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Research on knowledge management in coal mine construction safety field based on knowledge graph
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Na XU1, Yanxiang LIANG1, **, Liang WANG2, Lili ZHAO3, Xueqing ZHOU1, Bo ZHANG4
China Safety Science Journal | 2024, 34(5) : 28 - 35
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China Safety Science Journal | 2024, 34(5): 28-35
• Safety social science and safety management •
Research on knowledge management in coal mine construction safety field based on knowledge graph
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Na XU1, Yanxiang LIANG1, **, Liang WANG2, Lili ZHAO3, Xueqing ZHOU1, Bo ZHANG4
Affiliations
  • 1 School of Mechanics and Civil Engineering，China University of Mining and Technology，Xuzhou Jiangsu 221116，China
  • 2 School of Safety Engineering，China University of Mining and Technology，Xuzhou Jiangsu 221116，China
  • 3 Shanghai Investigation，Design & Research Institute Co.，Ltd.，Shanghai 200434，China
  • 4 School of Computer Science and Technology，China University of Mining and Technology，Xuzhou Jiangsu 221116，China
Published: 2024-05-28 doi: 10.16265/j.cnki.issn1003-3033.2024.05.0835
Outline
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In order to solve the knowledge redundancy caused by data accumulation during coal mine construction，some researches were conducted about domain knowledge management based on KG in this paper. The systematic analysis of the field of standard specification text was conducted using the safety management system structure and security risk management. 12 types of entities and 10 types of relations in the field of coal mine construction safety management were defined，and the knowledge structure model was also improved. 43 standard specifications were selected as data sources for text entity and relationship recognition by rules，dictionaries and deep learning methods. For different entity types，the framework of domain knowledge integrated approaches was proposed，and two models of bidirectional long-short-term memory(BiLSTM) and conditional random field(CRF) and bidirectional encoder representations from transformers(BERT)-BiLSTM-CRF were also compared. The accuracy，recall rate and F1 value of the BERT-BiLSTM-CRF model are more than 7% higher than that of the BiLSTM-CRF model，which verifies the superiority of the selected model. Through knowledge extraction，knowledge storage and visualization，the entities contained in different types of entities in the field of coal mine construction safety and the relationship between different entities were investigated.

knowledge graph(KG)  /  coal mine construction  /  safety field  /  safety management  /  knowledge structure  /  entity types
Na XU, Yanxiang LIANG, Liang WANG, Lili ZHAO, Xueqing ZHOU, Bo ZHANG. Research on knowledge management in coal mine construction safety field based on knowledge graph[J]. China Safety Science Journal(CSSJ), 2024 , 34 (5) : 28 -35 . DOI: 10.16265/j.cnki.issn1003-3033.2024.05.0835
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Year 2024 volume 34 Issue 5
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Article Info
doi: 10.16265/j.cnki.issn1003-3033.2024.05.0835
  • Receive Date：2023-11-21
  • Online Date：2025-07-14
  • Published：2024-05-28
Article Data
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History
  • Received：2023-11-21
  • Revised：2024-02-22
Funding
Affiliations
    1 School of Mechanics and Civil Engineering，China University of Mining and Technology，Xuzhou Jiangsu 221116，China
    2 School of Safety Engineering，China University of Mining and Technology，Xuzhou Jiangsu 221116，China
    3 Shanghai Investigation，Design & Research Institute Co.，Ltd.，Shanghai 200434，China
    4 School of Computer Science and Technology，China University of Mining and Technology，Xuzhou Jiangsu 221116，China
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表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
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
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