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基于GIS技术的电网数据外网出图自动化识别方法

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提出了基于电网地理信息系统(GIS)技术的电网数据外网出图自动化识别方法.首先,面向外网电网图形包含丰富的文字、符号、布局等多模态数据,提出了一种多模态图形表征学习技术,以提升复杂电网图形的语义理解能力.其次,面向不同区域、不同时期的外网电网图形样式差异,提出了跨域自适应电网图形识别技术,以提高模型的泛化性与鲁棒性.最后,基于以上技术搭建了电网外网出图自动识别系统,实现外网电网图形的自动化解译,有效推动了电网GIS的快速构建与更新.
Automated Recognition Method of Power Grid Data External Diagram Based on GIS Technology
This paper proposes an automated recognition method for power grid data external diagrams based on power grid geographic information system(GIS)technology.Firstly,a multimodal graphical representation learning technique is proposed to enhance the semantic understanding of complex power grid diagrams,which contain rich multimodal data such as text,symbols,and layout.Secondly,in response to the differences in the style of external power grid diagrams across various regions and periods,a cross-domain adaptive recognition technology for power grid diagrams is proposed to improve the model's generalization and robustness.Finally,an automatic recognition system for external diagrams of the power grid is built based on the aforementioned technologies,achieving automated interpretation of external power grid diagrams,which effectively promotes the rapid construction and updating of power grid GIS.

GISsmart gridexternal diagramsautomated recognition

陈明、黄婷、陈鹏

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国网湖北省电力有限公司咸宁供电公司,湖北 咸宁 437100

地理信息系统 智能电网 外网出图 自动化识别

2024

自动化应用
重庆西南信息有限公司

自动化应用

影响因子:0.156
ISSN:1674-778X
年,卷(期):2024.65(20)