Real-time monitoring and regulation method and system for industrial wastewater MBR biochemical treatment process

Abstract

A real-time monitoring and control method and system for industrial wastewater MBR biochemical treatment process is disclosed, relating to the field of wastewater treatment. The real-time monitoring and control method includes: starting the biosensor module, periodically collecting sensor data on dissolved oxygen (DO), mixed liquor suspended solids (MLSS), transmembrane pressure difference (TMP), volatile fatty acids (VFA), and ammonia nitrogen, and transmitting them to the intelligent control module; the intelligent control module operates according to the following logic: (1) when DO < 2 mg / L or DO > 4 mg / L, adjusting the aeration pump frequency; (2) when MLSS > 5 g / L, adjusting the return pump flow rate and opening the residual sludge discharge valve; (3) when TMP > 0.2 MPa or when it is predicted to reach 0.2 MPa within 1 h, starting the "gas flushing + chemical cleaning" program. This invention does not require monitoring of indicators such as COD / BOD5, total phosphorus (TP), pH & ORP, and permeate flux, and can automatically monitor and control them online.

Description

Technical Field

[0001] This invention relates to the field of wastewater treatment, specifically to a method and system for real-time monitoring and control of industrial wastewater MBR biochemical treatment process. Background Technology

[0002] Modern industry, especially the semiconductor industry (including integrated circuits, chip manufacturing, packaging and testing), generates large amounts of complex wastewater during production. This wastewater is complex in nature, containing fluoride-containing wastewater, ammonia-nitrogen-containing wastewater, heavy metal wastewater (such as copper, nickel, and lead), and organic wastewater (high COD / BOD), with high pollutant concentrations and high toxicity; the volume is large and process-dependent, with advanced processes consuming enormous amounts of water; at the same time, as society's environmental requirements become increasingly stringent, stricter emission standards have been issued in various regions, leading to continuously intensifying environmental pressures.

[0003] MBR (Membrane Bio-Reactor) is one of the most watched core technologies in the field of wastewater treatment. By perfectly combining traditional biodegradation with membrane separation technology, it not only breaks through the volume limitations of traditional secondary sedimentation tanks, but also achieves the complete interception of tiny particles such as bacteria and viruses. It is a key tool for solving the problems of "water scarcity" and "efficient pollution removal".

[0004] With increasing demands for effluent quality and growing cost pressures, MBR technology is undergoing a profound transformation. On one hand, energy consumption and costs are being optimized. For example, backwashing technology has been developed, which significantly reduces membrane fouling and extends membrane life through periodic backwashing (flushing); and bubble aeration cleaning technology uses powerful bubbles to create shear force on the membrane surface, replacing high-pressure water flushing and reducing water and energy consumption. On the other hand, the durability of membrane materials has been improved. For instance, new materials have been developed, upgrading from traditional PVDF (polyvinylidene fluoride) to modified NBR (chloroprene rubber) and ceramic membranes. The latter are resistant to high temperatures and acids / alkalis, making them suitable for high-concentration industrial wastewater; and antifouling coatings are being added to the membrane surface, adding hydrophilic or hydrophobic coatings to reduce microbial adhesion and significantly lower membrane fouling rates. Another aspect is the digitalization and intelligentization of technology. For example, the development of AI control systems can use sensor data (such as transmembrane pressure difference TMP) to drive machine learning models and adjust aeration volume and backwashing frequency in real time to achieve "smart energy saving"; and V-MBR technology can further reduce resistance loss and energy consumption by changing the shape of membrane modules (such as spherical membrane elements).

[0005] Currently, the main operating costs of MBRs are concentrated on membrane fouling control. Biological sludge and dissolved organic matter (such as proteins and viscosins) form membrane fouling on the membrane surface, leading to a decrease in flux. Although new materials and cleaning technologies are constantly improving, how to reduce membrane maintenance costs while maintaining high removal rates remains a hot topic in current technological research and development. Therefore, there is a need to develop a more efficient, environmentally friendly, and intelligent method and system for real-time monitoring and intelligent control of industrial wastewater to address current shortcomings and deficiencies. Summary of the Invention

[0006] In view of this, the main objective of the present invention is to provide a method and system for real-time monitoring and control of industrial wastewater MBR biochemical treatment process, in order to at least partially solve the above-mentioned technical problems.

