Simulation and Analysis of Coal Mine Safety Escape Routes Based on a Multi-agent Model

In order to discuss the influencing factors of mine escape decision when underground disaster occurs, this paper uses the multi-agent modeling theory to construct the coal mine safety accident escape model. The real escape scenarios of different chamber positions and multiple exits are simulated. Dijkstra algorithm was used for site selection and the shortest escape path is searched by combining breadth-first algorithm and adjacency matrix. The simulation results show that the multi-agent simulation modeling method has great advantages in simulating the evolution of complex systems.

Risk assessment of coal mine safety production management activities based on FMEA-BN

At present, the situation of coal mine safety production is still grim. The key to solve the problem is to analyze the risk of management activities in the process of coal mine safety production. This paper takes the management activities in the process of coal mine safety production as the research object. Firstly, according to the coal mine safety production standardization management system, the safety production management activities are carried out layer by layer. Then, the Failure Mode and Effect Analysis (FMEA) is used to identify the human errors that lead to the failure of management activities at all levels of coal mine. Furthermore, the Fuzzy Set Theory is used to determine the evaluation results of experts on the risk level of coal mine safety production management activities. Combined with Bayesian network (BN), the risk assessment model of coal mine safety production management activities is established. Through the model, the risk probability of coal mine enterprise management activities is accurately calculated. According to the evaluation results, the risk of management activities in coal mine safety production is analyzed.

Experimental Study On The Influence of Mental Fatigue On Risk Decision Making of Miners

Mental fatigue increases risk-taking behavior. Using data collected between June 15 and August 6, 2020, this study investigates the impact of miners’ mental fatigue on risk decision-making to improve risk prevention and prediction abilities, and to reduce the occurrence of coal mine safety accidents. A total of 274 and 33 people participated in the preliminary and formal experiments, respectively. The participants, who were coal miners, visited the lab thrice to complete the pre-experiment, Balloon Analog Risk Task (BART), Iowa Gambling Task (IGT). On the BART, mental fatigue displayed a significantly positive association with risk preference. On the IGT, as mental fatigue increased, net scores continuously decreased, while the frequency of making unfavorable decisions and the probability of taking risks increased. The BART value had no or weak correlations with the net score. Results suggest that mental fatigue leads to an increasing propensity to take risks. Therefore, regarding coal mine safety management, further attention is necessary concerning miners’ mental health, addressing mental fatigue, increasing rest time, and reducing night work. Furthermore, reasonable diet, improved working environments, and a positive attitude toward work should be promoted to reduce or eliminate mental fatigue and avoid decision-making errors that could cause accidents.