基于本体的地铁车站施工安全风险知识自动化识别

Ontology-based automatic identification on safety risk knowledge of subway station construction

为有效避免在地铁车站建设过程中,应用不同类型的施工方法时所引起的不同风险事故,提出1种基于本体的地铁车站施工安全风险知识自动化识别方法。首先,采用本体OWL语言对地铁车站施工安全风险知识格式化,利用Protégé工具对定义的类、对应的属性及其关系进行编码;然后,对相应的风险事件进行SWRL规则语言创建;最后,利用Jess推理引擎,通过OWL+SWRL组合将本体知识和规则语言转化为事实,完成安全风险自动化识别。研究结果可在一定程度上实现风险知识的共享、重用和传递,规范施工时的安全风险知识,并为相关企业在地铁车站施工安全管理方面提供一定参考。

To effectively avoid the risk accidents caused by applying different types of construction methods during the construction of subway stations,the sharing,reuse and transfer of risk knowledge were realized,and the safety risk knowledge during construction was standardized.Firstly,the ontology OWL language was used to format the safety risk knowledge of subway station construction,and the Protégétool was used to encode the defined classes,corresponding attributes and relationship.Secondly,the SWRL rule language was created for the corresponding risk events.Finally,the Jess inference engine was used to transform the ontology knowledge and the rule language to the facts through the combination of OWL+SWRL,so as to complete the automated identification of safety risk incidents.The research results can provide certain reference for the relevant enterprises in the construction safety management of subway stations.