[0007] To achieve the above objectives, as a first aspect of the present invention, a method for real-time monitoring and control of industrial wastewater MBR biochemical treatment process is proposed, comprising the following steps: The biosensor module is activated, and the data acquisition and transmission module collects one set of sensor data for dissolved oxygen (DO), mixed liquid suspended solids (MLSS), transmembrane pressure difference (TMP), volatile fatty acids (VFA), and ammonia nitrogen every time period, and transmits them to the intelligent control module. The intelligent control module operates based on the following preset logic: (1) Dissolved oxygen (DO) regulation: When DO < 2 mg / L, the aeration pump frequency is increased from 30 Hz to 50 Hz; while when DO > 4 mg / L, the aeration pump frequency is decreased from 50 Hz to 30 Hz; so that the DO regulation value is stabilized between 2 and 4 mg / L. (2) Mixed liquor suspended solids (MLSS) control: When MLSS > 5 g / L, the flow rate of the reflux pump is increased from 20 m³ / h to 35 m³ / h, and the residual sludge discharge valve is opened at the same time; so that the MLSS control value is stabilized between 3 and 5 g / L; (3) Transmembrane pressure difference TMP control: When TMP > 0.2 MPa or is predicted to reach 0.2 MPa within 1 h, start the "gas flushing + chemical cleaning" program to make TMP ≤ 0.2 MPa.

[0008] As a second aspect of the present invention, a real-time monitoring and control system for industrial wastewater MBR biochemical treatment process is also proposed, comprising: The biosensor module includes a dissolved oxygen (DO) sensor, a mixed liquid suspended solids (MLSS) sensor, and a transmembrane pressure differential (TMP) sensor. The data acquisition and transmission module is used to drive the biosensor module and transmit the acquired data to the intelligent control module; The intelligent control module is used to control the MBR biochemical reactor based on the data collected by the biosensor module, using the real-time monitoring and control method of the industrial wastewater MBR biochemical treatment process described above.

[0009] As a third aspect of the present invention, an MBR biochemical processor is also proposed that uses the real-time monitoring and control method for industrial wastewater MBR biochemical treatment process as described above for monitoring and control, or an MBR biochemical processor having the real-time monitoring and control system for industrial wastewater MBR biochemical treatment process as described above.

[0010] Based on the above technical solution, it can be seen that the real-time monitoring and control method and system for industrial wastewater MBR biochemical treatment process of the present invention has at least one of the following beneficial effects compared with the prior art: The real-time monitoring and control method of the present invention has simple monitoring parameters, low hardware system requirements, and significantly reduced costs, making it suitable for large-scale promotion and use. The intelligent control system of this invention does not require monitoring of indicators such as COD / BOD5, ammonia nitrogen / nitrate, total phosphorus (TP), pH & ORP, and osmotic flux. All sensors can achieve online automatic monitoring, thereby significantly improving monitoring efficiency and enabling agile and stable control. Attached Figure Description

[0011] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the embodiments will be briefly described below.

[0012] Figure 1 This is a block diagram of the real-time monitoring and control system for the industrial wastewater MBR biochemical treatment process of the present invention. Figure 2 A photograph of the MBR bioreactor of this invention; Figure 3 This is a daily trend chart of COD removal rate for the experimental and control groups of this invention; Figure 4 This is a daily variation trend diagram of ammonia nitrogen removal rate for the experimental group and the control group of the present invention; Figure 5 This is a comparison chart of the daily TMP increments between the experimental group and the control group of this invention; Figure 6 This is a comparison chart of the daily variation trends of DO in the experimental group and the control group of this invention; Figure 7 This is a comparison chart of the daily variation trends of VFA in the experimental group and the control group of this invention; Figure 8 This is a comparison chart of the daily variation trends of MLSS in the experimental group and the control group of this invention. Detailed Implementation

[0013] To make the objectives, technical solutions, and advantages of the present invention clearer, the present invention will be further described in detail below with reference to specific embodiments and accompanying drawings.

