Belt conveyor unmanned inspection system

Abstract

The application discloses a kind of belt conveyer unmanned inspection system, the audio and video monitoring unit of the present system, equipment state monitoring unit and inspection robot connection data analysis unit, data analysis unit connects equipment monitoring diagnosis platform;Audio and video monitoring unit uses network camera and sound wave sensor to monitor measuring point, vibration and temperature sensor are set in rotating part in equipment state monitoring unit, inspection robot is equipped with video camera with infrared auxiliary light source, infrared thermal imager and gas detection analyzer, and the environment is monitored;Monitoring data is transmitted to data analysis unit, data analysis unit manages, stores and diagnoses analysis to acquisition data, and is transmitted to equipment monitoring diagnosis platform, equipment monitoring diagnosis platform manages equipment and state, alarm event management, and give classification query and report statistics.The system improves the intelligent level of equipment state monitoring diagnosis, reduces inspection load, improves labor efficiency.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of equipment monitoring and diagnosis, in particular to a belt conveyor unmanned inspection system. BACKGROUND

[0002] The main equipment for raw material input in the metallurgical industry is a belt conveyor, which mainly consists of a driving device, a rack, a transmission roller, a redirection roller, a conveyor belt, a tensioning device, a carrier roller, etc. Its characteristics are long line, wide surface, and many points, and the daily inspection workload is quite high. Due to the poor on-site environment, high temperature, and large dust, and the difficulty in checking the rotating equipment body, it is difficult to grasp the equipment state, and once a fault occurs, it will affect the smoothness of the logistics and may lead to serious safety accidents.

[0003] The belt conveyor mainly uses the conveyor belt as the traction and load-bearing member, and the material is conveyed through the movement of the load-bearing conveyor belt. The conveyor belt is wound around the transmission roller and the tail roller to form a load-carrying loop, and the upper and lower conveyor belts are supported by carrier rollers to limit the deflection of the conveyor belt. The tensioning device provides the required tension for the normal operation of the conveyor belt. When working, the driving device drives the transmission roller, which drives the conveyor belt to run through the friction between the transmission roller and the conveyor belt. The material is loaded on the conveyor belt and moves with the conveyor belt.

[0004] Currently, when inspecting the belt conveyor, the five-sense method is basically used for judgment, which has low precision and large workload, is not conducive to long-term equipment management, cannot timely discover hidden dangers and defects of the equipment, and is contrary to the advocated intelligent management of equipment.

[0005] Currently, the belt conveyor equipment state online monitoring and alarm system is a technical development trend.

[0006] There is no such belt conveyor equipment state comprehensive online monitoring and early warning unmanned inspection system in domestic steel enterprises. The intelligent level of equipment state monitoring and diagnosis technology is improved, the workload of equipment management personnel is reduced, and the labor efficiency is improved. SUMMARY

[0007] The technical problem to be solved by the present application is to provide a belt conveyor unmanned inspection system. The present system overcomes the defects of traditional manual inspection, uses image, video, audio, and other intelligent recognition technologies to improve the equipment state control ability, improves the intelligent level of equipment state monitoring and diagnosis, reduces the workload of equipment management personnel, and improves the labor efficiency.

[0008] In order to solve the above technical problems, the belt conveyor unmanned inspection system comprises an audio and video monitoring unit, a device state monitoring unit, an inspection robot, a data analysis unit and a device monitoring and diagnosis platform, the audio and video monitoring unit and the device state monitoring unit are connected with the data analysis unit through a communication link, the inspection robot is connected with the data analysis unit through a wireless AP or 4G network access communication link, and the data analysis unit is connected with the device monitoring and diagnosis platform through a network;

[0009] The audio and video monitoring unit comprises a network camera, a sound wave sensor and a hard disk video recorder arranged at each driving measuring point of the belt conveyor, the network camera is used for video monitoring, the sound wave sensor is used for sound collection, and a video signal is stored in the hard disk video recorder.

