Sewage treatment visual early warning system and method based on AI

Abstract

The invention discloses an AI-based sewage treatment visual early warning system and method, and belongs to the technical field of sewage treatment. In the system, an information collection device comprises an intelligent camera, a fluorescence method dissolved oxygen sensor, a temperature sensor, a radar liquid level meter, a water quality information collector, a pump vibration monitor and a parameter collector, and parameter information in a sewage treatment field is collected in real time; the signal transmission device transmits the acquired data to a rear-end processing and analyzing system; the data processing and analyzing system is used for processing and analyzing the collected data to find out abnormal points and potential problems in the data, and sending a processing and analyzing result and early warning information to the client; and the client receives and displays the processing analysis result and the early warning information. According to the invention, each link of sewage is monitored, comprehensive real-time on-line monitoring and fault diagnosis are carried out on the equipment operation condition of each link, the accurate control level of the operation of the sewage treatment plant is improved, and environmental protection accidents are avoided.

Description

Technical Field

[0001] The present invention relates to an AI-based sewage treatment visualization early warning system and method, belonging to the technical field of sewage treatment. Background Art

[0002] With the increasing requirements for environmental protection, sewage treatment plants have now achieved full-process closure, and the sewage process requirements have been raised from the previous terminal discharge control to full-process control management, and the process operation requirements for each work section have also been specific to quantitative management.

[0003] Since the sewage entering the sewage treatment plant and the subsequent sewage treatment process are all closed, the actual situation of the incoming water and the treatment process cannot be intuitively understood during the production process; at the same time, the sewage source of the sewage plant is complex, and the sewage quality fluctuates greatly due to intermittent and abnormal sewage discharge. Abnormal conditions such as oil separation flotation water and excessive petroleum often occur, which seriously affects the stable operation of the subsequent biochemical system; 3. The high oil content of the sewage causes incomplete subsequent oil-water separation, and causes other related problems in the downstream process, resulting in sewage treatment failing to meet the standards. Therefore, the traditional sewage treatment plant operation and control methods have been difficult to meet the new environmental protection requirements.

[0004] In view of this problem, the purpose of the present invention is to design an intelligent sewage treatment plant visual early warning system to solve the problem that the existing operation control method cannot adapt to the new environmental protection requirements. Summary of the invention

[0005] In order to solve the above problems, the present invention proposes an AI-based sewage treatment visual early warning system and method, which can solve the problem that the existing operation control method cannot adapt to new environmental protection requirements.

[0006] The technical solution adopted by the present invention to solve the technical problem is:

[0007] In a first aspect, an AI-based sewage treatment visualization early warning system provided by an embodiment of the present invention includes an information collection device, a signal transmission device, a data processing and analysis system, and a client;

[0008] The information collection device collects parameter information in the sewage treatment plant in real time, and the parameter information in the sewage treatment plant includes water quality parameter information and treatment equipment operation parameter information;

[0009] The signal transmission device transmits the data collected by the information collection device to the back-end processing and analysis system;

[0010] The data processing and analysis system processes and analyzes the data collected by the information collection device to find out abnormal points and potential problems, and sends the processing and analysis results and warning information to the client;

[0011] The client receives and displays the processing analysis results and warning information.

[0012] As a possible implementation of this embodiment, the signal transmission device includes a collector and a repeater; the collector and the repeater are installed with embedded communication software.

[0013] As a possible implementation of this embodiment, the collector includes a long-distance wireless collector.

[0014] As a possible implementation of this embodiment, the data processing and analysis system is installed with fault diagnosis and data analysis software and AI recognition software.

[0015] As a possible implementation of this embodiment, the information collection device includes:

[0016] Smart cameras for visual monitoring of sewage inlet screen tanks, flotation tanks, aerobic tanks and sedimentation tanks;

[0017] Fluorescence dissolved oxygen sensor for online real-time chemical analysis of sewage, continuous monitoring of dissolved oxygen, saturation and temperature;

[0018] The temperature sensor is used to collect the temperature of the water about to enter the aeration tank in real time and monitor the inlet temperature of the flotation tank;

[0019] Radar level gauge, used for level monitoring in flotation tanks;

[0020] Water quality information collector, used to monitor water quality of pH, NH3-N, COD and DO at the outlet of the secondary sedimentation tank and the lifting tank;

[0021] Pump vibration monitor, used to monitor the vibration parameters of core moving equipment;

[0022] Parameter collector, used for real-time online monitoring of motor current, voltage, power and insulation parameters.

