Coal mining machine failure method, system and storage medium

Abstract

The present application discloses a method, system and storage medium for determining coal mining machine faults, which are used to automatically locate the specific location of coal mining machine faults and improve maintenance efficiency. The method includes: during the operation of the coal mining machine, obtaining the operation data of each target position of the coal mining machine; judging whether the operation data of each target position falls into a preset interval corresponding to the target position; judging whether the coal mining machine has a fault based on the operation data of each target position and the preset interval corresponding to the target position; when the coal mining machine fails, determining the location of the fault based on the operation data falling into the preset interval; and issuing a reminder message based on the location of the fault. The scheme provided by the present application can automatically locate the specific location of the coal mining machine fault, without the need for maintenance personnel to manually locate the specific location of the fault, thereby improving maintenance efficiency.

Description

Technical Field

[0001] The present application relates to the technical field of equipment fault diagnosis, and in particular to a method, system and storage medium for determining a coal mining machine fault. Background Art

[0002] Coal mining machine is one of the important equipment to realize the mechanization and modernization of coal mine production. Mechanized coal mining can reduce physical labor, improve safety, and achieve the goals of high output, high efficiency and low consumption. Due to the harsh working environment of coal mining machines, unexpected situations are inevitable during coal mining, and errors occur in design, processing, materials, structure and technology. Therefore, various failures and faults are inevitable when using coal mining machines. The walking mechanism is the actuator of the walking part of the coal mining machine. If there is a problem, the entire coal mining machine will stop running, seriously affecting the normal operation of the coal mining machine. At the same time, when repairing the equipment, it is often encountered that the fault location cannot be accurately located, which reduces the maintenance efficiency. The reduced maintenance efficiency will inevitably lead to longer equipment downtime, which in turn leads to a decrease in the production capacity of the coal mining machine.

[0003] Therefore, there is an urgent need to provide a method for determining coal mining machine faults to automatically locate the specific location of the coal mining machine fault and improve maintenance efficiency. Summary of the invention

[0004] The present application provides a method, system and storage medium for determining coal mining machine faults, which are used to automatically locate the specific location of the coal mining machine fault and improve maintenance efficiency.

[0005] The present application provides a method for determining a coal mining machine fault, comprising:

[0006] During the operation of the coal mining machine, the operation data of each target position of the coal mining machine is obtained;

[0007] Determining whether the operation data of each target position falls within a preset interval corresponding to the target position;

[0008] Determining whether the coal mining machine has a fault according to the operation data of each target position and the preset interval corresponding to the target position;

[0009] When the coal mining machine fails, the location of the failure is determined according to the operation data falling within a preset interval;

[0010] Issue reminder information based on the location of the fault.

[0011] The beneficial effects of the present application are that: the operating data of each target position of the coal mining machine can be obtained during the operation of the coal mining machine; then, whether the coal mining machine has a fault is determined based on the operating data of each target position and the preset interval corresponding to the target position; when the coal mining machine fails, the location of the fault is determined based on the operating data falling into the preset interval; thereby, the specific location of the coal mining machine failure can be automatically located, and a reminder message can be issued based on the location of the failure to remind maintenance personnel of the specific location of the failure, eliminating the need for maintenance personnel to manually locate the specific location of the failure, thereby improving maintenance efficiency.

[0012] In one embodiment, obtaining the operation data of each target position of the coal mining machine includes:

[0013] At least one of the following data of the target location is obtained according to the sensors installed at each target location:

[0014] Vibration data, temperature data and current data.

[0015] In one embodiment, the target location is the location of at least one of the following components:

[0016] The location of the drive wheel, the location of the idler wheel, the location of the travel wheel, the location of the guide shoe, and the location of the scraper conveyor pin.

[0017] In one embodiment, the method further comprises:

[0018] Obtaining preset intervals corresponding to each preset target position;

[0019] Among them, interval a is the vibration signal value range of the bearing where the driving wheel is located when a fault occurs, interval b is the vibration signal value range of the bearing where the idler wheel is located when a fault occurs, interval c is the vibration signal value range of the bearing where the walking wheel is located when a fault occurs, interval d is the vibration signal value range when the guide shoe fails, interval e is the temperature value range when the guide shoe fails, and interval f is the working current value range when the drive motor works normally.

[0020] In one embodiment, judging whether the coal mining machine fails according to the operation data of each target position and the preset interval corresponding to the target position includes:

[0021] When the data collected by the sensor does not fall into the corresponding intervals a, b, c, d, e, and the working current value of the drive motor falls into the interval f, it is determined that the coal mining machine has not failed; otherwise, it is determined that the coal mining machine has failed.

