Mine car transportation time pre-judgment method for in-use mine car unmanned transportation system

Abstract

The invention relates to a mine car transportation time pre-judgment method for an in-use mine car unmanned transportation system. The mine car transportation time pre-judgment method comprises the steps: 1, building a first time pre-judgment model for offline operation by using historical data; 2, based on the online data, establishing a second time pre-judgment model; and 3, integrating the results of the model M_1 and the model M_2 to obtain a pre-judgment value. The mine car transportation time pre-judgment method utilizes the equipment advantages and convenience of the in-use mine car unmanned transportation system of an end edge cloud framework, and applying the equipment advantages and convenience to service of the mine car unmanned transportation system, thus finally laying a foundation for achieving the purpose of improving the system operation efficiency.

Description

technical field [0001] The invention relates to the field of unmanned transport system for mining vehicles. Specifically, it is a method for predicting the transportation time of mining vehicles for the unmanned transportation system of mining vehicles in use. Background technique [0002] With the rapid development of sensor technology and big data technology, autonomous driving technology has received widespread attention. Compared with traditional road traffic scenarios, some special closed scenarios such as mining areas and ports have taken the lead in making this technology available, effectively improving the Productivity. But it's not realistic to use a brand new self-driving vehicle in a mine. On the one hand, the cost of mining vehicles is high, and the cost of eliminating large batches of mining vehicles and replacing them with new self-driving vehicles is too high; on the other hand, the mining environment is harsh, dusty, and infrastructure such as road marking...

AI Technical Summary

Problems solved by technology

But using brand new self-driving vehicles in mines isn't practical

On the one hand, the cost of mining vehicles is high, and the cost of eliminating large batches of mining vehicles and replacing them with new self-driving vehicles is too high; on the other hand, the mining environment is harsh, dusty, and infrastructure such as road markings is incomplete. It is not conducive to the normal work of high-precision environment perception equipment (such as high-definition cameras, millimeter-wave radar, etc.) that most self-driving vehicles rely on

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