Intelligent monitoring method and system for continuous miner and electronic device

Abstract

The application provides a continuous miner intelligent supervision method and system and an electronic device, and realizes automatic judgment of the running state of the current continuous miner by acquiring the standard drum speed signal of the drum cutter group under the duty cycle of each drum motor, the actual speed signal, the real-time oil inlet amount of the hydraulic cylinder of the continuous miner drum cutter group and algorithm design, realizes intelligent supervision of the running state of the continuous miner, can take different coping strategies according to the current running state of the coal machine, greatly improves the safety degree, the intelligent degree and the automation degree of the continuous miner, reduces the loss of each component in the coal mining process of the continuous miner, and greatly improves the intelligent degree of the application.

Description

Technical Field

[0001] This invention relates to the field of intelligent monitoring technology for continuous coal mining machines, specifically to an intelligent monitoring method, system, and electronic equipment for continuous coal mining machines. Background Technology

[0002] my country has abundant recoverable coal seam reserves with relatively stable storage conditions and good coal quality. In recent years, the intensity of coal seam mining has gradually increased. With the development of science and technology, unmanned or minimally manned coal mining faces will be an inevitable trend in future coal mining technology. In summary, to improve the automation and intelligence level of mining equipment, continuous coal mining machines need to be improved to possess highly intelligent and efficient automatic cutting functions. Current technologies lack intelligent monitoring of the continuous coal mining machine's operating status and lack technical solutions for automatically judging the current operating status. They are unable to adopt different response strategies based on the current operating status of the continuous coal mining machine. Therefore, in existing technologies, the cutting process of continuous coal mining machines has low safety and causes significant wear and tear on various components during the coal mining process.

[0003] Therefore, existing technologies need further development. Summary of the Invention

[0004] The purpose of this invention is to overcome the above-mentioned technical deficiencies and provide a method, system and electronic equipment for intelligent monitoring of continuous coal mining machines, so as to solve the problems existing in the prior art.

[0005] To achieve the above-mentioned technical objectives, according to a first aspect of the present invention, a method for intelligent monitoring of a continuous coal mining machine is provided, the method comprising:

[0006] A magnetoelectric speed sensor installed on the standard continuous coal mining machine's drum cutter group is used to detect the standard drum speed signal of the cutter group under each drum motor duty cycle through a detection cycle sequence. The signal is analyzed to obtain the standard drum speed data under each drum motor duty cycle. Based on the standard drum speed data under each drum motor duty cycle, a standard mapping function between the duty cycle and the standard drum speed data is calculated. During the continuous coal mining machine's operation, the actual speed signal from the magnetoelectric speed sensor is acquired according to the first monitoring cycle, and the actual speed data is obtained through analysis. The current standard speed data is calculated based on the standard mapping function. The continuous coal mining machine's speed is then calculated based on the oil inlet of the hydraulic cylinders of the drum cutter group at this time. The standard feed rate, it should be noted, can be calculated from the oil intake of the hydraulic cylinder of the drum cutter assembly. This can be achieved by calculating the oil intake and drum diameter of the continuous coal mining machine, or by adding a displacement sensor in the drum cylinder. The standard feed rate can be calculated using this displacement sensor, and the actual feed rate can be calculated using the displacement sensor on the drum cutter assembly. This displacement sensor can be an absolute encoder. Based on the standard speed data, actual speed data, standard feed rate, and actual feed rate, the operating status of the continuous coal mining machine is determined, and a signal related to the operating status is output.

[0007] Specifically, determining the operating status of the continuous coal mining machine based on standard rotational speed data, actual rotational speed data, standard feed rate, and actual feed rate includes:

[0008] The speed difference data is calculated based on the standard speed data and the actual speed data. The feed rate difference data is judged based on the standard feed rate and the actual feed rate. It is then judged whether the speed difference data is greater than or equal to the first preset threshold. If the speed difference data is greater than or equal to the first preset threshold, it is then judged whether the feed rate difference data is greater than or equal to the second preset threshold. Based on the judgment result, a signal about the operating status of the continuous coal mining machine at this time is output.

