Research on coal mine safety management based on digital twin

Wang, Jiaqi; Huang, Yanli; Li, Junmeng; Zhai, Wenrui; Ouyang, Shenyang; Gao, Huadong; Liu, Yahui; Wang, Guiyuan

doi:10.1016/j.heliyon.2023.e13608

Cited by 9 publications

(4 citation statements)

References 35 publications

(36 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A Case Study [6], the authors present a case study highlighting the application of digital twins to improve safety in the mining industry. The study focuses on a coal mine and demonstrates how digital twins can effectively identify and mitigate hazards, thereby enhancing safety measures.…”

Section: Literature Reviewmentioning

confidence: 99%

Using a Virtual Twin of a Building to Ensure Security in Educational Institutions

Absadyk,

Absattar

2023

sjaitu

View full text Add to dashboard Cite

This research paper delves into the exploration of computer vision technology and digital twins as a means to enhance security measures in educational institutions. The study primarily focuses on the creation of a virtual replica of the first floor of a school and the integration of a person detection algorithm with the existing surveillance cameras. By leverag- ing the capabilities of the digital twin and real-time monitoring, comprehensive surveillance of the premises becomes feasible, resulting in simplified security operations. The paper sheds light on the significant potential of training neural networks for specific security tasks, such as the identification of weapons or the detection of anomalies in human behavior. These trained neural networks can be seamlessly integrated into the digital twin, thus ensuring public safety within the educational environment. The findings of this study provide substantial evidence for the effectiveness of computer vision technology and digital twins in bolstering security measures. The ability to create a virtual representation of the school’s first floor enables com- prehensive monitoring and surveillance, aiding in the prevention and prompt response to se- curity incidents. The integration of person detection algorithms further enhances the system’s capabilities by automatically identifying and tracking individuals within the premises. Addi- tionally, the deployment of neural networks for specialized security tasks adds an extra layer of protection, enabling the identification of potential threats and the detection of abnormal behavior patterns. By employing computer vision technology and digital twins, educational institutions can establish an advanced security infrastructure that optimizes monitoring, en- hances situational awareness, and ensures a safer environment for students, staff, and visitors. The research presented in this paper highlights the tremendous potential and practical impli- cations of these technologies in the realm of educational security.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Using a Virtual Twin of a Building to Ensure Security in Educational Institutions

Absadyk,

Absattar

2023

sjaitu

View full text Add to dashboard Cite

show abstract

“…One of the most advanced IT systems designed to solve these difficulties is the concept of a digital twin [3,4]. Research and work on its implementation are carried out in many fields, including robotics and manufacturing [5,6], energy [7], mining [8,9], agriculture [10], logistics, specifically road [11], rail [12], watercraft [13], and aircraft transportation [14,15], or in medicine [16]. The intensive development of this technology also applies to the construction industry, including civil and bridge engineering [17][18][19].…”

Section: Introductionmentioning

confidence: 99%

The Concept of Creating Digital Twins of Bridges Using Load Tests

Jasiński,

Łaziński,

Piotrowski

2023

Sensors

View full text Add to dashboard Cite

The paper sheds light on the process of creating and validating the digital twin of bridges, emphasizing the crucial role of load testing, BIM models, and FEM models. At first, the paper presents a comprehensive definition of the digital twin concept, outlining its core principles and features. Then, the framework for implementing the digital twin concept in bridge facilities is discussed, highlighting its potential applications and benefits. One of the crucial components highlighted is the role of load testing in the validation and updating of the FEM model for further use in the digital twin framework. Load testing is emphasized as a key step in ensuring the accuracy and reliability of the digital twin, as it allows the validation and refinement of its models. To illustrate the practical application and issues during tuning and validating the FEM model, the paper provides an example of a real bridge. It shows how a BIM model is utilized to generate a computational FEM model. The results of the load tests carried out on the bridge are discussed, demonstrating the importance of the data obtained from these tests in calibrating the FEM model, which forms a critical part of the digital twin framework.

show abstract

“…Coal, as the largest fossil fuel globally, serves as the primary source of electricity in most countries and plays a crucial role in global energy production [1]. However, frequent coal mine accidents and safety incidents have imposed substantial societal losses due to factors such as the complex occurrences of certain coal seams, mining challenges, insufficient safety awareness among coal mine employees, and illegal mining activities [2,3]. With the advancement of mechanization and intelligence in coal mines, significant improvements have been made in addressing numerous safety issues at the engineering level.…”

Section: Introductionmentioning

confidence: 99%

“…Yang et al (2022) [4] examined the efficiency of coal mine safety management by employing a sustainable operation index system and environmental risk model. Wang et al (2023) [3] achieved intelligent and efficient management of coal mine safety accidents through the study of digital twins on coal mine safety management, establishing a scientific and rational coal mine safety cooperative management early warning index system. Ma et al (2016) [5] established a cooperative management early warning index system for effectively identifying and controlling hazard sources in coal mines using a three-stage semi- quantitative method.…”

Section: Introductionmentioning

confidence: 99%

Knowledge graph construction and visualization analysis of coal mine accident safety management research based on CiteSpace and VOSviewer

2023

AETR

View full text Add to dashboard Cite

Although the coal mining industry has implemented mechanization and automation, frequent coal mine accidents still occur, making coal mine safety a primary concern. To gain a comprehensive understanding of global progress in preventing coal mine accidents and managing safety, we utilized the Web of Science database (WOS) as our sample source. With the support of CiteSpace and VOSviewer software, we constructed a knowledge graph depicting publication numbers, research institutions, and keyword clustering to visually analyze coal mine accident prevention and safety management. Our research reveals that this field has undergone three stages of development: initial growth, steady progress, and rapid advancement. Particularly noteworthy is the current golden age of rapid development from 2018 to 2023 which has garnered significant attention from researchers. In terms of author collaboration networks, notable contributors with high publication rates and citation counts include Wu Qiang, Liu Quanlong, et al. Regarding institutional cooperation networks, major research institutions such as China University of Mining & Technology, Shandong University of Science & Technology, and Anhui University are actively engaged in important scientific research related to coal mining. Through keyword clustering analysis based on relevant literature review, it is evident that research on coal mine safety management primarily focuses on high-frequency keywords such as "coal and gas outburst","risk assessment" and "coal miners" By extracting the top nine emergent keywords with high-intensity levels and arranging them chronologically according to their emergence year, the evolution pattern over time was obtained for emergent words. Furthermore, it was observed that emerging keywords like "China", "subsidence" and "workers" have also gained increasing attention during this period.

show abstract

Research on coal mine safety management based on digital twin

Cited by 9 publications

References 35 publications

Using a Virtual Twin of a Building to Ensure Security in Educational Institutions

Using a Virtual Twin of a Building to Ensure Security in Educational Institutions

The Concept of Creating Digital Twins of Bridges Using Load Tests

Knowledge graph construction and visualization analysis of coal mine accident safety management research based on CiteSpace and VOSviewer

Contact Info

Product

Resources

About