Real-time monitoring system for MBR membrane fouling level for motor torque monitoring

Abstract

This invention belongs to the field of MBR membrane monitoring technology, specifically a real-time monitoring system for MBR membrane fouling levels based on motor torque monitoring. It includes a motor torque real-time sensing module, a correlation analysis and processing module, a fouling level grading and decision-making module, a graded response execution and control module, and a monitoring and control terminal. The system collects and outputs standardized data frames through the motor torque real-time sensing module; the correlation analysis and processing module converts torque into an intuitive fouling index; the fouling level grading and decision-making module accurately determines low, medium, and high fouling levels according to preset thresholds; the graded response execution module automatically completes corresponding control operations based on control commands; the membrane module motion state stabilization module maintains a constant frequency; and the accuracy impact decision-making module provides real-time warnings of the impact of frequency fluctuations on monitoring accuracy. This achieves real-time sensing, accurate judgment, and intelligent response to MBR membrane fouling, perfectly adapting to the high-efficiency characteristics of vibration scrubbing technology and significantly improving system intelligence and operational reliability.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of MBR membrane monitoring, in particular to an MBR membrane pollution degree real-time monitoring system for motor torque monitoring. BACKGROUND

[0002] In the MBR (membrane bioreactor) process, membrane pollution is the main problem that leads to system performance decline, energy consumption increase and membrane life shortening. In order to control membrane pollution, various membrane scrubbing technologies have emerged, among which the vibration scrubbing technology as a new emerging efficient and low energy consumption technology directly drives the membrane wire to swing through mechanical reciprocating motion, so that the membrane wire and the mixed liquid form relative motion. In the case of low flow rate on the membrane surface, the inertia force and the water flow shear force effectively scrub the membrane wire.

[0003] Compared with the traditional aeration scrubbing technology (such as perforated aeration and pulse aeration), the vibration scrubbing technology has the outstanding advantages of more uniform scrubbing and significantly reduced energy consumption (ton of water power consumption can be as low as 0.01 kWh), and has gradually replaced the traditional aeration scrubbing technology and been widely applied.

[0004] However, the pollution monitoring of the conventional MBR system is still mainly based on TMP monitoring, that is, the MBR process generally uses monitoring of the change of transmembrane pressure difference (TMP) to indirectly reflect the severity of membrane pollution. This method has obvious hysteresis, and only when the membrane surface pollutants accumulate in large quantities and the membrane holes are blocked, the TMP will significantly increase. At this time, it is difficult to avoid membrane damage by intervention, and the cleaning difficulty and cost will increase.

[0005] Therefore, although the vibration scrubbing technology performs well in pollution control, the current vibration scrubbing system still lacks a pollution monitoring method that can match its efficient scrubbing characteristics and has strong real-time performance. It is difficult to combine the advanced vibration scrubbing technology with real-time and accurate pollution monitoring methods, and it is difficult to improve the intelligent level and operation reliability of the MBR system. The automation level is low.

[0006] In view of the above technical defects, a solution is proposed. SUMMARY

[0007] The purpose of the present application is to provide an MBR membrane pollution degree real-time monitoring system for motor torque monitoring to solve the technical defects proposed in the background art.

[0008] To achieve the above purpose, the present application provides the following technical scheme: an MBR membrane pollution degree real-time monitoring system for motor torque monitoring, comprising a motor torque instant perception module, an associated analysis processing module, a pollution degree grading determination and decision module, a graded response execution control module and a monitoring control end.

[0009] The motor torque real-time sensing module collects the raw signal of the driving motor's operating torque and environmental and operating condition auxiliary parameters in real time. Through signal conditioning and digital conversion, it outputs standardized data frames. The correlation analysis and processing module, based on the standardized data frames, eliminates environmental interference through temperature correction and uses a pollution index quantitative model to establish the correlation between torque and membrane fouling degree, generating a real-time membrane fouling index.

[0010] The pollution level classification and decision-making module determines the pollution level of the membrane module based on the membrane fouling index and a preset pollution threshold, generates targeted control commands, and sends them to the graded response execution and control module and the monitoring and control terminal. The graded response execution and control module accurately executes the corresponding actions based on the control commands, monitors the execution process status in real time, and sends the execution status information to the monitoring and control terminal.

