Intelligent mine integrated control platform based on 5G-MEC

Abstract

The invention relates to the technical field of mining application, and discloses a 5G-MEC-based intelligent mine integrated control platform and a 5G communication system. The MEC core network is deployed in a mine core machine room, a switch is hung below the MEC core network, the MEC core network is in butt joint with an existing mine 10-gigabit industrial network, and data interaction between 5G and a mine industrial ring network is achieved; a mobile device data transmission and remote control system; an unattended system; cutting parameters and a tunneling path are optimized in a datamation mode, dynamic adjustment of equipment such as a coal mining machine in the operation process is achieved, and therefore the mining efficiency is guaranteed, meanwhile, energy consumption and abrasion of the equipment are effectively reduced, the service life of the equipment is prolonged, the maintenance cost is reduced, the overall economic benefit of mine mining is improved, and meanwhile the mining efficiency is improved. The advanced fault diagnosis technology is adopted, the identification accuracy of the inspection robot on equipment faults and normal states is improved, false alarms and missing alarms are reduced, the continuity and stability of mine production are guaranteed, and the safety risk is reduced.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of mining application, and particularly relates to a smart mine integrated control platform based on 5G-MEC. BACKGROUND

[0002] In the existing mining operation, the operation parameter adjustment and path planning of the coal mining machine, the heading machine and the like mainly depend on manual experience. The operator manually sets the cutting depth, speed and the like of the device according to the on-site situation and past experience, and plans the heading path. This adjustment mode based on manual experience has many limitations: on the one hand, due to the lack of real-time data support, it is difficult to accurately adapt to complex geological conditions and variable mining environments, resulting in low device operation efficiency; on the other hand, the manually planned path is often not optimized, which may increase unnecessary energy consumption and device wear and tear, and reduce the mining efficiency. In addition, device fault diagnosis mainly relies on manual inspection, which not only has low efficiency, but also is prone to false positives and false negatives, and it is difficult to find potential faults in time, which affects the continuity and stability of mine production, and even may cause safety risks. SUMMARY

[0003] The technical problem to be solved by the present application is that the prior art has the shortcomings of over-reliance on manual experience for mining and manual inspection for fault diagnosis. Therefore, the present application provides a smart mine integrated control platform based on 5G-MEC.

[0004] In order to achieve the above purpose, the present application adopts the following technical scheme: a smart mine integrated control platform based on 5G-MEC, comprising: a 5G communication system for realizing 5G full-coverage private network on the surface and underground of the mine, wherein the surface mainly uses macro base stations, arranges PTN and BBU, and forms a loop with two-way operator communication lines; the underground 5G wireless base station is deployed by using micro base stations, and is covered by RRU, and optical fiber is used as the connection medium; a MEC core network deployed in the mine core room, which is connected with the existing 10G industrial network of the mine through a switch, and realizes data interaction between 5G and the industrial ring network of the mine; a mobile device data transmission and remote control system, comprising a coal mining machine, a heading machine, a belt machine inspection robot and a rubber-tyred vehicle, which realizes high-speed transmission of all sensing data, video information and parameter control signals by installing CPE at the end and using the high bandwidth and high reliability of the 5G network; The unmanned system is based on the application research of the 5G industrial control scene, and industrial cameras and sensors are arranged at the mining working face. Video, audio and sensor signals are transmitted to the ground through the 5G network. The ground operator remotely operates the equipment according to the video, audio and sensor information of the mining working face. The control command is transmitted to the mining working face through the 5G network to control the action of the equipment, so as to realize the unmanned or few-person operation of the mining working face.

[0005] Preferably, the mobile device data transmission and remote control system comprises, a data acquisition module for acquiring running state data, video information, sensor data and the like of the mobile device; a data transmission module for transmitting the acquired data to the control center through the 5G network; a control instruction receiving module for receiving the control instruction sent by the control center through the 5G network; a control execution module for remotely controlling the mobile device according to the received control instruction.

