Coal mine transportation safety supervision system based on data analysis

Abstract

The invention relates to the technical field of coal mine transportation safety, in particular to a coal mine transportation safety supervision system based on data analysis, which comprises a monitoring center, a data interaction unit, a vehicle supervision unit, a transportation supervision unit and an underground tunnel supervision unit, the vehicle supervision unit is used for monitoring vehicle conditions; the transportation supervision unit is used for monitoring the transportation condition of the lane; the tunnel supervision unit is used for supervising the tunnel environment condition; the monitoring center is used for master control of the system; and the data interaction unit is used for data transmission among the components. According to the invention, the transportation condition can be monitored, the safety and feasibility of the transportation route are ensured, the transportation safety is subjected to data analysis, and the safe transportation is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of coal mine transportation safety, and in particular to a coal mine transportation safety supervision system based on data analysis. Background Art

[0002] Coal mines are areas where humans mine coal resources in coal-rich mining areas. They are generally divided into underground coal mines and open-pit coal mines. When the coal seam is far from the surface, it is generally chosen to dig tunnels underground to mine coal. This is an underground coal mine; After searching the Chinese patent with publication number CN116050938B, a coal mine transportation safety supervision system based on data analysis is disclosed.

[0003] In the above technical scheme: specifically as follows: the coal mine supervision module supervises the environmental information and coal mine information during the coal mine transportation process, and obtains the environmental information and coal mine information; the transportation information acquisition module acquires the environmental information and coal mine information, and transmits the acquired coal mine information and environmental information to the transportation data analysis module, the transportation data analysis module receives the coal mine information for analysis to obtain the coal mine data, and the transportation data analysis module receives the environmental information for analysis to obtain the environmental data. The present invention acquires and analyzes the environmental information and coal information during the coal transportation process, and based on the data obtained by the analysis, it can comprehensively supervise the coal mine transportation process and improve the safety during the coal mine transportation process; However, in the above scheme, the invention obtains detailed information about the mining environment in the tunnel, but does not involve the more important transportation environment in the tunnel and the solidity of the earth in the tunnel. The tunnel transportation environment is subject to vibrations generated by repeated transportation, and the condition of the earth is crucial. Tunnel blockage caused by earth collapse not only directly blocks transportation, but also puts the miners in a dangerous environment.

[0004] To this end, we propose a coal mine transportation safety supervision system based on data analysis. Summary of the invention

[0005] The present invention mainly solves the technical problems existing in the above-mentioned prior art and provides a coal mine transportation safety supervision system based on data analysis.

[0006] In order to achieve the above-mentioned purpose, the present invention adopts the following technical scheme: a coal mine transportation safety supervision system based on data analysis, including a monitoring center, a data interaction unit, a vehicle supervision unit, a transportation supervision unit and a tunnel supervision unit; A vehicle monitoring unit, wherein the vehicle monitoring unit is used to monitor the vehicle status; A transport supervision unit, the transport supervision unit is used to monitor the transport status of the lane; A tunnel monitoring unit, the tunnel monitoring unit is used to monitor the tunnel environment; A monitoring center, which is used for overall control of the system; A data exchange unit is used for data transmission between various components.

[0007] Preferably, the vehicle monitoring unit includes a GPS, a speed sensor and a vibration sensor.

[0008] Preferably, the GPS is used for real-time positioning of the vehicle, the speed sensor is used for monitoring the vehicle speed, and the vibration sensor is used for monitoring the vehicle driving condition.

[0009] Preferably, the transport supervision unit includes a road prediction model, a lane supervision vehicle and a vehicle attempt module.

[0010] Preferably, the road prediction model predicts whether an accident will occur based on the vehicle supervision unit data, the lane supervision vehicle is used to test the transportation route before transportation and establish a transportation route model, and the vehicle attempt module is distributed in various parts of the transportation route to monitor the passage of vehicles and verify with the vehicle supervision unit.

[0011] Preferably, the tunnel monitoring unit includes a pressure sensor, a humidity sensor, and a fluid sensor.

[0012] Preferably, the pressure sensors are distributed on various support frames of the tunnel to monitor whether the tunnel is sinking; the humidity sensors are distributed on various parts of the tunnel to monitor whether the humidity in the tunnel is too high; the fluid sensors are distributed on various parts of the tunnel to monitor whether the soil in the tunnel is flowing.

