Fault detection methods, devices, and electronic equipment for coal mine conveyor belts

Abstract

This application provides a fault detection method, apparatus, and electronic equipment for a coal mine conveyor belt. The method includes: first, acquiring the material drop value and output value of the coal mine conveyor belt at multiple detection time points; then, forming a drop set by the difference between the material drop value and output value corresponding to each detection time point, calculating the variance of each element in the drop set to obtain a drop coefficient, and determining whether the drop coefficient is less than a drop threshold; then, if the drop coefficient is less than the drop threshold, determining that the coal mine conveyor belt is not faulty; finally, if the drop coefficient is not less than the drop threshold, acquiring the transport value of the coal mine conveyor belt at the current detection time point, and determining whether the coal mine conveyor belt is faulty based at least on whether the transport value is within a first predetermined range; if the transport value is within the first predetermined range, determining that the coal mine conveyor belt is not faulty; if the transport value is not within the first predetermined range, determining that the coal mine conveyor belt is faulty.

Description

Technical Field

[0001] This application relates to the field of fault detection technology, and more specifically, to a fault detection method, a fault detection device, a computer-readable storage medium, and an electronic device for a coal mine conveyor belt. Background Technology

[0002] Belt conveyors are the main equipment in the coal transportation process. After coal mining, the coal is transported to the outside of the mine using belt conveyors. A belt conveyor is a type of conveyor belt that uses the continuous or intermittent movement of a conveyor belt to transport various items of different weights. It provides smooth transport, has a simple structure, and is widely used. The main components of a belt conveyor include a frame, idler supports, and a belt. Idler rollers are installed on the idler supports to support the belt, reduce travel resistance, and ensure smooth belt operation.

[0003] Therefore, it is very important to detect abnormalities in the operation of the conveyor belt in a timely manner. Summary of the Invention

[0004] The main objective of this application is to provide a fault detection method, a fault detection device, a computer-readable storage medium, and an electronic device for coal mine conveyor belts, so as to at least solve the problem of untimely feedback on abnormalities in coal mine conveyor belts in the prior art.

[0005] To achieve the above objectives, according to one aspect of this application, a fault detection method for a coal mine conveyor belt is provided, comprising: acquiring the material drop value and the material discharge value of the coal mine conveyor belt at multiple detection time points, wherein the material drop value is the weight of coal transported to the coal mine conveyor belt by a material drop device during the time period from the start of operation of the coal mine conveyor belt to the corresponding detection time point, and the material discharge value is the weight of coal transported to a coal preparation machine by the coal mine conveyor belt during the time period, wherein the time interval between any two adjacent detection time points is the same; forming a drop set by the difference between the material drop value and the material discharge value corresponding to each detection time point, and calculating the variance of each element in the drop set to obtain the drop coefficient. The system counts the number of coal conveyors and determines whether the drop coefficient is less than a drop threshold. If the drop coefficient is less than the drop threshold, the system determines that the coal mine conveyor belt is not faulty. If the drop coefficient is not less than the drop threshold, the system obtains the transport value of the coal mine conveyor belt at the current detection time point, and determines whether the coal mine conveyor belt is faulty based at least on whether the transport value is within a first predetermined range. If the transport value is within the first predetermined range, the system determines that the coal mine conveyor belt is not faulty. If the transport value is not within the first predetermined range, the system determines that the coal mine conveyor belt is faulty. The transport value is the weight of the coal transported by the coal mine conveyor belt.

[0006] Optionally, after determining that the coal mine conveyor belt has a fault when the transport value is not within the first predetermined range, the method further includes: determining the fault type corresponding to the fault based on the relationship between the transport value and the maximum value and the minimum value of the first predetermined range, and saving the fault information corresponding to the fault, wherein the fault information includes at least the fault type.

[0007] Optionally, the fault type corresponding to the fault is determined based on the relationship between the transport value and the maximum value and the minimum value of the first predetermined range, including: when the transport value is not greater than the minimum value of the first predetermined range, the fault type is determined to be a belt misalignment fault, wherein the belt misalignment fault is used to characterize that the material dropping equipment cannot drop the coal onto the central axis of the coal mine conveyor belt.

[0008] Optionally, the fault type corresponding to the fault is determined based on the relationship between the transport value and the maximum value and the minimum value of the first predetermined range, including: when the transport value is not less than the maximum value of the first predetermined range, obtaining the average rotational speed of the idler roller of the coal mine conveyor during the time interval between the current detection time point and the previous detection time point, obtaining the rotational speed value, and determining whether the rotational speed value is greater than a rotational speed threshold; when the rotational speed value is not greater than the rotational speed threshold, determining the fault type as a drive fault, which is used to characterize that the driving force of the idler roller of the coal mine conveyor is too small; when the rotational speed value is greater than the rotational speed threshold, determining the fault type as a slippage fault, which is used to characterize that the driving force of the idler roller of the coal mine conveyor is too large.

[0009] Optionally, before determining whether the coal mine conveyor belt is faulty based at least on whether the transport value is within a first predetermined range, the method further includes: acquiring an alarm value, the alarm value being used to characterize the number of all the fault information; and, if the alarm value is not less than the first predetermined value, sequentially performing fault detection on the corresponding fault types according to the order of the number of fault information corresponding to different fault types from largest to smallest.

[0010] Optionally, after determining whether the coal mine conveyor belt has the fault based at least on whether the transport value is within a first predetermined range, and determining the corresponding fault type if the fault exists, the method further includes: obtaining a cumulative length value when the alarm value is not less than a second predetermined value, the cumulative length value being used to characterize the cumulative usage time of the coal mine conveyor belt; and determining the fault characteristics of the coal mine conveyor belt based on whether the cumulative length value is within a second predetermined range, the fault characteristics including factory faults, maintenance faults, and aging faults.

[0011] Optionally, determining the fault characteristics of the coal mine conveyor belt based on whether the cumulative length value is within a second predetermined range includes: determining the fault characteristic as a maintenance fault when the cumulative length value is within the second predetermined range; determining the fault characteristic as a factory fault when the cumulative length value is less than the minimum value of the second predetermined range; and determining the fault characteristic as an aging fault when the cumulative length value is greater than the maximum value of the second predetermined range.

[0012] According to another aspect of this application, a fault detection device for a coal mine conveyor belt is provided, comprising a first acquisition unit, a calculation unit, a first determination unit, and a second determination unit. The first acquisition unit is used to acquire the material drop value and material discharge value of the coal mine conveyor belt at multiple detection time points. The material drop value is the weight of coal transported to the conveyor belt by the material drop device during the time period from the start of operation to the corresponding detection time point. The material discharge value is the weight of coal transported to the coal preparation machine by the conveyor belt during the time period. The time interval between any two adjacent detection time points is the same. The calculation unit is used to form a drop difference set by the difference between the material drop value and the material discharge value corresponding to each detection time point, and to perform a calculation on each element in the drop difference set. The difference is calculated to obtain the drop coefficient, and it is determined whether the drop coefficient is less than the drop threshold; the first determining unit is used to determine that the coal mine conveyor belt does not have a fault if the drop coefficient is less than the drop threshold; the second determining unit is used to obtain the transport value of the coal mine conveyor belt at the current detection time point if the drop coefficient is not less than the drop threshold, and determine whether the coal mine conveyor belt has the fault based at least on whether the transport value is within a first predetermined range. If the transport value is within the first predetermined range, it is determined that the coal mine conveyor belt does not have the fault. If the transport value is not within the first predetermined range, it is determined that the coal mine conveyor belt has the fault. The transport value is the weight of coal transported by the coal mine conveyor belt.

[0013] According to another aspect of this application, a computer-readable storage medium is provided, the computer-readable storage medium including a stored program, wherein, when the program is executed, it controls the device where the computer-readable storage medium is located to perform any of the fault detection methods for coal mine conveyor belts described above.

[0014] According to another aspect of this application, an electronic device is provided, comprising: one or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs including methods for performing fault detection of any of the coal mine conveyor belts described above.

