An adaptive adjustment method and system for coal mining machine cutting speed

Abstract

This invention relates to the field of coal mining machine planning and cutting technology, and discloses an adaptive adjustment method and system for coal mining machine planning and cutting speed. The method includes: acquiring environmental monitoring data to construct a first planning speed curve; acquiring geological condition data to obtain the relationship between the coal mining machine's cutting speed and its position under different geological conditions, and constructing a second planning speed curve; acquiring scraper coal quantity monitoring data to obtain the relationship between the coal mining machine's cutting speed and its position under different scraper conveyor coal quantities, and constructing a third planning speed curve; integrating the first, second, and third planning speed curves to obtain the coal mining machine's planned speed curve; and controlling the coal mining machine's cutting speed according to the planned speed curve. Using this invention to control the planned cutting speed of the coal mining machine ensures that the machine travels at its maximum speed under safe, economical, energy-saving, and low-wear conditions, thereby maximizing the machine's output.

Description

Technical Field

[0001] This invention relates to the field of coal mining machinery planning and cutting technology, and in particular to a method and system for adaptive adjustment of coal mining machinery planning and cutting speed. Background Technology

[0002] In recent years, global coal seam mining efforts have gradually increased. With the development of science and technology, unmanned or minimally manned coal mining faces will inevitably become the future of coal mining technology. To improve the automation and intelligence level of mining equipment, coal mining machines need to be improved to have highly automated, highly intelligent, efficient, and safe cutting and planning functions.

[0003] In existing technologies, coal mining machine planning and cutting usually requires the coal mining operator at the coal mining site to observe and control the coal mining machine in real time. This is labor-intensive and consumes a lot of human resources. Existing technologies lack a coal mining machine planning and cutting scheme that can automatically plan and cut, has a high degree of intelligence, high safety, and high coal mining efficiency and output. Summary of the Invention

[0004] The present invention aims to at least solve the technical problem of the lack of a coal mining machine planning and cutting scheme in the prior art that is capable of automatic planning and cutting, highly intelligent, safe, efficient and productive.

[0005] Therefore, one object of the present invention is to provide an adaptive adjustment method for coal mining machine cutting speed, comprising:

[0006] Based on the relationship between the cutting speed and position of the coal mining machine under different environments, a first planned speed curve is constructed.

[0007] Based on the relationship between the cutting speed of the coal mining machine and the position of the coal mining machine under different geological conditions, a second planned speed curve is constructed.

[0008] Based on the relationship between the cutting speed of the coal mining machine and the position of the coal mining machine under different coal loads of the scraper conveyor, a third planning speed curve is constructed.

[0009] By integrating the first planned speed curve, the second planned speed curve, and the third planned speed curve, the planned speed curve of the coal mining machine is obtained.

[0010] The cutting speed of the coal mining machine is controlled according to the planned speed curve of the coal mining machine.

[0011] Furthermore, by integrating the first planned speed curve, the second planned speed curve, and the third planned speed curve, a coal mining machine planned speed curve is obtained, including:

[0012] In the same coordinate system, the data point with the minimum position speed of the coal mining machine is selected on the first planned speed curve, the second planned speed curve and the third planned speed curve, and the planned speed curve of the coal mining machine is constructed using the data point.

[0013] Furthermore, based on the relationship between the cutting speed and position of the coal mining machine under different environments, a first planned speed curve is constructed, including:

[0014] By acquiring environmental monitoring data, the relationship between the cutting speed of the coal mining machine and the position of the coal mining machine under different environments is obtained, and the first planned speed curve is constructed.

[0015] Furthermore, environmental monitoring data is acquired to obtain the relationship between the coal mining machine's cutting speed and its position under different environments, and a first-planned speed curve is constructed, including:

[0016] The environmental monitoring data includes historical environmental data and real-time environmental data;

[0017] Based on the historical environmental data, the relationship between the coal mining machine's cutting speed and its position under different environmental conditions is obtained, and a first predicted planning speed curve is constructed.