[0023] As a possible implementation of this embodiment, the data processing and analysis system includes:

[0024] Data acquisition module, used to collect and acquire data on equipment operation status, working parameters and water quality changes from sewage treatment equipment. These data can be collected in real time through various sensors or uploaded regularly;

[0025] The data processing and analysis module is responsible for processing and analyzing the collected data and extracting valuable information;

[0026] The visualization module is used to visualize the results of the data processing and analysis module and generate charts or report formats to facilitate users to intuitively understand the sewage treatment status;

[0027] The early warning module is used to generate early warning information based on the analysis results of the data processing and analysis module, and disseminate it through various means, such as system alarm, email, voice, SMS, etc.;

[0028] Report module, used to automatically save and generate various types of reports, such as equipment operation reports, water quality change reports, abnormal event reports, etc.;

[0029] Communication module, used to store and transmit data and warning information locally, and support data exchange and sharing with other systems;

[0030] Upgrade and maintenance module, used for continuous self-learning and optimization, constantly updating algorithms and rule bases, and improving the accuracy and effectiveness of early warning and diagnosis;

[0031] Interface module, used to provide multiple interfaces, such as API interface, device communication interface, etc., to facilitate later expansion and access to new devices;

[0032] The backup and recovery module is used to quickly switch to the backup device in case of hardware failure to ensure continuous operation of the system;

[0033] The early warning module is used to issue early warnings in a variety of ways, including but not limited to text alarms, graphic alarms, sound alarms, email alarms, and mobile phone APP push notifications;

[0034] Network access module, used to view and modify various settings of the device through the server or remote access system;

[0035] The report module is used to automatically save historical data and warning information and generate reports, which include but are not limited to equipment operation reports, water quality change reports and abnormal event reports, which can help users gain an in-depth understanding of the sewage treatment status.

[0036] In a second aspect, an embodiment of the present invention provides an AI-based sewage treatment visualization early warning method, comprising:

[0037] Step 1: Real-time monitoring of water quality during sewage treatment, measurement and analysis of various water quality parameters, identification of abnormal data and real-time alarm;

[0038] Step 2: Monitor the equipment in the sewage treatment process online, obtain equipment operation information, analyze and process it, accurately predict the equipment status, and immediately issue an alarm when the equipment is abnormal.

[0039] As a possible implementation of this embodiment, step 1 includes the following steps:

[0040] Step 11, collecting on-site sewage data parameters in real time;

[0041] Step 12: Compare the collected sewage data parameters with the sewage index requirements and analyze whether the water quality index meets the requirements;

[0042] Step 13: Identify and judge the water quality that exceeds the standard, and match the reasons for the water quality exceeding the standard and the corresponding treatment methods from the data processing and analysis library, and issue early warnings to the staff on duty and propose corresponding solutions.

[0043] As a possible implementation of this embodiment, step 2 includes the following steps:

[0044] Step 21: Monitor various parameters of the operating equipment in real time;

[0045] Step 22: Compare the various parameters of the operating equipment with the operating index requirements, and analyze whether the operating parameters of the machine pump meet the requirements;

[0046] Step 23: Automatically analyze the parameters that exceed the standard, divide the equipment temperature and vibration parameters into different areas, and define them into three states: non-emergency, emergency, and very emergency;

[0047] Step 24: Send the definition results to the personnel on duty to warn that the equipment has failed, and remind them whether to continue running or stop running according to the status;

[0048] Step 25: Provide inspection and maintenance recommendations for faulty equipment and propose maintenance plans based on emergency situations.

[0049] As a possible implementation of this embodiment, the maintenance solution includes:

[0050] Non-emergency status: When the equipment is warned as non-emergency status, the equipment will be included in the major maintenance plan, reminding the equipment to operate under monitoring status, and informing the maintenance personnel, and testing the warehouse accessories. If there are no corresponding accessories, the relevant personnel will be reminded to purchase them. Only when the maintenance personnel and warehouse accessories meet the requirements at the same time, the maintenance plan will be approved; the equipment maintenance system included simultaneously will provide regular reminders;

[0051] Emergency status: When the equipment is warned of an emergency status, the equipment will be listed in the daily inspection and maintenance plan, reminding the equipment that it needs to be shut down urgently. At the same time, the inspection and maintenance personnel will be informed, and the warehouse accessories will be tested. If there are no corresponding accessories, the relevant personnel will be reminded that emergency purchases are needed. Only when the maintenance personnel and warehouse accessories meet the requirements at the same time, the inspection and maintenance plan can be approved;

[0052] Very urgent state: When the equipment is warned as an emergency state, the equipment will be listed in the emergency repair plan and simultaneously included in the equipment inspection and maintenance system, and the inspection and maintenance personnel will be reminded to fill in the maintenance content and detailed maintenance status.

