A sewage treatment system based on intelligent perception and dynamic regulation

Abstract

The present invention relates to the field of environmental protection technology, and discloses a sewage treatment system based on intelligent perception and dynamic control, including: a multi-parameter detection module, which monitors the treatment process in real time by collecting and transmitting real-time data; an AI data processing engine module, which analyzes through data processing algorithms and generates process control schemes; a 5G communication module, which is used for data transmission between modules; an intelligent control platform module, which performs automatic adjustment of process parameters; a cloud storage service module, which is used to store system data in the cloud; an equipment automatic maintenance module, which monitors the equipment status through sensor data; an energy and resource recovery module, which is used to recover the heat and gas resources generated during the treatment process for reuse. In the present invention, the AI ​​engine adjusts the aeration amount, dosage and other parameters in the treatment system in real time through comprehensive analysis of historical data and real-time data, realizes fully automatic dynamic control, and greatly improves the efficiency of sewage treatment.

Description

Technical Field

[0001] The present invention relates to the field of environmental protection technology, and in particular to a sewage treatment system based on intelligent perception and dynamic regulation. Background Art

[0002] With the acceleration of global urbanization and increasingly stringent environmental protection requirements, the sewage treatment industry is facing unprecedented challenges. Traditional sewage treatment systems mostly rely on mechanical equipment and manual operations. Although these systems can meet basic sewage treatment needs to a certain extent, as the complexity of water quality and water quantity changes increases, traditional systems gradually expose a variety of drawbacks.

[0003] The process control in traditional sewage treatment systems mostly relies on manual operation. Operators need to manually adjust process parameters such as aeration volume and chemical dosage based on experience and judgment. This method not only consumes a lot of manpower, but also has lags and cannot respond to water quality changes in the sewage treatment process in real time, resulting in unstable treatment effects and difficult to guarantee effluent water quality. Summary of the invention

[0004] In order to make up for the above shortcomings, the present invention provides a sewage treatment system based on intelligent perception and dynamic control, aiming to improve the process control in traditional sewage treatment systems that mostly relies on manual operation, which not only consumes a lot of manpower but also has the problem of lag.

[0005] To this end, the present invention provides the following technical solution, a sewage treatment system based on intelligent perception and dynamic regulation, comprising: Multi-parameter detection module, including sensors for monitoring multiple physical and chemical parameters in the sewage treatment process, real-time monitoring of the treatment process by collecting and transmitting real-time data; The AI ​​data processing engine module receives data obtained from the multi-parameter detection module, analyzes it through the data processing algorithm, and generates a process control plan; 5G communication module, used for data transmission between modules; The intelligent control platform module automatically adjusts the process parameters based on the analysis results of the AI ​​data processing engine module; The cloud storage service module is used to store system data in the cloud and realize the analysis and backtracking of historical data through cloud computing; The equipment automatic maintenance module monitors the equipment status through sensor data, performs predictive maintenance based on historical data, and performs automatic inspections and remote maintenance; The energy and resource recovery module is used to recover the heat energy and gas resources generated during the processing for reuse.

[0006] Preferably, the multi-parameter detection module includes: Water quality detection unit, which monitors various chemical indicators in sewage in real time through pH sensor, dissolved oxygen sensor, turbidity sensor, chemical oxygen demand sensor and ammonia nitrogen sensor; The flow and liquid level monitoring unit detects the flow and liquid level changes in sewage treatment through ultrasonic or electromagnetic flowmeters and liquid level sensors installed in the pipeline, and reflects the water flow conditions in the sewage treatment process in real time; The temperature and pressure monitoring unit monitors the temperature and pipeline pressure during the processing process through temperature sensors and pressure sensors.

[0007] Preferably, the AI ​​data processing engine module includes: Data preprocessing unit, which removes noise and invalid data through data filtering and outlier elimination processing operations; Big data analysis and prediction unit, which uses machine learning and data modeling to analyze historical and real-time data to generate water quality change predictions and equipment status predictions; The decision support unit generates an adjustment plan for process parameters using an optimization algorithm based on the output of the big data analysis and prediction unit and transmits it to the intelligent control platform module.

[0008] Preferably, the 5G communication module includes: The data transmission unit achieves high-bandwidth, low-latency data transmission through 5G communication technology, and is responsible for real-time data interaction between the multi-parameter detection module and the AI ​​data processing engine module, the intelligent control platform module, and the cloud storage service module.

[0009] Preferably, the intelligent control platform module includes: Real-time monitoring and alarm unit, which displays the real-time status of each link in the processing flow through sensor data, sets alarm thresholds, and automatically triggers alarms and prompts operators when parameters exceed the set range; The automated control unit automatically adjusts the aeration volume, chemical dosage, and sludge return rate by executing the process adjustment plan provided by the AI ​​data processing engine module; The operation record and optimization unit automatically records the process of each process adjustment, analyzes the adjustment effect and provides data support, providing a basis for system optimization.

