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R&D Project of MCC Huatian’s Carbon Emission Management Platform for Full-process Steel Production Passes Scientific and Technological Achievement Evaluation
SOURCE: AUTHOR:Hao Xue DATE:24 September 2026
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On September 24, at the scientific and technological achievement evaluation meeting organized by Jiangsu Metallurgical Industry Association, the R&D project of MCC Huatian’s carbon emission management platform for full-process steel production successfully passed the evaluation. This fully demonstrates MCC Huatian’s robust strength in empowering green transformation of the steel industry through technological innovation, marking a solid step taken by the company in supporting China’s “Dual Carbon” strategy and leading the low-carbon transition of the steel sector.

The project targets the complex industrial sites of long and short steelmaking processes featuring high temperature and strong electromagnetic interference. It establishes an integrated trusted carbon data processing architecture compatible with mainstream industrial protocols. Equipped with capabilities including abnormal data identification, missing data completion and working-condition adaptive early warning, the platform addresses key industry pain points such as massive and noisy carbon data, difficulties in traceability and evidence storage, and high barriers for applying carbon expertise. It intends to deliver a scientific, precise and efficient digital carbon management solution that meets the requirements of Measurable, Reportable and Verifiable (MRV) for steel enterprises.

Adopting a modular decoupling design, the platform comes with pre-built interfaces for government and enterprise supervision connection. It supports on-premises and private cloud deployment to fit the digital construction demands of various steel manufacturers. AI simulation is applied to realize the linkage simulation of process-energy consumption-carbon emission and optimization of residual energy scheduling. It tackles challenges including distortion of field data collection, false alarms caused by fixed thresholds, and blind decision-making in carbon reduction technical renovation.

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