Underground mine mining work evaluation method, equipment, system and medium

Abstract

The invention relates to an underground mine mining work evaluation method, device and system and a medium, and belongs to the technical field of mine field management.The method comprises the steps that positive indexes and negative indexes of a carry-scraper driver are obtained; wherein the positive indexes comprise the total underground working time length of a driver, the mineral mining quantity in each working stope and the moving distance of driving a carry-scraper; the negative indexes comprise work violation times; determining the positive influence degree on the mining work according to the positive index, and determining the negative influence degree on the mining work according to the negative index; and generating a mining work evaluation result of the carry-scraper driver according to the positive influence degree and the negative influence degree. The mining work of the driver is evaluated from multiple dimensions, the evaluation mode is more reasonable, and the evaluation result can more accurately reflect the mining work completion condition of the driver.

Description

Technical Field

[0001] The present invention relates to the technical field of mine management, and particularly to a method, device, system and medium for evaluating underground mine mining work. Background Art

[0002] The production work in underground mines has special characteristics such as complex environment, limited working space, and many potential safety hazards. As the main ore-hauling equipment, the load-haul-dump (LHD) vehicle undertakes the key task of ore transportation in mine production. Therefore, the work situation of the LHD vehicle driver directly affects the execution result of the mine production operation plan, so it is necessary to accurately grasp the work situation of the driver. However, the existing evaluation methods for the work situation of LHD vehicle drivers have obvious deficiencies. The existing evaluation methods generally evaluate the driver's work by the administrator manually counting the total working hours of the LHD vehicle driver underground or the number of ore buckets dug. This evaluation method has a single evaluation dimension and cannot accurately reflect the work situation of the driver. Summary of the Invention

[0003] In view of this, it is necessary to provide a method, device, system and medium for evaluating underground mine mining work to solve the problems that the existing evaluation methods for the work situation of LHD vehicle drivers are not intelligent enough and not accurate enough.

[0004] To solve the above problems, in a first aspect, the present invention provides a method for evaluating underground mine mining work, including: Obtaining positive indicators and negative indicators of an LHD vehicle driver; wherein, the positive indicators include: the total underground working hours of the driver, the mineral extraction volume in each working stope, and the moving distance of driving the LHD vehicle; the negative indicators include: the number of work violations; Determining the positive impact degree on mining work according to the positive indicators, and determining the negative impact degree on mining work according to the negative indicators; Generating an evaluation result of the mining work of the LHD vehicle driver according to the positive impact degree and the negative impact degree.

[0005] In a possible implementation manner, the mineral extraction volume includes the total volume of the extracted minerals, the positive impact degree includes a positive impact score, and the negative impact degree includes a negative impact score; the determining the positive impact degree on mining work according to the positive indicators, and determining the negative impact degree on mining work according to the negative indicators, includes: Calculating the positive impact score through the following formula:

[0006] Wherein, represents the positive impact score, represents the total underground working hoursT Calculation coefficient Indicates the number of working stopes entered by the driver Indicates the n th mining difficulty coefficient of the working stope Indicates the moving distance of the LHD driver driving the LHD in the n th working stope Calculation coefficient Indicates and Ratio calculation coefficient Indicates the total volume of minerals mined in the n th working stope Indicates the standard volume of the LHD bucket; The negative impact score is calculated through the following formula:

[0007] Among them, Indicates the positive impact score, Indicates the number of work violations N Calculation coefficient

[0008] In a possible implementation, the mining work evaluation result includes a mining work score; generating the mining work evaluation result of the LHD driver according to the positive impact degree and the negative impact degree includes: Taking the difference between the positive impact score and the negative impact score as the mining work score

[0009] In a possible implementation, obtaining the total volume of minerals mined by the LHD driver in each working stope includes: Identifying the LHD bucket image data taken in the working stope through a trained first image recognition model to obtain the empty bucket situation of the LHD in the working stope; Determining the volume of minerals in the bucket before each empty bucket according to the empty bucket situation of the bucket; Summing up the volumes of minerals to obtain the total volume of minerals mined in the working stope

[0010] In a possible implementation, determining the volume of minerals in the bucket before each empty bucket according to the empty bucket situation of the bucket includes: Identifying the LHD bucket image data before each empty bucket according to the empty bucket situation of the bucket to obtain the average stacking height of minerals in the bucket before each empty bucket; Determining the volume of minerals corresponding to the average stacking height of minerals according to the mapping relationship between the stacking height and the volume of minerals

[0011] In a possible implementation, obtaining the number of work violations of a scraper operator includes: Using the trained second image recognition model to identify the driver image data to obtain the work violations of the scraper operator; the work violations include: fatigue driving behavior and smoking behavior; Statistical analysis of the work violations to obtain the number of work violations.

