Intelligent inspection system and inspection method for aluminum electrolytic rectifier chamber

Abstract

The invention discloses an intelligent inspection system and method for an aluminum electrolytic rectifier chamber. The intelligent inspection system comprises an electromagnetic environment monitoring module, a ventilation system efficiency monitoring module, a data acquisition module, an image acquisition module, a data analysis module, a harmonic analysis module, an alarm module, a communication module and a control module. The electromagnetic environment monitoring module is used for monitoring electromagnetic field intensity and spectral characteristics of the rectifier chamber; and the ventilation system efficiency monitoring module is used for monitoring ventilation quantity, temperature change and harmful gas concentration. The invention has the advantages of reasonable structural design, safe and convenient operation method, easy maintenance, high inspection efficiency and more accurate inspection, is convenient for workers to timely master the environmental condition of the rectifier room, timely discover problems, timely deal with the problems, ensure the normal operation of the operation equipment, and is time-saving and labor-saving.

Description

Technical Field

[0001] The present invention relates to the technical field of equipment inspection in aluminum electrolysis enterprises, and particularly relates to an intelligent inspection system and inspection method for an aluminum electrolysis rectifier room. Background Art

[0002] In recent years, the technological development of aluminum electrolysis rectifier devices has mainly focused on the design and manufacturing of aspects such as the cabinet main structure, components and fast fuses, insulation measures inside the cabinet, auxiliary equipment, various overvoltage protection measures, relay protection, and non-electric quantity protection measures. Therefore, the aluminum electrolysis rectifier room is crucial for the production of electrolytic aluminum and involves the selection of technologies and equipment in multiple aspects. With the continuous progress of technology and the continuous accumulation of application cases, the design and manufacturing of the aluminum electrolysis rectifier room will be more efficient and reliable.

[0003] At present, electrolytic aluminum enterprises mainly judge the operation status and discover faults of the rectifier power supply and distribution system, power supply and distribution system electrical equipment, and components through manual inspection or during the overhaul process, which has certain errors and lags. Manual inspection mainly relies on the human senses for observation, supplemented by methods such as infrared thermometers. It has high requirements for the experience and responsibility of maintenance personnel, and what is seen are only surface phenomena. It is difficult to discover equipment hidden dangers in a timely manner, and even more difficult to discover the development trend of hidden dangers. Manual inspection not only has a large labor intensity, but also is prone to problems such as missed inspections and misjudgments. The rectifier room is a key equipment area, and its operation status directly affects the production efficiency and quality of electrolytic aluminum. With the development of intelligent technology, it is necessary to develop an intelligent inspection system to improve the inspection efficiency and accuracy. Summary of the Invention

[0004] The purpose of the present invention is to provide an intelligent inspection system and inspection method for an aluminum electrolysis rectifier room with a reasonable structural design, convenient operation method, easy maintenance, high inspection efficiency, more accurate inspection, convenient for staff to discover problems in a timely manner, handle them in a timely manner, ensure the normal operation of operating equipment, save manpower, save time, and be more safe and reliable in operation.

[0005] An intelligent inspection system and inspection method for an aluminum electrolysis rectifier room of the present invention includes: an electromagnetic environment monitoring module, a ventilation system efficiency monitoring module, a data acquisition module, an image acquisition module, a data analysis module, a harmonic analysis module, an alarm module, a communication module, and a control module; The electromagnetic environment monitoring module: is used to monitor the electromagnetic environment parameters of the rectifier room, including electromagnetic field strength, spectral characteristics, and electromagnetic compatibility data; The ventilation system efficiency monitoring module: is used to monitor the operation parameters of the ventilation system of the rectifier room, including wind speed, pressure difference, harmful gas concentration, and temperature and humidity gradient change data; The data acquisition module: used to collect the equipment operation data of the rectifier room, including temperature, voltage, current, and sound; The image acquisition module: used to take the appearance images of the equipment; The data analysis module: analyzes and processes the collected data and images; The harmonic analysis module: analyzes the harmonic content and distribution; The alarm module: when detecting equipment anomalies, sends out alarm signals in a timely manner; The communication module: realizes data communication between the various modules of the system and with the monitoring center; The control module: used to manage and control the operation of the equipment.

