Intelligent inspection system for underground coal mine belt conveyor

Abstract

The invention relates to the technical field of coal mine underground belt conveyor inspection management, and discloses a coal mine underground belt conveyor intelligent inspection system which comprises a multi-dimensional monitoring module and an intelligent inspection module. According to the system, monitoring data and sensing data of all belt conveyors and sensing data of an underground coal mine environment are obtained through the multi-dimensional monitoring module and are classified to form a data set, and the intelligent inspection module analyzes the belt wear degree of each belt conveyor and generates a corresponding wear coefficient, so that excessive maintenance or delayed maintenance is avoided; the operation state of each belt conveyor is analyzed in real time, a corresponding monitoring data set is generated, manual judgment errors are reduced, the intelligent inspection module analyzes the gas quality of the underground coal mine environment, a corresponding quality coefficient is generated, the air quality is detected in real time, the multi-dimensional analysis precision is high, the belt abrasion degree and the operation state of the belt conveyor are evaluated, and the safety of the belt conveyor is improved. A grading response mechanism is established, differentiated measures are taken, and the dynamic inspection efficiency is high.

Description

Technical Field

[0001] The invention relates to the technical field of inspection and management of underground belt conveyors in coal mines, and in particular to an intelligent inspection system for underground belt conveyors in coal mines. Background Art

[0002] The underground belt conveyor in coal mines is mainly composed of conveyor belts, rollers, idlers, drive devices, tensioning devices, etc. As the main body of the coal, the conveyor belt must be made of high strength, wear resistance, tear resistance and other characteristics to adapt to the harsh underground environment and heavy transportation tasks. The rollers are divided into transmission rollers and redirection rollers. The former transmits power to drive the conveyor belt to run, and the latter changes the running direction of the conveyor belt. The idlers are responsible for supporting the conveyor belt, reducing running resistance, and preventing the conveyor belt from sagging excessively. The drive device is a power source, and the common combination of motor reducers provides stable and reliable power output for the belt conveyor. The tensioning device is used to adjust the tension of the conveyor belt to ensure that the conveyor belt runs under appropriate tension to avoid slipping or deviation.

[0003] The underground belt conveyor in coal mines undertakes the key task of coal transportation, ensuring the smooth transportation of coal from the mining face and providing strong support for the orderly connection of the entire production process. The conventional inspection method is first of all visual inspection. The inspectors check whether there are scratches, wear, tears, etc., especially at the joints. Once the problem is found, it will be recorded and arranged for treatment in time. For the drum and roller, pay attention to whether it rotates flexibly, whether there is abnormal sound or heating phenomenon. If there are problems such as looseness and stagnation, it is necessary to stop the machine for inspection immediately. At the same time, check the environmental sanitation around the belt conveyor, clean up scattered coal, gangue and other debris, and prevent their accumulation from affecting the operation of the equipment or being involved in the belt conveyor to cause failure. The second is the sound inspection. When the equipment is running, listen to the sound close to each key component. The normal operating sound should be smooth and regular. If there is abnormal noise, such as sharp friction sound, periodic knocking sound, etc., it often indicates that there are hidden dangers in the equipment and further investigation is required. The third is manual inspection, by touching the outer shell of the motor, reducer and other parts, feel whether the temperature is normal. Overheating may mean poor lubrication inside the equipment, overload operation or damaged parts, and the cause should be found and resolved in time. Regular inspections can detect potential problems with the equipment in advance, avoid interruptions in coal transportation due to sudden failures of the belt conveyor, and reduce production losses. Moreover, timely maintenance of the equipment can extend its service life and ensure the safety of underground workers.

[0004] At present, the traditional coal mine underground belt conveyor inspection system has different judgment standards for different equipment, and it is difficult to effectively identify and predict complex failure modes, which may lead to untimely warnings or misjudgments, thereby expanding the failure and affecting production progress. In addition, the underground environment is complex, there are major safety hazards in the inspection process, and the inspection efficiency is low. Summary of the invention

[0005] (1) Technical problems to be solved In view of the deficiencies of the prior art, the present invention provides an intelligent inspection system for belt conveyors in coal mines, which has the advantages of high precision in multi-dimensional analysis and high efficiency in dynamic inspection, and solves the problems that the traditional inspection system for belt conveyors in coal mines is difficult to effectively identify and predict complex fault modes, has great potential safety hazards, and has low inspection efficiency.

