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Miner mental load evaluation method based on brain electrical detection

A technology of mental load and evaluation method, applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., can solve problems such as waste of manpower and other resources, errors in information acquisition and analysis, errors in decision-making, and reduced flexibility, so as to improve safety Effects of management level, mental load status protection, and enhanced reliability

Inactive Publication Date: 2015-10-14
XIAN UNIV OF SCI & TECH
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Problems solved by technology

[0006] In underground work, high mental load will cause rapid fatigue, reduced flexibility, stress response, increased human error and frustration, causing errors in information acquisition and analysis and decision-making errors, so it is an important cause of human accidents; Too low mental load will cause waste of manpower and other resources, cause disgust, and lead to a decline in job performance

Method used

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  • Miner mental load evaluation method based on brain electrical detection
  • Miner mental load evaluation method based on brain electrical detection
  • Miner mental load evaluation method based on brain electrical detection

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Embodiment 1

[0032] In the embodiment of the present invention, P300 is the third positive component in ERP, because it was first found to appear in the form of a positive wave at about 300ms, so it is called P300, also called P3. After P300 was discovered, many researchers began to do a lot of research on it. At present, P300 has become the component with the largest number of studies, the longest duration and the most widely used in ERP research. Through a lot of research, it is found that P300 has the following characteristics.

[0033] The P300 component in ERP is a window to understand the advanced cognitive functions of the brain. Its amplitude reflects the amount of mental resources invested, and the latency period reflects the cognitive processing process of the brain nerve center to the stimulus. Now it is generally believed that the P300 component has a relationship with mental load. A fairly tight connection is generally believed to be extended with increasing load.

[0034] Th...

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Abstract

The invention discloses a miner mental load evaluation method based on brain electrical detection. The evaluation method comprises steps of performing a continuous operation test for a miner and dividing an N-back task into a memory part and a judgment part; arranging the memory part before a CPT task, and the judgment part after the CPT task; taking the whole N-back task as a disturbing variable for increasing brain load on the to-be-tested miner; selecting 58 channel brain electrical data from data acquired by a Neurone 64 guiding system so as to analyze brain electrical characteristics of the miner with brain load; filtering the acquired brain electrical data via the genetic algorithm; and analyzing the brain load of the miner by use of the filtered brain electrical data. According to the invention, by controlling the brain load of a miner, pressure in the work of a miner is reduced; behavior errors of the workers are reduced; unsafe acts of the miner are reduced and avoided; accidents of coal mine enterprises are prevented; accident rate of human factors is reduced; and the evaluation method has important practical significance for management level of coal mine safety production in China.

Description

technical field [0001] The invention relates to the field of coal mines, in particular to a method for evaluating miners' mental load based on EEG detection. Background technique [0002] The coal industry is the pillar industry of my country's economic development, and coal is the main energy consumption in my country at present. Coal miners who work in special industries are a special working group. [0003] According to relevant occupational surveys, the average mental burden of miners engaged in underground work reaches 8.3, ranking first in all industries. After statistical analysis, we found that human accidents always occupy the dominant position in the composition of accidents in my country's coal enterprises. More than 80% of accidents in coal mines are caused by personnel violations or improper management of on-site managers. [0004] With the application of large-scale technology in the field of coal mine production, the complexity and intelligence level of man-m...

Claims

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Application Information

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IPC IPC(8): G06F19/00
Inventor 李红霞邸鸿喜周楠田水承肖泽元李芳
Owner XIAN UNIV OF SCI & TECH
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