[0006] Preferably, the data acquisition module further comprises, a coal mining machine data acquisition unit for acquiring running state data, cutting parameters, video monitoring data of the coal mining machine; a heading machine data acquisition unit for acquiring running state data, navigation data, video monitoring data of the heading machine; a rubber-tyred vehicle data acquisition unit for acquiring running state data, position information, video monitoring data of the rubber-tyred vehicle; a belt machine inspection robot data acquisition unit for acquiring running state data, inspection video data, sensor data of the belt machine inspection robot.

[0007] Preferably, the control execution module comprises, a coal mining machine control unit for remotely centralized control and memory cutting of the coal mining machine according to the control instruction; a heading machine control unit for remotely controlling and memory cutting of the heading machine according to the control instruction; a rubber-tyred vehicle control unit for remotely controlling and path planning of the rubber-tyred vehicle according to the control instruction; a belt machine inspection robot control unit for remotely controlling and fault diagnosis of the belt machine inspection robot according to the control instruction.

[0008] Preferably, the cutting parameters are optimized by an optimization formula, and the formula is,

[0009] wherein, P opt1For the optimized cutting parameter vector, C(P) is the cost function used to represent the energy consumption and equipment wear cost in the cutting process, R(P) is the risk function representing the safety risk in the cutting process, λ is the weight factor, usually the value range is 0≤λ≤1, P is the cutting parameter vector;

[0010] Wherein, E i is the energy consumption of the i-th cutting point, d i is the cutting depth of the i-th cutting point, W i is the equipment wear coefficient of the i-th cutting point, v i is the cutting speed of the i-th cutting point, and N is the total number of cutting points;

[0011] Wherein, S i is the safety coefficient of the i-th cutting point, k i is the risk attenuation coefficient of the i-th cutting point, S i and k i are obtained by summarizing and calculating the historical data.

[0012] Preferably, the tunneling machine control unit further comprises tunneling optimization of the tunneling path, and the tunneling optimization satisfies the following formula,

[0013] Wherein, A is a path matrix representing the terrain and obstacle information of the path, and is usually a symmetric matrix, the element A ij of A can represent the cost or distance between path point i and path point j, b is a path vector, which is usually a one-dimensional vector, the element b i of b can represent the target direction or target position of path point i, c is a constant term representing the fixed cost or bias term of the path, and q represents the vector representation of the tunneling path, each element q i represents the position of a point on the path, in actual application, q i is a three-dimensional vector [x i , y i , z i ], representing the coordinates of the i-th path point.

[0014] Preferably, the fault diagnosis needs to satisfy the accuracy formula,

[0015] Wherein, A c represents the accuracy, TP is the true positive representing the number of faults correctly identified by the inspection robot, TN is the true negative representing the number of normal states correctly identified by the inspection robot, FP is the false positive representing the number of faults incorrectly identified by the inspection robot, and FN is the false negative representing the number of normal states incorrectly identified by the inspection robot, and the formula ensures the accuracy of the diagnosis in actual application.

[0016] Preferably, the mobile device data transmission and remote control system further includes, The security encryption module is used to encrypt transmitted data and control commands to ensure the security of data transmission. The fault-tolerant module is used to automatically switch to a backup channel or execute a preset fault-tolerant strategy when a fault occurs during data transmission or control command reception.

[0017] Preferably, the mobile device data transmission and remote control system further includes, The data storage module is used to store the collected data and the historical records of control commands; The data analysis module is used to analyze the collected data and generate equipment operation reports and fault warning information.

[0018] Preferably, the device further includes a computer device comprising a memory and a processor, the memory storing a computer program, and the processor executing the computer program to perform the functions described above.