[0012] In a possible implementation, obtaining the moving distance of the scraper operator driving the scraper in each working stope includes: Determining the moving distance of the scraper operator driving the scraper in each working stope according to the driving data of the scraper.

[0013] In a second aspect, the present invention further provides an underground mine mining work evaluation device, including: a memory and a processor, wherein the memory is used to store a program; the processor is coupled to the memory and is used to execute the program stored in the memory to implement the steps in the underground mine mining work evaluation method described in any one of the above.

[0014] In a third aspect, the present invention further provides an underground mine mining work evaluation system, including an underground mine mining work evaluation device and a scraper, and the underground mine mining work evaluation device is communicatively connected to the scraper; The scraper is used to send the driving data and camera data of the scraper to the underground mine mining work evaluation device; The underground mine mining work evaluation device is used to determine the positive indicators and negative indicators of the scraper operator according to the driving data and camera data; wherein, the positive indicators include: the total working time of the driver going down the well, the mineral extraction amount in each working stope, and the moving distance of driving the scraper; the negative indicators include: the number of work violations; Determining the positive impact degree on the mining work according to the positive indicators, and determining the negative impact degree on the mining work according to the negative indicators; Generating an evaluation result of the mining work of the scraper operator according to the positive impact degree and the negative impact degree.

[0015] In a fourth aspect, the present invention further provides a computer-readable storage medium for storing a computer-readable program, and when the program or instruction is executed by a processor, it can implement the steps in the underground mine mining work evaluation method described in any one of the above.

[0016] The beneficial effects of the present invention are: The present invention positively evaluates the mining work of a driver from multiple dimensions such as the total working hours of the driver underground, the mineral extraction volume in each working stope, and the moving distance of the load-haul-dump vehicle driven by the driver. The evaluation dimensions are more comprehensive, the evaluation method is more reasonable, and the evaluation results can more accurately reflect the driver's mining work. In addition, the present invention negatively evaluates the driver's mining work from the dimension of the number of work violations of the driver, further enabling the evaluation results to reflect the driver's compliance with safety regulations, so that the management side can reasonably arrange the mine production operation plan and promptly publicize safety regulations, reduce the accident rate, and improve the safety of the mining area. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the drawings in the following description are only some embodiments of the present invention. For those skilled in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0018] Figure 1 It is a schematic flowchart of an embodiment of the underground mine mining work evaluation method provided by the present invention; Figure 2 It is a schematic flowchart of a data collection provided by the present invention; Figure 3 It is a schematic structural diagram of an embodiment of the underground mine mining work evaluation device provided by the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0019] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative efforts belong to the scope of protection of the present invention.

[0020] In the description of the embodiments of the present invention, unless otherwise specified, "a plurality" means two or more. "And / or" describes the association relationship of associated objects and indicates that three relationships can exist. For example, A and / or B can represent: A exists alone, A and B exist simultaneously, and B exists alone. The character " / " generally represents an "or" relationship between the associated objects before and after.

[0021] In the embodiments of the present invention, the "first", "second", etc. involved are used to distinguish similar objects, rather than to describe a specific order or sequence, nor to indicate or imply their relative importance or implicitly specify the quantity of the indicated technical features. It should be understood that such data used can be interchanged under appropriate circumstances, so that the embodiments of the present application can be implemented in an order other than those illustrated or described herein, and the objects distinguished by "first", "second", etc. are usually of one category, and the number of objects is not limited. For example, the first object can be one or multiple.

[0022] Referring to

[0023] Referring to Figure 1 , a flowchart of an embodiment of the underground mine mining work evaluation method provided by the present invention is shown. The method includes: S101, obtaining the positive indicators and negative indicators of the LHD driver; wherein, the positive indicators include: the total duration of the driver's underground work, the mineral extraction volume in each working stope, and the moving distance of driving the LHD; the negative indicators include: the number of work violations.

[0024] The positive indicators and negative indicators of the LHD driver can be determined according to the driving data and camera data of the LHD. Among them, the driving data can include the driving path, driving distance, etc. The camera data can include the bucket image data and the driver image data, etc.

