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.

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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
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article

Macro monitoring and early warning evaluation of environmental protection of industrial economy under the target of carbon neutrality

Jing Wang, Pinghe Cai, A. Chen
1 citations
International Journal of Global Warming
Environmental Sustainability and Technology
2.42
article

Macro monitoring and early warning evaluation of environmental protection of industrial economy under the target of carbon neutrality

Jing Wang, Pinghe Cai, A. Chen
article en
1 citations

Abstract

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.

International Journal of Global WarmingVol. 36(3)
Hunan University of Science and Technology (CN), Zhongnan University of Economics and Law (CN), Peking University (CN)
Openalex Percentile: Top 11%
Environmental Sustainability and Technology
2.42
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