls further below the first threshold, Kf recovers to 1.0, γ recovers to 1.0, and the system completely switches back to the conventional feedforward-feedback composite control mode.

[0084] The step-down mechanism avoids system jitter caused by frequent switching of control modes at threshold boundaries.

[0085] like Figure 3 As shown, the control system of the present invention includes:

[0086] (1) Data acquisition module 100: includes an ORP sensor 101 (range -2000mV to +2000mV, accuracy ±1mV) installed in the middle section of the aerobic tank, an online ammonia nitrogen analyzer 102 (range 0-100mg / L, accuracy ±0.1mg / L) installed at the inlet of the aerobic tank, and a dissolved oxygen (DO) sensor 103 (range 0-20mg / L, accuracy ±0.1mg / L) installed at the end of the aerobic tank. Each sensor is connected to the PLC controller 500 via a 4-20mA analog signal or an RS485 digital signal.

[0087] (2) Impact strength calculation module 200: Deployed in PLC controller 500, it receives ORP and ammonia nitrogen data from data acquisition module 100, performs first-order low-pass filtering preprocessing, calculates the rate of change, and calculates the impact strength index according to the weighted summation formula.

[0088] (3) Zone control decision module 300: Deployed in PLC controller 500, it compares the impact intensity index with the preset first threshold and second threshold, and outputs the current control mode command, feedforward enhancement coefficient Kf and integral attenuation factor γ.

[0089] (4) Aeration volume execution module 400: includes frequency converter 401, aeration blower and electric regulating valve 402, receives control signal output from PLC controller 500 and adjusts aeration volume.

[0090] The signal transmission relationship between the modules is as follows: data acquisition module 100 → impact intensity calculation module 200 → zone control decision module 300 → aeration volume execution module 400, forming a complete closed-loop control link.

[0091] The invention will be further illustrated below with specific examples.

[0092] Example 1:

[0093] In this embodiment, the data acquisition period is set to 1 minute; the weighting coefficients α=0.5 and β=0.5.

[0094] The first and second thresholds were calibrated as follows: ΔORP / Δt and ΔNH3 / Δt data were continuously collected for 7 days under normal and shock conditions at the wastewater treatment plant under control. Stable operation was judged by the aeration volume regulating valve starting and stopping ≤3 times within 30 minutes and dissolved oxygen concentration fluctuation ≤0.5 mg / L. Different threshold combinations were iterated (step size 0.05), and the optimal cutoff point that minimized the oscillation amplitude of the aeration system was selected. After calibration, in this example, the first threshold was set to 0.3, and the second threshold to 0.7.

[0095] The control process is as follows:

[0096] Real-time acquisition of ΔORP / Δt and ΔNH3 / Δt within 1 minute;

[0097] The impact strength index is calculated using the formula: Index = 0.5 × ΔORP / Δt + 0.5 × ΔNH3 / Δt;

[0098] Implement partition control strategies based on the index:

[0099] When the impact strength index is <0.3, conventional feedforward-feedback composite control is executed;

[0100] When 0.3 ≤ impact strength index < 0.7, the feedforward compensation is increased, and the integral weight of the feedback control is reduced to 50% of the normal value;

[0101] When the impact strength index is ≥0.7, feedback control is completely shielded, and only pure open-loop feedforward control is executed;

[0102] When the impact intensity index falls below 0.7, the feedback control is automatically restored, switching back to the normal control mode.

[0103] The above case was verified, and the verification process is as follows:

[0104] (1) Simulation platform setup: The BSM1 benchmark simulation model released by the International Water Association was called in the MATLAB / Simulink environment. The BSM1 model includes 5 biochemical reaction tanks and 1 secondary sedimentation tank, of which tanks 3 and 4 are aerobic tanks and are equipped with an aeration system. The influent data of the model adopts the BSM1 standard dry season dynamic influent file (including parameters such as influent flow rate, COD, and ammonia nitrogen for 14 days, with a sampling interval of 15 minutes).

[0105] (2) Deployment of control algorithm: The control algorithm of this invention is deployed at the aeration control interface of the BSM1 model, and a set of traditional feedforward-feedback composite control algorithm is deployed in parallel as a control group. The feedforward model parameters and PID parameters of the two algorithms are set in the same way, only the control strategies are different.

