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河工模型水下地形激光自动测量系统的开发 被引量:2

Development of automatic laser measurement system for underwater topography survey in river model test
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摘要 河工模型试验中水下地形测量精度是非常重要的,介绍了一种新型高精度水下地形测量系统。系统依靠平面定位机构的精准定位,利用激光测距传感器良好的准直性、高精度和对目标无干扰的特点进行水下地形测量,借助基于LabVIEW开发的信号采集程序实现自动连续测量。实践证明,系统操作简单、运行可靠、精度高。该系统水平定位精度0.01 mm,测量精度±1 mm。 The accuracy of underwater topography measurement is very important in the river model test.This paper introduces a kind of new underwater topography measurement system with high accuracy.Depending upon accurate localization of plane positioning mechanism and collimation,high accuracy and noninterference of the laser range sensors,the system measures underwater topography with the aid of signal acquisition program based on Labview.The system realizes high accurate topography survey continuously and automatically.Practices show that the system operation is simple and reliable with high precision.
出处 《人民长江》 北大核心 2009年第24期62-65,共4页 Yangtze River
基金 国家自然科学基金(10702042) 上海交通大学青年教师科研启动基金(A2823B) 上海市重点学科建设项目资助(B206)
关键词 地形测量 激光 LABVIEW 数据采集 topography survey laser Labview data acquisition
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  • 1刘晶,张定华,毛海鹏,赵歆波.基于SVD-ICP算法配准CT切片重构模型与CAD模型[J].计算机工程与应用,2004,40(24):195-196. 被引量:12
  • 2陈海玉,徐福卫,陶莉.基于非接触式光学测量的滑坡模型位移测试[J].三峡大学学报(自然科学版),2005,27(6):487-489. 被引量:2
  • 3沙定国,实用误差理论与数据处理,1993年,26页
  • 4周航慈,单片机应用程序设计技术,1991年,65页
  • 5李启虎,声纳信号处理引论,1985年,105页
  • 6L. Iocchi,K. Konolige, M. Bajracharya. Visually realistic mapping of a planar environment with stereo[C]: International Symposium on Experimental Robotics, 2000:521-532.
  • 7S. Thrun, W. Burgard, D, Fox. A real-time algorithm for mobile robot mapping with applications to multi robot and 3D mapping[C]:In Proceedings of the IEEE International Conference on Robotics and Automation, 2000.
  • 8C. Frueh, A. Zahkhor. Fast 3D model generation in urban environments[C]: In International Conference on Multisensor Fusion and Integration for Intelligent Systems, Baden-Baden, Germany, 2001-08:165-170.
  • 9Y. Liu, R, Emer, Chakrabarti,W. Burgard, S. Thrun. Using EM to learn 3D models of indoor environments with mobile robots[C]:In Proceedings of the Inter national Conference on Machine Learning, 2001:329- 336,
  • 10http://playerstage.sourceforge.net.

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