[0025] According to the driving data and / or camera data of the LHD, the time for the LHD driver to enter and exit the well can be determined, and the total duration of the driver's underground work can be calculated based on the time for entering and exiting the well. Specifically, if the driver enters multiple working stopes for underground mining work, the total duration of the underground work in the multiple working stopes can be added up to obtain the total duration of the underground work.

[0026] According to the driving data and / or camera data of the LHD, the working conditions such as the working stope entered by the driver, the driving distance of driving the LHD in the working stope, and the mineral extraction volume in the working stope can be determined. Among them, the mineral extraction volume can include the total volume of the extracted minerals.

[0027] According to the driver image data, the driver's work violation behaviors can be determined. The work violation behaviors include: fatigue driving behavior and smoking behavior. By counting the work violation behaviors, the number of work violations can be obtained.

[0028] S102. Determine the degree of positive impact on the mining work according to the positive indicators, and determine the degree of negative impact on the mining work according to the negative indicators.

[0029] The weighted calculation can be performed on each positive indicator to obtain the positive impact score on the mining work, and the negative impact score on the mining work can be obtained according to the product of the negative indicator and its weight coefficient.

[0030] S103. Generate the mining work evaluation result of the LHD driver according to the degree of positive impact and the degree of negative impact.

[0031] The mining work evaluation result can include the mining work score, and the difference between the positive impact score and the negative impact score can be used as the mining work score.

[0032] Through this embodiment, the mining work of the LHD driver within a preset time period can be evaluated to obtain the mining work evaluation result. Among them, the preset time period can be one day, one week or one month, and the preset time period can be set according to actual needs.

[0033] The underground mine mining work evaluation method provided in this embodiment can be applied to an underground mine mining work evaluation software system, and the underground mine mining work evaluation software system can be a software system running on a terminal device. The terminal device can be a tablet computer, an Augmented Reality (AR) / Virtual Reality (VR) device, a notebook computer, an Ultra-Mobile Personal Computer (UMPC), a netbook, a Personal Digital Assistant (PDA), a mobile phone and other terminal devices. This embodiment does not impose any restrictions on the specific type of the terminal device.

[0034] The terminal device can be communicatively connected to the LHD, so that the underground mine mining work evaluation software system can obtain the driving data and camera data of the LHD through the LHD, and analyze the driving data and camera data of the LHD to obtain each positive indicator and negative indicator of the LHD driver. A wheel encoder or a GPS positioning system can be included on the LHD to record the driving data of the LHD, and a plurality of camera devices can also be included on the LHD, and the plurality of camera devices are respectively used to capture images of the driver and the bucket on the LHD.

[0035] In summary, the beneficial effects of this embodiment include: positively evaluating the mining work of the driver from multiple dimensions such as the total duration of the driver's underground work, the amount of minerals mined in each working stope, and the moving distance of the load-haul-dump (LHD) vehicle driven by the driver. The evaluation dimensions are more comprehensive, the evaluation method is more reasonable, and the evaluation results can more accurately reflect the driver's mining work. In addition, the present invention also negatively evaluates the driver's mining work from the dimension of the number of work violations, further enabling the evaluation results to reflect the driver's compliance with safety regulations, so that the management side can reasonably arrange the mine production operation plan and promptly publicize safety regulations, reduce the accident rate, and improve the safety of the mining area.

[0036] Moreover, this embodiment can automatically complete the evaluation of the driver's mining work through the underground mine mining work evaluation software system. Through precise data analysis and real-time monitoring, it avoids the interference of human factors, thus ensuring the accuracy of the evaluation results, more truly reflecting the driver's work performance, and improving the efficiency of completing the evaluation work.

[0037] In some embodiments of the present invention, step S102 includes: Calculating the positive impact score through the following formula:

[0038] Wherein, represents the positive impact score, represents the total duration of underground work T is the calculation coefficient of represents the number of working stopes entered by the driver, represents the n th working stope's mining difficulty coefficient, represents the distance the LHD vehicle driver drives the LHD vehicle in the n th working stope is the calculation coefficient of represents and the calculation coefficient of the ratio of represents the total volume of minerals mined in the n th working stope, represents the standard volume of the LHD vehicle bucket; Calculating the negative impact score through the following formula:

[0039] Wherein, represents the positive impact score, represents the number of work violations N is the calculation coefficient of

[0040] In some embodiments of the present invention, the moving distance can be obtained through a wheel encoder on the scraper. The wheel encoder records the rotation degrees of the wheels of the scraper. Therefore, the moving distance of the scraper in the working stope can be calculated according to the following formula:

[0041] Wherein, represents the moving distance of the scraper in the working stope n ; represents the rotation degrees of the wheels of the scraper in the working stope n ; represents the wheel circumference.

