A Knowledge Graph System for the Maintenance of Coal Mine Equipment

With the rapid development of coal mine intelligent technology, the complexity of coal mine equipment has been continuously improved and the equipment maintenance resources have been continuously enriched. The traditional coal mine equipment maintenance knowledge management technology can no longer...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Guozhen Zhang, Xiangang Cao, Mengyuan Zhang
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Engineering (General). Civil engineering (General) TA1-2040 Mathematics QA1-939
Acceso en línea:	https://doaj.org/article/49a14b61f194492e885b0a569301d2b2
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:49a14b61f194492e885b0a569301d2b2
record_format	dspace
spelling	oai:doaj.org-article:49a14b61f194492e885b0a569301d2b22021-11-22T01:10:48ZA Knowledge Graph System for the Maintenance of Coal Mine Equipment1563-514710.1155/2021/2866751https://doaj.org/article/49a14b61f194492e885b0a569301d2b22021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/2866751https://doaj.org/toc/1563-5147With the rapid development of coal mine intelligent technology, the complexity of coal mine equipment has been continuously improved and the equipment maintenance resources have been continuously enriched. The traditional coal mine equipment maintenance knowledge management technology can no longer meet the current needs of equipment maintenance knowledge management, and the problems of low utilization rate, poor interoperability, and serious loss of knowledge have gradually emerged. It is urgent to study new knowledge system construction and knowledge management application technology for large-scale coal mine equipment maintenance resources. Knowledge graph is a technical method to describe the relationship between things in the objective world by using a graph model. It can effectively solve the problem of knowledge dynamic mining and management under large-scale data. Therefore, this paper focuses on the establishment of a coal mine equipment maintenance knowledge graph system by using knowledge graph technology. The main research contents are as follows: Firstly, based on the current situation that there is no unified basic knowledge system in the field of coal mine equipment maintenance, this paper establishes the coal mine equipment maintenance ontology (CMEMO) to effectively solve the problem that there are no unified representation, integration, and sharing of coal mine equipment maintenance knowledge in this field and provide support for the construction of coal mine equipment maintenance knowledge graph. Then, aiming at the problem that the traditional named-entity recognition method has a poor recognition effect and relies too much on artificial feature design, this paper proposes a named-entity recognition model for coal mine equipment maintenance based on neural network (BERT-BiLSTM-CRF) and applies the model to the coal mine equipment maintenance data set for verification. The experimental results show that, under the same data set, the entity recognition effect of this model is more leading than that of other models. Finally, through demand analysis and architecture design, combined with the constructed ontology model of coal mine equipment maintenance field, the entity identification of coal mine equipment maintenance is completed based on the BERT-BiLSTM-CRF model and the Django application framework is used to build the coal mine equipment maintenance knowledge graph system to realize the functions of each module of the knowledge graph system.Guozhen ZhangXiangang CaoMengyuan ZhangHindawi LimitedarticleEngineering (General). Civil engineering (General)TA1-2040MathematicsQA1-939ENMathematical Problems in Engineering, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Engineering (General). Civil engineering (General) TA1-2040 Mathematics QA1-939
spellingShingle	Engineering (General). Civil engineering (General) TA1-2040 Mathematics QA1-939 Guozhen Zhang Xiangang Cao Mengyuan Zhang A Knowledge Graph System for the Maintenance of Coal Mine Equipment
description	With the rapid development of coal mine intelligent technology, the complexity of coal mine equipment has been continuously improved and the equipment maintenance resources have been continuously enriched. The traditional coal mine equipment maintenance knowledge management technology can no longer meet the current needs of equipment maintenance knowledge management, and the problems of low utilization rate, poor interoperability, and serious loss of knowledge have gradually emerged. It is urgent to study new knowledge system construction and knowledge management application technology for large-scale coal mine equipment maintenance resources. Knowledge graph is a technical method to describe the relationship between things in the objective world by using a graph model. It can effectively solve the problem of knowledge dynamic mining and management under large-scale data. Therefore, this paper focuses on the establishment of a coal mine equipment maintenance knowledge graph system by using knowledge graph technology. The main research contents are as follows: Firstly, based on the current situation that there is no unified basic knowledge system in the field of coal mine equipment maintenance, this paper establishes the coal mine equipment maintenance ontology (CMEMO) to effectively solve the problem that there are no unified representation, integration, and sharing of coal mine equipment maintenance knowledge in this field and provide support for the construction of coal mine equipment maintenance knowledge graph. Then, aiming at the problem that the traditional named-entity recognition method has a poor recognition effect and relies too much on artificial feature design, this paper proposes a named-entity recognition model for coal mine equipment maintenance based on neural network (BERT-BiLSTM-CRF) and applies the model to the coal mine equipment maintenance data set for verification. The experimental results show that, under the same data set, the entity recognition effect of this model is more leading than that of other models. Finally, through demand analysis and architecture design, combined with the constructed ontology model of coal mine equipment maintenance field, the entity identification of coal mine equipment maintenance is completed based on the BERT-BiLSTM-CRF model and the Django application framework is used to build the coal mine equipment maintenance knowledge graph system to realize the functions of each module of the knowledge graph system.
format	article
author	Guozhen Zhang Xiangang Cao Mengyuan Zhang
author_facet	Guozhen Zhang Xiangang Cao Mengyuan Zhang
author_sort	Guozhen Zhang
title	A Knowledge Graph System for the Maintenance of Coal Mine Equipment
title_short	A Knowledge Graph System for the Maintenance of Coal Mine Equipment
title_full	A Knowledge Graph System for the Maintenance of Coal Mine Equipment
title_fullStr	A Knowledge Graph System for the Maintenance of Coal Mine Equipment
title_full_unstemmed	A Knowledge Graph System for the Maintenance of Coal Mine Equipment
title_sort	knowledge graph system for the maintenance of coal mine equipment
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/49a14b61f194492e885b0a569301d2b2
work_keys_str_mv	AT guozhenzhang aknowledgegraphsystemforthemaintenanceofcoalmineequipment AT xiangangcao aknowledgegraphsystemforthemaintenanceofcoalmineequipment AT mengyuanzhang aknowledgegraphsystemforthemaintenanceofcoalmineequipment AT guozhenzhang knowledgegraphsystemforthemaintenanceofcoalmineequipment AT xiangangcao knowledgegraphsystemforthemaintenanceofcoalmineequipment AT mengyuanzhang knowledgegraphsystemforthemaintenanceofcoalmineequipment
_version_	1718418336310624256

A Knowledge Graph System for the Maintenance of Coal Mine Equipment

Ejemplares similares