[0010] The device state monitoring unit comprises a vibration sensor and a temperature sensor arranged at a rotating part of the belt conveyor, and the bearing vibration and temperature of the rotating part are monitored in real time.

[0011] The inspection robot is hung on a belt conveying pipe gallery of the belt conveyor and is provided with a video camera with an infrared auxiliary light source, an infrared thermal imager and a gas detection analyzer.

[0012] The data analysis unit comprises a data acquisition management module, a data communication management module, a data storage management module and a device state comprehensive diagnosis module, the data acquisition management module performs overall control on received data, realizes management and scheduling of external data uploading and data analysis through configuration; the data communication management module automatically analyzes different types of received data, merges the data to corresponding designated measuring points of the belt conveyor according to configuration, completes automatic association between measuring points and data, performs various numerical calculations according to configuration, and extracts characteristic quantities required for various analyses; the data storage management module performs real-time storage, temporary storage and persistent storage management of data according to data types; the device state comprehensive diagnosis module presets a general analysis model, comprehensively analyzes and diagnoses the state of the belt conveyor according to various state data, and triggers corresponding business processes according to different diagnosis conclusions.

[0013] The device monitoring diagnosis platform comprises a device tree configuration and basic information configuration module, a state centralized display module, an alarm event management module, a classification query and report statistics module and a user permission configuration module, the device tree configuration and basic information configuration module performs hierarchical management, attribute management, measurement point management, detection parameter management and device document management on the belt conveyor, the state centralized display module displays the monitored device state, quantity statistics and early warning information in real time, the alarm event management module provides setting alarm device attribution and statistical rules, forms the transmission, display, push and final evaluation process after alarm generation, the classification query and report statistics module provides report definition and query function, and the user permission configuration module performs user management and permission management.

[0014] Further, the audio and video monitoring unit calls field video through visualization, performs image recognition, monitors each driving measurement point place of the belt conveyor, performs time domain signal analysis and spectrum analysis on the audio signal, compares and analyzes the sound wave under normal working condition with the sound wave under abnormal working condition, alarms the information after filtering processing when the sound intensity exceeds the set decibel, records the time and position information of the abnormal sound and performs display and saving.

[0015] Further, the vibration sensor and the temperature sensor of the device state monitoring unit are arranged at the motor, the speed reducer and the roller of the belt conveyor, the monitoring data is transmitted through wired or wireless network, the wired network transmission is selected for the variable speed device, the wireless network transmission is selected for the steady state device and the output speed greater than 120 revolutions per minute, the wired network transmission is selected for the key belt, the wireless network transmission is selected for the non-key belt, and the wireless network transmission is selected for the occasion without wired network / optical fiber.

[0016] Further, the vibration sensor and the temperature sensor are integrated sensors, and the measurement points are configured according to the following principles:

[0017] One horizontal measurement point is arranged at the front and rear ends of the motor, and the integrated sensor is close to the bearing seat during installation, and one horizontal measurement point is arranged at the load end of the small size motor;

[0018] The gear box measurement point direction is arranged horizontally, vertically and axially, and one measurement point is arranged at each bearing seat, one axial measurement point is arranged on both sides of the gear box, and the same shaft system is staggered;

[0019] One horizontal measurement point is arranged at the bearing seat position on both sides of the roller, and the vibration signal is used for trend judgment due to the low speed of the roller cover.

[0020] Further, the device state monitoring unit sets threshold value and deviation alarm for the vibration signal, alarms the information after filtering processing when the vibration signal exceeds the threshold value, records the time and position information of the abnormal occurrence and performs display and saving;

[0021] For the vibration time domain signal, synchronous trigger acquisition or tour acquisition is adopted, and the collected digital signal is preprocessed by removing outliers, filtering and reducing noise, eliminating interference, improving signal-to-noise ratio and data quality, calculating the effective value, peak value, dimensionless value and impact quantity of the preprocessed digital signal of vibration speed and vibration acceleration, realizing trend early warning; At the same time, the vibration time domain signal waveform is operated by window function, and accurate Fourier transform is executed to extract frequency domain state and fault characteristic quantity index, and realize fault diagnosis; The threshold and deviation alarm of temperature signal are set, the information after filtering processing of temperature signal exceeding the threshold is alarmed, and the time and position information of abnormal occurrence are recorded, displayed and saved.