[0022] In one embodiment, when the coal mining machine fails, determining the location of the failure according to the operation data falling within a preset interval includes:

[0023] When it is determined that the vibration data of the bearing where the idler wheel is located falls into interval b, the vibration data of the bearing where the travel wheel is located falls into interval c, the working current value of the drive motor does not fall into interval f, and the vibration frequency of the vibration data of the bearing where the travel wheel is located is greater than the preset frequency, it is determined that the travel wheel is faulty;

[0024] When it is determined that the vibration data of the bearing where the idler wheel is located falls into interval b, the vibration data of the bearing where the travel wheel is located falls into interval c, the working current value of the drive motor does not fall into interval f, and the vibration frequency of the vibration data of the bearing where the travel wheel is located is less than the preset frequency, it is determined that the scraper conveyor pin shaft is faulty.

[0025] In one embodiment, when the coal mining machine fails, determining the location of the failure according to the operation data falling within a preset interval includes:

[0026] When the vibration data of the bearing where the guide sliding shoe is located is always in the interval d within a preset time period, and the sliding shoe temperature is always in the interval e within a preset time period, it is determined that the guide sliding shoe is faulty;

[0027] When the vibration data of the bearing where the guide shoe is located intermittently falls into the interval d within a preset time period, and the shoe temperature intermittently falls into the interval e within a preset time period, it is determined that the walking part shoe guide rail is faulty.

[0028] In one embodiment, judging whether the coal mining machine fails according to the operation data of each target position and the preset interval corresponding to the target position includes:

[0029] When it is determined that the vibration data of the bearing where the driving wheel is located falls into interval a, it is determined that the driving wheel has a fault;

[0030] or

[0031] When it is determined that the vibration data of the bearing where the driving wheel is located falls into interval a, and the vibration data of the bearing where the idler wheel is located falls into interval b, it is determined that the driving wheel is faulty.

[0032] The present application also provides a coal mining machine fault determination system, comprising:

[0033] at least one processor; and,

[0034] a memory communicatively connected to the at least one processor; wherein,

[0035] The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to implement the coal mining machine fault determination method recorded in any one of the above embodiments.

[0036] The present application also provides a computer-readable storage medium, characterized in that when the instructions in the storage medium are executed by a processor corresponding to the coal mining machine fault determination system, the coal mining machine fault determination system can implement the coal mining machine fault determination method recorded in any one of the above embodiments.

[0037] Other features and advantages of the present application will be described in the following description, and partly become apparent from the description, or be understood by practicing the present application. The purpose and other advantages of the present application can be realized and obtained by the structures specifically pointed out in the written description, claims, and drawings.

[0038] The technical solution of the present application is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] The accompanying drawings are used to provide a further understanding of the present application and constitute a part of the specification. Together with the embodiments of the present application, they are used to explain the present application and do not constitute a limitation of the present application. In the accompanying drawings:

[0040] Figure 1 This is a flow chart of a method for determining a coal mining machine fault in one embodiment of the present application;

[0041] Figure 2 This is a flow chart of a method for determining a coal mining machine fault in another embodiment of the present application;

[0042] Figure 3 This is a flow chart of a method for determining a coal mining machine fault in another embodiment of the present application;

[0043] Figure 4 This is a schematic diagram of the principle of the walking part in one embodiment of the present application;

[0044] Figure 5 This is a schematic diagram of the structure of the walking part in one embodiment of the present application;

[0045] Figure 6 This is a schematic diagram of the hardware structure of a coal mining machine fault determination system in one embodiment of the present application. DETAILED DESCRIPTION

[0046] The preferred embodiments of the present application are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present application and are not used to limit the present application.

[0047] Figure 1 Flow chart of a method for determining a coal mining machine fault in one embodiment of the present application. Figure 1 As shown, the method can be implemented as the following steps S11-S15:

[0048] In step S11, during the operation of the coal mining machine, the operation data of each target position of the coal mining machine is obtained;

[0049] In step S12, it is determined whether the operation data of each target position falls within a preset interval corresponding to the target position;

[0050] In step S13, judging whether the coal mining machine fails according to the operation data of each target position and the preset interval corresponding to the target position;

[0051] In step S14, when the coal mining machine fails, the location of the failure is determined according to the operation data falling into the preset interval;

[0052] In step S15, a reminder message is issued according to the location where the fault occurs.

