Abstract: In order to solve the problem of job type adaptation of production technologist of emergency rescue team for gas explosion accident in coal mine,guided by the thought of “ enterprise emergency,social rescue”,scenario analysis and Bayesian network were combined to deduce the emergency rescue process of gas explosion accident. Firstly,the characteristics of the current situation of emergency rescue in coal mine accidents were analyzed, and five situational elements were determined, including scenario state,disaster environment,emergency response,response target and self-eroluction law. Then the Bayesian network was introduced to determine the relationship between the elements of the scene, and the fuzzy theory was used to deal with the optimization. The scenario deduction model for gas explosion accidents was built. Finally,a coal mine gas explosion accident case was selected,and a posterior probability and sensitivity analysis was carried out by Netica software to find the key emergency response actions,which were matched with the tasks of various types of coal mine jobs. The job type adaptation scheme of production technologist of part-time emergency rescue team for gas explosion accident in coal mine was obtained,and the rationality of the model was verified. The research can provide certain references for the adaptation of emergency rescue job types in coal mines.