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基于遗传算法的wMP S系统布局优化研究

         

摘要

室内空间测量定位系统(wMPS)是一种采用光平面交会的分布式大尺寸室内空间坐标测量系统.发射站的布局直接影响着该测量系统的测量误差、测量精度和其使用效能,而传统的L、C等测量模型在实际过程中受现场条件限制,测量精度比较低.为优化测量系统的网络布局,从该系统的空间多角度交会测量模型入手,以测量精度为优化目标,采用遗传算法作为优化工具,建立了以三维坐标数据对光平面扫描角的导数为关键的定位误差模型,以协方差来反映测量精度,更简单、直接地实现了在指定测量空间下的最优网络布局.最后设计了实验进行验证,实验结果表明该方法能有效优化布局,提高测量精度.%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.

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