[0019] The technical effects and advantages of this invention are as follows: This invention optimizes cutting parameters and tunneling paths through data processing, enabling dynamic adjustments to equipment such as coal mining machines during operation. This effectively reduces equipment energy consumption and wear while ensuring mining efficiency, extending equipment lifespan, reducing maintenance costs, and improving the overall economic benefits of mining. Furthermore, the use of advanced fault diagnosis technology improves the accuracy of inspection robots in identifying equipment faults and normal conditions, reducing false alarms and missed alarms, ensuring the continuity and stability of mine production, and reducing safety risks. Attached Figure Description

[0020] The disclosure of this invention is illustrated with reference to the accompanying drawings. It should be understood that the drawings are for illustrative purposes only and are not intended to limit the scope of protection of this invention. In the drawings, the same reference numerals are used to refer to the same parts: Figure 1 This is a schematic diagram of the computer equipment used in the 5G-MEC-based integrated smart mine control platform of this invention. Detailed Implementation

[0021] It is readily understood that, based on the technical solution of this invention, those skilled in the art can propose various interchangeable methods and implementations without altering the essential spirit of the invention. Therefore, the following detailed embodiments and accompanying drawings are merely illustrative examples of the technical solution of this invention and should not be considered as the entirety of the invention or as limitations or restrictions on the technical solution of this invention.

[0022] Reference Figure 1The present invention provides a technical solution: a smart mine integrated control platform based on 5G-MEC, comprising: a 5G communication system for achieving full 5G coverage private network above and below ground in the mine area, wherein the above ground mainly uses macro base stations, deploys PTN and BBU, and forms a loop with two operator communication lines; the underground 5G wireless base station is deployed using micro base stations, extends coverage through RRU, and uses optical fiber as the connection medium; The MEC core network is deployed in the core data center of the mine, with a switch connected to it and interfacing with the existing 10 Gigabit industrial network of the mine to realize data interaction between 5G and the mine's industrial ring network. Mobile device data transmission and remote control systems, including coal mining machines, tunneling machines, belt conveyor inspection robots, and rubber-tired vehicles, achieve high-speed transmission of sensor data, video information, and parameter control signals by installing CPEs at the end and leveraging the high bandwidth and high reliability of 5G networks. The unmanned operation system, based on the application research of 5G industrial control scenarios, uses industrial cameras and sensors installed at the mining face to transmit video, audio and sensor signals to the ground via a 5G network. Ground operators can remotely operate the equipment based on the video, audio and sensor information from the mining face, and control commands are transmitted to the mining face via the 5G network to control the equipment's actions, enabling unmanned or minimally manned operation at the mining face.

[0023] Furthermore, the mobile device data transmission and remote control system includes a data acquisition module for acquiring mobile device operating status data, video information, sensor data, etc. The data transmission module is used to transmit the collected data to the control center via the 5G network; The control command receiving module is used to receive control commands sent by the control center via the 5G network; The control execution module is used to remotely control the mobile device according to the received control commands.

[0024] It should be noted that the data acquisition module also includes, The coal mining machine data acquisition unit is used to collect the coal mining machine's operating status data, cutting parameters, and video monitoring data. The tunneling machine data acquisition unit is used to collect the tunneling machine's operating status data, navigation data, and video monitoring data; The rubber-tired vehicle data acquisition unit is used to collect the vehicle's operating status data, location information, and video surveillance data. The inspection robot data acquisition unit is used to collect the operating status data, inspection video data, and sensor data of the belt conveyor inspection robot.

[0025] Furthermore, the control execution module includes, The coal mining machine control unit is used to remotely control and memorize the cutting parameters of the coal mining machine according to control commands. The tunneling machine control unit is used to remotely control the tunneling machine and memorize cutting parameters according to control commands; The rubber-tired vehicle control unit is used to remotely control and plan routes for the rubber-tired vehicle according to control commands; The inspection robot control unit is used to remotely control and diagnose faults of the belt conveyor inspection robot according to control commands.