[0006] The electromagnetic environment monitoring module includes an electromagnetic field intensity sensor, a spectrum analyzer, and an electromagnetic compatibility detection device; it has a real-time spectrum scanning function, continuously monitors the electromagnetic environment parameters of the rectifier room for 24 hours, and obtains the magnetic field intensity, harmonic spectrum distribution, and electromagnetic interference data in the 50Hz - 1MHz frequency band in real time.

[0007] The ventilation system efficiency monitoring module includes an air velocity sensor, a differential pressure sensor, and a VOCs detector; it has a dynamic balance monitoring function, monitors the operation parameters of the ventilation system in the rectifier room, and obtains the air velocity gradient of 0.5 - 15m / s, differential pressure change of ±500Pa, and harmful gas concentration data such as HF / CO in real time.

[0008] The data acquisition module includes a temperature sensor, a voltage sensor, a current sensor, a sound sensor, and a harmonic sensor; it has a real-time monitoring function, continuously monitors the equipment operation status of the rectifier room for 24 hours, and obtains the data of temperature, voltage, current, and sound in real time.

[0009] The data analysis module has the functions of data analysis and diagnosis: deeply analyzes the collected data through built-in algorithms and models.

[0010] The image acquisition module includes a high-definition camera.

[0011] The set electromagnetic environment monitoring module can monitor the electromagnetic field intensity and spectral characteristics of the rectifier room. This module helps to ensure the electromagnetic compatibility of the equipment. The ventilation system efficiency monitoring module can monitor the ventilation volume, temperature change and harmful gas concentration. The data analysis module evaluates the efficiency of the ventilation system based on these data to ensure that the ventilation system can effectively discharge harmful gases and maintain a good working environment. The data acquisition module and image acquisition module can comprehensively collect data on the temperature, voltage, current, sound and equipment appearance images of the equipment in the aluminum electrolysis rectifier room. The collected data is more detailed and comprehensive, assisting the staff to make more accurate later data judgments and processing, and improving the accuracy of the inspection tour. The set harmonic analysis module can analyze the collected current and voltage signals, judge the harmonic content and distribution, and can detect harmonic anomalies in time, providing a basis for subsequent implementation of harmonic control measures. The set data analysis module can analyze the collected data in time, assisting the staff to discover problems in time, and improving the efficiency of judgment and the accuracy of data analysis. The set alarm module can, when the inspection tour system discovers that there are faults in the equipment, notify the staff of the equipment failure situation in time through the alarm module, reminding the staff to process the equipment failure in time and efficiently. The set communication module can be connected to the network, connect the various modules in the inspection tour system, and transmit the data and analysis results to the monitoring center in a timely and accurate manner, making the processing of equipment failures more efficient, assisting the staff to discover the failure problems in time, and making timely response measures, fully ensuring the normal operation of the entire equipment, and providing great convenience for monitoring and maintenance. The set control module is responsible for data processing and instruction issuance, ensuring the accuracy and efficiency of the inspection tour process. Through precise control and management, the control module helps to improve the overall performance and safety of the system.

[0012] An inspection tour method for an intelligent inspection tour system of an aluminum electrolysis rectifier room includes the following steps: S1. Data collection and integration: Collect original data through electromagnetic field intensity sensors, spectrum analyzers, electromagnetic compatibility detection devices, wind speed sensors, differential pressure sensors, VOCs detectors, temperature sensors, voltage sensors, current sensors, sound sensors, harmonic sensors and high-definition cameras, and integrate the original data to form a unified data set; S2. Feature extraction: For the original data collected by electromagnetic field intensity sensors, spectrum analyzers, electromagnetic compatibility detection devices, wind speed sensors, differential pressure sensors, VOCs detectors, temperature sensors, voltage sensors, current sensors, sound sensors, harmonic sensors, calculate the mean value, variance and extreme value; for image data, extract the features of shape, color and texture through image processing technology; for sound data, extract the features of frequency and amplitude; S3. Data analysis: Analyze and process the collected data using statistical analysis methods, machine learning algorithms, Fourier transform algorithms, spectrum analysis methods, and advanced technologies of deep learning techniques; S4. Data fusion: Integrate the data source information from different electromagnetic field strength sensors, spectrum analyzers, electromagnetic compatibility detection devices, wind speed sensors, differential pressure sensors, VOCs detectors, temperature sensors, voltage sensors, current sensors, sound sensors, and harmonic sensors to obtain the status evaluation data of the aluminum electrolysis rectifier room equipment, and comprehensively judge the environmental conditions of the rectifier room and whether there are faults in the equipment; S5. Trend analysis: Analyze the data over a period of time to predict the development trend of the equipment operation status; help detect potential problems in advance and take preventive measures.