[0009] Specifically, the step of outputting a signal regarding the current operating status of the continuous coal mining machine based on the judgment result includes:

[0010] If the feed rate difference is greater than or equal to the second preset threshold, the duty cycle of the drum motor of the continuous coal mining machine is reduced by the first preset ratio.

[0011] Specifically, the signals output based on the judgment result regarding the current operating status of the continuous coal mining machine also include:

[0012] If the difference in feed rate is less than the second preset threshold, an early warning signal is output regarding the abnormally low roller speed at this time.

[0013] Specifically, the step of determining whether the rotational speed difference data is greater than or equal to a first preset threshold also includes:

[0014] While determining whether the speed difference data is greater than or equal to the first preset threshold, it also determines whether the speed difference data is greater than or equal to the third preset threshold. If the speed difference data is greater than or equal to the third preset threshold, an alarm signal indicating that the drum speed is abnormally high is output, and the duty cycle of the drum motor of the continuous coal mining machine is reduced according to the second preset ratio.

[0015] Specifically, the step of determining whether the feed rate difference data is greater than or equal to the second preset threshold also includes:

[0016] While determining whether the feed rate difference data is greater than or equal to the second preset threshold, it also determines whether the feed rate difference data is greater than or equal to the fourth preset threshold. If the feed rate difference data is greater than or equal to the fourth preset threshold, an alarm signal related to the continuous coal mining machine encountering an obstacle is output, and the duty cycle of the drum motor is reduced according to the third preset ratio.

[0017] Specifically, the step of outputting a signal regarding the current operating status of the continuous coal mining machine based on the judgment result also includes:

[0018] When the speed difference data is less than the first preset threshold, it is determined whether the feed rate difference data is greater than or equal to the second preset threshold. If the feed rate difference data is greater than or equal to the second preset threshold, an early warning signal about the mechanical fault of the drum cutter group is output.

[0019] Specifically, the step of determining whether the feed rate difference data is greater than or equal to the second preset threshold also includes:

[0020] If the difference in feed rate is less than the second preset threshold, a signal related to the normal operation of the continuous coal mining machine will be output.

[0021] According to a second aspect of the present invention, a continuous coal mining machine intelligent monitoring system is provided, comprising:

[0022] The acquisition module includes a magnetoelectric speed sensor installed on the standard continuous coal mining machine drum cutter group and a displacement sensor installed on the continuous coal mining machine drum cutter group. The acquisition module is used to acquire the standard drum speed signal and the actual speed signal of the drum cutter group under the duty cycle of each drum motor, or to acquire the oil inlet of the hydraulic cylinder of the continuous coal mining machine drum cutter group at this time.

[0023] The control module is used to acquire the standard drum speed signal of the drum cutter group under each drum motor duty cycle by using the magnetoelectric speed sensor installed on the standard continuous coal mining machine drum cutter group to detect the periodic sequence, analyze the signal to obtain the standard drum speed data under each drum motor duty cycle, calculate the standard mapping function between the duty cycle and the standard drum speed data based on the standard drum speed data under each drum motor duty cycle, acquire the actual speed signal of the magnetoelectric speed sensor according to the first monitoring cycle and analyze it to obtain the actual speed data, calculate the current standard speed data according to the standard mapping function, calculate the standard feed amount of the continuous coal mining machine based on the oil inlet of the hydraulic cylinder of the continuous coal mining machine drum cutter group at this time, calculate the actual feed amount based on the displacement sensor installed on the continuous coal mining machine drum cutter group, determine the operating status of the continuous coal mining machine at this time based on the standard speed data, actual speed data, standard feed amount and actual feed amount, and control the alarm module to output signals related to the operating status;

[0024] The alarm module is used to output signals related to the operating status.

[0025] According to a third aspect of the present invention, an electronic device is provided, comprising:

[0026] A memory; and a processor, wherein the memory stores computer-readable instructions that, when executed by the processor, implement the intelligent monitoring method for continuous coal mining machines according to any one of claims 1 to 8.