[0022] Further, the video camera of the inspection robot monitors the appearance, falling material and ash emission of the belt conveyor, the video camera has dustproof protection and the uploaded video resolution is not less than 1080P, supports video playing, stopping, grabbing, recording and display functions; The infrared thermal imager collects the heat, concentrated smoke and open fire information in the belt conveyor, and has an automatic focusing function, a resolution of not less than 384*288, an infrared image display image with the highest temperature point position and temperature value, an imaging data of infrared image, a measurement accuracy of 2% or 2℃ of reading, an absolute value of the larger one, and a measurement range of not less than -20-200℃; The gas detection analyzer collects the content of oxygen and toxic and harmful gas in the surrounding air, the detection accuracy of oxygen content is 0.1% by volume, the response time is not more than 30s, the detection accuracy of toxic and harmful gas content is 1% by volume, and the response time is not more than 20s.

[0023] Further, the data temporary storage of the data storage management module in the data analysis unit stores not more than one month of original analysis data according to professional needs, stores real-time data in the redis real-time database according to data classification and high frequency use, stores various diagnostic results and collected quantitative value associated data in the Postgresql or Mysql relational database, and stores various collected state data in the Hbase distributed database.

[0024] Further, the user right configuration module user management in the equipment monitoring and diagnosis platform includes basic management functions such as user adding, modifying and deleting, the right management includes defining user roles and allowing users to customize roles, setting page browsing and operation rights according to different roles.

[0025] Further, the equipment monitoring and diagnosis platform further includes an interface function module, the interface function module reserves and designs a compatible and expandable communication interface, and data is called and read and written by the upper equipment management system through the compatible and expandable communication interface.

[0026] The belt conveyor unmanned inspection system of the present application adopts the above technical scheme, that is, the system comprises an audio and video monitoring unit, a device state monitoring unit, an inspection robot, a data analysis unit and a device monitoring and diagnosis platform, the audio and video monitoring unit and the device state monitoring unit are connected to the data analysis unit through a communication link, the inspection robot is connected to the data analysis unit through a wireless AP or 4G network access communication link, and the data analysis unit is connected to the device monitoring and diagnosis platform through a network; the audio and video monitoring unit uses a network camera and a sound wave sensor to monitor the measuring points, the device state monitoring unit is provided with vibration sensors and temperature sensors for monitoring vibration and temperature state of rotating parts of the belt conveyor, and the inspection robot is provided with a video camera with an infrared auxiliary light source, an infrared thermal imager and a gas detection analyzer for monitoring the environment of the belt conveyor; the monitoring data is transmitted to the data analysis unit, the data analysis unit manages, stores and diagnoses the collected data, and transmits the data to the device monitoring and diagnosis platform, the device monitoring and diagnosis platform manages the device state and alarm events, and gives classified query and report statistics. The system overcomes the defects of traditional manual inspection, uses image, video, audio and other intelligent recognition technologies to improve the device state control ability, improves the intelligent level of device state monitoring and diagnosis, reduces the load of device management personnel, and improves the labor efficiency. BRIEF DESCRIPTION OF DRAWINGS

[0027] The present application will be further described in detail below in combination with the drawings and embodiments:

[0028] Figure 1 The present application is a belt conveyor unmanned inspection system principle diagram. DETAILED DESCRIPTION

[0029] Embodiments such as Figure 1 As shown in the drawings, the belt conveyor unmanned inspection system of the present application comprises an audio and video monitoring unit, a device state monitoring unit, an inspection robot, a data analysis unit and a device monitoring and diagnosis platform, the audio and video monitoring unit and the device state monitoring unit are connected to the data analysis unit through a communication link, the inspection robot is connected to the data analysis unit through a wireless AP or 4G network access communication link, and the data analysis unit is connected to the device monitoring and diagnosis platform through a network;