[0018] The first predicted planning speed curve is verified based on the real-time environmental data to obtain the first planning speed curve.

[0019] Furthermore, based on the relationship between the cutting speed and the position of the coal mining machine under different geological conditions, a second planned speed curve is constructed, including:

[0020] Geological condition data is obtained to determine the relationship between the cutting speed of the coal mining machine and the position of the coal mining machine under different geological conditions, and a second planned speed curve is constructed.

[0021] Furthermore, geological condition data is obtained to determine the relationship between the coal mining machine's cutting speed and its position under different geological conditions, thus constructing a second planned speed curve, including:

[0022] The geological condition data includes both exploration geological data and real-time geological data;

[0023] Based on the geological data obtained, the relationship between the cutting speed of the coal mining machine and the position of the coal mining machine is obtained, and a second predicted planning speed curve is constructed.

[0024] The second predicted planning velocity curve is verified based on the real-time geological data to obtain the second planning velocity curve.

[0025] Furthermore, based on the relationship between the cutting speed of the coal mining machine and the position of the coal mining machine under different scraper conveyor coal loads, a third planning speed curve is constructed, including:

[0026] By acquiring scraper coal volume monitoring data, the relationship between the coal cutting speed and the position of the coal mining machine under different scraper coal loads is obtained, and a third planning speed curve is constructed.

[0027] Furthermore, by acquiring scraper coal volume monitoring data, the relationship between the coal cutting speed and the position of the coal mining machine under different scraper coal loads is obtained, and a third planning speed curve is constructed, including:

[0028] The scraper coal quantity monitoring data includes real-time scraper coal quantity data and scraper coal quantity threshold data;

[0029] Based on the real-time scraper coal volume data, the relationship between the coal mining machine cutting speed and the coal mining machine position is obtained, and a third predictive planning speed curve is constructed.

[0030] The third predicted planning speed curve is verified based on the scraper coal quantity threshold data to obtain the third planning speed curve.

[0031] Furthermore, the environmental monitoring data includes gas and dust data of the coal mining machine body and gas and dust data of the upper and lower corners of the working face.

[0032] Furthermore, the geological condition data includes working face pitch angle data, roll angle data, and working face strike data.

[0033] Furthermore, the scraper coal quantity monitoring data includes real-time data of the scraper conveyor's coal quantity, historical data of the scraper conveyor's coal quantity, and scraper coal quantity threshold data.

[0034] Furthermore, based on the planned speed curve of the coal mining machine, the cutting speed of the coal mining machine is controlled, including:

[0035] The cutting speed of the coal mining machine can be controlled in real time via a host computer; or...

[0036] The planned speed curve of the coal mining machine is sent to the coal mining machine storage device to guide the traction speed control of the coal mining machine in the planned cutting process.

[0037] This invention provides an adaptive adjustment system for the planned cutting speed of a coal mining machine, characterized in that it includes a method for implementing the adaptive adjustment of the planned cutting speed of a coal mining machine as described above, comprising:

[0038] First curve generation module: Constructs the first planned speed curve based on the relationship between the coal mining machine's cutting speed and its position under different environments;

[0039] Second curve generation module: Based on the relationship between the cutting speed of the coal mining machine and the position of the coal mining machine under different geological conditions, construct the second planned speed curve;

[0040] The third curve generation module: Based on the relationship between the coal cutting speed and the position of the coal mining machine under different scraper conveyor coal loads, a third planned speed curve is constructed;

[0041] Planning speed curve generation module: used to obtain the coal mining machine planning speed curve by integrating the first planning speed curve, the second planning speed curve and the third planning speed curve;

[0042] Control module: Used to control the cutting speed of the coal mining machine according to the planned speed curve of the coal mining machine.