[0053] The technical solution of the embodiment of the present invention may have the following beneficial effects:

[0054] The present invention monitors the sewage inlet grid pool multiple times to warn of water quality fluctuations of the electro-desalting water, assists operators to discover abnormalities in advance and take timely countermeasures, effectively avoiding the impact of the high oil content in the electro-desalting sewage on the flotation unit and the biochemical unit of the sewage field, and ensuring that the sewage treatment water quality is stable and meets the standards; by monitoring the fluctuations of the electrical parameters of the sedimentation tank scraper, the problem of difficult monitoring caused by the sedimentation tank scraper not being in operation is effectively solved; by video monitoring of the flotation tank, the labor intensity of the team and the potential threat to the personal safety of the team members caused by toxic and harmful gases are effectively reduced, providing support for the stable, safe and environmentally friendly operation of efficient flotation.

[0055] The present invention not only monitors each link of sewage, but also performs comprehensive real-time online monitoring and fault diagnosis on the equipment operation status of each link, thereby improving the precision control level of sewage treatment plant operation, greatly reducing the failure rate, and reducing the manpower and material resources such as process medium discharge, maintenance material consumption, and labor costs caused by maintenance, ensuring that sewage treatment operates in an environmentally friendly manner and avoiding environmental accidents. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] Figure 1 is a structural schematic diagram of a sewage treatment visualization early warning system based on AI according to an exemplary embodiment;

[0057] Figure 2 is a flow chart of a sewage treatment visualization early warning method based on AI according to an exemplary embodiment;

[0058] Figure 3 is a flow chart showing a method of monitoring and early warning of water quality in a sewage treatment process according to an exemplary embodiment;

[0059] Figure 4 The present invention is a flow chart showing a method for monitoring and providing early warning for equipment in a sewage treatment process according to an exemplary embodiment. DETAILED DESCRIPTION

[0060] The present invention will be further described below in conjunction with the accompanying drawings and embodiments:

[0061] In order to clearly illustrate the technical features of the present solution, the present invention is described in detail below through specific implementation methods and in conjunction with the accompanying drawings. The disclosure below provides many different embodiments or examples for realizing different structures of the present invention. In order to simplify the disclosure of the present invention, the components and settings of specific examples are described below. In addition, the present invention may repeat reference numbers and / or letters in different examples. This repetition is for the purpose of simplification and clarity, and does not itself indicate the relationship between the various embodiments and / or settings discussed. It should be noted that the components illustrated in the accompanying drawings are not necessarily drawn to scale. The present invention omits the description of known components and processing techniques and processes to avoid unnecessary limitations on the present invention.

[0062] like Figure 1 As shown, an embodiment of the present invention provides an AI-based sewage treatment visualization early warning system, including an information collection device, a signal transmission device, a data processing and analysis system, and a client;

[0063] The information collection device collects parameter information in the sewage treatment plant in real time. The parameter information in the sewage treatment plant includes water quality parameter information and treatment equipment operation parameter information. This information will be collected and stored in the system to provide a basis for subsequent data processing and analysis;

[0064] The signal transmission device transmits the data collected by the information collection device to the back-end processing and analysis system. The signal transmission device adopts a wired or wireless communication method to ensure the timeliness and integrity of the data;

[0065] The data processing and analysis system processes and analyzes the data collected by the information collection device to find out abnormal points and potential problems, and sends the processing and analysis results and warning information to the client. The data processing and analysis system uses advanced data mining algorithms and machine learning models to achieve intelligent analysis and prediction;

[0066] The client receives and displays the processing analysis results and warning information. The user can conveniently view the operating status of the system through the client and take corresponding measures according to the warning information of the system.