[0011] Furthermore, the monitoring and control terminal is connected to the membrane module motion status stabilization module. The membrane module motion status stabilization module has a built-in frequency feedback unit and PWM control unit, which are used to maintain the constant reciprocating motion frequency of the vibrating and wiping membrane module, and send the membrane module motion frequency control information to the monitoring and control terminal.

[0012] Furthermore, the specific operation process of the membrane module motion state stabilization module is as follows:

[0013] The frequency feedback unit reads the system's preset standard reciprocating frequency fstd and captures the actual reciprocating frequency freal of the drive motor in real time through the frequency sensor. The actual reciprocating frequency freal is compared with the standard reciprocating frequency fstd, and the frequency deviation Δf = |freal-fstd| is calculated. The frequency deviation Δf is then compared with the allowable frequency deviation threshold in real time.

[0014] When the frequency deviation Δf exceeds the allowable frequency deviation threshold, it is determined that the frequency is in a state of instability. The PWM control unit immediately outputs a dynamic adjustment signal to correct the motor speed by adjusting the power supply voltage of the drive motor, so that the reciprocating frequency of the diaphragm module returns to the standard reciprocating frequency fstd.

[0015] Furthermore, the membrane module motion state stabilization module communicates with the accuracy impact decision module. The membrane module motion state stabilization module sends the membrane module motion frequency control information to the accuracy impact decision module. The accuracy impact decision module analyzes the reciprocating motion frequency control performance of the membrane module and judges the accuracy impact on the MBR membrane fouling analysis results. When an accuracy impact warning signal is generated, it is sent to the monitoring and control terminal. When the monitoring and control terminal receives the accuracy impact warning signal, it issues a corresponding warning.

[0016] Furthermore, the specific analysis process of how accuracy affects the decision-making module is as follows:

[0017] The total duration of frequency instability within a unit of time is obtained and marked as frequency control duration. The frequency control duration is compared with a preset frequency control duration threshold. If the frequency control duration exceeds the preset frequency control duration threshold, an accuracy impact warning signal is generated.

[0018] If the frequency control duration does not exceed the preset frequency control duration threshold, the maximum value of the frequency deviation per unit time is marked as the frequency deviation amplitude, and the average control time per unit time for the frequency to recover from the frequency destabilization state to the standard reciprocating motion frequency fstd is marked as the frequency stabilization value. The frequency stabilization decision value is obtained by weighted summation of the frequency control duration, frequency deviation amplitude, and frequency stabilization value. The frequency stabilization decision value is compared with the preset frequency stabilization decision threshold. If the frequency stabilization decision value exceeds the preset frequency stabilization decision threshold, an accuracy impact warning signal is generated.

[0019] Furthermore, the motor torque real-time sensing module deploys a high-precision strain gauge torque sensor at the output shaft of the drive motor of the membrane module to capture the raw analog torque signal τraw during motor operation in real time, and collects the temperature parameter T of the membrane module's operating environment in real time through a temperature sensor.

[0020] The built-in signal conditioning circuit preprocesses the analog signal, using a second-order Butterworth low-pass filter to remove high-frequency noise from electromagnetic interference and mechanical vibration. The signal is then amplified to the standard range of 0-5V by an instrumentation amplifier. Subsequently, a 16-bit A / D converter converts the conditioned analog signal into digital signals τdig and Tdig. The digital signal is encapsulated in a fixed format of "timestamp-motor number-torque digital value τdig-ambient temperature digital value Tdig" to form a standardized data frame, which is then transmitted in real time to the associated parsing and processing module via an RS485 bus.

[0021] Furthermore, the specific operation process of the association resolution processing module is as follows:

[0022] Standardized data frames are received via RS485 bus, decapsulated, and the digital values ​​of the drive motor torque (τdig) and ambient temperature (Tdig) are extracted. The torque data is then temperature-corrected. After temperature correction, based on the principle that "fluid viscosity is proportional to driving force" derived from the Navier-Stokes equations, and combined with the correlation between membrane fouling degree and torque, a quantitative calculation model for the membrane fouling index is established. After calculating the real-time membrane fouling index (PI) of the membrane module, the real-time membrane fouling index PI is transmitted to the fouling degree classification decision module via Ethernet.

