The invention discloses a consumable
monitoring data analysis
system and method based on
artificial intelligence, and relates to the technical field of
data analysis, and the method comprises the steps: calling a historical taking
record of
consumables, enabling the taken
consumables to be used by each subordinate department of a service institution, and carrying out the judgment and extraction of a target
record; obtaining a reference value range of various physical characteristics of the consumable, deploying various sensors, obtaining a target value of the consumable in the aspect of each physical characteristic at each moment, and obtaining a target characteristic of the consumable; and extracting a historical date window and a target city, obtaining the feature duration of the consumable according to the
weather condition of the target city, further obtaining the early warning moment of the current
traceability code, and carrying out tagging early warning prompt on the consumable after the early warning moment. According to the method, the historical access records and various physical characteristics of the
consumables are analyzed, and the produced consumables are subjected to tagging early warning prompt, so that the
traceability codes are effectively prevented from losing timeliness, and the full-period reliability of the
traceability data of the consumables is ensured.