[0014] The terminology used in this invention is for the purpose of describing particular embodiments only and is not intended to limit the embodiments of the invention. The singular forms “a,” “the,” and “the” as used in the embodiments of the invention and the appended claims are also intended to include the plural forms unless the context clearly indicates otherwise.

[0015] MBR (Membrane Bio-Reactor) is one of the most watched core technologies in the field of wastewater treatment. By perfectly combining traditional biodegradation with membrane separation technology, MBR breaks through the time and space limitations of "biological reaction" and "solid-liquid separation" in traditional wastewater treatment, and integrates the two into a continuous process. MBR consists of three stages: (1) the biological reaction stage, in which wastewater enters a reactor containing aerobic or anaerobic microorganisms; the microorganisms degrade organic pollutants (such as COD and BOD) in the wastewater into carbon dioxide and water, and remove ammonia nitrogen through nitrification and denitrification; (2) the membrane filtration separation stage, in which the biodegraded mixture flows through the membrane module (usually a hollow fiber membrane); the micropores of the membrane (0.1~0.5 micrometers) trap activated sludge, bacteria and macromolecular organic matter, and only clarified water can flow out through the membrane; (3) the sludge return and concentration stage, in which the sludge trapped by the membrane is retained in the reactor, forming a high concentration of activated sludge (MLSS) (usually 3~10 g / L, much higher than the 1.5~3.5 g / L of the traditional method), which significantly improves the biochemical reaction rate.

[0016] Monitoring parameters for MBR reactors can be categorized into water quality parameters, biological process parameters, and membrane system parameters. Water quality parameters directly reflect treatment effectiveness and effluent compliance, and can be monitored for COD / BOD5 (a key indicator of organic matter removal), ammonia nitrogen / nitrate (controlling nitrification and denitrification processes), total phosphorus (TP, to prevent eutrophication), and pH & ORP (the basic environment for chemical reactions and microbial activity). Biological process parameters ensure the stability of activated sludge and prevent system collapse, and can be monitored for mixed liquor suspended solids (MLSS), mixed liquor volatile suspended solids (MLVSS, reflecting activated sludge concentration), dissolved oxygen (DO), and sludge retention time (SRT, affecting sludge production and nutrient removal rate). Membrane system parameters are unique and critical monitoring parameters for MBR systems, including transmembrane pressure differential (TMP, elevated TMP indicates severe membrane fouling), permeate flux (flux, membrane filtration efficiency, monitoring permeate flow rate), and backwash / cleaning cycles.

[0017] Through multiple experiments and demonstrations, this invention has found that by monitoring three parameters, the stable operation of the MBR reactor can be maintained. The COD removal rate shows a stable fluctuation trend, and the fluctuation amplitude of the experimental group is significantly smaller than that of the control group, indicating that the intelligent control system has more stable treatment efficiency, thereby achieving an optimal operating MBR reactor.

[0018] Therefore, this invention proposes a real-time monitoring and control method for industrial wastewater MBR biochemical treatment process, comprising the following steps: The biosensor module is activated, and the data acquisition and transmission module collects data at regular intervals, such as every minute, including dissolved oxygen (DO), mixed liquid suspended solids (MLSS), transmembrane pressure difference (TMP), volatile fatty acids (VFA), and ammonia nitrogen (NH4). + -N) data, and transmit it to the intelligent control module; The intelligent control module operates based on the following preset logic: (1) Dissolved oxygen (DO) regulation: When DO < 2 mg / L, the aeration pump frequency is increased from 30 Hz to 50 Hz; while when DO > 4 mg / L, the aeration pump frequency is decreased from 50 Hz to 30 Hz; the goal is to stabilize the DO regulation value between 2 and 4 mg / L. (2) Mixed liquor suspended solids (MLSS) control: When MLSS > 5 g / L, the flow rate of the reflux pump is increased from 20 m³ / h to 35 m³ / h, and the residual sludge discharge valve is opened at the same time; the goal is to stabilize the MLSS control value between 3 and 5 g / L. (3) Transmembrane pressure difference TMP control: When TMP > 0.2 MPa or is predicted to reach 0.2 MPa within 1 h, start the "gas flushing + chemical cleaning" program; the goal is to make TMP ≤ 0.2 MPa.

