一种建筑节能降碳制冷控制方法及系统
By using cameras and carbon dioxide sensors to perceive human body heat load in real time, combined with dynamic metabolic heat prediction models and multi-level cold source scheduling, the problem of insufficient dynamic perception of human body heat and neglect of electricity carbon intensity in building cooling systems has been solved, achieving refined, energy-saving and carbon-reducing cooling control.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- FUJIAN JIANYAN INVESTIGATION DESIGNING INST
- Filing Date
- 2025-07-02
- Publication Date
- 2026-07-17
AI Technical Summary
Existing building cooling systems cannot detect real-time changes in human metabolic heat dynamics, resulting in insufficient or excessive cooling, uneven heating and cooling, ignoring fluctuations in electricity carbon intensity, and difficulty in responding to sudden crowd events, leading to energy waste and decreased comfort.
By using cameras to identify personnel information and carbon dioxide sensors to collect data, combined with dynamic metabolic heat prediction models and multi-level cold source scheduling, the air conditioning operating parameters are adjusted in real time, and cooling control is optimized by combining grid carbon intensity data.
It has improved the precision, accuracy, and energy efficiency of cooling control, reduced energy consumption and carbon emissions, and improved comfort and response speed.
Smart Images
Figure CN120627324B_ABST