[0015] Applying the technical solution of this application, in the fault detection method for the coal mine conveyor belt, firstly, the material drop value and output value of the coal mine conveyor belt at multiple detection time points are obtained. The material drop value is the weight of coal transported to the coal mine conveyor belt by the material drop device during the time period from the start of operation of the coal mine conveyor belt to the corresponding detection time point. The output value is the weight of coal transported to the coal preparation machine by the coal mine conveyor belt during the time period. The time interval between any two adjacent detection time points is the same. Then, the difference between the material drop value and the output value corresponding to each detection time point is used to form a drop set. The variance of each element in the drop set is calculated to obtain the drop coefficient, and the coefficient is determined. The system checks whether the drop coefficient is less than a drop threshold; then, if the drop coefficient is less than the drop threshold, it determines that the coal mine conveyor belt is not faulty; finally, if the drop coefficient is not less than the drop threshold, it obtains the transport value of the coal mine conveyor belt at the current detection time point, and determines whether the coal mine conveyor belt is faulty based at least on whether the transport value is within a first predetermined range. If the transport value is within the first predetermined range, it determines that the coal mine conveyor belt is not faulty; if the transport value is not within the first predetermined range, it determines that the coal mine conveyor belt is faulty. The transport value is the weight of coal transported by the coal mine conveyor belt. This method calculates the difference between the drop value and the output value measured at multiple detection time points with the same time interval. The variance of the multiple differences is the drop coefficient. Based on whether the drop coefficient is within the drop threshold range and whether the transport value of the coal mine conveyor belt at the current detection time point is within the first predetermined range, it can be determined whether the coal transported by the coal mine conveyor belt at the current detection time point and in multiple time periods before the current detection time point is stable. This allows for timely judgment of whether there is a fault in the coal mine conveyor belt, thus solving the problem of untimely feedback on abnormalities of coal mine conveyor belts in the prior art. Attached Figure Description

[0016] The accompanying drawings, which form part of this application, are used to provide a further understanding of this application. The illustrative embodiments and descriptions of this application are used to explain this application and do not constitute an undue limitation of this application. In the drawings:

[0017] Figure 1 A hardware structure block diagram of a mobile terminal for performing a fault detection method for a coal mine conveyor belt is shown in an embodiment of this application.

[0018] Figure 2 A schematic diagram of a fault detection system for a coal mine conveyor belt according to an embodiment of this application is shown.

[0019] Figure 3A schematic flowchart of a fault detection method for a coal mine conveyor belt according to an embodiment of this application is shown.

[0020] Figure 4 A structural block diagram of a fault detection device for a coal mine conveyor belt provided according to an embodiment of this application is shown.

[0021] The above figures include the following reference numerals:

[0022] 102. Processor; 104. Memory; 106. Transmission equipment; 108. Input / output device; 201. Security alarm platform; 202. Data acquisition module; 203. Conveying detection module; 204. Feature analysis module; 205. Alarm module; 206. Storage module. Detailed Implementation

[0023] It should be noted that, unless otherwise specified, the embodiments and features described in this application can be combined with each other. This application will now be described in detail with reference to the accompanying drawings and embodiments.

[0024] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort should fall within the scope of protection of the present application.

[0025] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate for the embodiments of this application described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0026] As described in the background section, the existing technology does not provide timely feedback on abnormalities in coal mine conveyor belts. To solve the above problems, embodiments of this application provide a fault detection method, a fault detection device, a computer-readable storage medium, and an electronic device for coal mine conveyor belts.

[0027] In practical applications, the main components of a coal mine belt conveyor include the frame, idler support brackets, and belt. Idler rollers are installed on the idler support brackets. The idler rollers are used to support the belt, reduce travel resistance, and ensure smooth belt operation.

[0028] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention.

[0029] The methods and embodiments provided in this application can be executed on a mobile terminal, computer terminal, or similar computing device. Taking running on a mobile terminal as an example, Figure 1 This is a hardware structure block diagram of a mobile terminal for a fault detection method for a coal mine conveyor belt according to an embodiment of the present invention. Figure 1 As shown, a mobile terminal may include one or more ( Figure 1 Only one is shown in the diagram. A processor 102 (which may include, but is not limited to, a microprocessor MCU or a programmable logic device FPGA, etc.) and a memory 104 for storing data are also shown. The mobile terminal may further include a transmission device 106 for communication functions and an input / output device 108. Those skilled in the art will understand that... Figure 1 The structure shown is for illustrative purposes only and does not limit the structure of the mobile terminal described above. For example, the mobile terminal may also include components that are more... Figure 1 The more or fewer components shown, or having the same Figure 1 The different configurations shown.

[0030] The memory 104 can be used to store computer programs, such as application software programs and modules, like the computer program corresponding to the device information display method in this embodiment of the invention. The processor 102 executes various functional applications and data processing by running the computer program stored in the memory 104, thereby implementing the above-described method. The memory 104 may include high-speed random access memory and non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory 104 may further include memory remotely located relative to the processor 102, and these remote memories can be connected to the mobile terminal via a network. Examples of the aforementioned networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof. The transmission device 106 is used to receive or send data via a network. Specific examples of the aforementioned networks may include wireless networks provided by the mobile terminal's communication provider. In one example, the transmission device 106 includes a network interface controller (NIC), which can be connected to other network devices via a base station to communicate with the Internet. In one example, the transmission device 106 may be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.

[0031] This embodiment provides a fault detection method for a coal mine conveyor belt that runs on a mobile terminal, computer terminal, or similar computing device. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0032] In practical applications, the fault detection method for coal mine conveyor belts according to the embodiments of this application can be applied to a fault detection system for coal mine conveyor belts, such as... Figure 2 As shown, the fault detection system for the coal mine conveyor belt includes a safety alarm platform 201, which is communicatively connected to a data acquisition module 202, a conveying detection module 203, a feature analysis module 204, an alarm module 205, and a storage module 206. The data acquisition module 202 includes a weight sensor, a speed sensor, a camera, etc., and can be used to collect weight, speed, and acquire images in the embodiments of this application.

[0033] Figure 3 This is a flowchart of a fault detection method for a coal mine conveyor belt according to an embodiment of this application. Figure 3 As shown, the method includes the following steps:

[0034] Step S301: Obtain the material drop value and the material discharge value of the coal mine conveyor belt at multiple detection time points. The material drop value is the weight of coal transported to the coal mine conveyor belt by the material drop device during the time period from the start of operation of the coal mine conveyor belt to the corresponding detection time point. The material discharge value is the weight of coal transported to the coal preparation machine by the coal mine conveyor belt during the time period. The time interval between any two adjacent detection time points is the same.

[0035] Specifically, such as Figure 2 As shown, the conveyor detection module 203 can be used to perform safety detection and analysis on the coal mine conveyor belt in the coal preparation plant: the coal mine conveyor belt is marked as the detection object, before the detection object starts running, the drive motor of the detection object is started to run under no-load, the belt weight value of the detection object during no-load operation is obtained and marked as the no-load value, and the detection object is periodically detected after it starts running.

[0036] Step S302: The difference between the material drop value and the material output value corresponding to each of the above detection time points is used to form a drop set. The variance of each element in the drop set is calculated to obtain the drop coefficient, and it is determined whether the drop coefficient is less than the drop threshold.

[0037] Specifically, after each detection time point is completed, a set of height differences is created for all completed detection time points. The variance of this set is then calculated to obtain the height difference coefficient. In practical applications, such as... Figure 2 As shown, the drop threshold can be obtained through the storage module 206, and the drop coefficient can be compared with the drop threshold.

[0038] Step S303: If the drop coefficient is less than the drop threshold, it is determined that the coal mine conveyor belt is not faulty.

[0039] Specifically, if it is determined that there is no fault in the coal mine conveyor belt, it means that the coal mine conveyor belt is operating normally and no further action is required.

[0040] Step S304: If the drop coefficient is not less than the drop threshold, obtain the transport value of the coal mine conveyor belt at the current detection time point, and determine whether the coal mine conveyor belt has the above-mentioned fault based at least on whether the transport value is within the first predetermined range. If the transport value is within the first predetermined range, determine that the coal mine conveyor belt does not have the above-mentioned fault. If the transport value is not within the first predetermined range, determine that the coal mine conveyor belt has the above-mentioned fault. The transport value is the weight of the coal transported by the coal mine conveyor belt.

[0041] Specifically, first, measure the total weight of the conveyor belt and the coal material above it at the current measurement time. Subtract the above-mentioned no-load value from the total weight to obtain the transport value.

[0042] In order to determine the fault type and then perform targeted fault repair based on the fault type, thereby improving the efficiency of fault diagnosis and repair, after step S304, the method further includes: in the case of the fault, determining the fault type corresponding to the fault based on the relationship between the transport value and the maximum value and the minimum value of the first predetermined range, and saving the fault information corresponding to the fault, wherein the fault information includes at least the fault type.

[0043] In practical applications, when a coal mine conveyor belt malfunctions, an in-depth analysis of its operational status at the current inspection time point is conducted to determine the corresponding fault type. The in-depth analysis includes both standard and optimized analysis modes. The initial in-depth analysis uses the standard analysis mode, summing and averaging the drop values ​​from all inspection time points prior to the current inspection time point to obtain the standard drop value LB. This is then calculated using the formula LB. min =e1*LB and formula LB max =e2*LB to obtain the standard threshold for elevation difference LB min With LB max Where e1 and e2 are both proportionality coefficients, and 0.85≤e1≤0.95, 1.05≤e2≤1.15, the aforementioned first predetermined range can be [LB]. min LB max ].

[0044] In some optional embodiments, the fault type corresponding to the fault is determined based on the relationship between the transport value and the maximum and minimum values ​​of the first predetermined range. This includes determining the fault type as a belt misalignment fault when the transport value is not greater than the minimum value of the first predetermined range. The belt misalignment fault is used to characterize the failure of the unloading equipment to unload coal onto the central axis of the coal mine conveyor belt. A transport value not greater than the first predetermined range indicates that only a portion of the coal transported from the unloading equipment to the coal mine conveyor belt actually falls onto the belt. Due to the deviation in the landing point, some coal falls off the belt, resulting in less coal on the belt. Therefore, the fault type can be determined as a belt misalignment fault.

