Control method and system of sewage treatment equipment and medium

Abstract

The invention relates to the technical field of sewage control, in particular to a control method and system of sewage treatment equipment and a medium. The method comprises the following steps: arranging a buffer cavity made of a flexible material at the water inlet end of sewage treatment equipment; the volume of the buffer cavity is adjusted in real time according to the original water inlet flow, and a flexible buffer cavity volume dynamic adjustment strategy is obtained; if the flexible buffer volume dynamic adjustment strategy executes the volume adjustment of the buffer cavity, evaluating the water outlet stability degree of the buffer cavity to obtain buffer effect evaluation data; a miniature electromagnetic valve is used for controlling the inlet opening degree of a reactor unit in the sewage treatment equipment, and the water inlet flow of the reactor unit is controlled to be balanced; and adjusting the porosity of the reactor unit partition plate to realize dynamic control and adjustment of sludge sedimentation. By dynamically adjusting the volume of the buffer cavity, water inlet flow fluctuation is effectively buffered, fine control over sludge sedimentation is achieved, and the impact resistance and operation stability of sewage treatment equipment are remarkably improved.

Description

Technical Field

[0001] The present invention relates to the technical field of sewage control, and in particular to a control method, system and medium for sewage treatment equipment. Background Art

[0002] In the actual sewage treatment process, due to the influence of various factors such as industrial production, lifestyle, and climate change, the amount and quality of raw water entering the sewage treatment plant often fluctuate greatly, especially the appearance of instantaneous shock load, which can easily cause serious impact on the sewage treatment system. Shock load is mainly manifested as a sharp increase in water volume or pollutant concentration in a short period of time, exceeding the normal treatment capacity of sewage treatment equipment, resulting in unstable system operation or even collapse. Specifically, shock load will lead to a series of problems such as inhibition of microbial activity in biological reactors, decreased solid-liquid separation efficiency in sedimentation tanks, sludge expansion or loss, and ultimately manifested as excessive discharge of effluent water quality, serious pollution of receiving water bodies, and damage to the water ecological environment. For example, when shock load occurs, key parameters such as microbial communities, dissolved oxygen concentration, and pH value in the sewage treatment system will fluctuate violently, exceeding the adjustment range of the original control strategy, resulting in system instability. For example, under the impact of high concentrations of organic matter, the metabolic activity of microorganisms will suddenly increase, resulting in rapid consumption of dissolved oxygen and even hypoxia, which will affect the subsequent treatment effect. At the same time, the rapid change of sludge load is also likely to lead to sludge loss and reduce the system's treatment capacity. However, traditional sewage treatment control methods mainly focus on engineering measures for buffering and mitigating shock loads, such as setting up regulating tanks and equalizing tanks. These measures only passively buffer and dilute, and do not fundamentally solve the impact of shock loads on the sewage treatment process. They often require a large area and high construction costs, which are unbearable for some small and medium-sized sewage treatment plants. At the same time, the rapid changes in sludge load can easily lead to sludge loss, reducing the system's processing capacity. Summary of the invention

[0003] Based on this, the present invention provides a control method, system and medium for sewage treatment equipment to solve at least one of the above technical problems.

[0004] To achieve the above object, a control method for sewage treatment equipment comprises the following steps:

[0005] The electromagnetic flowmeter installed on the water inlet pipeline is used to collect the instantaneous flow of sewage entering the treatment equipment in real time, and the collected flow value is transmitted to the control system in the form of a digital signal to obtain the original water inlet flow data;

[0006] A buffer cavity made of a flexible material is provided at the water inlet end of the sewage treatment equipment; the volume of the buffer cavity is adjusted in real time according to the original water inlet flow data to obtain a dynamic adjustment strategy for the volume of the flexible buffer cavity; wherein the flexible material is silicone rubber, and the initial volume of the buffer cavity is 10%-20% of the rated water treatment volume of the sewage treatment equipment;

[0007] If the flexible buffer volume dynamic adjustment strategy is executed and the buffer cavity volume adjustment is completed, the smoothness of water discharge from the buffer cavity is evaluated to obtain buffer effect evaluation data;

[0008] The inlet opening of the reactor unit in the sewage treatment equipment is controlled by a micro electromagnetic valve to control the balance of the water inlet flow of the reactor unit; the porosity of the reactor unit partition is adjusted to realize dynamic control and regulation of sludge sedimentation.

[0009] The present invention uses flexible material silicone rubber to construct a buffer chamber, giving the system stronger adaptability. Silicone rubber has excellent elasticity and deformation recovery ability, and can quickly adjust the volume of the buffer chamber according to the change of the inlet flow rate, so as to achieve effective buffering and peak cutting of the instantaneous impact load, avoid the impact load directly impacting the subsequent treatment unit, and ensure the stable operation of the system. Compared with the traditional rigid structure regulating tank, the volume of the flexible buffer chamber is adjustable, which can more finely control the inlet flow rate, improve the impact resistance of the system, and occupy a smaller area, which is easier to integrate into the existing sewage treatment system. The initial volume is set to 10%-20% of the rated water volume of the sewage treatment equipment, which not only ensures sufficient buffer capacity, but also avoids excessive space occupation. By collecting the inlet flow data in real time and dynamically adjusting the volume of the buffer chamber according to the data, the fluctuation of the inlet flow rate can be effectively smoothed, and a stable hydraulic load can be provided for the subsequent biological treatment unit. At the same time, the inlet flow rate of the reactor unit is accurately controlled by a micro-electromagnetic valve, which further ensures the balance of the processing load of each unit and avoids local overload operation. In addition, by adjusting the porosity of the reactor unit baffle, the sludge settling rate can be dynamically controlled to prevent sludge loss, increase sludge concentration, enhance the system's treatment efficiency, and flexibly adjust according to changes in influent water quality to optimize the treatment effect. Through the dynamic adjustment of the buffer chamber volume and the coordinated control of the reactor unit, the refined management of the sewage treatment process is achieved. The dynamic adjustment strategy of the buffer chamber is not a simple flow equalization, but an intelligent adjustment based on real-time flow data, which effectively eliminates the impact of shock loads and avoids the problem of insufficient or excessive buffering in traditional methods. At the same time, the introduction of buffer effect evaluation data can further optimize the control strategy and improve the robustness and reliability of the system. Through the precise control of the reactor unit influent flow and sludge settling, the activity of microorganisms in the biological reactor can be effectively maintained, the drastic fluctuations of key parameters such as dissolved oxygen concentration and pH value can be avoided, the stability of the treatment effect can be ensured, and finally the effluent quality can meet the discharge standards and protect the water ecological environment. Therefore, a control method for sewage treatment equipment of the present invention sets a buffer chamber made of flexible material at the water inlet end, uses an electromagnetic flowmeter to collect water inlet flow data in real time, and dynamically adjusts the volume of the buffer chamber through a PID controller to buffer the water inlet flow fluctuation; based on the real-time MLSS monitoring value, the porosity and inclination of the sludge sedimentation baffle are dynamically adjusted to optimize the sludge sedimentation performance; it realizes refined and flexible control of the sewage treatment process, and significantly improves the impact resistance and treatment efficiency of the system.

[0010] Preferably, the real-time adjustment of the volume of the buffer chamber comprises the following steps:

[0011] The difference between the flow values ​​of two consecutive sampling points is calculated based on the original inlet flow data, and then divided by the time interval to obtain the inlet flow change rate data;

[0012] The flow mutation threshold is set to be 10% of the standard deviation of the flow value at the sampling point;

[0013] The flow mutation threshold is used to determine whether there is a flow mutation in the water inlet flow rate change data. When the water inlet flow rate change data exceeds the threshold, it is determined that there is a flow mutation, the moment when the mutation occurs is marked, and a flow mutation mark value is generated;

[0014] Send traffic warning signals to the host computer according to the traffic mutation mark value;

[0015] The volume of the buffer cavity is adjusted in real time to obtain a dynamic adjustment strategy for the volume of the flexible buffer cavity.

[0016] The present invention obtains the water inlet flow rate change data by calculating the difference of the flow values ​​of continuous sampling points and dividing it by the time interval. It can more sensitively capture the flow change trend, rather than relying solely on the instantaneous flow value, so as to more accurately predict the arrival of the impact load. The flow mutation threshold is set to the standard deviation of 10% of the sampling point flow value, and the threshold can be dynamically adjusted according to the degree of fluctuation of the actual operating conditions, avoiding misjudgment or missed judgment caused by a fixed threshold, and improving the accuracy of flow mutation detection. When the water inlet flow rate change rate exceeds the threshold, the system can timely determine the flow mutation and mark it, generate a flow mutation mark value, and provide a basis for the subsequent buffer chamber volume adjustment. At the same time, the system will send a flow warning signal to the upper computer to remind the operator to pay attention to the system status so as to take manual intervention measures in time to further enhance the safety and reliability of the system. Based on the flow mutation mark value, the system can adjust the volume of the buffer chamber in real time to realize a flexible buffer chamber volume dynamic adjustment strategy. This control strategy based on flow change rate and dynamic threshold can more effectively cope with various complex impact load conditions, avoiding the lag and error caused by relying solely on instantaneous flow value for control, thereby more finely controlling the buffer chamber volume, maximizing the role of the buffer chamber, improving the system's adaptability to impact loads, and ensuring the stable operation of the sewage treatment system.

[0017] Preferably, the flexible buffer chamber volume dynamic adjustment strategy includes the following steps:

[0018] According to the flow mutation mark value, the maximum value of the flow increase after the flow mutation occurs is found to obtain the impact flow peak value;

[0019] The theoretical buffer volume required is calculated based on the buffer coefficient and the buffer time of the impact flow peak, and the volume adjustment amount is limited through the preset safety adjustment range to obtain the theoretical buffer volume; wherein the buffer coefficient is set to 0.8 and the buffer time is set to 10 minutes;

[0020] The liquid level in the buffer chamber is measured by an ultrasonic liquid level meter to obtain a liquid level measurement value;

[0021] Calculating the actual volume of the buffer cavity according to the liquid level height measurement value and the extracted real-time buffer cavity geometric parameters to obtain the actual buffer cavity volume;

[0022] Obtaining the damping coefficient of the flexible buffer cavity;

[0023] The damping coefficient, buffer time, theoretical buffer volume and actual buffer volume of the flexible buffer cavity are used as inputs of a PID controller, and a buffer volume control step is set to obtain a buffer cavity control signal;

[0024] Based on the buffer cavity control signal, the flexible actuator is controlled to perform a buffer volume adjustment operation to obtain a flexible buffer cavity volume dynamic adjustment strategy.

