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研究了基于公共信息模型(CIM)数据和可伸缩矢量图形(SVG)格式的配电单线图的自动构图。首先提出了符合常规配电单线图布置原则的分级支线配电数据模型和基于CIM的馈电线路分支化方法;提出了具备自动构图要素的干线图元对象和支线图元对象,构成递推的图形描述模型,通过最低级支线逐级向上进行图形参数识别,并生成其SVG子图形(叶子),并逐级组装最后生成整条馈线的SVG;逐级形成的图形独占空间,在原理上根本避免了交叉和重叠。根据数据模型自动生成电网单线图,并对图元自动增加其控制属性,提高了电网自动化的自动工程配置能力。所提出的算法已通过浙江省某县市的验证。
The automatic composition of power distribution single line diagram based on common information model (CIM) data and scalable vector graphics (SVG) format is studied. Firstly, a hierarchical branch distribution data model and a CIM-based feeder branch distribution method are proposed, which are in line with the principle of conventional single distribution line layout of power distribution lines. A trunk primitive object and a branch primitive object with an automatic composition feature are proposed to form a recursive Graphical description model, through the lowest level branch upward graphical parameter identification, and generate its SVG subgraph (leaf), and step by step assembly of the last generation of the entire feeder SVG; step by step to form the graphics exclusive space, in principle, fundamental Avoid crossing and overlapping. According to the data model, the single line graph of power grid is automatically generated, and the control attributes are automatically added to the graph elements to improve the automatic engineering configuration ability of power grid automation. The proposed algorithm has been verified by a county in Zhejiang Province.