The invention discloses a cold-chain logistics remote
monitoring system and method based on
the Internet of Things. The
system comprises a sensing layer, an
edge computing gateway and a cloud platform. The sensing layer is provided with a multi-dimensional sensor group which at least comprises a high-precision temperature and
humidity sensor, a
vibration sensor, an inclination sensor, a door magnetic sensor, an electronic lock and a
position tracking module and is used for collecting environment, equipment and position information in real time. And the
edge computing gateway performs format conversion, exception filtering and validity
verification on the
original data, and triggers a local response operation according to a preset rule. The preset rules comprise
data verification, sensor diagnosis, threshold linkage, data supplementary transmission and a real-
time response function. The cloud platform integrates early warning grading, closed-loop management, data storage and prediction analysis functions, and adjusts parameters or early warning risks in advance based on a modeling result. The
system realizes intelligent monitoring and quick response of the whole process of the
cold chain, and is suitable for the fields of food, biological agents, medicines and the like with strict
temperature control requirements.