企业能耗数据驱动的多维度碳中和路径模拟与决策系统
By constructing a multi-dimensional energy consumption data structure unit, the carbon neutrality path is identified and dynamically adjusted, solving the lag problem in carbon neutrality path modeling in existing technologies. This enables real-time optimization of carbon emission reduction strategies and dynamic response of paths, improving the accuracy and efficiency of decision-making.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SHANGHAI ENERGY SAVING TECH SERVICE
- Filing Date
- 2026-04-02
- Publication Date
- 2026-07-17
AI Technical Summary
Existing carbon neutrality pathway modeling lacks real-time response capabilities, making it difficult to capture the dynamic impact of energy consumption data fluctuations on carbon emission trends. This leads to lags and biases in pathway schemes, affecting the implementation pace of carbon neutrality targets and the accuracy of strategic decisions.
By constructing multi-dimensional energy consumption data structure units, the system can identify the energy consumption data jump states of equipment, products, and regions, dynamically adjust the path structure, generate equipment execution instructions, and achieve dynamic response and real-time optimization of the carbon neutrality path.
It significantly improves the real-time coordination efficiency of carbon emission reduction strategies and energy consumption implementation strategies, enhances the dynamic response and path evolution capabilities of carbon neutrality pathways, and strengthens the accuracy of strategy decision-making.
Smart Images
Figure CN121961619B_ABST