Research on Fault Detection of Building Electrical System

CUI Xiao-fei; LUO Lei; BAI Qing-song

doi:10.13655/j.cnki.ibci.2022.11.048

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Research on Fault Detection of Building Electrical System

更新时间：2022-11-21

- Research on Fault Detection of Building Electrical System
- Issue 11, Pages: 153-155(2022)
- 作者机构：
  
  1.中国建筑第二工程局有限公司
- 作者简介：
- 基金信息：
- DOI：10.13655/j.cnki.ibci.2022.11.048
  CLC：
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CUI Xiao-fei, LUO Lei, BAI Qing-song. Research on Fault Detection of Building Electrical System. [J]. (11):153-155(2022)
DOI：

CUI Xiao-fei, LUO Lei, BAI Qing-song. Research on Fault Detection of Building Electrical System. [J]. (11):153-155(2022) DOI： 10.13655/j.cnki.ibci.2022.11.048.

摘要

文章从建筑电气系统故障检测方法进行分析，首先介绍了故障信号检测、解析模型和基于知识的检测方法，然后对建筑电气系统采用智能技术检测方法进行研究，最后分析了建筑电气系统未来发展未解决的问题及发展前景，以期为后续相关工程提供参考。

Abstract

This paper analyzes the fault detection method of building electrical system, first introduces the fault signal detection, analysis model and knowledge-based detection method, and then studies the intelligent technology detection method of building electrical system, and finally analyzes the unsolved problems and development prospects of the future development of building electrical system, in order to provide reference for subsequent related projects.

关键词

建筑电气系统人工智能解析模型

Keywords

building electrical systemartificial intelligenceanalytical model

references

钱文博，熊建斌，岑健，王颀，余得正，吴润杰.建筑电气系统故障诊断综述[J].计算机工程与应用，2021，57（16）：27-39.

夏语妡.智能化建筑电气施工技术应用研究[J].智能城市，2020，6（23）：43-44.

岳磊.智能化建筑电气节能工程设计研究[J].住宅与房地产，2020（33）：75+82.

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People's Public Security University of China

Shandong Instite of Information Technology Industry Development

China Railway 16th Bureau Group 1rd Corporation Limited

The XJTLU University Research Centre for Urban and Environmental Studies (UES)

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