传感技术学报2017，Vol.30Issue(5)：746-751,6.DOI:10.3969/j.issn.1004-1699.2017.05.019
基于遗传算法的wMP S系统布局优化研究
Placement Optimization for Workshop Measurement andPositioning System Based on Genetic Algorithm
摘要
Abstract
Workshop Measurement and Positioning System is a type of distributed large-scale indoor measurement system based on the intersection of optical planes. Among the multiple factors affecting measurement errors, the deployment of transmitter is regarded as a direct one influencing the system measuring accuracy and utility efficiency, however,the traditional evaluation models like L,C etc are practically used with lower precision restricted by field conditions. To optimize the measurement system network placement, these researches start with the spatial multi-angle intersection model of this system,take the measuring accuracy as optimization aim,and use genetic algorithm as optimization toolbox, then establish a positioning error model with key values of derivative that 3D data to scanning angle of light plane,characterize the precision with the covariance,more easily and directly produce the optimum network layout of the appointed workspace. Finally,the designed experimental validation shows that this method is effective to optimize the deployment and enhance the precision of measurement.关键词
测量定位系统/交会测量/测量精度/布局优化Key words
measurement positioning system/intersection measurement/accuracy of measurement/layout optimization分类
信息技术与安全科学引用本文复制引用
张耀华,林嘉睿,任瑜,任永杰..基于遗传算法的wMP S系统布局优化研究[J].传感技术学报,2017,30(5):746-751,6.基金项目
国家自然科学基金项目(51305297,51475329) （51305297,51475329）
国家重大科学仪器设备开发专项子任务项目(2013YQ35074702) （2013YQ35074702）
天津市应用基础与前沿技术研究计划项目( 15JCQNJC04600) （ 15JCQNJC04600）