[0067] As a possible implementation of this embodiment, the information collection device includes:

[0068] Smart cameras for visual monitoring of sewage inlet screen tanks, flotation tanks, aerobic tanks and sedimentation tanks;

[0069] Fluorescence dissolved oxygen sensor for online real-time chemical analysis of sewage, continuous monitoring of dissolved oxygen, saturation and temperature;

[0070] The temperature sensor is used to collect the temperature of the water about to enter the aeration tank in real time and monitor the inlet temperature of the flotation tank;

[0071] Radar level gauge, used for level monitoring in flotation tanks;

[0072] Water quality information collector, used to monitor water quality of pH, NH3-N, COD and DO at the outlet of the secondary sedimentation tank and the lifting tank;

[0073] Pump vibration monitor, used to monitor the vibration parameters of core moving equipment;

[0074] Parameter collector, used for real-time online monitoring of motor current, voltage, power and insulation parameters.

[0075] In the design of the information collection device, the present invention adopts a method of combining multiple devices, such as smart cameras, fluorescent dissolved oxygen sensors, temperature sensors, radar level gauges, water quality information collectors, etc. These devices can realize all-round and real-time monitoring of key parameters in the sewage treatment process, providing rich basic data for the system's data processing.

[0076] The information collection device is an important part of the system, and is mainly used to collect various parameter information in the sewage treatment plant in real time. These parameter information include but are not limited to water quality parameter information, treatment equipment operation parameter information, etc. Through the information collection device, the situation in the sewage treatment plant can be grasped in real time, providing basic data for subsequent data processing and analysis.

[0077] Smart cameras are used to monitor various links in the sewage treatment plant, such as the inlet and outlet grille pool, flotation pool, aerobic pool and sedimentation pool. These smart cameras will be able to capture real-time image and video information of each area and transmit this information to the next level. In addition, devices such as fluorescence dissolved oxygen sensors, temperature sensors, radar level gauges and water quality information collectors are used to monitor key parameters in the sewage treatment process in real time, such as dissolved oxygen, temperature, liquid level and water quality. These devices will be installed on repeaters and long-distance wireless collectors to ensure the accuracy and stability of data transmission.

[0078] As a possible implementation of this embodiment, the signal transmission device includes a collector and a repeater; the collector and the repeater are installed with embedded communication software. The collector includes a long-distance wireless collector. In terms of the signal transmission device, the present invention uses a combined structure of a collector and a repeater. This design makes the transmission process more stable and reliable, and at the same time, long-distance data transmission can be achieved through the repeater, which enhances the adaptability of the system. In addition, all signal transmission devices are equipped with professional communication software to ensure the security of data during transmission.

[0079] The function of the signal transmission device is to transmit the data collected by the information collection device to the back-end processing and analysis system. This step ensures the timeliness and accuracy of the data, making the operation of the entire system more efficient and stable. At the same time, the signal transmission device may also be integrated with various communication protocols, such as HTTP, HTTPS, FTP, etc., to adapt to different application scenarios.

[0080] As a possible implementation of this embodiment, the data processing and analysis system is installed with fault diagnosis and data analysis software and AI recognition software. In terms of the data processing and analysis system, the present invention is equipped with fault diagnosis and data analysis software and AI recognition software. These software can help the system quickly identify and locate possible problems, and issue early warnings in time to avoid accidents. At the same time, the AI ​​recognition software can further optimize the data analysis process of the system and improve the intelligence level of the system.

[0081] The data processing and analysis system is the core part of the whole system. It is responsible for processing and analyzing the data collected by the information collection device, finding out the anomalies and potential problems, and sending the processing and analysis results and early warning information to the client. The main purpose of this step is to deeply explore and understand the various parameter information in the sewage treatment process in order to detect abnormal situations in time and issue early warnings. The system may use a variety of algorithms and technologies to achieve this goal, such as machine learning, deep learning, natural language processing, etc.

[0082] Using advanced data processing and analysis algorithms, the image and video information received from the front end, as well as the parameter data from various sensors, are processed and analyzed. AI recognition and fault diagnosis and data analysis are used to better understand and utilize these data. The processing results will be presented to users in the form of warning information, charts, and other visual forms.

