Paper
18 July 2023 The collision risk warning method for fully mechanized mining equipment in coal mine under multi-sensor
Zhiqia Lu
Author Affiliations +
Proceedings Volume 12722, Third International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2023); 1272259 (2023) https://doi.org/10.1117/12.2680483
Event: International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2023), 2023, Hangzhou, China
Abstract
The geological environment of fully mechanized mining in coal mines is complex, and the requirements for the performance of fully mechanized mining equipment are relatively high. Under the influence of various natural factors and geological environmental factors, there are certain hidden dangers of collision risks in the operation of fully mechanized mining equipment in coal mines. In order to solve this problem, a new collision risk warning method for fully mechanized mining equipment for coal mines is proposed by introducing multi-sensors. By establishing the pose measurement model of the fully mechanized mining equipment, the operation rules and pose changes of the fully mechanized mining equipment can be obtained; sensors are deployed to obtain the pose data of the fully mechanized mining equipment, and the pose change parameters of the fully mechanized mining equipment can be calculated to predict the overall usage and potential of the fully mechanized mining equipment at the current moment. risk hidden dangers; predict collision risk, build alert indicators, and issue alerts. Through the experimental analysis, it can be seen that the designed alarm method, the accuracy of the collision risk alarm results of the fully mechanized mining equipment is above 96.16%, which is highly feasible.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhiqia Lu "The collision risk warning method for fully mechanized mining equipment in coal mine under multi-sensor", Proc. SPIE 12722, Third International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2023), 1272259 (18 July 2023); https://doi.org/10.1117/12.2680483
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KEYWORDS
Mining

Sensors

Instrument modeling

Data acquisition

Data modeling

Safety

Engineering

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