[0026] Uniquely, the cutting parameters are optimized using an optimization formula, which is as follows:

[0027] Among them, P opt1 Let C(P) be the optimized cutting parameter vector, C(P) be the cost function representing the energy consumption and equipment wear cost during the cutting process, R(P) be the risk function representing the safety risk during the cutting process, λ be the weighting factor, which usually takes the value range of 0≤λ≤1, and P be the cutting parameter vector. Here, there are two extreme cases for the value of λ: first, when λ is 0, the risk function is completely ignored and only the cost function is considered; second, when λ is 1, the cost function is completely ignored and only the risk function is considered. For normal application, the actual value of λ is 0<λ<1.

[0028] Among them, E i Let d be the energy consumption at the i-th cutting point. i Let W be the cutting depth at the i-th cutting point. i Let v be the equipment wear coefficient at the i-th cutting point. i Let N be the cutting speed at the i-th cutting point, and N be the total number of cutting points.

[0029] Among them, S i k is the safety factor for the i-th cutting point. i S is the risk attenuation coefficient for the i-th cut point. i and k i The values ​​are obtained through calculations based on historical data.

[0030] The tunneling machine control unit also includes a tunneling path optimization function, which satisfies the following formula.

[0031] Where A is the path matrix representing the terrain and obstacle information of the path, it is usually a symmetric matrix, and the elements of A are... ij This can represent the cost or distance between path points i and j, where b is the path vector, typically a one-dimensional vector, and b is the path vector. iIt can represent the target direction or target location of path point i, c is a constant term representing the fixed cost or bias term of the path, and q represents the vector representation of the tunneling path. Each element q i q represents the position of a point on a path. In practical applications, q i It is a three-dimensional vector [x i y i , z i ] represents the coordinates of the i-th path point, q opt This represents the optimized tunneling path vector.

[0032] Here we use a simple two-dimensional path optimization example to illustrate this. There are three points on the path, and the path matrix A and path vector b are as follows: C=1 The path vector q represents the coordinates of three points on the path, for example... , The objective function is The specific calculations are as follows:

[0033]

[0034]

[0035] By taking the derivative and setting it to zero, the optimal path q can be obtained. opt .

[0036] In particular, fault diagnosis needs to meet the accuracy formula.

[0037] Among them, A c The formula represents accuracy. TP stands for True Positive Cases, indicating the number of faults correctly identified by the inspection robot; TN stands for True Negative Cases, indicating the number of normal states correctly identified by the inspection robot; FP stands for False Positive Cases, indicating the number of faults incorrectly identified by the inspection robot; and FN stands for False Negative Cases, indicating the number of normal states incorrectly identified by the inspection robot. This formula ensures the accuracy of diagnosis in practical applications. These are statistical terms, explained in detail below: True Positive Cases (TP) refer to the number of samples correctly predicted as positive by the model. Specifically, in a binary classification problem, if a sample's true label is positive (e.g., a patient has a certain disease), and the model also predicts it as positive, then this sample is counted as a True Positive Case.

[0038] Furthermore, the mobile device data transmission and remote control system also includes, The security encryption module is used to encrypt transmitted data and control commands to ensure the security of data transmission. Here, the encryption strength S satisfies... ;、 P here error The probability of error is the probability that data will be incorrectly decoded during transmission. The encryption strength S ensures that P... error It is small enough to ensure the security of data transmission. Here, the actual error rate of the system is tested experimentally; for example, a large number of known data packets can be sent, and then the error rate at the receiving end can be checked to calculate the error probability.

[0039] The fault-tolerant module is used to automatically switch to a backup channel or execute a preset fault-tolerant strategy when a fault occurs during data transmission or control command reception.

[0040] The mobile device data transmission and remote control system also includes, The data storage module is used to store the collected data and the historical records of control commands; The data analysis module is used to analyze the collected data and generate equipment operation reports and fault warning information.

[0041] Furthermore, it also includes a computer device, which includes a memory and a processor. The memory stores computer programs, and the processor executes the computer programs to perform functions.

[0042] If the functionality is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this invention. The storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0043] The logic and / or steps shown in the device diagram or otherwise depicted herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-including system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can mean any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device.