[0042] In some embodiments of the present invention, during the underground mining process, the excavation face changes over time, that is, the mining difficulty changes. Therefore, the mining difficulty coefficient of the working stope can be updated according to the excavation progress of the working stope.

[0043] In some embodiments of the present invention, referring to Figure 2 , the steps of obtaining the total volume of the mined minerals of the scraper driver in each working stope may include: S201, identifying the image data of the scraper bucket taken in the working stope through a trained first image recognition model to obtain the empty bucket situation of the scraper bucket in the working stope.

[0044] The empty bucket situation of the scraper bucket may include the number of empty buckets of the scraper bucket and the time at each empty bucket.

[0045] S202, determining the volume of the minerals in the scraper bucket before each empty bucket according to the empty bucket situation of the scraper bucket.

[0046] By further identifying the image data of the scraper bucket before each empty bucket, the volume of the minerals in the scraper bucket before each empty bucket can be determined.

[0047] S203, summing up the volumes of the minerals to obtain the total volume of the mined minerals in the working stope .

[0048] The embodiments of the present invention realize the automatic monitoring of the total volume of the mined minerals in each working stope entered by the driver through image recognition technology, which can reduce the workload of manual data collection and data analysis by the management personnel, reduce the interference of human factors, and improve the efficiency of the evaluation of the driver's mining work.

[0049] In some embodiments of the present invention, the step of determining the volume of minerals in the bucket before each empty bucket according to the empty bucket condition of the bucket may include: determining the position of the scraper when the bucket is empty, and determining whether the position is within a preset range of a preset mineral discharge position; if the position is within the preset range, using the position as a valid discharge position; if the position is not within the preset range, using the position as an invalid discharge position; determining the volume of minerals discharged by the scraper at the valid discharge position.

[0050] In some embodiments of the present invention, the step of determining the volume of minerals in the bucket before each empty bucket according to the empty bucket condition of the bucket includes: identifying the image data of the bucket before each empty bucket according to the empty bucket condition of the bucket to obtain the average stacking height of the minerals in the bucket before each empty bucket; determining the volume of minerals corresponding to the average stacking height of the minerals according to the mapping relationship between the stacking height and the volume of minerals.

[0051] In some embodiments of the present invention, the bucket image can be processed by using median filtering technology before image recognition to remove isolated noise points in the bucket image. Among them, the median filtering technology refers to the technology of traversing the image with a sliding window, sorting the pixel values in the window, and then replacing the pixel value at the center of the window with the median value.

[0052] When recognizing the image, certain features in the image (such as light and shadow effects, relative positions with the bucket edge, etc.) or other auxiliary means (such as markers installed at different height positions of the bucket to assist in judgment) can be used to estimate the average stacking height of the minerals.

[0053] In some embodiments of the present invention, the step of obtaining the number of work violations of the scraper driver may include: identifying the driver image data through a trained second image recognition model to obtain the violation situation of the scraper driver; the violation situation includes: fatigue driving behavior and smoking behavior; counting the work violation behaviors to obtain the number of work violations.

[0054] The present invention also correspondingly provides an underground mine mining work evaluation device 300. The underground mine mining work evaluation device 300 includes a processor 301, a memory 302 and a display 303. Figure 3 Only some components of the underground mine mining work evaluation device 300 are shown, but it should be understood that it is not required to implement all the shown components, and more or fewer components can be alternatively implemented.

[0055] In some embodiments, the processor 301 may be a central processing unit (CPU), a microprocessor or other data processing chips, and is used to run the program code stored in the memory 302 or process data, such as the underground mine mining work evaluation method in the present invention.

[0056] In some embodiments, the processor 301 may be a single server or a server group. The server group may be centralized or distributed. In some embodiments, the processor 301 may be local or remote. In some embodiments, the processor 301 may be implemented on a cloud platform. In one embodiment, the cloud platform may include a private cloud, a public cloud, a hybrid cloud, a community cloud, a distributed cloud, an internal cloud, a multi-cloud, etc., or any combination thereof.

