The invention relates to an
electronic equipment intelligent transfer container
management system based on
the Internet of Things and Al, and the
system achieves the real-time monitoring, risk prediction and automatic adjustment in a transportation process through integrating edge calculation, a federal learning framework, a risk prediction
algorithm and a block chain evidence storage technology. The
system adopts various sensors to monitor data such as temperature and
humidity, vibration, air pressure, inclination angle and the like in the container, and carries out real-
time processing through the edge calculation unit, so that the environment in the transportation process meets equipment requirements. Meanwhile, an LSTM and a
random forest algorithm are used for predicting the equipment damage probability, and a transportation scheme is dynamically adjusted according to a
risk assessment result. In addition, the block chain technology is used for recording key events and uploading the data to an alliance chain, so that the non-tampering and
traceability of the data are ensured. The
intelligent management system provided by the invention not only improves the safety and transparency of the equipment transportation process, but also optimizes the transportation path and reduces the
energy consumption.