[0013] S6. Generate reports and alerts: Generate detailed reports based on the data analysis results, including the environmental conditions of the rectifier room and the health status of the equipment, potential problems, and recommended maintenance measures. When abnormal data is detected, send alerts in a timely manner to notify relevant personnel.

[0014] In the step S4 described above, it is implemented by the following specific methods: (1) The data analysis module determines whether the electromagnetic environment meets the standards based on the collected data, evaluates the efficiency of the ventilation system, and ensures that the ventilation system can effectively discharge harmful gases and maintain a good working environment; (2) Use statistical analysis methods to compare the mean, variance, and extreme values of the current data with the historical data to judge whether there are significant changes in the equipment operation status; (3) Real-time analysis and online learning, process the newly collected data in real time, and quickly give the analysis results; adopt the online learning method to continuously update and optimize the model according to the new data to adapt to the changes in the equipment operation status; (4) Use deep learning techniques, adopt convolutional neural networks to analyze the image data, and identify the appearance defects and abnormal conditions of the equipment; (5) Use the Fourier transform algorithm, adopt the spectrum analysis method to process the current waveform data, and identify harmonic distortion and power quality problems.

[0015] Advantages of the present invention: 1) Real-time monitoring function: It has the real-time spectrum scanning function to continuously monitor the electromagnetic environment parameters of the rectifier room for 24 hours, and obtain the magnetic field intensity, harmonic spectrum distribution and electromagnetic interference data in the frequency band of 50 Hz - 1 MHz in real time; it has the dynamic balance monitoring function to monitor the operating parameters of the ventilation system in the rectifier room, and obtain the wind speed gradient of 0.5 - 15 m / s, the pressure difference change of ±500 Pa and the concentration data of harmful gases such as HF / CO in real time; it can continuously monitor the operating status of the equipment in the rectifier room for 24 hours, obtain key data such as temperature, voltage, current and sound in real time, and clearly record the image information, and can comprehensively collect data on temperature, voltage, current, sound and the appearance image of the equipment in the aluminum electrolysis rectifier room. The collected data is more detailed and comprehensive, assisting the staff to make more accurate data judgments and processing in the later stage, and improving the accuracy of inspection tours.

[0016] 2) Data analysis and diagnosis function: The data analysis module analyzes the monitoring data to judge whether the electromagnetic environment meets the standards, which helps to ensure the electromagnetic compatibility of the equipment; the data analysis module evaluates the efficiency of the ventilation system according to the collected data to ensure that the ventilation system can effectively discharge harmful gases and maintain a good working environment; through the built-in advanced algorithms and models, it deeply analyzes the collected data, not only can accurately judge whether there are abnormalities in the equipment currently, assist the staff to discover problems in time, improve the efficiency of judgment and the accuracy of data analysis, analyze the harmonic content and distribution, but also can predict the possible fault trends of the equipment, provide strong support for preventive maintenance, and provide a basis for taking harmonic control measures.

[0017] 3) Remote control and operation function: The on-site personnel can remotely control the operation of the inspection tour system through the terminal equipment in the main control room, including operations such as adjusting the inspection tour route, changing the data collection frequency, starting or pausing the inspection tour, etc. The set alarm module can, when the inspection tour system discovers that there are faults in the equipment, notify the staff of the equipment fault situation in time through the alarm module, reminding the staff to process the equipment fault in time and efficiently; the set communication module can be connected to the network, connect the various modules in this inspection tour system, and transmit the data and analysis results to the monitoring center in a timely and accurate manner, making the processing of equipment faults more efficient, assisting the staff to discover the fault problems in time and make timely response measures, fully ensuring the normal operation of the entire equipment, and providing great convenience for monitoring and maintenance.

[0018] 4) Data storage and retrieval function: The system can store all the collected data and analysis results for a long time. When it is necessary to retrieve and study the operation status of the equipment, historical data can be conveniently queried and retrieved. The set control module is responsible for data processing and instruction issuance, ensuring the accuracy and efficiency of the inspection process. Through precise control and management, the control module helps to improve the overall performance and security of the system.

[0019] 5) Adaptive learning function: As the operation data of the equipment accumulates continuously, the system can automatically optimize the analysis model and algorithm to improve the accuracy and reliability of detection.

