危险与可操作分析方法(hazard and operability analysis,HAZOP)主要采用头脑风暴的形式,将讨论结果记录在纸质文档中,该方法过于依赖专家经验且大量现有的HAZOP信息并没有得到共享与复用。针对此问题,本文提出了结合自顶向下和自底向上...危险与可操作分析方法(hazard and operability analysis,HAZOP)主要采用头脑风暴的形式,将讨论结果记录在纸质文档中,该方法过于依赖专家经验且大量现有的HAZOP信息并没有得到共享与复用。针对此问题,本文提出了结合自顶向下和自底向上的HAZOP知识图谱半自动构建方法。在解析HAZOP信息基础上,结合HAZOP分析国际标准IEC 61882,以危险事件角度设计了HAZOP本体规则,完成了模式层的构建;以现有HAZOP数据为基础,在BiLSTM-CRF命名实体识别模型基础上引入了Attention机制,实现了关键HAZOP信息的自动提取并利用图数据库进行数据存储,完成了数据层的构建。以某油品装置HAZOP分析报告为例构建HAZOP知识图谱,验证了构建方法的有效性。结果表明HAZOP知识图谱能够清晰地展示HAZOP知识之间的联系,快速提供现有HAZOP分析信息,辅助人工HAZOP的开展,降低人工成本与时间成本,也为后期项目的生产与维护提供知识支撑,实现了HAZOP信息的共享与复用。展开更多
Landslide hazard mapping is a fundamental tool for disaster management activities in Loess terrains. Aiming at major issues with these landslide hazard assessment methods based on Naive Bayesian classification techniq...Landslide hazard mapping is a fundamental tool for disaster management activities in Loess terrains. Aiming at major issues with these landslide hazard assessment methods based on Naive Bayesian classification technique, which is difficult in quantifying those uncertain triggering factors, the main purpose of this work is to evaluate the predictive power of landslide spatial models based on uncertain Naive Bayesian classification method in Baota district of Yan＇an city in Shaanxi province, China. Firstly, thematic maps representing various factors that are related to landslide activity were generated. Secondly, by using field data and GIS techniques, a landslide hazard map was performed. To improve the accuracy of the resulting landslide hazard map, the strategies were designed, which quantified the uncertain triggering factor to design landslide spatial models based on uncertain Naive Bayesian classification method named NBU algorithm. The accuracies of the area under relative operating characteristics curves（AUC） in NBU and Naive Bayesian algorithm are 87.29% and 82.47% respectively. Thus, NBU algorithm can be used efficiently for landslide hazard analysis and might be widely used for the prediction of various spatial events based on uncertain classification technique.展开更多
文摘危险与可操作分析方法(hazard and operability analysis,HAZOP)主要采用头脑风暴的形式,将讨论结果记录在纸质文档中,该方法过于依赖专家经验且大量现有的HAZOP信息并没有得到共享与复用。针对此问题,本文提出了结合自顶向下和自底向上的HAZOP知识图谱半自动构建方法。在解析HAZOP信息基础上,结合HAZOP分析国际标准IEC 61882,以危险事件角度设计了HAZOP本体规则,完成了模式层的构建;以现有HAZOP数据为基础,在BiLSTM-CRF命名实体识别模型基础上引入了Attention机制,实现了关键HAZOP信息的自动提取并利用图数据库进行数据存储,完成了数据层的构建。以某油品装置HAZOP分析报告为例构建HAZOP知识图谱,验证了构建方法的有效性。结果表明HAZOP知识图谱能够清晰地展示HAZOP知识之间的联系,快速提供现有HAZOP分析信息,辅助人工HAZOP的开展,降低人工成本与时间成本,也为后期项目的生产与维护提供知识支撑,实现了HAZOP信息的共享与复用。
基金Projects(41362015,51164012) supported by the National Natural Science Foundation of ChinaProject(2012AA061901) supported by the National High-tech Research and Development Program of China
文摘Landslide hazard mapping is a fundamental tool for disaster management activities in Loess terrains. Aiming at major issues with these landslide hazard assessment methods based on Naive Bayesian classification technique, which is difficult in quantifying those uncertain triggering factors, the main purpose of this work is to evaluate the predictive power of landslide spatial models based on uncertain Naive Bayesian classification method in Baota district of Yan＇an city in Shaanxi province, China. Firstly, thematic maps representing various factors that are related to landslide activity were generated. Secondly, by using field data and GIS techniques, a landslide hazard map was performed. To improve the accuracy of the resulting landslide hazard map, the strategies were designed, which quantified the uncertain triggering factor to design landslide spatial models based on uncertain Naive Bayesian classification method named NBU algorithm. The accuracies of the area under relative operating characteristics curves（AUC） in NBU and Naive Bayesian algorithm are 87.29% and 82.47% respectively. Thus, NBU algorithm can be used efficiently for landslide hazard analysis and might be widely used for the prediction of various spatial events based on uncertain classification technique.