[0027] The beneficial effects of this invention are:

[0028] This invention proposes a technical solution that can automatically determine the current operating status of a continuous coal mining machine, realizing intelligent monitoring of the machine's operating status. Different response strategies can be adopted based on the machine's current operating status, greatly improving the safety, intelligence, and automation of the continuous coal mining machine, and reducing the wear and tear of various components during the coal mining process. Attached Figure Description

[0029] Figure 1 This is a flowchart of the intelligent monitoring method for continuous coal mining machines provided in a specific embodiment of the present invention;

[0030] Figure 2 This is a schematic diagram of the intelligent monitoring system for continuous coal mining machines provided in a specific embodiment of the present invention. Detailed Implementation

[0031] To enable those skilled in the art to better understand the technical solutions of the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings. Based on the embodiments in this application, other similar embodiments obtained by those skilled in the art without creative effort should all fall within the scope of protection of this application. Furthermore, directional terms mentioned in the following embodiments, such as "up," "down," "left," and "right," are only for reference to the directions in the accompanying drawings; therefore, the directional terms used are for illustrative purposes and not for limiting the invention.

[0032] The present invention will be further described below with reference to the accompanying drawings and preferred embodiments.

[0033] Please see Figure 1 This embodiment provides an intelligent monitoring method for continuous coal mining machines, the method comprising:

[0034] S100: The standard drum speed signal of the drum cutter group under the duty cycle of each drum motor is obtained by using a magnetoelectric speed sensor installed on the drum cutter group of the standard continuous coal mining machine to detect the periodic sequence.

[0035] It should be noted that before step S100, the following parameters are included: a preset first monitoring period, a first preset threshold, a second preset threshold, a third preset threshold, a fourth preset threshold, a first preset ratio, a second preset ratio, and a third preset ratio. The third preset ratio is greater than the second preset ratio, the second preset ratio is greater than the first preset ratio, the third preset threshold is greater than the first preset threshold, and the fourth preset threshold is greater than the second preset threshold.

[0036] S200: Analyze the signal to obtain the standard drum speed data under each drum motor duty cycle, and calculate the standard mapping function between the duty cycle and the standard drum speed data based on the standard drum speed data under each drum motor duty cycle.

[0037] It should be noted that the above steps are for collecting the operating parameters of the continuous coal mining machine under standard conditions. When collecting the operating parameters of the continuous coal mining machine under standard conditions, the continuous coal mining machine moves normally but does not cut the coal seam, so as to avoid the interference of the coal seam on the measurement results. This provides a standard data basis for judging the actual operating status of the continuous coal mining machine, and further improves the intelligence level and reliability of the analysis results of the present invention.

[0038] S300: During the operation of the continuous coal mining machine, the actual speed signal of the magnetoelectric speed sensor is acquired according to the first monitoring cycle and the actual speed data is obtained by parsing. The current standard speed data is calculated according to the standard mapping function.

[0039] S400: Calculate the standard feed rate of the continuous coal mining machine based on the oil inlet of the hydraulic cylinder of the continuous coal mining machine drum cutter group at this time, and calculate the actual feed rate based on the displacement sensor installed on the continuous coal mining machine drum cutter group.

[0040] S500 determines the operating status of the continuous coal mining machine based on standard speed data, actual speed data, standard feed rate, and actual feed rate, and outputs signals related to the operating status.

[0041] It should be noted here that the process of determining the operating status of the continuous coal mining machine based on standard rotational speed data, actual rotational speed data, standard feed rate, and actual feed rate, and outputting signals related to the operating status, includes:

[0042] The speed difference data is calculated based on the standard speed data and the actual speed data. The feed rate difference data is judged based on the standard feed rate and the actual feed rate. It is then judged whether the speed difference data is greater than or equal to the first preset threshold. If the speed difference data is greater than or equal to the first preset threshold, it is then judged whether the feed rate difference data is greater than or equal to the second preset threshold. Based on the judgment result, a signal about the operating status of the continuous coal mining machine at this time is output.