[0020] 6) The inspection system has a reasonable structure design, convenient operation method, easy maintenance, high inspection efficiency, more accurate inspection, which is convenient for the staff to discover problems in time and handle them in time, ensuring the normal operation of the operating equipment, saving manpower, saving time, more safe and reliable in operation, improving the inspection efficiency and accuracy, reducing the labor intensity of manual inspection and the risks of missed inspection and misjudgment; it can monitor the operation status of the equipment in real time, discover and handle equipment failures in time, ensuring the production safety and stability of the aluminum electrolysis enterprise; through data analysis and machine learning algorithms, it can predict the operation trend of the equipment, take maintenance measures in advance, and extend the service life of the equipment; it is not affected by harsh environmental conditions (such as high temperature, high dust), can work stably, ensuring the continuity of inspection; reducing the exposure of personnel in dangerous areas and reducing safety risks. Description of the Drawings

[0021] Figure 1 is the structural block diagram of the intelligent inspection system of the present invention; Figure 2 is the flow chart of the inspection method of the present invention. Detailed Embodiments

[0022] The following will further describe the present invention in conjunction with the attached Figure 1 , 2 to make a further explanation of the present invention.

[0023] An intelligent inspection system for an aluminum electrolysis rectifier room of the present invention, as Figure 1 shown, includes: an electromagnetic environment monitoring module, a ventilation system efficiency monitoring module, a data acquisition module, an image acquisition module, a data analysis module, a harmonic analysis module, an alarm module, a communication module, and a control module; The electromagnetic environment monitoring module: is used to monitor the electromagnetic environment parameters of the rectifier room, including electromagnetic field intensity, spectral characteristics, and electromagnetic compatibility data; The ventilation system efficiency monitoring module: is used to monitor the operation parameters of the ventilation system of the rectifier room, including wind speed, pressure difference, harmful gas concentration, and temperature and humidity gradient change data; The data acquisition module: It is used to collect the equipment operation data of the rectifier room, including temperature, voltage, current, and sound; The image acquisition module: It is used to take the appearance images of the equipment; The data analysis module: It analyzes and processes the collected data and images; The harmonic analysis module: It analyzes the harmonic content and distribution; The alarm module: When detecting equipment anomalies, it issues alarm signals in a timely manner; The communication module: It realizes data communication between the various modules of the system and with the monitoring center; The control module: It is used to manage and control the operation of the equipment.

[0024] The described electromagnetic environment monitoring module includes an electromagnetic field strength sensor, a spectrum analyzer, and an electromagnetic compatibility detection device; it has a real-time spectrum scanning function, continuously monitors the electromagnetic environment parameters of the rectifier room for 24 hours, and obtains the magnetic field strength, harmonic spectrum distribution, and electromagnetic interference data in the 50Hz - 1MHz frequency band in real time.

[0025] The described ventilation system efficiency monitoring module includes a wind speed sensor, a differential pressure sensor, and a VOCs detector; it has a dynamic balance monitoring function, monitors the operation parameters of the ventilation system in the rectifier room, and obtains the wind speed gradient of 0.5 - 15m / s, the differential pressure change of ±500Pa, and the concentration data of harmful gases such as HF / CO in real time.

[0026] The described data acquisition module includes a temperature sensor, a voltage sensor, a current sensor, a sound sensor, and a harmonic sensor; it has a real-time monitoring function, continuously monitors the equipment operation status of the rectifier room for 24 hours, and obtains the data of temperature, voltage, current, and sound in real time.

[0027] The described data analysis module has the functions of data analysis and diagnosis: Through the built-in algorithms and models, it deeply analyzes the collected data.

[0028] The described harmonic analysis module has the functions of harmonic detection and analysis: Through the built-in Fourier transform algorithm and spectrum analysis method, it decomposes the current and voltage signals into spectra, identifies the amplitude and phase distribution of harmonic components, and provides data support for harmonic control.

[0029] The described image acquisition module includes a high-definition camera.

[0030] For the temperature data acquisition, an infrared thermometer is used for comprehensive temperature measurement, and a Fluke 568 is used to monitor the equipment temperature in real time. For the voltage and current data acquisition, a voltage sensor (HIOKI 9018-50 broadband voltage sensor) and a current sensor (PEM CWT Ultra current sensor) are connected to the circuit to obtain voltage and current data. For the sound acquisition, a sound sensor (PCB 377B02 microphone plus a digital noise reduction algorithm sensor) is connected to the circuit to obtain sound data.