[0083] As a possible implementation of this embodiment, the data processing and analysis system includes:

[0084] Data acquisition module, used to collect and acquire data on equipment operation status, working parameters and water quality changes from sewage treatment equipment. These data can be collected in real time through various sensors or uploaded regularly;

[0085] The data processing and analysis module is responsible for processing and analyzing the collected data and extracting valuable information. The processing and analysis module may use machine learning, deep learning and other technologies to achieve intelligent modeling and prediction of the sewage treatment process;

[0086] The visualization module is used to visualize the results of the data processing and analysis module and generate charts or report formats to facilitate users to intuitively understand the sewage treatment status;

[0087] The early warning module is used to generate early warning information based on the analysis results of the data processing and analysis module, and disseminate it through various means, such as system alarm, email, voice, SMS, etc.;

[0088] Report module, used to automatically save and generate various types of reports, such as equipment operation reports, water quality change reports, abnormal event reports, etc.;

[0089] Communication module, used to store and transmit data and warning information locally, and support data exchange and sharing with other systems;

[0090] Upgrade and maintenance module, used for continuous self-learning and optimization, constantly updating algorithms and rule bases, and improving the accuracy and effectiveness of early warning and diagnosis;

[0091] Interface module, used to provide multiple interfaces, such as API interface, device communication interface, etc., to facilitate later expansion and access to new devices;

[0092] The backup and recovery module is used to quickly switch to the backup device in case of hardware failure to ensure continuous operation of the system;

[0093] The early warning module is used to issue early warnings in a variety of ways, including but not limited to text alarms, graphic alarms, sound alarms, email alarms, and mobile phone APP push notifications;

[0094] Network access module, used to view and modify various settings of the device through the server or remote access system;

[0095] The report module is used to automatically save historical data and warning information and generate reports, which include but are not limited to equipment operation reports, water quality change reports and abnormal event reports, which can help users gain an in-depth understanding of the sewage treatment status.

[0096] The data processing and analysis system has the following functions: (1) Customers can customize the time to query the historical and real-time operating parameters, alarm information and charts of the monitored equipment; (2) The query mode of the customer terminal can be changed to automatic scrolling display on duty; (3) The relevant settings of the equipment under its jurisdiction can be viewed and changed remotely; (4) The system automatically saves historical data and warning information and generates reports; (5) It is compatible with data from other monitoring systems and implants it into the fault diagnosis of this system; and / or shares the data of this system with other monitoring systems or smart factory platforms; (6) The data signal is transmitted to the server in the water operation room, and then connected to the local area network of the sewage discharge unit; (7) The system performs fault diagnosis and analysis on the monitoring data, and at the same time has the ability to intelligently predict the future development trend of the data and provide early warning, as well as the ability to self-improve and optimize fault diagnosis capabilities. (8) It has the function of real-time monitoring of equipment operation status, environmental safety and fault diagnosis and early warning; it has excellent scalability, that is, it can efficiently and conveniently increase the access of monitoring equipment sensors according to the needs of later projects, and the configuration of the server should be able to expand the subsequent capacity and computing needs; (9) It has sufficient redundant input ports and output ports for subsequent new access or port damage backup; (10) There are multiple output channels for early warning: diagnostic information is sent from the server in the form of system alarm text, degree, email, voice, SMS and other methods, and can be remotely transmitted to the client; (11) The operating status of the monitored equipment can be viewed through the server or remotely in the local area network, including but not limited to real-time data, historical data, trend charts, waterfall charts and alarm information of the monitoring data; (12) It has the function of monitoring data report, abnormal alarm report and comprehensive diagnostic information report.

[0097] The client is the main interface for users to interact with the entire system. It can receive and display processing analysis results and early warning information, so that users can intuitively understand the situation in the sewage treatment plant and take appropriate measures in a timely manner. The client provides users with an intuitive and easy-to-use interface, allowing users to easily view and operate information throughout the sewage treatment process. Users can customize the time range on the interface, query historical and real-time operating parameters, alarm information and charts, set the query mode to automatic scrolling display, remotely view and change the relevant settings of the equipment, and automatically save historical data and early warning information, and generate reports. In addition, the system should also have the ability to share and integrate data with other monitoring systems, as well as strong scalability and easy system maintenance.

[0098] The system of the present invention can monitor various parameter information of the sewage treatment plant in real time, and perform analysis and early warning, thereby realizing effective management and control of the sewage treatment process.

[0099] The present invention realizes refined management of the sewage treatment process through artificial intelligence and real-time monitoring of equipment, improves treatment efficiency, reduces pollution and lowers costs.

[0100] The invention has the characteristics of high efficiency, accuracy and reliability, and can make important contributions to my country's sewage treatment cause.

[0101] The present invention can effectively collect, efficiently process and analyze various parameter information in the sewage treatment process in real time, and intuitively present early warning information and treatment results in a visual manner, providing users with convenient, fast and accurate sewage treatment monitoring and management means.

[0102] In general, the present invention can realize all-round monitoring and management of the sewage treatment process, improve the intelligence level and efficiency of sewage treatment plants, and also reduce the risk of human intervention, which has important social and economic value.