[0030] The audio and video monitoring unit comprises a network camera, a sound wave sensor and a hard disk video recorder arranged at each driving measuring point of the belt conveyor, the network camera is used for video monitoring, the sound wave sensor is used for sound collection, and the video signal is stored in the hard disk video recorder, and the audio signal is uniformly managed by the data analysis unit;

[0031] The device state monitoring unit comprises a vibration sensor and a temperature sensor arranged on the rotating part of the belt conveyor, and the vibration and temperature of the bearing of the rotating part are monitored in real time; the vibration sensor is preferably an acceleration sensor;

[0032] The inspection robot is hung on the belt conveying pipe gallery of the belt conveyor, and is provided with a video camera with an infrared auxiliary light source, an infrared thermal imager and a gas detection analyzer; the inspection robot further comprises a wireless communication system, a wireless charging device, a positioning module, a background monitoring platform and other components, adopts a manual control semi-autonomous or autonomous control mode, and is used for belt pipe gallery inspection operation;

[0033] The data analysis unit comprises a data acquisition management module, a data communication management module, a data storage management module and a device state comprehensive diagnosis module; the data acquisition management module performs overall control on the received data, realizes the management and scheduling of external data uploading and data analysis through configuration, performs real-time monitoring on data communication of the configured communication link, tracks the communication process state of each communication link, automatically recovers the abnormality, forms a communication fault early warning and reports for long-term non-response path, so as to ensure the stability and safety of the communication link; the data communication management module automatically analyzes the received different types of data, merges the data to the corresponding designated measuring point of the belt conveyor according to the configuration, completes the automatic association between the measuring point and the data, performs various numerical calculations according to the configuration, and extracts various analysis required characteristic quantities; the data storage management module performs real-time storage, temporary storage and persistent storage management of data according to the data type; the device state comprehensive diagnosis module preloads a general analysis model, and comprehensively analyzes and diagnoses the state of the belt conveyor according to various state data, and triggers corresponding business processes according to different diagnosis conclusions;

[0034] The device monitoring and diagnosis platform comprises a device tree configuration and basic information configuration module, a state centralized display module, an alarm event management module, a classification query and report statistical module and a user permission configuration module; the device tree configuration and basic information configuration module performs hierarchical management, attribute management, measuring point management, detection parameter management and device document management on the belt conveyor; the state centralized display module displays the monitored device state, quantity statistics and early warning information in real time; the alarm event management module provides setting alarm device attribution and statistical rules, forms the transmission, display, push and final evaluation process after alarm generation; the classification query and report statistical module provides report definition and query function; the user permission configuration module performs user management and permission management.

[0035] Preferably, the audio and video monitoring unit calls the live video through visualization, conducts image recognition, and monitors the driving point sites of the belt conveyor; the audio signal is subjected to time domain signal analysis and spectrum analysis, the sound waves of normal working conditions are compared and analyzed with the sound waves of abnormal working conditions, the information after filtering treatment of sound intensity exceeding the set decibels is alarmed, the time and position information of abnormal sound occurrence are recorded, displayed and saved.

[0036] Preferably, the vibration sensor and the temperature sensor of the equipment state monitoring unit are arranged at the motor, the speed reducer and the roller of the belt conveyor, the monitoring data is transmitted through wired or wireless network, the wired network transmission is selected for the variable speed equipment, the wireless network transmission is selected for the steady-state equipment and the output speed greater than 120 rpm, the wired network transmission is selected for the key belt, the wireless network transmission is selected for the non-key belt, and the wireless network transmission is selected for the occasion without wired network / optical fiber.