[0053] The execution subject of the present application may be a host computer connected to the coal mining machine. In this embodiment, during the operation of the coal mining machine, the operation data of each target position of the coal mining machine is obtained; specifically, when obtaining the operation data of each target position of the coal mining machine, at least one of the following data of the target position is obtained based on the sensors installed at each target position: vibration data, temperature data and current data. Before a component fails, it will be accompanied by increased vibration, sudden deformation, and abnormal noise. Direct contact parts will also produce abnormal vibrations, so all vibration sensors are installed on bearings that are directly in contact with moving parts. Taking the walking part of a drum coal mining machine as an example, Figure 4 This is a schematic diagram of the principle of the walking part of this application, in which the walking part operates by meshing the moving gear 2-2 with the fixed scraper conveyor pin 2-1 to achieve movement in the working face direction. Due to the influence of the length of the coal mining working face, the number of scraper conveyor pins is extremely large. Installing a vibration sensor at each pin will lead to waste of sensors. Therefore, only the vibration sensor needs to be installed at the bearing where the walking wheel is located. Secondly, when some components fail, temperature abnormalities (such as temperatures higher than the normal temperature range) will occur. For example, when the sliding shoe fails or the sliding shoe guide fails and the friction force increases, the temperature will be higher than the normal temperature range. Therefore, a temperature sensor can be installed on the sliding shoe. In addition, when the driving wheel, idler wheel, walking wheel, and guide sliding shoe fail, the current signal will fluctuate. Therefore, a current sensor can be set to try to measure the working current of the driving motor. In the specific implementation process, only the current sensor can be used to determine whether the coal mining machine has failed. For example, when the current exceeds the interval f, it means that the coal mining machine is abnormal.

[0054] Determine whether the operation data of each target position falls into a preset interval corresponding to the target position; specifically, the research object of the present application is mainly focused on the walking part, so the target position can be the position of at least one of the following components: the position of the driving wheel, the position of the idler wheel, the position of the walking wheel, the position of the guide shoe, and the position of the pin shaft of the scraper conveyor, wherein, Figure 5 This is a schematic diagram of the structure of the walking part of the present application, which includes a walking part 1-1, a walking box 1-2, an electric control box 1-3, and a sliding shoe 1-4. The preset intervals can be set in advance, wherein interval a is the vibration signal value range of the bearing where the driving wheel is located when the driving wheel fails, interval b is the vibration signal value range of the bearing where the idler wheel is located when the idler wheel fails, interval c is the vibration signal value range of the bearing where the walking wheel is located when the walking wheel fails, interval d is the vibration signal value range when the guide sliding shoe fails, interval e is the temperature value range when the guide sliding shoe fails, and interval f is the working current value range when the driving motor is working normally. These preset intervals can be set according to specific equipment and working conditions.

[0055] Whether the coal mining machine has a fault is determined based on the operating data of each target position and the preset interval corresponding to the target position; specifically, when the data collected by the sensor does not fall into the corresponding interval a, b, c, d, e, and the working current value of the driving motor falls into the interval f, it is determined that the coal mining machine has not a fault; otherwise, it is determined that the coal mining machine has a fault.

[0056] When the coal mining machine fails, the location of the failure is determined based on the operating data falling within a preset interval; and a reminder message is issued based on the location of the failure.

[0057] Specifically, when the relationship between the acquired operating data and the corresponding preset interval is: falling into interval "a", not falling into interval "b", not falling into interval "c", not falling into interval "d", not falling into interval "e", and not falling into interval "f", it is determined that at this time "a fault occurs at the driving wheel (i.e., the driving wheel is located), and the idler wheel, the traveling wheel, the scraper conveyor pin shaft, and the guide slip shoe are all normal"; therefore, the upper computer can output a reminder message that "a fault occurs at the driving wheel (i.e., the driving wheel is located), and the idler wheel, the traveling wheel, the scraper conveyor pin shaft, and the guide slip shoe are all normal".

[0058] When the relationship between the acquired operating data and the corresponding preset interval is: falling into interval "a", falling into interval "b", not falling into interval "c", not falling into interval "d", not falling into interval "e", and not falling into interval "f", the result also belongs to the situation of "a fault occurs at the driving wheel (i.e. the driving wheel is located), and the idler wheel, the traveling wheel, the scraper conveyor pin shaft, and the guide slip shoe are all normal"; therefore, the upper computer can output a reminder message of "a fault occurs at the driving wheel (i.e. the driving wheel is located), and the idler wheel, the traveling wheel, the scraper conveyor pin shaft, and the guide slip shoe are all normal".