[0103] like Figure 2 As shown, an AI-based sewage treatment visualization early warning method provided by an embodiment of the present invention includes:

[0104] Step 1: Monitor the water quality in real time during the sewage treatment process, measure and analyze various water quality parameters, identify abnormal data and issue real-time alarms.

[0105] The present invention can monitor the water quality of the sewage treatment process in real time, including the measurement and analysis of various water quality parameters, such as pH value, ammonia nitrogen, nitrite, dissolved oxygen, etc. By using advanced artificial intelligence algorithms and technologies, it can realize efficient and accurate identification and classification of water quality parameters. During the monitoring process, the system will automatically record abnormal data and issue real-time alarms to ensure the safety of water quality conditions.

[0106] like Figure 3 As shown, the step 1 specifically includes the following steps:

[0107] Step 11, collect on-site sewage data parameters in real time; this step is to obtain current sewage data as the basis for subsequent water quality analysis and early warning.

[0108] Step 12: Compare the collected sewage data parameters with the sewage index requirements to analyze whether the water quality index meets the requirements; if the water quality index does not meet the requirements, the next step of identifying excessive water quality and judging the treatment method is triggered.

[0109] Step 13: Identify and judge the water quality that exceeds the standard, match the cause of the water quality exceeding the standard and the corresponding treatment method from the data processing and analysis library, and issue an early warning to the post personnel and propose corresponding solutions. This step is mainly to find out the specific reasons that may cause abnormal water quality. The identified reasons will be stored in the data processing and analysis library and matched with the existing treatment methods and solutions. Once the match is successful, an early warning message will be generated to warn the post personnel and propose corresponding solutions.

[0110] Step 2: Monitor the equipment in the sewage treatment process online, obtain equipment operation information, analyze and process it, accurately predict the equipment status, and immediately issue an alarm when the equipment is abnormal.

[0111] The present invention can monitor the equipment in the sewage treatment process online, including the equipment's operating status, working parameters, fault warning and other aspects; by connecting with the data interface of related equipment, the equipment operation information is obtained, and AI technology is used for analysis and processing to achieve accurate prediction of the equipment status. When the equipment is abnormal, an alarm will be issued immediately to remind the operator to perform timely maintenance or replace the equipment to reduce the risk of equipment failure.

[0112] The present invention integrates the data of water quality monitoring and equipment monitoring to construct a complete sewage treatment system, and displays the status information of each link in the sewage treatment process through the interface, such as the changing trend of water quality parameters, equipment operation status, alarm prompts, etc. Users can intuitively understand the operation status of the entire sewage treatment system through this interface, which is convenient for scheduling and management. The present invention realizes the visual early warning of water quality and equipment status in the sewage treatment process, and improves the safety and efficiency of sewage treatment; through real-time monitoring and early warning of water quality and equipment status, users can better understand the operation status of the entire sewage treatment system, providing users with convenient and efficient decision support.

[0113] like Figure 4 As shown, the step 2 specifically includes the following steps:

[0114] Step 21: Monitor various parameters of the operating equipment in real time; this step is to obtain the actual operating status of the equipment as the basis for subsequent equipment status judgment and fault warning.

[0115] Step 22: Compare the various parameters of the operating equipment with the operating index requirements, and analyze whether the operating parameters of the machine pump meet the requirements; if the operating parameters of the equipment do not meet the requirements, it will trigger the next step of exceeding the standard parameter analysis and treatment method judgment.

[0116] Step 23: Automatically analyze the parameters that exceed the standard, divide the equipment temperature and vibration parameters into different areas, and define them into three states: non-emergency, emergency, and very emergency. This step is to further clarify the possible types of faults and provide a reference for subsequent fault warnings and handling method judgments.

[0117] Step 24: Send the definition results to the personnel on duty to warn that the equipment has failed, and remind them whether to continue running or stop running according to the status;

[0118] Step 25: Propose inspection and maintenance suggestions for the faulty equipment, and propose a maintenance plan based on the emergency situation; the maintenance plan includes:

[0119] (1) Non-emergency status: When the equipment is warned as non-emergency status, the equipment will be included in the major maintenance plan, reminding the equipment to operate under monitoring status, and informing the maintenance personnel, and testing the warehouse accessories. If there are no corresponding accessories, the relevant personnel will be reminded to purchase them. Only when the maintenance personnel and warehouse accessories meet the requirements at the same time, the maintenance plan will be approved; the equipment maintenance system included simultaneously will provide regular reminders;

