Analysis and Design of Smart Cold Chain Logistics Simulation Model Based on Internet of Things Technology

Abstract

With the continuous improvement of people’s quality of life and tremendous changes in consumption concepts, people’s demand for fresh agricultural products is increasing, which has led to a huge gap in the supply of fresh agricultural products logistics. In recent years, frequent food quality and safety issues have attracted the attention of consumers and have been highly valued by the country, making enterprises deeply aware of the importance of the refrigeration supply chain. However, the traditional cold chain supply of agricultural products is far from being able to meet the strict quality requirements of food for consumers in terms of production, processing, storage, transportation and sales. Therefore, how to improve the efficiency of the product refrigeration supply chain, reduce logistics costs, and ensure product freshness and quality assurance has become the focus and difficulty of establishing a cold chain supply chain business. This article is based on the analysis and design of the intelligent cold chain logistics simulation model under the Internet of Things technology. Firstly, the literature research method is used to summarize the problems of the intelligent cold chain logistics under the Internet of Things technology and the advantages of the intelligent cold chain logistics under the Internet of Things technology. The feasibility of the intelligent cold chain logistics simulation model under the Internet of Things technology, and then through the analysis of the cold chain logistics process unit and organization, the modeling is carried out based on the analysis results.