[0043] This invention proposes an adaptive adjustment method for the planned cutting speed of a coal mining machine, which has the following beneficial effects:

[0044] This invention, based on environmental monitoring data, obtains the relationship between the cutting speed and position of the coal mining machine, constructing a first planned speed curve. Based on geological condition data, it obtains the relationship between the cutting speed and position of the coal mining machine, constructing a second planned speed curve. Based on scraper coal quantity monitoring data, it obtains the relationship between the cutting speed and position of the coal mining machine, constructing a third planned speed curve. Under the same coordinate system, data points with the minimum speed at the same coal mining machine position are selected on the first, second, and third planned speed curves. Using these data points, a planned speed curve for the coal mining machine is constructed. When the coal mining machine moves according to the planned speed curve, it can ensure that the gas and dust concentration does not exceed the standard, ensuring operational safety. It can also ensure that the coal mining machine can move at a reasonable speed in different geological sections, avoiding energy waste. When the coal mining machine moves at a reasonable speed, it ensures that the coal quantity of the conveyor is not overloaded, reducing wear and tear on the conveyor equipment.

[0045] In summary, by using this invention to control the planned cutting speed of the coal mining machine, it is possible to ensure that the coal mining machine travels at the highest speed under safe, economical, energy-saving, and low-wear conditions, thereby maximizing the output of the coal mining machine. Attached Figure Description

[0046] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0047] Figure 1 This is a flowchart illustrating an adaptive adjustment method for coal mining machine cutting speed according to an embodiment of the present invention. Figure 1 ;

[0048] Figure 2This is a flowchart illustrating an adaptive adjustment method for coal mining machine cutting speed according to an embodiment of the present invention. Figure 2 .

[0049] Figure 3 This is a schematic diagram of the generation of the coal mining machine planning speed curve in an embodiment of the present invention, which describes a method for adaptive adjustment of coal mining machine planning and cutting speed. Detailed Implementation

[0050] Various aspects and features of the present invention are described herein with reference to the accompanying drawings.

[0051] It should be understood that various modifications can be made to the embodiments described herein. Therefore, the above description should not be considered as limiting, but merely as an example of embodiments. Other modifications within the scope and spirit of the invention will be apparent to those skilled in the art.

[0052] The accompanying drawings, which are included in and form part of this specification, illustrate embodiments of the invention and, together with the general description of the invention given above and the detailed description of the embodiments given below, serve to explain the principles of the invention.

[0053] These and other features of the invention will become apparent from the following description of preferred forms of embodiments given as non-limiting examples, with reference to the accompanying drawings.

[0054] It should also be understood that although the invention has been described with reference to some specific examples, those skilled in the art can certainly implement many other equivalent forms of the invention, which have the features described in the claims and are therefore all within the scope of protection defined herein.

[0055] The above and other aspects, features and advantages of the invention will become more apparent when taken in conjunction with the accompanying drawings and in view of the following detailed description.

[0056] Specific embodiments of the invention are described below with reference to the accompanying drawings; however, it should be understood that the claimed embodiments are merely examples of the invention, which can be implemented in various ways. Well-known and / or repeated functions and structures are not described in detail to avoid unnecessary or redundant details that could obscure the invention. Therefore, the specific structural and functional details claimed herein are not intended to be limiting, but merely to serve as the basis and representative basis for the claims to teach those skilled in the art to use the invention in various ways with substantially any suitable detailed structure.

[0057] In the description of this invention, the references to terms such as "one embodiment," "some embodiments," "illustrative embodiment," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0058] Although embodiments of the invention have been shown and described, those skilled in the art will understand that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the claims and their equivalents.

[0059] Example

[0060] like Figure 1 and Figure 3 As shown, this embodiment provides a method for adaptive adjustment of coal cutting speed, including the following steps:

[0061] Step S1: Obtain environmental monitoring data to obtain the relationship between the coal mining machine's cutting speed and its position under different environmental conditions, and construct the first planned speed curve;

[0062] Step S2: Obtain geological condition data, obtain the relationship between the cutting speed of the coal mining machine and the position of the coal mining machine under different geological conditions, and construct the second planned speed curve;

[0063] Step S3: Obtain scraper coal quantity monitoring data, obtain the relationship between the coal cutting speed and the position of the coal mining machine under different scraper coal loads, and construct the third planning speed curve;

[0064] Step S4: By integrating the first planned speed curve, the second planned speed curve, and the third planned speed curve, the planned speed curve of the coal mining machine is obtained.

