Production process management for intelligent coal mining based on digital twin

Zhang, Xuhui; Lv, Xin-yuan; Wang, Yan; Fan, Hongwei

doi:10.1016/b978-0-323-91300-3.00008-5

Cited by 2 publications

(3 citation statements)

References 9 publications

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“…Road headers can improve mining efficiency and enhance safety, but the current mainstream underground roadway excavation using a combination of cantilevered road headers and mono block drilling rigs has been difficult to meet the needs of excavation [27] . Literature [28] completes the coal mine intelligent road heading robot digital twin system and successfully applies it, which is capable of state sensing and data transmission, and improves the efficiency of road heading. Literature [29] researched the digital twin-driven cantilever road header virtual teaching memory cutting method through the teaching trajectory tracking based on iterative learning and fuzzy control.…”

Section: Digital Twin Empowers Road Headersmentioning

confidence: 99%

“…Possible causes of the failure and corresponding solutions are provided. And perform optimization and decision support to improve the performance and reliability of the equipment, literature [38] proposes MEFHP autonomous accurate service based on MEFHP autonomous learning, self-optimization mechanism and virtual verification.…”

Section: Digital Twin Key Technology Analysismentioning

confidence: 99%

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Overview of Digital Twins in Mining Equipment

Tian,

Yu,

2024

Advances in Transdisciplinary Engineering

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Digital twin technology is a real-time simulation skill based on computer models and real physical systems. Digital twin for extractive equipment combines physical equipment with virtual models to achieve comprehensive monitoring, prediction and optimization of extractive equipment and its operational status through data integration, simulation and analysis. The key elements of extractive equipment digital twin include sensor and data acquisition, physical model building, model calibration and validation, data analysis and decision support. By collecting the sensor data of the equipment, Efficacy of virtual environments in developing collaboration strategies between industrial robots and humans including parameters such as temperature, vibration, pressure, etc., and then the corresponding digital twin models can be established. These models can be calibrated and verified based on actual data to ensure their accuracy and reliability. Applications of digital twins for extractive equipment include operational status monitoring and prediction, optimization of operation and maintenance strategies, training and knowledge management. Digital twins can also record equipment operation data and fault information to form a knowledge base for subsequent fault diagnosis and decision-making. The application of digital twin technology for mining equipment can improve the efficiency and reliability of mining equipment, reduce operating costs, and help improve the technical level and training of employees.

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Section: Digital Twin Empowers Road Headersmentioning

confidence: 99%

Section: Digital Twin Key Technology Analysismentioning

confidence: 99%

Overview of Digital Twins in Mining Equipment

Tian,

Yu,

2024

Advances in Transdisciplinary Engineering

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“…The BIM platform serves as the main GIS supplement, the GIS platform serves as the main BIM supplement, and a third-party platform is created to integrate the GIS and BIM data [7]. The CIM technology can be applied to the entire lifecycle of a construction project [8], such as spatial and temporal planning at the beginning of the project [9], material supply chain management and visual monitoring during the project construction process [10,11], and energy consumption assessment during project operations [12,13]. Extensive research conducted on the composition of CIM, the data integration of BIM and GIS, and other technologies; however, there has been limited research on the key technology of CIM platform construction, which is crucial for the success of CIM applications.…”

Section: Introductionmentioning

confidence: 99%

Development and key technologies for architectural design and technical solutions of CIM platform: A review

Fang,

Xie,

2024

IOP Conf. Ser.: Earth Environ. Sci.

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The integration of building information modeling (BIM), geographic information systems (GIS), 5G, IOT, cloud computing, big data, artificial intelligence, and other technologies in urban management has become a new and rapidly developing trend in recent years. However, most of the existing research on the construction of city information modeling (CIM) platforms based on the integration of BIM and GIS technologies focuses on integration technologies, and there is a lack of theories, methods, and standards for further data analysis and mathematical modeling. This paper analyzes and summarizes the actual situation of the application of recent research papers in the BIM field and the application of CIM platform pilot projects, reviews the application of BIM and GIS technologies in smart cities, and discusses future trends. For example, the construction of a basic platform for smart cities requires the establishment of a three-dimensional visual CIM platform with functions such as the planning review, architectural design plan review, construction drawing review, completion acceptance filing. A smart city is built by analyzing the cyber security risks faced during the construction. The technical, management, and operational measures of the security system provide guidance and reference for the secure construction of smart cities. This involves promoting the reform of the construction work system driven by data resources obtained from government information, and the establishment a new digital government construction management system through the “separation of management and transportation.” These analyses highlight the evolution of the CIM platform construction. The results indicate that the use of key technology integration in the construction of a CIM platform requires a system theory that goes beyond integration technology and mathematical modeling methods for a detailed application. It involves analyzing the deep integration of key technologies and business processes in the CIM platform.

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Production process management for intelligent coal mining based on digital twin

Cited by 2 publications

References 9 publications

Overview of Digital Twins in Mining Equipment

Overview of Digital Twins in Mining Equipment

Development and key technologies for architectural design and technical solutions of CIM platform: A review

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