张斌, 陈莉, 唐琳, 滕飞, 冷佳伟, 王晓丽, 路遥. 基于AI语音交互和专业分类的安规题库快速查找系统[J]. 电力安全技术, 2023, 25(12): 27-29.
引用本文: 张斌, 陈莉, 唐琳, 滕飞, 冷佳伟, 王晓丽, 路遥. 基于AI语音交互和专业分类的安规题库快速查找系统[J]. 电力安全技术, 2023, 25(12): 27-29.
ZHANG Bin, CHEN Li, TANG Lin, TENG Fei, LENG Jiawei, WANG Xiaoli, LU Yao. Quick Search System of Safety Regulation Question Bank Based on AI Voice Interaction and Specialty Classification[J]. Electric Safty Technology, 2023, 25(12): 27-29.
Citation: ZHANG Bin, CHEN Li, TANG Lin, TENG Fei, LENG Jiawei, WANG Xiaoli, LU Yao. Quick Search System of Safety Regulation Question Bank Based on AI Voice Interaction and Specialty Classification[J]. Electric Safty Technology, 2023, 25(12): 27-29.

基于AI语音交互和专业分类的安规题库快速查找系统

Quick Search System of Safety Regulation Question Bank Based on AI Voice Interaction and Specialty Classification

  • 摘要: 针对电力安规培训和学习效率低的问题,设计了一种基于AI语音交互和专业分类的安规题库快速查找系统,基于电力安规文本特性和语音智能交互技术,通过对人员专业的分类,能够迅速缩小安规知识查找范围,精准反馈安规知识,提高安规知识的培训和学习效率,该系统可在不同专业不同区域快速部署和应用,提高电网人员对电力安规知识学习的效率。

     

    Abstract: In allusion to the problem of low efficiency of electric power safety training and learning, a quick search system for safety regulation question bank based on AI voice interaction and specialty classification is designed. Based on the text features of electric power safety regulations and voice intelligent interaction technology, classifying the personnel’s specialties is prone to rapidly reduce the searching scope of safety regulation knowledge, accurately feed back safety regulation knowledge, and improve the efficiency of safety regulation knowledge training and learning. The system is available for rapid deployment and application in different areas of different disciplines so as to improve the efficiency of power grid personnel in learning power safety regulations.

     

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