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Experimental Investigation of A Real-time Monitoring System for Cold Chain Logistics

In the cold chain logistics, a demand for capturing the real-time condition of products during delivery has increased notedly to assure product quality and satisfy customer’s needs. In this study, an automation system assisted with IoT technologies to obtain timely temperature and humidity data inside a storage box has been developed. Also, its performance concerning signal transmission and adaptability in changing surroundings are tested in a comprehensive way. Five experimental scenarios are introduced to evaluate the effects of different potential influence factors on the overall performance, including interference among smart gateways, the configuration of gateways, the phenomenon of condensation, indoor movement, and outdoor movement. It simulates the actual case that nurses take storage boxes from the medicine warehouse to patients’ rooms to dispatch drugs. Practical findings and insights have been disclosed so that they can be applied to designing and upgrading systems of similar features.