Design And Implementation Of Smart Logistics System Based On NB-IoT And Edge Computing

With the implementation of the national "Internet+" policy and the continuous development of information technology,group units and high-campus districts around the world have established smart logistics applica-tion service platforms to standardize logistics support processes to improve the efficiency of logistics services.In recent years,more and more emerg-ing IoT technologies have gradually landed,and combined with traditional industries have produced unique smart applications.The application con-cept of the combination of IoT and vertical industries is also driving the transformation and innovation of social management and service models.After many years of development and reform,logistics have their own characteristics and advantages,but there are also many problems,such as backward management methods,low service efficiency,scientific resource allocation.Therefore,in order to promote the upgrading and transformation of logistic work,it is urgent to establish a new smart logistics service plat-form to solve the problems of single platform business types and fewer function modules on the original platform,rationally arrange and allocate logistics resources,and better improve service efficiency.This dissertation meets the actual needs of logistics services,com-bines cutting-edge technology of the Internet of Things,and builds efficient and stable application systems.The goal is to use a combination of software and hardware.The user-oriented web application uses front-end and back-end separation to develop the system.Boot is used as the back-end frame-work and Vue.js is used as the front-end framework.Data is collected through a combination of NB-IoT and edge computing frameworks,so as to realize the intelligent upgrade of the later service platform.The main work and innovations of this dissertation are as follows:1.Investigated the development status and typical cases of intelligent logistics applications at home and abroad,and analyzed the development needs of intelligent applications in the logistics industry in detail.In order to improve the pain points of the existing intelligent logistics applications whose architecture is mostly front-end and back-end integration,in this dissertation,the front-end and back-end separated application architecture is used for application development,which improves the flexibility of sys-tem function expansion and maintenance.2.An IoT application architecture based on NB-IoT and edge compu-ting framework is proposed and designed to build a comprehensive IoT sensing system for logistics services.By building a sensor data collection network based on NB-IoT technology,real-time sensing and monitoring functions of logistics environment information are realized.In order to im-prove the system's compatibility with multiple device communication pro-tocols and the efficiency of data transmission,the IoT gateway based on the edge computing framework is used to implement the device data mon-itoring and management function,and to provide intelligent data pro-cessing services for logistics equipment facilities on the edge side.3.Aiming at problems such as poor real-time response to emergency alarms in logistics systems and vulnerability to network instability,the edge computing gateway business processing and control command send-ing functions are designed and implemented.When device data exceeds the threshold,alarm rules are set by Issue equipment switch control com-mands to improve the timeliness of system early warning.4.Designed and implemented the main functional modules of the lo-gistics system,including user management module,authority management module,logistics announcement module,department management module,log management module,monitoring management module.Functions such as information management,announcement notification,and remote mon-itoring have been implemented,making it easier for logistic staff to per-form paperless office and efficient logistic service management.