Authors

Abstract

In order to improve the safety of cold chain logistics transportation and the accuracy of monitoring results, a design method of agricultural products cold chain logistics safety monitoring system based on the Internet of Things is proposed. The monitoring system includes wireless sensor, embedded and GPS technologies. In order to effectively realize the management of logistics monitoring data, this paper proposes improved Leda criteria to remove outliers in information fusion, and an information transmission method based on multicast greedy forwarding (MGF) algorithm on the basis of traditional management means, thus realizing logistics vehicle monitoring and logistics information tracing. The result shows that the object loss rate of the proposed logistics supervision method is only 1.7%, which is significantly lower than other supervision methods. And the monitoring accuracy of the monitoring method proposed in the study is also significantly higher than other methods, which can achieve effective supervision in the cold chain transport process of agricultural products. The above results show that it is feasible to adopt improved methods to realize the safety monitoring of logistics cold chain transportation, which is of great significance to the external sales of agricultural products and the development of logistics technology.

Abstract in Chinese

为提高冷链物流运输的安全性，提高监测结果的准确性，提出一种基于物联网的农产品冷链物流安全监测系统设计方法。根据农产品冷链物流系统的组成和安全监控系统的设计目标，建立了无线传感、嵌入式和GPS技术支持的农产品冷链物流安全监控系统。通过无线传感器网络实现物流信息的采集，以嵌入式开发板作为监控系统的硬件基础。在GPS技术的支持下，利用移动车载单元采集物流车辆的地理位置信息，获取物流的运输路径。采用信息签名算法保证物流信息的安全性，采集的物流信息采用正交基神经网络进行处理，根据改进的莱达准则去除信息融合中的异常值，采用多播贪婪转发（MGF）算法用来。将综合物流监控信息上传至监控中心或数据中心进行存储和应用。基于物联网技术，对物流车辆进行监控，实现物流信息的可追溯。实验结果表明，该方法具有更低的信息丢失率和更准确的监测结果。