Tobacco warehouse motor distributed monitoring control method based on loRa transparent polling

Abstract

The application relates to the technical field of tobacco storage environment monitoring and control, in particular to a tobacco warehouse motor distributed monitoring and control method based on LoRa transparent transmission polling. The method comprises the following steps: acquiring a tobacco warehouse multi-parameter information set; performing multi-type fine classification on abnormal behaviors based on the tobacco warehouse multi-parameter information set, to generate an abnormal classification information set; performing dynamic evaluation on a distributed influence domain in combination with warehouse plan and point data correlation, to generate a distributed influence domain evaluation information set; performing regional adaptive linkage control for different risk levels based on the evaluation information set, to generate a motor monitoring and control response information set. The application can effectively solve the problems of high false alarm rate, invisible risk space propagation and control response lag in the prior art, and realizes accurate monitoring and safe closed-loop management and control of the tobacco warehouse motor.

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