Intelligent temperature control system for electric iron based on internet of things

Abstract

The present application relates to intelligent household appliance temperature control technology field, specifically for the electric iron temperature intelligent control system based on internet of things, including: through the integration of multi-source sensor data constructs initial working condition diagram, generates standardized partition characteristic vector through analysis. The vector is input into the collaborative analysis network for feature fusion and state deduction to cooperatively determine the expected temperature distribution of the bottom plate and the dynamic movement strategy. Start parallel temperature field simulation, generate multiple candidate control and movement combination schemes, use the historical scene matching engine to evaluate its adaptability and risk label, and select the final scheme through multi-objective optimization, and analyze the specific control instruction and issue it to the execution unit. The present application realizes the collaborative intelligent decision of temperature field and movement trajectory in the ironing process, and optimizes the control strategy through simulation evaluation, thereby improving the ironing quality, adaptability and safety.

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