[0031] For the harmonic data acquisition, a high-precision current transformer (such as 0.2S class) is installed on the low-voltage side of the rectifier transformer to collect current waveform data in real time at a sampling rate of 10 kHz. The bus voltage signal is synchronously collected using a broadband voltage sensor with a bandwidth of 0 - 5 kHz.

[0032] The image acquisition module can be installed on the inspection track system, move along a predetermined route for shooting, and has zoom and rotation functions to clearly capture various details of the equipment, and is used to shoot the appearance images of the rectifier cabinet bridge arm, fast fuse alarm indicator, water chamber and water pipe, and the control cabinet device parameters.

[0033] The data analysis module uses a variety of data analysis algorithms, such as cluster analysis, association rule mining, and time series analysis, etc., to deeply explore the potential patterns and correlation relationships in the data; based on deep learning image analysis technology, it can accurately identify the subtle changes in the equipment appearance, such as water leakage in the rectifier cabinet water chamber; establish a data warehouse to store and manage the long-term collected data for historical data comparison and trend analysis; adopt data fusion technology to fuse multi-source data such as temperature, voltage, current, and sound to comprehensively judge the operation status of the equipment.

[0034] The alarm module includes an audible and visual alarm, which alarms simultaneously in the rectifier room and the main control room, and sends alarm information to the mobile terminals of relevant personnel; when it is detected that the 5th harmonic content exceeds the 8% limit specified by the IEEE 519 standard, a three-level alarm is triggered.

[0035] The control module can set the inspection route and time interval and coordinate the work of each module.

[0036] As Figure 2 shown, an inspection method for an intelligent inspection system of an aluminum electrolysis rectifier room includes the following steps: S1. Data collection and integration: Collect raw data through an electromagnetic field intensity sensor, a spectrum analyzer, an electromagnetic compatibility detection device, an air velocity sensor, a differential pressure sensor, a VOCs detector, a temperature sensor, a voltage sensor, a current sensor, a sound sensor, a harmonic sensor, and a high-definition camera, and integrate the raw data to form a unified data set; S2. Feature extraction: For the raw data collected by electromagnetic field strength sensors, spectrum analyzers, electromagnetic compatibility testing devices, wind speed sensors, differential pressure sensors, VOCs detectors, temperature sensors, voltage sensors, current sensors, sound sensors, and harmonic sensors, calculate the mean, variance, and extreme values; for image data, extract the features of shape, color, and texture through image processing techniques; for sound data, extract the features of frequency and amplitude. S3. Data analysis: Use statistical analysis methods, machine learning algorithms, Fourier transform algorithms, and spectrum analysis methods, as well as advanced technologies of deep learning to analyze and process the collected data. S4. Data fusion: Integrate the data source information from different electromagnetic field strength sensors, spectrum analyzers, electromagnetic compatibility testing devices, wind speed sensors, differential pressure sensors, VOCs detectors, temperature sensors, voltage sensors, current sensors, sound sensors, and harmonic sensors to obtain the status evaluation data of the aluminum electrolysis rectifier room equipment, and comprehensively judge the environmental conditions of the rectifier room and whether there are faults in the equipment. S5. Trend analysis: Analyze the data over a period of time to predict the development trend of the equipment operation status; help to detect potential problems in advance and take preventive measures.

[0037] S6. Generate reports and alarms: Generate detailed reports based on the data analysis results, including the environmental conditions of the rectifier room and the health status of the equipment, potential problems, and recommended maintenance measures. When abnormal data is detected, send alarms in a timely manner to notify relevant personnel.

[0038] In the above-mentioned step S4, it is implemented through the following specific methods: (1) The data analysis module determines whether the electromagnetic environment meets the standards based on the collected data, evaluates the efficiency of the ventilation system, ensures that the ventilation system can effectively discharge harmful gases, and maintains a good working environment. (2) Use statistical analysis methods to compare the mean, variance, and extreme values of the current data with the historical data to determine whether there are significant changes in the equipment operation status. (3) Real-time analysis and online learning: Process the newly collected data in real time and quickly give the analysis results; adopt the online learning method to continuously update and optimize the model according to the new data to adapt to the changes in the equipment operation status. (4) Use deep learning technology and adopt a convolutional neural network to analyze the image data to identify the appearance defects and abnormal conditions of the equipment. (5) Use the Fourier transform algorithm and adopt the spectrum analysis method to process the current waveform data to identify harmonic distortion and power quality problems.

