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.

随着城市化进程的加快，城市地下综合管道走廊的出现是城市特别是大中型城市的发展趋势。但是，由于综合走廊内部系统的复杂性，其建设，运营和维护过程中存在各种风险，其风险因素复杂多样。在本文中，我们将本体技术和知识库构建引入了集成管道走廊的风险管理中，建立了基于本体的集成管道走廊风险知识库，并基于已建立的风险知识库构建了贝叶斯网络，用于风险评估。确定的风险因素。