In the coal production, coal belt conveyor as an important device to play a very important role, once the belt is abnormal, it is bound to affect the entire coal mine production safety. Article summarized the application of daily maintenance of belt conveyor under cloud computing environment, and introduces several kinds of common problem solving methods, to optimize the coal mine enterprise safety and stability of the belt conveyor equipment.

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Based on the analysis of dynamic characteristics of the belt conveyor with the long distance and the large dip angle in coal mine, a kind fusion method of Bayes theory and expert system (FMBTES) is proposed which is control method with the change regular of the start process. First, the structure and dynamics model are established for belt conveyor, the priori distributions of the system implementation state is supposed, the conditional probability of dynamics state is made using Bayes theory, next, the change regular of the start process pull force is found, and the change regular of the dynamic resistance is found for belt conveyor,on this basis,the control rule of expert system is established. The FMBTES method is verified by data simulation of Shaanxi Province Huangling Jianzhuang coal mine, which is large dip angle section of the four sections type belt conveyor system, belt length is 1200m. The dynamic characteristic of this method is better than the traditional expert system.