Time-space-energy Data Characteristics in Mining Area Disasters via Microseismic Monitoring Article Swipe
Congcong Zhao
,
Chang Liu
,
Liang Zhao
,
Zhen Guo
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1088/1742-6596/3004/1/012005
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1088/1742-6596/3004/1/012005
Mining deep metal deposits face frequent disasters such as ground pressure, and microseismic monitoring technology has been widely used. To effectively process and analyze massive and valuable microseismic data, and apply it to disaster warnings in mining sites. This article takes a copper mine in Xinjiang as an example, using microseismic monitoring technology to obtain spatiotemporal energy data information on rock mass regional failure and interpret the state and development trend of rock mass failure. Based on the on-site global microseismic data and the actual mining situation, a basic data set for mining microseismic events is constructed, and preliminary analysis is conducted to reveal the spatiotemporal energy parameter characteristics of the global microseismic data. Combined with the mine’s development, mining, and filling processes, potential high-risk areas are determined to achieve a deep interpretation of mining disasters. By studying the mechanical properties of rock masses and the spatiotemporal energy characteristics of microseismic activity, a foundation is laid for studying regional rock mass failure based on microseismic monitoring.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1088/1742-6596/3004/1/012005
- OA Status
- diamond
- References
- 24
- Related Works
- 10
- OpenAlex ID
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All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4410153363Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1088/1742-6596/3004/1/012005Digital Object Identifier
- Title
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Time-space-energy Data Characteristics in Mining Area Disasters via Microseismic MonitoringWork title
- Type
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articleOpenAlex work type
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-05-01Full publication date if available
- Authors
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Congcong Zhao, Chang Liu, Liang Zhao, Zhen GuoList of authors in order
- Landing page
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https://doi.org/10.1088/1742-6596/3004/1/012005Publisher landing page
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YesWhether a free full text is available
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diamondOpen access status per OpenAlex
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https://doi.org/10.1088/1742-6596/3004/1/012005Direct OA link when available
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Microseism, Energy (signal processing), Seismology, Space (punctuation), Computer science, Environmental science, Geology, Data mining, Statistics, Mathematics, Operating systemTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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24Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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