1. Ontology knowledge base combined with Bayesian networks for integrated corridor risk warning
- Author
-
Shifeng Liu, Nan Hai, and Daqing Gong
- Subjects
Emergency management ,Computer Networks and Communications ,business.industry ,Computer science ,Process (engineering) ,ComputingMilieux_PERSONALCOMPUTING ,Bayesian network ,020206 networking & telecommunications ,02 engineering and technology ,Ontology (information science) ,Pipeline (software) ,Work (electrical) ,Knowledge base ,Risk analysis (engineering) ,0202 electrical engineering, electronic engineering, information engineering ,020201 artificial intelligence & image processing ,business ,Risk management - Abstract
With the accelerated urbanization process, the emergence of urban underground integrated pipeline corridors is the trend for cities, especially large and medium-sized cities. However, due to the complexity of the internal system of the integrated corridor, there are various risks in the process of its construction and operation and maintenance, and the risk factors are complex and diverse. In this paper, we introduce ontology technology and knowledge base construction into the risk management of integrated pipeline corridor, build an ontology-based knowledge base of integrated pipeline corridor risk, and construct a Bayesian network based on the established risk knowledge base for risk evaluation of identified risk factors. The combination of ontology knowledge base construction and Bayesian network method of integrated pipeline corridor risk makes the risk identification system completer and more effective, and the method can effectively evaluate the disaster risk level of integrated pipeline corridor operation and maintenance, which can meet the practical needs of integrated pipeline corridor operation and maintenance risk management and disaster prevention and mitigation work.
- Published
- 2021