[0057] The memory 302 may be an internal storage unit of the underground mine mining work evaluation device 300 in some embodiments, such as a hard disk or a memory of the underground mine mining work evaluation device 300. The memory 302 may also be an external storage device of the underground mine mining work evaluation device 300 in some other embodiments, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) card, a Flash Card, etc. equipped on the underground mine mining work evaluation device 300.

[0058] Furthermore, the memory 302 may include both an internal storage unit and an external storage device of the underground mine mining work evaluation device 300. The memory 302 is used to store the application software installed on the underground mine mining work evaluation device 300 and various types of data.

[0059] The display 303 may be an LED display, a liquid crystal display, a touch liquid crystal display, and an OLED (Organic Light-Emitting Diode) toucher, etc. in some embodiments. The display 303 is used to display the information on the underground mine mining work evaluation device 300 and to display a visual user interface. The components 301-303 of the underground mine mining work evaluation device 300 communicate with each other through a system bus.

[0060] In one embodiment, when the processor 301 executes the underground mine mining work evaluation program in the memory 302, the following steps may be implemented: Determine the total duration of the underground work of the LHD driver, the working conditions in each working stope, and the work violation conditions according to the driving data and camera data of the LHD; Generate a first mining work evaluation result of the LHD driver according to the total duration of the underground work, the preset mining difficulty of each working stope, the working conditions, and the work violation conditions.

[0061] It should be understood that when the processor 301 executes the underground mine mining work evaluation program in the memory 302, in addition to the above functions, other functions can also be realized. For specific details, reference can be made to the description of the corresponding method embodiments above.

[0062] Furthermore, the embodiments of the present invention do not specifically limit the type of the underground mine mining work evaluation device 300 mentioned. The underground mine mining work evaluation device 300 can be a portable electronic device such as a mobile phone, a tablet computer, a personal digital assistant (PDA), a wearable device, a laptop computer, etc. Exemplary embodiments of the portable electronic device include, but are not limited to, portable electronic devices equipped with IOS, android, microsoft, or other operating systems. The above portable electronic devices can also be other portable electronic devices, such as a laptop computer with a touch-sensitive surface (such as a touch panel). It should also be understood that in some other embodiments of the present invention, the underground mine mining work evaluation device 300 can also not be a portable electronic device, but a desktop computer with a touch-sensitive surface (such as a touch panel).

[0063] In one embodiment, the present invention also provides an underground mine mining work evaluation system, including the above-mentioned underground mine mining work evaluation device and a mucking loader, and the underground mine mining work evaluation device is communicatively connected to the mucking loader; The mucking loader is used to send the driving data and camera data of the mucking loader to the underground mine mining work evaluation device; The underground mine mining work evaluation device is used to, upon receiving the data including the underground mine mining work evaluation device and the mucking loader, the underground mine mining work evaluation device is communicatively connected to the mucking loader; The mucking loader is used to determine the positive indicators and negative indicators of the mucking loader driver according to the driving data and camera data; wherein, the positive indicators include: the total duration of the driver's underground work, the mineral extraction volume in each working stope, and the moving distance of driving the mucking loader; the negative indicators include: the number of work violations; Determine the positive impact degree on the mining work according to the positive indicators, and determine the negative impact degree on the mining work according to the negative indicators; Generate the mining work evaluation result of the mucking loader driver according to the positive impact degree and the negative impact degree.

[0064] In a preferred embodiment, the mucking loader can include a wheel encoder or a GPS positioning system to record the driving data of the mucking loader. At the same time, the mucking loader can also include multiple camera devices, and the multiple camera devices are respectively used to photograph the driver and the bucket on the mucking loader.

[0065] In one embodiment, the present invention further provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by the processor, the steps of any one of the underground mining work evaluation methods described above are implemented.

[0066] Those skilled in the art can understand that all or part of the processes for implementing the methods of the above embodiments can be completed by instructing relevant hardware through a computer program, and the program can be stored in a computer-readable storage medium. Among them, the computer-readable storage medium is a magnetic disk, an optical disk, a read-only memory or a random access memory, etc.

[0067] As described above, only the preferred specific embodiments of the present invention are provided, but the protection scope of the present invention is not limited thereto. Any changes or substitutions that can be easily thought of by those skilled in the art within the technical scope disclosed by the present invention should be covered by the protection scope of the present invention.

Claims

1. An underground mine mining work evaluation method, characterized in that, Including: Obtaining positive and negative indicators of a load-haul-dump (LHD) driver; wherein, the positive indicators include: the total working hours of the driver underground, the mineral extraction volume in each working stope, and the moving distance of driving the LHD; the negative indicators include: the number of work violations. Determining the positive impact degree on mining work according to the positive indicators, and determining the negative impact degree on mining work according to the negative indicators. Generating an evaluation result of the mining work of the LHD driver according to the positive impact degree and the negative impact degree.

2. The underground mine mining work evaluation method according to claim 1, characterized in that The mineral extraction volume includes the total volume of extracted minerals, the positive impact degree includes a positive impact score, and the negative impact degree includes a negative impact score; the determining the positive impact degree on mining work according to the positive indicators, and determining the negative impact degree on mining work according to the negative indicators includes: Calculating the positive impact score through the following formula: Among them, represents the positive impact score, represents the total duration of underground work T as the calculation coefficient, represents the number of working stopes entered by the driver, represents the n th mining difficulty coefficient of the working stope, represents the moving distance of the LHD driver driving the LHD in the n th working stope as the calculation coefficient, represents and the calculation coefficient of the ratio, represents the total volume of minerals mined in the n th working stope, represents the standard volume of the LHD bucket; Calculating the negative impact score through the following formula: Among them, represents the positive impact score, represents the number of work violations N and the calculation coefficient.

3. The underground mine mining work evaluation method according to claim 2, characterized in that, The evaluation result of the mining work includes a mining work score. The generating an evaluation result of the mining work of the LHD driver according to the positive impact degree and the negative impact degree includes: Taking the difference between the positive impact score and the negative impact score as the mining work score.

4. The underground mine mining work evaluation method according to claim 2, wherein, Obtaining the total volume of extracted minerals of the LHD driver in each working stope, including: Identifying the image data of the bucket taken in the working stope through a trained first image recognition model to obtain the empty bucket situation of the bucket in the working stope. Determining the volume of minerals in the bucket before each empty bucket according to the empty bucket situation of the bucket. Summing up the volume of minerals to obtain the total volume of extracted minerals in the working stope.

5. The underground mine mining work evaluation method according to claim 4, characterized in that, The determining the volume of minerals in the bucket before each empty bucket according to the empty bucket situation of the bucket includes: Identifying the image data of the bucket before each empty bucket according to the empty bucket situation of the bucket to obtain the average stacking height of minerals in the bucket before each empty bucket. Determining the volume of minerals corresponding to the average stacking height of minerals according to the mapping relationship between the stacking height and the volume of minerals.

6. The underground mine mining work evaluation method according to claim 1, wherein, Obtaining the number of work violations of the LHD driver, including: Identifying the driver image data through a trained second image recognition model to obtain the work violation behaviors of the LHD driver; the work violation behaviors include: fatigue driving behavior and smoking behavior. Statistical counting the work violation behaviors to obtain the number of work violations.

7. The underground mine mining work evaluation method according to claim 1, characterized in that Obtaining the moving distance of the LHD driver driving the LHD in each working stope, including: Determining the moving distance of the LHD driver driving the LHD in each working stope according to the driving data of the LHD.

8. An underground mine mining work evaluation device, characterized in that, Including: A memory and a processor, wherein, The memory is used for storing programs. The processor is coupled to the memory and is used for executing the programs stored in the memory to implement the steps in the underground mine mining work evaluation method described in any one of claims 1 to 7 above.

9. An underground mine mining work evaluation system, characterized in that, Including an underground mine mining work evaluation device and an LHD, and the underground mine mining work evaluation device is communicatively connected to the LHD. The scraper is used to send the driving data and camera data of the scraper to the underground mine mining work evaluation device; The underground mine mining work evaluation device is used to determine the positive indicators and negative indicators of the scraper driver according to the driving data and camera data; wherein, the positive indicators include: the total duration of the driver's work underground, the amount of minerals mined in each working stope, and the moving distance of driving the scraper; the negative indicators include: the number of work violations; Determine the positive impact degree on the mining work according to the positive indicators, and determine the negative impact degree on the mining work according to the negative indicators; Generate the mining work evaluation result of the scraper driver according to the positive impact degree and the negative impact degree.

10. A computer-readable storage medium, characterized in that, It is used to store computer-readable programs, and when the programs or instructions are executed by a processor, the steps in the underground mine mining work evaluation method described in any one of the above claims 1 to 7 can be implemented.

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