[0037] Preferably, the vibration sensor and the temperature sensor are integrated sensors, and the measuring points are arranged according to the following principles:

[0038] One horizontal measuring point is arranged at the front and rear ends of the motor, and the integrated sensor is close to the bearing seat during installation; one horizontal measuring point is arranged at the load end of the small-size motor;

[0039] The measuring points of the gear box are arranged in horizontal, vertical and axial directions, and one measuring point is arranged at each bearing seat, one axial measuring point is arranged on each side of the gear box, and the axial measuring points are staggered on the same shaft system;

[0040] One horizontal measuring point is arranged at the bearing seat position on each side of the roller, and the vibration signal is used for trend judgment due to the low speed of the roller cover.

[0041] Preferably, the equipment state monitoring unit sets threshold and deviation alarms for the vibration signal, alarms the information after filtering treatment of the vibration signal exceeding the threshold, records the time and position information of abnormal occurrence, and displays and saves them;

[0042] The synchronous trigger collection or the tour collection is adopted for the vibration time domain signal, the wild point removal, filtering and noise reduction pretreatment are performed on the collected digital signal, the interference is eliminated, the signal-to-noise ratio and data quality are improved, the effective value, peak value, dimensionless value and impact quantity static characteristic quantity of the vibration speed and vibration acceleration of the pretreated digital signal are calculated, the trend early warning is realized; the dimensionless value includes kurtosis, skewness and other data; at the same time, the window function operation is performed on the vibration time domain signal waveform, the accurate Fourier transform is executed, the frequency domain state and fault characteristic quantity index are extracted, and the fault diagnosis is realized; the threshold and deviation alarms are set for the temperature signal, the information after filtering treatment of the temperature signal exceeding the threshold is alarmed, the time and position information of abnormal occurrence are recorded, displayed and saved.

[0043] Preferably, the video camera of the inspection robot monitors the appearance of the belt conveyor, the falling material and the dust emission, the video camera has dustproof protection and the uploaded video resolution is not less than 1080P, supports video playing, stopping, screenshot, recording and display functions; the infrared thermal imager collects the heat, concentrated smoke and open fire information in the belt conveyor, has an automatic focusing function, the resolution is not less than 384x288, the infrared image display image shows the position and temperature value of the highest temperature point, has the imaging data of the infrared image, the measurement accuracy is 2% or 2℃ of the reading, takes the absolute value of the larger one, and the measurement range is not less than -20-200℃; the gas detection analyzer collects the content of oxygen and toxic and harmful gas in the surrounding air, the detection accuracy of oxygen content is 0.1% by volume, the response time is not more than 30s, the detection accuracy of toxic and harmful gas content is 1% by volume, and the response time is not more than 20s.

[0044] Preferably, the data temporary storage of the data storage management module in the data analysis unit stores not more than one month of original analysis data according to professional needs, stores real-time data in the redis real-time database according to data classification and needs high frequency use, stores various diagnostic results and collected quantitative value associated data in the Postgresql or Mysql relational database, and stores various collected state data in the Hbase distributed database.

[0045] Preferably, the user management of the user permission configuration module in the equipment monitoring and diagnosis platform includes basic management functions such as user addition, modification and deletion, the permission management includes defining user roles and allowing users to customize roles, and setting page browsing and operation permissions according to different roles.

[0046] Preferably, the equipment monitoring and diagnosis platform further includes an interface function module, the interface function module reserves and designs a compatible and expandable communication interface, and data is called and read and written by the upper equipment management system in real time through the compatible and expandable communication interface.

[0047] The inspection system mainly monitors the belt, motor, gear box and roller of the belt conveyor and other related important equipment, the system architecture adopts a three-layer architecture composed of a collection layer, an analysis layer and an application layer, collects the state data and self-checking information of the equipment, filters and cleans the data, realizes data collection, analysis, storage and diagnosis, and realizes equipment basic management, equipment early warning, diagnosis and information pushing. The intelligent level of equipment state monitoring and diagnosis is improved, the workload of equipment managers is reduced, the labor efficiency is improved, and the unmanned inspection of the belt conveyor is realized.

