物联网多目标运输路径调度系统

Multi-objective transportation route scheduling system in Internet of things

项目研究的目的是为了在物联网环境下,试图解决对多目标进行现代物流配送时的最佳运输车辆路径调度问题。通过融合无线传感器网络、RFID电子射频技术、路径调度粒子群优化算法、数据挖掘技术、地理信息系统等一系列新技术、过程、方法,研究与实现了一种适应现代化物流配送需要的、以物联网为基础的多目标人工智能运输车辆路径调度系统。经过模拟测试与验证,证明系统达到了智能化物流配送路径优化调度的预定结果。

Research project is aimed at property networking environment,attempting to resolve the best transportation vehicle routing scheduling problem.Through the integration of Wireless Sensor Network（WSN）,RFID electronic radio frequency technology,the route scheduling algorithm for particle swarm optimization,data mining technology,geographic information system and a series of new technologies,processes,methods,a network-based multi-object target artificial intelligence transport vehicle routing scheduling system was implemented based on Internet of things.Through simulation testing and verification,the system was proved to achieve an intelligent path to optimal scheduling of logistics.