[0065] Step S5: Control the cutting speed of the coal mining machine according to the planned speed curve of the coal mining machine.

[0066] According to another specific embodiment of the present invention, based on step S4, by integrating the first planned speed curve, the second planned speed curve, and the third planned speed curve, a coal mining machine planned speed curve is obtained, including:

[0067] In the same coordinate system, the data point with the minimum position speed of the coal mining machine is selected on the first planned speed curve, the second planned speed curve and the third planned speed curve, and the planned speed curve of the coal mining machine is constructed using the data point.

[0068] like Figure 2 As shown, according to another specific embodiment of the present invention, based on step S1, environmental monitoring data is acquired to obtain the relationship between the coal mining machine cutting speed and the coal mining machine position under different environmental conditions, and a first planned speed curve is constructed, including:

[0069] The environmental monitoring data includes historical environmental data and real-time environmental data;

[0070] Based on the historical environmental data, the relationship between the coal mining machine's cutting speed and its position is obtained, and a first predicted planning speed curve is constructed.

[0071] The relationship between the cutting speed and position of the coal mining machine includes the relationship between the cutting speed and position of the coal mining machine under different environmental parameters, such as the relationship between the cutting speed and position of the coal mining machine under different gas concentrations and the relationship between the cutting speed and position of the coal mining machine under different dust concentrations. The number of the first predicted planning speed curves is multiple.

[0072] The first predicted planning speed curve is verified based on the real-time environmental data to obtain the first planning speed curve; there are multiple first planning speed curves.

[0073] According to another specific embodiment of the present invention, based on step S2, geological condition data is obtained to determine the relationship between the cutting speed of the coal mining machine and the position of the coal mining machine under different geological conditions, and a second planned speed curve is constructed, including:

[0074] The geological condition data includes both exploration geological data and real-time geological data;

[0075] Based on the geological data obtained, the relationship between the cutting speed of the coal mining machine and the position of the coal mining machine is obtained, and a second predicted planning speed curve is constructed.

[0076] The relationship between the cutting speed and position of the coal mining machine here includes the relationship between the cutting speed and position of the coal mining machine under different environmental parameters, such as the relationship between the cutting speed and position of the coal mining machine under different working face pitch angle data, and the relationship between the cutting speed and position of the coal mining machine under different roll angle data. The number of the second predicted planning speed curves is multiple.

[0077] The second predicted planning velocity curve is verified based on the real-time geological data to obtain the second planning velocity curve, and there are multiple second planning velocity curves.

[0078] According to another specific embodiment of the present invention, based on step S3, scraper coal quantity monitoring data is obtained to obtain the relationship between the coal cutting speed and the position of the coal mining machine under different scraper coal loads, and a third planned speed curve is constructed, including:

[0079] The scraper coal quantity monitoring data includes real-time scraper coal quantity data and scraper coal quantity threshold data;

[0080] Based on the real-time scraper coal volume data, the relationship between the coal mining machine cutting speed and the coal mining machine position is obtained, and a third predictive planning speed curve is constructed.

[0081] The third predicted planning speed curve is verified based on the scraper coal quantity threshold data to obtain the third planning speed curve.

[0082] According to another specific embodiment of the present invention, based on the above embodiments, the environmental monitoring data includes gas and dust data of the coal mining machine body and gas and dust data of the upper and lower corners of the working face.

[0083] According to another specific embodiment of the present invention, based on the above embodiments, the geological condition data includes working face pitch angle data, roll angle data, and working face strike data.

[0084] According to another specific embodiment of the present invention, based on the above embodiments, the scraper coal quantity monitoring data includes real-time data of the scraper conveyor's coal quantity, historical data of the scraper conveyor's coal quantity, and scraper coal quantity threshold data.

