A building energy consumption intelligent monitoring and regulation system based on big data analysis
By using multi-temporal and spatial-level energy consumption modeling, the problem of insufficient correlation between spatial hierarchy and temporal scale in the building energy consumption monitoring and management system is solved, realizing real-time adaptation and optimization of building energy consumption, and improving the real-time performance and overall optimization effect of energy consumption management.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- ZHEJIANG UNIV
- Filing Date
- 2026-03-25
- Publication Date
- 2026-07-17
AI Technical Summary
Existing building energy consumption monitoring and management systems suffer from unclear spatial hierarchy and insufficient correlation across multiple time scales in scenarios with dynamic changes in multi-source energy consumption data. This leads to a fragmentation of energy consumption analysis and control, making it difficult to achieve real-time adaptation and optimization.
By adopting multi-temporal and spatial level energy consumption modeling, and through multi-source energy consumption data collection, normalization processing, multi-timescale analysis, and multi-spatial level correlation, an energy consumption model is constructed to achieve real-time adaptive optimization of building energy consumption.
It enhances the real-time performance, adaptability, and overall optimization capabilities of building energy management, overcomes the problem of disconnect between analysis and control in traditional technologies, and achieves close integration of energy consumption monitoring, assessment, location, and regulation.
Smart Images
Figure CN122411099A_ABST