[0025] The present invention can accurately evaluate the intensity of the impact load by finding the maximum value after the sudden change of flow and determining the peak value of the impact flow, and provide key parameters for the subsequent calculation of the buffer volume. The theoretical buffer volume is calculated by using the buffer coefficient and the buffer time, and the limit is performed in combination with the preset safety adjustment range, which can prevent the buffer cavity from excessive expansion or contraction while ensuring the buffer effect, and ensure the safe and stable operation of the system. The setting of the buffer coefficient and the buffer time balances the buffer effect and the response speed, and can be adjusted according to actual needs. The liquid level is measured by an ultrasonic level meter, and the actual buffer cavity volume is calculated in combination with the real-time buffer cavity geometric parameters, so that the real-time monitoring of the buffer cavity state is realized, and the necessary feedback information is provided for the precise control of the PID controller. The damping coefficient of the flexible buffer cavity is obtained and used as the input parameter of the PID controller, which can more accurately predict the dynamic response of the buffer cavity and improve the control accuracy. The theoretical buffer volume, the actual buffer cavity volume, the buffer time and the damping coefficient are used as the input of the PID controller, and the buffer volume control step is set, so that the buffer cavity volume can be smoothly and stably controlled, and oscillation and overshoot in the control process can be avoided. Finally, based on the output signal of the PID controller, the flexible actuator is controlled to perform the buffer volume adjustment operation, completing the entire dynamic adjustment process.

[0026] Preferably, the step of using the control flexible actuator to perform the buffer volume adjustment operation comprises the following steps:

[0027] A pressure sensor array is arranged on the inner wall of the buffer cavity;

[0028] Based on the set buffer volume control step, the pressure sensor array is used to monitor the inner wall pressure of the buffer cavity in real time to obtain the inner wall pressure data of the buffer cavity;

[0029] Calculate the control step pressure gradient value through the buffer cavity inner wall pressure data to obtain pressure gradient data;

[0030] If the absolute value of the pressure gradient data is greater than a preset pressure threshold, dynamically adjusting the damping coefficient of the flexible buffer cavity to obtain dynamic flexible damping coefficient data;

[0031] Performing real-time buffer volume correction on the theoretical buffer volume according to the set buffer volume control step and the pressure gradient data to obtain corrected buffer volume data;

[0032] The dynamic flexible damping coefficient data and the corrected buffer volume data are fed back to the PID controller to dynamically correct the buffer volume adjustment process and obtain the flexible buffer volume dynamic adjustment strategy.

[0033] The present invention sets a pressure sensor array on the inner wall of the buffer cavity, realizes real-time monitoring of the pressure distribution inside the buffer cavity, and can perceive the deformation state of the buffer cavity more finely. The pressure data of the inner wall of the buffer cavity obtained by the pressure sensor array can be used to calculate the control step pressure gradient value, thereby more accurately reflecting the pressure change trend inside the buffer cavity. When the absolute value of the pressure gradient data is greater than the preset pressure threshold, it indicates that the pressure inside the buffer cavity changes dramatically and there is a risk of excessive expansion or contraction. At this time, the system will dynamically adjust the damping coefficient of the flexible buffer cavity, obtain dynamic flexible damping coefficient data, and feed it back to the PID controller. This strategy of dynamically adjusting the damping coefficient can effectively suppress excessive deformation of the buffer cavity, improve the stability and safety of the system, and perform adaptive adjustment according to actual working conditions to optimize the control effect. At the same time, the system will also make real-time corrections to the theoretical buffer volume according to the pressure gradient data to obtain corrected buffer volume data, further improving the accuracy of buffer volume control. By feeding back the dynamic flexible damping coefficient data and the corrected buffer volume data to the PID controller, dynamic correction of the buffer volume adjustment process is achieved, enabling the system to respond to changes in impact load more quickly and accurately, and make adjustments based on pressure changes inside the buffer cavity, thereby better controlling the volume of the buffer cavity and improving the robustness and adaptability of the system.

[0034] Preferably, the real-time buffer volume correction comprises the following steps:

[0035] The buffer cavity volume adjustment change rate is calculated by the set buffer volume control step, and the absolute value of the volume change amplitude is calculated by the initial volume of the buffer cavity to obtain the buffer cavity volume change amplitude data;

[0036] Performing control step accumulation processing according to the buffer cavity volume change amplitude data to obtain buffer cavity cumulative change data;

[0037] Mapping the change interval of the accumulated change data of the buffer cavity, and querying the deformation parameters of the flexible material to obtain the deformation parameters of the material in the real-time control step;

[0038] The deformation performance of the buffer cavity is analyzed according to the material deformation parameters of the real-time control step and the pressure gradient data, and the theoretical buffer volume is corrected to obtain corrected buffer volume data.

[0039] The present invention can accurately track the change trend of the buffer cavity volume by calculating the volume change rate and volume change amplitude of the buffer cavity, and combined with the initial volume of the buffer cavity, avoid the risk caused by excessive volume change. The buffer cavity volume change amplitude data is processed by control step accumulation to obtain the buffer cavity cumulative change data, which can more comprehensively reflect the deformation history of the buffer cavity and provide a richer data basis for subsequent deformation performance analysis. The buffer cavity cumulative change data is processed by interval mapping, and the deformation parameters of the flexible material are queried to obtain the material characteristic parameters corresponding to the current deformation state, such as elastic modulus, Poisson's ratio, etc. This correction method based on material deformation parameters can more accurately reflect the actual deformation characteristics of the buffer cavity and avoid the errors caused by using fixed parameters. Finally, according to the real-time control step material deformation parameters and pressure gradient data, the deformation performance of the buffer cavity is analyzed, and the theoretical buffer volume is corrected to obtain the corrected buffer volume data. This correction strategy, which comprehensively considers material properties and pressure changes, can more effectively compensate for the deviations caused by the simplification and assumptions of the theoretical model, making the buffer volume control closer to the actual working conditions, thereby improving the control accuracy and robustness of the system and better coping with complex impact load conditions.

[0040] Preferably, the evaluation of the smoothness of water discharge from the buffer chamber comprises the following steps:

[0041] If the flexible buffer volume dynamic adjustment strategy is executed and the buffer chamber volume adjustment is completed, the instantaneous flow value of the buffer chamber outlet pipe is collected;

[0042] Calculating the average water outlet flow rate per unit time based on the instantaneous flow rate value of the water outlet pipeline of the buffer chamber to obtain the average water outlet flow rate of the buffer chamber;

[0043] The water outlet fluctuation threshold is set to 5% of the standard deviation of the instantaneous flow value of the buffer chamber outlet pipeline, and the stability of the water outlet flow is judged by the average water outlet flow of the buffer chamber. When the average water outlet flow of the buffer chamber is less than the threshold, the water outlet flow is judged to be stable to obtain buffering effect evaluation data, otherwise the hydraulic buffering degree is improved by the flexible buffer volume dynamic adjustment strategy.

[0044] After the flexible buffer volume dynamic adjustment strategy is executed, the system will collect the instantaneous flow value of the buffer chamber outlet pipeline and calculate the average water flow per unit time to obtain the average water flow of the buffer chamber. By calculating the average water flow, the fluctuation of the instantaneous flow value can be effectively filtered out, and the overall trend of the water flow can be more accurately reflected. The system sets the water outlet fluctuation threshold as the standard deviation of 5% of the instantaneous flow value of the buffer chamber outlet pipeline, and compares the average water flow of the buffer chamber with the threshold. The setting of this dynamic threshold can automatically adjust the judgment standard according to the degree of fluctuation of the actual operation, thereby improving the accuracy and adaptability of the evaluation. When the average water flow of the buffer chamber is less than the threshold, the water flow is determined to be stable, indicating that the buffer effect is good. The system will record the buffer effect evaluation data at this time to provide a reference for subsequent strategy optimization. If the average water flow of the buffer chamber is greater than the threshold, it indicates that the water flow fluctuates greatly and the buffer effect is not ideal. At this time, the system will execute the flexible buffer volume dynamic adjustment strategy again to increase the hydraulic buffering degree until the water flow reaches a stable state. This feedback-based dynamic adjustment mechanism can automatically optimize the buffering strategy according to actual conditions, ensuring that the system always maintains the best buffering effect, thereby minimizing the impact of shock loads on subsequent treatment units and improving the stability and efficiency of the entire sewage treatment system.

[0045] Preferably, adjusting the porosity of the reactor unit partition comprises the following steps:

[0046] Using a micro electromagnetic valve to control the inlet opening of the reactor unit in the sewage treatment equipment to control the balance of the water inlet flow of the reactor unit;

[0047] Reading the current hydraulic load pressure value of the microfluidic channel of the reactor unit according to the buffer effect evaluation data to obtain a microfluidic pressure feedback value;

[0048] Obtain the target value of sludge treatment concentration;

[0049] Reading the deformation amount of the sludge settling partition in the current reactor unit through the microfluid pressure feedback value;

[0050] adjusting the porosity of the partition in real time according to the deformation amount of the sludge sedimentation partition;

[0051] Based on the sludge treatment concentration target value, the sewage retention treatment time is controlled, and the mixed liquor suspended solids concentration value in the sludge settling zone is monitored in real time to obtain a real-time MLSS monitoring value;

[0052] The sludge settling is dynamically controlled and adjusted according to the real-time MLSS monitoring value.

[0053] The present invention uses a micro-electromagnetic valve to control the opening of the reactor unit inlet, which can accurately control the balance of the water inlet flow, ensure that the processing load of each reactor unit is evenly distributed, and avoid local overload operation. According to the buffering effect evaluation data, the current hydraulic load pressure value of the microfluid channel is read to obtain the microfluid pressure feedback value, which can monitor the hydraulic state inside the reactor unit in real time and provide a reference basis for the subsequent porosity adjustment. The sludge treatment concentration target value is obtained, and the target sludge concentration can be set according to different treatment requirements to achieve personalized control. The deformation amount of the sludge precipitation partition in the current reactor unit can be read by the microfluid pressure feedback value, which can indirectly reflect the sludge sedimentation state. According to the deformation amount of the sludge precipitation partition, the partition porosity is adjusted in real time, the sludge sedimentation rate can be dynamically controlled, the sludge loss can be avoided, the sludge concentration can be increased, and the adjustment can be made according to the actual situation to optimize the sedimentation effect. Based on the sludge treatment concentration target value, the sewage retention treatment time is controlled, and the mixed liquor suspended solids concentration value (MLSS) of the sludge sedimentation zone is monitored in real time, which can accurately control the sludge sedimentation process and ensure that the effluent water quality meets the standard. By dynamically controlling and adjusting sludge settling based on real-time MLSS monitoring values, the porosity of the partition can be further fine-tuned according to the actual sludge concentration to achieve more precise control, so that sludge settling is always maintained in the optimal state, improving treatment efficiency and reducing energy consumption.

