Macro monitoring and early warning evaluation of environmental protection of industrial economy under the target of carbon neutrality
The article proposes the digitised carbon neutrality blockchain technology (DCN-BT) system, which combines blockchain and AI-driven sensor data to monitor industrial emissions in real-time. DCN-BT makes data more transparent, improves early warning accuracy to 97.43%, reduces industrial carbon intensity by 50%, and achieves 5% annual energy saving. DCN-BT creates a scalable, data-driven solution to balance economic growth with environmental sustainability by fusing multi-sensor data with blockchain validation. This proposed system helps governments and industries achieve carbon neutrality utilising advanced digital technologies that ensure efficient carbon tracking, predictive analytics, and better decision-making.
Authors
- Jing Wang (ORCID: https://orcid.org/0000-0002-4680-8780)
- Pinghe Cai (ORCID: https://orcid.org/0000-0002-2207-8429)
- A. Chen
Institutions
- Hunan University of Science and Technology (CN)
- Zhongnan University of Economics and Law (CN)
- Peking University (CN)
Publication Details
- Journal
- International Journal of Global Warming
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1504/ijgw.2025.146658
- Citations
- 1
- Primary Topic
- Environmental Sustainability and Technology
- Type
- article
- Field-Weighted Citation Impact
- 2.42