[0023] Furthermore, the specific operation process of the pollution level classification decision-making module is as follows:

[0024] The system receives the real-time membrane fouling index PI and retrieves the fouling thresholds, where the low fouling threshold PI1 = 30% and the high fouling threshold PI2 = 75%. The system compares the real-time membrane fouling index PI with the fouling thresholds one by one to determine the corresponding membrane fouling level. The system then associates the real-time membrane fouling index PI, the fouling level, the control command, and the determination timestamp to form a decision data frame, which is transmitted in real time to the graded response execution control module and the monitoring and control terminal via the CAN bus.

[0025] Furthermore, the method for determining the membrane fouling level is as follows:

[0026] When PI≤PI1, it is determined to be a low pollution level, and a control command to "maintain current operation" is generated; when PI1<PI≤PI2, it is determined to be a medium pollution level, and a control command to "activate pollution warning" is generated; when PI>PI2, it is determined to be a high pollution level, and a control command to "activate in-situ cleaning procedure" is generated.

[0027] Furthermore, the graded response execution control module receives decision data frames transmitted by the pollution level grading determination decision module via the CAN bus. After decapsulation, it extracts the membrane module number, control command, and determination timestamp. The built-in audible and visual alarm unit, in-situ cleaning unit, and status monitoring unit execute corresponding operations based on the control command type.

[0028] When the "maintain current operation" control command is received, the status monitoring unit only records the current operating status of the membrane module and does not activate the audible and visual alarm unit or the in-situ cleaning unit. After the recording is completed, a "execution completed - maintain operation" feedback signal is generated.

[0029] When the "Activate Pollution Warning" control command is received, the audible and visual alarm unit is activated, and an audible and visual alarm is issued for 30 seconds at a frequency of 1Hz. At the same time, the warning information is sent to the monitoring and control terminal through the RS232 interface. After the alarm ends, the status monitoring unit records the warning execution status and generates a "Execution Completed - Warning Activated" feedback signal.

[0030] When the control command "Start In-situ Cleaning Program" is received, the in-situ cleaning unit is started, and the cleaning fluid injection pump is started. At the same time, the torque change of the drive motor during the cleaning process is collected in real time through the status monitoring unit. When the torque value drops to within τ0+10%, the cleaning fluid injection pump is automatically stopped, the in-situ cleaning is completed, the status monitoring unit records the cleaning parameters and generates a feedback signal of "Execution Completed - Cleaning Ended".

[0031] Compared with the prior art, the beneficial effects of the present invention are:

[0032] 1. In this invention, standardized data frames are collected and output. Environmental interference is eliminated based on temperature correction. Torque is converted into an intuitive pollution index based on a quantitative model. Low, medium and high pollution levels are accurately determined according to preset thresholds and targeted control commands are generated. Based on the control commands, operation maintenance, audible and visual warnings or in-situ cleaning are automatically completed. Real-time perception, accurate determination and intelligent response of MBR membrane pollution are achieved. It perfectly adapts to the high efficiency characteristics of vibration scrubbing technology and greatly improves the intelligence and operational reliability of the system.

[0033] 2. In this invention, the reciprocating motion frequency of the membrane module is kept constant by the membrane module motion state stabilization module, ensuring that the membrane module always operates at the set wiping intensity. This avoids additional fluctuations in the drive motor torque caused by motion frequency fluctuations, which are not due to pollution factors. Furthermore, by analyzing the reciprocating motion frequency control performance of the membrane module, an accuracy impact warning signal is generated to remind management personnel to investigate the problem. This helps to reduce the impact on the accuracy of pollution analysis and ensure the reliability of monitoring results. Attached Figure Description

[0034] To facilitate understanding by those skilled in the art, the present invention will be further described below with reference to the accompanying drawings;

[0035] Figure 1 This is a system block diagram of Embodiment 1 of the present invention;

[0036] Figure 2 This is a system block diagram of Embodiments 2 and 3 of the present invention. Detailed Implementation

[0037] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0038] Example 1: As Figure 1 As shown, the real-time monitoring system for MBR membrane fouling degree oriented to motor torque monitoring proposed in this invention includes a motor torque instant sensing module, a correlation analysis and processing module, a fouling degree classification and decision-making module, a graded response execution and control module, and a monitoring and control terminal.