[0054] Preferably, the sludge settling dynamic control and regulation comprises the following steps:

[0055] Based on the real-time MLSS monitoring value, the state of the MLSS value of the sludge settling area is judged. If the MLSS is lower than 2500 mg / L, it is judged to be too low; if the MLSS is higher than 4500 mg / L, it is judged to be too high; if the MLSS is between 2500 mg / L and 4500 mg / L, it is judged to be normal;

[0056] When MLSS is lower than 2500 mg / L, the inclination angle of the inclined plate is increased, and the target value is 30 degrees. The inclination angle of the inclined plate is adjusted by a stepper motor to increase the sedimentation rate of the sludge.

[0057] When MLSS is higher than 4500mg / L, the inclination angle of the inclined plate is reduced to a target value of 15 degrees. The inclination angle of the inclined plate is adjusted by a stepper motor to reduce the sludge settling speed, causing some sludge to overflow and prevent excessive accumulation.

[0058] When MLSS is between 2500mg / L and 4500mg / L, maintain the inclined plate at the current inclination angle to maintain normal sedimentation efficiency.

[0059] The present invention is based on the real-time MLSS monitoring value. The system will judge the state of the MLSS value in the sludge settling area and take corresponding control measures according to different states. 2500mg / L and 4500mg / L are set as the too low and too high thresholds of MLSS respectively, which can be adjusted according to actual operation experience and processing requirements to ensure that the sludge concentration is always kept within a suitable range. When MLSS is lower than 2500mg / L, it indicates that the sludge concentration is too low and the sedimentation effect is not good. At this time, the system will drive the inclined plate inclination adjustment through a stepper motor, increase the inclined plate inclination to 30 degrees, thereby increasing the sedimentation rate of the sludge and improving the sludge concentration. When MLSS is higher than 4500mg / L, it indicates that the sludge concentration is too high, which is likely to cause excessive accumulation of sludge and affect the sedimentation effect. At this time, the system will reduce the inclined plate inclination to 15 degrees, reduce the sludge settling rate, cause part of the sludge to overflow, prevent excessive accumulation, and maintain the normal operation of the sedimentation tank. When MLSS is between 2500mg / L and 4500mg / L, it indicates that the sludge concentration is within the normal range, and the system will maintain the current inclination of the inclined plate to maintain normal sedimentation efficiency and avoid energy loss caused by frequent adjustments. This dynamic adjustment strategy based on the MLSS value can automatically adjust the inclination of the inclined plate according to the real-time status of the sludge settling area, realize intelligent control of the sludge settling process, improve the adaptability and robustness of the system, and effectively avoid the lag and error caused by manual intervention, reducing the workload of operators.

[0060] Preferably, the present invention further provides a control system for sewage treatment equipment, which executes the control method for sewage treatment equipment as described above, and the control system for sewage treatment equipment comprises:

[0061] The sewage flow collection module is used to collect the instantaneous flow of sewage entering the treatment equipment in real time using the electromagnetic flowmeter installed on the water inlet pipeline, and transmit the collected flow value to the control system in the form of a digital signal to obtain the original water inlet flow data;

[0062] A flexible sewage buffer module is used to set a buffer cavity made of flexible material at the water inlet end of the sewage treatment equipment; the volume of the buffer cavity is adjusted in real time according to the original water inlet flow data to obtain a dynamic adjustment strategy for the volume of the flexible buffer cavity; wherein the flexible material is silicone rubber, and the initial volume of the buffer cavity is 10%-20% of the rated water treatment volume of the sewage treatment equipment;

[0063] The buffer effect evaluation module evaluates the smoothness of water discharge from the buffer cavity after the flexible buffer volume dynamic adjustment strategy is executed to obtain buffer effect evaluation data;

[0064] The sludge settling control module is used to control the inlet opening of the reactor unit in the sewage treatment equipment by using a micro electromagnetic valve to control the water inlet flow balance of the reactor unit; and adjust the porosity of the reactor unit partition to realize dynamic control and regulation of sludge settling.

[0065] Preferably, the present invention further provides a computer-readable storage medium storing a computer program, wherein the computer program, when executed, implements the control method for the sewage treatment equipment as described in any one of the above. BRIEF DESCRIPTION OF THE DRAWINGS

[0066] Figure 1 A schematic flow chart of the steps of the control method of the sewage treatment equipment of the present invention;

[0067] Figure 2 It is a schematic flow chart of the steps of adjusting the volume of the buffer chamber in real time in the control method of the sewage treatment equipment of the present invention;

[0068] Figure 3 It is a schematic flow chart of the steps of adjusting the porosity of the reactor unit partition in the control method of the sewage treatment equipment of the present invention;

[0069] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0070] The technical method of the present invention is described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by technicians in this field without creative work are within the scope of protection of the present invention.

[0071] In addition, the accompanying drawings are only schematic illustrations of the present invention and are not necessarily drawn to scale. The same reference numerals in the figures represent the same or similar parts, and their repeated description will be omitted. Some of the block diagrams shown in the accompanying drawings are functional entities and do not necessarily correspond to physically or logically independent entities. The functional entities can be implemented in software form, or implemented in one or more hardware modules or integrated circuits, or implemented in different networks and / or processor methods and / or microcontroller methods.

[0072] It should be understood that, although the terms "first", "second", etc. may be used herein to describe various units, these units should not be limited by these terms. These terms are used only to distinguish one unit from another unit. For example, without departing from the scope of the exemplary embodiments, the first unit may be referred to as the second unit, and similarly the second unit may be referred to as the first unit. The term "and / or" used herein includes any and all combinations of one or more of the listed associated items.

[0073] To achieve this, please refer to Figures 1 to 3 The present invention provides a control method for sewage treatment equipment, comprising the following steps:

[0074] The electromagnetic flowmeter installed on the water inlet pipeline is used to collect the instantaneous flow of sewage entering the treatment equipment in real time, and the collected flow value is transmitted to the control system in the form of a digital signal to obtain the original water inlet flow data;

[0075] A buffer cavity made of a flexible material is provided at the water inlet end of the sewage treatment equipment; the volume of the buffer cavity is adjusted in real time according to the original water inlet flow data to obtain a dynamic adjustment strategy for the volume of the flexible buffer cavity; wherein the flexible material is silicone rubber, and the initial volume of the buffer cavity is 10%-20% of the rated water treatment volume of the sewage treatment equipment;

[0076] If the flexible buffer volume dynamic adjustment strategy is executed and the buffer cavity volume adjustment is completed, the smoothness of water discharge from the buffer cavity is evaluated to obtain buffer effect evaluation data;

[0077] The inlet opening of the reactor unit in the sewage treatment equipment is controlled by a micro electromagnetic valve to control the balance of the water inlet flow of the reactor unit; the porosity of the reactor unit partition is adjusted to realize dynamic control and regulation of sludge sedimentation.

[0078] In an embodiment of the present invention, the control method of the sewage treatment equipment specifically includes the following steps:

[0079] Step S1: using an electromagnetic flowmeter installed on the water inlet pipeline to collect the instantaneous flow of sewage entering the treatment equipment in real time, and transmitting the collected flow value to the control system in the form of a digital signal to obtain the original water inlet flow data;

[0080] In the embodiment of the present invention, a DN50 electromagnetic flowmeter is installed on the water inlet pipe of the sewage treatment equipment. The measurement range of the electromagnetic flowmeter is 0-100m 3 / h, with an accuracy of 0.5%. The electromagnetic flowmeter is connected to the water inlet pipe through a flange connection to ensure a firm connection and reliable sealing to avoid water leakage and signal interference. Connect the power cord of the electromagnetic flowmeter to a 220V AC power supply, and connect the signal line to the PLC control system of the sewage treatment equipment. The PLC control system uses the Siemens S7-1500 series and is equipped with a corresponding analog input module to receive the 4-20mA current signal transmitted by the electromagnetic flowmeter. The PLC program is set to collect the signal of the flowmeter once per second, and convert the collected 4-20mA current signal into the corresponding instantaneous flow value (unit: m3 / h), which is stored in the data storage area of ​​the PLC as the original water inlet flow data.

[0081] Step S2: a buffer cavity made of a flexible material is provided at the water inlet end of the sewage treatment equipment; the volume of the buffer cavity is adjusted in real time according to the original water inlet flow data to obtain a dynamic adjustment strategy for the volume of the flexible buffer cavity; wherein the flexible material is silicone rubber, and the initial volume of the buffer cavity is 10%-20% of the rated water treatment volume of the sewage treatment equipment;

[0082] In the embodiment of the present invention, a flexible buffer cavity made of silicone rubber is provided at the water inlet of the sewage treatment equipment. The silicone rubber material is food-grade silicone rubber with a Shore hardness of 50A, which has good elasticity and corrosion resistance. The initial volume of the buffer cavity is set to 15% of the rated water treatment capacity of the sewage treatment equipment. Assuming that the rated water treatment capacity of the sewage treatment equipment is 50m 3 / h, the initial volume of the buffer chamber is 7.5m 3 . The buffer chamber is designed to be cylindrical, and the volume of the buffer chamber can be adjusted by changing the height of the cylinder. The bottom of the cylinder is fixed, and a movable piston is connected to the top. The piston is driven by a servo motor, and the rotation angle of the servo motor is controlled by the PLC control system, so as to accurately control the position of the piston, and then change the height of the cylinder to adjust the volume of the buffer chamber. The PLC program calculates the required volume of the buffer chamber in real time based on the original water inlet flow data collected in step one. For example, when the water inlet flow rate suddenly increases, the PLC program calculates that the volume of the buffer chamber needs to be increased to absorb excess water; when the water inlet flow rate decreases, the PLC program calculates that the volume of the buffer chamber needs to be reduced to maintain a stable water outlet flow rate. The PLC program converts the calculated buffer chamber volume into the rotation angle of the servo motor, controls the servo motor to drive the piston to move, and realizes dynamic adjustment of the buffer chamber volume. Set the maximum rate of buffer chamber volume adjustment to 0.5m 3 / min to prevent the volume of the buffer chamber from changing too quickly and causing impact on the system.