[0045] If the transport value is not less than a first predetermined range, then the misalignment fault can be ruled out. Further fault type determination requires measuring the rotational speed of the idler rollers of the coal mine conveyor. In some optional embodiments, the fault type is determined based on the relationship between the transport value and the maximum and minimum values ​​of the first predetermined range. This includes: when the transport value is not less than the maximum value of the first predetermined range, obtaining the average rotational speed of the idler rollers of the coal mine conveyor during the time interval between the current detection time point and the previous detection time point, obtaining the rotational speed value, and determining whether the rotational speed value is greater than a rotational speed threshold; when the rotational speed value is not greater than the rotational speed threshold, determining the fault type as a drive fault, which indicates that the driving force of the idler rollers of the coal mine conveyor is too small; when the rotational speed value is greater than the rotational speed threshold, determining the fault type as a slippage fault, which indicates that the driving force of the idler rollers of the coal mine conveyor is too large.

[0046] In practical applications, after determining the fault type to be a deviation fault, such as Figure 2 As shown, the conveyor detection module 203 sends a misalignment fault signal to the safety alarm platform 201. Upon receiving the misalignment fault signal, the safety alarm platform 201 sends it to the alarm module 205. Upon receiving the misalignment fault signal, the alarm module 205 controls the yellow alarm light to illuminate. The speed threshold can be obtained through the storage module 206. If the speed value is not greater than the speed threshold, the fault type is determined to be a drive fault. Figure 2 As shown, the conveying detection module 203 sends a drive fault signal to the safety alarm platform 201. Upon receiving the drive fault signal, the safety alarm platform 201 sends it to the alarm module 205. Upon receiving the drive fault signal, the alarm module 205 controls the purple alarm light to illuminate. If the aforementioned rotational speed value is greater than the aforementioned rotational speed threshold, the fault type is determined to be a slippage fault. Figure 2 As shown, the conveyor detection module 203 sends a slippage fault signal to the safety alarm platform 201. Upon receiving the slippage fault signal, the safety alarm platform 201 sends it to the alarm module 205. Upon receiving the slippage fault signal, the alarm module 205 controls the red alarm light to illuminate. Determining the fault type of the coal mine conveyor belt involves a comprehensive analysis of parameters such as the feed rate, discharge rate, unloaded weight, and loaded weight. Based on the fault type, targeted fault repairs are then performed, improving the efficiency of fault diagnosis and repair.

[0047] In some optional embodiments, before determining whether the coal mine conveyor belt is faulty based at least on whether the transport value is within a first predetermined range, the method further includes: acquiring an alarm value, the alarm value being used to characterize the number of all the aforementioned fault information; if the alarm value is not less than the first predetermined value, sequentially performing fault detection on the corresponding fault types according to the order of the number of the aforementioned fault information corresponding to different fault types from largest to smallest. Historical fault data is analyzed, and the fault detection procedures are sorted by the frequency of occurrence of each fault type, thereby executing the fault detection procedures according to the sorting, prioritizing the detection procedures with the highest probability of occurrence of the fault type, and so on, thereby shortening the fault diagnosis time and further improving the efficiency of fault type diagnosis.

[0048] In practical applications, after the ordinary analysis mode completes in-depth analysis, such as Figure 2 As shown, the total number of historical occurrences of deviation fault signals, drive fault signals, and slippage fault signals received by the alarm module 205 is marked as an alarm value. A first predetermined value is obtained through the storage module 206. The alarm value is compared with the first predetermined value. If the alarm value is less than the first predetermined value, it is determined that the fault state of the detected object does not have optimization characteristics, and the normal analysis mode is used in the next in-depth analysis. If the alarm value is greater than or equal to the first predetermined value, it is determined that the fault state of the detected object has optimization characteristics, and the optimization analysis mode is used in the next in-depth analysis. The deviation fault detection, drive fault detection, and slippage fault detection are sorted in descending order of the number of times the deviation fault signal, drive fault signal, and slippage fault signal were received to obtain the detection order. The detected object is then subjected to fault detection in sequence according to the detection order.

[0049] It should be noted that belt misalignment detection, drive fault detection, and slippage fault detection can all be performed using existing detection methods for single-process fault detection. For example, the belt misalignment detection process can be carried out by capturing images with a camera on the upper side of the conveyor belt, performing image enhancement and grayscale transformation on the captured images, and analyzing the degree of belt misalignment on the outer surface of the idler rollers through image processing technology, thereby determining whether there is a belt misalignment fault in the coal mine conveyor belt; the drive fault detection process can be completed by detecting the rotational speed of the idler rollers; and the slippage fault detection can be completed by comprehensively analyzing the rotational speed of the idler rollers and the belt running speed.

[0050] In order to perform operations such as accountability and system optimization based on fault characteristics, in some optional embodiments, after determining whether the coal mine conveyor belt has the aforementioned fault based at least on whether the aforementioned transport value is within a first predetermined range, and determining the corresponding fault type if the aforementioned fault exists, the method further includes: obtaining a cumulative length value when the aforementioned alarm value is not less than a second predetermined value, the aforementioned cumulative length value being used to characterize the cumulative usage time of the aforementioned coal mine conveyor belt; determining the fault characteristics of the aforementioned coal mine conveyor belt based on whether the aforementioned cumulative length value is within a second predetermined range, the aforementioned fault characteristics including factory faults, maintenance faults, and aging faults.

[0051] Specifically, if the alarm value is less than the second predetermined value, the fault status of the coal mine conveyor belt is determined to be normal.

[0052] In some optional embodiments, determining the fault characteristics of the coal mine conveyor belt based on whether the accumulated length value is within a second predetermined range includes: determining the fault characteristic as a maintenance fault when the accumulated length value is within the second predetermined range; determining the fault characteristic as a factory fault when the accumulated length value is less than the minimum value of the second predetermined range; and determining the fault characteristic as an aging fault when the accumulated length value is greater than the maximum value of the second predetermined range. If the fault characteristic is determined to be a factory fault, the manufacturer can be held accountable; if the fault characteristic is determined to be a maintenance fault, maintenance personnel can be reminded to maintain the coal mine conveyor belt; and if the fault characteristic is determined to be an aging fault, maintenance personnel can be reminded to replace the equipment.

[0053] In practical applications, if the fault characteristics of a coal mine conveyor belt are determined to be a factory fault, such as... Figure 2 As shown, the feature analysis module 204 sends a factory accountability signal to the safety alarm platform 201. After receiving the factory accountability signal, the safety alarm platform 201 sends it to the mobile terminal of the management personnel. If the fault characteristic of the coal mine conveyor belt is determined to be a maintenance fault, such as... Figure 2 As shown, the feature analysis module 204 sends an enhanced maintenance signal to the safety alarm platform 201. Upon receiving the enhanced maintenance signal, the safety alarm platform 201 sends it to the mobile terminal of the management personnel. If the fault characteristic of the coal mine conveyor belt is determined to be an aging fault, such as... Figure 2 As shown, the feature analysis module 204 sends an equipment update signal to the safety alarm platform 201. After receiving the equipment update signal, the safety alarm platform 201 sends the equipment update signal to the mobile terminal of the management personnel. Fault feature analysis is performed on the coal mine conveyor belt. When the fault state does not meet the requirements, the cumulative running time of the coal mine conveyor belt is statistically analyzed. Based on the cumulative running time, the fault characteristics of the coal mine conveyor belt are derived. Based on the fault characteristics, operations such as accountability and system optimization can be performed.

[0054] Through the above embodiments, by calculating the difference between the material drop value and the output value measured at multiple detection time points with the same time interval, the variance of the multiple differences is obtained as the drop coefficient. Based on whether the drop coefficient is within the drop threshold range and whether the transport value of the coal mine conveyor belt at the current detection time point is within a first predetermined range, it can be determined whether the coal transported by the coal mine conveyor belt at the current detection time point and in multiple time periods before the current detection time point is stable. This allows for timely judgment of whether there is a fault in the coal mine conveyor belt, thus solving the problem of untimely feedback on abnormalities in coal mine conveyor belts in the prior art. This application monitors and provides feedback on the operating status of the coal mine conveyor belt in various time periods through timed detection, thereby providing timely warnings when abnormalities occur and ensuring the normal and safe operation of the equipment.

[0055] This application also provides a fault detection device for a coal mine conveyor belt. It should be noted that the fault detection device for a coal mine conveyor belt provided in this application can be used to execute the fault detection method for a coal mine conveyor belt provided in this application. This device is used to implement the above embodiments and preferred embodiments; details already described will not be repeated. As used below, the term "module" can refer to a combination of software and / or hardware that performs a predetermined function. Although the device described in the following embodiments is preferably implemented in software, hardware implementation, or a combination of software and hardware, is also possible and contemplated.

[0056] The following describes the fault detection device for coal mine conveyor belts provided in the embodiments of this application.