[0006] (2) Technical solutions To achieve the above object, the present invention provides the following technical solutions: an intelligent inspection system for belt conveyors in coal mines, comprising a multi-dimensional monitoring module and an intelligent inspection module; The multi-dimensional monitoring module is composed of a monitoring data unit, a sensing data unit and an environmental data unit. The monitoring data unit is connected to an infrared transmittance tester and a belt conveyor through a network to collect a monitoring data set. The sensing data unit is connected to a vibration sensor, a laser displacement sensor and an acoustic sensor through a network to collect a sensing data set. The environmental data unit is connected to a smoke sensor through a network to collect an environmental data set; The intelligent inspection module is composed of a wear evaluation unit, a real-time evaluation unit, an environmental evaluation unit and a dynamic management unit. The wear evaluation unit sets an inspection cycle with a fixed duration , and then combines the monitoring data set to analyze the belt wear degree of each belt conveyor and generate a corresponding wear coefficient . The real-time evaluation unit analyzes the running state of each belt conveyor in real time according to the sensing data set and generates a corresponding monitoring data group . The environmental evaluation unit analyzes the gas quality of the coal mine underground environment according to the environmental data set and generates a corresponding quality coefficient . The dynamic management unit sets a wear threshold interval with a fixed range and a quality threshold interval , and then combines the wear coefficient , the monitoring data group and the quality coefficient to evaluate the belt wear degree, running state of the belt conveyor, and gas quality of the coal mine underground environment, and output corresponding inspection suggestions.

[0007] Preferably, the expression of the monitoring data set is , to represent the monitoring data of the first to the th belt conveyors. The monitoring data includes belt transmittance, the number of belt cracks, the cumulative conveying times and the belt width, represents the time point for obtaining the monitoring data of the belt conveyor.

[0008] Preferably, the expression of the sensing data set is , to represent the sensing data of the first to the th belt conveyor. The sensing data includes the drum vibration frequency, drum vibration amplitude, belt deviation amount, drive device noise intensity, and drive device temperature. represents the time point when the sensing data of the belt conveyor is acquired.

[0009] Preferably, the environmental data set includes , represents the oxygen concentration in the coal mine underground environment, represents the methane concentration in the coal mine underground environment, represents the carbon monoxide concentration in the coal mine underground environment, represents the carbon dioxide concentration in the coal mine underground environment, represents the hydrogen sulfide concentration in the coal mine underground environment, represents the time point when the sensing data of the coal mine underground environment is acquired.

[0010] Preferably, the wear coefficient is calculated as follows: According to the monitoring data set, count the monitoring data of the th belt conveyor within the inspection cycle, and mark the belt light transmittance of the th belt conveyor as , , to represent the belt light transmittance from the first time point to the th time point. Mark the number of belt cracks of the th belt conveyor as , to represent the number of belt cracks from the first time point to the th time point. At the end of the inspection cycle , mark the cumulative conveying times of the th belt conveyor as , and mark the belt width of the th belt conveyor as ; ; ; ; In the formula, represents the average value of the belt light transmittance of the th belt conveyor within the inspection cycle represents the average value of the belt light transmittance of the th belt conveyor within the inspection cycle within the inspection cycle, and The sum of the number of cracks in the belt of the belt conveyor represents the standard value for measuring the light transmittance of the belt represents the weight for the ratio of the average light transmittance of the belt to the standard value represents the weight for the total number of cracks in the belt represents the weight for the cumulative number of conveying times represents the standard value for measuring the width of the belt represents the weight for the ratio of the standard value to the width of the belt 、 、 and are all constants, and , represents according to 、 、 and weights, the wear coefficient of the th belt conveyor is calculated 。

[0011] Preferably, the monitoring data set The calculation process is as follows: According to the sensor data set, extract the sensor data of the th belt conveyor, and mark the vibration frequency of the th belt conveyor drum as , mark the vibration amplitude of the th belt conveyor drum as , mark the belt deviation of the th belt conveyor as , mark the noise intensity of the th belt conveyor drive device as , mark the temperature of the th belt conveyor drive device as ; ; In the formula, represents the standard value for measuring the vibration frequency of the drum represents the difference between the standard value and the vibration frequency of the drum represents the standard value for measuring the vibration amplitude of the drum represents the difference between the standard value and the vibration amplitude of the drum represents 5% of the width of the belt of the th belt conveyor, which is the tolerance amount represents the difference between the tolerance amount and the belt deviation represents the standard value for measuring the noise intensity of the drive device Represents the difference between the standard value and the noise intensity of the drive device. Represents the standard value for measuring the temperature of the drive device. Represents the difference between the standard value and the temperature of the drive device. Represents the monitoring data set of the