[0039] The motor torque real-time sensing module collects the raw torque signal of the drive motor and environmental and operating condition auxiliary parameters in real time. Through signal conditioning and digital conversion, it outputs standardized data frames to achieve high-frequency, low-noise acquisition of torque data and core environmental parameters. Digital conversion and standardized packaging ensure the integrity and identifiability of the data, which is convenient for subsequent modules to quickly analyze. It also focuses on core related parameters (torque + temperature) to avoid hardware redundancy and data interference caused by redundant parameters, thereby reducing hardware costs and data processing pressure.

[0040] Specifically, the motor torque real-time sensing module deploys a high-precision strain gauge torque sensor (measurement range 0-50 N·m, accuracy ±0.1% FS) at the output shaft of the drive motor of the membrane module, which captures the original analog torque signal τraw during the motor operation in real time at a sampling frequency of 100 Hz, and collects the temperature parameter T of the membrane module's operating environment in real time through the built-in temperature sensor (measurement range 0-60℃, accuracy ±0.5℃);

[0041] The acquired τraw and T are both analog signals. The built-in signal conditioning circuit preprocesses the analog signals: a second-order Butterworth low-pass filter (cutoff frequency 10Hz) is used to remove high-frequency noise caused by electromagnetic interference and mechanical vibration. The signal is amplified to the standard range of 0-5V by the instrumentation amplifier. Then, the conditioned analog signal is converted into digital signals τdig and Tdig by the 16-bit A / D converter.

[0042] Finally, the digital signal is encapsulated in a fixed format of "timestamp (accurate to millisecond) - motor number - torque digital value τdig - ambient temperature digital value Tdig" to form a standardized data frame, which is then transmitted in real time to the associated parsing and processing module via RS485 bus.

[0043] The correlation analysis module, based on standardized data frames, eliminates environmental interference through temperature correction and establishes a correlation between torque and membrane fouling level using a quantitative fouling index model. This generates a real-time membrane fouling index. The temperature correction formula effectively eliminates the interference of ambient temperature on torque data, ensuring the validity of the torque signal. Furthermore, the quantitative fouling index model transforms the abstract fouling state into intuitive percentage values, avoiding the ambiguity and risk of misjudgment in qualitative assessments and ensuring the accuracy and reliability of the calculation results. Specifically, the operation process of the correlation analysis module is as follows:

[0044] The system receives standardized data frames transmitted from the motor torque real-time sensing module via RS485 bus. First, the data frames are decapsulated to extract the digital value of the drive motor's torque τdig and the digital value of the ambient temperature Tdig. Considering that temperature changes can cause slight fluctuations in the viscosity of the mixture, thus affecting the drive motor's torque, the torque data is first corrected for temperature. The correction formula is as follows:

[0045] ;

[0046] Where τcorr represents the corrected torque value of the drive motor, that is, the effective torque value after eliminating temperature interference;

[0047] kT represents the temperature correction factor (with a value range of 0.002-0.005℃⁻¹, obtained through experimental calibration: within the range of 5-50℃, keeping the membrane fouling state constant, the torque values ​​at different temperatures are measured, and the linear relationship between temperature and torque is fitted; the slope is kT).

[0048] Tref represents the standard reference temperature (set to 25°C, which is the optimal temperature for normal operation of the MBR system and serves as the basis for temperature correction).

[0049] After temperature correction, based on the principle that "fluid viscosity is proportional to driving force" derived from the Navier-Stokes equations, and combined with the correlation between membrane fouling degree and torque, a quantitative calculation model for the membrane fouling index is established, as shown in the following formula:

[0050] ;

[0051] Wherein, PI represents the real-time membrane fouling index (unit: %, value range: 0-100%, the larger the PI value, the more severe the membrane fouling).

