网络爬虫和案例推理技术在煤矿智能应急预案系统中的研究及应用

目前大多数应急预案系统中事故案例库的案例通常通过人工从网站和书籍中收集而来,不仅工作量大,效率低下,而且获取之后通常是一个案例文本,没有实现自动结构化存储,无法高效的为预案编制提供参考,更不能对救援起到辅助决策支持的作用.针对存在的问题,本系统通过采用网络爬虫技术获取到大量事故案例并通过人工智能中分词技术处理之后进行自...

Research and application of web crawler and case reasoning technology in mine intelligent emergency plan system

At present,most of the accident cases in the emergency plan system are usually collected from websites and books manually,which not only has heavy workload and low efficiency,but also does not realize automatic structured storage after obtaining,so it can not provide reference for the preparation of the emergency plan,let alone play the role of assistant decision support for rescue.In view of the existing problems,a large number of accident cases are obtained by using web crawler technology,and automatic structured storage is carried out after processing by word segmentation technology in artificial intelligence.KNN algorithm is introduced into case-based reasoning to improve the case retrieval ability of case-based reasoning,and recommend accident cases similar to sudden accidents.Through data collection,data cleaning,structured storage,data mining and visual display,and according to the mine site situation and accident samples,combined with the mine plan template,the guiding emergency plan blueprint is generated to improve the intelligent emergency plan preparation level of the emergency plan system.