Research On Location Technology Of Large-Scale Logistics Distribution Center

In recent years, with the development of economy and logistics, logistics distribution center has also made considerable achievements, whose management for cargo tends to be informationalized and intelligent. However, it is still traditional and backward in management of the staff in distribution center. Therefore, in order to assist the managers of distribution center in making efficient management and monitoring, as well as meet the requirement of high-precision location for the staff, this dissertation conducts a research on location technology and algorithm of logistics distribution center, and completes the design and implementation of location system in large-scale logistics distribution center based on a series of algorithm.This dissertation plans to accomplish the work as follows:1. The research of pedestrian inertia location navigation algorithm based on inertial device. Through the feature of human body’s walking, such as gait, periodicity, and full waveform on acceleration, with simple and accessible inertial device, to work out pedestrian pedometer value by the algorithm of "zero crossing, sliding window and judgment of threshold", and to work out the course angle in pedestrian walking by the directional angle compensation algorithm of "Angle compensation and BP neural network compensation".2. The research of grid matching algorithm based on base station RSSI value. With a view to non-line of sight and multipath having an effect on location accuracy, this dissertation proposes the Grid matching algorithm based on base station RSSI value. Through the method of building location fingerprint database offline and real-time locating the received RSSI value matched with database online, to match the best grid and locating point.3. The modified algorithm of particle filtering fusion based on pedestrian inertia location navigation and grid matching of base location. Owing to the interference by complex environment, staff and other equipment, base station location belongs to absolute location with relatively accurate location, and pedestrian inertia location possesses the feature of high precision in relative location. In terms of the two features, this dissertation proposes the modified algorithm of particle filtering fusion based on the both methods, which perfectly combines both advantages, and implements the high precision of real-time location.4. The implementation of location system in large-scale logistics distribution center. This dissertation adopts software and hardware platform that the project designs by itself to complete the implementation of location system in large-scale logistics distribution center. The system carries out position calculating on mobile terminal, and transmits to client through mobile communication networks, real-time display on the map, which gives a convenience for the staff of logistics distribution center to manage and monitor distribution center.