[0083] Step S3: After the flexible buffer volume dynamic adjustment strategy is executed and the buffer cavity volume adjustment is completed, the smoothness of water discharge from the buffer cavity is evaluated to obtain buffer effect evaluation data;

[0084] In the embodiment of the present invention, an electromagnetic flowmeter identical to step S1 is installed on the outlet pipe of the flexible buffer chamber to measure the outlet flow rate of the buffer chamber. The PLC program collects the signal of the outlet flowmeter once a second, and stores the collected data in the data storage area of ​​the PLC to form time series data. The statistical function in the PLC program is used to calculate the standard deviation of the outlet flow rate within a certain period of time. For example, the standard deviation of the outlet flow rate in the past 5 minutes is calculated. The smaller the standard deviation, the more stable the outlet flow rate and the better the buffering effect. Set a threshold value, such as 0.5m 3 / h. If the calculated standard deviation is less than the threshold, the buffering effect is considered to be good; if the calculated standard deviation is greater than the threshold, the buffering effect is considered to be poor, and the parameters of the dynamic adjustment strategy of the buffer cavity volume need to be adjusted, such as adjusting the rate of change of the buffer cavity volume or adjusting the range of the buffer cavity volume.

[0085] Step S4: using a micro electromagnetic valve to control the inlet opening of the reactor unit in the sewage treatment equipment to control the water inlet flow balance of the reactor unit; adjusting the porosity of the reactor unit partition to achieve dynamic control and regulation of sludge sedimentation.

[0086] In an embodiment of the present invention, a plurality of micro solenoid valves are installed at the inlet of the reactor unit of the sewage treatment equipment, and each solenoid valve controls the water inlet flow of a reactor unit. The PLC program controls the opening of each micro solenoid valve according to the water outlet flow of the buffer chamber and the operating status of each reactor unit to achieve a balanced distribution of the water inlet flow of the reactor unit. For example, if the water inlet flow of a reactor unit is too large, the PLC program will reduce the opening of the micro solenoid valve controlling the reactor unit to reduce its water inlet flow; conversely, if the water inlet flow of a reactor unit is too small, the PLC program will increase the opening of the micro solenoid valve controlling the reactor unit to increase its water inlet flow. The partition of the reactor unit adopts a design with adjustable porosity, such as a rotatable shutter structure. The PLC program controls the porosity of the partition according to the sludge sedimentation situation to achieve dynamic control of sludge sedimentation. For example, when the sludge settling speed is too slow, the PLC program will reduce the porosity of the partition, increase the sludge settling area, and increase the sludge settling speed; conversely, when the sludge settling speed is too fast, the PLC program will increase the porosity of the partition, reduce the sludge settling area, and reduce the sludge settling speed. The PLC program can judge the sludge settling situation by monitoring the sludge concentration or sludge interface height in the reactor unit.

[0087] Preferably, the real-time adjustment of the volume of the buffer chamber specifically comprises the following steps:

[0088] The difference between the flow values ​​of two consecutive sampling points is calculated based on the original inlet flow data, and then divided by the time interval to obtain the inlet flow change rate data;

[0089] The flow mutation threshold is set to be 10% of the standard deviation of the flow value at the sampling point;

[0090] The flow mutation threshold is used to determine whether there is a flow mutation in the water inlet flow rate change data. When the water inlet flow rate change data exceeds the threshold, it is determined that there is a flow mutation, the moment when the mutation occurs is marked, and a flow mutation mark value is generated;

[0091] Send traffic warning signals to the host computer according to the traffic mutation mark value;

[0092] The volume of the buffer cavity is adjusted in real time to obtain a dynamic adjustment strategy for the volume of the flexible buffer cavity.

[0093] As an embodiment of the present invention, refer to Figure 2 As shown, it is a schematic flow chart of the steps of adjusting the volume of the buffer cavity in real time. In an embodiment of the present invention, the real-time adjustment of the volume of the buffer cavity specifically includes the following steps:

[0094] S11: Calculate the difference between the flow values ​​of two consecutive sampling points according to the original water inlet flow data, and divide it by the time interval to obtain the water inlet flow change rate data;

[0095] S12: setting the flow mutation threshold to be 10% of the standard deviation of the flow value at the sampling point;

[0096] S13: using the flow mutation threshold to determine whether the water inlet flow rate change data has a flow mutation; when the water inlet flow rate change data exceeds the threshold, determining that there is a flow mutation, marking the moment when the mutation occurs, and generating a flow mutation mark value;

[0097] S14: Sending a traffic warning signal to the upper computer according to the traffic mutation mark value;

[0098] S15: adjusting the volume of the buffer cavity in real time to obtain a dynamic adjustment strategy for the volume of the flexible buffer cavity.

[0099] In the embodiment of the present invention, the PLC control system collects water inlet flow data at a time interval of 1 second and stores the collected data in the data storage area. The PLC program reads the flow values ​​of two consecutive sampling points, for example, the flow value of the nth sampling point is Qn, and the flow value of the n+1th sampling point is Qn+1. Calculate the difference between the flow values ​​of the two sampling points: ΔQ=Qn+1-Qn. Divide the difference ΔQ by the sampling time interval (1 second) to obtain the water inlet flow rate change data: R=ΔQ / 1s. For example, if Qn=20m 3 / h, Qn+1=22m 3 / h, then ΔQ=2m 3 / h, water inlet flow rate change rate R = 2m3 / h / s. Multiply 10% of the flow value at the sampling point (for example, the flow value Qn+1 at the current sampling point) by the calculated standard deviation σ to obtain the flow mutation threshold T: T = 0.1 × Qn+1 × σ. For example, if the flow value Qn+1 at the current sampling point = 22m 3 / h, the standard deviation of flow values ​​in the past 5 minutes σ=1m 3 / h, then the flow rate mutation threshold T = 0.1 × 22m 3 / h×1m 3 / h=2.2(m 3 / h)2. Compare the calculated water inlet flow rate change data R with the set flow mutation threshold T. When the absolute value of the water inlet flow rate change data R exceeds the flow mutation threshold T, that is, |R|>T, it is determined that there is a flow mutation. For example, if the calculated water inlet flow rate change R = 3m 3 / h / s, flow rate mutation threshold T = 2.2 (m 3 / h)2, since |3|>2.2, it is determined that there is a sudden change in flow. When it is determined that there is a sudden change in flow, the PLC program marks the moment when the sudden change occurs and generates a sudden change in flow mark value. For example, the sampling point number n+1 at the moment when the sudden change occurs can be used as the sudden change in flow mark value. The sudden change in flow mark value and the current inlet flow value Qn+1 are sent to the host computer monitoring system through a communication module (such as Profinet). After receiving the flow warning signal, the host computer monitoring system can perform corresponding processing, such as issuing an alarm to prompt the operator to pay attention, or recording the sudden change in flow for subsequent analysis. When a positive sudden change in flow is detected (ie, R>T), the PLC program controls the servo motor to increase the volume of the buffer chamber to absorb the sudden increase in the inlet flow. The adjusted volume size is proportional to the flow change rate R. When a negative sudden change in flow is detected (ie, R<-T), the PLC program controls the servo motor to reduce the volume of the buffer chamber to supplement the reduced inlet flow. The adjusted volume size is proportional to the absolute value of the flow change rate R. When no sudden flow change is detected, the PLC program maintains the volume of the buffer chamber unchanged, or makes fine adjustments according to the set target water flow rate to keep the water flow rate stable. The maximum rate of buffer chamber volume adjustment and maximum / minimum volume limits are set in the PLC program to ensure safe and stable operation of the system.

[0100] Preferably, the flexible buffer chamber volume dynamic adjustment strategy specifically includes the following steps:

[0101] According to the flow mutation mark value, the maximum value of the flow increase after the flow mutation occurs is found to obtain the impact flow peak value;

[0102] The theoretical buffer volume required is calculated based on the buffer coefficient and the buffer time of the impact flow peak, and the volume adjustment amount is limited through the preset safety adjustment range to obtain the theoretical buffer volume; wherein the buffer coefficient is set to 0.8 and the buffer time is set to 10 minutes;

[0103] The liquid level in the buffer chamber is measured by an ultrasonic liquid level meter to obtain a liquid level measurement value;

[0104] Calculating the actual volume of the buffer cavity according to the liquid level height measurement value and the extracted real-time buffer cavity geometric parameters to obtain the actual buffer cavity volume;

[0105] Obtaining the damping coefficient of the flexible buffer cavity;

[0106] The damping coefficient, buffer time, theoretical buffer volume and actual buffer volume of the flexible buffer cavity are used as inputs of a PID controller, and a buffer volume control step is set to obtain a buffer cavity control signal;

[0107] Based on the buffer cavity control signal, the flexible actuator is controlled to perform a buffer volume adjustment operation to obtain a flexible buffer cavity volume dynamic adjustment strategy.

