商玉林

摘要：为了更好地完成仓储管理系统数据录入，保证仓储货物位置信息准确性，本文提出基于数据分析的蓝牙室内定位技术，将定位技术集成应用于PDA设备，快速定位录入位置信息，大大提高仓储效率。首先通过手机模拟获取不同距离范围多个蓝牙信标随时间序列变化的RSSI信号数据，由信号距离转换公式得出RSSI信号对应的计算距离；再采用高斯拟合阈值剔除方法剔除异常值，使用测距误差修正法得出修正一次变量和常数变量参数，修正计算距离，通过数据分析保证计算距离精确性；最后由加权质心定位算法求得定位坐标。本文采用蓝牙室内定位，成本低廉易于布置，应用价值高，推进物联网技术应用于仓储管理系统，为后续仓储数据智能战略奠定一定基础。

Abstract： In order to better complete the data entry of the warehouse management system and ensure the accuracy of the location information of the warehouse goods， this paper proposes a Bluetooth indoor positioning technology based on data analysis， integrates the positioning technology into the PDA equipment to quickly locate the location information and greatly improve the storage efficiency. Firstly， the RSSI signal data of multiple Bluetooth beacons changing with time series in different distance ranges is obtained by mobile phone simulation. The calculation distance corresponding to the RSSI signal is obtained by the signal distance conversion formula. Then the Gaussian fitting threshold culling method is used to eliminate the outliers. The error correction method is used to obtain the correction of the primary variable and the constant variable parameter， correct the calculation distance and ensure the accuracy of the calculation distance through data analysis. Finally， the weighted centroid localization algorithm is used to obtain the localization coordinate. This paper adopts Bluetooth indoor positioning， which has low cost， easy layout and high application value， promotes the application of Internet of Things technology to the warehouse management system， and lays a foundation for the subsequent warehousing data intelligence strategy.

關键词：仓储管理系统；蓝牙室内定位；测距误差修正；数据分析；加权质心定位

Key words： warehouse management system；Bluetooth indoor positioning；ranging error correction；data analysis；weighted centroid localization

中图分类号：TN919.6 文献标识码：A 文章编号：1006-4311（2018）28-0246-04

0 引言

在互联网与大数据契合的AI时代驱动下，物联网自动化技术要求越来越高，在整个供应链中起承上启下作用[1]，协调生产和消费的重要协调机制仓储管理系统有了更高的要求。现阶段通过手工给仓储货物编号，PDA录入货物编号获取位置等数据信息，效率相对传统货物信息存储有所提高，但已经不能满足现阶段互联网与大数据交织时代的需求。物流技术的兴起，存取货物要求高效且保证货物信息质量，手工编号存入效率低、自动化程度不高，并且需要不定周期盘库作业，以此保证货物信息数据与质量安全要求。……