[0057] Figure 4 This is a schematic diagram of a fault detection device for a coal mine conveyor belt according to an embodiment of this application. Figure 4 As shown, the device includes a first acquisition unit 10, a calculation unit 20, a first determination unit 30, and a second determination unit 40, wherein:

[0058] The first acquisition unit 10 is used to acquire the material drop value and the material discharge value of the coal mine conveyor belt at multiple detection time points. The material drop value is the weight of coal transferred to the coal mine conveyor belt by the material drop device during the time period from the start of operation of the coal mine conveyor belt to the corresponding detection time point. The material discharge value is the weight of coal transferred to the coal preparation machine by the coal mine conveyor belt during the time period. The time interval between any two adjacent detection time points is the same.

[0059] Specifically, such as Figure 2As shown, the conveyor detection module 203 can be used to perform safety detection and analysis on the coal mine conveyor belt in the coal preparation plant: the coal mine conveyor belt is marked as the detection object, before the detection object starts running, the drive motor of the detection object is started to run under no-load, the belt weight value of the detection object during no-load operation is obtained and marked as the no-load value, and the detection object is periodically detected after it starts running.

[0060] The calculation unit 20 is used to form a drop set by the difference between the drop value and the output value corresponding to each of the above detection time points, to calculate the variance of each element in the drop set, to obtain the drop coefficient, and to determine whether the drop coefficient is less than the drop threshold.

[0061] Specifically, after each detection time point is completed, a set of height differences is created for all completed detection time points. The variance of this set is then calculated to obtain the height difference coefficient. In practical applications, such as... Figure 2 As shown, the drop threshold can be obtained through the storage module 206, and the drop coefficient can be compared with the drop threshold.

[0062] The first determining unit 30 is used to determine that the coal mine conveyor belt is not faulty when the drop coefficient is less than the drop threshold.

[0063] Specifically, if it is determined that there is no fault in the coal mine conveyor belt, it means that the coal mine conveyor belt is operating normally and no further action is required.

[0064] The second determining unit 40 is used to obtain the transport value of the coal mine conveyor belt at the current detection time point when the drop coefficient is not less than the drop threshold, and to determine whether the coal mine conveyor belt has the above-mentioned fault based at least on whether the transport value is within the first predetermined range. If the transport value is within the first predetermined range, it is determined that the coal mine conveyor belt does not have the above-mentioned fault. If the transport value is not within the first predetermined range, it is determined that the coal mine conveyor belt has the above-mentioned fault. The transport value is the weight of the coal transported by the coal mine conveyor belt.

[0065] Specifically, first, measure the total weight of the conveyor belt and the coal material above it at the current measurement time. Subtract the above-mentioned no-load value from the total weight to obtain the transport value.

[0066] In order to determine the fault type and thus perform targeted fault repair based on the fault type, thereby improving the efficiency of fault diagnosis and repair, the above-mentioned device further includes a third determining unit. The third determining unit is used to determine the fault type corresponding to the fault based on the relationship between the transport value and the maximum value and the minimum value of the first predetermined range after determining that the coal mine conveyor belt has the fault when the transport value is not within the first predetermined range, and to save the fault information corresponding to the fault. The fault information includes at least the fault type.

[0067] In practical applications, when a coal mine conveyor belt malfunctions, an in-depth analysis of its operational status at the current inspection time point is conducted to determine the corresponding fault type. The in-depth analysis includes both standard and optimized analysis modes. The initial in-depth analysis uses the standard analysis mode, summing and averaging the drop values ​​from all inspection time points prior to the current inspection time point to obtain the standard drop value LB. This is then calculated using the formula LB. min =e1*LB and formula LB max =e2*LB to obtain the standard threshold for elevation difference LB min With LB max Where e1 and e2 are both proportionality coefficients, and 0.85≤e1≤0.95, 1.05≤e2≤1.15, the aforementioned first predetermined range can be [LB]. min LB max ].

[0068] In some optional embodiments, the third determining unit includes a first determining module. This first determining module is used to determine that the fault type is a belt misalignment fault when the transport value is not greater than the minimum of the first predetermined range. The belt misalignment fault is used to characterize the failure of the unloading equipment to deliver coal onto the central axis of the coal mine conveyor belt. A transport value not greater than the first predetermined range indicates that only a portion of the coal transported from the unloading equipment to the coal mine conveyor belt actually falls onto the belt. Because of the deviation in the landing point, some coal falls off the belt, resulting in less coal on the belt. Therefore, the fault type can be determined to be a belt misalignment fault.

[0069] If the transport value is not less than the first predetermined range, then the misalignment fault can be ruled out. Further fault type determination requires measuring the rotational speed of the idler rollers of the coal mine conveyor. In some optional embodiments, the third determining unit includes a second determining module, a third determining module, and a fourth determining module. The second determining module is used to obtain the average rotational speed of the idler rollers of the coal mine conveyor during the time interval between the current detection time point and the previous detection time point when the transport value is not less than the maximum value of the first predetermined range, obtain the rotational speed value, and determine whether the rotational speed value is greater than a rotational speed threshold. The third determining module is used to determine the fault type as a drive fault when the rotational speed value is not greater than the rotational speed threshold, whereby the drive fault indicates that the driving force of the idler rollers of the coal mine conveyor is too small. The fourth determining module is used to determine the fault type as a slippage fault when the rotational speed value is greater than the rotational speed threshold, whereby the slippage fault indicates that the driving force of the idler rollers of the coal mine conveyor is too large.

[0070] In practical applications, after determining the fault type to be a deviation fault, such as Figure 2 As shown, the conveyor detection module 203 sends a misalignment fault signal to the safety alarm platform 201. Upon receiving the misalignment fault signal, the safety alarm platform 201 sends it to the alarm module 205. Upon receiving the misalignment fault signal, the alarm module 205 controls the yellow alarm light to illuminate. The speed threshold can be obtained through the storage module 206. If the speed value is not greater than the speed threshold, the fault type is determined to be a drive fault. Figure 2 As shown, the conveying detection module 203 sends a drive fault signal to the safety alarm platform 201. Upon receiving the drive fault signal, the safety alarm platform 201 sends it to the alarm module 205. Upon receiving the drive fault signal, the alarm module 205 controls the purple alarm light to illuminate. If the aforementioned rotational speed value is greater than the aforementioned rotational speed threshold, the fault type is determined to be a slippage fault. Figure 2 As shown, the conveyor detection module 203 sends a slippage fault signal to the safety alarm platform 201. Upon receiving the slippage fault signal, the safety alarm platform 201 sends it to the alarm module 205. Upon receiving the slippage fault signal, the alarm module 205 controls the red alarm light to illuminate. Determining the fault type of the coal mine conveyor belt involves a comprehensive analysis of parameters such as the feed rate, discharge rate, unloaded weight, and loaded weight. Based on the fault type, targeted fault repairs are then performed, improving the efficiency of fault diagnosis and repair.

[0071] In some optional embodiments, the apparatus further includes a second acquisition unit and a detection unit. The second acquisition unit acquires an alarm value before determining whether the coal mine conveyor belt has a fault, at least based on whether the transport value is within a first predetermined range. The alarm value represents the number of all fault information items. The detection unit, when the alarm value is not less than the first predetermined value, sequentially performs fault detection on the corresponding fault types according to the order of the number of fault information items corresponding to different fault types from largest to smallest. Historical fault data is analyzed, and the fault detection procedures are sorted by the frequency of occurrence of each fault type. The fault detection procedures are then executed according to the sorting, prioritizing the detection procedures with the highest probability of occurrence of the fault type, and so on, thereby shortening the fault diagnosis time and further improving the efficiency of fault type diagnosis.

[0072] In practical applications, after the ordinary analysis mode completes in-depth analysis, such as Figure 2 As shown, the total number of historical occurrences of deviation fault signals, drive fault signals, and slippage fault signals received by the alarm module 205 is marked as an alarm value. A first predetermined value is obtained through the storage module 206. The alarm value is compared with the first predetermined value. If the alarm value is less than the first predetermined value, it is determined that the fault state of the detected object does not have optimization characteristics, and the normal analysis mode is used in the next in-depth analysis. If the alarm value is greater than or equal to the first predetermined value, it is determined that the fault state of the detected object has optimization characteristics, and the optimization analysis mode is used in the next in-depth analysis. The deviation fault detection, drive fault detection, and slippage fault detection are sorted in descending order of the number of times the deviation fault signal, drive fault signal, and slippage fault signal were received to obtain the detection order. The detected object is then subjected to fault detection in sequence according to the detection order.

[0073] It should be noted that belt misalignment detection, drive fault detection, and slippage fault detection can all be performed using existing detection methods for single-process fault detection. For example, the belt misalignment detection process can be carried out by capturing images with a camera on the upper side of the conveyor belt, performing image enhancement and grayscale transformation on the captured images, and analyzing the degree of belt misalignment on the outer surface of the idler rollers through image processing technology, thereby determining whether there is a belt misalignment fault in the coal mine conveyor belt; the drive fault detection process can be completed by detecting the rotational speed of the idler rollers; and the slippage fault detection can be completed by comprehensively analyzing the rotational speed of the idler rollers and the belt running speed.