[0010] Preferably, the cloud storage service module includes: Data storage and backup unit, which stores sensor data, AI processing results and operation logs of the control platform generated by the cloud database storage system, and supports data encryption and secure transmission; The historical data analysis unit performs trend analysis on long-term stored data and combines it with deep learning algorithms to make predictions and recommendations for future process optimization.

[0011] Preferably, the equipment automatic maintenance module includes: The predictive maintenance unit uses AI models to predict equipment failure points and maintenance cycles based on sensor data and historical equipment operation data, and generates maintenance plans in advance; Automatic inspection unit, which regularly collects equipment operating conditions, including physical data such as vibration and temperature, through a built-in inspection mechanism to identify potential problems; Remote maintenance unit, through the 5G network, allows operation and maintenance personnel to remotely view the operating status of equipment and perform online maintenance and operations when necessary; The energy and resource recovery module includes: Energy recovery unit, which recovers waste heat generated during sewage treatment through heat exchangers and uses biogas recovery devices to collect the generated gas for in-plant power generation or heating; Resource recovery unit, which recycles solid matter generated during the treatment process through sludge treatment equipment and reuses it as agricultural fertilizer or industrial raw materials.

[0012] Furthermore, the invention provides the following technical solution: a computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the above-mentioned sewage treatment operation method based on intelligent perception and dynamic regulation when executing the computer program.

[0013] Furthermore, the present invention provides the following technical solution: a readable storage medium having a computer program stored thereon, and the computer program, when executed by a processor, implements the above-mentioned sewage treatment operation method based on intelligent perception and dynamic regulation.

[0014] Furthermore, the operation method of the sewage treatment system based on intelligent perception and dynamic regulation includes the following steps: S1: The multi-parameter detection module collects water quality parameters, flow, liquid level, temperature and pressure data during sewage treatment, and transmits the data to the AI ​​data processing engine module; S2: The AI ​​data processing engine module pre-processes, analyzes and predicts the received sensor data to generate a control plan for the sewage treatment process; S3: Transmit the data of the multi-parameter detection module and the control scheme of the AI ​​data processing engine module to the intelligent control platform module through the 5G communication module; S4: The intelligent control platform module automatically adjusts the process parameters in the sewage treatment system, including aeration volume, chemical dosage, and sludge return rate, according to the control scheme generated by the AI ​​data processing engine module; S5: Transmit system operation data to the cloud storage service module through the 5G communication module for data storage, backup and historical data analysis; S6: Monitor the status of sewage treatment equipment through the equipment automatic maintenance module, and perform predictive maintenance and automatic inspection of equipment based on sensor data; S7: During the sewage treatment process, waste heat, biogas and solid matter are recovered through the energy and resource recovery module and used for power generation, heating or resource reuse in the factory.

[0015] The present invention has the following beneficial effects: 1. This system uses a multi-parameter detection module to monitor the water quality, flow rate, liquid level, temperature, pressure and other parameters in the sewage treatment process in real time, and transmits the data to the AI ​​data processing engine. The AI ​​engine generates the optimal process control plan through a comprehensive analysis of historical data and real-time data, and adjusts the aeration volume, dosage and other parameters in the treatment system in real time. Compared with manual control, the system of the present invention can quickly respond to water quality fluctuations and realize fully automatic dynamic control, which greatly improves the efficiency of sewage treatment and ensures the stability and compliance rate of effluent water quality.

[0016] 2. The present invention integrates an automatic equipment maintenance module. By real-time monitoring of the equipment's operating status and combining the AI ​​engine's analysis of historical data, it can predict the equipment's failure risk and generate a maintenance plan in advance to avoid sudden failures. The module also has automatic inspection and remote maintenance functions, which reduces the frequency and intensity of manual inspections, effectively reduces the cost of equipment maintenance, and at the same time extends the equipment's service life, reduces downtime, and ensures the stable operation of the system.

[0017] 3. This system uploads all operating data to the cloud through cloud storage services, and performs encrypted storage and backup. By analyzing historical data through cloud computing, the system can identify long-term trends, process optimization points and potential hidden dangers. Combined with deep learning algorithms, the system can predict future water quality changes and adjust process parameters in advance, realizing intelligent decision-making and process optimization in the sewage treatment process, greatly improving management efficiency and treatment effects.

