基于本体和案例推理的深基坑施工安全风险评估

为了更好地实现深基坑施工安全风险评估，利用本体模型和案例推理技术研究深基坑施工安全风险知识的重用。通过对风险评估案例的分析，设计深基坑施工安全风险评估的本体模型，使案例表示更加规范化，同时为领域知识提供了良好的共享性和可扩展性。将历史案例数据进行整理并构建子案例库用于案例推理，运用案例推理技术匹配出相似案例，确定目标案例的风险等级和措施清单。运用本体和案例推理技术，结合工程实际开发了深基坑施工安全风险评估模型，实现了风险评估的知识重用，为专家和技术人员提供了高效的风险评估支持。

Safety Risk Assessment of Deep Foundation Pit ConstructionBased on Ontology and Case-based Reasoning

To better evaluate the safety risk of deep foundation pit construction，this paper studied the reuse of safety riskknowledge of deep foundation pit construction by using ontology model and case-based reasoning. Through the analysis of riskassessment cases，the ontology model of safety risk assessment for deep foundation pit construction was designed to make the casepresentation more standardized, which is beneficial for the sharing and extension of domain knowledge. The data of historical caseswere sorted out and a sub-case database was built for case-based reasoning. CBR was used to match similar cases and determine therisk level and measure the list of target cases. By using ontology and CBR，the safety risk assessment model of deep pit constructionwas developed in combination with the engineering，which achieves the knowledge reuse of risk assessment. The system providesefficient risk assessment support for experts and technicians.