煤矿重大瓦斯事故案例推理应急决策方法

Case-based reasoning emergency decision method of gas accident in coal mines

针对煤矿重大瓦斯事故发生时由于井下复杂、封闭的环境,很难获取较全面、准确的事件信息等问题,采用基于情景检索的事故案例推理应急决策方法,设计其应急决策具体流程,提出基于结构和属性的双重情景检索策略,引入结构相似度的计算方法改进最近相邻检索算法,实例应用表明,该方法克服了因事件信息缺失而导致相似度计算结果不准确的弊端,避免了由于信息缺失导致的案例推理检索系统的失效性,可以有效提高案例检索的有效性和准确性,为煤矿重大瓦斯事故应急决策提供了更完备、更有价值的信息参考.

Due to the complex and closed environment in underground coal mines,it is very difficult to obtain more comprehensive and accurate accident information when a major gas accident occurs.This study investigates the case-based reasoning emergency decision method based on scenario retrieval,and then develops an emergency decision process.In addition,the study introduces a structural similarity calculation method to improve K-nearest neighbour algorithm,and proposes a dual retrieval strategy based on structure and attribute retrieval.The case study results show that the method can overcome the drawbacks of inaccuracy in similarity calculation due to lack of attribute values,and avoid the invalidation of retrieval system caused by information loss.Consequently,the study improves the effectiveness and accuracy of case retrieval,and provides a more complete and valuable reference information for efficient and accurate emergency decision.