[0019] The time period mentioned above is, for example, every 30 seconds, every minute, every 5 minutes, etc., determined based on the equipment acquisition cycle and system control requirements.

[0020] The prediction of reaching 0.2 MPa within 1 hour refers to constructing a mathematical model that correlates various parameters with time using an LSTM model, training it with daily data, and then using the trained LSTM model as the prediction model. The inputs to the LSTM model include, for example, dissolved oxygen (DO), mixed liquor suspended solids (MLSS), transmembrane pressure difference (TMP), volatile fatty acids (VFA), and an ammonia nitrogen sensor (NH4). + The LSTM model takes N-1 data points and outputs the transmembrane pressure difference (TMP) after a certain period. Since the LSTM model is a conventional model, the specific training steps will not be detailed here.

[0021] The real-time monitoring and control method for industrial wastewater MBR biochemical treatment process of the present invention does not require monitoring of indicators such as COD / BOD5, ammonia nitrogen / nitrate, total phosphorus (TP), pH & ORP, and permeation flux. All sensors can achieve online automatic detection, thereby significantly improving detection efficiency and control agility and stability.

[0022] This invention also proposes a real-time monitoring and control system for industrial wastewater MBR biochemical treatment processes, comprising: The biosensor module includes dissolved oxygen (DO), mixed liquid suspended solids (MLSS), and transmembrane pressure differential (TMP) sensors; The data acquisition and transmission module is used to drive the biosensor module and transmit the acquired data to the intelligent control module; The intelligent control module is used to control the MBR biochemical reactor based on the data collected by the biosensor module and using the preset logic described above.

[0023] The DO sensor is positioned 0.5 m away from the aeration disc to avoid bubble interference; filters are installed on the inlet and outlet pipes of the transmembrane pressure differential (TMP) sensor to prevent sludge blockage.

[0024] Among them, the dissolved oxygen (DO) sensor is, for example, a fluorescence-based dissolved oxygen DO sensor, such as the HACH LDO II type DO sensor; the mixed liquid suspended solids concentration (MLSS) sensor is, for example, a laser scattering MLSS sensor, such as the CUM253 type MLSS sensor; the volatile fatty acid (VFA) sensor is, for example, an ISE type volatile fatty acid VFA sensor, such as the Sentron VFA-1000 type VFA sensor; the ammonia nitrogen sensor can be, for example, the Orion 9512BNWP type ammonia nitrogen sensor; and the transmembrane pressure difference (TMP) sensor is, for example, the Yokogawa EJA110A type TMP sensor.

[0025] The intelligent control module may employ hardware or software with logic execution capabilities, such as a programmable logic controller (PLC), a microcontroller, a single-board computer, or a field-programmable gate array (FPGA). In a preferred embodiment, a Siemens S7-1200 PLC may be used, which supports PID-LSTM algorithm operation and has an instruction output delay of ≤500 ms.

[0026] The MBR reactor is a three-stage biochemical reactor (anaerobic-aerobic-membrane separation).

[0027] The biosensor modules are calibrated before the MBR reactor starts operation and after a period of time (cycle) of biochemical reaction operation. The DO sensor is calibrated with saturated dissolved oxygen water (9.17 mg / L at 20℃); the ammonia nitrogen sensor is calibrated with 10 mg / L, 50 mg / L, and 100 mg / L NH4Cl standard solutions; and the TMP sensor is calibrated with 0.1 MPa and 0.2 MPa standard pressure sources to ensure that the error is ≤ ±0.1% FS.

[0028] The present invention will be further illustrated below through specific embodiments. It should be noted that the following embodiments are merely illustrative and not intended to limit the present invention.

