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作 者:麻丽娜[1] 段禹 MA Li-na;Duan Yu(North China Electronic Power University Science Technology College,Baoding 071000,China)
出 处:《计算机仿真》2021年第9期429-432,500,共5页Computer Simulation
基 金:国家自然科学基金面上项目(61871182);中央高校基本科研业务费项目(2019MS127)。
摘 要:传统方法在进行冷链物流定位传感器布设时,物流定位精度较差、布设耗时较长、布设传感器定位偏差较大,提出一种激光射频的冷链物流定位传感器布设仿真优化方法。构建冷链物流定位体系,分析传感器冷链物流定位的基本原理;结合信号到达时间差构建定位量测方程,通过微分计算得到传感器网络综合定位误差;通过无偏参数估计误差方差理论获取综合定位误差的最小值,利用遗传算法寻求传感器布设位置的全局最优解,实现冷链物流定位传感器布设仿真优化。实验结果表明,优化后的布设方案传感器布设过程耗时更短,布设传感器网络的定位偏差明显减小。During the cold chain logistics positioning sensor deployment, the traditional method has poor logistics positioning accuracy, long deployment time and large positioning deviation.For this reason, this paper presents an optimization method of cold chain logistics positioning sensor layout simulation based on laser radiofrequency.A cold chain logistics positioning system was constructed to analyze the basic principle of sensor cold chain logistics positioning in detail.The time difference of signal arrival was used to construct the measurement equation of location.According to the results of differential calculation, the integrated positioning error of the sensor network was obtained.Error variance theory was estimated to obtain the minimum value of integrated positioning error via the unbiased parameters.Genetic algorithm was applied to solve the optimal solution of sensor placement, achieving the simulation optimization of cold chain logistics positioning sensor placement.The results show that the optimized layout scheme has a short sensor deployment time and minor positioning deviation.
分 类 号:TN929.11[电子电信—通信与信息系统]
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