[0106] (3) Impact condition simulation: In the influent data on the 7th day, the influent ammonia nitrogen concentration was multiplied by 3 based on the original value and continued for 6 hours to simulate the influent impact load caused by rainstorm.

[0107] (4) Evaluation indicators: The cumulative time when the dissolved oxygen concentration deviates from the target value (2.0 mg / L) by more than ±15% is used as the "DO exceeding the standard time" indicator; two changes in the aeration volume adjustment signal with opposite directions and amplitudes exceeding 10% are recorded as one "regulating valve action", and the total number of actions is counted.

[0108] (5) Results: The simulation was repeated 10 times under the above conditions and the average value was taken. The results show that the DO exceedance time of the method of the present invention is shortened by an average of 35.6% compared with the traditional method, the number of regulating valve actions is reduced by an average of 19.8%, and no aeration oscillation phenomenon occurs during the impact period.

[0109] Example 2:

[0110] The difference between this embodiment and Embodiment 1 is as follows: the data acquisition cycle is set to 3 minutes; the weighting coefficients α=0.6 and β=0.4; and the first threshold is 0.4 and the second threshold is 0.8, calibrated through field tests. When the impact intensity index is between 0.4 and 0.8, the integral weight of the feedback control is reduced to 30% of the conventional value; when the index is ≥0.8, the feedback is completely shielded. Other steps are the same as in Embodiment 1. Simulation results show that this method can also effectively suppress aeration oscillations, and the duration of DO exceedance and the number of regulating valve actions are both better than the traditional method.

[0111] This invention identifies the intensity of influent impact load in real time and dynamically switches the aeration control strategy in three levels to avoid system oscillation caused by DO detection lag, thereby improving aeration control stability and reducing energy consumption and equipment wear.

Claims

1. An aeration control method based on influent impact intensity identification and zone compensation, characterized in that... Includes the following steps: S1: Real-time data acquisition; The oxidation-reduction potential change rate ΔORP / Δt and the influent ammonia nitrogen concentration change rate ΔNH3 / Δt in the aerobic zone are collected in real time, with a collection period of 1 to 5 minutes. The collected data are processed, and the collection time of ΔORP / Δt and ΔNH3 / Δt is kept synchronized within the same control cycle. S2: Calculate the impact strength index; The influent impact intensity index is calculated using a weighted summation method: Impact strength index = α×(ΔORP / Δt) + β×(ΔNH3 / Δt); Wherein, α and β are preset weighting coefficients, satisfying α+β=1, used to balance the characterization weights of redox potential and ammonia nitrogen on the impact of influent. S3: Set the partition switching control strategy; When the impact strength index is less than the first threshold, it is set to the first level, and conventional feedforward-feedback composite control is executed. When the first threshold is less than or equal to the impact intensity index and less than the second threshold, it is set to the second level, which increases the feedforward compensation and reduces the feedback integral weight to prepare for load increases in advance. When the impact strength index is greater than or equal to the second threshold, it is set to the third level, feedback control is disabled, and only pure open-loop feedforward control is executed. The first threshold and the second threshold are calibrated through on-site tests based on the actual influent conditions of the wastewater treatment plant. S4: Operating condition fallback control mode, step-by-step fallback; When the impact intensity index falls: If the impact intensity index falls from the third level back to the second level, the feedback loop is restored and the integral weight remains in a decreasing state. If the impact intensity index drops from the second level to the first level, switch to the first level control mode in S3.

2. The aeration control method based on influent impact intensity identification and zonal compensation according to claim 1, characterized in that, In step S1, the redox potential is measured in real time by an ORP sensor. ΔORP / Δt is obtained by dividing the difference between the current sampling value and the sampling value of the previous cycle by the sampling cycle. The ORP sensor is installed in the middle section of the aerobic tank and is immersed in the mixed solution. The influent ammonia nitrogen concentration is measured in real time using an online ammonia nitrogen analyzer. ΔNH3 / Δt is obtained by dividing the difference between the current sampling value and the sampling value of the previous cycle by the sampling cycle.

