...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of aerospace engineering >Data Fusion Analysis Method for Assessment on Safety Monitoring Results of Deep Excavations
【24h】

Data Fusion Analysis Method for Assessment on Safety Monitoring Results of Deep Excavations

机译：评估基坑安全监测结果的数据融合分析方法

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

A safety monitoring system is usually applied in deep excavations in order to control the construction risk and to ensure the serviceability of adjacent facilities. Considering the mass data collected by different sensors, a reasonable assessment method on the monitoring results is necessary to evaluate the safety state of both the deep excavation itself and the surrounding environment. By introducing the conception of data fusion, a comprehensive assessment method is presented to find the anomaly in the safety monitoring results in this paper. Data fusion analyses on both a single monitoring item and the correlation of multiple monitoring items are proposed and studied. The one-class support vector machines (SVMs) are used to improve the data fusion analysis between a single monitoring item and different excavation parameters, and then developed to three-dimensional (3D) fusion analysis on a single item and multiple parameters of an excavation. The mechanical and geometric patterns between different monitoring items are studied to propose a data fusion analysis on multiple monitoring items and then to build the assessment criteria. Based on these two kinds of data fusion analysis, the mass monitoring data can be analyzed completely to assess the safety state of deep excavations. An application in two cases of deep excavation in Shanghai, China, shows that the proposed method is effective in data anomaly assessment. (C) 2015 American Society of Civil Engineers.
机译：安全监控系统通常用于深基坑中，以控制施工风险并确保相邻设施的可服务性。考虑到不同传感器收集到的大量数据，有必要对监测结果进行合理的评估，以评估深基坑本身和周围环境的安全状态。通过介绍数据融合的概念，提出了一种综合评估方法来发现安全监控结果中的异常。提出并研究了对单个监控项和多个监控项的相关性的数据融合分析。一类支持向量机（SVM）用于改进单个监控项和不同挖掘参数之间的数据融合分析，然后发展为针对单个挖掘项和挖掘参数的三维（3D）融合分析。研究了不同监测项目之间的力学和几何图形，提出了对多个监测项目的数据融合分析，然后建立了评估标准。基于这两种数据融合分析，可以完全分析质量监控数据，以评估深基坑的安全状态。在中国上海的两个深基坑工程中的应用表明，该方法在数据异常评估中是有效的。 （C）2015年美国土木工程师学会。

著录项

  • 来源
    《Journal of aerospace engineering》 |2017年第2期|B4015005.1-B4015005.9|共9页
  • 作者

    Chen Jin-Jian; Zhang Wei; Wang Jian-Hua;

  • 作者单位

    Shanghai Jiao Tong Univ, Dept Civil Engn, 800 Dongchuan Rd, Shanghai 200240, Peoples R China;

    Shanghai Jiao Tong Univ, Dept Civil Engn, 800 Dongchuan Rd, Shanghai 200240, Peoples R China;

    Shanghai Jiao Tong Univ, Dept Civil Engn, 800 Dongchuan Rd, Shanghai 200240, Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号