[0085] According to another specific embodiment of the present invention, based on the above embodiments, controlling the cutting speed of the coal mining machine according to the planned speed curve of the coal mining machine includes:

[0086] The cutting speed of the coal mining machine can be controlled in real time via a host computer; or...

[0087] The planned speed curve of the coal mining machine is sent to the coal mining machine storage device to guide the traction speed control of the coal mining machine in the planned cutting process.

[0088] This invention provides an adaptive adjustment system for the planned cutting speed of a coal mining machine, characterized in that it includes a method for implementing the adaptive adjustment of the planned cutting speed of a coal mining machine as described above, comprising:

[0089] First curve generation module: Constructs the first planned speed curve based on the relationship between the coal mining machine's cutting speed and its position under different environments;

[0090] Second curve generation module: Based on the relationship between the cutting speed of the coal mining machine and the position of the coal mining machine under different geological conditions, construct the second planned speed curve;

[0091] The third curve generation module: Based on the relationship between the coal cutting speed and the position of the coal mining machine under different scraper conveyor coal loads, a third planned speed curve is constructed;

[0092] Planning speed curve generation module: used to obtain the coal mining machine planning speed curve by integrating the first planning speed curve, the second planning speed curve and the third planning speed curve;

[0093] Control module: Used to control the cutting speed of the coal mining machine according to the planned speed curve of the coal mining machine.

[0094] This invention proposes an adaptive adjustment method for the planned cutting speed of a coal mining machine, which has the following beneficial effects:

[0095] This invention, based on environmental monitoring data, obtains the relationship between the cutting speed and position of the coal mining machine, constructing a first planned speed curve. Based on geological condition data, it obtains the relationship between the cutting speed and position of the coal mining machine, constructing a second planned speed curve. Based on scraper coal quantity monitoring data, it obtains the relationship between the cutting speed and position of the coal mining machine, constructing a third planned speed curve. Under the same coordinate system, data points with the minimum speed at the same coal mining machine position are selected on the first, second, and third planned speed curves. Using these data points, a planned speed curve for the coal mining machine is constructed. When the coal mining machine moves according to the planned speed curve, it can ensure that the gas and dust concentration does not exceed the standard, ensuring operational safety. It can also ensure that the coal mining machine can move at a reasonable speed in different geological sections, avoiding energy waste. When the coal mining machine moves at a reasonable speed, it ensures that the coal quantity of the conveyor is not overloaded, reducing wear and tear on the conveyor equipment.

[0096] In summary, by using this invention to control the planned cutting speed of the coal mining machine, it is possible to ensure that the coal mining machine travels at the highest speed under safe, economical, energy-saving, and low-wear conditions, thereby maximizing the output of the coal mining machine.

[0097] This disclosure also provides an electronic device, including at least a memory and a processor. The memory stores a computer program, and the processor, when executing the computer program in the memory, implements the above-described adaptive adjustment method for coal mining machine cutting speed. The method includes the following steps:

[0098] Step S1: Obtain environmental monitoring data to obtain the relationship between the coal mining machine's cutting speed and its position under different environmental conditions, and construct the first planned speed curve;

[0099] Step S2: Obtain geological condition data, obtain the relationship between the cutting speed of the coal mining machine and the position of the coal mining machine under different geological conditions, and construct the second planned speed curve;

[0100] Step S3: Obtain scraper coal quantity monitoring data, obtain the relationship between the coal cutting speed and the position of the coal mining machine under different scraper coal loads, and construct the third planning speed curve;

[0101] Step S4: By integrating the first planned speed curve, the second planned speed curve, and the third planned speed curve, the planned speed curve of the coal mining machine is obtained.

[0102] Step S5: Control the cutting speed of the coal mining machine according to the planned speed curve of the coal mining machine.

