摘要
依据共享仓储货物定位精度准和盘点效率高的要求,提出了一种采用改进灰狼算法(Gray Wolf Optimization Algorithm)的货物动态盘点方法。通过射频识别技术和接收信号强度测距方法搭建了货物的三维定位模型;采用粒子群参数优化的灰狼算法对仓储货物的三维定位进行解算,实现共享仓储的自动盘点。仿真结果表明,改进的灰狼算法具有较好的定位精度和稳定的寻优性能,可以满足复杂动态环境下共享仓储货物盘点要求。
According to the requirements of accurate positioning and high inventory efficiency of public warehouse, a dynamic inventory method based on gray wolf optimization algorithm was proposed. Firstly, the three-dimensional positioning model of goods was built by using radio frequency identification technology and received signal strength indicator method;Then an improved gray wolf algorithm was used to solve the three-dimensional positioning of warehouse goods, so as to realize the automatic inventory of public warehouse. The simulation result shows that the improved gray wolf algorithm has higher positioning accuracy and better performance which can meet the requirements of the public warehouse inventory in complex dynamic environment.
作者
张富强
许锋立
邵树军
杜超
ZHANG Fu-qiang;XU Feng-li;SHAO Shu-jun;DU Chao(Key Laboratory of Road Construction Technology and Equipment of MOE,Chang'an University,Xi'an Shanxi 710064,China;Institute of Smart Manufacturing Systems,Chang'an University,Xi'an Shanxi 710064,China;Shaanxi Fast Gear Co.,Ltd.,Xi'an Shanxi 710119,China)
出处
《计算机仿真》
北大核心
2023年第1期400-404,552,共6页
Computer Simulation
基金
陕西省科技重大专项(2018zdzx01-01-01)
陕西省自然科学基金(2021JM-173)
陕西高等教育教学改革研究重点攻关项目(19BG010)
中央高校基本科研业务费专项资金基础研究项目(300102250201)。
关键词
共享仓储
动态盘点
改进灰狼算法
射频识别技术
接收信号强度测距
Public warehouse
Dynamic counting
Improved grey wolf algorithm
Radio frequency identification
Received signal strength indicator
