论文

基于海量光纤测温数据的混凝土坝三维温度场分析系统

  • 周华维 ,
  • 赵春菊 ,
  • 陈文夫 ,
  • 周宜红 ,
  • 谭尧升 ,
  • 刘全 ,
  • 潘志国 ,
  • 游皓 ,
  • 梁志鹏 ,
  • 王放 ,
  • 龚攀
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  • 1. 三峡大学 水电工程施工与管理湖北省重点实验室, 宜昌 443002;
    2. 三峡大学 水利与环境学院, 宜昌 443002;
    3. 中国三峡建设管理有限公司, 成都 610041;
    4. 武汉大学 水利水电学院, 武汉 430000;
    5. 河海大学 水利水电学院, 南京 210098;
    6. 三峡大学 计算机与信息学院, 宜昌 443002

收稿日期: 2020-09-01

  网络出版日期: 2021-06-08

Three-dimensional temperature field analyses based on massive optical fiber temperature monitoring data in concrete dams

  • ZHOU Huawei ,
  • ZHAO Chunju ,
  • CHEN Wenfu ,
  • ZHOU Yihong ,
  • TAN Yaosheng ,
  • LIU Quan ,
  • PAN Zhiguo ,
  • YOU Hao ,
  • LIANG Zhipeng ,
  • WANG Fang ,
  • GONG Pan
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  • 1. Hubei Key Laboratory of Construction and Management in Hydropower Engineering, China Three Gorges University, Yichang 443002, China;
    2. College of Hydraulic and Environmental Engineering, China Three Gorges University, Yichang 443002, China;
    3. China Three Gorges Projects Development Co., Ltd., Chengdu 610041, China;
    4. School of Water Resources and Hydropower Engineering, Wuhan University, Wuhan 430000, China;
    5. College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China;
    6. College of Computer and Information Technology, China Three Gorges University, Yichang 443002, China

Received date: 2020-09-01

  Online published: 2021-06-08

摘要

结合大型混凝土坝工程应用需求,提出了光纤埋设施工流程、海量测温数据实时获取方法及坝体三维温度场重构理论,研发了混凝土坝三维温度场分析系统,实现了光纤埋设施工记录和施工质量的可控可查,海量光纤测温数据的实时传输、解析及自动处理,实测温度变化过程分析,坝体二维、三维温度场实时在线重构及可视化等功能,并结合在建白鹤滩大坝工程,分析了该系统的应用模式及效果。实践结果表明:该系统可为海量测温数据的高效利用提供分析平台,为全面掌握坝体真实温度分布特征及变化规律提供新的思路,可直接应用于其他混凝土坝工程的温度监测与分析,也可拓展应用于其他工程海量监测数据的管理与分析。

本文引用格式

周华维 , 赵春菊 , 陈文夫 , 周宜红 , 谭尧升 , 刘全 , 潘志国 , 游皓 , 梁志鹏 , 王放 , 龚攀 . 基于海量光纤测温数据的混凝土坝三维温度场分析系统[J]. 清华大学学报(自然科学版), 2021 , 61(7) : 738 -746 . DOI: 10.16511/j.cnki.qhdxxb.2020.26.043

Abstract

Optical fibers were embedded in a large concrete dam during construction for real-time temperature measurements to enable reconstruction of the three-dimensional temperature distribution in the Baihetan dam. A three-dimensional temperature analysis was developed to manage the fiber optic measurements and predict the construction quality through real-time data acquisition, analysis and processing of the massive temperature data sets to monitor the temperature changes. The results show that the system provides efficient analyses of the massive amounts of temperature data and accurately analyzes the temperature distribution characteristics in concrete dams. This system can be directly applied for temperature monitoring and analysis of other concrete dam projects. The system can also be extended to the management and analysis of massive data sets for other projects.
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