[0039] In the data collection and integration in step S1, the data acquisition module is used to obtain the operating voltage and current data of the rectifier cabinet from the original ports, an infrared thermal imager is used to collect the temperature, a high-definition camera is used to take the appearance images of the rectifier cabinet arm, fuse alarm, water chamber, water pipe, and the device parameters of the control cabinet, and these multi-source data are integrated to form a unified data set.

[0040] There are seven groups of rectifier cabinet components arranged in parallel in a row. Due to the cabinet structure, one group is blocked. The robot adjusts the observation position and focal length by changing the movement position and lifting the lifting rod to complete the temperature measurement point tasks in the narrow spaces of the remaining 6 groups of rectifier cabinet intervals, with a coverage rate of 85%.

[0041] When the inspection system conducts a single inspection, according to the background instructions, it automatically identifies all the devices that need to be temperature measured in the picture within the preset inspection range. After accurately positioning the devices, it measures the temperature accurately at multiple points. While completing the multi-angle panoramic temperature measurement of the rectifier cabinet, it greatly improves the inspection efficiency.

[0042] The inspection system includes nine major modules. The system moves the lifting arm up and down along the installed track route, and finally aligns the pan-tilt head with the inspection part. It mainly inspects the rectifier cabinet arm alarm, fuse alarm indicator lights, instruments, micro-switch status, temperature measurement at the key parts of the rectifier cabinet components' fuses, water leakage in the rectifier cabinet, etc. After checking the preset inspection parts of one rectifier cabinet, it moves to the next rectifier cabinet until all seven rectifier cabinets are inspected, and then returns to the charging station.

[0043] The inspection system is equipped with visible light pan-tilt cameras, infrared thermal imagers, ultrasonic, humidity, sound, and harmonic sensors, integrates mobile and lifting operation control systems, data acquisition, image acquisition, data analysis, and communication modules, and integrates multi-sensor fusion technology, pattern recognition, and video analysis technology to achieve all-round perception of the rectifier room, fully autonomous intelligent inspection, fully automatic abnormal warning, and intelligent production management.

[0044] The infrared imager carried by the intelligent inspection system detects the operating temperature status of the rectifier cabinet. When the rectifier cabinet is operating, the temperature usually stabilizes within a certain range, and when it is abnormal, the temperature often becomes too high. Therefore, if an overheated area appears, an overheat abnormal signal is sent, and at the same time, the infrared image of the corresponding area is reported, and the maintenance personnel can quickly handle it to avoid possible production accidents.

[0045] The inspection system can greatly improve the inspection efficiency and accuracy of the rectifier, can discover potential hazards in the first time and handle them in a timely manner, avoid the occurrence or expansion of accidents, has higher safety, and has a wide range of applications.

Claims

1. An intelligent inspection system for an aluminum electrolysis rectifier room, characterized in that: include: Electromagnetic environment monitoring module, ventilation system efficiency monitoring module, data acquisition module, image acquisition module, data analysis module, harmonic analysis module, alarm module, communication module, control module; The electromagnetic environment monitoring module is used to monitor the electromagnetic environment parameters of the rectifier room, including electromagnetic field strength, spectrum characteristics and electromagnetic compatibility data; The ventilation system efficiency monitoring module is used to monitor the ventilation system operating parameters of the rectifier room, including wind speed, pressure difference, harmful gas concentration and temperature and humidity gradient change data; The data acquisition module is used to collect the equipment operation data of the rectifier room, including temperature, voltage, current, and sound; The image acquisition module is used to capture the appearance image of the device; The data analysis module is used to analyze and process the collected data and images; The harmonic analysis module is used to analyze the harmonic content and distribution; The alarm module: when an abnormality of the equipment is detected, an alarm signal is issued in time; The communication module is used to realize data communication between the modules of the system and with the monitoring center; The control module is used to manage and control the operation of the device.

2. The intelligent inspection system for aluminum electrolysis rectifier room according to claim 1, characterized in that: The electromagnetic environment monitoring module includes an electromagnetic field strength sensor, a spectrum analyzer and an electromagnetic compatibility detection device; it has a real-time spectrum scanning function, monitors the electromagnetic environment parameters of the rectifier room 24 hours a day, and obtains the magnetic field strength, harmonic spectrum distribution and electromagnetic interference data in the 50Hz-1MHz frequency band in real time.