[0044] More specific examples (a non-exhaustive list) of computer-readable media include: electrical connections (electronic devices) having one or more wires, portable computer disk drives (magnetic devices), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Furthermore, computer-readable media can even be paper or other suitable media on which programs can be printed, because programs can be obtained electronically, for example, by optically scanning the paper or other media, followed by editing, interpreting, or otherwise processing as necessary, and then stored in computer memory.

[0045] Working Principle: First, during system initialization, the 5G communication system is activated, deploying 5G networks both above and below ground in the mine to ensure the establishment of a dedicated 5G network with full coverage. Simultaneously, an MEC core network is deployed in the mine's core computer room to enable data interaction between 5G and the mine's industrial ring network. Next, the data acquisition module begins operation, collecting operational status data, video information, and sensor data from mobile devices (such as coal mining machines, tunneling machines, rubber-tired vehicles, and inspection robots). Then, the collected data is transmitted to the control center via the 5G network, ensuring high bandwidth and high reliability. The control center sends control commands to the mobile devices via the 5G network. The mobile devices execute corresponding operations based on the received control commands, such as remote centralized control and memory cutting of the coal mining machine, remote control and memory cutting of the tunneling machine, remote control and path planning of the rubber-tired vehicle, and remote control and fault diagnosis of the inspection robot. Simultaneously, optimization formulas are used to optimize the cutting parameters of the coal mining machine and the tunneling path of the tunneling machine, balancing cost and risk to ensure optimal path performance. Furthermore, the inspection robot performs fault diagnosis based on the collected data, ensuring the accuracy of the diagnosis. The security encryption module encrypts transmitted data and control commands to ensure data transmission security. The fault tolerance module automatically switches to a backup channel or executes a preset fault tolerance strategy when a fault occurs during data transmission or control command reception. The data storage module stores the historical records of collected data and control commands, while the data analysis module analyzes the collected data to generate equipment operation reports and fault warning information.

[0046] The technical scope of this invention is not limited to the content described above. Those skilled in the art can make various modifications and variations to the above embodiments without departing from the technical concept of this invention, and all such modifications and variations should fall within the protection scope of this invention.

Claims

1. A 5G-MEC-based intelligent mine integrated control platform, characterized in that: Comprising, 5G communication system for realizing 5G full-coverage private network on and under the mine, wherein the macro base station is mainly used on the mine, PTN and BBU are arranged, and a loop is formed with the communication lines of two operators; the 5G wireless base station under the mine is deployed by using micro base station, RRU is used for remote coverage, and optical fiber is used as the connection medium; MEC core network is deployed in the mine core machine room, is hung below the switch and is connected with the existing 10G industrial network of the mine, realizes the data interaction of 5G and the industrial ring network of the mine; Mobile device data transmission and remote control system, including coal winning machine, heading machine, belt machine inspection robot, rubber-tyred vehicle, through installing CPE at the end, high-speed transmission of all sensing data, video information and parameter control signal is realized by means of high bandwidth and high reliability of 5G network; Unattended system based on 5G industrial control scene application research, video, audio and sensor signals are transmitted to the ground through 5G network by setting industrial cameras and sensors on the mining working face, the ground operator remotely operates the equipment according to the video, audio and sensor information of the mining working face, the control command is transmitted to the mining working face through 5G network, the equipment action is controlled, and unattended or less manned operation of the mining working face is realized.

2. The 5G-MEC-based intelligent mine integrated control platform according to claim 1, characterized in that: The mobile device data transmission and remote control system comprises, Data acquisition module for acquiring running state data, video information and sensor data of mobile device; Data transmission module for transmitting the acquired data to the control center through 5G network; Control instruction receiving module for receiving control instruction sent by the control center through 5G network; Control execution module for remotely controlling the mobile device according to the received control instruction.