[0013] The present invention provides a coal mine transportation safety supervision system based on data analysis, which has the following improvements and advantages compared with the prior art: The present invention adopts a monitoring center, a data interaction unit, a vehicle supervision unit, a transportation supervision unit and a tunnel supervision unit. A lane supervision vehicle is provided to conduct a trial run in the tunnel before daily transportation to determine the possibility of transportation passing through, model the transportation route, and send the operation results and the modeling results to the monitoring center, compare the changes in the tunnel in the route, and the management personnel make decisions. A vehicle view module is also provided to take pictures of passing vehicles and record them in the monitoring center through the data interaction center. The position and speed are verified with the vehicle supervision unit, the effectiveness of the vehicle supervision unit is monitored, and the road prediction model is used to predict the position and speed of the vehicle supervision unit to avoid collision or blockage of the transportation vehicle in the lane, and to regulate the transportation vehicle to improve transportation safety and transportation efficiency. The vehicle supervision unit records and analyzes the driving information of the transportation vehicle, monitors the position of the transportation vehicle in real time, monitors the speed of the vehicle during transportation, speeds up in places where the speed is too slow, and increases the speed in places where the speed is too high. Slow down in fast places, and use vibration sensors to monitor the shaking of transport vehicles and adjust the transport section to avoid derailment. The tunnel supervision unit monitors the earth on the tunnel and issues a landslide warning when the pressure is too high. The humidity sensor monitors the humidity of the earth to avoid excessive humidity, which may cause earth landslides or mudslides. When the humidity is too high, a landslide warning is issued. The fluid sensor monitors the flow of earth to avoid the vibration of the transport vehicle damaging the earth structure and causing it to fall. When the flow rate is too high, a structural warning is issued. In summary, this system can monitor the factors that may affect the safety of transportation during transportation, monitor the driving conditions of the vehicle, and adjust the driving conditions of the vehicle to ensure smooth transportation. It can monitor the safety of the tunnel and can timely monitor possible problems in the tunnel to avoid damage to the tunnel structure and serious consequences. It can monitor the transportation situation to ensure the safety and feasibility of the transportation route, conduct data analysis on transportation safety, and ensure safe transportation. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the implementation of the present invention or the technical solution in the prior art, the following briefly introduces the drawings required for the implementation or the description of the prior art. Obviously, the drawings in the following description are only exemplary, and for ordinary technicians in this field, other implementation drawings can be derived from the provided drawings without creative work.

[0015] Figure 1 This is the overall system topology diagram of the structure of the present invention. DETAILED DESCRIPTION

[0016] Below, the invention is further described in conjunction with the accompanying drawings and specific embodiments: Example

[0017] See also Figure 1 An embodiment is described, including a monitoring center, a data interaction unit, a vehicle supervision unit, a transport supervision unit, and a tunnel supervision unit; A vehicle monitoring unit, wherein the vehicle monitoring unit is used to monitor the vehicle status; A transport supervision unit, the transport supervision unit is used to monitor the transport status of the lane; A tunnel monitoring unit, the tunnel monitoring unit is used to monitor the tunnel environment; A monitoring center, which is used for overall control of the system; The data exchange unit is used for data transmission between various components, and performs data analysis on transportation safety to ensure safe transportation.

[0018] The vehicle supervision unit includes GPS, speed sensor and vibration sensor. The GPS is used to locate the vehicle in real time, the speed sensor is used to monitor the vehicle speed, and the vibration sensor is used to monitor the vehicle driving condition. The vehicle supervision unit records and analyzes the driving information of the transport vehicle, monitors the position of the transport vehicle in real time, monitors the speed of the vehicle during transportation, speeds up where the speed is too slow, slows down where the speed is too fast, and uses a vibration sensor to monitor the shaking of the transport vehicle. It can also issue an early warning through the information of the vehicle supervision unit. For example, if the position is not moving, the speed will instantly be 0, and the vibration is severe, a collision warning will be issued, or if the position moves slowly, the speed decreases rapidly, and the vibration is severe, a derailment warning will be issued, and the transport section will be adjusted to avoid derailment.

[0019] The transport supervision unit includes a road prediction model, a lane supervision vehicle and a vehicle attempt module. The road prediction model predicts whether an accident will occur based on the vehicle supervision unit data. The lane supervision vehicle is used to test the transport route and establish a transport route model before transportation. The vehicle attempt module is distributed in various parts of the transport route to monitor the passage of vehicles and verify with the vehicle supervision unit; the lane supervision vehicle will test run in the tunnel before daily transportation to determine the possibility of transportation passing, model the transport route, and send the operation results and modeling results to the monitoring center, compare the changes in the tunnel in the route, and the management personnel make decisions. A vehicle view module is also set to take pictures of passing vehicles and record them in the monitoring center through the data exchange center, verify the position and speed with the vehicle supervision unit, monitor the effectiveness of the vehicle supervision unit, and use the road prediction model to predict the position and speed of the vehicle supervision unit to avoid collision or congestion of transport vehicles in the lane, and regulate the transport vehicles to improve transportation safety and efficiency.

