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作 者:尚金光[1] 官超伟[1] 万学鑫 张献州 SHANG Jinguang;GUAN Chaowei;WAN Xuexin;ZHANG Xianzhou(Chengdu Institute of Surveying and Mapping Survey,Chengdu 610081,China;Liuzhou Institute of Surveying and Mapping Survey Co.,Ltd.,Liuzhou 545000,China;Faculty of Geosciences and Environmental Engineering,Southwest Jiaotong University,Chengdu 610031,China)
机构地区:[1]成都市勘察测绘研究院,四川成都610081 [2]柳州市勘察测绘研究院有限公司,广西柳州545000 [3]西南交通大学地球科学与环境工程学院,四川成都610031
出 处:《测绘与空间地理信息》2023年第4期193-196,200,共5页Geomatics & Spatial Information Technology
摘 要:对于大型工程变形监测而言,其监测内容不仅仅是几何变形,还包含应力应变、周边环境等,从而需要多源信息采集技术,以及与此相适应的多源数据分析模型。隧道属于高度非静定结构物,承受的外力条件随复杂的地质和环境的影响,变形规律难以完全掌握。通过分析某运营隧道物联网多源监测数据,基于预警区间改进权距离模糊转换方法,建立了分段层次分析-模糊综合评估模型,得出各段的评语等级,形成隧道安全系数随里程的监测曲线。For large engineering deformation monitoring,the monitoring content is not only the geometric deformation,but also the deformation of the stress strain,surrounding environment,etc.,which requires multi-source information collection technology and multi-source data analysis model.The tunnel is a highly statically indeterminate structure,and the external force condition is difficult to fully grasp due to complicated geological and environmental effects.By analyzing the multi-source monitoring data of the Internet of Things in an operating tunnel,based on the improved weighted distance fuzzy conversion method in the early warning interval,a subsection analytic hierarchy process-fuzzy comprehensive evaluation model is established,and the evaluation grade of each section is obtained,and the monitoring curve of tunnel safety coefficient with mileage is formed.
分 类 号:P25[天文地球—测绘科学与技术] TB22[天文地球—大地测量学与测量工程]
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