[0059] When the relationship between the acquired operating data and the corresponding preset interval is: not falling into interval "a", falling into interval "b", not falling into interval "c", not falling into interval "d", not falling into interval "e", and not falling into interval "f"; or when the relationship between the acquired operating data and the corresponding preset interval is: falling into interval "a", falling into interval "b", falling into interval "c", not falling into interval "d", not falling into interval "e", and not falling into interval "f", then it is determined that at this time "a fault occurs at the idler wheel (i.e. the location of the idler wheel), and the driving wheel, the traveling wheel, the scraper conveyor pin shaft, and the guide slip shoe are all normal"; therefore, the upper computer can output a reminder message that "a fault occurs at the idler wheel (i.e. the location of the idler wheel), and the driving wheel, the traveling wheel, the scraper conveyor pin shaft, and the guide slip shoe are all normal".

[0060] When the relationship between the acquired operating data and the corresponding preset interval is: not falling into interval "a", not falling into interval "b", falling into interval "c", not falling into interval "d", not falling into interval "e", and not falling into interval "f"; or when the relationship between the acquired operating data and the corresponding preset interval is: not falling into interval "a", falling into interval "b", falling into interval "c", not falling into interval "d", not falling into interval "e", and not falling into interval "f", then it is determined that "a fault occurs at the walking wheel (i.e. the location where the walking wheel is located), and the driving wheel, idler wheel, scraper conveyor pin shaft, and guide slipper are all normal"; therefore, the upper computer can output a reminder message that "a fault occurs at the walking wheel (i.e. the location where the walking wheel is located), and the driving wheel, idler wheel, scraper conveyor pin shaft, and guide slipper are all normal".

[0061] Furthermore, when a fault occurs at the walking wheel, it is possible to further determine whether the walking wheel or the scraper conveyor pin shaft has a fault based on the size of the vibration data of the bearing where the walking wheel is located. Specifically, when it is determined that the vibration data of the bearing where the idler wheel is located falls into interval b, the vibration data of the bearing where the walking wheel is located falls into interval c, the working current value of the drive motor does not fall into interval f, and the vibration frequency of the vibration data of the bearing where the walking wheel is located is greater than the preset frequency, it is determined that the walking wheel has a fault; when it is determined that the vibration data of the bearing where the idler wheel is located falls into interval b, the vibration data of the bearing where the walking wheel is located falls into interval c, the working current value of the drive motor does not fall into interval f, and the vibration frequency of the vibration data of the bearing where the walking wheel is located is less than the preset frequency, it is determined that the scraper conveyor pin shaft has a fault.

[0062] When the relationship between the acquired operating data and the corresponding preset interval is: not falling into interval "a", not falling into interval "b", not falling into interval "c", falling into interval "d", falling into interval "e", and not falling into interval "f", it is determined that at this time "a fault occurs at the guide slipper (i.e., the location where the guide slipper is located), and the drive wheel, idler wheel, travel wheel, and scraper conveyor pin are all normal"; therefore, the upper computer can output a reminder message that "a fault occurs at the guide slipper (i.e., the location where the guide slipper is located), and the drive wheel, idler wheel, travel wheel, and scraper conveyor pin are all normal."

[0063] When a fault occurs at the guide slipper, it is possible to further determine whether the guide slipper or the walking part slipper rail is at fault based on the vibration data of the bearing where the guide slipper is located and the slipper temperature. Specifically, when the vibration data of the bearing where the guide slipper is located is always in the interval d within the preset time period, and the slipper temperature is always in the interval e within the preset time period, it is determined that the guide slipper is at fault; when the vibration data of the bearing where the guide slipper is located intermittently falls into the interval d within the preset time period, and the slipper temperature intermittently falls into the interval e within the preset time period, it is determined that the walking part slipper rail is at fault.

