摘要
针对跟踪仪三维控制网测量时因跟踪仪设站位置凭经验布设无法保证测量结果最优的问题,提出一种基于遗传算法的跟踪仪控制网优化设计方法。该方法以多台激光跟踪仪三维网的距离前方交会为理论基础,取目标点精度均方差最小为目标函数,兼顾了工作区域边界、目标点的可视性、跟踪仪间距等约束条件,基于遗传算法实现了跟踪仪设站位置的优化设计。实验结果表明,该优化设计算法具有明显的效果,算法设计出的网形较随机网形的测量精度有明显提高,能够为实际测量中跟踪仪的布设位置提供参考。
Laser tracker three-dimensional control network can get precise coordinates of target points,however,its measuring results are greatly influenced by the distributions of laser trackers,which are always laid by the experience of survey crew. To solve this problem,an optimization design algorithm is put forward for laser tracker control network based on genetic algorithm. According to the theory of space distance intersection,the minimum of mean square of target points＇ error is taken as fitness function,the boundary of the available area,visuality,and distance between the lacer trackers are taken as constraint conditions,the positions of laser trackers are optimized based on genetic algorithm. Measuring precision of optimization designed network and random network are compared,and the experiment result shows that this algorithm has obvious effect,and it can support guidance to actual measuring process.
作者
杨振
郭迎刚
向民志
YANG Zhen;GUO Yinggang;XIANG Mingzhi(Information Engineering University,Zhengzhou 450001,China)
出处
《测绘科学技术学报》
CSCD
北大核心
2018年第2期126-130,共5页
Journal of Geomatics Science and Technology
关键词
激光跟踪仪
遗传算法
三维控制网
优化设计
距离交会
laser tracker
genetic algorithm
three-dimensional control network
optimization design
distance intersection