[0018] 4. The present invention effectively recovers waste heat and biogas generated during sewage treatment through the energy and resource recovery module, and reuses them for power generation or heating in the plant area, reducing the external energy dependence of the sewage treatment plant. The sludge and other solid wastes generated during the treatment process are also converted into valuable resources, such as agricultural fertilizers or industrial raw materials, through the resource recovery unit, reducing waste emissions while improving economic benefits, and has significant environmental friendliness and sustainable development advantages. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1This is an architecture diagram of a sewage treatment system based on intelligent perception and dynamic regulation proposed by the present invention; Figure 2 This is a diagram of the architecture of the multi-parameter detection module proposed by the present invention; Figure 3 This is the module architecture diagram of the AI ​​data processing engine proposed in the present invention; Figure 4 This is the 5G communication module architecture diagram proposed by the present invention; Figure 5 This is a module architecture diagram of the intelligent control platform proposed by the present invention; Figure 6 This is a diagram of the cloud storage service module architecture proposed by the present invention; Figure 7 This is the architecture diagram of the equipment automatic maintenance module proposed by the present invention; Figure 8 This is the architecture diagram of the energy and resource recovery module proposed by the present invention; Fig. 9 This is a flow chart of the operation method of a sewage treatment system based on intelligent perception and dynamic regulation proposed by the present invention. DETAILED DESCRIPTION

[0020] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are only 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 ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0021] Embodiment 1 Reference Figure 1 - Figure 8 In the first embodiment of the present invention, the present invention provides a sewage treatment system based on intelligent perception and dynamic regulation, comprising: Multi-parameter detection module, including sensors for monitoring multiple physical and chemical parameters in the sewage treatment process, real-time monitoring of the treatment process by collecting and transmitting real-time data; The AI ​​data processing engine module receives data obtained from the multi-parameter detection module, analyzes it through the data processing algorithm, and generates a process control plan; 5G communication module, used for data transmission between modules; The intelligent control platform module automatically adjusts the process parameters based on the analysis results of the AI ​​data processing engine module; The cloud storage service module is used to store system data in the cloud and realize the analysis and backtracking of historical data through cloud computing; The equipment automatic maintenance module monitors the equipment status through sensor data, performs predictive maintenance based on historical data, and performs automatic inspections and remote maintenance; The energy and resource recovery module is used to recover the heat energy and gas resources generated during the processing for reuse.

[0022] Specifically, the multi-parameter detection module includes multiple sensors for monitoring physical and chemical parameters in the sewage treatment process. The module collects key parameters of sewage water quality in real time, such as chemical indicators such as pH value, dissolved oxygen content, turbidity, chemical oxygen demand (COD) and ammonia nitrogen content, as well as physical parameters such as flow, liquid level, temperature and pressure, to fully understand the changes in the sewage treatment process. These sensors can upload the collected real-time data to the data processing platform through high-speed data acquisition channels to ensure that the system can quickly respond to fluctuations in different sewage water quality and realize dynamic monitoring of the entire sewage treatment process. Through a multi-point distributed sensor network, the multi-parameter detection module can not only accurately perceive each stage of sewage treatment, but also provide data comparison across time periods through the cloud platform to support the optimization and adjustment of the sewage treatment system.

[0023] The AI ​​data processing engine module receives real-time data obtained from the multi-parameter detection module and analyzes it through a series of advanced data processing algorithms. The AI ​​data processing engine module includes a multi-level analysis model. First, the sensor data is pre-processed, such as noise filtering and outlier removal, to ensure the accuracy of the input data. Then, by combining historical data with real-time data, using big data analysis and machine learning algorithms, the AI ​​engine can predict water quality trends and equipment status, and generate process control plans. The AI ​​engine automatically identifies patterns and anomalies in the sewage treatment process, dynamically adjusts process parameters, and ensures that the sewage treatment process always operates in the best condition. The analysis results are transmitted to the intelligent control platform module in real time to perform control operations.

[0024] The 5G communication module is used to realize data transmission between modules in the system, and supports remote control and real-time monitoring through high-speed wireless networks. The high bandwidth and low latency characteristics of 5G communication technology ensure that data interaction between the multi-parameter detection module, AI data processing engine module, intelligent control platform module, cloud storage service module and equipment automatic maintenance module can be completed within milliseconds, improving the response speed and stability of the system. At the same time, the module supports remote control functions, allowing system managers to remotely access the system through mobile phones, tablets or computers, view the status of sewage treatment in real time, and adjust process parameters or perform maintenance operations as needed. The deployment of 5G networks makes the monitoring and control of sewage treatment systems more flexible and intelligent.

