文章摘要
高浩钧,王晓玲,倪磊,佟大威,林威伟,何金龙.基于融合GNSS/UWB/RTS的RCC坝智能监控定位补偿方法研究[J].水利学报,2024,55(10):1248-1259,1269
基于融合GNSS/UWB/RTS的RCC坝智能监控定位补偿方法研究
Position compensation technology for intelligent monitoring of RCC dams in deep narrow valley based on GNSS/UWB/RTS fusion
投稿时间:2023-12-08  
DOI:10.13243/j.cnki.slxb.20230770
中文关键词: 碾压混凝土坝  定位补偿  大坝智能监控  卡尔曼滤波  深窄河谷
英文关键词: roller compacted concrete dam  position compensation  intelligent monitoring for dams  Kalman filter  deep narrow valley
基金项目:国家自然科学基金项目(U23B20148);华能集团总部科技项目(HNKJ20-H21TB)
作者单位E-mail
高浩钧 天津大学 水利工程智能建设与运维全国重点实验室, 天津 300354  
王晓玲 天津大学 水利工程智能建设与运维全国重点实验室, 天津 300354  
倪磊 华能澜沧江水电股份有限公司, 云南 昆明 650200  
佟大威 天津大学 水利工程智能建设与运维全国重点实验室, 天津 300354 tongdw@tju.edu.cn 
林威伟 天津大学 水利工程智能建设与运维全国重点实验室, 天津 300354  
何金龙 华能澜沧江水电股份有限公司, 云南 昆明 650200  
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中文摘要:
      近年来,大坝压实质量的智能监控技术逐渐成为研究热点。现有的碾压混凝土(RCC)坝碾压作业过程实时监控技术依赖于全球导航卫星系统(GNSS),然而,对于建设在深窄河谷地区的RCC坝,GNSS系统易受两侧山体信号遮挡干扰。针对上述问题,本研究提出一种基于融合GNSS/UWB/RTS的RCC坝碾压施工智能定位补偿技术。首先,依据悬崖边壁、倒悬体遮挡处的环境特征建立了适用于深窄河谷地区的RCC坝碾压实时监控数学模型;其次,引入了超宽带(UWB)和机器人全站仪(RTS)定位补偿技术,采用耦合新息阈值与最小二乘的改进卡尔曼滤波算法融合GNSS/UWB/RTS的定位数据,实现了遮挡环境下卫星信号的连续稳定定位监控;最后,在西南某大型RCC坝工程中得到应用。结果表明,该方法能够实现对深窄河谷中RCC坝碾压施工的全地形、全过程实时监控,可弥补单纯依赖GNSS进行碾压过程实时监控所不足。
英文摘要:
      In recent years,the intelligent monitoring for the compaction quality of the dams has been the hot topic of the research.The existing real-time monitoring technology for roller compacted concrete(RCC)dams relies on Global Navigation Satellite Systems(GNSS).However,for the roller compacted concrete dams built in deep narrow valleys,the GNSS system is susceptible to the interference of the signal denied caused by the occlusion of mountains.In response to the above issues,this study has proposed an intelligent positioning compensation technology for the compaction construction of RCC dams based on the fusion of GNSS/UWB/RTS.Firstly,a mathematical model for real-time monitoring of RCC dam rolling in deep narrow valley areas was established based on the environmental characteristics of the cliff sidewalls and the obstruction of the inverted suspension.Secondly,the positioning compensation technology using ultra wide band(UWB)and robot total station(RTS)was introduced.An improved Kalman filtering algorithm combining innovation threshold and least squares was adopted to fuse the GNSS/UWB/RTS data for to achieve continuous and stable positioning monitoring in satellite signal denied environments.Finally,the application results in a large-scale RCC dam project in Southwest China show that this method can achieve real-time monitoring of the entire terrain and process of RCC dam construction in deep narrow valleys.The method compensates for the shortcomings of relying solely on GNSS for real-time monitoring of the compaction process.
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