Mine car monitoring method and system based on opencast coal mine

Abstract

The invention discloses a mine car monitoring method and system based on an open pit coal mine, and relates to the technical field of mine car monitoring. System performance of mine cars is monitored and analyzed, then all the mine cars are maintained, and the working efficiency of all the mine cars is guaranteed; then the working stability condition of each mine car and the dangerous condition of each transportation road are analyzed, so that each transportation road corresponding to each mine car is obtained through matching, the safety of each mine car during mineral transportation is ensured, and transportation weight reduction is performed on each mine car according to the danger level of each transportation road; meanwhile, movable partition plates are installed in carriages of all the mine cars, and the weights of the minerals in all the areas in the carriages are determined according to the abrasion conditions of all the tires. Damage of tires due to overweight caused by uphill or turning of the mine car in the running process can be effectively avoided, and the possibility of rollover of the mine car is also avoided.

Description

Technical Field

[0001] The present application relates to the technical field of mine car monitoring, and in particular to a mine car monitoring method and system based on an open-pit coal mine. Background Art

[0002] When a mine car is transporting minerals, problems such as vehicle rollover or mineral falling may occur due to the heavy minerals or rugged transportation roads. Therefore, selecting appropriate transportation roads and mineral loads according to the performance of each mine car can effectively avoid the problems of mine car rollover and mineral falling. Therefore, this application proposes a mine car monitoring method and system based on open-pit coal mines.

[0003] The prior art, such as the invention application patent with announcement number: CN117576691B, discloses a rail mine car scheduling method and system based on deep learning, including: obtaining a vibration amplitude data sequence of each car of each mine car; obtaining abnormal vibration amplitude data based on the vibration amplitude data sequence; obtaining the track wear position based on the abnormal vibration amplitude data; obtaining the degree of inclination of each car of each mine car at each track wear position; obtaining the predicted degree of inclination of each car of each mine car to be scheduled at each track wear position based on the inclination degree; obtaining the rollover risk judgment result of each mine car to be scheduled at each track wear position based on the predicted inclination degree; and planning and scheduling each mine car to be scheduled based on the rollover risk judgment result.

[0004] Regarding the above scheme, there are the following technical problems: 1. The current technology mainly predicts the degree of inclination and then analyzes the risk of the mine car rolling over on the track, but the current technology does not take into account the analysis of the mine car's own performance, and then dispatches the mine car based on its performance. When a mine car is severely worn, even if the degree of track inclination is small, the mine car still has the risk of rolling over. The current technology ignores this aspect, resulting in a lack of rigor in the analysis of the risk of mine car rolling over.

[0005] 2. Current technology does not analyze and schedule the load of mine cars based on the risk of mine car rollover. Mine car rollover is not only related to the track inclination angle, but also closely related to the load of the mine car itself. When the mine car is overloaded, there is also a risk of minerals falling during transportation. Current technology ignores this aspect, resulting in a lack of comprehensive analysis of the risk of mine car rollover. Summary of the Invention

[0006] The purpose of this application is to provide a mine car monitoring method and system based on an open-pit coal mine, which solves the problems existing in the background technology.

[0007] In order to solve the above technical problems, the present application adopts the following technical solutions: In the first aspect, the present application provides a mine car monitoring method based on an open-pit coal mine, including: Step 1, mine car performance monitoring: number each mine car in the mining area, and monitor the working data of the suspension system, the working data of the braking system and the working data of the electrical system of each mine car within a preset period, and then conduct a comprehensive analysis to obtain each mine car to be repaired and each mine car not to be repaired, so as to perform maintenance on each mine car.

[0008] Step 2: Overall load analysis of mine cars: Obtain the service life and maintenance times of each mine car from the vehicle management center. Based on the comprehensive performance evaluation coefficient, service life and maintenance times of each mine car, analyze and obtain the working stability level of each mine car. At the same time, monitor the road data of each transportation road in the mining area to determine the danger level of each transportation road, thereby analyzing each transportation road of each mine car and determining the weight of the minerals transported by each mine car.

[0009] Step 3: Analysis of the load capacity of each mine car: After determining the weight of the minerals transported by each mine car, install movable partitions in the car when loading the cargo. According to the wear of each tire, different weights of minerals are allocated to different areas of the car.

[0010] In a second aspect, the present application provides a mine car monitoring system based on an open-pit coal mine, comprising: a mine car performance monitoring module, a mine car overall load analysis module and a mine car regional load analysis module.

[0011] Mine car performance monitoring module: Numbers each mine car in the mining area and monitors the working data of the suspension system, brake system and electrical system of each mine car within a preset period. Then, through comprehensive analysis, it determines which mine cars are waiting for maintenance and which are not, so as to carry out maintenance on each mine car.

[0012] Mine car overall load analysis module: obtains the service life and maintenance times of each mine car from the vehicle management center, and obtains the working stability level of each mine car based on the comprehensive performance evaluation coefficient, service life and maintenance times of each mine car. At the same time, monitors the road data of each transportation road in the mining area, and then determines the danger level of each transportation road, thereby analyzing each transportation road of each mine car and determining the weight of the minerals transported by each mine car.

[0013] Mining car area load analysis module: After determining the weight of the transported minerals of each mining car, when loading the cargo, movable partitions are installed in the car to distribute different weights of minerals to different areas of the car according to the wear of each tire.

[0014] The beneficial effects of the present application are: 1. The present application provides a mine car monitoring method and system based on open-pit coal mines. By monitoring and analyzing the system performance of the mine cars, each mine car is repaired to ensure the working efficiency of each mine car, and then the working stability of each mine car and the dangerous conditions of each transportation road are analyzed, so as to match the transportation roads corresponding to each mine car, thereby ensuring the safety of each mine car when transporting minerals, and according to the danger level of each transportation road, each mine car is transported with reduced weight to prevent the risk of mine car rollover and mineral falling caused by dangerous transportation roads and overloaded mine cars. At the same time, movable partitions are installed in the carriages of each mine car, and the weight of minerals in each area of the carriage is determined according to the wear of each tire. This can effectively prevent the tires of the mine car from being damaged due to overweight due to uphill or turning during driving, and also avoid the possibility of vehicle rollover.

[0015] 2. This application monitors and analyzes the performance of the suspension system, power system and electrical system of each mine car in the mining area, and then repairs each mine car, thereby ensuring the system performance and work efficiency of each mine car, and also providing data basis for the subsequent allocation of each mine car transportation route and load analysis.

[0016] 3. This application monitors and analyzes the working stability of each mine car and the dangerous conditions of each transportation road, and then matches each mine car with the corresponding transportation road, thereby ensuring the safety of the mine car when transporting minerals. At the same time, according to the danger level of each transportation road, each mine car is transported with reduced weight to prevent the danger of mine car rollover and mineral falling caused by dangerous transportation roads and overloaded mine cars, thereby avoiding the occurrence of mine car safety accidents. At the same time, movable partitions are installed in the carriages of each mine car to distinguish the minerals in the mine car carriages, thereby preventing the mine car from being overweight in a certain area due to uphill or turning during driving, thereby avoiding the risk of mine car tires being damaged due to overweight, and the risk of vehicle rollover, which is beneficial to extending the service life of mine car tires. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0018] Figure 1 The figure is a flowchart of the steps for implementing the application method.

[0019] Figure 2 This is a schematic diagram of the system structure connection for this application. DETAILED DESCRIPTION

[0020] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0021] Reference Figure 1 As shown, the present application provides a mine car monitoring method based on an open-pit coal mine in the first aspect, comprising the following steps: Step 1, mine car performance monitoring: number each mine car in the mining area, and monitor the working data of the suspension system, the working data of the braking system and the working data of the electrical system of each mine car within a preset period, and then conduct a comprehensive analysis to obtain each mine car to be repaired and each mine car not to be repaired, so as to perform maintenance on each mine car.

[0022] It should be noted that the preset period is set by relevant staff and is not specifically limited here.

[0023] In a specific example, the working data of the suspension system includes the deformation value of the spring and the expansion and contraction of the shock absorber collected at each preset time point in the suspension system; the working data of the braking system includes the braking distance and braking acceleration of the mine car collected at each preset time point; the working data of the electrical system includes the voltage and current of the motor collected at each preset time point.

[0024] It should be noted that the preset time points are set by relevant staff members and are not specifically limited here.

[0025] It should be noted that by installing a displacement sensor in the mine car suspension system, the deformation value of the spring and the expansion and contraction of the shock absorber can be measured; an inertial measurement unit is installed at the center of gravity of the mine car to measure the braking distance and braking acceleration of the mine car, where the braking acceleration can be a negative number; a multimeter is connected in series to the motor circuit to measure the voltage and current of the motor.

[0026] In a specific example, the comprehensive analysis obtains each mine car to be repaired and each mine car not to be repaired, and the specific analysis process is as follows: based on the working data of the suspension system, the working data of the braking system and the working data of the electrical system of each mine car, the suspension system performance evaluation coefficient, the braking system performance evaluation coefficient and the electrical system performance evaluation coefficient of each mine car at each preset time point within a preset period are respectively analyzed, and then the suspension system performance evaluation coefficient, the braking system performance evaluation coefficient and the electrical system performance evaluation coefficient of each mine car are input into the mine car comprehensive performance evaluation model, and the comprehensive performance evaluation coefficient of each mine car at each preset time point within the preset period is output according to the mine car comprehensive performance evaluation expression.

[0027] It should be noted that, through the calculation formula: The performance evaluation coefficient of the mine car's suspension system can be calculated Among them aW i and aQ i They respectively represent the spring deformation value of the suspension system and the expansion and contraction amount of the shock absorber, aW′ and aQ′ respectively represent the threshold value of the spring deformation value of the suspension system and the threshold value of the expansion and contraction amount of the shock absorber, wherein the threshold value of the spring deformation value of the suspension system and the threshold value of the expansion and contraction amount of the shock absorber are obtained by querying the instruction manual of the mine car, s1 and s2 respectively represent the weight factor corresponding to the spring deformation value of the suspension system and the weight factor corresponding to the expansion and contraction amount of the shock absorber, wherein the weight factor corresponding to the spring deformation value and the weight factor corresponding to the expansion and contraction amount of the shock absorber are analyzed by the hierarchical analysis method, which is an existing technology and is therefore not repeated here. Similarly, the performance evaluation coefficient of the brake system and the performance evaluation coefficient of the electrical system of the mine car can be analyzed in the same way as the performance evaluation coefficient of the suspension system of the mine car is obtained.

[0028] It should be noted that the spring deformation value and the expansion and contraction amount of the shock absorber selected in this application are intended to be used for the performance of the suspension system of the mine car. The working data of the suspension system collected can be any parameters related to the suspension system, and therefore cannot be understood as a limitation of this application. The same applies to the braking system and electrical system.

[0029] It should be noted that the comprehensive performance evaluation expression of the mine car is: Where χ is the comprehensive performance evaluation coefficient of the mine car.

[0030] The comprehensive performance evaluation coefficient of each mine car at each preset time point within the preset period is compared with the set mine car comprehensive performance evaluation coefficient threshold. When the comprehensive performance evaluation coefficient of a mine car at a preset time within the preset period is less than the set mine car performance evaluation coefficient threshold, the mine car is recorded as a mine car to be repaired, and the preset time point is recorded as a time point to be repaired. Otherwise, the mine car is recorded as a mine car not to be repaired. Based on this, the mine cars to be repaired and the mine cars not to be repaired are obtained, and the total number of time points to be repaired and the total number of mine cars to be repaired of each mine car to be repaired within the preset period are counted.

[0031] In a specific example, the maintenance process for each mine car is as follows: the total number of mine cars to be repaired is compared with the total number of mine cars in the mining area. When the total number of mine cars to be repaired is greater than half of the total number of mine cars in the mining area, a first-level maintenance instruction is generated to repair all mine cars in the mining area. Otherwise, a second-level maintenance instruction is generated to repair only the mine cars to be repaired.

[0032] At the same time, the total number of time points for maintenance of each mine car to be repaired is compared with the total number of preset time points within the preset period. When it is detected that the total number of time points for maintenance of a mine car to be repaired is greater than half of the total number of preset time points within the preset period, a third-level maintenance instruction is generated, and the mine car to be repaired is immediately shut down for maintenance. Otherwise, a fourth-level maintenance instruction is generated. The fourth-level maintenance instruction is used to execute the first-level maintenance instruction or the second-level maintenance instruction.

[0033] Step 2: Overall load analysis of mine cars: Obtain the service life and maintenance times of each mine car from the vehicle management center. Based on the comprehensive performance evaluation coefficient, service life and maintenance times of each mine car, analyze and obtain the working stability level of each mine car. At the same time, monitor the road data of each transportation road in the mining area to determine the danger level of each transportation road, thereby analyzing each transportation road of each mine car and determining the weight of the minerals transported by each mine car.

[0034] It should be noted that the road data of each transport road includes but is not limited to the number of road surface defects, the number of curves, the curve angle and the road surface slope of each transport road, wherein the road surface defects include cracks, potholes, depressions and protrusions.

[0035] In a specific example, the working stability level of each mine car is obtained by analysis based on the comprehensive performance evaluation coefficient, service life and number of overhauls of each mine car. The specific analysis process is as follows: the performance evaluation coefficient, service life and number of overhauls of each mine car are normalized and input into the mine car working stability evaluation model, and the working characteristic value of each mine car is output according to the expression of the mine car working stability evaluation model, and the working characteristic value includes data of 1, 0 and -1.

[0036] It should be noted that the mine car working stability evaluation model expression is:

[0037] Where κ is the working characteristic value, χ′, φ′ and λ′ are the data obtained after normalization of the mine car's performance evaluation coefficient, service life and number of maintenance respectively, a′ and a″ are the lower limit and upper limit of the mine car's working stability evaluation data, where the lower limit and upper limit of the mine car's working stability evaluation data are set by the relevant staff. The lower the working stability evaluation data of the mine car, the more stable the mine car is. For example, the lower limit and upper limit of the working stability evaluation data of the mine car are set to 3 and 5 respectively. When the working stability evaluation data of the mine car is 4, since 3<4<5, the working characteristic value of the mine car is 0.

[0038] When the working characteristic value is 1, it means that the performance of the mine car is stable, and the mine car with a working characteristic value of 1 is recorded as a first-level stable mine car; when the working characteristic value is 0, it means that the performance of the mine car is average, and the mine car with a working characteristic value of 0 is recorded as a second-level stable mine car; when the working characteristic value is -1, it means that the performance of the mine car is poor, and the mine car with a working characteristic value of -1 is recorded as a third-level stable mine car. Based on this, we obtain each first-level stable mine car, each second-level stable mine car and each third-level stable mine car.

[0039] In a specific example, the hazard level of each transport road is determined by the following process: the road data of each transport road is normalized and input into a road hazard assessment model, and the road hazard characteristic value of each transport road is output according to the road hazard assessment model expression, where the road hazard characteristic value includes data of 1, 0 and -1.

[0040] It should be noted that the road hazard assessment model expression is:

[0041] Where θ is the road hazard characteristic value, i is the number of each road data, i is a positive integer, I is the total number of road data, w i The data obtained after normalization of the road surface data numbered i, w′ and w″ are the lower limit and upper limit of the road surface data, respectively. The lower limit and upper limit of the road surface data are set by relevant staff. For example, if the lower limit of the road surface data is set to 4 and the upper limit is set to 6, when the road surface data is 3, 3<4, and the road hazard characteristic value is 1.

[0042] When the road hazard characteristic value is 1, it means that the transport road is relatively safe and is recorded as a third-level dangerous transport road. When the road hazard characteristic value is 0, it means that the road safety is average and is recorded as a second-level dangerous road. When the road hazard characteristic value is -1, it means that the road is relatively dangerous and is recorded as a first-level dangerous road. Based on this, the first-level dangerous transport roads, second-level dangerous transport roads and third-level dangerous transport roads are obtained.

[0043] In a specific example, the analysis obtains the transportation routes of each mine car and determines the weight of the minerals transported by each mine car. The specific process is as follows: each first-level mine car is matched with each first-level dangerous transportation road, each second-level mine car is matched with each second-level dangerous transportation road, and each third-level mine car is matched with each third-level dangerous transportation road, thereby obtaining the transportation routes of each mine car.

[0044] For each first-level dangerous transport road, a first-level weight reduction instruction is generated, and the load threshold corresponding to each first-level mine car is reduced based on the first-level weight reduction instruction. The first-level weight reduction instruction is 20% of the load of each first-level mine car.

[0045] For each secondary dangerous transport road, a secondary weight reduction instruction is generated, and the load threshold corresponding to each secondary mine car is reduced based on the secondary weight reduction instruction. The secondary weight reduction instruction is 10% of the load of each secondary mine car.

[0046] For each level 3 dangerous transport road, the weight threshold for each level 3 mine car to transport minerals is the load capacity of the corresponding level 3 mine car.

[0047] Step 3: Analysis of the load capacity of each mine car: After determining the weight of the minerals transported by each mine car, install movable partitions in the car when loading the cargo. According to the wear of each tire, different weights of minerals are allocated to different areas of the car.

[0048] In a specific example, different weights of minerals are allocated to different areas of the carriage based on the wear of each tire. The specific process is as follows: based on the installation position of each movable wooden board, the carriage is divided into different areas, and then based on the positions of each area of the carriage and each tire, the areas corresponding to each tire are obtained, and the tire wear coefficient of each tire of the mine car is analyzed. The ratio of the tire wear coefficient of each tire is recorded as the ratio of the weight distribution of each area, and then the weight of the minerals in each area of the carriage during loading is obtained.

[0049] At the same time, pressure sensors are installed in the center of each area of the carriage. During the driving of the mine car, the pressure sensors in each area of the carriage monitor the weight of the minerals in each area in real time, and then automatically adjust the position of each movable partition to ensure that the pressure on the tires corresponding to each area of the carriage remains unchanged.

[0050] In a specific example, the tire wear coefficient of each tire of the mine car is obtained by the analysis. The specific process is as follows: any mine car is recorded as the target mine car, the total mileage of the target mine car is obtained from the data center, and the tire pressure of each tire of the target mine car when it is fully loaded and the tire load of each tire of the target mine car when it is fully loaded are obtained, which are recorded as L and P respectively. j , and Q j , where j is the number of each tire of the target mine car, j is a positive integer, and the rated mileage of the target mine car, the standard value of the tire pressure of each tire, and the standard value of the tire load are obtained from the production instructions, which are recorded as L1, P1, and Q1 respectively. According to the calculation formula: The tire wear coefficient β of the target mine car numbered j is obtained by analysis j .

[0051] Reference Figure 2 As shown, the present application provides a mine car monitoring system based on an open-pit coal mine in a second aspect, comprising the following modules: a mine car performance monitoring module, a mine car overall load analysis module and a mine car regional load analysis module.

[0052] Mine car performance monitoring module: number each mine car in the mining area, and monitor the working data of the suspension system, braking system and electrical system of each mine car within a preset period, and then conduct a comprehensive analysis to obtain the mine cars to be repaired and the mine cars not to be repaired, so as to carry out maintenance on each mine car.

[0053] Mine car overall load analysis module: obtains the service life and maintenance times of each mine car from the vehicle management center, and obtains the working stability level of each mine car based on the comprehensive performance evaluation coefficient, service life and maintenance times of each mine car. At the same time, monitors the road data of each transportation road in the mining area, and then determines the danger level of each transportation road, thereby analyzing each transportation road of each mine car and determining the weight of the minerals transported by each mine car.

[0054] Mining car area load analysis module: After determining the weight of the transported minerals of each mining car, when loading the cargo, movable partitions are installed in the car to distribute different weights of minerals to different areas of the car according to the wear of each tire.

[0055] The present application provides a mine car monitoring method and system based on open-pit coal mines. By monitoring and analyzing the system performance of the mine cars and then repairing each mine car, the working efficiency of each mine car is guaranteed. The working stability of each mine car and the dangerous conditions of each transportation road are then analyzed, so as to match each mine car with each transportation road, thereby ensuring the safety of each mine car when transporting minerals. According to the danger level of each transportation road, each mine car is transported with reduced weight to prevent the risk of mine car rollover and mineral falling caused by dangerous transportation roads and overloaded mine cars. At the same time, movable partitions are installed in the carriages of each mine car, and the weight of minerals in each area of the carriage is determined according to the wear of each tire. This can effectively prevent the tires of the mine car from being damaged due to overweight when going uphill or turning during driving, and also avoid the possibility of vehicle rollover.

[0056] The above content is merely an example and explanation of the concept of the present application. Technicians in this technical field may make various modifications or additions to the described specific embodiments or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined in this application, they should all fall within the scope of protection of this application.

Claims

1. A mine car monitoring method based on an open-pit coal mine, characterized in that: include: Step 1: Mine car performance monitoring: Each mine car in the mining area is numbered and the working data of the suspension system, brake system and electrical system of each mine car are monitored within a preset period. Then, a comprehensive analysis is performed to determine the mine cars to be repaired and the mine cars not to be repaired, so that each mine car can be repaired; Step 2: Overall load analysis of mine cars: Obtain the service life and maintenance times of each mine car from the vehicle management center. Based on the comprehensive performance evaluation coefficient, service life and maintenance times of each mine car, the working stability level of each mine car is analyzed. At the same time, the road data of each transportation road in the mining area is monitored to determine the danger level of each transportation road. In this way, the transportation road of each mine car is analyzed and the weight of the minerals transported by each mine car is determined. Step 3: Analysis of the load capacity of each mine car: After determining the weight of the minerals transported by each mine car, install movable partitions in the car when loading the cargo. According to the wear of each tire, different weights of minerals are allocated to different areas of the car.

2. A mine car monitoring method based on an open-pit coal mine according to claim 1, characterized in that: The working data of the suspension system includes the deformation value of the spring and the expansion and contraction of the shock absorber collected at each preset time point in the suspension system; the working data of the braking system includes the braking distance and braking acceleration of the mine car collected at each preset time point; the working data of the electrical system includes the voltage and current of the motor collected at each preset time point.

3. A mine car monitoring method based on an open-pit coal mine according to claim 2, characterized in that: The comprehensive analysis obtains each mine car to be repaired and each mine car not to be repaired. The specific analysis process is as follows: Based on the working data of the suspension system, the working data of the braking system and the working data of the electrical system of each mine car, the suspension system performance evaluation coefficient, the braking system performance constant evaluation coefficient and the electrical system performance evaluation coefficient of each mine car at each preset time point within a preset period are respectively analyzed, and then the suspension system performance evaluation coefficient, the braking system performance constant evaluation coefficient and the electrical system performance evaluation coefficient of each mine car are input into the mine car comprehensive performance evaluation model, and the comprehensive performance evaluation coefficient of each mine car at each preset time point within the preset period is output according to the mine car comprehensive performance evaluation expression; The comprehensive performance evaluation coefficient of each mine car at each preset time point within the preset period is compared with the set mine car comprehensive performance evaluation coefficient threshold. When the comprehensive performance evaluation coefficient of a mine car at a preset time within the preset period is less than the set mine car performance evaluation coefficient threshold, the mine car is recorded as a mine car to be repaired, and the preset time point is recorded as a time point to be repaired. Otherwise, the mine car is recorded as a mine car not to be repaired. Based on this, the mine cars to be repaired and the mine cars not to be repaired are obtained, and the total number of time points to be repaired and the total number of mine cars to be repaired of each mine car to be repaired within the preset period are counted.

4. A mine car monitoring method based on an open-pit coal mine according to claim 3, characterized in that: The specific process of repairing each mine car is as follows: The total number of mine carts to be repaired is compared with the total number of mine carts in the mining area. When the total number of mine carts to be repaired is greater than half of the total number of mine carts in the mining area, a first-level repair order is generated to repair all mine carts in the mining area. Otherwise, a second-level repair order is generated to repair only the mine carts to be repaired. At the same time, the total number of time points for maintenance of each mine car to be repaired is compared with the total number of preset time points within the preset period. When it is detected that the total number of time points for maintenance of a mine car to be repaired is greater than half of the total number of preset time points within the preset period, a third-level maintenance instruction is generated, and the mine car to be repaired is immediately shut down for maintenance. Otherwise, a fourth-level maintenance instruction is generated. The fourth-level maintenance instruction is used to execute the first-level maintenance instruction or the second-level maintenance instruction.

5. A mine car monitoring method based on an open-pit coal mine according to claim 4, characterized in that: The working stability level of each mine car is obtained by analyzing the comprehensive performance evaluation coefficient, service life and number of maintenance of each mine car. The specific analysis process is as follows: The performance evaluation coefficient, service life and number of overhauls of each mine car are normalized and input into the mine car working stability evaluation model, and the working characteristic value of each mine car is output according to the mine car working stability evaluation model expression, wherein the working characteristic value includes data of 1, 0 and -1; When the working characteristic value is 1, it means that the performance of the mine car is stable, and the mine car with a working characteristic value of 1 is recorded as a first-level stable mine car; When the working characteristic value is 0, it means that the performance of the mine car is average, and the mine car with a working characteristic value of 0 is recorded as a second-level stable mine car. When the working characteristic value is -1, it means that the performance of the mine car is poor, and the mine car with a working characteristic value of -1 is recorded as a third-level stable mine car. Based on this, we obtain each first-level stable mine car, each second-level stable mine car and each third-level stable mine car.

