Coal chemical production detection system based on fact database

In order to ensure the safety of coal chemical production, a dynamic model that conforms to actual production based on the fact database is established according to the analysis of common modelling methods by taking the characteristics of production process of a chemical enterprise as the research object in this paper. The connotation and realization of sub-modules are discussed. Through the simulation experiment and trial operation, satisfactory results are obtained. In production workshop, harmful gas may leak due to a variety of complex industrial processes. In this paper, different sensor probes are used to detect the concentrations of a variety of harmful and combustible gas in the environment. And the collected data is processed based on the multi-sensor information fusion technology. Experiments show that the detection system based on fact database improves the reliability of production data, and has the function of over-limit sending short messages in real time. This function is realized by hardware and the timeliness of fault processing is improved. It concludes that the detection of coal chemical production can not only improve the efficiency of industrial production, but also strengthen the operation and management of chemical enterprise on industrial production.