CCPortal
DOI10.1002/cta.2890
Internet of Things technology in mineral remote sensing monitoring
Liu, Yanbing; Dhakal, Sanjev
通讯作者Liu, YB (通讯作者)
发表日期2020
ISSN0098-9886
EISSN1097-007X
起始页码2065
结束页码2077
卷号48期号:12
英文摘要At present, the rapid development of the national economy consumes a lot of mineral resources, but the national resource extraction efficiency is low. The traditional prospecting methods consume time, money, and personnel, which cannot meet the national demand for resources in a short time. Therefore, technological innovation is needed to reduce consumption in all aspects. With the continuous development of Internet of Things technology, its application is also more extensive. This paper studies the application of Internet of Things technology in mineral remote sensing monitoring. First of all, this research mainly uses the wireless communication technology in the Internet of Things to achieve data transmission and sharing in a short distance and, second, based on the remote sensing monitoring results of the mine environment to comprehensively understand the mining area and find the suitable mining mineral resources at the fastest speed; finally, the dynamic frame time slot ALOHA algorithm is used to estimate the existing data to ensure the availability of the data. The experimental data show that vector point encryption is performed on the center line of the mine at intervals of 10, 15, 20, 30, and 50 m, respectively, and the dynamic frame slot algorithm is used to calculate the appropriate mine mining curve radius. The experimental results show that the application of Internet of Things technology in mineral remote sensing monitoring can accelerate the mining of mineral resources.
英文关键词dynamic frame slot algorithm; Internet of Things technology; mineral remote sensing monitoring; remote sensing technology; wireless communication technology
语种英语
WOS研究方向Engineering
WOS类目Engineering, Electrical & Electronic
WOS记录号WOS:000583526600001
来源期刊INTERNATIONAL JOURNAL OF CIRCUIT THEORY AND APPLICATIONS
来源机构中国科学院青藏高原研究所
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/259681
推荐引用方式
GB/T 7714
Liu, Yanbing,Dhakal, Sanjev. Internet of Things technology in mineral remote sensing monitoring[J]. 中国科学院青藏高原研究所,2020,48(12).
APA Liu, Yanbing,&Dhakal, Sanjev.(2020).Internet of Things technology in mineral remote sensing monitoring.INTERNATIONAL JOURNAL OF CIRCUIT THEORY AND APPLICATIONS,48(12).
MLA Liu, Yanbing,et al."Internet of Things technology in mineral remote sensing monitoring".INTERNATIONAL JOURNAL OF CIRCUIT THEORY AND APPLICATIONS 48.12(2020).
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