The standards in the field of oilfield environmental protection and safety are of great significance for regulating and guiding the safety production,green development,and efficiency improvement of the industry.The standard knowledge in this field is relatively complex,which is difficult to be understood.To effectively solve the above problems,this paper conducts research on key technologies for intelligent Q&A of standards in the field of oilfield environmental protection and safety.Firstly,it designs the FAQ engine,including the research on the fast matching techniques based on semantic similarity and similarity rearrangement techniques based on deep learning,to rate user behavior;Secondly,it designs the KGQA engine,including the research on semantic library design models and Graph based search matching models;Finally,it designs a multi engine weighted scoring mechanism that can achieve intelligent Q&A in the field of oilfield environmental protection and safety standards.
关键词
油田环保安全领域/标准/智能问答
Key words
oilfield environmental protection and safety field/standards/intelligent Q&A
维普
万方数据