Research On Intelligent Logistics System Based On Physical Network Technology

With the continuous development of information technology,electronic commerce is becoming more and more mature,the demand of modern logistics has become more and more diversified,the traditional logistics service level has been increasingly unable to meet the needs of consumers.In addition,the traditional modern logistics itself has many problems,such as high operating cost,low efficiency,service delay and so on.With the rapid development of the concept of the wisdom of the earth,such as the wisdom of the city put forward and networking technology,intelligent logistics has been paid attention to and research,intelligent logistics can reduce operating costs,improve logistics efficiency and profits and improve the quality of logistics service function.Although the development of intelligent logistics is also very rapid,but the foundation is not stable,which is the development of which,few want to intelligent logistics system of research,which also limits the development of intelligent logistics.In this paper,the Internet of things technology to do the relevant introduction of the concept of intelligent logistics is defined,from the structure and characteristics of its body also made a related discussion.Then through inspection,collecting and collating the literature,using grounded theory methods through open coding,axial coding and selective coding to draw relevant elements to build intelligent logistics system,system architecture and then summarizes the obtained through the elements of intelligent logistics system,respectively is the system function,system and support system,and to each subdivision system construction in order to build a comprehensive intelligent logistics system based on IOT technology system.Finally,combined with the construction of intelligent logistics system based on the Internet of things technology in Yiwu L group,the interpretation and analysis of the intelligent logistics system has been constructed,from which to draw lessons from it and get inspiration.