Design of Digital Integrated Intelligent Platform for Electric Power Design Based on Knowledge Graph
With the rapid development of the power industry, traditional power design methods can no longer meet the increasingly complex demands of modern power systems. This paper proposes a digital integrated intelligent platform for power design based on knowledge graphs, aimed at enhancing the efficiency and quality of power design. By integrating big data processing, artificial intelligence, blockchain, and cloud computing technologies, the platform achieves automation of design processes, standardized data management, and intelligent decision support. The multi-layer architecture of the platform supports the full lifecycle management of power design projects and significantly improves the efficiency of data processing and collaborative work. Experimental results indicate that the platform demonstrates significant advantages in enhancing design accuracy, reducing human error, and improving work efficiency, thereby facilitating the digital and intelligent transformation of power design.
Authors
- Shiyong Lu (ORCID: https://orcid.org/0000-0002-7864-1815)
- Weidong D. Zhu (ORCID: https://orcid.org/0000-0003-2707-2533)
- Shuai Huang (ORCID: https://orcid.org/0000-0001-6656-2186)
Institutions
- Zhejiang Energy Research Institute (CN)
- Zhejiang Energy Group (China) (CN)
- Guizhou Electric Power Design and Research Institute (CN)
Publication Details
- Published
- 2024-12-06
- DOI
- https://doi.org/10.1109/iaecst64597.2024.11117644
- Primary Topic
- Power Systems and Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00