[0012] Preferably, the quality coefficient is calculated as follows: ; In the formula, represents the standard value for measuring the oxygen concentration. represents the weight for the ratio of the oxygen concentration to the standard value. represents the standard value for measuring the methane concentration. represents the weight for the ratio of the standard value to the methane concentration. represents the standard value for measuring the carbon monoxide concentration. represents the weight for the ratio of the standard value to the carbon monoxide concentration. represents the standard value for measuring the carbon dioxide concentration. represents the weight for the ratio of the standard value to the carbon dioxide concentration. represents the standard value for measuring the hydrogen sulfide concentration. represents the weight for the ratio of the standard value to the hydrogen sulfide concentration. , , , and are all constants, and , represents the quality coefficient of the underground coal mine environment calculated according to the , , , and weights.

[0013] Preferably, when the wear coefficient is lower than the wear threshold interval , it indicates that the wear degree of the belt of the belt conveyor is light, and the uniform conveying should be maintained, and the inspection cycle should be set to 3 hours. When the wear coefficient is included in the wear threshold interval , it indicates that the wear degree of the belt of the belt conveyor is medium, and the conveying speed should be reduced by 10%, and the inspection cycle should be set to 1 hour. When the wear coefficient exceeds the wear threshold interval , it indicates that the wear degree of the belt of the belt conveyor is severe, and the belt should be replaced in time.

[0014] Preferably, in the monitoring data group when any one of the values is negative, it indicates that the belt conveyor is in an abnormal state, and the conveying should be stopped immediately and the operation failure should be repaired.

[0015] Preferably, the quality coefficient is lower than the quality threshold range which indicates that the gas quality in the coal mine underground environment is poor, and the conveying should be stopped immediately and the ventilation device should be turned on.

[0016] Compared with the prior art, the present invention provides an intelligent inspection system for belt conveyors in coal mines underground, which has the following beneficial effects: 1. The present invention connects an infrared transmittance tester, a belt conveyor, a vibration sensor, a laser displacement sensor, an acoustic sensor and a smoke sensor through a multi-dimensional monitoring module network to obtain all the monitoring data of the belt conveyor, the sensing data and the sensing data of the coal mine underground environment, and classifies and forms a monitoring data set, a sensing data set and an environment data set. The intelligent inspection module sets a fixed-duration inspection cycle , and then combines with the monitoring data set to analyze the belt wear degree of each belt conveyor and generate a corresponding wear coefficient , comprehensively quantifying the wear degree, avoiding over-maintenance or delayed maintenance. The weight configuration can be flexibly adjusted according to the actual working conditions, and it can adapt to various types of belt conveyors, optimizing the evaluation accuracy. The intelligent inspection module analyzes the running state of each belt conveyor in real time according to the sensing data set and generates a corresponding monitoring data group , reducing the human judgment error and improving the operation and maintenance efficiency. The intelligent inspection module analyzes the gas quality in the coal mine underground environment according to the environment data set and generates a corresponding quality coefficient , detecting the air quality in real time, improving the running safety of the belt conveyor, reducing the accident risk, and having high multi-dimensional analysis accuracy.

[0017] 2. The present invention sets a fixed-range wear threshold range and a quality threshold range through the intelligent inspection module, and then combines with the wear coefficient , the monitoring data group and the quality coefficient to evaluate the belt wear degree, the running state of the belt conveyor, and the gas quality in the coal mine underground environment, establish a hierarchical response mechanism, take differential measures, maintain production to the greatest extent under the premise of ensuring safety, automatically trigger the shutdown and maintenance mechanism, avoid the expansion of equipment failures or the occurrence of safety accidents, realize the comprehensive monitoring and precise management of the running state of the underground belt conveyor, significantly improve the safety, operation and maintenance efficiency and production efficiency, and have high dynamic inspection efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 This is the system flowchart of the present invention. Specific embodiments

