Journal of Jilin University(Engineering and Technology Edition) ›› 2024, Vol. 54 ›› Issue (3): 807-814.doi: 10.13229/j.cnki.jdxbgxb.20230781

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Quality inspection method of electric power engineering building information model based on knowledge graph

Wen-ming JIANG1(),Li-zhong QI2,Su ZHANG2(),Jing-guo RONG2,Hong-bo WU2,Chao ZUO1,Xiao-long ZHANG1   

  1. 1.Beijing Glory PKPM Technology Co. ，Ltd. ，China Academy of Building Research，Beijing 100013，China
    2.State Grid Economic and Technological Research Institute Co. ，Ltd. ，Beijing 102209，China
  • Received:2023-07-25 Online:2024-03-01 Published:2024-04-18
  • Contact: Su ZHANG E-mail:jiangwenming@cabrtech.com;zhangsu615@163.com

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Abstract:

Using knowledge graph technology to improve the quality review method of building information model， the BIM model of power grid engineering was selected as the research object， and a BIM model inspection system based on knowledge graph was developed to verify whether it meets the relevant specifications and standards of power grid engineering. By using the BIM model of a certain electrical engineering project as a case study， an inspection report was generated， and the results verified the feasibility and practicality of this method. This technology provides a new direction for the deep integration of architectural design and information technology.

Key words: project management, knowledge graph, electric power engineering, building information model （BIM）, inspection method

CLC Number: 

  • TP311

Fig.1

Construction process of knowledge map"

Fig.2

Construction process of power grid engineering knowledge map"

Fig.3

Knowledge map of electrical engineering specification"

Fig.4

Division of research organization"

Fig.5

Quality inspection process of BIM model"

Fig.6

Function button setting"

Fig.7

Equipment attribute information"

Fig.8

Equipment attribute information"

Fig.9

GIM file verification interface"

Fig.10

Test results dialog box"

1 蒋玮, 周颖, 陈舒淇, 等. 电网基建工程数据挖掘及知识图谱构建技术研究[J]. 电力信息与通信技术, 2021, 19(2): 15-22.
Jiang Wei, Zhou Ying, Chen Shu-qi, et al. Research on data mining and knowledge map construction technology of power grid infrastructure projects[J]. Electric Power Information and Communication Technology, 2021, 19(2): 15-22.
2 王渊, 彭晨辉, 王志强, 等. 知识图谱在电网全业务统一数据中心的应用[J]. 计算机工程与应用, 2019, 55(15): 104-109.
Wang Yuan, Peng Chen-hui, Wang Zhi-qiang, et al. Application of knowledge map in power grid full-service unified data center[J]. Computer Engineering and Application, 2019, 55(15): 104-109.
3 沈伟豪, 钟燕飞, 王俊珏, 等. 多模态数据的洪涝灾害知识图谱构建与应用[J]. 武汉大学学报: 信息科学版, 2023, 48(12): 2009-2018.
Shen Wei-hao, Zhong Yan-fei, Wang Jun-jue, et al. Construction and application of knowledge map of flood disaster based on multimodal data[J]. Journal of Wuhan University (Information Science Edition), 2023, 48(12): 2009-2018.
4 周义棋, 刘畅, 龙增, 等. 电网应急预案知识图谱构建方法与应用[J]. 中国安全生产科学技术, 2023, 19(1): 5-13.
Zhou Yi-qi, Liu Chang, Long Zeng, et al. Construction method and application of power grid emergency plan knowledge map[J]. China Safety Production Science and Technology, 2023, 19(1): 5-13.
5 Zhang S J, Zheng G Q, Liu L, et al. A machine learning based knowledge graph framework for heterogeneous power grid systems[C]∥IEEE International Conference on Consumer Electronics and Computer Engineering (ICCECE), Guangzhou, China, 2021: 119-123.
6 Yin T, Lu N. Knowledge graph model of power grid for human-machine mutual understanding[C]∥Chinese Automation Congress (CAC), Shanghai, China, 2021: 6165-6169.
7 闪鑫, 陆晓, 翟明玉, 等. 人工智能应用于电网调控的关键技术分析[J]. 电力系统自动化, 2019, 43(1): 49-57.
Shan Xin, Lu Xiao, Zhai Ming-yu, et al. Analysis of key technologies of artificial intelligence applied to power grid regulation[J]. Power System Automation, 2019, 43(1): 49-57.
8 周逸苇, 王广斌, 曹冬平. 基于BIM的自动合规性审查研究综述[J/OL]. [2024-02-19].
9 吴松飞, 邓逸川, 申琪玉, 等. BIM支持的施工安全规范合规检查研究综述[J]. 图学学报, 2018, 39(6): 1156-1164.
Wu Song-fei, Deng Yi-chuan, Shen Qi-yu, et al. BIM-supported research on compliance inspection of construction safety standards[J]. Journal of Graphics, 2018, 39(6): 1156-1164.
10 张伟胜. 集成BIM与安全规则的不安全设计因素自动识别机制研究[D]. 北京: 清华大学土木水利学院, 2015.
Zhang Wei-sheng. Research on automatic identification mechanism of unsafe design factors integrating BIM and safety rules[D]. Beijing: School of Civil Engineering, Tsinghua University, 2015.
11 Kim K, Teizer J. Automatic design and planning of scaffolding systems using building information modeling[J]. Advanced Engineering Informatics, 2014, 28(1): 66-80.
12 Martins J P, Monteiro A. LicA: a BIM based automated code-checking application for water distribution systems[J]. Automation in Construction, 2013, 29: 12-23.
13 蒲天骄, 谈元鹏, 彭国政, 等. 电力领域知识图谱的构建与应用[J]. 电网技术, 2021, 45(6): 2080-2091.
Pu Tian-jiao, Tan Yuan-peng, Peng Guo-zheng, et al. Construction and application of knowledge map in power field[J]. Power Grid Technology, 2021, 45(6): 2080-2091.
14 排日旦·阿布都热依木, 吐尔地·托合提, 艾斯卡尔·艾木都拉. 基于深度学习的实体关系抽取方法研究[J]. 计算机工程与科学, 2023, 45(5): 895-902.
Pairidan Abdul Reyimu, Tuoheti Tuerdi, Amudula Escar. Research on entity relationship extraction method based on deep learning[J]. Computer Engineering and Science, 2023, 45(5): 895-902.
15 宋云华. 面向知识图谱扩充的非结构化文本知识抽取研究[D]. 湘潭: 湘潭大学信息工程学院, 2020.
Song Yun-hua. Research on unstructured text knowledge extraction for knowledge map expansion[D]. Xiangtan: College of Information Engineering, Xiangtan University, 2020.
16 安芃, 胡振中, 林佳瑞, 等. 知识图谱对工程安全管理的智能支持方法研究[J/OL]. [2023-07-15].
17 齐立忠, 张苏, 张亚平, 等. 基于GIM模型的输电线路通道隐患快速检测[J]. 电力建设, 2023, 44(1): 100-108.
Qi Li-zhong, Zhang Su, Zhang Ya-ping, et al. Rapid detection of hidden dangers in transmission lines based on GIM model[J]. Electric Power Construction, 2023, 44(1): 100-108.
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