[0064] It should be noted that the falling into interval "a", not falling into interval "a", falling into interval "b", not falling into interval "b", falling into interval "c", not falling into interval "c", not falling into interval "d", falling into interval "d", falling into interval "e", not falling into interval "e", falling into interval "f" and not falling into interval "f" involved in this article all refer to whether the operating data collected by the sensor corresponding to the interval falls into the corresponding interval. For example, not falling into interval "a" involved in this application means that the vibration signal of the bearing where the driving wheel is located does not fall into interval "a", and falling into interval "a" also means that the vibration signal of the bearing where the driving wheel is located falls into interval "a"; similarly, not falling into interval "b" involved in this application means that the vibration signal of the bearing where the idler wheel is located does not fall into interval "b", and falling into interval "b" also means The vibration signal of the bearing where the idler wheel is located falls into interval "b"; not falling into interval "c" involved in this application means that the vibration signal of the bearing where the walking wheel is located does not fall into interval "c", and falling into interval "c" also means that the vibration signal of the bearing where the walking wheel is located falls into interval "c"; not falling into interval "d" involved in this application means that the vibration signal of the guide shoe does not fall into interval "d", and falling into interval "d" also means that the vibration signal of the guide shoe falls into interval "d"; not falling into interval "e" involved in this application means that the temperature of the guide shoe does not fall into interval "e", and falling into interval "e" also means that the temperature of the guide shoe falls into interval "e"; not falling into interval "f" involved in this application means that the working current of the drive motor does not fall into interval "f", and falling into interval "f" also means that the working current of the drive motor falls into interval "f".

[0065] The beneficial effects of the present application are that: the operating data of each target position of the coal mining machine can be obtained during the operation of the coal mining machine; then, whether the coal mining machine has a fault is determined based on the operating data of each target position and the preset interval corresponding to the target position; when the coal mining machine fails, the location of the fault is determined based on the operating data falling into the preset interval; thereby, the specific location of the coal mining machine failure can be automatically located, and a reminder message can be issued based on the location of the failure to remind maintenance personnel of the specific location of the failure, eliminating the need for maintenance personnel to manually locate the specific location of the failure, thereby improving maintenance efficiency.

[0066] In one embodiment, the above step S11 can be implemented as the following steps:

[0067] At least one of the following data of the target location is obtained according to the sensors installed at each target location:

[0068] Vibration data, temperature data and current data.

[0069] In one embodiment, the target location is the location of at least one of the following components:

[0070] The location of the drive wheel, the location of the idler wheel, the location of the travel wheel, the location of the guide shoe, and the location of the scraper conveyor pin.

[0071] In one embodiment, the method can also be implemented as the following steps:

[0072] Obtaining preset intervals corresponding to each preset target position;

[0073] Among them, interval a is the vibration signal value range of the bearing where the driving wheel is located when a fault occurs, interval b is the vibration signal value range of the bearing where the idler wheel is located when a fault occurs, interval c is the vibration signal value range of the bearing where the walking wheel is located when a fault occurs, interval d is the vibration signal value range when the guide shoe fails, interval e is the temperature value range when the guide shoe fails, and interval f is the working current value range when the drive motor works normally.

[0074] In one embodiment, the above step S13 determines whether the coal mining machine fails according to the operation data of each target position and the preset interval corresponding to the target position, including:

[0075] When the data collected by the sensor does not fall into the corresponding intervals a, b, c, d, e, and the working current value of the drive motor falls into the interval f, it is determined that the coal mining machine has not failed; otherwise, it is determined that the coal mining machine has failed.

[0076] In one embodiment, Figure 2 As shown, the above step S14 can be implemented as the following steps S21-S22:

[0077] In step S21, when it is determined that the vibration data of the bearing where the idler wheel is located falls into interval b, the vibration data of the bearing where the travel wheel is located falls into interval c, the working current value of the drive motor does not fall into interval f, and the vibration frequency of the vibration data of the bearing where the travel wheel is located is greater than a preset frequency, it is determined that the travel wheel is faulty;

[0078] In step S22, when it is determined that the vibration data of the bearing where the idler wheel is located falls into interval b, the vibration data of the bearing where the travel wheel is located falls into interval c, the working current value of the drive motor does not fall into interval f, and the vibration frequency of the vibration data of the bearing where the travel wheel is located is less than the preset frequency, it is determined that the scraper conveyor pin shaft is faulty.

