Miner physiological and psychological fatigue monitoring method based on electroencephalogram detection

A technology for fatigue monitoring and miners, applied in the field of physical and psychological fatigue monitoring of miners based on EEG detection, which can solve problems such as hidden dangers in safety production, failure to implement operational safety standards, and difficulty in detecting hidden accidents.

Inactive Publication Date: 2015-05-13
XIAN RES INST OF CHINA COAL TECH& ENG GROUP CORP
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Problems solved by technology

If miners devote themselves to the coal production process with an overtired physiological state or unstable psychological emotions, they are prone to unforeseen misbehaviors, which will lay hidden dangers for coal mine safety production and eventually lead to coal production accidents.
Coal mine is a complex and special production environment. Many pos...

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  • Miner physiological and psychological fatigue monitoring method based on electroencephalogram detection
  • Miner physiological and psychological fatigue monitoring method based on electroencephalogram detection
  • Miner physiological and psychological fatigue monitoring method based on electroencephalogram detection

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Embodiment Construction

[0067] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0068] The embodiment of the present invention provides a miner physiological and psychological fatigue monitoring method based on EEG detection, such as figure 1 As shown, the method is implemented through the following steps:

[0069] Step 101: The electroencephalogram detection terminal converts the collected miner's electroencephalogram data from time domain signals to frequency domain signals.

[0070] Specifically, brain waves are divided into five basic rhythms according to frequency, namely, Y wave (31-100Hz), beta wave (14 to 30Hz), alpha wave (8 to 13Hz), theta wave (4 to 7Hz), delta wave (1 to 3Hz).

[0071] Y wave: The amplitude of Y wave is only 1-10uV, which means that the person is currently highly stressed. When the person is stimulated and highly stressed, brain electrical pulses will be generated, and there will be intermi...

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Abstract

The invention discloses a miner physiological and psychological fatigue monitoring method based on electroencephalogram detection. A brain wave detection terminal converts time-domain signals of collected miner brain wave data into frequency-domain signals, then analyzes the converted frequency-domain signals to obtain the brain wave energy duties of different rhythms in the brain wave data, and finally determines the miner physiological and psychological fatigue conditions according to the brain wave energy duties. Physiological and psychological state monitoring can be carried out during the downhole working period of miners, the physiological and psychological states of the miners are mastered in real time, the abnormal physiological and psychological conditions of the miners can be found in advance, effective measures can be taken in time conveniently, and probability of accidents is reduced.

Description

technical field [0001] Monitoring method of miners' physiological and mental fatigue based on EEG detection. Background technique [0002] Coal is the energy pillar of my country's national economy and plays a key role in the sustained growth of the national economy. For a long period of time in the future, my country's energy pattern dominated by coal consumption will not change. Recently, the mining of coal resources has gradually extended to the deep. The mechanical environment and reservoir structure of deep coal mining are obviously different from those of shallow coal mining. The situation will become more severe, and the safety of coal mines will be a major problem in the development of deep wells in my country. Whether it is possible to effectively control the occurrence of accidents and ensure safe and efficient production in the case of increasingly difficult mining is a major safety management issue facing domestic coal enterprises. People are the weak link in c...

Claims

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Application Information

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IPC IPC(8): A61B5/16A61B5/0476
CPCA61B5/165A61B5/7235A61B5/7271A61B5/369
Inventor 董建梁冯宏张鹏王小波李鹏冯未李静李渊吕琦马晨光
Owner XIAN RES INST OF CHINA COAL TECH& ENG GROUP CORP
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