3. The intelligent inspection system for aluminum electrolysis rectifier room according to claim 1, characterized in that: The ventilation system efficiency monitoring module includes a wind speed sensor, a pressure difference sensor and a VOCs detector; it has a dynamic balance monitoring function, monitors the operating parameters of the rectifier room ventilation system, and obtains real-time data on 0.5-15m / s wind speed gradient, ±500Pa pressure difference change and HF / CO harmful gas concentration.

4. The intelligent inspection system for aluminum electrolysis rectifier room according to claim 1, characterized in that: The data acquisition module includes a temperature sensor, a voltage sensor, a current sensor, a sound sensor, and a harmonic sensor; it has a real-time monitoring function, monitors the equipment operation status of the rectifier room 24 hours a day, and obtains temperature, voltage, current and sound data in real time.

5. The intelligent inspection system for aluminum electrolysis rectifier room according to claim 1, characterized in that: The data analysis module has data analysis and diagnosis functions: it analyzes the collected data through built-in algorithms and models.

6. The intelligent inspection system for aluminum electrolysis rectifier room according to claim 1, characterized in that: The harmonic analysis module has the function of harmonic detection and analysis: through the built-in Fourier transform algorithm and spectrum analysis method, the current and voltage signals are spectrally decomposed, the amplitude and phase distribution of the harmonic components are identified, and data support is provided for harmonic control.

7. The intelligent inspection system for aluminum electrolysis rectifier room according to claim 1, characterized in that: The image acquisition module includes a high-definition camera.

8. The inspection method of the intelligent inspection system for aluminum electrolysis rectifier room according to claim 1 or 2 or 3 or 4 or 5 or 6 or 7, characterized in that: The following steps are involved: S1. Data collection and integration: Collect raw data through electromagnetic field intensity sensors, spectrum analyzers, electromagnetic compatibility detection devices, wind speed sensors, differential pressure sensors, VOCs detectors, temperature sensors, voltage sensors, current sensors, sound sensors, harmonic sensors and high-definition cameras, and integrate the raw data to form a unified data set; S2. Feature extraction: For the raw data collected by electromagnetic field intensity sensors, spectrum analyzers, electromagnetic compatibility detection devices, wind speed sensors, differential pressure sensors, VOCs detectors, temperature sensors, voltage sensors, current sensors, sound sensors, and harmonic sensors, calculate the mean, variance, and extreme value; for image data, extract the features of shape, color, and texture through image processing technology; for sound data, extract the features of frequency and amplitude; S3. Data analysis: Use statistical analysis methods, machine learning algorithms, Fourier transform algorithms, spectrum analysis methods, and deep learning techniques to analyze and process the collected data; S4. Data fusion: The data source information from different electromagnetic field intensity sensors, spectrum analyzers, electromagnetic compatibility detection devices, wind speed sensors, pressure difference sensors, VOCs detectors, temperature sensors, voltage sensors, current sensors, sound sensors, and harmonic sensors are integrated to obtain the status evaluation data of the aluminum electrolysis rectifier room equipment, and comprehensively judge the environmental conditions of the rectifier room and whether there are any equipment faults; S5. Trend analysis: predict the trend of equipment operation status by analyzing data over a period of time; S6. Generate reports and alarms: Generate reports based on data analysis results, including the rectifier room environment conditions and equipment health status, potential problems and recommended maintenance measures, and issue alarms when abnormal data is detected.

9. The inspection method of the intelligent inspection system for an aluminum electrolysis rectifier room according to claim 8, characterized in that: In the step S4, the following specific method is used to implement the process: (1) The data analysis module determines whether the electromagnetic environment meets the standards based on the collected data and evaluates the efficiency of the ventilation system; (2) Use statistical analysis methods to compare the mean, variance, and extreme value of current data with historical data to determine whether the equipment operating status has changed; (3) Real-time analysis and online learning: Process newly collected data in real time and provide analysis results; use online learning to continuously update and optimize the model based on new data to adapt to changes in equipment operating status; (4) Using deep learning technology and convolutional neural networks to analyze image data and identify appearance defects and abnormalities of equipment; (5) Using the Fourier transform algorithm and the spectrum analysis method, the current waveform data is processed to identify harmonic distortion and power quality problems.

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