[0025] The intelligent control platform module automatically adjusts the process parameters according to the analysis results provided by the AI ​​data processing engine module. The intelligent control platform module is the core control part of the system. Through close integration with the AI ​​data processing engine module, it can automatically adjust process operations, such as adjusting the aeration volume, accurately adding chemical agents, optimizing the sludge return rate, etc. The platform realizes the intelligence of the entire sewage treatment process by controlling every link of sewage treatment. The intelligent control platform module also has real-time monitoring capabilities, which can display the operating status of each stage of sewage treatment, and automatically adjust operations according to the adjustment suggestions generated by AI to ensure that sewage treatment is always in the best operating state. Every step of the operation process will be recorded for subsequent analysis and optimization.

[0026] The cloud storage service module is used to store the data generated by the system to the cloud, and to analyze and trace back historical data through cloud computing. The cloud storage service module provides a safe and reliable data storage function. The data of all sensors, AI engines, and intelligent control platform modules in the system will be uploaded to the cloud in real time and stored in encrypted form. Through the accumulation and analysis of historical data, the system can identify long-term trends in the sewage treatment process and use deep learning models to predict future treatment needs. The cloud storage service module also supports long-term data backup to prevent data loss. The module also has a historical data traceback function, and users can retrieve past processing records at any time for compliance checks or process optimization.

[0027] The equipment automatic maintenance module monitors the status of sewage treatment equipment through sensors, performs predictive maintenance based on historical operating data, and performs automatic inspections and remote maintenance operations. This module integrates equipment status monitoring and maintenance management functions, and can identify potential equipment failure risks through real-time data analysis of the equipment. Combined with the AI ​​data processing engine module, the equipment automatic maintenance module can automatically generate maintenance plans, inspect and repair equipment in advance, and avoid sudden failures. The automatic inspection function regularly detects the operating status of the equipment, monitors the key parameters of the equipment (such as temperature, vibration, etc.), and notifies the operation and maintenance personnel when an abnormality is detected. The remote maintenance function supports the operation and maintenance personnel to operate or maintain the equipment remotely through the 5G network, thereby reducing maintenance time and costs.

[0028] The energy and resource recovery module is used to recover the heat and gas resources generated during the sewage treatment process and reuse them to improve energy efficiency. A large amount of waste heat and biogas will be generated during the sewage treatment process, and these resources are effectively recovered and utilized through the energy recovery module. The heat recovery part uses the waste heat for heating or hot water treatment within the plant through a heat exchange device, thereby reducing the consumption of external energy. The biogas recovery part collects the organic waste gas generated during the treatment process and converts it into electrical energy through a gas generator set for self-use within the plant or to be connected to the power grid. In addition, the resource recovery module can also process the solid waste generated during the sewage treatment process and convert it into usable resources, such as agricultural fertilizers or industrial raw materials, to further achieve the sustainable development of sewage treatment.

[0029] The multi-parameter detection module includes: Water quality detection unit, which monitors various chemical indicators in sewage in real time through pH sensor, dissolved oxygen sensor, turbidity sensor, chemical oxygen demand sensor and ammonia nitrogen sensor; The flow and liquid level monitoring unit detects the flow and liquid level changes in sewage treatment through ultrasonic or electromagnetic flowmeters and liquid level sensors installed in the pipeline, and reflects the water flow conditions in the sewage treatment process in real time; The temperature and pressure monitoring unit monitors the temperature and pipeline pressure during the processing process through temperature sensors and pressure sensors.

[0030] Specifically, the multi-parameter detection module includes: The water quality detection unit monitors the chemical indicators in sewage in real time through pH sensors, dissolved oxygen sensors, turbidity sensors, chemical oxygen demand sensors (COD) and ammonia nitrogen sensors. The pH sensor can accurately detect changes in the pH of sewage, which is very important for controlling chemical reactions in sewage treatment. The dissolved oxygen sensor is used to detect the oxygen content in water, which is essential for judging the efficiency of biochemical reactions and the activity of microorganisms. The turbidity sensor is used to evaluate the concentration of particulate matter in water, which can promptly reflect the removal effect of solid matter during the treatment process. The chemical oxygen demand (COD) sensor measures the concentration of organic matter in water, which can reflect the pollutant load in sewage. The ammonia nitrogen sensor focuses on detecting the ammonia nitrogen content in sewage, which is an important indicator for assessing the level of nitrogen pollution. All these sensors provide real-time feedback data, and the system can make targeted adjustments based on the changes in water quality at different stages.

[0031] The flow and level monitoring unit monitors the flow and level changes in the sewage treatment process in real time through ultrasonic or electromagnetic flowmeters and level sensors installed in the pipeline. Ultrasonic flowmeters use the speed of sound waves propagating through liquids to measure water flow, and are suitable for sewage treatment occasions with large pipe diameters and low flow rates. Electromagnetic flowmeters measure flow by sensing the conductivity of the fluid, and are suitable for high flow rate applications in sewage treatment. Level sensors are used to monitor the liquid level in treatment tanks, sedimentation tanks or storage tanks to ensure the balance of water inflow and outflow during the treatment process. The unit can reflect the water flow conditions in the sewage treatment process in real time to prevent system overload or insufficient treatment.