[0020] The tunnel monitoring unit includes a pressure sensor, a humidity sensor, and a fluid sensor. The pressure sensor is distributed on each support frame of the tunnel to monitor whether the tunnel is sinking. The humidity sensor is distributed on each part of the tunnel to monitor whether the humidity of the tunnel is too high. The fluid sensor is distributed on each part of the tunnel to monitor whether the soil in the tunnel is flowing. The tunnel monitoring unit monitors the earthwork on the tunnel and issues a landslide warning when the pressure is too high. The humidity sensor monitors the humidity of the earthwork to avoid excessive humidity, which may cause earthwork landslides or mudflows. When the humidity is too high, a landslide warning is issued. The fluid sensor monitors the flow of the earthwork to avoid the vibration of the transport vehicle from damaging the earthwork structure and causing it to fall. When the flow is too high, a structural warning is issued. In this embodiment, the lane supervision vehicle will conduct a trial run in the tunnel before daily transportation to determine the possibility of transportation passing, model the transportation route, and send the operation results and modeling results to the monitoring center. The changes in the tunnels on the route are compared and the management personnel make decisions. After confirming that the transportation is feasible, the transport vehicle is arranged for transportation. The position information, speed information, and vibration information of the transport vehicle during the driving process are recorded in the monitoring center through the data interaction center, and the transport vehicle is predicted through the road prediction model to avoid collision or congestion of the transport vehicle. The vehicle view module can verify with the vehicle supervision unit whether the transport vehicle is consistent with the information reported by the vehicle supervision unit. If not, it is arranged for maintenance. The lane supervision unit tracks the transport vehicle throughout the process. If the speed is too fast, it is arranged to slow down or adjust the route ramp. If the vibration is too high, the route smoothness can be adjusted. It can also be monitored by the vehicle supervision unit. When the pressure sensor is too high, a landslide warning is issued; when the humidity is too high, a landslide warning is issued; when the flow rate of the fluid sensor is too high, a structural warning is issued. In summary, the system can monitor the factors that may affect the transportation safety during the transportation process, monitor the driving conditions of the vehicle, adjust the driving conditions of the vehicle to ensure smooth transportation, monitor the safety of the tunnel, and monitor the possible problems in the tunnel in time to avoid the damage to the tunnel structure and the serious consequences. It can monitor the transportation situation to ensure the safety and feasibility of the transportation route, conduct data analysis on transportation safety, and ensure safe transportation.

Claims

1. A coal mine transportation safety supervision system based on data analysis, characterized by: It includes monitoring center, data exchange unit, vehicle supervision unit, transportation supervision unit and tunnel supervision unit; A vehicle monitoring unit, wherein the vehicle monitoring unit is used to monitor the vehicle status; A transport supervision unit, the transport supervision unit is used to monitor the transport status of the lane; A tunnel monitoring unit, the tunnel monitoring unit is used to monitor the tunnel environment; A monitoring center, which is used for overall control of the system; A data exchange unit is used for data transmission between various components.

2. A coal mine transportation safety supervision system based on data analysis according to claim 1, characterized in that: The vehicle monitoring unit includes a GPS, a speed sensor and a vibration sensor.

3. A coal mine transportation safety supervision system based on data analysis according to claim 2, characterized in that: The GPS is used to locate the vehicle in real time, the speed sensor is used to monitor the vehicle speed, and the vibration sensor is used to monitor the vehicle driving condition.

4. A coal mine transportation safety supervision system based on data analysis according to claim 1, characterized in that: The transportation supervision unit includes a road prediction model, a lane supervision vehicle and a vehicle attempt module.

5. A coal mine transportation safety supervision system based on data analysis according to claim 4, characterized in that: The road prediction model predicts whether an accident will occur based on the data from the vehicle supervision unit. The lane supervision vehicle is used to test the transportation route before transportation and to establish a transportation route model. The vehicle attempt module is distributed in various parts of the transportation route to monitor the passage of vehicles and verify with the vehicle supervision unit.

6. A coal mine transportation safety supervision system based on data analysis according to claim 1, characterized in that: The tunnel monitoring unit includes a pressure sensor, a humidity sensor, and a fluid sensor.

7. A coal mine transportation safety supervision system based on data analysis according to claim 1, characterized in that: The pressure sensors are distributed on various support frames of the tunnel to monitor whether the tunnel is sinking. The humidity sensors are distributed on various parts of the tunnel to monitor whether the humidity in the tunnel is too high. The fluid sensors are distributed on various parts of the tunnel to monitor whether the soil in the tunnel is flowing.

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