Aided Scheduling System Of Industrial Fire Based On Ontology

In the field of industrial fire dispatch, urban transport has largely restricted thedevelopment and implementation of fire protection decisions. It is a serious problem tointegrate heterogeneous data of hazardous chemicals, industrial fire and traffic toquickly and accurately serve the industrial fire traffic scheduling and to support firefighting decisions in the field of fire.As the development of semantic technologies, industrial fire dispatch field hasproduced massive semantic data sets. This paper has built hazardous chemical,industrial fire and traffic heterogeneous knowledge into a standard format KnowledgeBase by using ontology technology, and realized information sharing and transparentaccess. On the basis of the ontology, through logical reasoning, the system can achievethe fast, accurate query on hazardous chemical, industry fire and urban roads ofknowledge. With the combination of traffic forecasting techniques, we can achievetraffic and road planning with semantic consciousness.The article has first developed the traditional seven-step method depending on theguidelines of skeleton method and proposed a new method to construct industrial fireontology that realized the fire prevention domain comprehensive integration, byanalyzing the relative knowledge of hazardous chemical, industry fire and urban roads.Then we determine the hierarchy of industrial fire traffic control ontology, and useprotégé complete the construction of the ontology. Using LarKC platform, with theappropriate plugins of semantic query and reasoning, combined with knowledge ofontology to achieve reasoning and query of fire fighting information and city Road. Atlast, we propose a traffic prediction method based on simulation, the program hasachieved route planning traffic awareness and get the fastest route.