[0120] (2) Emergency status: When the equipment is warned of an emergency status, the equipment will be listed in the daily inspection and maintenance plan, reminding the equipment that it needs to be shut down urgently. At the same time, the inspection and maintenance personnel will be informed and the warehouse accessories will be tested. If there are no corresponding accessories, the relevant personnel will be reminded that emergency purchases are needed. Only when the maintenance personnel and warehouse accessories meet the requirements at the same time, the inspection and maintenance plan will be approved;

[0121] (3) Extreme emergency status: When the equipment is warned of an emergency status, the equipment will be listed in the emergency repair plan and simultaneously included in the equipment inspection and maintenance system, and the inspection and maintenance personnel will be reminded to fill in the maintenance content and detailed maintenance status.

[0122] The AI-based visual early warning method for sewage treatment mainly monitors and warns water quality changes in real time during sewage treatment. At the same time, it also monitors and warns various equipment parameters that may affect the normal operation of the sewage treatment process. Finally, based on the analysis results of the equipment status, the alarm information is fed back to the operator, and a fault warning is issued. If the equipment is in a non-emergency area, the equipment will be included in the major overhaul plan, and the operator will be reminded to continue operating under monitoring. At the same time, the inspection and maintenance personnel will be notified to check the inventory accessories, and remind relevant personnel to purchase them urgently when there are no suitable accessories. The maintenance plan can only be approved when both the equipment and warehouse accessories meet the requirements. In a very urgent state, the inspection and maintenance personnel will be notified immediately to start the emergency repair plan. In addition, specific equipment use or maintenance recommendations will be given based on the equipment status.

[0123] In general, the present invention can timely discover and warn of problems that may occur during sewage treatment, thereby ensuring the normal and stable operation of the sewage treatment system, improving work efficiency and reducing operating costs.

[0124] The present invention can timely detect production anomalies and issue early warnings. Since the system was put into use, it has repeatedly detected abnormal water inflow from the sewage treatment plant and issued early warnings. Among them, the video monitoring of the grid pool has repeatedly warned of fluctuations in the water quality of the electro-desalting water, assisting operators to discover abnormalities in advance and take timely countermeasures, effectively avoiding the impact of the high oil content in the electro-desalting wastewater on the flotation unit and biochemical unit of the sewage plant, ensuring that the sewage treatment water quality is stable and up to standard; the fluctuation of the electrical parameters of the sedimentation tank scraper effectively solves the problem of difficult monitoring caused by the sedimentation tank scraper not being in operation; the efficient flotation video monitoring effectively reduces the labor intensity of the team and the potential threat to the personal safety of the team members caused by toxic and harmful gases, and provides support for the stable, safe and environmentally friendly operation of efficient flotation.

[0125] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A sewage treatment visual early warning system based on AI, characterized in that: It includes information collection device, signal transmission device, data processing and analysis system and client; The information collection device collects parameter information in the sewage treatment plant in real time, and the parameter information in the sewage treatment plant is not limited to water quality parameter information and treatment equipment operation parameter information; The signal transmission device transmits the data collected by the information collection device to the back-end processing and analysis system; The data processing and analysis system processes and analyzes the data collected by the information collection device to find out abnormal points and potential problems, and sends the processing and analysis results and warning information to the client; The client receives and displays the processing analysis results and warning information.

2. The AI-based sewage treatment visual early warning system according to claim 1 is characterized in that: The signal transmission device comprises a collector and a repeater; the collector and the repeater are installed with embedded communication software.

3. The AI-based sewage treatment visual early warning system according to claim 2 is characterized in that: The collector includes a long-distance wireless collector.

4. The AI-based sewage treatment visual early warning system according to claim 1 is characterized in that: The data processing and analysis system is installed with fault diagnosis and data analysis software and AI recognition software.

5. The AI-based sewage treatment visualization early warning system according to any one of claims 1 to 4, characterized in that: The information collection device comprises: Smart cameras for visual monitoring of sewage inlet screen tanks, flotation tanks, aerobic tanks and sedimentation tanks; Fluorescence dissolved oxygen sensor for online real-time chemical analysis of sewage, continuous monitoring of dissolved oxygen, saturation and temperature; The temperature sensor is used to collect the temperature of the water about to enter the aeration tank in real time and monitor the inlet temperature of the flotation tank; Radar level gauge, used for level monitoring in flotation tanks; Water quality information collector, used to monitor water quality of pH, NH3-N, COD and DO at the outlet of the secondary sedimentation tank and the lifting tank; Pump vibration monitor, used to monitor the vibration parameters of core moving equipment; Parameter collector, used for real-time online monitoring of motor current, voltage, power and insulation parameters.