[0019] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0020] Since the traditional belt conveyor inspection system in coal mines has different judgment criteria for different devices and is difficult to effectively identify and predict complex fault modes, which may lead to untimely warnings or misjudgments, further expanding the faults and affecting the production progress. In addition, the underground environment is complex, there are significant safety hazards in the inspection process, and the inspection efficiency is low. Therefore, an intelligent inspection system for belt conveyors in coal mines is provided. Please refer to Figure 1 An intelligent inspection system for belt conveyors in coal mines includes a multi-dimensional monitoring module and an intelligent inspection module; The multi-dimensional monitoring module consists of a monitoring data unit, a sensing data unit, and an environmental data unit. The monitoring data unit collects a monitoring data set by connecting an infrared transmittance tester and a belt conveyor through a network. The monitoring data set includes the monitoring data of all belt conveyors. The expression of the monitoring data set is , to represents the monitoring data of the first to the th belt conveyor. The monitoring data includes belt transmittance, the number of belt cracks, the cumulative conveying times, and the belt width. represents the time point for obtaining the monitoring data of the belt conveyor. The infrared transmittance tester emits infrared rays through the belt, and the belt transmittance can be obtained through the intensity of the infrared rays after passing through the belt, enabling timely detection of belt quality problems and adjustment. The sensing data unit collects a sensing data set by connecting a vibration sensor, a laser displacement sensor, and an acoustic sensor through a network. The sensing data set includes the sensing data of all belt conveyors. The expression of the sensing data set is , to represents the sensing data of the first to the th belt conveyor. The sensing data includes the drum vibration frequency, the drum vibration amplitude, the belt deviation amount, the noise intensity of the drive device, and the temperature of the drive device. represents the time point for obtaining the sensing data of the belt conveyor, replacing the traditional manual inspection and reducing the manpower input in the high-risk underground environment; The environmental data unit collects an environmental data set through a network connection to a smoke sensor. The environmental data set includes sensing data of the underground coal mine environment. The environmental data set includes , representing the oxygen concentration in the underground coal mine environment, representing the methane concentration in the underground coal mine environment, representing the carbon monoxide concentration in the underground coal mine environment, representing the carbon dioxide concentration in the underground coal mine environment, representing the hydrogen sulfide concentration in the underground coal mine environment, representing the time point when the sensing data of the underground coal mine environment is obtained; The intelligent inspection module consists of a wear assessment unit, a real-time assessment unit, an environmental assessment unit, and a dynamic management unit. The wear assessment unit sets an inspection cycle of a fixed duration , and then combines the monitoring data set to analyze the belt wear degree of each belt conveyor and generate a corresponding wear coefficient , and its calculation process is as follows: According to the monitoring data set, count the monitoring data of the th belt conveyor within the inspection cycle , and mark the belt light transmittance of the th belt conveyor as , to represent the belt light transmittance from the first time point to the th time point. Mark the number of belt cracks of the th belt conveyor as , to represent the number of belt cracks from the first time point to the th time point. At the end of the inspection cycle , mark the cumulative conveying times of the th belt conveyor as , and mark the belt width of the th belt conveyor as ; ; ; ; In the formula, represents the average value of the belt light transmittance of the th belt conveyor within the inspection cycle , represents the sum of the number of belt cracks of the th belt conveyor within the inspection cycle , Indicates the standard value used to measure the light transmittance of the belt. Indicates the weight of the ratio of the average light transmittance of the belt to the standard value. represents the weight for the total number of belt cracks, Represents the weight for the cumulative number of deliveries, Indicates the standard value used to measure belt width. Indicates the weight for the ratio of the standard value to the belt width, , , and are constants, and , Indicates according to , , and Weight, calculate the Wear coefficient of belt conveyor , fully quantify the degree of wear and tear to avoid excessive or delayed maintenance. The weight configuration can be flexibly adjusted according to the actual working conditions, and can be adapted to various types of belt conveyors to optimize the evaluation accuracy; The real-time evaluation unit analyzes the operating status of each belt conveyor in real time based on the sensor data set and generates a corresponding monitoring data set. , the calculation process is as follows: According to the sensor data set, extract the The sensor data of the belt conveyor is The vibration frequency of the belt conveyor roller is marked as , will The vibration amplitude of the belt conveyor roller is marked as , will The belt deviation of each belt conveyor is marked as , will The noise level of a belt drive is denoted by , will The temperature of the belt drive is marked as ; ; In the formula, Indicates the standard value used to measure the vibration frequency of the drum. Indicates the difference between the standard value and the drum vibration frequency. Indicates the standard value used to measure the vibration amplitude of the drum. Indicates the difference between the standard value and the drum vibration amplitude. Indicates 5% of the belt width of the belt conveyor is the tolerance. Indicates the difference between the tolerance and the belt deviation. Represents the standard value for measuring the noise intensity of the drive device, Represents the difference between the standard value and the noise intensity of the drive device, Represents the standard value for measuring the temperature of the drive device, Represents the difference between the standard value and the temperature of the drive device, Represents the monitoring data group of the nth belt conveyor, which helps to automatically generate maintenance suggestions, reduce human judgment errors, and improve operation and maintenance efficiency; The environmental assessment unit analyzes the gas quality of the underground coal mine environment based on the environmental data set and generates the corresponding quality coefficient , and its calculation process is as follows: ; In the formula, represents the standard value for measuring the oxygen concentration, with the unit of measurement being %, represents the weight for the ratio of the oxygen concentration to the standard value, represents the standard value for measuring the methane concentration, with the unit of measurement being %, represents the weight for the ratio of the standard value to the methane concentration, represents the standard value for measuring the carbon monoxide concentration, with the unit of measurement being %, represents the weight for the ratio of the standard value to the carbon monoxide concentration, represents the standard value for measuring the carbon dioxide concentration, with the unit of measurement being %, represents the weight for the ratio of the standard value to the carbon dioxide concentration, represents the standard value for measuring the hydrogen sulfide concentration, with the unit of measurement being %, represents the weight for the ratio of the standard value to the hydrogen sulfide concentration, 、 、 、 and are all constants, and , represents calculated according to the 、 、 、 and weights, the quality coefficient of the underground coal mine environment, real-time detection of air quality, improving the operation safety of the belt conveyor, reducing accident risks, and high accuracy in multi-dimensional analysis; The dynamic management unit sets a fixed range of wear threshold intervals and quality threshold intervals , and then combines the wear coefficient 、monitoring data group and quality coefficient , evaluate the wear degree and operating status of the belt conveyor belt, as well as the gas quality of the underground coal mine environment, and output corresponding inspection suggestions to achieve a rapid response to abnormal conditions; Wear coefficient Below the wear threshold range When it indicates that the wear degree of the belt conveyor belt is light, the belt should be kept running at a constant speed, and the inspection cycle Should be set to 3 hours, and the wear coefficient Is included in the wear threshold range When it indicates that the wear degree of the belt conveyor belt is medium, the conveying speed should be reduced by 10%, the maintenance strategy should be optimized to reduce further wear, effectively extending the service life of the equipment, and the inspection cycle Should be set to 1 hour, and the wear coefficient Exceeds the wear threshold range When it indicates that the wear degree of the belt conveyor belt is severe, the belt should be replaced in time, a hierarchical response mechanism should be established, and differential measures should be taken to maintain production to the greatest extent under the premise of ensuring safety; Monitoring data set In, when any one of the values is negative, it indicates that the belt conveyor is in an abnormal state, and the conveying should be stopped immediately and the operation fault should be repaired, automatically triggering the shutdown and repair mechanism to avoid the expansion of equipment faults or the occurrence of safety accidents; Quality coefficient Below the quality threshold range When it indicates that the gas quality of the underground coal mine environment is poor, the conveying should be stopped immediately and the ventilation device should be turned on to detect potential faults in advance, make intelligent decisions in time, achieve comprehensive monitoring and precise management of the operating status of the underground belt conveyor, significantly improve safety, operation and maintenance efficiency, and production efficiency, and have a high dynamic inspection efficiency.

