Abstract
In this paper, through the intelligent research of the whole process of logistics and distribution with the Internet of Things supply chain, we study how to improve the development of the cold chain, reduce the loss in circulation, improve the social and economic benefits, and carry out intelligent information collection, monitoring, management, and information tracing of the whole cold chain. This paper analyzes and empirically studies the impact of key technologies of the Internet of Things in cold chain coordination from the perspective of building an intelligent cold chain coordination system with the Internet of Things technology. This paper analyzes the current situation of cold chain logistics and the impact that the application of IoT technology will have, explains that IoT technology can improve the intelligence level of the cold chain, and then introduces the application of intelligent cold chain logistics under IoT orientation, combining the process of cold chain logistics with the three-layer architecture of IoT technology. By extracting the key technologies of IoT perception layer, network layer, and intelligence layer, the intelligent cold chain coordination system based on IoT technology is constructed, and then, the correctness of the system is verified, to have some reference and evaluation for the cold chain construction. The system was then verified to have some reference and guidance significance for the construction and evaluation of the cold chain. The results of this paper are more accurate and more efficient.
Highlights
Related WorksMahmud et al studied the design of smart logistics system in the environment of e-commerce and found that a good smart logistics system can shorten the time cycle of the supply chain and save a lot of costs, and can use accurate and dynamic management methods to accelerate the rapid development of e-commerce [10]
Introduction e combination of artificial intelligence, big data technology, Internet of ings technology, “Internet +” technology and coordination technology has enabled modern coordination technology to develop in the direction of intelligent development and promoted the update of intelligent coordination technology [1]. e intelligent coordination system based on information technology coordinates the perception of the system in warehouses, distribution and information management through timely analysis and processing of organizational information
Logistics technology involves various fields and covers logistics processes such as management, inventory, and distribution; on the other hand, the vigorous development of Internet of ings technology and the coordinated management of intelligent complete systems have produced a good soil for the traditional logistics technology to grow [3]
Summary
Mahmud et al studied the design of smart logistics system in the environment of e-commerce and found that a good smart logistics system can shorten the time cycle of the supply chain and save a lot of costs, and can use accurate and dynamic management methods to accelerate the rapid development of e-commerce [10]. En, an improved genetic algorithm is added to the logistics distribution system path optimization to optimize the distribution path and select the optimal distribution route to achieve the goal of shortening the transportation distance and reducing the time and cost spent on logistics at the time of logistics distribution tasks, in addition to the system viewing the detailed status of logistics distribution tasks at any time This coordination system should realize the centralized management and sharing of coordination management and control, analyze, and involve in decision-making. To make optimal decisions on these issues, it is necessary to have big data and the Internet of ings as the basis to accelerate the flow of information, coordination, and capital in the production process, such as the use of bar codes, radio frequency identification, mobile terminals, and other Internet of ings technology applications to enhance warehouse guidance, operational reminders, and information collection functions to improve warehouse picking, distribution efficiency, and operational quality [24]. In-depth analysis of the time consumption and cost of each business link is required to carry out quantitative data-driven lean management improvement, to help the company’s management transformation, and to aid upgrading [27]. e company’s industrial units should be empowered to carry out analysis of manufacturing costs, product quality, market positioning, and other operational activities to help them
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