[0079] In this embodiment, when the relationship between the acquired operating data and the corresponding preset interval is: not falling into interval "a", not falling into interval "b", falling into interval "c", not falling into interval "d", not falling into interval "e", and not falling into interval "f"; or when the relationship between the acquired operating data and the corresponding preset interval is: not falling into interval "a", falling into interval "b", falling into interval "c", not falling into interval "d", not falling into interval "e", and not falling into interval "f", it is determined that at this time "a fault occurs at the walking wheel (i.e., the location where the walking wheel is located), and the driving wheel, idler wheel, scraper conveyor pin shaft, and guide slipper are all normal"; therefore, the upper computer can output a reminder message that "a fault occurs at the walking wheel (i.e., the location where the walking wheel is located), and the driving wheel, idler wheel, scraper conveyor pin shaft, and guide slipper are all normal". In this embodiment, when a fault occurs at the walking wheel, it is possible to further determine whether the walking wheel or the scraper conveyor pin shaft has a fault based on the size of the vibration data of the bearing where the walking wheel is located. Specifically, when it is determined that the vibration data of the bearing where the idler wheel is located falls into interval b, the vibration data of the bearing where the walking wheel is located falls into interval c, the working current value of the drive motor does not fall into interval f, and the vibration frequency of the vibration data of the bearing where the walking wheel is located is greater than the preset frequency, it is determined that the walking wheel has a fault; when it is determined that the vibration data of the bearing where the idler wheel is located falls into interval b, the vibration data of the bearing where the walking wheel is located falls into interval c, the working current value of the drive motor does not fall into interval f, and the vibration frequency of the vibration data of the bearing where the walking wheel is located is less than the preset frequency, it is determined that the scraper conveyor pin shaft has a fault.

[0080] In one embodiment, Figure 3 As shown, the above step S14 can be implemented as the following steps S31-S32:

[0081] In step S31, when the vibration data of the bearing where the guide sliding shoe is located is always in the interval d within a preset time period, and the sliding shoe temperature is always in the interval e within a preset time period, it is determined that the guide sliding shoe is faulty;

[0082] In step S32, when the vibration data of the bearing where the guide shoe is located intermittently falls into the interval d within a preset time period, and the shoe temperature intermittently falls into the interval e within a preset time period, it is determined that the walking part shoe guide rail is faulty.

[0083] When the relationship between the acquired operating data and the corresponding preset interval is: not falling into interval "a", not falling into interval "b", not falling into interval "c", falling into interval "d", falling into interval "e", and not falling into interval "f", it is determined that at this time "a fault occurs at the guide slipper (i.e., the location where the guide slipper is located), and the drive wheel, idler wheel, travel wheel, and scraper conveyor pin are all normal"; therefore, the upper computer can output a reminder message that "a fault occurs at the guide slipper (i.e., the location where the guide slipper is located), and the drive wheel, idler wheel, travel wheel, and scraper conveyor pin are all normal." In the present embodiment, when a fault occurs at the guide slipper, it is possible to further determine whether the guide slipper or the walking part slipper rail has a fault based on the vibration data of the bearing where the guide slipper is located and the slipper temperature. Specifically, when the vibration data of the bearing where the guide slipper is located is always in the interval d within a preset time period, and the slipper temperature is always in the interval e within the preset time period, it is determined that the guide slipper has a fault; when the vibration data of the bearing where the guide slipper is located intermittently falls into the interval d within the preset time period, and the slipper temperature intermittently falls into the interval e within the preset time period, it is determined that the walking part slipper rail has a fault.

[0084] In one embodiment, the above step S14 can be implemented as the following steps A1 or A2:

[0085] In step A1, when it is determined that the vibration data of the bearing where the driving wheel is located falls into interval a, it is determined that the driving wheel has a fault;

[0086] In step A2, when it is determined that the vibration data of the bearing where the driving wheel is located falls into interval a, and the vibration data of the bearing where the idler wheel is located falls into interval b, it is determined that the driving wheel is faulty.

[0087] In this embodiment, when the relationship between the acquired operation data and the corresponding preset interval is: falling into interval "a", not falling into interval "b", not falling into interval "c", not falling into interval "d", not falling into interval "e", and not falling into interval "f", it is determined that "a fault occurs at the driving wheel (i.e., the location of the driving wheel), and the idler wheel, the walking wheel, the scraper conveyor pin, and the guide shoe are all normal"; in addition, when the relationship between the acquired operation data and the corresponding preset interval is: falling into interval The results of falling into interval "a", falling into interval "b", not falling into interval "c", not falling into interval "d", not falling into interval "e", and not falling into interval "f" also belong to the situation where "a fault occurs at the driving wheel (i.e. the driving wheel is located), and the idler wheel, traveling wheel, scraper conveyor pin shaft, and guide slipper are all normal". Therefore, when this situation occurs, it is also determined that "a fault occurs at the driving wheel (i.e. the driving wheel is located), and the idler wheel, traveling wheel, scraper conveyor pin shaft, and guide slipper are all normal".

