语音交互技术在矿山救护队应急救援管理系统中的应用

李文峰, 李大娟, 张军会

李文峰,李大娟,张军会.语音交互技术在矿山救护队应急救援管理系统中的应用[J].工矿自动化,2019,45(11):98-101.. DOI: 10.13272/j.issn.1671-251x.2019070033
引用本文: 李文峰,李大娟,张军会.语音交互技术在矿山救护队应急救援管理系统中的应用[J].工矿自动化,2019,45(11):98-101.. DOI: 10.13272/j.issn.1671-251x.2019070033
LI Wenfeng, LI Dajuan, ZHANG Junhui. Application of voice interaction technology in emergency rescue management system for mine rescue team[J]. Journal of Mine Automation, 2019, 45(11): 98-101. DOI: 10.13272/j.issn.1671-251x.2019070033
Citation: LI Wenfeng, LI Dajuan, ZHANG Junhui. Application of voice interaction technology in emergency rescue management system for mine rescue team[J]. Journal of Mine Automation, 2019, 45(11): 98-101. DOI: 10.13272/j.issn.1671-251x.2019070033

语音交互技术在矿山救护队应急救援管理系统中的应用

基金项目: 

国家重点研发计划项目(2017YFC0703204)

陕西省科技统筹创新工程计划资助项目(2015KTCQ03-10)

详细信息
  • 中图分类号: TD655

Application of voice interaction technology in emergency rescue management system for mine rescue team

  • 摘要: 针对现有矿山救护队应急救援管理系统存在数据录入实时性和交互性较差、应急处置消息传递手段落后等问题,将语音交互技术应用到矿山救护队应急救援管理系统中,实现了系统报警信息的智能录入和通知公告的语音自动播放等功能。采用语音识别技术智能录入接警信息,快速生成接警记录单,并实时跟踪接警处置情况;采用语音合成技术将通知公告和待办提醒通过语音提醒用户,避免工作延误。测试结果表明,该系统的平均语音识别率为90%以上,语音合成正确率为100%,通过语音识别方式录入接警信息速度明显快于手写和打字方式。现场应用结果验证了该系统的有效性和稳定性。
    Abstract: In view of problems of poor real-time performance and interactivity of data input and backwardness of emergency response message transmission methods in existing emergency rescue management system for mine rescue team,voice interaction technology is applied to emergency rescue management system for mine rescue team to realize functions of intelligent information input of alarm information and voice autoplay of announcements.Voice recognition technology is used to intelligently input alarm information, quickly generate alarm record sheet, and track alarm handling situation in real time; voice synthesis technology is used to remind the user of announcements and to-do items by voice,so as to avoid work delay. The test results show that the average voice recognition rate of the system is more than 90%, and the voice synthesis accuracy rate is 100%,the speed of entering the alarm information by voice recognition is obviously faster than handwritten recording and typing. Field application results verify the effectiveness and stability of the system.
  • 期刊类型引用(5)

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    2. 郁小强,田毅帅,韩磊,王忠军,李寿荣. 语音识别技术在配电网工程建设中的应用. 信息技术. 2023(08): 65-69+76 . 百度学术
    3. 张炳凯,刘浩,郑雯欣,嵇淮,张洁豪,李挺,张秋菊. 基于语音控制的机器人下棋系统开发. 科学技术创新. 2022(25): 159-162 . 百度学术
    4. 桂宇晖,刘婧,刘军,宋刚. 基于智慧工厂的语音交互设计研究. 包装工程. 2020(06): 26-31 . 百度学术
    5. 覃中顺,赵四海,胡云兰,李雷,苏辉,杨波凯. 煤矿井下应急导航系统设计. 煤炭工程. 2020(07): 49-52 . 百度学术

    其他类型引用(6)

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  • 被引次数: 11
出版历程
  • 刊出日期:  2019-11-19

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