6. The AI-based sewage treatment visualization early warning system according to any one of claims 1 to 4, characterized in that: The data processing and analysis system comprises: Data acquisition module, used to collect and acquire equipment operation status, working parameters and water quality change data from sewage treatment equipment; The data processing and analysis module is responsible for processing and analyzing the collected data and extracting valuable information; The visualization module is used to visualize the results processed by the data processing and analysis module and generate charts or report formats; The early warning module is used to generate early warning information based on the analysis results of the data processing and analysis module, and disseminate it through various means; Report module, used to automatically save and generate various types of reports; Communication module, used to store and transmit data and warning information locally, and support data exchange and sharing with other systems; Upgrade and maintenance module, used for continuous self-learning and optimization, and constantly updating algorithms and rule bases; Interface module, used to provide multiple interfaces; Backup and recovery module, used to quickly switch to backup equipment in case of hardware failure; The early warning module is used to issue early warnings in a variety of ways, including but not limited to text alarms, graphic alarms, sound alarms, email alarms, and mobile phone APP push notifications; Network access module, used to view and modify various settings of the device through the server or remote access system; The report module is used to automatically save historical data and warning information and generate reports, including but not limited to equipment operation reports, water quality change reports and abnormal event reports.

7. A sewage treatment visual early warning method based on AI, characterized in that: include: Step 1: Real-time monitoring of water quality during sewage treatment, measurement and analysis of various water quality parameters, identification of abnormal data and real-time alarm; Step 2: Monitor the equipment in the sewage treatment process online, obtain equipment operation information, analyze and process it, accurately predict the equipment status, and immediately issue an alarm when the equipment is abnormal.

8. The AI-based sewage treatment visual early warning method according to claim 7 is characterized in that: The step 1 comprises the following steps: Step 11, collecting on-site sewage data parameters in real time; Step 12: Compare the collected sewage data parameters with the sewage index requirements and analyze whether the water quality index meets the requirements; Step 13: Identify and judge the water quality that exceeds the standard, and match the reasons for the water quality exceeding the standard and the corresponding treatment methods from the data processing and analysis library, and issue early warnings to the staff on duty and propose corresponding solutions.

9. The AI-based sewage treatment visual early warning method according to claim 7 is characterized in that: The step 2 comprises the following steps: Step 21: Monitor various parameters of the operating equipment in real time; Step 22: Compare the various parameters of the operating equipment with the operating index requirements, and analyze whether the operating parameters of the machine pump meet the requirements; Step 23: Automatically analyze the parameters that exceed the standard, divide the equipment temperature and vibration parameters into different areas, and define them into three states: non-emergency, emergency, and very emergency; Step 24: Send the definition results to the personnel on duty to warn that the equipment has failed, and remind them whether to continue running or stop running according to the status; Step 25: Provide inspection and maintenance recommendations for faulty equipment and propose maintenance plans based on emergency situations.

10. The AI-based sewage treatment visual early warning method according to claim 9 is characterized in that: The maintenance plan includes: Non-emergency status: When the equipment is warned as non-emergency status, the equipment will be included in the major maintenance plan, reminding the equipment to operate under monitoring status, and informing the maintenance personnel, and testing the warehouse accessories. If there are no corresponding accessories, the relevant personnel will be reminded to purchase them. Only when the maintenance personnel and warehouse accessories meet the requirements at the same time, the maintenance plan will be approved; the equipment maintenance system included simultaneously will provide regular reminders; Emergency status: When the equipment is warned of an emergency status, the equipment will be listed in the daily inspection and maintenance plan, reminding the equipment that it needs to be shut down urgently. At the same time, the inspection and maintenance personnel will be informed, and the warehouse accessories will be tested. If there are no corresponding accessories, the relevant personnel will be reminded that emergency purchases are needed. Only when the maintenance personnel and warehouse accessories meet the requirements at the same time, the inspection and maintenance plan can be approved; Very urgent state: When the equipment is warned as an emergency state, the equipment will be listed in the emergency repair plan and simultaneously included in the equipment inspection and maintenance system, and the inspection and maintenance personnel will be reminded to fill in the maintenance content and detailed maintenance status.

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