[0043] It should be noted that when the continuous coal mining machine is working normally, the speed difference data of the drum speed of the cutting blade group of the continuous coal mining machine should be within a reasonable range. That is, when the speed difference data of the cutting blade group of the continuous coal mining machine is greater than or equal to the first preset threshold, the speed difference data of the drum speed of the cutting blade group of the continuous coal mining machine is within an unreasonable range, and the cause of this phenomenon needs to be further determined.

[0044] Specifically, the step of determining whether the rotational speed difference data is greater than or equal to a first preset threshold also includes:

[0045] While determining whether the speed difference data is greater than or equal to the first preset threshold, it also determines whether the speed difference data is greater than or equal to the third preset threshold. If the speed difference data is greater than or equal to the third preset threshold, an alarm signal indicating that the drum speed is abnormally high is output, and the duty cycle of the drum motor of the continuous coal mining machine is reduced according to the second preset ratio.

[0046] It should be noted that, while determining whether the speed difference data is greater than or equal to the first preset threshold, it is also determined whether the speed difference data is greater than or equal to the third preset threshold. If the speed difference data is greater than or equal to the third preset threshold, it is determined that the drum speed is abnormally high at this time. An alarm signal is output regarding the high degree of abnormality of the drum speed at this time, and the duty cycle of the drum motor of the continuous coal mining machine is reduced according to the second preset ratio. This realizes intelligent speed reduction of the drum motor and reminds relevant personnel to handle the situation. This further improves the intelligence and safety of the present invention and reduces the wear and tear of various components in the continuous coal mining machine during the coal mining process.

[0047] Specifically, the step of outputting a signal regarding the current operating status of the continuous coal mining machine based on the judgment result also includes:

[0048] When the speed difference data is less than the first preset threshold, it is determined whether the feed rate difference data is greater than or equal to the second preset threshold. If the feed rate difference data is greater than or equal to the second preset threshold, an early warning signal about the mechanical fault of the drum cutter group is output.

[0049] It should be noted that when the speed difference data is less than the first preset threshold, it indicates that the speed difference data is normal and the drum motor is not abnormal. If the feed difference data is greater than or equal to the second preset threshold, it indicates that the feed difference data is greater than the reasonable range due to a mechanical failure of the drum cutter group. At this time, an early warning signal about the mechanical failure of the drum cutter group is output to inform the on-site personnel, which further improves the safety of the invention, further reduces the wear and tear of various components in the continuous coal mining process, solves the potential safety hazards caused by the mechanical failure of the drum cutter group, and greatly expands the application space of the invention.

[0050] Specifically, the step of determining whether the feed rate difference data is greater than or equal to the second preset threshold also includes:

[0051] If the difference in feed rate is less than the second preset threshold, a signal related to the normal operation of the continuous coal mining machine will be output.

[0052] Specifically, the step of outputting a signal regarding the current operating status of the continuous coal mining machine based on the judgment result includes:

[0053] It should be noted that if the feed rate difference data is less than the second preset threshold and the rotation speed interpolation data is less than the first preset threshold, then a signal related to the normal operation of the continuous coal mining machine is output, which further improves the intelligence level of the present invention.

[0054] If the feed rate difference is greater than or equal to the second preset threshold, the duty cycle of the drum motor of the continuous coal mining machine is reduced by the first preset ratio.

[0055] It should be noted that if the speed difference data is greater than or equal to the first preset threshold and the feed rate difference data is greater than or equal to the second preset threshold, it indicates that there may be obstacles such as coal gangue on the running path of the continuous coal mining machine. In this case, the duty cycle of the drum motor of the continuous coal mining machine is reduced by the first preset ratio to reduce the drum speed, allowing the continuous coal mining machine to cut the obstacles such as coal gangue at a low speed. This reduces the vibration of the machine body caused by cutting coal gangue, further improving the intelligence and safety of the invention, and reducing the wear and tear of various components during the cutting process of the continuous coal mining machine.