[0074] In order to perform operations such as accountability and system optimization based on fault characteristics, in some optional embodiments, the above-mentioned device further includes a third acquisition unit and a fourth determination unit. The third acquisition unit is used to determine whether the coal mine conveyor belt has the above-mentioned fault based on at least whether the above-mentioned transport value is within a first predetermined range, and after determining the corresponding fault type if the above-mentioned fault exists, and if the above-mentioned alarm value is not less than a second predetermined value, to acquire a cumulative length value, which is used to characterize the cumulative usage time of the coal mine conveyor belt. The fourth determination unit is used to determine the fault characteristics of the coal mine conveyor belt based on whether the above-mentioned cumulative length value is within a second predetermined range. The fault characteristics include factory faults, maintenance faults, and aging faults.

[0075] Specifically, if the alarm value is less than the second predetermined value, the fault status of the coal mine conveyor belt is determined to be normal.

[0076] In some optional embodiments, the fourth determining unit includes a fifth determining module, a sixth determining module, and a seventh determining module. The fifth determining module is used to determine that the fault characteristic is a maintenance fault when the accumulated length value is within the second predetermined range; the sixth determining module is used to determine that the fault characteristic is a factory fault when the accumulated length value is less than the minimum value of the second predetermined range; and the seventh determining module is used to determine that the fault characteristic is an aging fault when the accumulated length value is greater than the maximum value of the second predetermined range. If the fault characteristic is determined to be a factory fault, the manufacturer can be held accountable; if the fault characteristic is determined to be a maintenance fault, maintenance personnel can be reminded to maintain the coal mine conveyor belt; and if the fault characteristic is determined to be an aging fault, maintenance personnel can be reminded to update the equipment.

[0077] In practical applications, if the fault characteristics of a coal mine conveyor belt are determined to be a factory fault, such as... Figure 2 As shown, the feature analysis module 204 sends a factory accountability signal to the safety alarm platform 201. After receiving the factory accountability signal, the safety alarm platform 201 sends it to the mobile terminal of the management personnel. If the fault characteristic of the coal mine conveyor belt is determined to be a maintenance fault, such as... Figure 2 As shown, the feature analysis module 204 sends an enhanced maintenance signal to the safety alarm platform 201. Upon receiving the enhanced maintenance signal, the safety alarm platform 201 sends it to the mobile terminal of the management personnel. If the fault characteristic of the coal mine conveyor belt is determined to be an aging fault, such as... Figure 2As shown, the feature analysis module 204 sends an equipment update signal to the safety alarm platform 201. After receiving the equipment update signal, the safety alarm platform 201 sends the equipment update signal to the mobile terminal of the management personnel. Fault feature analysis is performed on the coal mine conveyor belt. When the fault state does not meet the requirements, the cumulative running time of the coal mine conveyor belt is statistically analyzed. Based on the cumulative running time, the fault characteristics of the coal mine conveyor belt are derived. Based on the fault characteristics, operations such as accountability and system optimization can be performed.

[0078] Through the above embodiments, by calculating the difference between the material drop value and the output value measured at multiple detection time points with the same time interval, the variance of the multiple differences is obtained as the drop coefficient. Based on whether the drop coefficient is within the drop threshold range and whether the transport value of the coal mine conveyor belt at the current detection time point is within a first predetermined range, it can be determined whether the coal transported by the coal mine conveyor belt at the current detection time point and in multiple time periods before the current detection time point is stable. This allows for timely judgment of whether there is a fault in the coal mine conveyor belt, thus solving the problem of untimely feedback on abnormalities in coal mine conveyor belts in the prior art. This application monitors and provides feedback on the operating status of the coal mine conveyor belt in various time periods through timed detection, thereby providing timely warnings when abnormalities occur and ensuring the normal and safe operation of the equipment.

[0079] The aforementioned fault detection device for coal mine conveyor belts includes a processor and a memory. The first acquisition unit, the calculation unit, the first determination unit, and the second determination unit are all stored as program units in the memory. The processor executes these program units stored in the memory to achieve the corresponding functions. All of the above modules are located in the same processor; alternatively, the modules may be located in different processors in any combination.

[0080] The processor contains a kernel, which retrieves the corresponding program units from memory. One or more kernels can be configured, and adjusting kernel parameters can address the problem of untimely anomaly feedback in existing coal mine conveyor belt systems.

[0081] The memory may include non-permanent memory in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM, and the memory includes at least one memory chip.

[0082] This invention provides a computer-readable storage medium including a stored program, wherein, when the program is executed, it controls the device containing the computer-readable storage medium to perform the fault detection method for the coal mine conveyor belt.

[0083] Specifically, the fault detection methods for coal mine conveyor belts include:

[0084] Step S301: Obtain the material drop value and the material discharge value of the coal mine conveyor belt at multiple detection time points. The material drop value is the weight of coal transported to the coal mine conveyor belt by the material drop device during the time period from the start of operation of the coal mine conveyor belt to the corresponding detection time point. The material discharge value is the weight of coal transported to the coal preparation machine by the coal mine conveyor belt during the time period. The time interval between any two adjacent detection time points is the same.

[0085] Specifically, a conveyor detection module can be used to conduct safety inspection and analysis of coal mine conveyor belts in coal preparation plants: the coal mine conveyor belt is marked as the inspection object, the drive motor of the inspection object is started to run under no-load before the inspection object starts running, the belt weight value of the inspection object during no-load operation is obtained and marked as the no-load value, and the inspection object is periodically inspected after it starts running.

[0086] Step S302: The difference between the material drop value and the material output value corresponding to each of the above detection time points is used to form a drop set. The variance of each element in the drop set is calculated to obtain the drop coefficient, and it is determined whether the drop coefficient is less than the drop threshold.

[0087] Specifically, after each detection time point is completed, a set of drop values ​​for all completed detection time points is established. The variance of the drop set is calculated to obtain the drop coefficient. In practical applications, the drop threshold can be obtained through the storage module, and the drop coefficient is compared with the drop threshold.

[0088] Step S303: If the drop coefficient is less than the drop threshold, it is determined that the coal mine conveyor belt is not faulty.

[0089] Specifically, if it is determined that there is no fault in the coal mine conveyor belt, it means that the coal mine conveyor belt is operating normally and no further action is required.

[0090] Step S304: If the drop coefficient is not less than the drop threshold, obtain the transport value of the coal mine conveyor belt at the current detection time point, and determine whether the coal mine conveyor belt has the above-mentioned fault based at least on whether the transport value is within the first predetermined range. If the transport value is within the first predetermined range, determine that the coal mine conveyor belt does not have the above-mentioned fault. If the transport value is not within the first predetermined range, determine that the coal mine conveyor belt has the above-mentioned fault. The transport value is the weight of the coal transported by the coal mine conveyor belt.

[0091] Specifically, first, measure the total weight of the conveyor belt and the coal material above it at the current measurement time. Subtract the above-mentioned no-load value from the total weight to obtain the transport value.

[0092] Optionally, after determining that the coal mine conveyor belt has the above-mentioned fault when the above-mentioned transport value is not within the above-mentioned first predetermined range, the above-mentioned method further includes: determining the fault type corresponding to the above-mentioned fault based on the relationship between the above-mentioned transport value and the maximum value and the minimum value of the above-mentioned first predetermined range, and saving the fault information corresponding to the above-mentioned fault, wherein the fault information includes at least the above-mentioned fault type.

[0093] Optionally, the fault type corresponding to the fault is determined based on the relationship between the above-mentioned transport value and the maximum value and the minimum value of the first predetermined range, including: when the above-mentioned transport value is not greater than the minimum value of the first predetermined range, the fault type is determined to be a belt misalignment fault, and the belt misalignment fault is used to characterize that the above-mentioned material dropping equipment cannot drop the coal onto the central axis of the belt of the coal mine conveyor.

[0094] Optionally, based on the relationship between the transport value and the maximum and minimum values ​​of the first predetermined range, the fault type corresponding to the fault is determined, including: when the transport value is not less than the maximum value of the first predetermined range, obtaining the average rotational speed of the idler roller of the coal mine conveyor during the time interval between the current detection time point and the previous detection time point, obtaining the rotational speed value, and determining whether the rotational speed value is greater than a rotational speed threshold; when the rotational speed value is not greater than the rotational speed threshold, determining the fault type as a drive fault, the drive fault being used to characterize that the driving force of the idler roller of the coal mine conveyor is too small; when the rotational speed value is greater than the rotational speed threshold, determining the fault type as a slippage fault, the slippage fault being used to characterize that the driving force of the idler roller of the coal mine conveyor is too large.

[0095] Optionally, before determining whether the coal mine conveyor belt is faulty based at least on whether the transport value is within a first predetermined range, the method further includes: acquiring an alarm value, the alarm value being used to characterize the number of all the fault information; and, if the alarm value is not less than the first predetermined value, sequentially performing fault detection on the corresponding fault types according to the order of the number of fault information corresponding to different fault types from largest to smallest.