[0029] 1. Experimental instruments and reagents Table 1. Experimental instruments and reagents used in the examples 2. Experimental Principle: ① Fluorescent DO sensor: Based on the "quenching effect of oxygen molecules on fluorescence" - the sensor emits 470 nm blue light, and fluorescent substances (such as ruthenium complexes) are excited to emit 520 nm green light. The higher the dissolved oxygen concentration in the water, the weaker the green light intensity. The DO value is inferred by detecting the green light intensity. ②ISE type volatile fatty acid (VFA) sensor: The electrode sensitive membrane has a selective response to VFA (such as acetic acid and propionic acid). The VFA concentration and electrode potential satisfy the Nernst equation (E=E0+(RT / nF) lnC). The VFA concentration is calculated by the potential change. ③ Transmembrane pressure difference (TMP) sensor: Based on the pressure difference between the inlet and outlet of the membrane module, the pressure signal is converted into an electrical signal by a piezoresistive sensor, and the TMP value is directly output (including temperature compensation to avoid the influence of water temperature fluctuations of 15~30℃ on the measurement).

[0030] 3. Experimental Procedure (1) Experimental preparation (days 1-3) like Figure 2 As shown, the assembly and commissioning of the MBR reactor were completed, and the biosensors were installed (DO sensor 0.5 m away from aeration disc to avoid bubble interference; filters were installed on the inlet and outlet pipes of the transmembrane pressure differential sensor to prevent sludge clogging).

[0031] Calibrate the sensors: The DO sensor is calibrated with saturated dissolved oxygen water (9.17 mg / L at 20℃); the ammonia nitrogen sensor is calibrated with NH4Cl standard solutions of 10 mg / L, 50 mg / L, and 100 mg / L; the TMP sensor is calibrated with standard pressure sources of 0.1 MPa and 0.2 MPa to ensure that the error is ≤ ±0.1% FS.

[0032] (2) Wastewater and culture medium preparation Wastewater samples were collected from a chemical industrial park (samples were taken over 3 consecutive days, mixed thoroughly, and used as experimental water). Initial water quality was tested: COD 980 mg / L, NH4+... + -N: 65 mg / L, VFA: 1200 mg / L, pH 7.2; Preparation of MBR sludge acclimatization solution: Take the return sludge from the municipal wastewater treatment plant (MLSS=8 g / L), mix it with the experimental wastewater at a ratio of 1:3, add 0.1 g / L KH2PO4 (to supplement the phosphorus source), and acclimatize for 7 days until the MLSS stabilizes at 4 g / L.

[0033] (3) Experimental grouping and operation (days 4-93, 90 days in total) Two parallel experiments were set up (experimental group: the conditions of this experiment; control group: traditional artificially controlled MBR system). The two MBR reactors had completely identical structures, influent flow rates (1.2 m³ / h), and initial sludge concentrations (MLSS=4 g / L), differing only in their control methods: Experimental group operation : The biosensor module is activated, and the data acquisition and transmission module collects one set of DO, MLSS, VFA, and NH4 samples every minute. + -N and TMP data are transmitted to the intelligent control module; ① The intelligent control module operates according to preset logic: DO control: Target 2~4 mg / L. When DO < 2 mg / L, the aeration pump frequency is increased from 30 Hz to 50 Hz; when DO > 4 mg / L, it is decreased to 30 Hz. MLSS control: Target 3~5 g / L. When MLSS>5 g / L, increase the return pump flow rate from 20 m³ / h to 35 m³ / h, and at the same time open the residual sludge discharge valve (discharge rate 0.8 m³ / h). TMP control: When the target is ≤0.2 MPa, TMP>0.2 MPa or is predicted to reach 0.2 MPa within 1 hour, start the "gas washing + chemical cleaning" procedure.

[0034] Samples are taken daily at 9:00 AM (aerobic zone outlet and membrane effluent) and COD and NH4 are tested using the national standard method. + -N concentration was used to verify the accuracy of the sensor data.

[0035] Control group (traditional artificial control) operation : The same MBR reactor as the experimental group was used, but no biosensors were installed. Parameters were obtained only through "sampling three times a day (8:00, 14:00, 20:00) + manual testing". Control method: Adjust according to operator experience (e.g., if DO=1.5 mg / L is detected at 8:00, manually increase the aeration pump frequency from 30 Hz to 40 Hz; if TMP>0.2 MPa is found, start chemical cleaning); Similarly, take samples for testing at 9:00 every day and record the treatment efficiency and membrane cleaning status.