[0052] τ0 represents the initial torque value of the membrane module under clean conditions (unit: N·m; calibration method: when the membrane module is not in contact with the mixed liquid and there are no contaminants attached, start the drive motor to run at the standard frequency fstd, continuously collect 100 sets of torque data through the acquisition module, and take the average value as τ0; each membrane module is calibrated independently).

[0053] τmax represents the maximum safe torque value allowed by the membrane module (unit: N·m). The method for determining this value is: combining the membrane module material's strength (provided by the manufacturer, such as a maximum allowable torque of 35 N·m) and the rated output torque of the drive motor (such as 40 N·m), and taking 80% of the minimum of the two values. That is, τmax = min(maximum allowable torque of the membrane module, rated torque of the motor) × 0.8, to avoid excessive torque that could lead to membrane fiber breakage or motor damage.

[0054] After calculating the real-time membrane fouling index PI of the membrane module (it should be noted that if each membrane module is equipped with two independent drive motors, the average value of the PI values ​​of the two motors of the same membrane module is used to represent the real-time membrane fouling index, thereby improving reliability), the real-time membrane fouling index PI is transmitted to the fouling level classification decision module via Ethernet.

[0055] The fouling level grading decision-making module, based on the membrane fouling index and a preset fouling threshold, determines the fouling level of the membrane module, generates targeted control commands, and sends them to the graded response execution and control module and the monitoring and control terminal. This achieves refined determination of MBR membrane fouling levels, avoiding the problems of untimely intervention or over-cleaning caused by a single threshold, and improving the flexibility of the control strategy. The specific operation process of the fouling level grading decision-making module is as follows:

[0056] First, the system receives the real-time membrane fouling index (PI) of the membrane module from the correlation analysis processing module. Then, it retrieves the fouling thresholds, where the low fouling threshold PI1 = 30% and the high fouling threshold PI2 = 75%. The real-time membrane fouling index PI is compared with each of the fouling thresholds to determine the corresponding membrane fouling level.

[0057] When PI≤PI1, it indicates that there are few contaminants on the membrane surface, which do not affect the membrane flux and system operation. It is judged as a low pollution level, and a control command to "maintain current operation" is generated.

[0058] When PI1 < PI ≤ PI2, it indicates that the pollutants on the membrane surface have accumulated to a critical state, and an early warning needs to be activated. It is judged as a medium pollution level and a control command to "activate pollution warning" is generated.

[0059] When PI > PI2, it indicates severe membrane fouling and the membrane pores are beginning to clog. In-situ cleaning needs to be started immediately, which is judged as a high fouling level and generates a control command to "start in-situ cleaning program".

[0060] Finally, the real-time membrane fouling index (PI), fouling level, control command, and judgment timestamp are correlated to form a decision data frame, which is then transmitted in real time to the graded response execution control module and the monitoring and control terminal via the CAN bus.

[0061] The graded response execution control module accurately executes corresponding actions based on control commands, monitors the execution process status in real time, and sends the execution status information to the monitoring and control terminal, realizing the precise execution of control commands. Alarms and cleaning actions correspond one-to-one with the membrane module, avoiding misoperation. Moreover, the automatic start-stop mechanism of the in-situ cleaning program is triggered based on the torque drop state, ensuring the cleaning effect while reducing chemical consumption and cleaning time, reducing operating costs, and demonstrating a high level of intelligence and automation.

[0062] Specifically, the graded response execution control module receives decision data frames transmitted by the pollution level grading determination decision module via the CAN bus. After decapsulation, it extracts the membrane module number, control command, and determination timestamp. The built-in audible and visual alarm unit, in-situ cleaning unit, and status monitoring unit execute corresponding operations based on the control command type.

[0063] When the "maintain current operation" control command is received, the status monitoring unit only records the current operating status of the membrane module (including torque, temperature, PI value, etc.), and does not activate the audible and visual alarm unit and the in-situ cleaning unit. After the recording is completed, a "execution completed - maintain operation" feedback signal is generated.