[0032] The temperature and pressure monitoring unit monitors the temperature during the sewage treatment process and the pressure in the pipeline through temperature sensors and pressure sensors. The temperature sensor can accurately monitor the water temperature changes during the biological treatment process to ensure that microorganisms can decompose organic matter at a suitable temperature. The pressure sensor is used to monitor the pressure changes in the pipeline system to prevent pipeline damage due to excessive pressure or a decrease in system treatment efficiency due to low pressure. Through the simultaneous monitoring of temperature and pressure, the system can adjust the sewage treatment process in time according to temperature and pressure changes at any time to ensure the stable operation of the treatment process.

[0033] The AI ​​data processing engine module includes: Data preprocessing unit, which removes noise and invalid data through data filtering and outlier elimination processing operations; Big data analysis and prediction unit, which uses machine learning and data modeling to analyze historical and real-time data to generate water quality change predictions and equipment status predictions; The decision support unit generates an adjustment plan for process parameters using an optimization algorithm based on the output of the big data analysis and prediction unit and transmits it to the intelligent control platform module.

[0034] Specifically, the AI ​​data processing engine module includes: The data preprocessing unit removes noise and invalid data through data filtering and outlier removal operations to ensure high data accuracy when entering the analysis phase. The data collected by the sensor may contain certain errors or noise, which will affect the accuracy of data analysis. The data preprocessing unit will clean the collected data according to the set algorithm, remove outliers and erroneous data, and normalize the data so that subsequent analysis can be based on accurate input data. Through this preprocessing step, the reliability and accuracy of the data are ensured, and the prediction effect of the AI ​​engine is improved.

[0035] The big data analysis and prediction unit uses machine learning algorithms and data modeling to analyze and predict the sewage treatment process in combination with historical data and real-time data. This unit uses big data technology to retrospectively analyze historical data, extract the laws therein, and apply these laws to real-time data analysis, and then predict the trend of water quality changes and the operating status of treatment equipment. For example, it can predict the changes that may occur in water quality parameters in a certain period of time in the future, as well as possible equipment failures. Through this prediction, the system can adjust various parameters of sewage treatment in advance to avoid emergencies.

[0036] The decision support unit uses the optimization algorithm to generate adjustment plans for process parameters based on the output of the big data analysis and prediction unit, and transmits these plans to the intelligent control platform module for execution. The decision support unit can automatically calculate the optimal operating parameters for sewage treatment, such as aeration volume, chemical dosage, etc., based on the analysis results generated by the AI ​​engine. Through this algorithm, the system can make precise process adjustments based on the current sewage treatment status, thereby ensuring efficient and stable treatment processes and reducing energy and chemical waste.

[0037] The 5G communication module includes: The data transmission unit achieves high-bandwidth, low-latency data transmission through 5G communication technology, and is responsible for real-time data interaction between the multi-parameter detection module and the AI ​​data processing engine module, the intelligent control platform module, and the cloud storage service module.

[0038] Specifically, the 5G communication module includes: The data transmission unit uses 5G communication technology to achieve high-bandwidth, low-latency data transmission, and is responsible for real-time data interaction between the multi-parameter detection module and the AI ​​data processing engine module, the intelligent control platform module, and the cloud storage service module. 5G communication has extremely high transmission rates and ultra-low network latency, which can ensure that data between various parts of the system can be transmitted within milliseconds. This means that real-time data from the multi-parameter detection module can be seamlessly transmitted to the AI ​​data processing engine module for analysis, and the analysis results can also be quickly transmitted to the intelligent control platform module for execution. This efficient data interaction mechanism greatly improves the system's response speed and ensures that every link in the sewage treatment process is in optimal condition.

[0039] The intelligent control platform modules include: Real-time monitoring and alarm unit, which displays the real-time status of each link in the processing flow through sensor data, sets alarm thresholds, and automatically triggers alarms and prompts operators when parameters exceed the set range; The automated control unit automatically adjusts the aeration volume, chemical dosage, and sludge return rate by executing the process adjustment plan provided by the AI ​​data processing engine module; The operation record and optimization unit automatically records the process of each process adjustment, analyzes the adjustment effect and provides data support, providing a basis for system optimization.