[0021] Example 1: In this experiment, a belt conveyor with a standard light transmittance value of 90% was selected as the experimental object. The belt conveyor was divided into 5 sections, and each section of the belt was detected every hour. After detection, within 5 hours, the light transmittance values of the 5 sections of the belt were 50%, 70%, 60%, 80% and 70% respectively, the number of cracks in the 5 sections of the belt were 4, 2, 3, 1 and 2 respectively, the cumulative conveying times of the belt conveyor were 50 times, and the belt width was 1.2 meters. The wear coefficient of this belt conveyor The calculation process is as follows: ; ; ; ; In the formula, Represents the average value of the light transmittance of the belt conveyor belt within 5 hours, Represents the total number of belt cracks within 5 hours, Represents the standard value for measuring the light transmittance of the belt, Represents the weight for the ratio of the average light transmittance of the belt to the standard value, Represents the weight for the total number of belt cracks, Represents the weight for the cumulative number of conveying times, Represents the standard value for measuring the belt width, Represents the weight for the ratio of the standard value to the belt width, 、 、 and are all constants, and , according to 、 、 and weights, calculate the wear coefficient of the belt conveyor is , the wear threshold interval is set to 8 - 15. After judgment, the wear coefficient of the belt conveyor is included in the wear threshold interval , indicating that the wear degree of the belt conveyor belt is medium, the conveying speed should be reduced by 10%, and the inspection cycle should be set to 1 hour.