[0056] Specifically, the signals output based on the judgment result regarding the current operating status of the continuous coal mining machine also include:

[0057] If the difference in feed rate is less than the second preset threshold, an early warning signal is output regarding the abnormally low roller speed at this time.

[0058] It should be noted that when the feed rate difference is less than the second preset threshold, it indicates that there is no abnormality in the mechanical components of the drum cutter group. At this time, if the speed difference is greater than or equal to the first preset threshold, it may be due to the aging of the drum motor or the abnormality of the electronic components. In this case, an early warning signal about the low degree of abnormality in the drum speed is output to notify the relevant personnel, which further improves the intelligence level of the invention and the reliability of the analysis results.

[0059] Specifically, the step of determining whether the feed rate difference data is greater than or equal to the second preset threshold also includes:

[0060] While determining whether the feed rate difference data is greater than or equal to the second preset threshold, it also determines whether the feed rate difference data is greater than or equal to the fourth preset threshold. If the feed rate difference data is greater than or equal to the fourth preset threshold, an alarm signal related to the continuous coal mining machine encountering an obstacle is output, and the duty cycle of the drum motor is reduced according to the third preset ratio.

[0061] It should be noted that when the feed rate difference is greater than or equal to the fourth preset threshold, it can be determined that the continuous coal mining machine is definitely obstructed by obstacles such as large coal gangue. At this time, it is necessary to further reduce the duty cycle of the drum motor so that the continuous coal mining machine can cut the obstacles at a lower speed, thereby reducing the potential damage to various components during the cutting process of the continuous coal mining machine.

[0062] This invention simplifies the complex problem of intelligent monitoring of continuous coal mining machines through ingenious design, eliminating the need for complex algorithm modeling and significantly reducing the production and maintenance costs. The invention's technical solution, which automatically determines the current operating status of the continuous coal mining machine, achieves intelligent monitoring of its operation. Different response strategies can be adopted based on the machine's current operating status, greatly improving the safety, intelligence, and automation of the continuous coal mining machine. It also reduces the wear and tear on various components during the coal mining process, significantly expanding the application scenarios of this invention.

[0063] Please see Figure 2 The present invention provides another specific embodiment, which provides an intelligent monitoring system for continuous coal mining machines, the system comprising:

[0064] The acquisition module 100 includes a magnetoelectric speed sensor installed on the standard continuous coal mining machine drum cutter group and a displacement sensor installed on the continuous coal mining machine drum cutter group. The acquisition module is used to acquire the standard drum speed signal and the actual speed signal of the drum cutter group under the duty cycle of each drum motor, or to acquire the oil inlet of the hydraulic cylinder of the continuous coal mining machine drum cutter group at this time.

[0065] The control module 200 is used to acquire the standard drum speed signal of the drum cutter group under each drum motor duty cycle by using the magnetoelectric speed sensor installed on the standard continuous coal mining machine drum cutter group to detect the periodic sequence, analyze the signal to obtain the standard drum speed data under each drum motor duty cycle, calculate the standard mapping function between the duty cycle and the standard drum speed data based on the standard drum speed data under each drum motor duty cycle, acquire the actual speed signal of the magnetoelectric speed sensor according to the first monitoring cycle and analyze it to obtain the actual speed data, calculate the current standard speed data according to the standard mapping function, calculate the standard feed amount of the continuous coal mining machine based on the oil inlet of the hydraulic cylinder of the continuous coal mining machine drum cutter group at this time, calculate the actual feed amount based on the displacement sensor installed on the continuous coal mining machine drum cutter group, determine the operating status of the continuous coal mining machine at this time based on the standard speed data, actual speed data, standard feed amount and actual feed amount, and control the alarm module 300 to output signals related to the operating status;

[0066] Alarm module 300 is used to output signals related to the operating status.

