The present application relates to the technical field of intelligent warehouse management, and more particularly to a locomotive import and export accessory intelligent anti-
rust packaging and warehousing method, comprising: configuring initial parameters and arranging a monitoring unit, establishing a
digital protection model and an anti-
rust factor concentration distribution field map; real-time collection of environmental parameters and accessory surface temperature, determination of condensation risk state based on model comparison; when the risk meets the standard, driving the
airflow adjusting device according to the concentration field map to optimize the distribution of anti-
rust factors; recording the fluctuation trajectory and intervention frequency, combining field map evolution to calculate the efficiency attenuation, generating a health degree
score and writing it into the electronic tag with the box; the warehouse
system automatically configures the storage location based on the
score, and outputs the delivery instruction from low to high according to the
score. The present application realizes high-precision risk discrimination based on
thermal inertia characteristic compensation, and solves the technical problem of hidden condensation of large locomotive accessories due to
thermal hysteresis effect when the external environment temperature and
humidity fluctuate sharply.