A green wharf construction carbon emission AI monitoring and optimization system
By constructing an AI monitoring and optimization system for carbon emissions during green wharf construction, the problem of lagging carbon emission management at construction sites has been solved, enabling real-time monitoring and prevention of carbon emission risks at construction sites, and improving the efficiency of equipment scheduling and energy utilization.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- CCCC SECOND HARBOR ENGINEERING CO LTD
- Filing Date
- 2026-06-11
- Publication Date
- 2026-07-17
AI Technical Summary
Current carbon emission management at construction sites relies on outdated statistics and lacks the ability to quantify, predict, and proactively avoid dynamic congestion and emission risks caused by the interaction of multiple devices in real time, resulting in suboptimal equipment operation decisions and serious energy waste.
A green port construction carbon emission AI monitoring and optimization system was built, including an environmental and cellular modeling module, a carbon potential field dynamic evolution module, a cellular adaptive decision-making module, and a visualization module. Through real-time monitoring and dynamic carbon potential field analysis, high emission risks were identified, the optimal route was planned, and congestion hotspots were avoided.
It enables real-time, comprehensive monitoring and prevention of carbon emission risks at construction sites, reduces energy consumption and equipment idling, and improves the efficiency of equipment scheduling and the foresight of carbon emission management.
Smart Images
Figure CN122414726A_ABST