[0022] Example 2: In this experiment, a belt conveyor with a belt width of 1000 mm is selected as the experimental object. After detection, the vibration frequency of the roller of the belt conveyor is 95 Hz, the vibration amplitude of the roller is 3 mm, the belt deviation amount is 40 mm, the noise intensity of the driving device is 85 dB, and the temperature of the driving device is 65 °C. The monitoring data set of the belt conveyor The calculation process is as follows: ; In the formula, Represents the standard value for measuring the vibration frequency of the roller, Represents the difference between the standard value and the vibration frequency of the roller, Represents the standard value for measuring the vibration amplitude of the roller, Represents the difference between the standard value and the vibration amplitude of the roller, Represents 5% of the belt width of the belt conveyor, which is the tolerance amount, Represents the difference between the tolerance amount and the belt deviation amount, Represents the standard value for measuring the noise intensity of the driving device, Represents the difference between the standard value and the noise intensity of the driving device, Represents the standard value for measuring the temperature of the driving device, Indicates the difference between the standard value and the temperature of the driving device. After judgment, in the monitoring data set Among them, the vibration amplitude difference, the deviation amount difference, the noise intensity difference and the temperature difference are all negative values, indicating that the belt conveyor is in an abnormal state, and the conveying should be stopped immediately and the operation fault should be repaired.

[0023] Although the embodiments of the present invention have been shown and described, those of ordinary skill in the art can understand that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principle and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An intelligent inspection system for belt conveyors in coal mines, characterized in that: It includes a multi-dimensional monitoring module and an intelligent inspection module; The multi-dimensional monitoring module is composed of a monitoring data unit, a sensing data unit, and an environmental data unit. The monitoring data unit collects a monitoring data set by connecting an infrared transmittance tester and a belt conveyor through a network. The sensing data unit collects a sensing data set by connecting a vibration sensor, a laser displacement sensor, and an acoustic sensor through a network. The environmental data unit collects an environmental data set by connecting a smoke sensor through a network; The intelligent inspection module consists of a wear assessment unit, a real-time assessment unit, an environmental assessment unit, and a dynamic management unit. The wear assessment unit sets an inspection cycle with a fixed duration. Combined with the monitoring data set, it analyzes the belt wear degree of each belt conveyor and generates a corresponding wear coefficient. The real-time assessment unit analyzes the operating status of each belt conveyor in real time according to the sensing data set and generates a corresponding monitoring data group. The environmental assessment unit analyzes the gas quality of the underground coal mine environment according to the environmental data set and generates a corresponding quality coefficient. The dynamic management unit sets a wear threshold interval within a fixed range. And a quality threshold interval. Combined with the wear coefficient. The monitoring data group. And the quality coefficient. It evaluates the belt wear degree, operating status of the belt conveyor, and the gas quality of the underground coal mine environment, and outputs corresponding inspection suggestions.

2. The intelligent inspection system for belt conveyors in coal mines according to claim 1, characterized in that: The expression of the monitored data set is , to represent the monitored data of the first to the th belt conveyor. The monitored data includes belt light transmittance, the number of belt cracks, the cumulative conveying times, and the belt width, represents the time point for obtaining the monitored data of the belt conveyor.

3. The intelligent inspection system for belt conveyors in coal mines according to claim 2, characterized in that: The expression of the said sensing data set is , to represent the sensing data of the first to the th belt conveyors. The sensing data includes the drum vibration frequency, the drum vibration amplitude, the belt deviation amount, the noise intensity of the driving device, and the temperature of the driving device. represents the time point for acquiring the sensing data of the belt conveyor.

4. An intelligent inspection system for belt conveyors in coal mines according to claim 3, characterized in that: The environmental data set includes , representing the oxygen concentration in the underground coal mine environment, representing the methane concentration in the underground coal mine environment, representing the carbon monoxide concentration in the underground coal mine environment, representing the carbon dioxide concentration in the underground coal mine environment, representing the hydrogen sulfide concentration in the underground coal mine environment, representing the time point for obtaining the sensing data of the underground coal mine environment.

