Design Of Logistics Supervision System Based On The Internet Of Things

With the coming of global information age,e-commerce develops rapidly,at the same time,it also drives the development of logistics industry,but there are many problems in the traditional logistics tracking system.For example,you can only query the location of goods at fixed time,and it can only track the whole logistics vehicle,not to detail every cargo,it is easy to cause the phenomenon of loss goods,if the goods are important goods,including valuables and dangerous goods,such as vaccines,gold,inflammable,explosive and corrosive goods,their loss,packet loss or damage will bring huge economic loss and social harm,and if the goods are wrongly distributed,they cannot be recovered in time.To solve these problems,this paper designs a logistics supervision system based on the Internet of things.Modular design method is adopted in this paper,using Nano Pi 2 Fire development board as the vehicle host and the S5P4418 chip as the core processor,the logistics supervision system is designed including GPS vehicle positioning module,RFID cargo tag identification module and GPRS wireless communication module.The design of each module follows the principle of excellent performance,small volume and low power consumption,the system is stable and easy to use.The software adopts embedded Linux architecture,builting the Linux development environment,In the vehicle terminal,the driver of system data acquisition is written,and the driver of each module is completed;In the PC side,implement the background server based on Spring Boot architecture,at the same time,Mysql database table is designed to store the data collected by the vehicle terminal;the front-end part creates the vue project to complete the display of the dynamic page.By visiting the server,you can view the transportation status of goods and the usage situation of vehicles and drivers.Through the test,the webpage can display the real-time location of thegoods and the delivery track,and also realize the management and scheduling of the vehicles and drivers.After many tests,the system has high stability and accurate positioning,which provides a new solution for the future development of Logistics Supervision System Based on the Internet of things.