[0064] When the "Activate Pollution Warning" control command is received, the audible and visual alarm unit is activated, and an audible and visual alarm is issued for 30 seconds at a frequency of 1Hz. At the same time, the warning information (pollution level, warning time, etc.) is sent to the monitoring and control terminal through the RS232 interface. After the alarm ends, the status monitoring unit records the warning execution status and generates a "Execution Completed - Warning Activated" feedback signal.

[0065] When the control command "Start In-situ Cleaning Program" is received, the in-situ cleaning unit is started, and the cleaning fluid injection pump is started (the injection pressure is set to 0.3MPa, and the cleaning fluid is a special in-situ cleaning agent for MBR systems). At the same time, the torque change of the drive motor during the cleaning process is collected in real time through the status monitoring unit. When the torque value drops to within τ0+10% (i.e., the contamination index PI≤20%), the cleaning fluid injection pump is automatically stopped, and the in-situ cleaning is completed. The status monitoring unit records the cleaning time, torque change before and after cleaning, and other cleaning parameters, and generates a "Execution Completed - Cleaning Ended" feedback signal.

[0066] Example 2: Figure 2 As shown, the difference between this embodiment and Embodiment 1 is that the monitoring and control terminal is connected to the membrane module motion state stabilization module. This module has a built-in frequency feedback unit and PWM control unit to maintain a constant reciprocating motion frequency of the vibrating membrane module and sends the membrane module motion frequency control information to the monitoring and control terminal. This helps ensure that the membrane module always operates at the set wiping intensity, avoiding additional fluctuations in the drive motor torque due to non-pollution factors caused by motion frequency fluctuations. The specific operation process of the membrane module motion state stabilization module is as follows:

[0067] First, the frequency feedback unit reads the system's preset standard reciprocating motion frequency fstd (set according to the membrane module cleaning requirements, with a value range of 1-5Hz, determined by the user in combination with the MBR system's processing scale and membrane fiber material characteristics). Then, the frequency sensor captures the actual reciprocating motion frequency freal of the drive motor in real time (sampling frequency 50Hz, the sensor is installed at the motor output shaft end, directly collecting the motor rotor's reciprocating motion cycle and converting it into frequency).

[0068] The actual reciprocating motion frequency freal is compared with the standard reciprocating motion frequency fstd, and the frequency deviation Δf = |freal-fstd| is calculated. The frequency deviation Δf is then compared in real time with the allowable frequency deviation threshold (set to ±0.02Hz, calibrated experimentally to ensure stable scrubbing intensity).

[0069] When the frequency deviation Δf exceeds the allowable frequency deviation threshold, it is determined that the frequency is in a state of instability. The PWM control unit immediately outputs a dynamic adjustment signal to correct the motor speed by adjusting the power supply voltage of the drive motor (adjustment range 220-380V, adapted to the rated voltage of the motor), so that the reciprocating frequency of the membrane module quickly returns to the standard reciprocating frequency fstd.

[0070] Example 3: Figure 2 As shown, the difference between this embodiment and Embodiments 1 and 2 is that the membrane module motion state stabilization control module is connected to the accuracy impact decision module. The membrane module motion state stabilization control module sends the membrane module motion frequency control information to the accuracy impact decision module. The accuracy impact decision module analyzes the reciprocating motion frequency control performance of the membrane module and judges the accuracy impact on the MBR membrane fouling analysis results accordingly.

[0071] When an accuracy impact early warning signal is generated, it is sent to the monitoring and control terminal. Upon receiving the accuracy impact early warning signal, the monitoring and control terminal issues a corresponding warning to remind management personnel to investigate the cause and take reasonable improvement measures. This further ensures the stability of the membrane module's movement frequency, which helps reduce the impact on the accuracy of pollution analysis and ensures the reliability of monitoring results. The specific analysis process of the accuracy impact decision module is as follows:

[0072] The total duration of frequency instability within a unit of time is obtained and marked as frequency control duration. The frequency control duration is compared with a preset frequency control duration threshold. If the frequency control duration exceeds the preset frequency control duration threshold, an accuracy impact warning signal is generated.

