基于区块链的建设项目碳排放跟踪评价方法及系统
By using a blockchain-based drone sensor system and event-driven mechanism, the problems of low spatiotemporal resolution and insufficient coverage in long-term, large-scale carbon emission monitoring have been solved, achieving efficient and accurate carbon emission tracking and evaluation.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- UNITED TAI ZE ENVIRONMENTAL TECH DEV CO LTD
- Filing Date
- 2026-03-31
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies cannot achieve high spatiotemporal resolution, flexible scalability, and reliable traceability in long-term, large-scale carbon emission monitoring. In particular, in vegetation restoration and ecological carbon sink scenarios, fixed monitoring equipment and single remote sensing technologies suffer from insufficient spatial coverage and low temporal resolution.
A blockchain-based carbon emission tracking and evaluation method is adopted. A drone equipped with multiple sensors performs a full-area scan, generates a vector map and divides the area into grid regions, identifies the level of carbon emission activity, sets monitoring points, executes an event-driven relay mechanism to continuously collect data, and constructs a GIS heat map for evaluation through blockchain storage and integration.
It enables dynamic monitoring of carbon emission activities, ensures that all grid areas are covered during the assessment period, improves the accuracy and reliability of carbon emission assessment, and supports diverse carbon emission data tracking and assessment.
Smart Images
Figure CN121936737B_ABST