Changes in hazard identification characteristics under combined conditions of noise and danger levels-evidence based on multimodal data
In this study,we aim to investigate the changes in different indicators of miners'intrinsic processing during hazard identification tasks in a mixed noise and hazard level environment.Four different environments are simulated:a mixed noise and high hazard environment,a mixed noise and low hazard environment,a mixed noise-free and high hazard environment,and a mixed noise-free and low hazard environment.A total of twenty-three male miners participated in this test,with the exclusion of the influence of gender and noise sensitivity.The multimodal data of the subjects in the mixed environment test are collected using various instruments,including a portable Electroencephalogram(EEG)acquisition system,a man-machine efficacy analysis system,a wireless sensing physiological instrument,and an E-prime program.The collected data include reaction time and correct rate of the hazard recognition task,as well as components of the brain's response(P100,P200,and P300)induced by the hazard recognition task.Additionally,three indicators of Heart Rate Variability(HRV)are analyzed,including time domain analysis indicators[heart rate HR(bpm),heartbeat interval IBI(ms)],and frequency domain analysis index(sympathetic and parasympathetic dynamic balance index:LF/HF).The results demonstrate that the correctness rate of hazard recognition decreases and reaction time increases in the presence of noise.The amplitude of the P300 component in the frontal area of the brain is significantly higher in the presence of noise,indicating that noise affected higher cognitive processing.All three HRV indexes are significantly elevated in a noisy environment.Furthermore,noise has a greater impact on high-hazard scenes,while low-hazard scenes are more difficult to identify in the absence of noise.These findings highlight the importance of emphasizing safety hazards in noise-free environments for effective safety management.This study provides direct evidence of the effects of noise and hazard level on hazard recognition,offering a scientific basis for noise prevention and control,as well as safety hazard management in mining and coal mining enterprises.
safety somatologyhazard identificationnoise environmenthazard levelsmultimodal data
万方数据
维普
