Research on the construction technology of three-dimensional digital model library in novel power system based on power grid information model data
|更新时间:2026-04-19
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Research on the construction technology of three-dimensional digital model library in novel power system based on power grid information model data
Vol. 63, Issue 4, (2026)
作者机构:
国网经济技术研究院有限公司,北京,102209
作者简介:
基金信息:
DOI:
CLC:
Published:2026
稿件说明:
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SUN Xiaohu, ZHANG Su, ZHANG Yaping. Research on the construction technology of three-dimensional digital model library in novel power system based on power grid information model data[J]. 2026, 63(4).
DOI:
SUN Xiaohu, ZHANG Su, ZHANG Yaping. Research on the construction technology of three-dimensional digital model library in novel power system based on power grid information model data[J]. 2026, 63(4).DOI:
Research on the construction technology of three-dimensional digital model library in novel power system based on power grid information model data
In response to the problems of incomplete data parsing
parsing errors
and low universality of intermediate data structures in parsing methods
this paper proposes a research on the construction technology of three-dimensional digital model library in novel power system based on power grid information model data. Firstly
the data parsing and modeling of the power grid information model are proposed
which can be divided into basic graphical element parsing and individual model parsing. The model equipment is assembled through Boolean operations of graphical elements. Aiming at the multi-source heterogeneous data of the power grid information model
the E3M storage format of the power grid information model is proposed and designed
and storage schemes are designed for different scenarios; the data model assembly steps are proposed based on the design of the power grid information model. Finally
files are randomly selected from the State Grid digital management application system for verification of data format and content correctness
integrity checks
and other information. The experimental results show that the designed system can achieve a file information accuracy rate of over 99.6%
which is 5.7% higher than existing detection methods
achieving standardized model data storage management.