Intelligent mine helmet control method based on human body information and environment information fusion

• Main Authors: ZHAI KE, ZHANG JIANAN, ZHANG SONGZHI, WANG GANG, ZHANG SIMING, NIU QIN, WANG MEI
• Format: Patent
• Language: Chinese; English
• Published: 30.11.2018
• Subjects: DIAGNOSIS; HUMAN NECESSITIES; HYGIENE; IDENTIFICATION; MEDICAL OR VETERINARY SCIENCE; SURGERY

The invention discloses an intelligent mine helmet control method based on human body information and environment information fusion. The method includes acquisition of original brain wave signals; preprocessing of original brain waves; wavelet decomposition and reconstruction of the original brain wave signals; extraction of brain wave signal characteristics; optimization of a BP neural network through an artificial fish swarm algorithm to identify fatigue characteristics; identification of miner fatigue, monitoring of miner environmental information and alarm operation for dangerous situations. According to method, the energy of four sub-bands, ApEn approximate entropy, KC complexity and C0 complexity in the high-precision brain wave signals obtained by preprocessing (filtering and denoising) of the original brain wave signals are extracted as an artificial fish swarm algorithm to optimize an input layer of the BP neural network. The artificial fish swarm algorithm is trained to optimize the BP neural netwo