[0108] In an embodiment of the present invention, when a sudden change in flow rate is detected (i.e., |R|>T), the PLC program starts to record the water inlet flow data for a period of time after the sudden change in flow rate mark value. The length of this period of time can be set according to actual conditions, for example, it is set to 10 minutes. The PLC program continuously collects water inlet flow data during this period of time, and finds the maximum value therein as the impact flow peak value. Based on the acquired impact flow peak value, the required theoretical buffer volume is calculated. The calculation formula for the theoretical buffer volume is: V=C×T×ΔQ, where C is the buffer coefficient, which is set to 0.8; T is the buffer time, which is set to 10 minutes (i.e., 600 seconds); ΔQ is the difference between the impact flow peak value and the flow value of the last sampling point before the sudden change in flow rate. In order to prevent the volume of the buffer chamber from being too large or too small, it is necessary to set a safety adjustment range, for example, ±0.5m 3. Limit the calculated theoretical buffer volume within the safe adjustment range to obtain the final theoretical buffer volume. A high-precision ultrasonic level meter is installed in the buffer chamber to measure the liquid level in the buffer chamber. The ultrasonic level meter calculates the time it takes for the ultrasonic wave to propagate in the liquid by emitting ultrasonic pulses and receiving reflected signals, thereby obtaining the liquid level measurement value. The PLC program reads the measurement data of the ultrasonic level meter. The geometric parameters of the buffer chamber (such as the bottom area and the real-time telescopic length) are stored in the PLC program. The PLC program calculates the current actual volume of the buffer chamber based on the liquid level measurement value and the geometric parameters of the buffer chamber. The damping coefficient of the flexible buffer chamber can be obtained by experimental measurement or numerical simulation. For example, a step response test can be performed on the buffer chamber, and the damping coefficient can be obtained by fitting by analyzing the response curve of the buffer chamber volume change. The damping coefficient (0.5), buffer time (600 seconds), and theoretical buffer volume (for example, 1.33m 3 ) and the actual buffer chamber volume (e.g. 1m 3 ) as the input parameter of the PID controller. Configure the PID controller in the PLC program and set appropriate proportional coefficients, integral coefficients and differential coefficients. The target value of the PID controller is set as the theoretical buffer volume, and the actual buffer chamber volume is used as the feedback value. The PID controller calculates the buffer volume control step according to the deviation between the target value and the feedback value, and generates a buffer chamber control signal. The PLC program sends the generated buffer chamber control signal to the servo motor driver that controls the flexible actuator. The servo motor driver controls the rotation of the servo motor according to the control signal, drives the piston to move, and thus adjusts the volume of the buffer chamber. The control signal can be a position control signal, that is, specifying the position to which the piston needs to move; or it can be a speed control signal, that is, specifying the speed at which the piston moves. The PLC program continuously monitors the actual buffer chamber volume, and continuously adjusts the control signal of the servo motor according to the output of the PID controller until the actual buffer chamber volume reaches the theoretical buffer volume.

[0109] Preferably, the buffer volume adjustment operation performed by controlling the flexible actuator specifically includes the following steps:

[0110] A pressure sensor array is arranged on the inner wall of the buffer cavity;

[0111] Based on the set buffer volume control step, the pressure sensor array is used to monitor the inner wall pressure of the buffer cavity in real time to obtain the inner wall pressure data of the buffer cavity;

[0112] Calculate the control step pressure gradient value through the buffer cavity inner wall pressure data to obtain pressure gradient data;

[0113] If the absolute value of the pressure gradient data is greater than a preset pressure threshold, dynamically adjusting the damping coefficient of the flexible buffer cavity to obtain dynamic flexible damping coefficient data;

[0114] Performing real-time buffer volume correction on the theoretical buffer volume according to the set buffer volume control step and the pressure gradient data to obtain corrected buffer volume data;

[0115] The dynamic flexible damping coefficient data and the corrected buffer volume data are fed back to the PID controller to dynamically correct the buffer volume adjustment process and obtain the flexible buffer volume dynamic adjustment strategy.

[0116] In an embodiment of the present invention, a pressure sensor array is evenly distributed on the inner wall of the buffer cavity. For example, 8 pressure sensors can be used, evenly distributed at different heights of the inner wall of the buffer cavity. Each pressure sensor is connected to the analog input module of the PLC. The PLC program is set to collect data from the pressure sensor array once a second, and convert the collected analog signal into a corresponding pressure value (unit: Pa). Based on the set buffer volume control step (for example, 1 second), the pressure sensor array is used to monitor the inner wall pressure of the buffer cavity in real time to obtain the pressure data of the inner wall of the buffer cavity. The PLC program calculates the pressure difference between two adjacent pressure sensors within the control step, and divides it by the vertical distance between the two sensors to obtain the pressure gradient value (unit: Pa / m). For example, assuming that two adjacent pressure sensors are located at a height of 1 meter and 1.5 meters on the inner wall of the buffer cavity, respectively, within a control step of 1 second, the pressure values ​​of the two sensors are 1000Pa and 1200Pa, respectively, then the pressure gradient value is (1200-1000) / (1.5-1)=400Pa / m. Similar calculations are performed on all adjacent pressure sensors to obtain pressure gradient data at different locations on the inner wall of the buffer cavity. A pressure threshold is preset, for example, 500Pa / m. When the absolute value of the calculated pressure gradient data is greater than the preset pressure threshold, the PLC program dynamically adjusts the damping coefficient of the flexible buffer cavity. The damping coefficient adjustment strategy can be preset, for example, the damping coefficient can be increased or decreased proportionally according to the size of the pressure gradient value. For example, assuming that the initial damping coefficient is 0.5Ns / m, when the absolute value of the pressure gradient value reaches 600Pa / m, the damping coefficient is adjusted to 0.5×(1+(600-500) / 500)=0.6Ns / m. The adjusted damping coefficient is used as the dynamic flexible damping coefficient data. The step size (for example, 0.1m 3) and the pressure gradient data obtained in step 2, perform real-time buffer volume correction on the theoretical buffer volume. The correction method can be based on a pre-established buffer chamber volume-pressure relationship model. The model can calculate the change in the buffer chamber volume according to the geometric shape, material properties and pressure gradient data of the buffer chamber. Add the theoretical buffer volume to the calculated volume change to obtain the corrected buffer volume data. The PID controller recalculates the control signal according to the new damping coefficient and the corrected buffer volume data, and dynamically corrects the buffer volume adjustment process. For example, the PID controller adjusts the control parameters according to the new damping coefficient to adapt to the dynamic characteristics of the buffer chamber volume change; at the same time, the PID controller uses the corrected buffer volume data as the new target value to control the flexible actuator (such as a servo motor) to adjust the buffer chamber volume so that it reaches the corrected target value. In this way, more precise and stable buffer volume control can be achieved, thereby improving the operating efficiency and stability of the sewage treatment equipment.

[0117] Preferably, the dynamically adjusting the damping coefficient of the flexible buffer cavity specifically comprises the following steps:

[0118] Compare the absolute value of the pressure gradient with a preset pressure threshold value, if the absolute value is greater than the threshold value, the comparison result is true, otherwise it is false;

[0119] If the pressure threshold comparison result is true, then select the initial damping coefficient value corresponding to the current buffer chamber state from the preset damping coefficient lookup table; otherwise, choose to keep the current damping coefficient;

[0120] The current buffer cavity state is determined by measuring the real-time buffer cavity water inflow rate change rate and the liquid level height;

[0121] A new damping adjustment parameter value is calculated based on the absolute value of the pressure gradient, the preset pressure threshold and the preset damping adjustment coefficient; wherein the dynamic flexibility damping coefficient calculation formula is:

[0122] Dynamic flexible damping coefficient data = current damping coefficient × (1 + pressure gradient value / preset gradient proportional coefficient);

[0123] Wherein, the preset gradient proportional coefficient can be set to 3 kPa / s.

[0124] In an embodiment of the present invention, the PLC program reads the data of the pressure sensor array on the inner wall of the buffer cavity, and calculates the absolute value of the pressure gradient value according to the data of the adjacent sensors. The calculated absolute value of the pressure gradient is compared with the preset pressure threshold. A damping coefficient lookup table is pre-established to store the initial damping coefficient values ​​corresponding to different buffer cavity states. The buffer cavity state can be divided according to parameters such as the filling degree of the buffer cavity and the rate of change of the water inlet flow. For example, the buffer cavity state can be divided into four states: "low filling degree and low flow rate", "low filling degree and high flow rate", "high filling degree and low flow rate" and "high filling degree and high flow rate". An initial damping coefficient value is set for each state, for example, 0.1Ns / m, 0.2Ns / m, 0.3Ns / m, 0.4Ns / m. The PLC program selects a suitable damping coefficient value according to the pressure threshold comparison judgment result. If the comparison result is true (that is, the absolute value of the pressure gradient is greater than the pressure threshold), the corresponding initial damping coefficient value is selected from the damping coefficient lookup table according to the current buffer cavity state. For example, if the current buffer chamber is in a "high filling and high flow rate" state, the selected initial damping coefficient value is 0.4Ns / m. If the comparison result is false (that is, the absolute value of the pressure gradient is less than or equal to the pressure threshold), the current damping coefficient remains unchanged and no adjustment is required. Based on the initial damping coefficient value selected in step two, the absolute value of the pressure gradient calculated in step one, the pre-set pressure threshold (for example, 1kPa / m) and the preset damping adjustment coefficient (for example, the preset gradient proportional coefficient is 3kPa / s), a new damping adjustment parameter value is calculated, that is, the dynamic flexible damping coefficient data. The calculation formula for the dynamic flexible damping coefficient is: dynamic flexible damping coefficient data = current damping coefficient × (1 + pressure gradient value / preset gradient proportional coefficient).

[0125] Preferably, the real-time buffer volume correction specifically comprises the following steps:

[0126] The buffer cavity volume adjustment change rate is calculated by the set buffer volume control step, and the absolute value of the volume change amplitude is calculated by the initial volume of the buffer cavity to obtain the buffer cavity volume change amplitude data;

[0127] Performing control step accumulation processing according to the buffer cavity volume change amplitude data to obtain buffer cavity cumulative change data;

[0128] Mapping the change interval of the accumulated change data of the buffer cavity, and querying the deformation parameters of the flexible material to obtain the deformation parameters of the material in the real-time control step;

[0129] The deformation performance of the buffer cavity is analyzed according to the material deformation parameters of the real-time control step and the pressure gradient data, and the theoretical buffer volume is corrected to obtain corrected buffer volume data.