[0096] Optionally, after determining whether the coal mine conveyor belt has the aforementioned fault based at least on whether the aforementioned transport value is within a first predetermined range, and determining the corresponding fault type if the aforementioned fault exists, the method further includes: obtaining a cumulative length value when the aforementioned alarm value is not less than a second predetermined value, the cumulative length value being used to characterize the cumulative usage time of the coal mine conveyor belt; and determining the fault characteristics of the coal mine conveyor belt based on whether the aforementioned cumulative length value is within a second predetermined range, the fault characteristics including factory faults, maintenance faults, and aging faults.

[0097] Optionally, determining the fault characteristics of the coal mine conveyor belt based on whether the cumulative length value is within a second predetermined range includes: determining the fault characteristic as a maintenance fault when the cumulative length value is within the second predetermined range; determining the fault characteristic as a factory fault when the cumulative length value is less than the minimum value of the second predetermined range; and determining the fault characteristic as an aging fault when the cumulative length value is greater than the maximum value of the second predetermined range.

[0098] This invention provides a processor for running a program, wherein the program executes the fault detection method for a coal mine conveyor belt.

[0099] Specifically, the fault detection methods for coal mine conveyor belts include:

[0100] Step S301: Obtain the material drop value and the material discharge value of the coal mine conveyor belt at multiple detection time points. The material drop value is the weight of coal transported to the coal mine conveyor belt by the material drop device during the time period from the start of operation of the coal mine conveyor belt to the corresponding detection time point. The material discharge value is the weight of coal transported to the coal preparation machine by the coal mine conveyor belt during the time period. The time interval between any two adjacent detection time points is the same.

[0101] Specifically, a conveyor detection module can be used to conduct safety inspection and analysis of coal mine conveyor belts in coal preparation plants: the coal mine conveyor belt is marked as the inspection object, the drive motor of the inspection object is started to run under no-load before the inspection object starts running, the belt weight value of the inspection object during no-load operation is obtained and marked as the no-load value, and the inspection object is periodically inspected after it starts running.

[0102] Step S302: The difference between the material drop value and the material output value corresponding to each of the above detection time points is used to form a drop set. The variance of each element in the drop set is calculated to obtain the drop coefficient, and it is determined whether the drop coefficient is less than the drop threshold.

[0103] Specifically, after each detection time point is completed, a set of drop values ​​for all completed detection time points is established. The variance of the drop set is calculated to obtain the drop coefficient. In practical applications, the drop threshold can be obtained through the storage module, and the drop coefficient is compared with the drop threshold.

[0104] Step S303: If the drop coefficient is less than the drop threshold, it is determined that the coal mine conveyor belt is not faulty.

[0105] Specifically, if it is determined that there is no fault in the coal mine conveyor belt, it means that the coal mine conveyor belt is operating normally and no further action is required.

[0106] Step S304: If the drop coefficient is not less than the drop threshold, obtain the transport value of the coal mine conveyor belt at the current detection time point, and determine whether the coal mine conveyor belt has the above-mentioned fault based at least on whether the transport value is within the first predetermined range. If the transport value is within the first predetermined range, determine that the coal mine conveyor belt does not have the above-mentioned fault. If the transport value is not within the first predetermined range, determine that the coal mine conveyor belt has the above-mentioned fault. The transport value is the weight of the coal transported by the coal mine conveyor belt.

[0107] Specifically, first, measure the total weight of the conveyor belt and the coal material above it at the current measurement time. Subtract the above-mentioned no-load value from the total weight to obtain the transport value.

[0108] Optionally, after determining that the coal mine conveyor belt has the above-mentioned fault when the above-mentioned transport value is not within the above-mentioned first predetermined range, the above-mentioned method further includes: determining the fault type corresponding to the above-mentioned fault based on the relationship between the above-mentioned transport value and the maximum value and the minimum value of the above-mentioned first predetermined range, and saving the fault information corresponding to the above-mentioned fault, wherein the fault information includes at least the above-mentioned fault type.

[0109] Optionally, the fault type corresponding to the fault is determined based on the relationship between the above-mentioned transport value and the maximum value and the minimum value of the first predetermined range, including: when the above-mentioned transport value is not greater than the minimum value of the first predetermined range, the fault type is determined to be a belt misalignment fault, and the belt misalignment fault is used to characterize that the above-mentioned material dropping equipment cannot drop the coal onto the central axis of the belt of the coal mine conveyor.

[0110] Optionally, based on the relationship between the transport value and the maximum and minimum values ​​of the first predetermined range, the fault type corresponding to the fault is determined, including: when the transport value is not less than the maximum value of the first predetermined range, obtaining the average rotational speed of the idler roller of the coal mine conveyor during the time interval between the current detection time point and the previous detection time point, obtaining the rotational speed value, and determining whether the rotational speed value is greater than a rotational speed threshold; when the rotational speed value is not greater than the rotational speed threshold, determining the fault type as a drive fault, the drive fault being used to characterize that the driving force of the idler roller of the coal mine conveyor is too small; when the rotational speed value is greater than the rotational speed threshold, determining the fault type as a slippage fault, the slippage fault being used to characterize that the driving force of the idler roller of the coal mine conveyor is too large.

[0111] Optionally, before determining whether the coal mine conveyor belt is faulty based at least on whether the transport value is within a first predetermined range, the method further includes: acquiring an alarm value, the alarm value being used to characterize the number of all the fault information; and, if the alarm value is not less than the first predetermined value, sequentially performing fault detection on the corresponding fault types according to the order of the number of fault information corresponding to different fault types from largest to smallest.

[0112] Optionally, after determining whether the coal mine conveyor belt has the aforementioned fault based at least on whether the aforementioned transport value is within a first predetermined range, and determining the corresponding fault type if the aforementioned fault exists, the method further includes: obtaining a cumulative length value when the aforementioned alarm value is not less than a second predetermined value, the cumulative length value being used to characterize the cumulative usage time of the coal mine conveyor belt; and determining the fault characteristics of the coal mine conveyor belt based on whether the aforementioned cumulative length value is within a second predetermined range, the fault characteristics including factory faults, maintenance faults, and aging faults.

[0113] Optionally, determining the fault characteristics of the coal mine conveyor belt based on whether the cumulative length value is within a second predetermined range includes: determining the fault characteristic as a maintenance fault when the cumulative length value is within the second predetermined range; determining the fault characteristic as a factory fault when the cumulative length value is less than the minimum value of the second predetermined range; and determining the fault characteristic as an aging fault when the cumulative length value is greater than the maximum value of the second predetermined range.

[0114] This invention provides a device including a processor, a memory, and a program stored in the memory and executable on the processor. When the processor executes the program, it performs at least the following steps:

[0115] Step S301: Obtain the material drop value and the material discharge value of the coal mine conveyor belt at multiple detection time points. The material drop value is the weight of coal transported to the coal mine conveyor belt by the material drop device during the time period from the start of operation of the coal mine conveyor belt to the corresponding detection time point. The material discharge value is the weight of coal transported to the coal preparation machine by the coal mine conveyor belt during the time period. The time interval between any two adjacent detection time points is the same.

[0116] Step S302: The difference between the material drop value and the material output value corresponding to each of the above detection time points is used to form a drop set. The variance of each element in the drop set is calculated to obtain the drop coefficient, and it is determined whether the drop coefficient is less than the drop threshold.

[0117] Step S303: If the drop coefficient is less than the drop threshold, it is determined that the coal mine conveyor belt is not faulty.

[0118] Step S304: If the drop coefficient is not less than the drop threshold, obtain the transport value of the coal mine conveyor belt at the current detection time point, and determine whether the coal mine conveyor belt has the above-mentioned fault based at least on whether the transport value is within the first predetermined range. If the transport value is within the first predetermined range, determine that the coal mine conveyor belt does not have the above-mentioned fault. If the transport value is not within the first predetermined range, determine that the coal mine conveyor belt has the above-mentioned fault. The transport value is the weight of the coal transported by the coal mine conveyor belt.

[0119] Optionally, after determining that the coal mine conveyor belt has the above-mentioned fault when the above-mentioned transport value is not within the above-mentioned first predetermined range, the above-mentioned method further includes: determining the fault type corresponding to the above-mentioned fault based on the relationship between the above-mentioned transport value and the maximum value and the minimum value of the above-mentioned first predetermined range, and saving the fault information corresponding to the above-mentioned fault, wherein the fault information includes at least the above-mentioned fault type.

[0120] Optionally, the fault type corresponding to the fault is determined based on the relationship between the above-mentioned transport value and the maximum value and the minimum value of the first predetermined range, including: when the above-mentioned transport value is not greater than the minimum value of the first predetermined range, the fault type is determined to be a belt misalignment fault, and the belt misalignment fault is used to characterize that the above-mentioned material dropping equipment cannot drop the coal onto the central axis of the belt of the coal mine conveyor.

