2020
DOI: 10.1109/access.2020.3025200
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Research on Intelligent Configuration Method of Mine IoT Communication Resources Based on Data Flow Behavior

Abstract: In order to ensure production safety and improve production efficiency, mining enterprises are constantly accelerating the construction of mine Internet of Things systems. In the context of a substantial increase in the number of devices with network communication capabilities in the mine, the mine network communication facilities are under tremendous pressure. We propose a device business classifier based on convolutional neural networks to improve the service quality of mine network communication infrastruct… Show more

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Cited by 7 publications
(3 citation statements)
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“…The main research directions in the analysis of security and privacy issues in smartphonebased systems can be divided into analysis of their functionality [12][13][14], configuration [15][16][17][18], source code [19][20][21], logs [22][23][24] and traffic [25][26][27] as well as the analysis of the documents that are defining the work with the user's private data [28][29][30]. Let us consider each direction in more detail.…”
Section: Related Workmentioning
confidence: 99%
“…The main research directions in the analysis of security and privacy issues in smartphonebased systems can be divided into analysis of their functionality [12][13][14], configuration [15][16][17][18], source code [19][20][21], logs [22][23][24] and traffic [25][26][27] as well as the analysis of the documents that are defining the work with the user's private data [28][29][30]. Let us consider each direction in more detail.…”
Section: Related Workmentioning
confidence: 99%
“…In the year 2020, Dong et al [1] committed to the research of underground intelligent mine autonomous driverless vehicles, and they made a great breakthrough on the function of Velocity-Free Localization of the underground vehicles. In the same year, Chen and Wang [2] published their research progress of safety monitoring in the underground coal mine, and Meng and Li [3] achieved the application of Internet of Things technology in the underground mine. Earlier before in 1999, MacLeod and Stothert [4] proposed intelligent control of the underground mine refrigeration system.…”
Section: Introduction: the Development Of The Mining Industry And The Cbtc Systemmentioning
confidence: 99%
“…In the year 2020, L. Dong et al [1] committed to the research of underground intelligent mine autonomous driverless vehicles, they have made a great breakthrough on the function of Velocity-Free Localization of the underground vehicles. The same year, W. Chen and X. Wang [2] published the research progress of safety monitoring in coal mine, Y. Meng and J. Li [3] achieved the application of Internet of things technology in the underground mine. And earlier before, in 1999, I. M. MacLeod and A. Stothert [4] proposed intelligent control of the underground mine refrigeration system.…”
Section: Introduction: the Development Of The Mining Industry And The Cbtc Systemmentioning
confidence: 99%