[0048] Among them, the collection layer filters and cleans the device state data and self-checking information, and uploads the data to the analysis layer; the analysis layer realizes data collection, analysis, storage and diagnosis functions, parses the received data according to the data processing configuration strategy, performs subsequent data processing and storage, and uploads the data to the application layer according to the format requirements; the application layer realizes device basic management, device early warning, diagnosis and information pushing. At the same time, compatible and extensible function modules are reserved and designed, and data can be called and read and written by the upper device management system in real time through the standard communication protocol interface of TCP / IP.

[0049] The present inspection system has wide application range, and is especially suitable for unmanned inspection of material conveying equipment such as belt conveyors. The intelligent level of the device state monitoring and diagnosis technology is improved, the load of the device management personnel is reduced, the labor efficiency is improved, and the normal and reliable operation of the material conveying equipment is ensured.

Claims

1. A belt conveyor unmanned inspection system, characterized in that: The system comprises an audio and video monitoring unit, a device state monitoring unit, a patrol robot, a data analysis unit and a device monitoring and diagnosis platform, the audio and video monitoring unit and the device state monitoring unit are connected to the data analysis unit through a communication link, the patrol robot is connected to the data analysis unit through a wireless AP or 4G network access communication link, and the data analysis unit is connected to the device monitoring and diagnosis platform through a network; The audio and video monitoring unit comprises network cameras, sound wave sensors and hard disk video recorders arranged at each driving measuring point of the belt conveyor, the network cameras are used for video monitoring, the sound wave sensors are used for sound collection, and video signals are stored in the hard disk video recorders; The device state monitoring unit comprises vibration sensors and temperature sensors arranged at rotating parts of the belt conveyor, and the bearing vibration and temperature of the rotating parts are monitored in real time; The patrol robot is hung on the belt conveying pipe gallery of the belt conveyor, and is provided with a video camera with an infrared auxiliary light source, an infrared thermal imager and a gas detection analyzer; The data analysis unit comprises a data acquisition management module, a data communication management module, a data storage management module and a device state comprehensive diagnosis module, the data acquisition management module performs overall control on received data, realizes the management and scheduling of external data uploading and data analysis through configuration; the data communication management module automatically analyzes different types of received data, merges the data to the corresponding designated measuring point of the belt conveyor according to the configuration, completes the automatic association between the measuring point and the data, performs various numerical calculations according to the configuration, and extracts various analysis required characteristic quantities; the data storage management module performs real-time storage, temporary storage and persistent storage management of data according to the data type; the device state comprehensive diagnosis module presets a general analysis model, comprehensively analyzes and diagnoses the state of the belt conveyor according to various state data, and triggers corresponding business processes according to different diagnosis conclusions; The device monitoring and diagnosis platform comprises a device tree configuration and basic information configuration module, a state centralized display module, an alarm event management module, a classification query and report statistical module and a user permission configuration module, the device tree configuration and basic information configuration module performs hierarchical management, attribute management, measuring point management, detection parameter management and device document management on the belt conveyor; the state centralized display module displays the monitored device state, quantity statistics and early warning information in real time; the alarm event management module provides setting alarm device attribution and statistical rules, forms the transmission, display, push and final evaluation process after alarm generation; the classification query and report statistical module provides report definition and query function; and the user permission configuration module performs user management and permission management.

2. The unmanned inspection system of the belt conveyor according to claim 1, characterized in that: The audio and video monitoring unit calls live video through visualization, carries out image recognition, monitors each driving point site of the belt conveyor, carries out time domain signal analysis and spectrum analysis on the audio signal, compares and analyzes the sound wave of normal working condition with the sound wave of abnormal working condition, alarms the information after filtering processing when the sound intensity exceeds the set decibel, records the time and position information of abnormal sound and displays and saves them.

3. The unmanned inspection system of the belt conveyor according to claim 1 or 2, characterized in that: The vibration sensor and temperature sensor of the device state monitoring unit are arranged at the motor, speed reducer and roller of the belt conveyor, and the monitoring data is transmitted through wired or wireless network. For variable speed equipment, wired network transmission is selected. For steady-state equipment and output speed greater than 120 rpm, wireless network transmission is selected. For key belts, wired network transmission is selected. For non-key belts, wireless network transmission is selected. For occasions without wired network / optical fiber, wireless network transmission is selected.