[0130] In the embodiment of the present invention, the step size (e.g. 0.1 m 3 ) and the control signal output by the PID controller to calculate the buffer chamber adjustment volume change rate. Divide the buffer volume control step by the control period to get the buffer chamber adjustment volume change rate. For example, if the control period is 1 second, the buffer volume control step is 0.1m 3 , then the volume change rate of the buffer chamber is adjusted to 0.1m 3 / s. The absolute value of the buffer cavity volume change rate is compared with the initial volume of the buffer cavity to obtain the buffer cavity volume change amplitude data. The buffer cavity volume change amplitude data represents the relative size of the buffer cavity volume change. The PLC program accumulates the buffer cavity volume change amplitude data to obtain the buffer cavity cumulative change data. The buffer cavity cumulative change data represents the cumulative change of the buffer cavity volume relative to the initial volume. For example, if the buffer cavity volume change amplitude data is 0.1 / s in the first control cycle, and the buffer cavity volume change amplitude data is 0.2 / s in the second control cycle, then at the end of the second control cycle, the buffer cavity cumulative change data is 0.1+0.2=0.3. The buffer cavity cumulative change data is interval mapped. The value range of the buffer cavity cumulative change data is pre-divided into multiple intervals, and each interval corresponds to a set of flexible material deformation parameters. The flexible material deformation parameters can be parameters such as the elastic modulus and Poisson's ratio of silicone rubber materials at different deformation degrees obtained by experimental measurement or numerical simulation. For example, the buffer cavity cumulative change data range [-1,1] can be mapped to the interval [0,1], and then the interval [0,1] can be evenly divided into 10 sub-intervals, each of which corresponds to a set of pre-determined silicone rubber material deformation parameters. The PLC program queries the corresponding flexible material deformation parameters based on the value of the buffer cavity cumulative change data. The PLC program analyzes the deformation performance of the buffer cavity based on the real-time control step material deformation parameters and pressure gradient data. For example, a mathematical model between the buffer cavity volume and the pressure gradient and material deformation parameters can be established, and the model can be obtained based on finite element analysis or experimental data fitting. The PLC program uses the model to calculate the actual volume that the buffer cavity can reach under the current pressure gradient and material deformation parameters. The calculation result is compared with the theoretical buffer volume, and the theoretical buffer volume is corrected to obtain the corrected buffer volume data. For example, if the theoretical buffer volume is 1.33m 3 However, due to the limitation of material deformation, the buffer cavity can only reach 1.2m 3 , then the corrected buffer volume data is 1.2m 3 The PLC program uses the corrected buffer volume data as the new target value of the PID controller, thereby achieving more accurate buffer chamber volume control.

[0131] Preferably, the evaluation of the smoothness of water discharge from the buffer chamber specifically includes the following steps:

[0132] If the flexible buffer volume dynamic adjustment strategy is executed and the buffer chamber volume adjustment is completed, the instantaneous flow value of the buffer chamber outlet pipe is collected;

[0133] Calculating the average water outlet flow rate per unit time based on the instantaneous flow rate value of the water outlet pipeline of the buffer chamber to obtain the average water outlet flow rate of the buffer chamber;

[0134] The water outlet fluctuation threshold is set to 5% of the standard deviation of the instantaneous flow value of the buffer chamber outlet pipeline, and the stability of the water outlet flow is judged by the average water outlet flow of the buffer chamber. When the average water outlet flow of the buffer chamber is less than the threshold, the water outlet flow is judged to be stable to obtain buffering effect evaluation data, otherwise the hydraulic buffering degree is improved by the flexible buffer volume dynamic adjustment strategy.

[0135] In the embodiment of the present invention, an electromagnetic flowmeter is installed on the outlet pipe of the buffer chamber, which is the same model as the electromagnetic flowmeter of the inlet pipe (for example, DN50, measuring range 0-100m 3 / h, accuracy 0.5%). The electromagnetic flowmeter is connected to the outlet pipe through a flange connection to ensure a firm connection and reliable sealing. Connect the power cord of the electromagnetic flowmeter to a 220V AC power supply, and connect the signal line to the PLC control system. The PLC control system uses the Siemens S7-1500 series and is equipped with a corresponding analog input module to receive the 4-20mA current signal transmitted by the electromagnetic flowmeter. The PLC program is set to collect the signal of the water outlet flowmeter once a second, and convert the collected 4-20mA current signal into the corresponding instantaneous flow value (unit: m 3 / h). After the flexible buffer volume dynamic adjustment strategy finishes adjusting the buffer chamber volume, the PLC program starts to calculate the average water outlet flow rate of the buffer chamber. The PLC program reads the instantaneous flow rate values of the buffer chamber outlet pipeline collected in the past period (for example, 5 minutes), accumulates these instantaneous flow rate values, and divides by the total number of seconds in this period to obtain the average water outlet flow rate of the buffer chamber. Set the water outlet fluctuation threshold as the standard deviation of 5% of the instantaneous flow rate value of the buffer chamber outlet pipeline. The PLC program continuously collects the instantaneous flow rate values of the buffer chamber outlet pipeline and calculates the standard deviation σ of all instantaneous flow rate values in the past period (for example, 5 minutes). Multiply 5% of the instantaneous flow rate value (for example, the flow rate value at the current sampling point) by the calculated standard deviation σ to obtain the water outlet fluctuation threshold T: T = 0.05 × Q_instant × σ, where Q_instant is the instantaneous flow rate value at the current sampling point. The PLC program compares the average water outlet flow rate of the buffer chamber calculated in step two with the water outlet fluctuation threshold T calculated in step three. When the average water outlet flow rate of the buffer chamber is less than this threshold, that is, Q_avg < T, it is determined that the water outlet flow rate is stable and the buffering effect is good. Store the judgment result (for example, a boolean value, True indicates stable, False indicates unstable) as buffering effect evaluation data in the data storage area of the PLC and can be uploaded to the upper computer monitoring system. If the average water outlet flow rate of the buffer chamber is greater than this threshold, that is, Q_avg >= T, it is determined that the water outlet flow rate is unstable and the buffering effect is poor. The PLC program will re-execute the flexible buffer volume dynamic adjustment strategy to perform adjustments in the next control cycle, such as increasing the buffer coefficient, extending the buffer time, or adjusting the parameters of the PID controller, to improve the hydraulic buffering degree until the standard of stable water outlet flow rate is reached.

[0136] Preferably, the specific steps for adjusting the porosity of the reactor unit partition plate include the following:

[0137] Use a micro solenoid valve to control the inlet opening of the reactor unit in the sewage treatment equipment to control the balance of the inlet water flow rate of the reactor unit;

[0138] According to the buffering effect evaluation data, read the current hydraulic load pressure value of the microfluidic channel of the reactor unit to obtain the microfluidic pressure feedback value;

[0139] Obtain the sludge treatment concentration target value;

[0140] Read the deformation amount of the sludge sedimentation partition plate in the current reactor unit through the microfluidic pressure feedback value;

[0141] Adjust the partition plate porosity in real time according to the deformation amount of the sludge sedimentation partition plate;

[0142] Based on the sludge treatment concentration target value, the sewage retention treatment time is controlled, and the mixed liquor suspended solids concentration value in the sludge settling zone is monitored in real time to obtain a real-time MLSS monitoring value;

[0143] The sludge settling is dynamically controlled and adjusted according to the real-time MLSS monitoring value.

[0144] As an embodiment of the present invention, refer to Figure 3 As shown, it is a schematic flow chart of the steps of adjusting the porosity of the reactor unit partition. In an embodiment of the present invention, the step of adjusting the porosity of the reactor unit partition specifically includes the following steps:

[0145] Step S21: using a micro electromagnetic valve to control the opening of the reactor unit inlet in the sewage treatment equipment to control the balance of the water inlet flow of the reactor unit;

[0146] Step S22: reading the current hydraulic load pressure value of the microfluidic channel of the reactor unit according to the buffer effect evaluation data to obtain a microfluidic pressure feedback value;

[0147] Step S23: Obtaining a target value of sludge treatment concentration;

[0148] Step S24: reading the deformation amount of the sludge precipitation partition in the current reactor unit through the microfluid pressure feedback value;

[0149] Step S25: adjusting the partition porosity in real time according to the deformation amount of the sludge sedimentation partition;

[0150] Step S26: Based on the sludge treatment concentration target value, the sewage retention treatment time is controlled, and the mixed liquor suspended solid concentration value in the sludge settling zone is monitored in real time to obtain a real-time MLSS monitoring value;

[0151] Step S27: Dynamically control and adjust sludge settling according to the real-time MLSS monitoring value.

