Unmanned mine car intersection safe passing method based on cloud control platform

Abstract

The invention discloses an unmanned mine car intersection safe passing method based on a cloud control platform, and the method specifically comprises the steps: defining an intersection passing rule, and obtaining the vehicle information of an intersection; determining a conflict area of vehicles in an intersection area, and calculating and predicting a dynamic safe distance and a traffic risk degree of the vehicles; according to the calculation and prediction results of the safe distance and the traffic risk degree, judging whether intersection traffic timing calculation is carried out or not; and generating a passing instruction according to the intersection passing timing calculation result and sending the instruction to the vehicle. According to the invention, the traffic rule of the intersection is defined, the traffic vehicle information of the intersection is obtained in real time, the conflict area of the intersection is determined by using the real-time vehicle state information, and the dynamic safe distance and the traffic risk degree of the vehicle are calculated; and then controlling to send vehicle passing timing and passing instructions. Therefore, the traffic safety of the whole unmanned motorcade is fully guaranteed, and the overall transportation efficiency and traffic safety are improved.

Description

technical field [0001] The invention relates to the technical field of unmanned mining vehicle traffic safety, in particular to a method for safely passing unmanned mining vehicles at intersections based on a cloud control platform. Background technique [0002] Unmanned mining vehicles have become the pioneer and focus of unmanned operations in open pit mines. Unmanned mining vehicles can not only achieve human-like driving behavior, but compared with manned mining vehicles, unmanned mining vehicles are more suitable for seamless information interaction with cloud control platforms. The road environment in the open-pit mining area is complex and there are many emergencies. Signal lights at intersections and their fixed timing strategies are no longer suitable for unmanned transportation management in open-pit mines. [0003] The disadvantage of the existing technology is that the direction, length and intersection of roads in open-pit mining areas are changeable, and the ...

AI Technical Summary

Problems solved by technology

[0003] The disadvantage of the existing technology is that the direction, length and intersection of roads in open-pit mining areas are changeable, and the installation and transfer of signal lights will inevitably lead to repeated human, material and financial resources.

And the signal transmission range of the signal light is limited, which is greatly affected by the weather conditions, and the front car is easy to block the rear car

The signal light can only be set at the intersection, and the minecart cannot be slowed down before reaching the intersection

The realization of signal light detection and recognition through computer vision requires high perception algorithms and computing power for unmanned mining vehicles, and there are recognition errors and recognition delay probabilities

The fixed timing strategy of signal lights has poor flexibility, and cannot be dynamically adjusted according to the actual traffic flow of the mine road network, and cannot guarantee the overall optimal control effect

Even if there is no vehicle in the intersection, the fixed timing strategy will require vehicles to wait at the intersection, resulting in frequent traffic jams and affecting the efficiency of surface mine operations

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