4. The belt conveyor unmanned inspection system according to claim 3, characterized in that: The vibration sensor and temperature sensor are integrated sensors, and the measuring points are arranged according to the following principles: One horizontal measuring point is arranged at the front and rear ends of the motor, and the integrated sensor is close to the bearing seat during installation. One horizontal measuring point is arranged at the load end of the small-size motor. The measuring point direction of the gear box is arranged horizontally, vertically and axially, and one measuring point is arranged at each bearing seat. One axial measuring point is arranged on both sides of the gear box, and they are staggered on the same shaft system. One horizontal measuring point is arranged at the bearing seat position on both sides of the roller. Due to the low speed of the roller cover, the vibration signal is used for trend judgment.

5. The unmanned inspection system of the belt conveyor according to claim 3, characterized in that: The device state monitoring unit sets threshold and deviation alarms for the vibration signal, alarms the information after filtering processing when the vibration signal exceeds the threshold, records the time and position information of abnormal occurrence, and displays and saves them. For vibration time domain signal, synchronous trigger acquisition or tour acquisition is adopted. The collected digital signal is preprocessed by removing wild points, filtering and noise reduction to eliminate interference, improve signal-to-noise ratio and data quality. The preprocessed digital signal is calculated for vibration speed, vibration acceleration, peak value, dimensionless value and impact quantity static characteristic quantity to realize trend early warning. At the same time, the vibration time domain signal waveform is operated by window function to perform accurate Fourier transform, extract frequency domain state and fault characteristic quantity index, and realize fault diagnosis. The temperature signal is set with threshold and deviation alarm, the information after filtering processing is alarmed when the temperature signal exceeds the threshold, the time and position information of abnormal occurrence are displayed and saved.

6. The unmanned inspection system of the belt conveyor according to claim 1, characterized in that: The video camera of the inspection robot monitors the appearance of the belt conveyor, the falling material and the dust emission. The video camera has dustproof protection and the uploaded video resolution is not less than 1080P. The video camera supports video playing, stopping, picture grabbing, recording and display functions. The infrared thermal imager collects the heat, concentrated smoke and open fire information in the belt conveyor. The infrared thermal imager has an automatic focusing function, a resolution of not less than 384*288, and an infrared image display image with the highest temperature point position and temperature value. The infrared image has imaging data, a measurement accuracy of 2% or 2℃ of the reading, an absolute value of the larger one, and a measurement range of not less than -20-200℃. The gas detection analyzer collects the oxygen content and the content of toxic and harmful gases in the surrounding air. The detection accuracy of the oxygen content is 0.1% volume fraction, the response time is not more than 30s, the detection accuracy of the content of toxic and harmful gases is 1% volume fraction, and the response time is not more than 20s.

7. The unmanned inspection system of the belt conveyor according to claim 1, characterized in that: The data temporary storage of the data storage management module in the data analysis unit stores the original analysis data for not more than one month according to professional needs. The real-time data for high-frequency use is stored in the redis real-time database according to data classification. The various diagnostic results, collected quantitative value associated data are stored in the Postgresql or Mysql relational database. The various collected state data are stored in the Hbase distributed database.

8. The unmanned inspection system of the belt conveyor according to claim 1, characterized in that: The user permission configuration module in the equipment monitoring and diagnosis platform includes basic management functions such as user addition, modification and deletion. The permission management includes defining user roles and allowing users to customize roles. The page browsing and operation permissions are set according to different roles.

9. The unmanned inspection system of the belt conveyor according to claim 1, characterized in that: The equipment monitoring and diagnosis platform further includes an interface function module. The interface function module reserves and designs a compatible and expandable communication interface. Data is called and read and written by the upper device management system through the compatible and expandable communication interface.

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