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基于故障预测与健康管理的边坡安全监测预警体系

黄铭,  刘俊

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文章导航 > 工业建筑  > 2020 >  50(5): 66-70,43
黄铭, 刘俊. 基于故障预测与健康管理的边坡安全监测预警体系[J]. 工业建筑, 2020, 50(5): 66-70,43. doi: 10.13204/j.gyjz202005011
引用本文: 黄铭, 刘俊. 基于故障预测与健康管理的边坡安全监测预警体系[J]. 工业建筑, 2020, 50(5): 66-70,43. doi: 10.13204/j.gyjz202005011
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HUANG Ming, LIU Jun. THE SAFETY MONITORING AND PROGNOSTIC SYSTEM OF SLOPE BASED ON PHM[J]. INDUSTRIAL CONSTRUCTION, 2020, 50(5): 66-70,43. doi: 10.13204/j.gyjz202005011
Citation: HUANG Ming, LIU Jun. THE SAFETY MONITORING AND PROGNOSTIC SYSTEM OF SLOPE BASED ON PHM[J]. INDUSTRIAL CONSTRUCTION, 2020, 50(5): 66-70,43. doi: 10.13204/j.gyjz202005011
shu

基于故障预测与健康管理的边坡安全监测预警体系

doi: 10.13204/j.gyjz202005011

  • 1. 合肥工业大学土木与水利工程学院, 合肥 230009;

  • 2. 三峡库区地质灾害教育部重点实验室(三峡大学), 湖北宜昌 443000;

  • 3. 上海交通大学船舶海洋与建筑工程学院, 上海 200240

基金项目: 

水利部公益性行业专项（201401063-02）；安徽省科技攻关计划项目（1604a0802106）；三峡库区地质灾害教育部重点实验室开放研究基金资助项目（2015KDZ03）。

详细信息
    作者简介:

    黄铭,1972年出生,男,教授,博士生导师。电子信箱:Lsxhuangm@hotmail.com

THE SAFETY MONITORING AND PROGNOSTIC SYSTEM OF SLOPE BASED ON PHM

  • 1. School of Civil Engineering, Hefei University of Technology, Hefei 230009, China;

  • 2. Key Laboratory of Geological Hazards on Three Gorges Reservoir Area(China Three Gorges University), Ministry of Education, Yichang 443000, China;

  • 3. School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiaotong University, Shanghai 200240, China

    摘要
  • 摘要: 为定量识别边坡的运行状态、预测其失稳风险，基于故障预测与健康管理（PHM）方法，构建边坡安全监测PHM系统框架；以位移为代表，采用基于性能退化的故障预测思想，定义基于边坡实际位移量的故障率和安全储备度；根据边坡滑动失稳特征，结合斋藤迪孝法及神经网络，建立故障率及安全储备度算式，得到性能退化时间曲线，实现边坡位移故障与安全储备的动态识别及预测，为采取相应治理、防范措施提供直接依据。结合某边坡监测信息，阐述边坡PHM系统位移故障预测的实现过程，建立的分析模型及预测结果与实际情况相符。
    Abstract: In order to quantitatively recognize the operation state of a slope and predict its risk of instability, based on the theory of Prognostic and Health Management (PHM), the framework of slope PHM system was studied considering the monitoring situation. Based on the performance degradation fault forecast method, the Failure Rate (FR) and Residual Safety Degree (RSD) were defined based on the actual displacement of slope. According to the characteristics of slope sliding, combining Saito Michitakanori method and neural networks, the slope slip time and the critical displacement were predicted from the monitoring displacements. The FR and RSD formulas were established, and the performance degradation time curve was drawn to realize the quantitative identification and forecast FR and RSD. They could be used to provide direct guidance for appropriate governance and maintenance. According to the monitoring information of a slope, the FR forecast process of displacement for slope PHM system was explained in detail. Its analytical model and forecasted results were in good agreement with the slope actual situation.
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    • 参考文献(22)
  • 朱继良,黄润秋,张诗媛,等.某大型水电站高位边坡开挖的变形响应研究[J].岩土工程学报,2010,32(5):784-791.
    黄铭. 数学模型与工程安全监测[M]. 上海:上海交通大学出版社,2008.
    杨强,潘元伟,程立,等. 蓄水期边坡及地基变形对高拱坝的影响[J]. 岩土力学与工程学报,2015,34(增刊2):375-382.
    黄铭,刘俊.降雨影响下高边坡渗压神经网络监测模型[J].上海交通大学学报, 2013,47(10):1548-1551.
    黄铭,刘俊,葛修润. 边坡开挖期实测位移的分解与合成预测[J].岩石力学与工程学报, 2003,22(8):1320-1323.
    JOUIN M, GOURIVEAU R, HISSEL D. Prognostics and Health Management of PEMFC:State of the Art and Remaining Challenges[J].International Journal of Hydrogen Energy, 2013, 38(35):15307-17317.
    蓝祝光,黄铭. 基于实测信息的海堤PHM系统框架及关键技术研究[J].水土保持通报, 2017, 37(3):307-313.
    蓝祝光,黄铭.海堤故障预测和健康管理系统的多目标维修决策优化模型[J].工业建筑,2019,49(1):123-129.
    莫固良,汪慧云,李兴旺,等. 飞机健康监测与预测系统的发展及展望[J].振动测试与诊断,2013, 33(6):925-930