[0036] (4) Data recording and analysis (days 4-93) ① Real-time data recording: The experimental group automatically stored sensor data every minute through the remote monitoring module; the control group recorded manually detected data (8:00, 14:00, 20:00). Treatment efficiency: Daily calculation of COD removal rate (formula: (influent COD - effluent COD) / influent COD × 100%), NH4 + -N removal rate; Membrane fouling indicators: Record the TMP growth rate (daily TMP increment) and membrane cleaning cycle (number of days from operation to TMP > 0.2 MPa) for both groups. (5) Experimental Results and Discussion The key operating parameters for the experimental and control groups are shown in Table 2 below: Table 2 Key operating parameters for the experimental and control groups The trend of COD removal rate during the experiment is as follows: Figure 3 As shown, the COD removal rate exhibited a stable fluctuation trend, with the experimental group showing significantly smaller fluctuations than the control group, indicating that the intelligent control system has more stable treatment efficiency. It is noteworthy that the experimental group reached a low of 85.3% on July 17th, which was found to be due to insufficient aeration caused by zero-point drift of the DO sensor. After calibrating the sensor, the system immediately returned to stable operation (rising to 91.4% on July 18th).

[0037] The trend of ammonia nitrogen removal rate is as follows Figure 4 As shown in the figure, both sets of data show a slow upward trend, indicating that the biofilm is gradually maturing, but the experimental group maintains a stable advantage throughout.

[0038] The daily increase in transmembrane pressure (TMP) is compared as follows: Figure 5 As shown, the daily TMP increment in the experimental group exhibited a stable fluctuation trend. Analysis of the daily TMP increment trend revealed that the daily TMP increment in the control group increased significantly with operating time (R²=0.92), indicating that intelligent regulation could effectively slow down the membrane fouling rate. In contrast, the cumulative TMP increment in the experimental group was only 230.4 kPa throughout the entire experimental period, indicating stable membrane module operation.

[0039] like Figure 6 As shown, during the experiment, the experimental group used an intelligent control system to stably control the DO concentration in the aerobic zone within the target range of 2.0~3.0 mg / L, with an average DO value of 2.6 mg / L.

[0040] like Figure 7 As shown in the figure, the VFA concentration monitoring in the anaerobic zone showed that the experimental group maintained it stably within the optimal range through intelligent regulation, and this control effect is crucial for the stable operation of the MBR system.

[0041] like Figure 8 As shown, the experimental group achieved precise control of the mixed liquor suspended solids concentration (MLSS) through the intelligent control system. During the 90-day operation, the MLSS remained stable within the optimized range, while the MLSS of the control group fluctuated more significantly. This stability directly affects the membrane fouling rate.

[0042] In summary, the intelligent control system of the present invention does not require monitoring of indicators such as COD / BOD5, ammonia nitrogen / nitrate, total phosphorus (TP), pH & ORP, and osmotic flux. All sensors can achieve online automatic monitoring, thereby significantly improving monitoring efficiency and control agility and stability.

[0043] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for real-time monitoring and control of an industrial wastewater MBR biochemical treatment process, characterized in that, Includes the following steps: The biosensor module is activated, and the data acquisition and transmission module collects one set of sensor data for dissolved oxygen (DO), mixed liquid suspended solids (MLSS), transmembrane pressure difference (TMP), volatile fatty acids (VFA), and ammonia nitrogen every time period, and transmits them to the intelligent control module. The intelligent control module operates based on the following preset logic: (1) Dissolved oxygen (DO) regulation: When DO < 2 mg / L, the aeration pump frequency is increased from 30 Hz to 50 Hz; while when DO > 4 mg / L, the aeration pump frequency is decreased from 50 Hz to 30 Hz; so that the DO regulation value is stabilized between 2 and 4 mg / L. (2) Mixed liquor suspended solids (MLSS) control: When MLSS > 5 g / L, the flow rate of the reflux pump is increased from 20 m³ / h to 35 m³ / h, and the residual sludge discharge valve is opened at the same time; so that the MLSS control value is stabilized between 3 and 5 g / L; (3) Transmembrane pressure difference TMP control: When TMP > 0.2 MPa or is predicted to reach 0.2 MPa within 1 h, start the "gas flushing + chemical cleaning" program to make TMP ≤ 0.2 MPa.

