Monitoring the real-time temperature, humidity, and physical position status of goods is vital in the cold chain. Diverse logistics technologies and systems have been adopted in the cold chain for monitoring perishable goods. However, these technologies and systems are independent from each other. Data and information in them are not integrated so that information control is not effective. The paper aims to discuss these issues.
By integrating Internet of Things and tracking technologies, this paper proposes an intelligent tracking system, which is designed to achieve effective and fast live monitoring of goods in the cold chain at the lowest cost and with the largest network capacity and simplest protocols.
Structure and information platform design mechanism are introduced. The key part of this system is a wireless sensor network built on Zigbee. Wireless sensors located in cold storages or refrigerated trucks are able to collect and transmit live data quickly and efficiently.
Users of the proposed system can easily monitor goods transported in cold chains. In addition, the system assigns specific servers to save historical data for inquiries.
This study is supported by the Major Program of National Natural Science Foundation of China (Grant No. 71132008), the Planning Fund Program for Social Science in China, Ministry of Education of China (Grant No. 10YJA630059), and the Program of Institute for Industrial Security in China (Grant No. B13L00050).
Luo, H., Zhu, M., Ye, S., Hou, H., Chen, Y. and Bulysheva, L. (2016), "An intelligent tracking system based on internet of things for the cold chain", Internet Research, Vol. 26 No. 2, pp. 435-445. https://doi.org/10.1108/IntR-11-2014-0294Download as .RIS
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