计算机与现代化

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基于次声监测的泥石流实时预警系统

  

  1. (1.交通运输部天津水运工程科学研究所,天津300456;
    2.成都信息工程大学软件工程学院,四川成都610225;
    3.软件自动生成与智能服务四川省重点实验室,四川成都610225)
  • 收稿日期:2019-06-25 出版日期:2020-03-24 发布日期:2020-03-30
  • 作者简介:尚东方(1987-),男,河北文安人,工程师,硕士,研究方向:3S技术在地学中的应用,交通信息化,E-mail: shangdongfang888@163.com; 刘敦龙(1987-),男,山东临沭人,讲师,博士,研究方向:3S技术在地学中的应用,地质灾害预警报技术,E-mail: ldl@cuit.edu.cn; 韩雪(1989-),女,山西太原人,工程师,硕士,研究方向:计算机视觉,交互设计,E-mail: hx19891129@126.com; 通信作者:王瑞玺(1981-),男,河北滦南人,工程师,学士,研究方向:智慧交通,智慧港航,E-mail: kswrx@163.com。
  • 基金资助:
    中央级公益性科研院所基本科研业务费专项(TKS170209); 四川省科技厅应用基础项目(2018JY0456); 四川省教育厅科研项目(18ZA0091)

Real-time Debris Flow Warning System Based on Infrasound Monitoring

  1. (1. Tianjin Research Institute for Water Transport Engineering, Ministry of Transport, Tianjin 300456, China;
    2. College of Software Engineering, Chengdu University of Information and Technology, Chengdu 610225, China;
    3. Sichuan Province Key Laboratory of Automatic Software Generation and Intelligence Service, Chengdu 610225, China)
  • Received:2019-06-25 Online:2020-03-24 Published:2020-03-30

摘要: 目前的泥石流次声报警设备经常受环境噪声干扰而频繁产生误报,导致无法投入到实际应用中。为了提高泥石流次声监测预警的准确率,基于泥石流次声和环境干扰次声的特征差异这一原理,采用单片机与上位机相结合的方式,借助混合编程、数据库与GIS二次开发等技术手段,设计与开发基于次声监测的泥石流实时预警系统进行现场泥石流次声信号监测与判识。对云南东川蒋家沟长期现场泥石流的监测验证了该系统的工作性能。实际应用结果表明:该系统不仅具有操作简便、响应及时和实时识别等特点,还具有较高的预警准确率,在长达2年的野外监测过程中,仅出现18次误报且无一漏报。

关键词: 泥石流, 次声, 环境干扰, 监测预警, 信号识别

Abstract: False alarm often arises from the current debris flow infrasound alarms under the environmental noise interference; therefore, it cannot be put into practical application. To improve the accuracy of debris flow infrasound monitoring and warning, based on the principle of characteristics difference of infrasound signals generated from debris flow and environmental interference, combining microcontroller with upper computer, an efficient and reliable real-time debris flow early-warning system based on infrasonic monitoring is designed and realized by means of hybrid programming, database and secondary development of GIS, etc. The recognition performance of the system has been verified by long-term in-situ monitoring of debris flows in Jiangjia Gully, Dongchuan, China. The verified results show that the system not only has the characteristics of stable operation, timely response and real-time recognition, but also has high warning accuracy and low false alarm rate, during two years of field monitoring, there were only 18 false positives and none was missed.

Key words: debris flow, infrasound, interference noise, monitoring and warning, signal recognition

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