A virtual test and evaluation method for fully mechanized mining production system with different smart levels Article Swipe
YOU?
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· 2022
· Open Access
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· DOI: https://doi.org/10.1007/s40789-022-00510-3
A smart fully mechanized coal mining working face is comprised of various heterogeneous equipment that work together in unknown coal seam environments. The goal is to form a smart operational system with comprehensive perception, decision-making, and control. This involves many work points and complex coupling relationships, indicating it needs to be performed in stages and coordinated to address key problems in all directions and along multiple points. However, there are no existing unified test or analysis tools. Therefore, this study proposed a virtual test and evaluation method for a fully mechanized mining production system with different smart levels. This is based on the concept of “real data processing–virtual scene construction–setting key information points–virtual operation and evaluation.” The actual operational data for a specific working face geology and equipment were reasonably transformed into a visual virtual scene through a movement relationship model. The virtual operations and mining conditions of the working face were accurately reproduced. Based on the sensor and execution error analyses for different smart levels, the input interface for sensing, decision-making, and control was established for each piece of equipment, and an operation evaluation system was constructed. The system comprehensively simulates and tests the key points of sensing decision-making and control with various smart levels. The experimental results showed that the virtual scene constructed based on actual operational data has a high simulation degree. Users can simulate, analyze, and evaluate the overall operations of the smart mining 2.0–4.0 working face by inputting key information. The future direction for the smart development of fully mechanized mining is highlighted.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1007/s40789-022-00510-3
- https://link.springer.com/content/pdf/10.1007/s40789-022-00510-3.pdf
- OA Status
- diamond
- Cited By
- 26
- References
- 18
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4281872330
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4281872330Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1007/s40789-022-00510-3Digital Object Identifier
- Title
-
A virtual test and evaluation method for fully mechanized mining production system with different smart levelsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-06-04Full publication date if available
- Authors
-
Jiacheng Xie, Fuxiang Ge, Tao Cui, Xuewen WangList of authors in order
- Landing page
-
https://doi.org/10.1007/s40789-022-00510-3Publisher landing page
- PDF URL
-
https://link.springer.com/content/pdf/10.1007/s40789-022-00510-3.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
-
https://link.springer.com/content/pdf/10.1007/s40789-022-00510-3.pdfDirect OA link when available
- Concepts
-
Key (lock), Computer science, Interface (matter), Face (sociological concept), Coal mining, Control (management), Virtual reality, Test (biology), Work (physics), Production (economics), Data mining, Real-time computing, Human–computer interaction, Engineering, Artificial intelligence, Coal, Computer security, Economics, Bubble, Maximum bubble pressure method, Paleontology, Mechanical engineering, Parallel computing, Social science, Sociology, Biology, Macroeconomics, Waste managementTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
26Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 4, 2024: 10, 2023: 5, 2022: 7Per-year citation counts (last 5 years)
- References (count)
-
18Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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