A Survey of Data-Driven Soft Sensing in Ironmaking System: Research Status and Opportunities Article Swipe
Yan Feng
,
Liyuan Kong
,
Yanrui Li
,
Hanwen Zhang
,
Chunjie Yang
,
Li Chai
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1021/acsomega.4c01254
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1021/acsomega.4c01254
Data-driven soft sensing modeling is becoming a powerful tool in the ironmaking process due to the rapid development of machine learning and data mining. Although various soft sensing techniques have been successfully used in both the sintering process and blast furnace, they have not been comprehensively reviewed. In this work, we provide an overview of recent advances on soft sensing in the ironmaking process, with a special focus on data-driven techniques. First, we present a general soft sensing development framework of the ironmaking process based on the mechanism analysis and process characteristics. Second, we provide a detailed taxonomy of current soft sensing methods categorized by their predictive tasks (i.e., quality indicators prediction, state parameters prediction, etc.). Finally, we outline several insightful and promising directions, such as self-supervised learning and digital twins in the ironmaking process, for future research.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1021/acsomega.4c01254
- https://pubs.acs.org/doi/pdf/10.1021/acsomega.4c01254
- OA Status
- gold
- Cited By
- 11
- References
- 112
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4399392135
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4399392135Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1021/acsomega.4c01254Digital Object Identifier
- Title
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A Survey of Data-Driven Soft Sensing in Ironmaking System: Research Status and OpportunitiesWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
-
2024-06-06Full publication date if available
- Authors
-
Yan Feng, Liyuan Kong, Yanrui Li, Hanwen Zhang, Chunjie Yang, Li ChaiList of authors in order
- Landing page
-
https://doi.org/10.1021/acsomega.4c01254Publisher landing page
- PDF URL
-
https://pubs.acs.org/doi/pdf/10.1021/acsomega.4c01254Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://pubs.acs.org/doi/pdf/10.1021/acsomega.4c01254Direct OA link when available
- Concepts
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Computer science, Process (computing), Process state, Soft sensor, Process modeling, Machine learning, Data science, Data mining, Artificial intelligence, Work in process, Engineering, Operations management, Operating systemTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
11Total citation count in OpenAlex
- Citations by year (recent)
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2025: 8, 2024: 3Per-year citation counts (last 5 years)
- References (count)
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112Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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