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8 November 2023 A design of performance analysis and verification platform for intrusion prevention and dangerous approach alarm system
Chun-hui Du
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Proceedings Volume 12923, Third International Conference on Artificial Intelligence, Virtual Reality, and Visualization (AIVRV 2023); 129231E (2023) https://doi.org/10.1117/12.3011346
Event: 3rd International Conference on Artificial Intelligence, Virtual Reality and Visualization (AIVRV 2023), 2023, Chongqing, China
Abstract
A test platform for performance analysis and verification of anti-intrusion and dangerous approach alarm system of mining driving equipment was developed. The platform can not only simulate the radial intrusion equipment of personnel in multiple directions,but also develop a soft dummy target with the shape characteristics of Chinese human body and the infrared and radar reflection characteristics of Chinese human body for the intrusion object. The dummy target has three different poses to choose from. The platform can be used to verify the key indicators of anti- intrusion and danger approach alarm system of driving equipment, such as human posture identification, alarm boundary accuracy, alarm real-time, system false alarm rate and multi-target recognition. The test results show that the platform can effectively realize the above functions, directly avoid the occurrence of equipment extrusion and collision accidents in the mining process, and ensure the life safety of workers.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Citation Download Citation
Chun-hui Du "A design of performance analysis and verification platform for intrusion prevention and dangerous approach alarm system", Proc. SPIE 12923, Third International Conference on Artificial Intelligence, Virtual Reality, and Visualization (AIVRV 2023), 129231E (8 November 2023); https://doi.org/10.1117/12.3011346
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KEYWORDS
Mining
Design and modelling
Radar
Safety
Infrared radiation
Computer simulations
Control systems
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