Intelligent control method for building energy consumption based on big data analysis

Abstract

The invention discloses an intelligent control method for building energy consumption based on big data analysis, including: constructing an initial environmental variable sequence by collecting real-time climate data and historical weather records; processing the initial environmental variable sequence to obtain a short-term future weather fluctuation trend; establishing a heat conduction simulation model based on the short-term future weather fluctuation trend, building structure parameters and material thermal conductivity data to obtain a building thermal inertia response curve; classifying the building thermal inertia response curve to obtain an interaction complexity level; matching a corresponding climate factor adaptation template based on the interaction complexity level, and optimizing the template by using a dynamic programming algorithm to obtain a preliminary control strategy scheme; integrating the short-term future weather fluctuation trend and the building thermal inertia response curve for the preliminary control strategy scheme, and obtaining an energy consumption prediction value sequence through iterative simulation operation; when the lowest point of the energy consumption prediction value sequence corresponds to an advance response period, generating a final optimized control strategy.

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