大模型技术在电力行业的应用展望

doi:10.11996/JG.j.2095-302X.2024061132

图学学报 ›› 2024, Vol. 45 ›› Issue (6): 1132-1144.DOI: 10.11996/JG.j.2095-302X.2024061132

• “大模型与图学技术及应用”专题 • 上一篇下一篇

大模型技术在电力行业的应用展望

刘冀辰¹^,²(), 李金星³, 吴佳⁴, 张威¹^,², 齐宇诺⁴, 周国亮¹^,²()

1.保定电力职业技术学院，河北保定 071051
2.国网冀北电力有限公司技能培训中心，河北保定 071051
3.国网承德供电公司，河北承德 068252
4.国网冀北电力有限公司，北京 100053

收稿日期:2024-07-31 接受日期:2024-10-21 出版日期:2024-12-31 发布日期:2024-12-24
通讯作者:周国亮(1978-)，男，教授，博士。主要研究方向为无人机智能巡检、图像检测与识别技术等。E-mail：25377468@qq.com
第一作者:刘冀辰(1988-)，男，讲师，硕士。主要研究方向为计算机视觉、人工智能大模型技术等。E-mail：moxinxue126@126.com
基金资助:
河北省高等学校科学研究项目(ZC2024176)

Prospects for the application of large models technology in the power industry

LIU Jichen¹^,²(), LI Jinxing³, WU Jia⁴, ZHANG Wei¹^,², QI Yunuo⁴, ZHOU Guoliang¹^,²()

1. Baoding Electric Vocational and Technical College, Baoding Hebei 071051, China
2. State Grid Jibei Electric Power Company Limited Skills Training Center, Baoding Hebei 071051, China
3. State Grid Chengde Power Supply Company, Chengde Hebei 068252, China
4. State Grid Jibei Electric Power Company Limited, Beijing 100053, China

Received:2024-07-31 Accepted:2024-10-21 Published:2024-12-31 Online:2024-12-24
Contact: ZHOU Guoliang (1978-), professor, Ph.D. His main research interests cover drone intelligent inspection, image detection and recognition technology, etc. E-mail：25377468@qq.com
First author：LIU Jichen (1988-), lecturer, master. His main research interests cover computer vision, artificial intelligence large model technology, etc. E-mail：moxinxue126@126.com
Supported by:
Hebei Province Higher Education Institution Scientific Research Project(ZC2024176)

摘要/Abstract

摘要：

人工智能(AI)技术已广泛应用于电力行业多个专业领域，正在推动电力行业向智能化、自动化的方向发展。特别是在图学领域，AI大模型的应用已经成为研究热点，其在图像识别、模式识别以及图数据分析等方面展现出巨大潜力。应用大模型解决电力行业的图像识别、自然语言处理、业务内容分析等专业问题，可大幅提升电力行业各业务领域的效率和准确性。以大模型在电力调度、输电、营销等场景的应用展望为主线，首先介绍了人工智能大模型技术的研究背景、发展历程以及技术特征。其次，综述了AI技术在电力调度故障处置、输电无人机巡检、电力营销客户服务等专业的应用现状，分析了目前电力行业研究应用大模型存在的问题与挑战。最后，梳理了大模型技术在电力行业的发展趋势和技术应用分析，并对应用场景进行了展望。

关键词: 大模型, 计算机视觉, 电网故障处置, 输电巡检, 客户服务

Abstract:

Artificial intelligence (AI) technologies have been widely applied across various specialized domains within the electric power industry, driving it towards the development of intelligent and automated systems. Particularly within the field of graph studies, the utilization of AI large models has become a prominent research focus, demonstrating substantial potential in image recognition, pattern identification, and the analysis of graph data. The application of AI large models addresses specialized issues in the power industry, such as image recognition, natural language processing, and business content analysis. This has significantly enhanced the efficiency and accuracy across various operational domains in the power sector. Focusing on the application prospects of AI large models in electric power dispatching, transmission, and marketing, this study first introduced the research background, development process, and technical characteristics of AI large models. Then, it reviewed the current application status of AI technology in electric power dispatching fault handling, transmission drone inspection, and electric power marketing customer service. It also analyzed the existing problems and challenges in applying AI large models in the electric power industry. Finally, the development trends and technical application analysis of large model technology in the power industry were reviewed, along with a prospect of future application scenarios.

Key words: large models, computer vision, power grid fault handling, power transmission inspection, customer service

中图分类号:

刘冀辰, 李金星, 吴佳, 张威, 齐宇诺, 周国亮. 大模型技术在电力行业的应用展望[J]. 图学学报, 2024, 45(6): 1132-1144.

LIU Jichen, LI Jinxing, WU Jia, ZHANG Wei, QI Yunuo, ZHOU Guoliang. Prospects for the application of large models technology in the power industry[J]. Journal of Graphics, 2024, 45(6): 1132-1144.

图/表 6

图1 Transformer架构图

Fig. 1 The Transformer-model architecture

图2 技术需求对比

Fig. 2 Technical requirements comparison

图3 知识图谱技术在电网故障处置应用框架图

Fig. 3 Knowledge graph technology application framework for power grid fault handling

图4 输电无人机巡检AI技术应用现状

Fig. 4 The application status of AI technology in transmission line inspection using drones

图5 供电服务业务场景AI技术应用现状

Fig. 5 Current status of AI technology application in electric power supply service scenarios

图6 供电营业厅智能化服务场景示例

Fig. 6 Exemplars for intelligent service scenarios in electric power supply business halls

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大模型技术在电力行业的应用展望

Prospects for the application of large models technology in the power industry

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