    ,1089.
    KHAN H, AL-GAYEM Q, RICHARDSON A M. A Housekeeping Prognostic Health Management Framework for Microfluidic Systems[J]. IEEE Transactions on Device and Materials Reliability,2017,17(2):438-449.
    ALEXANDRU P, JAKUB G P, BAGETTI J M, et al. Prognostics and Health Monitoring of Electronic System:A Review[C]//18th International Conference on Thermal, Mechanical and Multi-Physics Simulation and Experiments in Microelectronics and Microsystems, EuroSimE 2017. Dresden, Germany:Institute of Electrical and Electronics Engineers Inc, 2017:1-11
    MEHDI B, KAMAL M, MOHAMMED L, et al. Critical Components Selection for a Prognostics and Health Management System Design:An Application to an Overhead Contact System[C]//2016 Annual Conference of the Prognostics and Health Management Society, PHM 2016. Denver Co., United States:Prognostics and Health Management Society, 2016:93-100.
    黄赞武. 轨道电路故障预测与健康管理关键技术研究[D].北京:北京交通大学, 2013.
    LAN Z G, HUANG M. Health Assessment Model and Maintenance Decision Model for Seawall PHM System[J]. Arabian Journal for Science and Engineering, 2019,44(10):8377-8387.
    曾声奎.故障预测与健康管理(PHM)技术的现状与发展[J].航空学报,2005,26(5):627-632.
    金赛赛,黄考利,连光耀,等. 面向PHM的复杂装备系统故障预测技术研究[J].信息技术, 2013(12):200-202.
    冯添乐,江永丰. 基于支持向量回归机的可靠度预测模型[J],计算机与数字工程,2011,39(2):29-32.
    中华人民共和国住房和城乡建设部.建筑基坑工程监测技术规范:GB 50497-2009[S].北京:中国建筑工业出版社,2009.
    中华人民共和国水利部.水利水电工程边坡设计规范:SL 386-2007[S].北京:中国水利水电出版社, 2007.
    中华人民共和国国土资源部.崩塌、滑坡、泥石流监测规范:DZ/T 0221-2006[S]. 北京:中国标准出版社,2006.
    贺可强,陈为公,张朋. 蠕滑型边坡动态稳定性系数实时监测及其位移预警判据研究[J]. 岩石力学与工程学报,2016,35(7):1377-1385.
    陆迎寿,黄铭,蓝祝光.人工神经网络在海堤非稳定渗流参数反演中的应用[J].南水北调与水利科技, 2015,13(6):1147-1150.
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出版历程
  • 收稿日期:  2019-11-13
  • 刊出日期:  2020-07-14

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