2. The real-time monitoring and control method for industrial wastewater MBR biochemical treatment process according to claim 1, characterized in that, The time period is determined based on the equipment acquisition cycle and system control requirements, whether it is every 30 seconds, every minute, or every 5 minutes.

3. The real-time monitoring and control method for industrial wastewater MBR biochemical treatment process according to claim 1, characterized in that, The prediction that TMP will reach 0.2 MPa within 1 hour refers to constructing a mathematical model that correlates various parameters with time using an LSTM model, training it with daily data, and then using the trained LSTM model as a prediction model to predict the probability that TMP will reach 0.2 MPa within 1 hour, and using the high probability scenario as the activation condition for starting the "gas flushing + chemical cleaning" procedure; wherein, the input of the LSTM model is the sensor data of dissolved oxygen (DO), mixed liquid suspended solids (MLSS), transmembrane pressure difference (TMP), volatile fatty acids (VFA), and ammonia nitrogen, and the output is the transmembrane pressure difference (TMP) value after a period of time.

4. The real-time monitoring and control method for industrial wastewater MBR biochemical treatment process according to claim 1, characterized in that, The real-time monitoring and control method for the industrial wastewater MBR biochemical treatment process does not require monitoring of COD / BOD5, ammonia nitrogen / nitrate, total phosphorus TP, pH & ORP, or permeation flux.

5. A real-time monitoring and control system for industrial wastewater MBR biochemical treatment process, characterized in that, include: The biosensor module includes a dissolved oxygen (DO) sensor, a mixed liquid suspended solids (MLSS) sensor, and a transmembrane pressure differential (TMP) sensor. The data acquisition and transmission module is used to drive the biosensor module and transmit the acquired data to the intelligent control module; The intelligent control module is used to control the MBR biochemical reactor based on the data collected by the biosensor module, using the real-time monitoring and control method for industrial wastewater MBR biochemical treatment process as described in any one of claims 1-4.

6. The real-time monitoring and control system for industrial wastewater MBR biochemical treatment process according to claim 5, characterized in that, The dissolved oxygen (DO) sensor is located at a distance of ≥0.5 m from the aeration disc to avoid bubble interference; filters are installed on the inlet and outlet pipes of the transmembrane pressure differential (TMP) sensor to prevent sludge blockage.

7. The real-time monitoring and control system for industrial wastewater MBR biochemical treatment process according to claim 5, characterized in that, The dissolved oxygen (DO) sensor is a fluorescence-based dissolved oxygen (DO) sensor; the mixed liquid suspended solids concentration (MLSS) sensor is a laser scattering MLSS sensor; the volatile fatty acid (VFA) sensor is an ISE-type volatile fatty acid (VFA) sensor; the ammonia nitrogen sensor is an Orion 9512BNWP-type ammonia nitrogen sensor; and the transmembrane pressure differential (TMP) sensor is a Yokogawa EJA110A-type TMP sensor.

8. The real-time monitoring and control system for industrial wastewater MBR biochemical treatment process according to claim 5, characterized in that, The intelligent control module employs hardware or software with logic execution functions, including programmable controllers, microcontrollers, single-board computers, and field-programmable gate arrays.

9. The real-time monitoring and control system for industrial wastewater MBR biochemical treatment process according to claim 5, characterized in that, The biosensor modules must be calibrated before the MBR reactor starts operating and after a preset operating period. Specifically, the dissolved oxygen (DO) sensor is calibrated using saturated dissolved oxygen water at 20°C with a concentration of 9.17 mg / L; the ammonia nitrogen sensor is calibrated using NH4Cl standard solutions with concentrations of 10 mg / L, 50 mg / L, and 100 mg / L; and the transmembrane pressure differential (TMP) sensor is calibrated using standard pressure sources of 0.1 MPa and 0.2 MPa to ensure an error ≤ ±0.1% FS.

10. An MBR biochemical processor that uses the real-time monitoring and control method for industrial wastewater MBR biochemical treatment process as described in any one of claims 1-4 for monitoring and control, or an MBR biochemical processor having the real-time monitoring and control system for industrial wastewater MBR biochemical treatment process as described in any one of claims 5-9.

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