[0121] Optionally, based on the relationship between the transport value and the maximum and minimum values ​​of the first predetermined range, the fault type corresponding to the fault is determined, including: when the transport value is not less than the maximum value of the first predetermined range, obtaining the average rotational speed of the idler roller of the coal mine conveyor during the time interval between the current detection time point and the previous detection time point, obtaining the rotational speed value, and determining whether the rotational speed value is greater than a rotational speed threshold; when the rotational speed value is not greater than the rotational speed threshold, determining the fault type as a drive fault, the drive fault being used to characterize that the driving force of the idler roller of the coal mine conveyor is too small; when the rotational speed value is greater than the rotational speed threshold, determining the fault type as a slippage fault, the slippage fault being used to characterize that the driving force of the idler roller of the coal mine conveyor is too large.

[0122] Optionally, before determining whether the coal mine conveyor belt is faulty based at least on whether the transport value is within a first predetermined range, the method further includes: acquiring an alarm value, the alarm value being used to characterize the number of all the fault information; and, if the alarm value is not less than the first predetermined value, sequentially performing fault detection on the corresponding fault types according to the order of the number of fault information corresponding to different fault types from largest to smallest.

[0123] Optionally, after determining whether the coal mine conveyor belt has the aforementioned fault based at least on whether the aforementioned transport value is within a first predetermined range, and determining the corresponding fault type if the aforementioned fault exists, the method further includes: obtaining a cumulative length value when the aforementioned alarm value is not less than a second predetermined value, the cumulative length value being used to characterize the cumulative usage time of the coal mine conveyor belt; and determining the fault characteristics of the coal mine conveyor belt based on whether the aforementioned cumulative length value is within a second predetermined range, the fault characteristics including factory faults, maintenance faults, and aging faults.

[0124] Optionally, determining the fault characteristics of the coal mine conveyor belt based on whether the cumulative length value is within a second predetermined range includes: determining the fault characteristic as a maintenance fault when the cumulative length value is within the second predetermined range; determining the fault characteristic as a factory fault when the cumulative length value is less than the minimum value of the second predetermined range; and determining the fault characteristic as an aging fault when the cumulative length value is greater than the maximum value of the second predetermined range.

[0125] The devices mentioned in this article can be servers, PCs, tablets, mobile phones, etc.

[0126] This application also provides a computer program product, which, when executed on a data processing device, is suitable for executing an initialization program having at least the following method steps:

[0127] Step S301: Obtain the material drop value and the material discharge value of the coal mine conveyor belt at multiple detection time points. The material drop value is the weight of coal transported to the coal mine conveyor belt by the material drop device during the time period from the start of operation of the coal mine conveyor belt to the corresponding detection time point. The material discharge value is the weight of coal transported to the coal preparation machine by the coal mine conveyor belt during the time period. The time interval between any two adjacent detection time points is the same.

[0128] Step S302: The difference between the material drop value and the material output value corresponding to each of the above detection time points is used to form a drop set. The variance of each element in the drop set is calculated to obtain the drop coefficient, and it is determined whether the drop coefficient is less than the drop threshold.

[0129] Step S303: If the drop coefficient is less than the drop threshold, it is determined that the coal mine conveyor belt is not faulty.

[0130] Step S304: If the drop coefficient is not less than the drop threshold, obtain the transport value of the coal mine conveyor belt at the current detection time point, and determine whether the coal mine conveyor belt has the above-mentioned fault based at least on whether the transport value is within the first predetermined range. If the transport value is within the first predetermined range, determine that the coal mine conveyor belt does not have the above-mentioned fault. If the transport value is not within the first predetermined range, determine that the coal mine conveyor belt has the above-mentioned fault. The transport value is the weight of the coal transported by the coal mine conveyor belt.

[0131] Optionally, after determining that the coal mine conveyor belt has the above-mentioned fault when the above-mentioned transport value is not within the above-mentioned first predetermined range, the above-mentioned method further includes: determining the fault type corresponding to the above-mentioned fault based on the relationship between the above-mentioned transport value and the maximum value and the minimum value of the above-mentioned first predetermined range, and saving the fault information corresponding to the above-mentioned fault, wherein the fault information includes at least the above-mentioned fault type.

[0132] Optionally, the fault type corresponding to the fault is determined based on the relationship between the above-mentioned transport value and the maximum value and the minimum value of the first predetermined range, including: when the above-mentioned transport value is not greater than the minimum value of the first predetermined range, the fault type is determined to be a belt misalignment fault, and the belt misalignment fault is used to characterize that the above-mentioned material dropping equipment cannot drop the coal onto the central axis of the belt of the coal mine conveyor.

[0133] Optionally, based on the relationship between the transport value and the maximum and minimum values ​​of the first predetermined range, the fault type corresponding to the fault is determined, including: when the transport value is not less than the maximum value of the first predetermined range, obtaining the average rotational speed of the idler roller of the coal mine conveyor during the time interval between the current detection time point and the previous detection time point, obtaining the rotational speed value, and determining whether the rotational speed value is greater than a rotational speed threshold; when the rotational speed value is not greater than the rotational speed threshold, determining the fault type as a drive fault, the drive fault being used to characterize that the driving force of the idler roller of the coal mine conveyor is too small; when the rotational speed value is greater than the rotational speed threshold, determining the fault type as a slippage fault, the slippage fault being used to characterize that the driving force of the idler roller of the coal mine conveyor is too large.

[0134] Optionally, before determining whether the coal mine conveyor belt is faulty based at least on whether the transport value is within a first predetermined range, the method further includes: acquiring an alarm value, the alarm value being used to characterize the number of all the fault information; and, if the alarm value is not less than the first predetermined value, sequentially performing fault detection on the corresponding fault types according to the order of the number of fault information corresponding to different fault types from largest to smallest.

[0135] Optionally, after determining whether the coal mine conveyor belt has the aforementioned fault based at least on whether the aforementioned transport value is within a first predetermined range, and determining the corresponding fault type if the aforementioned fault exists, the method further includes: obtaining a cumulative length value when the aforementioned alarm value is not less than a second predetermined value, the cumulative length value being used to characterize the cumulative usage time of the coal mine conveyor belt; and determining the fault characteristics of the coal mine conveyor belt based on whether the aforementioned cumulative length value is within a second predetermined range, the fault characteristics including factory faults, maintenance faults, and aging faults.

[0136] Optionally, determining the fault characteristics of the coal mine conveyor belt based on whether the cumulative length value is within a second predetermined range includes: determining the fault characteristic as a maintenance fault when the cumulative length value is within the second predetermined range; determining the fault characteristic as a factory fault when the cumulative length value is less than the minimum value of the second predetermined range; and determining the fault characteristic as an aging fault when the cumulative length value is greater than the maximum value of the second predetermined range.

[0137] It is obvious to those skilled in the art that the modules or steps of the present invention described above can be implemented using general-purpose computing devices. They can be centralized on a single computing device or distributed across a network of multiple computing devices. They can be implemented using computer-executable program code, and thus can be stored in a storage device for execution by a computing device. In some cases, the steps shown or described can be performed in a different order than those described herein, or they can be fabricated as separate integrated circuit modules, or multiple modules or steps can be fabricated as a single integrated circuit module. Thus, the present invention is not limited to any particular combination of hardware and software.

[0138] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0139] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0140] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0141] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0142] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0143] Memory may include non-persistent memory in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory is an example of computer-readable media.

[0144] Computer-readable media includes both permanent and non-permanent, removable and non-removable media that can store information using any method or technology. Information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transferable medium that can be used to store information accessible by a computing device. As defined herein, computer-readable media does not include transient computer-readable media, such as modulated data signals and carrier waves.

[0145] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.

[0146] As can be seen from the above description, the embodiments of this application achieve the following technical effects:

[0147] 1) In the fault detection method for a coal mine conveyor belt of this application, firstly, the material drop value and material discharge value of the coal mine conveyor belt at multiple detection time points are obtained. The material drop value is the weight of coal transported to the coal mine conveyor belt by the material drop device during the time period from the start of operation of the coal mine conveyor belt to the corresponding detection time point. The material discharge value is the weight of coal transported to the coal preparation machine by the coal mine conveyor belt during the time period. The time interval between any two adjacent detection time points is the same. Then, the difference between the material drop value and the material discharge value corresponding to each detection time point is used to form a drop set. The variance of each element in the drop set is calculated to obtain the drop coefficient, and the drop coefficient is determined. The system checks whether the drop coefficient is less than the drop threshold; then, if the drop coefficient is less than the drop threshold, it determines that the coal mine conveyor belt is not faulty; finally, if the drop coefficient is not less than the drop threshold, it obtains the transport value of the coal mine conveyor belt at the current detection time point, and determines whether the coal mine conveyor belt is faulty based at least on whether the transport value is within a first predetermined range. If the transport value is within the first predetermined range, it determines that the coal mine conveyor belt is not faulty; if the transport value is not within the first predetermined range, it determines that the coal mine conveyor belt is faulty. The transport value is the weight of the coal transported by the coal mine conveyor belt. This method calculates the difference between the drop value and the output value measured at multiple detection time points with the same time interval. The variance of the multiple differences is the drop coefficient. Based on whether the drop coefficient is within the drop threshold range and whether the transport value of the coal mine conveyor belt at the current detection time point is within the first predetermined range, it can be determined whether the coal transported by the coal mine conveyor belt at the current detection time point and in multiple time periods before the current detection time point is stable. This allows for timely judgment of whether there is a fault in the coal mine conveyor belt, thus solving the problem of untimely feedback on abnormalities of coal mine conveyor belts in the prior art.

