Paper
20 October 2022 Research on the knowledge graph based life cycle carbon footprint labeling representation model for electromechanical products
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Proceedings Volume 12451, 5th International Conference on Computer Information Science and Application Technology (CISAT 2022); 124511O (2022) https://doi.org/10.1117/12.2656476
Event: 5th International Conference on Computer Information Science and Application Technology (CISAT 2022), 2022, Chongqing, China
Abstract
With the goal of carbon reduction and elimination in various countries, how to manage and achieve carbon footprint quantification and greenhouse gas emission accounting has become one of the key research tasks in low carbon manufacturing of electromechanical products. In order to provide users with a deeper understanding of the carbon emissions of purchased and used electromechanical products, we propose an idea of constructing a carbon footprint label (CFL) for the life cycle of electromechanical products using a hierarchical structure tree of electromechanical products. After the bibliometric analysis of the industrial-level knowledge graph research contents in the past decade, the construction method of knowledge graph in the field of electromechanical products is clarified. Based on the constructed CFL ontology model of mechanical and electrical products, a CFL representation model of electromechanical products based on knowledge graph is established. The CFL records the carbon emission data in the life cycle of mechanical and electrical products, making the CFL a new attribute of products, and providing targeted CFL representation of electromechanical products for low carbon designers.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Fei Di, Jinjun Wu, Jingying Li, and Ying Wang "Research on the knowledge graph based life cycle carbon footprint labeling representation model for electromechanical products", Proc. SPIE 12451, 5th International Conference on Computer Information Science and Application Technology (CISAT 2022), 124511O (20 October 2022); https://doi.org/10.1117/12.2656476
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KEYWORDS
Carbon

Data modeling

Electromechanical design

Manufacturing

Databases

Analytical research

Atmospheric modeling

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