Application of Intelligent Electrical Technology in Cold Chain Logistics Storage System

This project intends to use 6LoWPAN technology to display the geographical location, temperature, humidity and other information of each cold chain storage node in real time. In this way, the electronic temperature and humidity of the cold chain library can be intelligently controlled. MSP430 is used as a microprocessor, and temperature and humidity sensors SHT11 and nRF24L01 are used as external devices to realize data detection and transmission. The cold chain logistics warehousing operation flow model combined with UML and multicolor set was constructed, and the model structure and time accessibility were analyzed. The expected execution time of the job flow model before and after optimization is compared. The effectiveness of the model optimization is verified.