Due to safety issues when passengers get on and off the subway and spend a lot of time on the subway, this makes subway station signs very important. Moreover, in case of fire and other dangerous situations and emergency evacuation, the guiding signs must be able to guide passengers to leave the station and dangerous areas efficiently and orderly, so as to protect the personal and property safety of passengers. The purpose of this study was to analyze the decision response of subway evacuation signs using the characteristics of the brain components. In this study, subway model is constructed. When you perform simulation using software, you need to fine tune the parameters to get the best simulation effect. A questionnaire survey was made on the components of the subway sign. The results show that the number of people who think that the standard font of the blackboard logo is the most representative of the emergency exit, accounting for 78.2% of the total number of people, taking the image as the first choice accounted for 52.9% of the total number of people, and the green sulfur powder logo as the first choice accounted for 69.8% of the total number. This study makes an important contribution to the research of subway traffic safety problems.
The risk perception and decision-making ability of grassroots managers is the key to the normal operation of enterprises. This study used event-related potential indicators (ERPs) to reveal the process of risk perception and decision-making behaviour of coal mine grassroots managers in different fatigue states. The ERP components, such as CNV, P300, MMN, and FRN, during risk perception, decision-making, and postperception periods were obtained and evaluated. The peak value and variation characteristics of ERP components of grassroots managers under fatigue and nonfatigue conditions were analysed. Accordingly, the effectiveness of decision-making behaviour in different periods was determined. The results showed that the P300 component is a key indicator in measurements of the deviation of grassroots managers’ decision-making behaviour, and FRN could reflect the negative emotions in the decision-making process and reflect the sensitivity of the risk perception of grassroots managers. There was a significant difference between the peak voltages of the ERP components of the grassroots managers in fatigue and nonfatigue states. The peak voltage of the ERP components of the grassroots managers in a fatigue state was generally greater than 10 μV; therefore, the quality of decision-making by the grassroots managers could be evaluated according to the characteristics of the ERP components. This study provides a risk decision-making reference for grassroots managers of coal mine enterprises.
In order to achieve a rapid evaluation of the physiological and psychological state of miners and to solve the problem of how to prevent human-caused accidents underground. Based on the existing literature and expert interviews, a rapid evaluation index system consisting of 2 aspects of physiological state and psychological state, 11 indicators such as body temperature, blood pressure and heart rate is established, and the index weights are determined by using AHP hierarchical analysis. Based on the weights, the physiological and psychological status of coal miners is classified into four levels: excellent, good, medium, and poor. Evaluation criteria also is established. A fuzzy comprehensive evaluation model of coal miners’ physiological and psychological states is constructed, and the subordination suitable for the evaluation of coal miners’ physiological and psychological states is given. Degree function. Using MATLAB2016a to randomly simulate 1000 sets of index data and perform evaluation and analysis, the results found that the proportions of evaluation as excellent and good are 36% and 35%, respectively; the proportions of neutral and poor are 16% and 13%, respectively. The evaluation of the physiological and psychological states of five coal miners in a coal mine in Shaanxi Province, with all results above “good”, is verified to be consistent with reality. Through simulation analysis and example verification, it is shown that the model is reasonable and applicable to the group of coal miners, and is expected to provide theoretical support for the development of subsequent rapid assessment software systems.
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