[0148] 2) The fault detection device for a coal mine conveyor belt according to this application includes a first acquisition unit, a calculation unit, a first determination unit, and a second determination unit. The first acquisition unit acquires the material drop value and output value of the coal mine conveyor belt at multiple detection time points. The material drop value is the weight of coal transported to the conveyor belt by the material drop device during the time period from the start of operation to the corresponding detection time point. The output value is the weight of coal transported to the coal preparation machine by the conveyor belt during the same time period. The time interval between any two adjacent detection time points is the same. The calculation unit forms a drop set by the difference between the material drop value and the output value corresponding to each detection time point, and calculates the variance of each element in the drop set. The system obtains a drop coefficient and determines whether the drop coefficient is less than a drop threshold. The first determining unit is used to determine that the coal mine conveyor belt is not faulty if the drop coefficient is less than the drop threshold. The second determining unit is used to obtain the transport value of the coal mine conveyor belt at the current detection time point if the drop coefficient is not less than the drop threshold, and to determine whether the coal mine conveyor belt is faulty based on whether the transport value is within a first predetermined range. If the transport value is within the first predetermined range, the system determines that the coal mine conveyor belt is not faulty. If the transport value is not within the first predetermined range, the system determines that the coal mine conveyor belt is faulty. The transport value is the weight of the coal transported by the coal mine conveyor belt. This device calculates the difference between the drop value and the output value measured at multiple detection time points with the same time interval. The variance of these multiple differences is the drop coefficient. Based on whether the drop coefficient is within the drop threshold range and whether the transport value of the coal mine conveyor belt at the current detection time point is within the first predetermined range, it can determine whether the coal transported by the coal mine conveyor belt at the current detection time point and in multiple time periods before the current detection time point is stable. This allows for timely judgment of whether there is a fault in the coal mine conveyor belt, thus solving the problem of untimely feedback on abnormalities of coal mine conveyor belts in the prior art.

[0149] The above description is merely a preferred embodiment of this application and is not intended to limit this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application.

Claims

1. A fault detection method for a coal mine conveyor belt, characterized in that, The method comprises the following steps: obtaining the coal mine belt conveyor at a plurality of detection time points, the drop value is the weight of the coal mine dropped onto the coal mine belt conveyor by the dropping device during a time period from the start of operation to the corresponding detection time point, the discharge value is the weight of the coal mine transported onto the coal preparation machine by the coal mine belt conveyor during the time period, the time interval between any two adjacent detection time points is the same; the difference between the drop value and the discharge value corresponding to each detection time point forms a drop difference set, the variance of each element in the drop difference set is calculated to obtain a drop difference coefficient, and it is determined whether the drop difference coefficient is less than a drop difference threshold value; in the case where the drop difference coefficient is less than the drop difference threshold value, it is determined that the coal mine belt conveyor does not have a fault; in the case where the drop difference coefficient is not less than the drop difference threshold value, the transportation value of the coal mine belt conveyor at the current detection time point is obtained, and it is determined whether the coal mine belt conveyor has the fault according to whether the transportation value is within a first predetermined range, in the case where the transportation value is within the first predetermined range, it is determined that the coal mine belt conveyor does not have the fault, and in the case where the transportation value is not within the first predetermined range, it is determined that the coal mine belt conveyor has the fault, the transportation value is the weight of the coal mine transported by the coal mine belt conveyor; in the case where the transportation value is not within the first predetermined range, after it is determined that the coal mine belt conveyor has the fault, the method further comprises: determining the fault type corresponding to the fault according to the size relationship between the transportation value and the maximum value of the first predetermined range and the minimum value of the first predetermined range, and saving the fault information corresponding to the fault, the fault information at least includes the fault type; determining the fault type corresponding to the fault according to the size relationship between the transportation value and the maximum value of the first predetermined range and the minimum value of the first predetermined range, comprising: in the case where the transportation value is not greater than the minimum value of the first predetermined range, determining that the fault type is a deviation fault, the deviation fault is used to represent that the dropping device cannot drop the coal mine onto the central axis of the belt of the coal mine belt conveyor.

2. The method of claim 1, wherein, determining the fault type corresponding to the fault according to the size relationship between the transportation value and the maximum value of the first predetermined range and the minimum value of the first predetermined range, comprising: in the case where the transportation value is not less than the maximum value of the first predetermined range, obtaining the average speed of the carrier roller of the coal mine belt conveyor during the time interval between the current detection time point and the previous detection time point to obtain a speed value, and determining whether the speed value is greater than a speed threshold value; in the case where the speed value is not greater than the speed threshold value, determining that the fault type is a driving fault, the driving fault is used to represent that the driving force of the carrier roller of the coal mine belt conveyor is too small; in the case where the speed value is greater than the speed threshold value, determining that the fault type is a slip fault, the slip fault is used to represent that the driving force of the carrier roller of the coal mine belt conveyor is too large.

3. The method of claim 1, wherein, Before determining whether the coal mine belt conveyor has the fault according to whether the transportation value is in the first predetermined range, the method further comprises: obtaining an alarm value, the alarm value being used to represent the number of all the fault information; in the case that the alarm value is not less than a first predetermined value, sequentially detecting the corresponding fault type according to the order of the number of the fault information corresponding to different fault types from large to small.

4. The method of claim 3, wherein, After determining whether the coal mine belt conveyor has the fault according to whether the transportation value is in the first predetermined range, and determining the corresponding fault type in the case that the coal mine belt conveyor has the fault, the method further comprises: in the case that the alarm value is not less than a second predetermined value, obtaining a cumulative value, the cumulative value being used to represent the cumulative use time length of the coal mine belt conveyor; determining the fault feature of the coal mine belt conveyor according to whether the cumulative value is in a second predetermined range, the fault feature including a factory fault, a maintenance fault and an aging fault.

5. The method of claim 4, wherein, Determining the fault feature of the coal mine belt conveyor according to whether the cumulative value is in the second predetermined range comprises: in the case that the cumulative value is in the second predetermined range, determining that the fault feature is the maintenance fault; in the case that the cumulative value is less than the minimum value of the second predetermined range, determining that the fault feature is the factory fault; in the case that the cumulative value is greater than the maximum value of the second predetermined range, determining that the fault feature is the aging fault.

6. A fault detection device for a coal mine belt conveyor, characterized in that, Comprise: a first obtaining unit, configured to obtain a falling value and a discharging value of a coal mine belt conveyor at a plurality of detection time points, the falling value being a weight of coal mine transmitted to the coal mine belt conveyor by a falling device in a time period from starting operation to the corresponding detection time point, and the discharging value being a weight of coal mine transmitted to a coal preparation machine by the coal mine belt conveyor in the time period, a time interval between any two adjacent detection time points being the same; a calculation unit, configured to form a difference set of the falling value and the discharging value corresponding to each detection time point, perform variance calculation on each element in the difference set to obtain a difference coefficient, and determine whether the difference coefficient is less than a difference threshold; a first determination unit, configured to, in the case that the difference coefficient is less than the difference threshold, determine that the coal mine belt conveyor has no fault; a second determination unit, configured to, in the case that the difference coefficient is not less than the difference threshold, obtain a transportation value of the coal mine belt conveyor at a current detection time point, and determine whether the coal mine belt conveyor has the fault according to whether the transportation value is in a first predetermined range, in the case that the transportation value is in the first predetermined range, determining that the coal mine belt conveyor has no fault, and in the case that the transportation value is not in the first predetermined range, determining that the coal mine belt conveyor has the fault, the transportation value being a weight of coal mine transported by the coal mine belt conveyor. The device further comprises a third determining unit, configured to, after determining that the coal mine belt conveyor has the fault, determine a fault type corresponding to the fault according to a size relationship between the transportation value and a maximum value of the first predetermined range and a minimum value of the first predetermined range, and save fault information corresponding to the fault, the fault information at least comprising the fault type. The third determining unit comprises a first determining module, configured to, when the transportation value is not greater than the minimum value of the first predetermined range, determine that the fault type is a deviation fault, and the deviation fault is used to represent that the material falling device cannot fall coal onto a central axis of a belt of the coal mine belt conveyor.

7. A computer readable storage medium characterized by The computer readable storage medium comprises a stored program, wherein the program, when executed, controls a device where the computer readable storage medium is located to perform the fault detection method of the coal mine belt conveyor according to any one of claims 1 to 5.

8. An electronic device, comprising: comprise: one or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, and the one or more programs comprise a program for performing the fault detection method of the coal mine belt conveyor according to any one of claims 1 to 5.

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