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建筑塔机塔顶GNSS智能检测模型设计 被引量:4

GNSS-based intelligent inspection model design for tower-top of construction tower crane
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摘要 针对当前的人工周期安全巡检手段存在诸多弊端,设计一种基于卫星定位的建筑塔机塔顶智能检测模型。以GPS系统双频数据为例建立单历元动态检测模型,给出利用双频相关法和直接计算法组合快速确定单历元双差整周模糊度算法流程,提出一种基于历元位置偏差的塔顶三维位移检测参数及预警参数构造方法,建立建筑塔机垂直度全圆智能检测技术。初步实验结果表明,利用智能检测模型解算获得了平面精度优于2 cm、高程精度优于4 cm的动态检测结果。从检测参数和预警参数两个角度验证了模型设计是行之有效的,可为建筑塔机抗倾翻稳定性智能检测提供一种实时算法。 In view of the disadvantages of current manual periodic inspection,an intelligent inspection model for tower-top of construction tower crane based on satellite positioning was designed in this paper.Take dual-frequency data of GPS system for example,the single-epoch dynamic inspection model was built,and the algorithm flowchart of single-epoch double-difference integer ambiguity fast resolution based on DUFCOM and DC algorithms was given,and a construction method of inspection parameters and early-alarm parameters of three-dimensional displacement for tower-top based on location-deviation of epoch was presented to build the verticality intelligent inspection in rounds techniques for construction tower crane.The preliminary experimental results showed that the dynamic inspection results of the horizontal-RMS better than 2 cm and the vertical-RMS better than4 cm are carried out by the proposed intelligent inspection model in this paper.It was verified that the model design was effective from two aspects of inspection parameters and early-alarm parameters.This method could provide a real-time algorithm for intelligent inspection of anti-toppling stability for construction tower crane.
作者 周命端 张文尧 马博泓 王坚 谢贻东 ZHOU Mingduan;ZHANG Wenyao;MA Bohong;WANG Jian;XIE Yidong(School of Glometrics and Urban Spatial Information,Beijing University of Civil Engineering and Architecture,Beijing 102616,China;School of Mechanical elect ronic and Automobile Engineering,Beijing University of Civil Engineering and Architecture,Beijing 102616,China)
出处 《测绘科学》 CSCD 北大核心 2021年第7期1-6,14,共7页 Science of Surveying and Mapping
基金 国家重点研发计划项目(2017YFB0503700) 北京市教委科技计划一般项目(SQKM201710016005) 未来城市设计高精尖创新中心专项(UDC2018030611)。
关键词 全球卫星导航系统 单历元定位算法 智能检测 预警参数 塔式起重机 global navigation satellite system single-epoch positioning algorithm intelligent inspection early-alarm parameter tower crane
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