Overview of the plan

This solution integrates IoT monitoring, blockchain certification, and AI algorithms to build a closed-loop carbon emission lifecycle management system. By collecting real-time energy consumption and process data, dynamically calculating carbon footprint and generating visual reports, it supports enterprises in accurately formulating emission reduction strategies. Combining policy requirements with industry standards, built-in automated verification engine to ensure data compliance; Integrate with the carbon trading market, optimize quota management and asset development. Assist enterprises in achieving digitalization of their carbon footprint, intelligent management processes, and trustworthy verification and certification, and promote efficient implementation of the dual carbon goals.

Scheme composition

Program features

The characteristic lies in the "three end collaboration+dual chain fusion" architecture: front-end IoT devices dynamically perceive emission sources, blockchain real-time certification data chain, AI algorithm driven decision chain, forming a "collection storage calculation management" closed loop. Support intelligent verification of multi-source heterogeneous data, dynamically generate carbon footprint heat maps, and provide emission reduction path optimization based on industry benchmarks. The built-in policy rule engine automatically matches regional carbon quotas, connects with trading systems to achieve assetization conversion, and helps enterprises shift from passive compliance to active carbon asset management, combining technological foresight and feasibility for implementation.