[0103] In some embodiments, the processor executing a computer program may be a processing device that includes one or more general-purpose processing devices, such as a microprocessor, a central processing unit (CPU), a graphics processing unit (GPU), etc. More specifically, the processor may be a Complex Instruction Set Computing (CISC) microprocessor, a Reduced Instruction Set Computing (RISC) microprocessor, a Very Long Instruction Word (VLIW) microprocessor, a processor that runs other instruction sets, or a processor that runs a combination of instruction sets. The processor may also be one or more special-purpose processing devices, such as an Application-Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA), a Digital Signal Processor (DSP), a System-on-a-Chip (SoC), etc.

[0104] The memory may be a read-only memory (ROM), random access memory (RAM), phase-change random access memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), electrically erasable programmable read-only memory (EEPROM), other types of random access memory (RAM), flash drives or other forms of flash memory, cache, registers, static memory, optical disc read-only memory (CD-ROM), digital versatile optical disc (DVD) or other optical storage, magnetic tape cassette or other magnetic storage device, or any other possible non-transitory medium used to store information or instructions that can be accessed by computer equipment.

[0105] The electronic devices disclosed herein may include, but are not limited to, fixed terminal devices such as MCU controllers, servers, desktop computers, and digital TVs, as well as mobile terminal devices such as in-vehicle devices (e.g., head-up displays), handheld devices (e.g., mobile phones, tablets, etc.), and wearable devices (e.g., smartwatches, smart bracelets, etc.).

[0106] This disclosure also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described adaptive adjustment method for coal mining machine cutting speed, the method comprising the following steps:

[0107] Step S1: Obtain environmental monitoring data to obtain the relationship between the coal mining machine's cutting speed and its position under different environmental conditions, and construct the first planned speed curve;

[0108] Step S2: Obtain geological condition data, obtain the relationship between the cutting speed of the coal mining machine and the position of the coal mining machine under different geological conditions, and construct the second planned speed curve;

[0109] Step S3: Obtain scraper coal quantity monitoring data, obtain the relationship between the coal cutting speed and the position of the coal mining machine under different scraper coal loads, and construct the third planning speed curve;

[0110] Step S4: By integrating the first planned speed curve, the second planned speed curve, and the third planned speed curve, the planned speed curve of the coal mining machine is obtained.

[0111] Step S5: Control the cutting speed of the coal mining machine according to the planned speed curve of the coal mining machine.

[0112] This invention proposes an adaptive adjustment method for the planned cutting speed of a coal mining machine, which has the following beneficial effects:

[0113] This invention, based on environmental monitoring data, obtains the relationship between the cutting speed and position of the coal mining machine, constructing a first planned speed curve. Based on geological condition data, it obtains the relationship between the cutting speed and position of the coal mining machine, constructing a second planned speed curve. Based on scraper coal quantity monitoring data, it obtains the relationship between the cutting speed and position of the coal mining machine, constructing a third planned speed curve. Under the same coordinate system, data points with the minimum speed at the same coal mining machine position are selected on the first, second, and third planned speed curves. Using these data points, a planned speed curve for the coal mining machine is constructed. When the coal mining machine moves according to the planned speed curve, it can ensure that the gas and dust concentration does not exceed the standard, ensuring operational safety. It can also ensure that the coal mining machine can move at a reasonable speed in different geological sections, avoiding energy waste. When the coal mining machine moves at a reasonable speed, it ensures that the coal quantity of the conveyor is not overloaded, reducing wear and tear on the conveyor equipment.

[0114] In summary, by using this invention to control the planned cutting speed of the coal mining machine, it is possible to ensure that the coal mining machine travels at the highest speed under safe, economical, energy-saving, and low-wear conditions, thereby maximizing the output of the coal mining machine.

[0115] The computer-readable storage medium of this disclosure can be any combination of one or more computer-readable media. The computer-readable medium can be a computer-readable signal medium or a computer-readable storage medium. The computer-readable storage medium can be, for example,—but not limited to—an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. In this disclosure, the computer-readable storage medium can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device; for example, it can be the memory described above.

