A cross-platform remote real-time motion tracking method for three fully mechanized mining machines

Abstract

The invention discloses a cross-platform remote real-time motion tracking method for three fully mechanized mining machines, comprising the steps of: 1. data collection and transmission; Store in the storage module, and simultaneously carry out the storage of the virtual model data of the three fully-mechanized mining machines and the virtual coal wall model data; 3. The industrial field server constructs the virtual model driving module of the three fully-mechanized mining machines to realize the real-time driving of the virtual models of the three fully-mechanized mining machines , dynamically display the real-time running status of the fully mechanized three-machine equipment, and display it on the client computer. The invention solves the long-term dependence of ground monitoring on working face video, so that harsh environments such as high dust and low illumination on the working face will not affect operators' judgment on the operating status of production equipment.

Description

technical field [0001] The invention belongs to the technical field of coal mine intelligent mining, and in particular relates to a cross-platform remote real-time motion tracking method for three fully-mechanized mining machines. Background technique [0002] Coal is the main energy source in my country, and safe, intelligent, green and efficient mining is the main direction for the development of coal mines in my country. my country's high-mining coal seams account for more than 45% of the total coal resource reserves, but mining is difficult due to factors such as high coal mining height, easy coal walls, and high dust concentration. Therefore, the monitoring and control of the three machines in the fully mechanized mining face of the coal mine is related to the safe production of the entire coal mining enterprise. The visual remote intervention control system of the fully-mechanized three-machine equipment uses the video surveillance of the working face as a means, and ...

AI Technical Summary

Problems solved by technology

In recent years, with the advancement of "Industry 4.0" and "Internet + Smart Coal Mine", this technology has become more and more perfect, but there are still the following technical deficiencies: the existing fully-mechanized mining face visualization mainly relies on video technology, but the production of fully-mechanized three-machine The dust concentration on the job site is high, the visibility is low, the environment is harsh, and the video monitoring effect is poor. Remote workers cannot accurately obtain the working status of the equipment; Personnel cannot quickly and intuitively obtain the status of equipment operation, which affects the timeliness and accuracy of decision-making; the existing coal mine fully mechanized mining face monitoring system is a typical client / server architecture system, which cannot be used for remote mobile monitoring across platforms. Lack of agility, affecting the flexibility of on-site production decisions

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