Abstract
Under the background of rapid development of internet of things, cloud computing, mobile communication and big data technology, Shanghai Maritime University cooperated with Cosco Shipping Container Lines Co., Ltd. to develop a complete set of intelligent monitoring system for reefer container. Based on the carding of various links in the process of reefer container transportation, statistical analysis was made on the historical operation data of 200 reefer containers in the past 2 years, and the power supply and power outage cycles in the actual production process were quantified Analysis. By calculating the proportion of reefer container that have lost the connection under different battery life conditions, a strategy is provided for selecting suitable battery life for the reefer container IoT monitoring device and also Prolonging the service life of the device.
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