[0040] Specifically, the intelligent control platform modules include: The real-time monitoring and alarm unit uses the data collected by the sensors to display the real-time status of each link in the processing flow and set alarm thresholds. When the system detects that certain parameters exceed the preset threshold range, it automatically triggers an alarm and notifies relevant personnel. The function of this unit is not limited to displaying and recording data. More importantly, it can conduct comprehensive real-time monitoring of the system operation status to ensure that any abnormalities can be discovered and handled in a timely manner. After detecting an abnormality, the alarm unit will automatically recommend possible causes of the failure and prompt the operator to take appropriate countermeasures.

[0041] The automated control unit automatically adjusts the various process parameters of sewage treatment according to the process adjustment plan generated by the AI ​​data processing engine module. The unit can automatically control core treatment links such as the aeration system, dosing system, and sludge return system to ensure the efficiency and stability of sewage treatment. Whenever the AI ​​engine detects a change in water quality or the equipment status needs to be adjusted, the automated control unit will immediately execute the control strategy provided by AI without manual intervention, ensuring the efficiency and automation of system operation.

[0042] The operation record and optimization unit automatically records the process of each process adjustment, and analyzes the adjustment effect based on the record, providing data support for the long-term optimization of the system. By continuously monitoring and recording the operating status of the system, the operation record and optimization unit can effectively evaluate the effectiveness of each operation and optimize the system in the long term. For example, the effects of different processing strategies can be analyzed to derive the optimal operating parameter settings, further improve processing efficiency and reduce operating costs.

[0043] The cloud storage service module includes: Data storage and backup unit, which stores sensor data, AI processing results and operation logs of the control platform generated by the cloud database storage system, and supports data encryption and secure transmission; The historical data analysis unit performs trend analysis on long-term stored data and combines it with deep learning algorithms to make predictions and recommendations for future process optimization.

[0044] Specifically, the cloud storage service module includes: The data storage and backup unit uses the cloud database to store the sensor data, AI processing results, and operation logs of the control platform generated by the system. The data storage and backup unit uses distributed database technology to upload key data in the system to the cloud in real time to ensure data security and accessibility. The cloud database supports a multi-level backup mechanism to ensure that data will not be lost due to a single point of failure. At the same time, data encryption technology ensures the security of data uploaded to the cloud during transmission to avoid malicious intrusion from the outside.

[0045] The historical data analysis unit conducts trend analysis on long-term stored data and combines it with deep learning algorithms to dig out potential rules and optimization space in system operation. The historical data analysis unit not only records the historical operation of the system, but also helps predict possible problems or optimization opportunities in the future through analysis of these data. By combining with deep learning algorithms, the system can train models based on a large amount of historical data to derive the optimal operation strategy and further improve the efficiency of sewage treatment.

[0046] The equipment automatic maintenance module includes: The predictive maintenance unit uses AI models to predict equipment failure points and maintenance cycles based on sensor data and historical equipment operation data, and generates maintenance plans in advance; Automatic inspection unit, which regularly collects equipment operating conditions, including physical data such as vibration and temperature, through a built-in inspection mechanism to identify potential problems; Remote maintenance unit, through the 5G network, allows operation and maintenance personnel to remotely view the operating status of equipment and perform online maintenance and operations when necessary; The Energy and Resource Recovery Module includes: Energy recovery unit, which recovers waste heat generated during sewage treatment through heat exchangers and uses biogas recovery devices to collect the generated gas for in-plant power generation or heating; Resource recovery unit, which recycles solid matter generated during the treatment process through sludge treatment equipment and reuses it as agricultural fertilizer or industrial raw materials.

[0047] Specifically, the equipment automatic maintenance module includes: The predictive maintenance unit uses AI models to predict equipment failure points and maintenance cycles based on equipment sensor data and historical equipment operation data. The predictive maintenance unit uses big data to analyze the equipment's operating status, predict the time point when the equipment may fail in advance, and arrange maintenance work in advance according to the maintenance plan. This can significantly reduce downtime caused by sudden failures, extend the service life of the equipment, and save maintenance costs.

[0048] The automatic inspection unit regularly collects equipment operation data, including physical data such as vibration, temperature, and noise. Through comprehensive analysis of these data, the automatic inspection unit can effectively identify potential hidden dangers in equipment operation and notify operators in advance to deal with them. Automatic inspection reduces the frequency and intensity of manual inspections and improves the intelligence of equipment management through more efficient data analysis methods.

[0049] The remote maintenance unit, connected through the 5G network, allows operation and maintenance personnel to remotely view the operating status of the equipment and perform online maintenance operations when necessary. The remote maintenance unit provides an efficient way to maintain equipment, allowing operation and maintenance personnel to remotely operate the equipment without having to go to the site. By combining with intelligent inspection and predictive maintenance, the remote maintenance unit can also adjust the working status of the equipment in real time, further improving the overall operational efficiency of the sewage treatment plant.