[0067] In a preferred embodiment, this application also provides an electronic device, the electronic device comprising:

[0068] The computer device includes a memory and a processor, wherein the memory stores computer-readable instructions that, when executed by the processor, implement the intelligent monitoring method for continuous coal mining machines. The computer device can be broadly categorized as a server, terminal, or any other electronic device with the necessary computing and / or processing capabilities. In one embodiment, the computer device may include a processor, memory, network interface, communication interface, etc., connected via a system bus. The processor of the computer device can be used to provide the necessary computing, processing, and / or control capabilities. The memory of the computer device may include a non-volatile storage medium and internal memory. The non-volatile storage medium may store an operating system, computer programs, etc. The internal memory can provide an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The network interface and communication interface of the computer device can be used to connect and communicate with external devices via a network. When the computer program is executed by the processor, it performs the steps of the method of the present invention.

[0069] This invention can be implemented as a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, causes the steps of the methods of embodiments of the invention to be performed. In one embodiment, the computer program is distributed across multiple network-coupled computer devices or processors, such that the computer program is stored, accessed, and executed in a distributed manner by one or more computer devices or processors. A single method step / operation, or two or more method steps / operations, may be executed by a single computer device or processor or by two or more computer devices or processors. One or more method steps / operations may be executed by one or more computer devices or processors, and one or more other method steps / operations may be executed by one or more other computer devices or processors. One or more computer devices or processors may execute a single method step / operation, or execute two or more method steps / operations.

[0070] Those skilled in the art will understand that the method steps of this invention can be performed by a computer program instructing related hardware, such as a computer device or processor, to perform the steps of this invention when executed. Depending on the context, any references herein to memory, storage, databases, or other media may include non-volatile and / or volatile memory. Examples of non-volatile memory include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), flash memory, magnetic tape, floppy disk, magneto-optical data storage device, optical data storage device, hard disk, solid-state drive, etc. Examples of volatile memory include random access memory (RAM), external cache memory, etc.

[0071] The technical features described above can be combined arbitrarily. Although not all possible combinations of these technical features are described, any combination of these technical features should be considered to be covered by this specification, provided that such combination does not contain contradictions.

[0072] The specific embodiments of the present invention described above do not constitute a limitation on the scope of protection of the present invention. Any other corresponding changes and modifications made in accordance with the technical concept of the present invention should be included within the scope of protection of the claims of the present invention.

Claims

1. A method for intelligent monitoring of a continuous coal mining machine, characterized in that, The standard drum speed signal of the drum cutter group under each drum motor duty cycle is obtained by using a magnetoelectric speed sensor installed on the standard continuous coal mining machine drum cutter group to detect the periodic sequence. The standard drum speed data under each drum motor duty cycle is obtained by analyzing the signal. The standard mapping function between the duty cycle and the standard drum speed data is calculated based on the standard drum speed data under each drum motor duty cycle. During the operation of the continuous coal mining machine, the actual speed signal of the magnetoelectric speed sensor is obtained according to the first monitoring cycle and the actual speed data is obtained by analysis. The current standard speed data is calculated according to the standard mapping function. The standard feed amount of the continuous coal mining machine is calculated based on the oil inlet of the hydraulic cylinder of the drum cutter group at this time. The actual feed amount is calculated based on the displacement sensor installed on the drum cutter group of the continuous coal mining machine. The operating status of the continuous coal mining machine at this time is determined by the standard speed data, the actual speed data, the standard feed amount, and the actual feed amount, and a signal related to the operating status is output. The process of determining the operating status of the continuous coal mining machine based on standard rotational speed data, actual rotational speed data, standard feed rate, and actual feed rate, and outputting signals related to the operating status, includes: The speed difference data is calculated based on the standard speed data and the actual speed data. The feed rate difference data is judged based on the standard feed rate and the actual feed rate. The speed difference data is judged to see if it is greater than or equal to the first preset threshold. If the speed difference data is greater than or equal to the first preset threshold, the feed rate difference data is judged to see if it is greater than or equal to the second preset threshold. Based on the judgment result, a signal about the operating status of the continuous coal mining machine at this time is output. The signal outputting the operating status of the continuous coal mining machine based on the judgment result includes: If the feed rate difference is greater than or equal to the second preset threshold, the duty cycle of the drum motor of the continuous coal mining machine is reduced by the first preset ratio.