[0152] In an embodiment of the present invention, the control system monitors the hydraulic load pressure of the microfluidic channel in the reactor unit according to the buffering effect evaluation data, and obtains the microfluidic pressure feedback value. The microfluidic channel refers to a tiny channel in the reactor unit for diverting or mixing sewage, and its hydraulic load pressure reflects the flow state of the fluid in the channel. The specific operation is: the control system installs a micro pressure sensor at a key position of each reactor unit, such as the entrance or exit of the microfluidic channel. The measurement range of the pressure sensor is 0 to 50 kPa, and the accuracy is plus or minus 0.1%. The pressure sensor transmits the pressure signal to the signal acquisition module of the control system in the form of a 4 mA to 20 mA current signal. The control system selectively reads the measured value of the micro pressure sensor in a specific reactor unit or a specific position according to the buffering effect evaluation data. For example, when the buffering effect evaluation data indicates that the water flow rate of the buffer chamber fluctuates greatly, the control system reads the microfluidic channel pressure value of all reactor units; when the buffering effect evaluation data indicates that the water flow rate is stable, the control system only reads the microfluidic channel pressure value of some reactor units. The sludge treatment concentration target value refers to the sludge concentration level expected to be achieved during the sewage treatment process, usually expressed as mixed liquor suspended solids concentration (MLSS) in milligrams per liter. The sludge treatment concentration target value can be set according to the requirements of the sewage treatment process and factors such as the influent water quality. For example, for a typical activated sludge process, the sludge treatment concentration target value can be set between 3000 mg per liter and 5000 mg per liter. The control system can read the sludge treatment concentration target value from a preset database, or receive the set value entered by the operator through the human-machine interface. The control system pre-establishes a mapping relationship model between microfluid pressure and partition deformation. The model can be obtained by finite element analysis, experimental measurement or empirical formula. For example, the model can be described as: the deflection (unit: mm) at the center point of the partition is equal to the microfluid channel pressure value (unit: kPa) multiplied by a coefficient. The control system calculates the deformation of the sludge precipitation partition based on the current microfluid pressure feedback value, such as 10 kPa, using the mapping relationship model, for example, the deflection at the center point of the partition is 1 mm. The control system determines whether the permeability of the partition meets the requirements based on the deformation of the sludge sedimentation partition. For example, when the partition deformation is large, such as the deflection is greater than 2 mm, it indicates that the pressure difference on both sides of the partition is large, there is a risk of blockage, and the partition porosity needs to be increased; when the partition deformation is small, such as the deflection is less than 0.5 mm, it indicates that the partition permeability is too high, resulting in sludge penetration, and the partition porosity needs to be reduced. The control system determines the adjustment direction and amount of the partition porosity according to the preset control logic, such as segmented control or fuzzy control. For example, when the partition deflection is greater than 2 mm, the control system determines that the partition porosity needs to be increased by 5%; when the partition deflection is less than 0.5 mm, the control system determines that the partition porosity needs to be reduced by 3%.The control system changes the opening of the pores on the partition by controlling an electric actuator, such as a stepper motor, installed on the partition, thereby adjusting the porosity of the partition. The electric actuator precisely adjusts the opening of the pores on the partition with a resolution of 0.1% by controlling the rotation angle of the stepper motor. : The control system calculates the theoretical residence time of sewage in the reactor unit according to the sludge treatment concentration target value and the current inlet flow rate. For example, if the effective volume of the reactor unit is 100 cubic meters, the inlet flow rate is 25 cubic meters per hour, and the sludge treatment concentration target value is 4000 mg / L, the control system calculates the theoretical residence time to be 4 hours. The control system controls the actual residence time to be close to the theoretical residence time by adjusting the height of the outlet weir of the reactor unit or the opening of the outlet valve. In order to monitor the MLSS value of the sludge settling area in real time, the control system installs an MLSS sensor in the sludge settling area. The MLSS sensor can adopt the optical method or ultrasonic method measurement principle, with a measurement range of 1000 mg / L to 10000 mg / L and a measurement accuracy of plus or minus 1%. The MLSS sensor transmits the measured value to the signal acquisition module of the control system in the form of a 4 mA to 20 mA current signal. The control system collects the measured value of the MLSS sensor at a frequency of once per minute to obtain the real-time MLSS monitoring value. The control system compares the real-time MLSS monitoring value with the target value of the sludge treatment concentration (for example, 4000 mg / L) and calculates the deviation between the two. For example, the current MLSS monitoring value is 200 mg / L lower than the target value. The control system calculates the adjustment amount of the sludge settling control based on the deviation value and the preset control algorithm, such as the PID control algorithm. For example, the control system calculates that the sludge return volume in the sludge settling area needs to be increased by 1 cubic meter per hour based on the PID control algorithm. The control system achieves precise regulation of the sludge return volume by controlling the speed of the sludge return pump or the opening of the valve. For example, the control system increases the speed of the sludge return pump by 10%. In addition, the control system can also adjust the dissolved oxygen concentration, stirring intensity and other parameters in the sludge settling area according to the changing trend of the MLSS monitoring value to optimize the sludge settling effect. For example, when the MLSS monitoring value continues to decrease, the control system can reduce the dissolved oxygen concentration in the sludge settling area to inhibit the growth of aerobic bacteria and promote the settling of anaerobic bacteria. The control system stores the adjusted parameter values ​​and control instructions in the database and continuously monitors and adjusts the sludge settling process. By dynamically controlling and adjusting sludge settling according to the real-time MLSS monitoring value, the control system can ensure that the sludge concentration is maintained near the target value, ensuring the stability and reliability of the sewage treatment effect.

[0153] Preferably, the sludge settling dynamic control and regulation specifically comprises the following steps:

[0154] Based on the real-time MLSS monitoring value, the state of the MLSS value of the sludge settling area is judged. If the MLSS is lower than 2500 mg / L, it is judged to be too low; if the MLSS is higher than 4500 mg / L, it is judged to be too high; if the MLSS is between 2500 mg / L and 4500 mg / L, it is judged to be normal;

[0155] When MLSS is lower than 2500 mg / L, the inclination angle of the inclined plate is increased, and the target value is 30 degrees. The inclination angle of the inclined plate is adjusted by a stepper motor to increase the sedimentation rate of the sludge.

[0156] When MLSS is higher than 4500mg / L, the inclination angle of the inclined plate is reduced to a target value of 15 degrees. The inclination angle of the inclined plate is adjusted by a stepper motor to reduce the sludge settling speed, causing some sludge to overflow and prevent excessive accumulation.

[0157] When MLSS is between 2500mg / L and 4500mg / L, maintain the inclined plate at the current inclination angle to maintain normal sedimentation efficiency.

[0158] In an embodiment of the present invention, the control system compares the real-time MLSS monitoring value with a preset threshold value. The preset threshold value includes a MLSS too low threshold value (2500 mg / L) and a MLSS too high threshold value (4500 mg / L). If the real-time MLSS monitoring value is lower than 2500 mg / L, the control system determines that the MLSS is in a too low state; if the real-time MLSS monitoring value is higher than 4500 mg / L, the control system determines that the MLSS is in a too high state; if the real-time MLSS monitoring value is between 2500 mg / L and 4500 mg / L, the control system determines that the MLSS is in a normal state. For example, when the real-time MLSS monitoring value collected by the control system is 2300 mg / L, which is lower than the too low threshold of 2500 mg / L, the control system determines that the current MLSS is in a too low state; when the real-time MLSS monitoring value is 4600 mg / L, which is higher than the too high threshold of 4500 mg / L, the control system determines that the current MLSS is in a too high state; when the real-time MLSS monitoring value is 3500 mg / L, which is between 2500 mg / L and 4500 mg / L, the control system determines that the current MLSS is in a normal state. The control system presets a target value of the inclination angle of the inclined plate in the state of too low MLSS, such as 30 degrees. The control system reads the actual inclination angle of the current inclined plate, such as 20 degrees, and calculates the angle difference that needs to be adjusted, that is, 10 degrees (30 degrees minus 20 degrees). The control system drives the inclined plate to adjust the inclination angle by controlling the stepper motor installed on the inclined plate. The step angle of the stepper motor is 1.8 degrees, and the control system calculates that the number of steps to be executed is 5.56 steps (10 degrees divided by 1.8 degrees per step). Since the stepper motor cannot execute decimal steps, the control system rounds it to 6 steps. The control system sends a control signal to the stepper motor driver to control the stepper motor to rotate clockwise for 6 steps to increase the inclination angle of the inclined plate. The control system monitors the actual inclination angle of the inclined plate in real time, and stops the rotation of the stepper motor when the actual inclination angle reaches the target value of 30 degrees. By increasing the inclination angle of the inclined plate, the sedimentation velocity component of the sludge particles in the vertical direction can be increased, thereby improving the sedimentation efficiency of the sludge and gradually returning the MLSS value to the normal range. The control system presets a target value for the inclination angle of the inclined plate when the MLSS is too high, such as 15 degrees. The control system reads the actual inclination angle of the current inclined plate, such as 25 degrees, and calculates the angle difference that needs to be adjusted, that is, 10 degrees (25 degrees minus 15 degrees). The control system drives the inclined plate to adjust the inclination angle by controlling the stepper motor installed on the inclined plate. The control system sends a control signal to the stepper motor driver to control the stepper motor to rotate counterclockwise for 6 steps to reduce the inclination angle of the inclined plate. The control system monitors the actual inclination angle of the inclined plate in real time, and stops the rotation of the stepper motor when the actual inclination angle reaches the target value of 15 degrees. By reducing the inclination angle of the inclined plate, the sedimentation velocity component of the sludge particles in the vertical direction can be reduced, thereby reducing the sedimentation efficiency of the sludge, allowing part of the sludge to overflow and be discharged with the effluent weir, preventing excessive accumulation of sludge in the sedimentation area, resulting in an excessively high MLSS value.The control system reads the actual inclination angle of the current inclined plate, for example, 20 degrees. Since the MLSS is within the normal range, the control system determines that there is no need to adjust the inclination angle of the inclined plate. The control system maintains the current control state and does not issue new control instructions to the stepper motor, so that the inclination angle of the inclined plate is maintained at the current value. By maintaining the current inclination angle of the inclined plate, the normal sludge settling efficiency in the sludge settling area can be maintained, ensuring that the sludge concentration is stable within a reasonable range. The control system continuously monitors the changes in MLSS. Once MLSS exceeds the normal range, the corresponding control strategy (increase or decrease the inclination angle of the inclined plate) is executed according to the specific situation.

[0159] Preferably, the present invention further provides a control system for sewage treatment equipment, which executes the control method for sewage treatment equipment as described above, and the control system for sewage treatment equipment comprises:

[0160] The sewage flow collection module is used to collect the instantaneous flow of sewage entering the treatment equipment in real time using the electromagnetic flowmeter installed on the water inlet pipeline, and transmit the collected flow value to the control system in the form of a digital signal to obtain the original water inlet flow data;

[0161] A flexible sewage buffer module is used to set a buffer cavity made of flexible material at the water inlet end of the sewage treatment equipment; the volume of the buffer cavity is adjusted in real time according to the original water inlet flow data to obtain a dynamic adjustment strategy for the volume of the flexible buffer cavity; wherein the flexible material is silicone rubber, and the initial volume of the buffer cavity is 10%-20% of the rated water treatment volume of the sewage treatment equipment;

[0162] The buffer effect evaluation module evaluates the smoothness of water discharge from the buffer cavity after the flexible buffer volume dynamic adjustment strategy is executed to obtain buffer effect evaluation data;

[0163] The sludge settling control module is used to control the inlet opening of the reactor unit in the sewage treatment equipment by using a micro electromagnetic valve to control the water inlet flow balance of the reactor unit; and adjust the porosity of the reactor unit partition to realize dynamic control and regulation of sludge settling.

[0164] Preferably, the present invention further provides a computer-readable storage medium storing a computer program, wherein the computer program, when executed, implements the control method for the sewage treatment equipment as described in any one of the above.

[0165] The present application is to utilize the dynamic adjustment strategy of the flexible buffer chamber to effectively cope with the instantaneous change of the inlet flow rate, significantly improve the system's anti-shock ability, and avoid the decline of treatment efficiency or system collapse caused by sudden flow changes. The flexible buffer chamber adopts high-performance flexible materials such as silicone rubber, combined with real-time flow monitoring and PID control algorithm, and can quickly adjust the volume of the buffer chamber according to the change of the inlet flow rate, so as to achieve buffering and peak cutting of the impact load, thereby providing stable hydraulic conditions for subsequent treatment units. The sludge settling process is further optimized by the precise control of the reactor unit inlet by the micro-solenoid valve and the dynamic adjustment of the partition porosity. Based on the feedback mechanism of the real-time MLSS monitoring value, the inclination angle of the inclined plate can be automatically adjusted according to the change of the sludge concentration, and the dynamic control of the sludge settling rate can be achieved, which effectively prevents excessive accumulation or loss of sludge and ensures that the sludge concentration is maintained within the target range. This refined control strategy not only improves the sludge treatment efficiency, but also reduces the risk of excessive effluent water quality caused by sludge concentration fluctuations, and significantly improves the overall performance and stability of the sewage treatment system. By optimizing the buffer chamber volume adjustment strategy and the sludge settling control process, unnecessary energy consumption is reduced and the operating cost of sewage treatment equipment is reduced. At the same time, the design of the flexible buffer chamber reduces the dependence on traditional regulating tanks and equalizing tanks, reduces the system's footprint and construction costs, and is particularly suitable for the upgrade and renovation and new construction projects of small and medium-sized sewage treatment plants.

