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.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
