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Analysis of Wireless Electromagnetic Wave Propagation Mechanism for Coal Mine Rescue Robot
- Source :
- RCAR
- Publication Year :
- 2018
- Publisher :
- IEEE, 2018.
-
Abstract
- The wireless data transmission technology is an important part of improving the coal mine communication technology in underground. It is the realization of the wireless data signal transmission under the strong electromagnetic, closed and changeable environment, which becomes the important safeguard of the coal mining operation. In this paper, by using numerical simulation tools, a wireless electromagnetic wave transmission model for underground mine is established, and the mechanism of wireless electromagnetic wave transmission in complex environment is revealed. We study the attenuation characteristics of electromagnetic wave, visual wave propagation, surrounding rock roughness, dust and so on. Simulation results show that wireless electromagnetic channel transmission loss is very large under the influence of the roadway space, the walls roughness, the dust concentration and other non ideal environmental factors. According to the study, the change law of total attenuation loss of wireless communication channel is obtained, which provides a reliable basis for establishing and optimizing the wireless communication system of underground mine.
- Subjects :
- Computer simulation
Wave propagation
business.industry
Computer science
Acoustics
Attenuation
Transmission loss
ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS
Coal mining
020206 networking & telecommunications
02 engineering and technology
021001 nanoscience & nanotechnology
Electromagnetic radiation
GeneralLiterature_MISCELLANEOUS
Computer Science::Networking and Internet Architecture
0202 electrical engineering, electronic engineering, information engineering
Wireless
0210 nano-technology
business
Communication channel
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2018 IEEE International Conference on Real-time Computing and Robotics (RCAR)
- Accession number :
- edsair.doi...........6ae5134b7c36b0c973f0a10b1c0ebc12
- Full Text :
- https://doi.org/10.1109/rcar.2018.8621677