Cold Chain Logistics Supervision of Agricultural Products Supported Using Internet of Things Technology
Miao Yu, Hao Zhang, Jun Ma, Xiaoxia Duan, Shuling Kang, Jiaqi Li
Abstract
With the acceleration of globalization and urbanization processes, cold chain logistics (CCL) for agricultural products plays a pivotal role in modern agricultural supply chains. This study aims to explore methods to enhance the efficiency and quality of agricultural product CCL supervision through the use of Internet of Things (IoT) technology. Addressing challenges, such as real-time data acquisition difficulties, information asymmetry, and data security concerns in the agricultural CCL sector, this research develops an IoT-based agricultural CCL supervision system. This system innovatively integrates three components: 1) a real-time data collection module; 2) a temperature and humidity regulation module; and 3) a logistics information privacy protection module. The latter employs an anonymous authentication based on blockchain to bolster the security and confidentiality of logistics information. The system model is simulated and evaluated by MATLAB. Results demonstrate that the proposed system exhibits optimal computational efficiency, maintaining a computational overhead of approximately 0.10 s, which is lower than other algorithms exceeding 0.13 s. In terms of operational efficiency, with 250 consensus nodes, the consensus throughput remains consistently above 90 bps, while central processing unit utilization does not exceed 20%. Regarding data transmission security, the average delivery rate of the model exceeds 80.48%, and the average leakage rate remains below 5.72% for a data volume of 10 Mb, underscoring robust network data security transmission performance. Therefore, the system model developed in this study significantly enhances the real-time accuracy and security of agricultural product CCL supervision, presenting a pioneering technical solution essential for advancing the efficiency and quality of the supply chain.