[0073] If the frequency control duration does not exceed the preset frequency control duration threshold, the maximum value of the frequency deviation per unit time is marked as the frequency deviation amplitude, and the average control time per unit time for the frequency to recover from the frequency destabilization state to the standard reciprocating motion frequency fstd is marked as the frequency stabilization value. The frequency stabilization decision value is obtained by weighted summation of the frequency control duration, frequency deviation amplitude, and frequency stabilization value. The frequency stabilization decision value is compared with the preset frequency stabilization decision threshold. If the frequency stabilization decision value exceeds the preset frequency stabilization decision threshold, an accuracy impact warning signal is generated.

[0074] The working principle of this invention is as follows: During use, the motor torque real-time sensing module collects and outputs standardized data frames. The correlation analysis and processing module eliminates environmental interference through temperature correction. Relying on a quantitative model, the torque is converted into an intuitive pollution index to avoid qualitative misjudgment. The pollution level classification judgment module accurately judges low, medium, and high pollution levels according to preset thresholds and generates targeted control commands. The graded response execution module automatically completes operation maintenance, audible and visual warnings, or in-situ cleaning based on the control commands, reducing reagent consumption and costs. The membrane module motion state stabilization control module maintains a constant frequency to avoid interference with torque data from non-pollution factors. The accuracy impact decision module provides real-time warnings of the impact of frequency fluctuations on monitoring accuracy. Overall, this invention achieves real-time perception, accurate judgment, and intelligent response to MBR membrane pollution, allowing for early intervention to avoid membrane damage, significantly extending MBR membrane life and reducing operating and maintenance costs. It perfectly adapts to the high efficiency characteristics of vibration scrubbing technology, effectively solving the problems of lagging and low automation levels in traditional TMP monitoring, and greatly improving system intelligence and operational reliability.

[0075] In this invention, the threshold, preset value, or preset range settings are for result comparison and analysis to determine whether the result is good or bad. The magnitude of these values ​​is determined by a combination of large-scale model analysis of sample data and human experience, and can also be appropriately adjusted based on seasonal or common-sense influence conditions. Similarly, the preset weight coefficients and influence factors are assigned specific values ​​based on the magnitude of each parameter's influence on the result, ultimately reflecting the impact on the result. These settings are also determined by a combination of large-scale model analysis of sample data and human experience, and can also be appropriately adjusted based on seasonal or common-sense influence conditions.

[0076] The preferred embodiments of the present invention disclosed above are merely illustrative of the invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the invention to any specific implementation. Clearly, many modifications and variations can be made based on the content of this specification. This specification selects and specifically describes these embodiments to better explain the principles and practical applications of the invention, enabling those skilled in the art to better understand and utilize it. The invention is limited only by the claims and their full scope and equivalents.

Claims

1. A real-time monitoring system for MBR membrane fouling degree for motor torque monitoring, characterized in that, It includes a motor torque real-time sensing module, a correlation analysis and processing module, a pollution level classification and decision-making module, a graded response execution and control module, and a monitoring and control terminal; The motor torque real-time sensing module collects the raw signal of the driving motor's operating torque and environmental and operating condition auxiliary parameters in real time, and outputs standardized data frames through signal conditioning and digital conversion; The correlation analysis and processing module is based on standardized data frames. It eliminates environmental interference through temperature correction and uses a quantitative model of the fouling index to establish the correlation between torque and membrane fouling degree, generating a real-time membrane fouling index. The pollution level classification decision module determines the pollution level of the membrane module based on the real-time membrane fouling index and a preset pollution threshold, and generates targeted control commands. The hierarchical response execution control module accurately executes corresponding actions based on control commands and sends execution status information to the monitoring and control terminal.

2. The real-time monitoring system for MBR membrane fouling degree based on motor torque monitoring according to claim 1, characterized in that, The monitoring and control terminal is connected to the membrane module motion status stabilization module. The membrane module motion status stabilization module has a built-in frequency feedback unit and PWM control unit, which are used to maintain a constant reciprocating motion frequency of the vibrating and wiping membrane module and send the membrane module motion frequency control information to the monitoring and control terminal.