2. The intelligent monitoring method for continuous coal mining machines according to claim 1, characterized in that, The signals output based on the judgment result regarding the current operating status of the continuous coal mining machine also include: If the difference in feed rate is less than the second preset threshold, an early warning signal is output regarding the abnormally low roller speed at this time.

3. The intelligent monitoring method for continuous coal mining machines according to claim 1, characterized in that, The step of determining whether the speed difference data is greater than or equal to the first preset threshold also includes: While determining whether the speed difference data is greater than or equal to the first preset threshold, it also determines whether the speed difference data is greater than or equal to the third preset threshold. If the speed difference data is greater than or equal to the third preset threshold, an alarm signal indicating that the drum speed is abnormally high is output, and the duty cycle of the drum motor of the continuous coal mining machine is reduced according to the second preset ratio.

4. The intelligent monitoring method for continuous coal mining machines according to claim 1, characterized in that, The step of determining whether the feed rate difference data is greater than or equal to the second preset threshold also includes: While determining whether the feed rate difference data is greater than or equal to the second preset threshold, it also determines whether the feed rate difference data is greater than or equal to the fourth preset threshold. If the feed rate difference data is greater than or equal to the fourth preset threshold, an alarm signal related to the continuous coal mining machine encountering an obstacle is output, and the duty cycle of the drum motor is reduced according to the third preset ratio.

5. The intelligent monitoring method for continuous coal mining machines according to claim 1, characterized in that, The step of outputting a signal regarding the operating status of the continuous coal mining machine at this time based on the judgment result also includes: When the speed difference data is less than the first preset threshold, it is determined whether the feed rate difference data is greater than or equal to the second preset threshold. If the feed rate difference data is greater than or equal to the second preset threshold, an early warning signal about the mechanical fault of the drum cutter group is output.

6. The intelligent monitoring method for continuous coal mining machines according to claim 5, characterized in that, The step of determining whether the feed rate difference data is greater than or equal to the second preset threshold also includes: If the difference in feed rate is less than the second preset threshold, a signal related to the normal operation of the continuous coal mining machine will be output.

7. An intelligent monitoring system for continuous coal mining machines, characterized in that, The intelligent monitoring method for continuous coal mining machines according to any one of claims 1-6 includes: The acquisition module includes a magnetoelectric speed sensor installed on the standard continuous coal mining machine drum cutter group and a displacement sensor installed on the continuous coal mining machine drum cutter group. The acquisition module is used to acquire the standard drum speed signal and the actual speed signal of the drum cutter group under the duty cycle of each drum motor, or to acquire the oil inlet of the hydraulic cylinder of the continuous coal mining machine drum cutter group at this time. The control module is used to acquire the standard drum speed signal of the drum cutter group under each drum motor duty cycle by using the magnetoelectric speed sensor installed on the standard continuous coal mining machine drum cutter group to detect the periodic sequence, analyze the signal to obtain the standard drum speed data under each drum motor duty cycle, calculate the standard mapping function between the duty cycle and the standard drum speed data based on the standard drum speed data under each drum motor duty cycle, acquire the actual speed signal of the magnetoelectric speed sensor according to the first monitoring cycle and analyze it to obtain the actual speed data, calculate the current standard speed data according to the standard mapping function, calculate the standard feed amount of the continuous coal mining machine based on the oil inlet of the hydraulic cylinder of the continuous coal mining machine drum cutter group at this time, calculate the actual feed amount based on the displacement sensor installed on the continuous coal mining machine drum cutter group, determine the operating status of the continuous coal mining machine at this time based on the standard speed data, actual speed data, standard feed amount and actual feed amount, and control the alarm module to output signals related to the operating status; The alarm module is used to output signals related to the operating status.

8. An electronic device, characterized in that, include: Memory; The processor, wherein the memory stores computer-readable instructions, which, when executed by the processor, implement the intelligent monitoring method for continuous coal mining machines according to any one of claims 1 to 6.

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