[0050] The Energy and Resource Recovery Module includes: The energy recovery unit recovers waste heat generated during sewage treatment through a heat exchanger, collects biogas generated during the treatment process using a biogas recovery device, and uses this energy for self-generation or heating within the sewage treatment plant. Waste heat recovery transfers heat from high-temperature water bodies to the heating system of the plant through a heat exchanger to maintain the temperature requirements for winter operation and reduce external energy consumption. The biogas recovery device collects the anaerobic fermentation products of organic matter generated during the treatment process and converts them into electrical energy through a generator set to meet part of the power demand within the plant.

[0051] The resource recovery unit uses the solid matter generated during the sludge treatment process to recover the solid matter. After further processing, it can be used as agricultural fertilizer or industrial raw materials. The resource recovery unit uses dehydration, drying, solidification and other treatment methods to extract the useful components in the sludge, and then converts it into products that are valuable to the outside world. This process not only solves the waste problem in sewage treatment, but also brings additional economic benefits to the company.

[0052] The operation method of the sewage treatment system based on intelligent perception and dynamic control of this embodiment is as follows: S1: The multi-parameter detection module collects water quality parameters, flow, liquid level, temperature and pressure data during sewage treatment, and transmits the data to the AI ​​data processing engine module; S2: The AI ​​data processing engine module pre-processes, analyzes and predicts the received sensor data to generate a control plan for the sewage treatment process; S3: Transmit the data of the multi-parameter detection module and the control scheme of the AI ​​data processing engine module to the intelligent control platform module through the 5G communication module; S4: The intelligent control platform module automatically adjusts the process parameters in the sewage treatment system, including aeration volume, chemical dosage, and sludge return rate, according to the control scheme generated by the AI ​​data processing engine module; S5: Transmit system operation data to the cloud storage service module through the 5G communication module for data storage, backup and historical data analysis; S6: Monitor the status of sewage treatment equipment through the equipment automatic maintenance module, and perform predictive maintenance and automatic inspection of equipment based on sensor data; S7: During the sewage treatment process, waste heat, biogas and solid matter are recovered through the energy and resource recovery module and used for power generation, heating or resource reuse in the factory.

[0053] Embodiment 2 The second embodiment of the present invention is based on the same inventive concept. The present invention proposes a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, it implements the steps of the sewage treatment operation method based on intelligent perception and dynamic control of the above-mentioned embodiment.

[0054] Embodiment 3 The third embodiment of the present invention is based on the same inventive concept. The present invention proposes a terminal, which includes: a processor and a memory; the processor and the memory communicate with each other; the memory is used to store instructions; the processor is used to execute the instructions in the memory, and execute the sewage treatment operation method based on intelligent perception and dynamic control of the above embodiment.

[0055] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0056] Finally, it should be noted that the above is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, it is still possible for those skilled in the art to modify the technical solutions described in the aforementioned embodiments or to make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A sewage treatment system based on intelligent perception and dynamic regulation, characterized in that: The system consists of a multi-parameter detection module, an AI data processing engine module, a 5G communication module, an intelligent control platform module, a cloud storage service module, an equipment automatic maintenance module, and an energy and resource recovery module; Multi-parameter detection module, including sensors for monitoring multiple physical and chemical parameters in the sewage treatment process, real-time monitoring of the treatment process by collecting and transmitting real-time data; The AI ​​data processing engine module receives data obtained from the multi-parameter detection module, analyzes it through the data processing algorithm, and generates a process control plan; 5G communication module, used for data transmission between modules; The intelligent control platform module automatically adjusts the process parameters based on the analysis results of the AI ​​data processing engine module; The cloud storage service module is used to store the data of all modules in the cloud and realize the analysis and backtracking of historical data through cloud computing; The equipment automatic maintenance module monitors the equipment status through sensor data, performs predictive maintenance based on historical data, and performs automatic inspections and remote maintenance; The energy and resource recovery module is used to recover the heat energy and gas resources generated during the processing for reuse.

2. According to claim 1, a sewage treatment system based on intelligent perception and dynamic regulation is characterized in that: The multi-parameter detection module comprises: Water quality detection unit, which monitors various chemical indicators in sewage in real time through pH sensor, dissolved oxygen sensor, turbidity sensor, chemical oxygen demand sensor and ammonia nitrogen sensor; The flow and liquid level monitoring unit detects the flow and liquid level changes in sewage treatment through ultrasonic or electromagnetic flowmeters and liquid level sensors installed in the pipeline, and reflects the water flow conditions in the sewage treatment process in real time; The temperature and pressure monitoring unit monitors the temperature and pipeline pressure during the processing process through temperature sensors and pressure sensors.