[0088] It should be noted that in this application, when the operating data falls into the corresponding interval, further fault analysis can be performed. Specifically, the operating data can be analyzed in the frequency domain, amplitude, extreme value, and abnormal point. The fault level can be determined based on the specific analysis. For example, the fault level can be determined based on at least the following methods:

[0089] Strain gauge: The greater the deformation of the tooth, the more serious the fault and the higher the fault level;

[0090] Temperature: The higher the temperature, the more serious the fault and the higher the fault level;

[0091] Vibration data: The larger the amplitude, the more serious the fault and the higher the fault level;

[0092] Current signal: The larger the current, the more serious the fault and the higher the fault level.

[0093] Figure 6 This is a hardware structure diagram of a coal mining machine fault determination system in one embodiment of the present application, including:

[0094] at least one processor 620; and,

[0095] A memory 604 is communicatively connected to the at least one processor; wherein,

[0096] The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to implement the coal mining machine fault determination method recorded in any one of the above embodiments.

[0097] Reference Figure 6 The coal mining machine fault determination system 600 may include one or more of the following components: a processing component 602, a memory 604, a power component 606, a multimedia component 608, an audio component 610, an input / output (I / O) interface 612, a sensor component 614, and a communication component 616.

[0098] The processing component 602 generally controls the overall operation of the coal mining machine fault determination system 600. The processing component 602 may include one or more processors 620 to execute instructions to complete all or part of the steps of the above method. In addition, the processing component 602 may include one or more modules to facilitate the interaction between the processing component 602 and other components. For example, the processing component 602 may include a multimedia module to facilitate the interaction between the multimedia component 608 and the processing component 602.

[0099] The memory 604 is configured to store various types of data to support the operation of the coal mining machine fault determination system 600. Examples of such data include instructions for any application or method operating on the coal mining machine fault determination system 600, such as text, pictures, videos, etc. The memory 604 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk.

[0100] The power supply component 606 provides power to the various components of the shearer fault determination system 600. The power supply component 606 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power to the shearer fault determination system 600.

[0101] The multimedia component 608 includes a screen that provides an output interface between the coal mining machine fault determination system 600 and the user. In some embodiments, the screen may include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive input signals from the user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor can not only sense the boundaries of the touch or slide action, but also detect the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 608 may also include a front camera and / or a rear camera. When the coal mining machine fault determination system 600 is in an operating mode, such as a shooting mode or a video mode, the front camera and / or the rear camera can receive external multimedia data. Each front camera and rear camera can be a fixed optical lens system or have a focal length and optical zoom capability.

[0102] The audio component 610 is configured to output and / or input audio signals. For example, the audio component 610 includes a microphone (MIC), and when the coal mining machine fault determination system 600 is in an operation mode, such as an alarm mode, a recording mode, a voice recognition mode, and a voice output mode, the microphone is configured to receive an external audio signal. The received audio signal can be further stored in the memory 604 or sent via the communication component 616. In some embodiments, the audio component 610 also includes a speaker for outputting audio signals.

[0103] I / O interface 612 provides an interface between processing component 602 and peripheral interface modules, such as keyboards, click wheels, buttons, etc. These buttons may include but are not limited to: a home button, a volume button, a start button, and a lock button.

[0104] The sensor assembly 614 includes one or more sensors for providing various aspects of the state assessment of the coal mining machine fault determination system 600. For example, the sensor assembly 614 may include an acoustic sensor. In addition, the sensor assembly 614 may detect the open / closed state of the coal mining machine fault determination system 600, the relative positioning of components, such as the display and keypad of the coal mining machine fault determination system 600, the sensor assembly 614 may also detect the operating state of the coal mining machine fault determination system 600 or a component of the coal mining machine fault determination system 600, such as the operating state of the air distribution plate, the structural state, the operating state of the discharge scraper, etc., the coal mining machine fault determination system 600 orientation or acceleration / deceleration and the temperature change of the coal mining machine fault determination system 600. The sensor assembly 614 may include a proximity sensor configured to detect the presence of a nearby object without any physical contact. The sensor assembly 614 may also include an optical sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 614 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, a material stack thickness sensor, or a temperature sensor.

[0105] The communication component 616 is configured to enable the coal mining machine fault determination system 600 to provide the ability to communicate with other devices and cloud platforms in a wired or wireless manner. The coal mining machine fault determination system 600 can access a wireless network based on a communication standard, such as WiFi, 2G or 3G, or a combination thereof. In an exemplary embodiment, the communication component 616 receives a broadcast signal or broadcast-related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 616 also includes a near field communication (NFC) module to facilitate short-range communication. For example, the NFC module can be implemented based on radio frequency identification (RFID) technology, infrared data association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology and other technologies.