5. An intelligent inspection system for belt conveyors in coal mines according to claim 4, characterized in that: The wear coefficient The calculation process is as follows: According to the monitoring data set, count the inspection cycle within, the th belt conveyor's monitoring data, and mark the light transmittance of the belt of the th belt conveyor as , to represent the light transmittance of the belt from the first time point to the th time point. Mark the number of belt cracks of the th belt conveyor as , to represent the number of belt cracks from the first time point to the th time point. At the end of the inspection cycle , mark the cumulative conveying times of the th belt conveyor as , and mark the belt width of the th belt conveyor as ; ； ； ； In the formula, represents the inspection cycle within which, the average value of the light transmittance of the belt of the th belt conveyor, and the total number of cracks in the belt of the th belt conveyor within the inspection cycle represents the standard value used to measure the light transmittance of the belt, represents the weight for the ratio of the average value of the light transmittance of the belt to the standard value, represents the weight for the total number of cracks in the belt, represents the weight for the ratio of the standard value to the width of the belt, , , and are all constants, and , represents the wear coefficient of the th belt conveyor calculated according to the weights of , , and . .

6. The intelligent inspection system for belt conveyors in coal mines according to claim 5, characterized in that: The monitored data group The calculation process is as follows: Extract the sensing data of the th belt conveyor according to the sensing data set, and mark the vibration frequency of the th belt conveyor roller as , mark the vibration amplitude of the th belt conveyor roller as , mark the belt deviation amount of the th belt conveyor as , mark the noise intensity of the th belt conveyor drive device as , mark the temperature of the th belt conveyor drive device as ; ； In the formula, represents the standard value for measuring the vibration frequency of the drum, represents the difference between the standard value and the vibration frequency of the drum, represents the standard value for measuring the vibration amplitude of the drum, represents the difference between the standard value and the vibration amplitude of the drum, represents the 5% of the width of the belt of the th belt conveyor, which is the tolerance amount, represents the difference between the tolerance amount and the belt deviation amount, represents the standard value for measuring the noise intensity of the drive device, represents the difference between the standard value and the noise intensity of the drive device, represents the standard value for measuring the temperature of the drive device, represents the difference between the standard value and the temperature of the drive device, represents the monitoring data set of the th belt conveyor.

7. An intelligent inspection system for belt conveyors in coal mines according to claim 6, characterized in that: The quality coefficient The calculation process is as follows: ； In the formula, represents the standard value for measuring the oxygen concentration, represents the weight for the ratio of the oxygen concentration to the standard value, represents the standard value for measuring the methane concentration, represents the weight for the ratio of the standard value to the methane concentration, represents the standard value for measuring the carbon monoxide concentration, represents the weight for the ratio of the standard value to the carbon monoxide concentration, represents the standard value for measuring the carbon dioxide concentration, represents the weight for the ratio of the standard value to the carbon dioxide concentration, represents the standard value for measuring the hydrogen sulfide concentration, represents the weight for the ratio of the standard value to the hydrogen sulfide concentration, , , , and are all constants, and , represents that according to , , , and weights, the quality coefficient of the underground coal mine environment is calculated.

8. An intelligent inspection system for belt conveyors in coal mines according to claim 7, characterized in that: The wear coefficient is lower than the wear threshold range , indicating that the wear degree of the belt of the belt conveyor is light. The uniform conveying should be maintained, and the inspection cycle should be set to 3 hours. The wear coefficient is included in the wear threshold range , indicating that the wear degree of the belt of the belt conveyor is medium. The conveying speed should be reduced by 10%, and the inspection cycle should be set to 1 hour. The wear coefficient exceeds the wear threshold range , indicating that the wear degree of the belt of the belt conveyor is serious, and the belt should be replaced in time.

9. An intelligent inspection system for belt conveyors in coal mines according to claim 8, characterized in that: The monitored data set When any of the values is negative, it indicates that the belt conveyor is in an abnormal state, and the conveying should be stopped immediately and the operation failure should be repaired.

10. The intelligent inspection system for belt conveyors in coal mines according to claim 9, characterized in that: The quality coefficient below the quality threshold range indicates that the gas quality in the underground coal mine environment is poor, and the conveying should be stopped immediately and the ventilation device should be turned on.

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