6. A mine car monitoring method based on an open-pit coal mine according to claim 5, characterized in that: The specific process of determining the danger level of each transport road is as follows: Normalizing the road data of each transport road and inputting it into the road hazard assessment model, outputting the road hazard characteristic value of each transport road according to the road hazard assessment model expression, wherein the road hazard characteristic value includes data of 1, 0 and -1; When the road hazard characteristic value is 1, it means that the transport road is relatively safe and is recorded as a third-level dangerous transport road. When the road hazard characteristic value is 0, it means that the road safety is average and is recorded as a second-level dangerous road. When the road hazard characteristic value is -1, it means that the road is relatively dangerous and is recorded as a first-level dangerous road. Based on this, the first-level dangerous transport roads, second-level dangerous transport roads and third-level dangerous transport roads are obtained.

7. A mine car monitoring method based on an open-pit coal mine according to claim 6, characterized in that: The analysis obtains the transport routes of each mine car and determines the weight of the minerals transported by each mine car. The specific process is as follows: Match each first-level mine car with each first-level dangerous transport road, each second-level mine car with each second-level dangerous transport road, and each third-level mine car with each third-level dangerous transport road, thereby obtaining each transport road for each mine car; For each level 1 dangerous transport road, a level 1 weight reduction instruction is generated, and the corresponding load threshold of each level 1 mine car is reduced based on the level 1 weight reduction instruction. The level 1 weight reduction instruction is 20% of the load threshold of each level 1 mine car. For each level 2 dangerous transport road, a level 2 weight reduction instruction is generated, and the corresponding load threshold of each level 2 mine car is reduced based on the level 2 weight reduction instruction. The level 2 weight reduction instruction is 10% of the load threshold of each level 2 mine car. For each level 3 dangerous transport road, the weight threshold for each level 3 mine car to transport minerals is the load capacity of the corresponding level 3 mine car.

8. A mine car monitoring method based on an open-pit coal mine according to claim 7, characterized in that: According to the wear of each tire, different weights of minerals are allocated to each area of the carriage. The specific process is as follows: Based on the installation position of each movable wooden board, the carriage is divided into different areas. Then, based on the position of each area and each tire, the corresponding area of each tire is obtained. The tire wear coefficient of each tire of the mine car is analyzed and recorded as the ratio of the tire wear coefficient of each tire as the ratio of the weight distribution of each area, and then the weight of the ore in each area of the carriage during loading is obtained. At the same time, pressure sensors are installed in the center of each area of the carriage. During the driving of the mine car, the pressure sensors in each area of the carriage monitor the weight of the minerals in each area in real time, and then automatically adjust the position of each movable partition to ensure that the pressure on the tires corresponding to each area of the carriage remains unchanged.

9. A mine car monitoring method based on an open-pit coal mine according to claim 8, characterized in that: The tire wear coefficient of each tire of the mine car is obtained by the analysis, and the specific process is as follows: Any mine car is recorded as the target mine car, and the total mileage of the target mine car is obtained from the data center. At the same time, the tire pressure of each tire of the target mine car when it is fully loaded and the tire load of each tire of the target mine car when it is fully loaded are obtained, which are recorded as L and P respectively. j , and Q j , where j is the number of each tire of the target mine car, j is a positive integer, and the rated mileage of the target mine car, the standard value of the tire pressure of each tire, and the standard value of the tire load are obtained from the production instructions, which are recorded as L1, P1, and Q1 respectively. According to the calculation formula: The tire wear coefficient β of the target mine car numbered j is obtained by analysis j .

10. A mine car monitoring system for executing the mine car monitoring method according to any one of claims 1 to 9, characterized in that: include: Mine car performance monitoring module: Numbers each mine car in the mining area and monitors the working data of the suspension system, brake system and electrical system of each mine car within a preset period. Then, through comprehensive analysis, it determines which mine cars are waiting for maintenance and which are not, so as to carry out maintenance on each mine car. Mine car overall load analysis module: Obtain the service life and maintenance frequency of each mine car from the vehicle management center, and analyze the working stability level of each mine car based on the comprehensive performance evaluation coefficient, service life and maintenance frequency of each mine car. At the same time, the road data of each transportation road in the mining area is monitored to determine the danger level of each transportation road, thereby analyzing each transportation road of each mine car and determining the weight of the minerals transported by each mine car; Mining car area load analysis module: After determining the weight of the transported minerals of each mining car, when loading the cargo, movable partitions are installed in the car to distribute different weights of minerals to different areas of the car according to the wear of each tire.

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