Measurements of medium frequency propagation characteristics of a transmission line in an underground coal mine

Li, Jingcheng; Whisner, Bruce; Waynert, J. A.

doi:10.1109/ias.2012.6374077

Cited by 7 publications

(6 citation statements)

References 10 publications

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“…There is a high demand for multimedia monitoring such as video and environmental parameters in underground coal mine production operations [ 1 , 2 , 3 , 4 ]. However, the existing wired monitoring systems cannot meet the requirements of safe production in underground coal mines, since there are a large number of blind monitoring areas.…”

Section: Introductionmentioning

confidence: 99%

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Multi-Sensor Detection with Particle Swarm Optimization for Time-Frequency Coded Cooperative WSNs Based on MC-CDMA for Underground Coal Mines

Yang

Zhang

et al. 2015

Sensors

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In this paper, a wireless sensor network (WSN) technology adapted to underground channel conditions is developed, which has important theoretical and practical value for safety monitoring in underground coal mines. According to the characteristics that the space, time and frequency resources of underground tunnel are open, it is proposed to constitute wireless sensor nodes based on multicarrier code division multiple access (MC-CDMA) to make full use of these resources. To improve the wireless transmission performance of source sensor nodes, it is also proposed to utilize cooperative sensors with good channel conditions from the sink node to assist source sensors with poor channel conditions. Moreover, the total power of the source sensor and its cooperative sensors is allocated on the basis of their channel conditions to increase the energy efficiency of the WSN. To solve the problem that multiple access interference (MAI) arises when multiple source sensors transmit monitoring information simultaneously, a kind of multi-sensor detection (MSD) algorithm with particle swarm optimization (PSO), namely D-PSO, is proposed for the time-frequency coded cooperative MC-CDMA WSN. Simulation results show that the average bit error rate (BER) performance of the proposed WSN in an underground coal mine is improved significantly by using wireless sensor nodes based on MC-CDMA, adopting time-frequency coded cooperative transmission and D-PSO algorithm with particle swarm optimization.

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Section: Introductionmentioning

confidence: 99%

“…The confined space of underground tunnel appears to be a banded structure [ 1 , 2 , 3 ]. Due to the different transmission distances to the sink node, it turns out that the channel conditions are better for some wireless sensor nodes while they are poorer for other wireless sensor nodes.…”

Section: Introductionmentioning

confidence: 99%

Multi-Sensor Detection with Particle Swarm Optimization for Time-Frequency Coded Cooperative WSNs Based on MC-CDMA for Underground Coal Mines

Yang

Zhang

et al. 2015

Sensors

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“…In this band, the effect has been observed since the 1920s (Carson, 1926;Stolarczyk, 1991). Recent work has treated the phenomenon in the MF range as a transmission line effect (Li et al, 2012(Li et al, , 2013(Li et al, , 2014Brocker et al, 2015).…”

Section: Vertical Magnetic Field In a Homogeneous Halfspace Versus Comentioning

confidence: 99%

“…Nowadays, research is done for applications in MF (medium frequency, 300-3000 kHz) mine communications (Deryck, 1974;Emslie and Lagace, 1976;Wait and Hill, 1977;Stolarczyk, 1991;Li et al, 2012Li et al, , 2013Li et al, , 2014Brocker et al, 2015) and geophysical detection of buried elongated conductors such as wires or pipelines (Wynn and Zonge, 1975;Wait and Umashankar, 1978;Watts, 1978;Qian and Boerner, 1995;McKenna and McKenna, 2010;McKenna et al, 2013;Naus, 2013).…”

Section: Introductionmentioning

confidence: 99%

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Modelling and optimizing through-the-Earth radio transmissions

Ralchenko¹

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Through-the-Earth (TTE) radio has been proposed for emergency communications in locations inaccessible by conventional means, such as underground mines. While the technology is viable, it is unclear how the signal propagates in inhomogeneous media; neither modelling or obtaining a conductivity distribution in the context of TTE radio has been previously attempted. With a robust model, many practical questions can be answered, such as what is the maximum range or the optimal frequency to use, or where the transmitter and receiver should be ideally placed. To this end, a finitedifference time-domain (FDTD) code was developed and optimized for the forward modelling of TTE radio transmissions. This method is computationally intensive, and to improve performance, it was run on a graphics processing unit (GPU). The This thesis could not have been done without the contributions of many people. First, I would like to thank my supervisor, Prof. Claire Samson, for her invaluable advice for not only during this thesis, but over my whole scientific career since the summer after my second year during my undegraduate studies. I thank Vital Alert Communication, Inc., for their valuable financial support, via the Industrial Postgraduate Scholarship program with the Natural Sciences and Engineering Research Council (NSERC) over the course of my research. Mr. Markus Svilans provided extended advice and guidance during my PhD, particularly during the first half. Mr. Mike Roper also provided considerable input over the course of the PhD thesis, especially during the latter half. Mr. Michael Homer is thanked for proofreading and giving his blessing to submit all the papers and abstracts, as well as for his assistance in the field. Mr. Vladimir Puzakov is thanked for his help with the hardware and for assistance in the field. Mr. Brian Du is thanked for his assistance in the field. Dr. Peter Kwasniok is thanked for his input into the numerous experiments done over the past three years. Mr. Andrew Schenk is thanked for his assistance with the hardware. Mr. Andrew Wahl is thanked for his logistical assistance. Mr. John Steckley, of Innovative Wireless Techologies, is thanked for his assistance in the field, during a trip to West Virginia demonstrating IWT and Vital Alert products. The committee for my comprehensive examination, Prof. Dariush Motazedian iv

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Medium frequency signal propagation characteristics of a lifeline as a transmission line in underground coal mines

Reyes

Damiano

et al. 2015

2015 IEEE Industry Applications Society Annual Meeting

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Measurements of medium frequency propagation characteristics of a transmission line in an underground coal mine

Cited by 7 publications

References 10 publications

Multi-Sensor Detection with Particle Swarm Optimization for Time-Frequency Coded Cooperative WSNs Based on MC-CDMA for Underground Coal Mines

Multi-Sensor Detection with Particle Swarm Optimization for Time-Frequency Coded Cooperative WSNs Based on MC-CDMA for Underground Coal Mines

Modelling and optimizing through-the-Earth radio transmissions

Medium frequency signal propagation characteristics of a lifeline as a transmission line in underground coal mines

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