[0166] Therefore, the embodiments should be regarded as illustrative and non-restrictive from all points, and the scope of the present invention is limited by the appended claims rather than the above description, and it is therefore intended that all changes falling within the meaning and range of equivalent elements of the application documents are included in the present invention.

[0167] The above description is only a specific embodiment of the present invention, so that those skilled in the art can understand or implement the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but should conform to the widest scope consistent with the principles and novel features invented herein.

Claims

1. A control method for sewage treatment equipment, characterized in that: The following steps are involved: The electromagnetic flowmeter installed on the water inlet pipeline is used to collect the instantaneous flow of sewage entering the treatment equipment in real time, and the collected flow value is transmitted to the control system in the form of a digital signal to obtain the original water inlet flow data; A buffer cavity made of a flexible material is provided at the water inlet end of the sewage treatment equipment; the volume of the buffer cavity is adjusted in real time according to the original water inlet flow data to obtain a dynamic adjustment strategy for the volume of the flexible buffer cavity; wherein the flexible material is silicone rubber, and the initial volume of the buffer cavity is 10%-20% of the rated water treatment volume of the sewage treatment equipment; If the flexible buffer volume dynamic adjustment strategy is executed and the buffer cavity volume adjustment is completed, the smoothness of water discharge from the buffer cavity is evaluated to obtain buffer effect evaluation data; The inlet opening of the reactor unit in the sewage treatment equipment is controlled by a micro electromagnetic valve to control the balance of the water inlet flow of the reactor unit; the porosity of the reactor unit partition is adjusted to realize dynamic control and regulation of sludge sedimentation.

2. The control method of sewage treatment equipment according to claim 1, characterized in that: The real-time adjustment of the buffer chamber volume comprises the following steps: The difference between the flow values ​​of two consecutive sampling points is calculated based on the original inlet flow data, and divided by the time interval to obtain the inlet flow change rate data; The flow mutation threshold is set to be 10% of the standard deviation of the flow value at the sampling point; The flow mutation threshold is used to determine whether there is a flow mutation in the water inlet flow rate change data. When the water inlet flow rate change data exceeds the threshold, it is determined that there is a flow mutation, the moment when the mutation occurs is marked, and a flow mutation mark value is generated; Send traffic warning signals to the host computer according to the traffic mutation mark value; The volume of the buffer cavity is adjusted in real time to obtain a dynamic adjustment strategy for the volume of the flexible buffer cavity.

3. The control method of sewage treatment equipment according to claim 2, characterized in that: The flexible buffer chamber volume dynamic adjustment strategy comprises the following steps: According to the flow mutation mark value, the maximum value of the flow increase after the flow mutation occurs is found to obtain the impact flow peak value; The theoretical buffer volume required is calculated based on the buffer coefficient and the buffer time of the impact flow peak, and the volume adjustment amount is limited through the preset safety adjustment range to obtain the theoretical buffer volume; wherein the buffer coefficient is set to 0.8 and the buffer time is set to 10 minutes; The liquid level in the buffer chamber is measured by an ultrasonic liquid level meter to obtain a liquid level measurement value; Calculating the actual volume of the buffer cavity according to the liquid level height measurement value and the extracted real-time buffer cavity geometric parameters to obtain the actual buffer cavity volume; Obtaining the damping coefficient of the flexible buffer cavity; The damping coefficient, buffer time, theoretical buffer volume and actual buffer volume of the flexible buffer cavity are used as inputs of a PID controller, and a buffer volume control step is set to obtain a buffer cavity control signal; Based on the buffer cavity control signal, the flexible actuator is controlled to perform a buffer volume adjustment operation to obtain a flexible buffer cavity volume dynamic adjustment strategy.

4. The control method of sewage treatment equipment according to claim 3, characterized in that: The method of using the control flexible actuator to perform the buffer volume adjustment operation comprises the following steps: A pressure sensor array is arranged on the inner wall of the buffer cavity; Based on the set buffer volume control step, the pressure sensor array is used to monitor the inner wall pressure of the buffer cavity in real time to obtain the inner wall pressure data of the buffer cavity; Calculate the control step pressure gradient value through the buffer cavity inner wall pressure data to obtain pressure gradient data; If the absolute value of the pressure gradient data is greater than a preset pressure threshold, dynamically adjusting the damping coefficient of the flexible buffer cavity to obtain dynamic flexible damping coefficient data; Performing real-time buffer volume correction on the theoretical buffer volume according to the set buffer volume control step and the pressure gradient data to obtain corrected buffer volume data; The dynamic flexible damping coefficient data and the corrected buffer volume data are fed back to the PID controller to dynamically correct the buffer volume adjustment process and obtain the flexible buffer volume dynamic adjustment strategy.

5. The control method of sewage treatment equipment according to claim 4, characterized in that: The real-time buffer volume correction comprises the following steps: The buffer cavity volume adjustment change rate is calculated by the set buffer volume control step, and the absolute value of the volume change amplitude is calculated by the initial volume of the buffer cavity to obtain the buffer cavity volume change amplitude data; Performing control step accumulation processing according to the buffer cavity volume change amplitude data to obtain buffer cavity cumulative change data; Mapping the change interval of the accumulated change data of the buffer cavity, and querying the deformation parameters of the flexible material to obtain the material deformation parameters of the real-time control step; The deformation performance of the buffer cavity is analyzed according to the material deformation parameters of the real-time control step and the pressure gradient data, and the theoretical buffer volume is corrected to obtain corrected buffer volume data.

6. The control method of sewage treatment equipment according to claim 1, characterized in that: The evaluation of the smoothness of water discharge from the buffer chamber comprises the following steps: If the flexible buffer volume dynamic adjustment strategy is executed and the buffer chamber volume adjustment is completed, the instantaneous flow value of the buffer chamber outlet pipeline is collected; Calculating the average water outflow per unit time based on the instantaneous flow value of the water outflow pipeline of the buffer chamber to obtain the average water outflow of the buffer chamber; The water outlet fluctuation threshold is set to 5% of the standard deviation of the instantaneous flow value of the buffer chamber outlet pipeline, and the stability of the water outlet flow is judged by the average water outlet flow of the buffer chamber. When the average water outlet flow of the buffer chamber is less than the threshold, the water outlet flow is judged to be stable to obtain buffering effect evaluation data, otherwise the hydraulic buffering degree is improved by the flexible buffer volume dynamic adjustment strategy.

7. The control method of sewage treatment equipment according to claim 1, characterized in that: The method of adjusting the porosity of the reactor unit partition comprises the following steps: Using a micro electromagnetic valve to control the inlet opening of the reactor unit in the sewage treatment equipment to control the balance of the water inlet flow of the reactor unit; Reading the current hydraulic load pressure value of the microfluidic channel of the reactor unit according to the buffer effect evaluation data to obtain a microfluidic pressure feedback value; Obtain the target value of sludge treatment concentration; Reading the deformation amount of the sludge settling baffle in the current reactor unit through the microfluid pressure feedback value; adjusting the porosity of the partition in real time according to the deformation amount of the sludge sedimentation partition; Based on the sludge treatment concentration target value, the sewage retention treatment time is controlled, and the mixed liquor suspended solids concentration value in the sludge settling zone is monitored in real time to obtain a real-time MLSS monitoring value; The sludge settling is dynamically controlled and adjusted according to the real-time MLSS monitoring value.

8. The control method of sewage treatment equipment according to claim 7, characterized in that: The sludge settling dynamic control and regulation comprises the following steps: Based on the real-time MLSS monitoring value, the state of the MLSS value of the sludge settling area is judged. If the MLSS is lower than 2500 mg / L, it is judged to be too low; if the MLSS is higher than 4500 mg / L, it is judged to be too high; if the MLSS is between 2500 mg / L and 4500 mg / L, it is judged to be normal; When MLSS is lower than 2500 mg / L, the inclination angle of the inclined plate is increased, and the target value is 30 degrees. The inclination angle of the inclined plate is adjusted by a stepper motor to increase the sedimentation rate of the sludge. When MLSS is higher than 4500mg / L, the inclination angle of the inclined plate is reduced to a target value of 15 degrees. The inclination angle of the inclined plate is adjusted by a stepper motor to reduce the sludge settling speed, causing some sludge to overflow and prevent excessive accumulation. When MLSS is between 2500mg / L and 4500mg / L, maintain the inclined plate at the current inclination angle to maintain normal sedimentation efficiency.

9. A control system for sewage treatment equipment, characterized in that: Used to execute the control method of the sewage treatment equipment according to claim 1, the control system of the sewage treatment equipment comprises: The sewage flow collection module is used to collect the instantaneous flow of sewage entering the treatment equipment in real time using the electromagnetic flowmeter installed on the water inlet pipeline, and transmit the collected flow value to the control system in the form of a digital signal to obtain the original water inlet flow data; A flexible sewage buffer module is used to set a buffer cavity made of flexible material at the water inlet end of the sewage treatment equipment; the volume of the buffer cavity is adjusted in real time according to the original water inlet flow data to obtain a dynamic adjustment strategy for the volume of the flexible buffer cavity; wherein the flexible material is silicone rubber, and the initial volume of the buffer cavity is 10%-20% of the rated water treatment volume of the sewage treatment equipment; The buffer effect evaluation module evaluates the smoothness of water discharge from the buffer cavity after the flexible buffer volume dynamic adjustment strategy is executed to obtain buffer effect evaluation data; The sludge settling control module is used to control the inlet opening of the reactor unit in the sewage treatment equipment by using a micro electromagnetic valve to control the water inlet flow balance of the reactor unit; and adjust the porosity of the reactor unit partition to realize dynamic control and regulation of sludge settling.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed, the control method of the sewage treatment equipment according to any one of claims 1 to 8 is implemented.

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