[0106] In an exemplary embodiment, the coal mining machine fault determination system 600 can be implemented by one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors or other electronic components to execute the coal mining machine fault determination method described in any of the above embodiments.

[0107] The present application also provides a computer-readable storage medium, characterized in that when the instructions in the storage medium are executed by a processor corresponding to the coal mining machine fault determination system, the coal mining machine fault determination system can implement the coal mining machine fault determination method recorded in any one of the above embodiments.

[0108] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage and optical storage, etc.) that contain computer-usable program code.

[0109] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0110] These computer program instructions may also be stored in a computer readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0111] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0112] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is also intended to include these modifications and variations.

Claims

1. A method for determining a coal mining machine fault, characterized in that: include: During the operation of the coal mining machine, the operation data of each target position of the coal mining machine is obtained; Determining whether the operation data of each target position falls within a preset interval corresponding to the target position; Determining whether the coal mining machine has a fault according to the operation data of each target position and the preset interval corresponding to the target position; When the coal mining machine fails, the location of the failure is determined according to the operation data falling within a preset interval; Send out reminder information based on the location of the fault; The method further comprises: Obtaining preset intervals corresponding to each preset target position; Among them, interval a is the vibration signal value range of the bearing where the driving wheel is located when the driving wheel fails, interval b is the vibration signal value range of the bearing where the idler wheel is located when the idler wheel fails, interval c is the vibration signal value range of the bearing where the walking wheel is located when the walking wheel fails, interval d is the vibration signal value range when the guide shoe fails, interval e is the temperature value range when the guide shoe fails, and interval f is the working current value range when the driving motor is working normally; When the coal mining machine fails, the location of the failure is determined according to the operation data falling within the preset interval, including: When it is determined that the vibration data of the bearing where the idler wheel is located falls into interval b, the vibration data of the bearing where the travel wheel is located falls into interval c, the working current value of the drive motor does not fall into interval f, and the vibration frequency of the vibration data of the bearing where the travel wheel is located is greater than the preset frequency, it is determined that the travel wheel is faulty; When it is determined that the vibration data of the bearing where the idler wheel is located falls into interval b, the vibration data of the bearing where the travel wheel is located falls into interval c, the working current value of the drive motor does not fall into interval f, and the vibration frequency of the vibration data of the bearing where the travel wheel is located is less than the preset frequency, it is determined that the scraper conveyor pin shaft is faulty.

2. The method according to claim 1, characterized in that Obtain operating data for each target location of the shearer, including: At least one of the following data of the target location is obtained according to the sensors installed at each target location: Vibration data, temperature data and current data.

3. The method according to claim 1, characterized in that The target location is the location of at least one of the following components: The location of the drive wheel, the location of the idler wheel, the location of the travel wheel, the location of the guide shoe, and the location of the scraper conveyor pin.

4. The method according to claim 1, characterized in that When the coal mining machine fails, the location of the failure is determined according to the operation data falling within the preset interval, including: When the vibration data of the bearing where the guide sliding shoe is located is always in the interval d within a preset time period, and the sliding shoe temperature is always in the interval e within a preset time period, it is determined that the guide sliding shoe is faulty; When the vibration data of the bearing where the guide shoe is located intermittently falls into the interval d within a preset time period, and the shoe temperature intermittently falls into the interval e within a preset time period, it is determined that the walking part shoe guide rail is faulty.

5. The method according to claim 1, characterized in that Determining whether the coal mining machine fails according to the operation data of each target position and the preset interval corresponding to the target position includes: When it is determined that the vibration data of the bearing where the driving wheel is located falls into interval a, it is determined that the driving wheel has a fault; or When it is determined that the vibration data of the bearing where the driving wheel is located falls into interval a, and the vibration data of the bearing where the idler wheel is located falls into interval b, it is determined that the driving wheel is faulty.

6. A coal mining machine fault determination system, characterized in that: include: at least one processor; as well as, a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to implement the coal mining machine fault determination method as described in any one of claims 1-5.

7. A computer-readable storage medium, characterized in that: When the instructions in the storage medium are executed by a processor corresponding to the coal mining machine fault determination system, the coal mining machine fault determination system can implement the coal mining machine fault determination method as described in any one of claims 1-5.

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