3. The real-time monitoring system for MBR membrane fouling degree based on motor torque monitoring according to claim 2, characterized in that, The specific operation process of the membrane module motion state stabilization module is as follows: The frequency feedback unit reads the preset standard reciprocating frequency of the system and captures the actual reciprocating frequency of the drive motor in real time through the frequency sensor. Based on this, it calculates the frequency deviation Δf. When the frequency deviation Δf exceeds the allowable frequency deviation threshold, it is determined that the frequency is in a state of instability. The PWM control unit immediately outputs a dynamic adjustment signal to correct the motor speed by adjusting the power supply voltage of the drive motor, so that the reciprocating frequency of the membrane module returns to the standard reciprocating frequency.

4. The real-time monitoring system for MBR membrane fouling degree based on motor torque monitoring according to claim 3, characterized in that, The membrane module motion state stabilization module communicates with the accuracy impact decision module. The accuracy impact decision module analyzes the reciprocating motion frequency control performance of the membrane module and judges the impact on the accuracy of the MBR membrane fouling analysis results.

5. The real-time monitoring system for MBR membrane fouling degree based on motor torque monitoring according to claim 4, characterized in that, The specific analysis process of how accuracy affects the decision-making module is as follows: If the duration of frequency control deviation exceeds the preset frequency control deviation duration threshold, an accuracy impact warning signal is generated; if the duration of frequency control deviation does not exceed the preset frequency control deviation duration threshold, the frequency stability control decision value is calculated by weighted summation of the frequency control deviation duration, frequency deviation amplitude, and frequency stability value. If the frequency stability control decision value exceeds the preset frequency stability control decision threshold, an accuracy impact warning signal is generated.

6. The real-time monitoring system for MBR membrane fouling degree based on motor torque monitoring according to claim 1, characterized in that, The motor torque real-time sensing module captures the raw analog torque signal during motor operation and collects the temperature parameters of the membrane module's operating environment. The signal conditioning circuit preprocesses the analog signal and encapsulates the digital signal according to a fixed format of "timestamp-motor number-torque digital value τdig-ambient temperature digital value Tdig" to form a standardized data frame, which is then transmitted to the associated parsing and processing module.

7. The real-time monitoring system for MBR membrane fouling degree based on motor torque monitoring according to claim 6, characterized in that, The specific operation process of the association resolution processing module is as follows: Standardized data frames are received via RS485 bus, decapsulated, and the digital values ​​of the drive motor torque τdig and ambient temperature Tdig are extracted. Temperature correction is applied to the torque data. After temperature correction, a quantitative calculation model for the membrane fouling index is established, and the real-time membrane fouling index PI of the membrane module is calculated. The real-time membrane fouling index PI is then transmitted to the fouling level classification decision module via Ethernet.

8. The real-time monitoring system for MBR membrane fouling degree based on motor torque monitoring according to claim 7, characterized in that, The specific operation process of the pollution level classification decision-making module is as follows: The system receives the real-time membrane fouling index PI and retrieves the fouling thresholds, where the low fouling threshold PI1 = 30% and the high fouling threshold PI2 = 75%. The system compares the real-time membrane fouling index PI with the fouling thresholds one by one to determine the corresponding membrane fouling level. The system then associates the real-time membrane fouling index PI, the fouling level, the control command, and the determination timestamp to form a decision data frame, which is then transmitted to the graded response execution control module and the monitoring and control terminal.

9. The real-time monitoring system for MBR membrane fouling degree based on motor torque monitoring according to claim 8, characterized in that, The method for determining the membrane fouling level is as follows: When PI≤PI1, it is determined to be a low pollution level, and a control command to "maintain current operation" is generated; when PI1<PI≤PI2, it is determined to be a medium pollution level, and a control command to "activate pollution warning" is generated; when PI>PI2, it is determined to be a high pollution level, and a control command to "activate in-situ cleaning procedure" is generated.

10. The real-time monitoring system for MBR membrane fouling degree based on motor torque monitoring according to claim 8, characterized in that, The graded response execution control module receives decision data frames transmitted by the pollution level grading determination decision module via the CAN bus. After decapsulation, it extracts the membrane module number, control command, and determination timestamp. The built-in audible and visual alarm unit, in-situ cleaning unit, and status monitoring unit execute corresponding operations according to the control command type.

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