3. The 5G-MEC-based intelligent mine integrated control platform according to claim 2, characterized in that: The data acquisition module further comprises, Coal winning machine data acquisition unit for acquiring running state data, cutting parameters and video monitoring data of the coal winning machine; Heading machine data acquisition unit for acquiring running state data, navigation data and video monitoring data of the heading machine; Rubber-tyred vehicle data acquisition unit for acquiring running state data, position information and video monitoring data of the rubber-tyred vehicle; Inspection robot data acquisition unit for acquiring running state data, inspection video data and sensor data of the belt machine inspection robot.

4. The 5G-MEC-based intelligent mine integrated control platform according to claim 2, characterized in that: The control execution module comprises, Coal winning machine control unit for remotely centralized control and memory cutting of the coal winning machine according to the control instruction; Heading machine control unit for remotely controlling and memory cutting of the heading machine according to the control instruction; Rubber-tyred vehicle control unit for remotely controlling and path planning of the rubber-tyred vehicle according to the control instruction; Inspection robot control unit for remotely controlling and fault diagnosis of the belt machine inspection robot according to the control instruction.

5. The 5G-MEC-based intelligent mine integrated control platform according to claim 3, characterized in that: The cutting parameters are optimized by an optimization formula, wherein P opt1 is an optimized cutting parameter vector, C(P) is a cost function used to represent the energy consumption and equipment wear cost in the cutting process, R(P) is a risk function representing the safety risk in the cutting process, λ is a weight factor, usually taking a value range of 0≤λ≤1, and P is a cutting parameter vector; wherein E i is the energy consumption of the i-th cutting point, d i is the cutting depth of the i-th cutting point, W i is the equipment wear coefficient of the i-th cutting point, v i is the cutting speed of the i-th cutting point, and N is the total number of cutting points; wherein S i is the safety coefficient of the i-th cutting point, k i is the risk attenuation coefficient of the i-th cutting point, S i and k i are obtained by calculating the historical data summary.

6. The 5G-MEC-based intelligent mine integrated control platform of claim 4, characterized in that: The tunneling machine control unit further comprises tunneling optimization for the tunneling path, the tunneling optimization satisfies the following formula, Wherein A is a path matrix representing the terrain and obstacle information of the path, generally a symmetric matrix, the element A ij of A can represent the cost or distance between path point i and path point j, b is a path vector, generally a one-dimensional vector, the element b i of b can represent the target direction or target position of path point i, c is a constant term representing the fixed cost or bias term of the path, q represents the vector representation of the tunneling path, each element q i represents the position of a point on the path, in practical application, q i is a three-dimensional vector [x i , y i , z i ], representing the coordinates of the i-th path point.

7. The 5G-MEC-based intelligent mine integrated control platform according to claim 6, characterized in that: The fault diagnosis needs to satisfy an accuracy formula, Wherein, A c Indicates the accuracy rate, TP is the true positive indicating the number of faults correctly identified by the inspection robot, TN is the true negative indicating the number of normal states correctly identified by the inspection robot, FP is the false positive indicating the number of faults incorrectly identified by the inspection robot, and FN is the false negative indicating the number of normal states incorrectly identified by the inspection robot. The formula ensures the accuracy of the diagnosis in actual application.

8. The 5G-MEC-based intelligent mine integrated control platform according to claim 7, characterized in that: The mobile device data transmission and remote control system further comprises, Security encryption module for encrypting the transmitted data and control instruction to ensure the safety of data transmission; Fault tolerance module for automatically switching to a backup channel or executing a preset fault tolerance strategy when a fault occurs in the data transmission or control instruction receiving process.

9. The 5G-MEC-based intelligent mine integrated control platform according to claim 8, characterized in that: The mobile device data transmission and remote control system further comprises, Data storage module for storing the history record of the acquired data and control instruction; A data analysis module is configured to analyze the collected data and generate a device operation report and a fault warning information.

10. The 5G-MEC-based intelligent mine integrated control platform according to claim 9, characterized in that: The application further provides a computer device, which comprises a memory and a processor. The memory stores a computer program. The processor implements the functions of any one of claims 1-9 when executing the computer program.

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