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| Intelligent-Driven Green Development: A Case Study of a Steel Enterprise in Fujian |
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Received:February 25, 2025
Revised:April 09, 2025
Accepted:April 10, 2025
Published Online:August 05, 2025
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| DOI： |
| KeyWord:technological pathways of digital-intelligent integration; the iron and steel industry; green and low-carbon; fujian steel enterprise; the intelligent environmental management system |
| Author | Institution |
| JI Siyi |
China University of Mining Technology,Beijing,School of Chemical and Environmental Engineering |
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| Abstract: |
| Against the backdrop of the “dual carbon” strategy, the steel industry, as the manufacturing sector with the largest carbon emissions in China, is facing the dual challenges of high energy consumption (the comprehensive energy consumption per ton of steel is 551.36 kg of standard coal), high emissions (the carbon emission intensity is 1.6-2.0 kgCO?/kg of steel), and digital transformation. Carbon emissions from China"s steel industry account for over 15% of the country"s total. The traditional long - process steelmaking technology has structural contradictions such as low energy conversion efficiency (120% higher than that in Germany) and serious data silos. The collaborative application of industrial Internet platforms, digital twin technology, and artificial intelligence can improve the efficiency of resource allocation. This paper takes the construction of an intelligent environmental protection management system of a steel enterprise in Fujian as an empirical case to reveal the internal mechanism by which the integration of digital and intelligent technologies empowers the industry"s green transformation through three major paths: reconstructing the production factor allocation system, innovating the production process paradigm, and building an intelligent environmental protection ecosystem. At the practical level, the steel enterprise in Fujian has built an intelligent environmental protection management and control platform with six major modules, including basic information management, environmental protection process monitoring, and GIS map visualization. This platform enables the full - process collection of environmental protection data and dynamic early warning, significantly shortens the response time for abnormal situation handling, reduces the environmental tax accounting cycle from 20 days to 7 days, saves 50% of labor costs, and can reduce the direct economic losses from environmental protection accidents by 20 million yuan annually. The research further proposes a three - dimensional development framework of “technology - application - institution”. At the technical level, it is necessary to break through key technologies such as industrial Internet of Things sensors and carbon footprint tracking blockchain and establish a standard system for intelligent manufacturing. At the application level, demonstration projects of “zero - carbon steel mills” that combine short - process technology and hydrogen metallurgy should be promoted. At the institutional level, it is necessary to improve the carbon trading market mechanism and guide the transfer of production capacity to regions rich in clean energy. |
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