A digital twin-based intelligent building energy conservation statistical analysis system

Abstract

The present invention relates to the technical field of building energy conservation management, and discloses a digital twin - based intelligent building energy conservation statistical analysis system, the system comprises: a data acquisition module, which collects multi - source heterogeneous time - series data; a digital twin module, which obtains a digital twin model according to a building information model and multi - source heterogeneous time - series data; an energy conservation analysis module, which obtains energy efficiency deterioration diagnosis results and energy efficiency deterioration positioning information based on multi - source heterogeneous time - series data and dynamic energy consumption benchmarks of buildings to be analyzed obtained according to the digital twin model; a strategy generation module, which obtains an optimal energy conservation strategy through interactive exploration with the environment according to the digital twin model; a statistical analysis module, which obtains an energy conservation statistical analysis report according to energy efficiency deterioration diagnosis results, energy efficiency deterioration positioning information, energy conservation simulation prediction results generated by a time - series prediction model and implemented energy conservation benefits after the implementation of the optimal energy conservation strategy. The system of the present application improves the accuracy of energy consumption deterioration diagnosis and positioning of intelligent buildings.

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