[0116] The computer programs of embodiments of this disclosure can be organized into one or more computer-executable components or modules. Various aspects of this disclosure can be implemented with any number and combination of such components or modules. For example, aspects of this disclosure are not limited to the specific computer-executable instructions or particular components or modules shown in the drawings and described herein. Other embodiments may include different computer-executable instructions or components having more or fewer functions than those shown and described herein.

[0117] The above description is merely a preferred embodiment of this disclosure and an explanation of the technical principles employed. Those skilled in the art should understand that the scope of this disclosure is not limited to technical solutions formed by specific combinations of the above-described technical features, but should also cover other technical solutions formed by arbitrary combinations of the above-described technical features or their equivalents without departing from the above-described concept. For example, technical solutions formed by substituting the above features with (but not limited to) technical features disclosed in this disclosure that have similar functions.

Claims

1. A method for adaptive adjustment of coal cutting speed, characterized in that, include: Based on the relationship between the cutting speed and the position of the coal mining machine under different environments, a first planned speed curve is constructed. Specifically, this includes: obtaining the relationship between the cutting speed and the position of the coal mining machine under different environmental conditions based on historical environmental data, and constructing a first predicted planned speed curve; verifying the first predicted planned speed curve based on real-time environmental data to obtain the first planned speed curve. Based on the relationship between the cutting speed and the position of the coal mining machine under different geological conditions, a second planned speed curve is constructed. Specifically, this includes: obtaining the relationship between the cutting speed and the position of the coal mining machine based on geological data, and constructing a second predicted planned speed curve; verifying the second predicted planned speed curve based on real-time geological data to obtain the second planned speed curve. Based on the relationship between the cutting speed and position of the coal mining machine under different scraper conveyor coal loads, a third planned speed curve is constructed. Specifically, this includes: obtaining the relationship between the cutting speed and position of the coal mining machine based on real-time scraper coal load data, and constructing a third predicted planned speed curve; verifying the third predicted planned speed curve based on scraper coal load threshold data to obtain the third planned speed curve. By integrating the first planned speed curve, the second planned speed curve, and the third planned speed curve, the planned speed curve of the coal mining machine is obtained. The cutting speed of the coal mining machine is controlled according to the planned speed curve of the coal mining machine.

2. The adaptive adjustment method for coal mining machine cutting speed according to claim 1, characterized in that, By integrating the first planned speed curve, the second planned speed curve, and the third planned speed curve, the planned speed curve of the coal mining machine is obtained, including: In the same coordinate system, the data point with the minimum position speed of the coal mining machine is selected on the first planned speed curve, the second planned speed curve and the third planned speed curve, and the planned speed curve of the coal mining machine is constructed using the data point.

3. The adaptive adjustment method for coal mining machine cutting speed according to claim 1, characterized in that, Based on the planned speed curve of the coal mining machine, the cutting speed of the coal mining machine is controlled, including: The cutting speed of the coal mining machine can be controlled in real time via a host computer; or... The planned speed curve of the coal mining machine is sent to the coal mining machine storage device to guide the traction speed control of the coal mining machine in the planned cutting process.

4. A coal mining machine planning and cutting speed adaptive adjustment system, characterized in that, The method for adaptive adjustment of coal mining machine cutting speed as described in any one of claims 1-3 includes: First curve generation module: Constructs the first planned speed curve based on the relationship between the coal mining machine's cutting speed and its position under different environments; Second curve generation module: Based on the relationship between the cutting speed of the coal mining machine and the position of the coal mining machine under different geological conditions, construct the second planned speed curve; The third curve generation module: Based on the relationship between the coal cutting speed and the position of the coal mining machine under different scraper conveyor coal loads, a third planned speed curve is constructed; Planning speed curve generation module: used to obtain the coal mining machine planning speed curve by integrating the first planning speed curve, the second planning speed curve and the third planning speed curve; Control module: Used to control the cutting speed of the coal mining machine according to the planned speed curve of the coal mining machine.

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