The application of Internet of Things technology in the field of logistics

This article will introduce some application scenarios of iot technology in the field of logistics:

(1) Warehousing enterprise management: Apply the Internet of Things information technology in warehousing to form an intelligent warehousing resource management control system that can effectively improve the efficiency of basic teaching of goods in China, increase the storage capacity, reduce the manpower intensity of the company, reduce the manpower intensity, reduce the cost of human capital, and real-time analysis, display and monitor the amount of goods in and out, improve the delivery accuracy. automatic probe station Complete the work of receiving goods and warehousing, inventory and allocation, picking goods out of warehousing, system data query, backup, statistics, report making, report project management, etc.

(2) Transportation management: Real-time monitoring of transport vehicles and goods is carried out through the logistics vehicle management system to achieve real-time positioning and tracking of transport vehicles and goods, as well as monitoring of the status and temperature and humidity of goods, while monitoring the operating status of transport vehicles, tire temperature, tire pressure, fuel consumption, speed, braking times and other driving behaviors. The cargo, driver, and vehicle driving information are effectively combined to improve efficiency, reduce transportation costs, reduce cargo losses, and deepen understanding of the transportation process.

(3) Intelligent logistics distribution: The distribution center can use the Internet of Things technology to achieve integrated management of goods in and out, inventory and distribution. After entering the warehouse door, the system automatically reads the goods information, and transmits the information to the database and the order comparison through the network. After the inventory is correct, it can be stored, and the system information base will be updated accordingly. In daily inventory work, fixed or handheld readers can be used to achieve automatic scanning, which greatly improves work efficiency. In the distribution process, private 5g the intelligent software system automatically arranges the cargo distribution plan according to customer needs, which can realize intelligent logistics terminal equipment such as intelligent palletizing robots and unmanned trucks in the Internet of Things, combined with operating software to further improve the intelligence of the logistics center.

(4)Supply chain management: In supply chain management, the current state of an item can be obtained in real time through RFID, IR and virtualization, and then communicated to suppliers, manufacturers and raw material suppliers through the network layer of the Internet of Things. It makes every link in the supply chain have the ability to quickly access information and increase processing time. Through the information management of intelligent logistics in the supply chain, the accuracy of customer demand prediction can be improved, and the close cooperation between upstream or downstream enterprises in the supply chain can be promoted to achieve the overall benefit, rather than simply transferring profits.

(5) Traceability management: The application of the Internet of Things to establish a traceable intelligent control system, the main purpose of the research is to achieve teaching quality management and responsibility accountability in the process of intelligent logistics enterprises. private lte Using these product traceability systems, we can realize the intelligent guarantee of the quality and efficiency of the company's products and services in logistics.

The essence of the application of the Internet of Things in the logistics industry is to integrate logistics informatization, gradually integrate the single application of information technology into the system, promote the overall development of the logistics system to automation, visualization, controllability, intelligence, systematization and networking, and ultimately form a smart logistics system.