标准科学Issue(4)：49-54,6.DOI:10.3969/j.issn.1674-5698.2024.04.009
油田环保安全领域标准智能问答关键技术研究
Research on Intelligent Q&A Technology for Oilfield Environmental Protection and Safety Standards
鲁小辉 1王凯月2
作者信息
- 1. 中国石油化工股份有限公司安全监管部
- 2. 中国石油化工股份有限公司胜利油田分公司技术检测中心
- 折叠
摘要
Abstract
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引用本文复制引用
鲁小辉,王凯月..油田环保安全领域标准智能问答关键技术研究[J].标准科学,2024,(4):49-54,6.