3. According to claim 1, a sewage treatment system based on intelligent perception and dynamic regulation is characterized in that: The AI ​​data processing engine module includes: Data preprocessing unit, which removes noise and invalid data through data filtering and outlier elimination processing operations; Big data analysis and prediction unit, which uses machine learning and data modeling to analyze historical and real-time data to generate water quality change predictions and equipment status predictions; The decision support unit generates an adjustment plan for process parameters using an optimization algorithm based on the output of the big data analysis and prediction unit and transmits it to the intelligent control platform module.

4. According to claim 1, a sewage treatment system based on intelligent perception and dynamic regulation is characterized in that: The 5G communication module includes: The data transmission unit achieves high-bandwidth, low-latency data transmission through 5G communication technology, and is responsible for real-time data interaction between the multi-parameter detection module and the AI ​​data processing engine module, the intelligent control platform module, and the cloud storage service module.

5. According to claim 1, a sewage treatment system based on intelligent perception and dynamic regulation is characterized in that: The smart control platform module includes: Real-time monitoring and alarm unit, which displays the real-time status of each link in the processing flow through sensor data, sets alarm thresholds, and automatically triggers alarms and prompts operators when parameters exceed the set range; The automated control unit automatically adjusts the aeration volume, chemical dosage, and sludge return rate by executing the process adjustment plan provided by the AI ​​data processing engine module; The operation record and optimization unit automatically records the process of each process adjustment, analyzes the adjustment effect and provides data support, providing a basis for system optimization.

6. A sewage treatment system based on intelligent perception and dynamic regulation according to claim 1, characterized in that: The cloud storage service module includes: Data storage and backup unit, which stores sensor data, AI processing results and operation logs of the control platform generated by the cloud database storage system, and supports data encryption and secure transmission; The historical data analysis unit performs trend analysis on long-term stored data and combines it with deep learning algorithms to make predictions and recommendations for future process optimization.

7. A sewage treatment system based on intelligent perception and dynamic regulation according to claim 1, characterized in that: The equipment automatic maintenance module comprises: The predictive maintenance unit uses AI models to predict equipment failure points and maintenance cycles based on sensor data and historical equipment operation data, and generates maintenance plans in advance; Automatic inspection unit, which regularly collects equipment operating conditions, including physical data such as vibration and temperature, through a built-in inspection mechanism to identify potential problems; Remote maintenance unit, through the 5G network, allows operation and maintenance personnel to remotely view the operating status of equipment and perform online maintenance and operations when necessary; The energy and resource recovery module includes: Energy recovery unit, which recovers waste heat generated during sewage treatment through heat exchangers and uses biogas recovery devices to collect the generated gas for in-plant power generation or heating; Resource recovery unit, which recycles solid matter generated during the treatment process through sludge treatment equipment and reuses it as agricultural fertilizer or industrial raw materials.

8. A sewage treatment system based on intelligent perception and dynamic regulation according to claim 1, characterized in that: The system further comprises a processor: for executing a computer program stored in the memory to control the operation of each module of the system; Memory: used to store computer programs, which include methods for realizing intelligent perception and dynamic regulation of sewage treatment operations.

9. The sewage treatment system based on intelligent perception and dynamic regulation according to claim 1 is characterized in that: The system also includes a readable storage medium: a computer program is stored therein, and when the computer program is executed by a processor, it is used to realize intelligent perception and dynamic regulation of sewage treatment operation.

10. The sewage treatment system based on intelligent perception and dynamic regulation according to claim 1 is characterized in that: The operation method of the system comprises the following steps: S1: The water quality parameters, flow, liquid level, temperature and pressure data of the sewage treatment process are collected through the multi-parameter detection module, and the data is transmitted to the AI ​​data processing engine module; S2: The AI ​​data processing engine module pre-processes, analyzes and predicts the received sensor data to generate a control plan for the sewage treatment process; S3: Transmit the data of the multi-parameter detection module and the control scheme of the AI ​​data processing engine module to the intelligent control platform module through the 5G communication module; S4: The intelligent control platform module automatically adjusts the process parameters in the sewage treatment system, including aeration volume, chemical dosage, and sludge return rate, according to the control scheme generated by the AI ​​data processing engine module; S5: Transmit system operation data to the cloud storage service module through the 5G communication module for data storage, backup and historical data analysis; S6: Monitor the status of sewage treatment equipment through the equipment automatic maintenance module, and perform predictive maintenance and automatic inspection of equipment based on sensor data; S7: During the sewage treatment process, waste heat, biogas and solid matter are recovered through the energy and resource recovery module and used for power generation, heating or resource reuse in the factory.

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