Ontology Faults Diagnosis Model for the Hazardous Chemical Storage Device

摘要

Due to high temperature, high pressure, high corrosion and many other factors, the hazardous chemical device is facing more severe security challenges than other industries. Now, the monitoring methods have been very mature, which play a basic monitoring role, not a predictive fault diagnosis. In this paper, the hazardous chemical device's status data will been collected from the existing industrial monitoring network, the real-time data will be preprocessed and then stored in a database, and the data will be imported to the real-time data into the ontology model, the data will be performed by big data processing and automatic reasoning. So that real-time status of hazardous chemical device and the warning of security risks predict are easily got at any time. The model is proposed to solving the problem of knowledge representation and reasoning of the hazardous chemical device based on ontology. The model is analyzed and implemented in Protégé software.