3. The aeration control method based on influent impact intensity identification and zonal compensation according to claim 1, characterized in that, In step S1, the acquired raw signal is first processed by a first-order low-pass filter to remove high-frequency noise. The filtering time constant is taken as 1 / 3 to 1 / 2 of the sampling period. The filtered data is used to calculate the rate of change.

4. The aeration control method based on influent impact intensity identification and zonal compensation according to claim 1, characterized in that, In step S3, a feedforward enhancement coefficient Kf is introduced. The value of Kf ranges from 1.2 to 1.8 and has a linear relationship with the impact strength exponent. Kf = 1.2 + (1.8 - 1.2) × (Impact Strength Index - First Threshold) / (Second Threshold - First Threshold); Introducing an integral decay factor γ, when performing conventional feedforward-feedback composite control, Kf=1.0, γ=1.0; The final aeration output of a conventional feedforward-feedback composite control is: Q_output = Q_feedforward + Q_feedback; Where Q_feedforward is the base aeration rate calculated by the feedforward model, and Q_feedback is the correction rate calculated by the PID controller.

5. The aeration control method based on influent impact intensity identification and zonal compensation according to claim 4, characterized in that, When in the second gear state, the integral coefficient Ki in the PID controller is attenuated: Ki' = γ × Ki; γ = 0.7 - (0.7 - 0.3) × (impact strength index - first threshold) / (second threshold - first threshold); The value of γ ranges from 0.3 to 0.

7. The stronger the impact, the smaller the value of γ and the lower the integral weight.

6. The aeration control method based on influent impact intensity identification and zonal compensation according to claim 4, characterized in that, When in the third setting, the final aeration output is: Q_output = Kf_max × Q_feedforward; The value of Kf_max is the calculated value of Kf when the impact strength index is equal to the second threshold, i.e., Kf_max = 1.

8.

7. The aeration control method based on influent impact intensity identification and zonal compensation according to claim 6, characterized in that: If a greater feedforward enhancement is required in actual operating conditions, the upper limit of Kf_max can be adjusted to 2.

0. At this time, the feedback loop is completely disconnected, and the system operates in a pure open-loop feedforward mode, unaffected by the DO hysteresis signal.

8. The aeration control method based on influent impact intensity identification and zonal compensation according to claim 1, characterized in that: In step S3, ΔORP / Δt and ΔNH3 / Δt data are continuously collected under normal and shock conditions at the wastewater treatment plant to be controlled. Using the start-stop frequency of the aeration volume regulating valve and the fluctuation range of dissolved oxygen concentration as criteria, different threshold combinations are traversed, and the dividing point that minimizes the oscillation amplitude of the aeration system is selected as the first threshold and the second threshold.

9. An aeration control system employing the aeration control method based on influent impact intensity identification and zoning compensation as described in any one of claims 1 to 8, characterized in that: It includes a data acquisition module (100), an impact intensity calculation module (200), a zone control decision module (300), and an aeration volume execution module (400). The data acquisition module (100) includes an ORP sensor (101) installed in the middle section of the aerobic tank, an online ammonia nitrogen analyzer (102) installed at the inlet of the aerobic tank, and a dissolved oxygen (DO) sensor (103) installed at the end of the aerobic tank, for real-time acquisition of ΔORP / Δt and ΔNH3 / Δt; The impact strength calculation module (200) is connected to the data acquisition module (100), receives ORP and ammonia nitrogen data, and calculates the impact strength index; The zone control decision module (300) is connected to the impact intensity calculation module (200), and compares the impact intensity index with the preset threshold to output control mode commands, feedforward enhancement coefficients and integral attenuation factors. The aeration volume execution module (400) is connected to the partition control decision module (300) and includes a frequency converter (401) and an electric regulating valve (402) for performing aeration volume regulation.

10. The aeration control system based on influent impact intensity identification and zoning compensation according to claim 9, characterized in that: The impact strength calculation module (200) and the zone control decision module (300) are deployed in the same PLC controller (500). Each sensor is connected to the PLC controller (500) via a 4-20mA analog signal or an RS485 digital signal.

Images