System Overview

The AI video intelligent traffic control system for underground coal mines is a specially designed traffic safety management and scheduling system for modern mines, used for various vehicle traffic scheduling and command of auxiliary transportation in mines. It mainly consists of automatic control of traffic lights at underground intersections, identification and positioning detection of vehicles, identification and positioning detection of personnel, capture of vehicles running red lights, capture of vehicle speeding, and sound and light alarm system. The system performs Al analysis on the video images of the intersection to identify the driving situation, vehicle status, vehicle category, and pedestrian status of underground vehicles in real time. It intelligently controls the traffic light status of the intersection, allowing vehicles to pass in an orderly, safe, and efficient manner. At the same time, it has the functions of capturing violations such as running red lights and speeding, as well as traffic flow statistics. Solved problems such as blockages and empty red lights of trackless rubber tired vehicles in underground mines. By storing and analyzing data, various summary information such as vehicle types, quantities, vehicle and personnel violations at various underground intersections can be generated, in order to further optimize traffic management.
The system not only completes the intelligent upgrade of traffic lights, but also greatly enhances and excavates the functions of underground traffic control systems.

System Structure and Composition

The intelligent traffic management system for underground coal mines is divided into application scenarios such as traffic control at roadway intersections, traffic control at single lane roadway intersections, and interval speed measurement based on the situation of underground intersections. Lane fork traffic light control is used for intelligent management of underground fork (three-way, four-way, etc.) intersection traffic lights. Single lane traffic light control is used for intelligent control of traffic lights at entrances and exits of one-way lanes. Interval speed measurement is used to control the speed limit of vehicles in designated tunnel sections.

Main Functions of the System

1. Through video intelligent recognition analysis, intelligent recognition, and tracking technology, the traffic lights of underground rubber tired vehicles are intelligently controlled, effectively realizing the recognition and management of vehicles and pedestrians at various traffic intersections. Intelligent management of traffic light intersection sequence not only improves operational efficiency but also eliminates safety hazards.
Using a communication protocol, the real-time status of the vehicle is fed back to the management server, which performs intelligent scheduling algorithm analysis. The traffic light information is sent to the explosion-proof and intrinsic safety integrated access gateway through a control protocol, and the traffic light and sound alarm are accurately output according to preset subroutines to ensure the efficiency of underground vehicle driving and the safety of personnel behavior.

Traffic light control at different intersections


Vehicle Tracking Trajectory Map


2. It can identify the type of vehicle, whether it is a heavy-duty truck, whether it is an uphill vehicle, etc., so that heavy-duty, manned, and uphill vehicles can be given priority to pass through the intersection.
3. It can recognize whether pedestrians have passed through intersections, so that when pedestrians are detected, the intersection sound and light alarm can voice prompt pedestrians and drivers to pay attention to driving safety.
4. It can identify pedestrians and vehicles who violate red lights. When a violation occurs, it will first use the sound and light alarm at the intersection to sound and alert pedestrians and drivers of the violation, and upload the violation information to the ground. By displaying violation information through management software pop ups, historical violation records can also be queried.
5. Control the number of vehicles in a single lane to ensure that only one vehicle passes through, preventing two vehicles from colliding in the lane and causing significant safety hazards.
6. Equipped with vehicle speed capture function, it can expand regional speed measurement function.
7. Adopting edge and end computing design, it has high reliability and good real-time performance. When there are abnormalities in the underground network and server equipment, the system can still work normally.
8. After integrating into the underground ring network, centralized management of traffic light equipment at various underground points can be achieved. Through ground management software, the operation status of traffic lights at each point can be determined, and equipment failures can be detected and dealt with in a timely manner for recovery.
9. It is possible to statistically analyze the data of vehicles entering and exiting each intersection, so that the driving route can be adjusted and optimized according to the busy level of each route. 10. It is possible to manually intervene in the traffic light status of various intersections on the ground or underground. If necessary, the traffic light controller can be manually controlled on the ground through client software or underground to intervene in the underground traffic conditions.
11. The data of vehicles entering and exiting through various intersections can be used to determine whether the transportation efficiency is reasonable based on the production capacity, providing data support for the rational allocation of ground vehicles.
12. According to the safety characteristics of the mining area, evacuation and rescue channels are designated when danger arises. In case of danger, according to the designated emergency channels, some areas will become fully green traffic signals and some areas will become red no go signals, automatically generating safe emergency evacuation and rescue channels to maximize rescue and evacuation efficiency.