收藏切换
Intelligent analysis of building fire accidents based on knowledge graph
收藏切换
PDF
Hui XU1, 2, Mei JIANG3, Hong XUE4, Qilin ZHOU5
China Safety Science Journal | 2024, 34(12) : 94 - 99
Less
收藏切换
China Safety Science Journal | 2024, 34(12): 94-99
Safety engineering technology
Intelligent analysis of building fire accidents based on knowledge graph
Full
Hui XU1, 2, Mei JIANG3, Hong XUE4, Qilin ZHOU5
Affiliations
  • 1 College of Economics and Management,Chongqing University of Posts and Telecommunications,Chongqing 400065,China
  • 2 Key Laboratory of Big Data Intelligent Computing,Chongqing University of Posts and Telecommunications,Chongqing 400065,China
  • 3 College of Science,Chongqing University of Posts and Telecommunications,Chongqing 400065,China
  • 4 School of Management,Shandong University,Jinan Shandong 250100,China
  • 5 Chongqing Major Projects Service Centre,Chongqing Regional Cooperation Service Centre,Chongqing 401120,China
Published: 2024-12-28 doi: 10.16265/j.cnki.issn1003-3033.2024.12.0688
Outline
收藏切换

To provide intelligent and systematic decision support for building safety management,building fire accidents data was collected and summarized. The knowledge graph of building fire accidents was developed to construct a knowledge graph database. Based on the dimensions of time,space,theme,and important entities,the implementation process of the intelligent question-answering system was innovatively presented. Moreover,the intelligent analysis of building fire risk was performed. The results showed that daytime and summer were high-risk periods for building fires. The frequency of building fire accidents in East China was significantly higher than that in other regions,and the fire risk of building fires was higher in electrical and warehouse areas. Reinforced concrete frame structures and factory buildings were more prone to building fires. Most ignition sources were combustible solids,and the main cause of fire accidents was illegal construction behavior.

knowledge graph  /  building fire accident  /  intelligent analysis  /  safety management  /  graph database
Hui XU, Mei JIANG, Hong XUE, Qilin ZHOU. Intelligent analysis of building fire accidents based on knowledge graph[J]. China Safety Science Journal, 2024 , 34 (12) : 94 -99 . DOI: 10.16265/j.cnki.issn1003-3033.2024.12.0688
Year 2024 volume 34 Issue 12
PDF
340
143
Cite this Article
BibTeX
Article Info
doi: 10.16265/j.cnki.issn1003-3033.2024.12.0688
  • Receive Date:2024-09-05
  • Online Date:2025-07-09
  • Published:2024-12-28
Article Data
Affiliations
History
  • Received:2024-09-05
  • Revised:2024-11-07
Funding
Affiliations
    1 College of Economics and Management,Chongqing University of Posts and Telecommunications,Chongqing 400065,China
    2 Key Laboratory of Big Data Intelligent Computing,Chongqing University of Posts and Telecommunications,Chongqing 400065,China
    3 College of Science,Chongqing University of Posts and Telecommunications,Chongqing 400065,China
    4 School of Management,Shandong University,Jinan Shandong 250100,China
    5 Chongqing Major Projects Service Centre,Chongqing Regional Cooperation Service Centre,Chongqing 401120,China
References
Share
https://castjournals.cast.org.cn/joweb/zgaqkxxb/EN/10.16265/j.cnki.issn1003-3033.2024.12.0688
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT