Radio frequency propagation model and fading of wireless signal at 2.4 GHz in an underground coal mine

Wireless Sensor Network (WSN) has an enormous prospective in hazardous areas such as underground coal mines. However, there is a need to ensure safety while installing WSN in underground coal mine as it is hazardous in nature and WSN radiates Radio Frequency (RF) signals which can be an eminent source of ignition. Henceforth when the underground coal mines are equipped with WSN there is a need to set the threshold limits of different physical parameters in order to eradicate such hazards for enabling safety. Therefore, in the present chapter, attempts have been made to assess the required safety for WSN while installing in underground coal mines. In addition, various types of hazards associated with underground coal mines and their consequences are elaborated in details with a glimpse to mitigate them with the use of WSN.

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Millimeter Wave Radio Frequency Propagation Model Development

10.21236/ada609960 ◽

2014 ◽

Author(s):

Youssef Tawk ◽

Christopher Romero

Keyword(s):

Radio Frequency ◽

Millimeter Wave ◽

Model Development ◽

Propagation Model ◽

Wave Radio ◽

Radio Frequency Propagation

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Underground Coal Mine Positioning System Based on RSSI Positioning Algorithm Improved Through the BP Learning Training

The Open Fuels & Energy Science Journal ◽

10.2174/1876973x01508010281 ◽

2015 ◽

Vol 8 (1) ◽

pp. 281-286

Author(s):

Yan-Xiu Chen

Keyword(s):

Standard Deviation ◽

Coal Mine ◽

Large Error ◽

Underground Coal Mine ◽

Working Face ◽

Wireless Signal ◽

Geographic Environment ◽

Wireless Positioning ◽

Positioning Algorithm ◽

Electromagnetic Transmission

The influence of the coal mine geographic environment on the electromagnetic transmission might result in the difficulty of wireless positioning under the mine. Concerning that the influence of the underground working face on the wireless signal attenuation is mainly reflected through the electricity path attenuated and based on the underground geographic differences, two corresponding electromagnetic loss models are established. Under the conditions of low energy consumption and no need for hardware devices, RISS algorithm is found suitable to be used in the underground coal mine. However, the problems of large error and poor precision still exist. This paper first introduces the standard deviation threshold, TSA, as decided by the practical environment; then compares it with the standard deviation, RSA, obtained by the calculation of every target node to finally obtain the modified value of RSS. Based on that, the BP algorithm is introduced for learning training, improvement of the positioning error rate and the system’s positioning precision.

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Simulation Research of the Underground Coal Mine Wireless Signal Transmission Characteristics

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.568-570.1321 ◽

2014 ◽

Vol 568-570 ◽

pp. 1321-1325

Author(s):

Juan Wang ◽

Yi Hai Wang ◽

An Hua Wang ◽

Chang Pu Wang

Keyword(s):

Coal Mine ◽

High Frequency ◽

Light Propagation ◽

Signal Transmission ◽

Transmission Characteristics ◽

Simulation Research ◽

Underground Coal Mine ◽

Wave Approximation ◽

Safe Production ◽

Wireless Signal

According to the special communication environment of the underground coal mine and the characteristic of high frequency electromagnetic wave approximation light propagation, this research adopts ray tracing method to simulate and analyze the characteristics of radio wave propagation in the underground roadway. The study not only is the theoretical basis for the development of wireless communication system in the underground, but also will provide an effective guarantee for safe production and modernization superintendence of coal mine.

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