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

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.

The Method of the Global Positioning Based on RSSI

2012 ◽  
Vol 198-199 ◽  
pp. 1438-1441
Author(s):  
Ming Ming Tian ◽  
Zong Jiu Zhu
Keyword(s):  
Coal Mine ◽  
Signal Strength ◽  
Received Signal Strength ◽  
Positioning Error ◽  
Underground Coal Mine ◽  
Global Positioning ◽  
Positioning Algorithm ◽  
Received Signal Strength Indication ◽  
Vertical Positioning ◽  
Communication Radius

A novel Global Positioning Algorithm for Workers in Underground Coal Mine Based on RSSI (Received Signal Strength Indication) is proposed and implemented. The innovation of the algorithm is the RSSI optimization and GIS auxiliary positioning. The RSSI optimization can reduces the error caused when the blind code is too closed to the reference node, and GIS auxiliary positioning is to solve the problem that the number of the reference codes in the communication radius of blind code is less than three. Experimental Results Indicate that Global positioning algorithm has the average vertical positioning error less than 4m, the horizontal error less than 1/2 roadway width, and the positioning cycle less than 1s, with better positioning and tracking performance, and expands the coverage of the network of underground positioning.

Positioning Algorithm of Underground Personnel Based on ZigBee Technology

2014 ◽  
Vol 532 ◽  
pp. 121-125
Author(s):  
Wei Jiang ◽  
Feng Yang
Keyword(s):  
Coal Mine ◽  
Low Cost ◽  
New Technology ◽  
Low Complexity ◽  
Wireless Technology ◽  
Underground Coal Mine ◽  
Zigbee Technology ◽  
Production Safety ◽  
Accurate Position ◽  
Positioning Algorithm

In recent years, people pay more and more attention to coal production safety. In order to enhance the security of underground work, optimize the coal mine management, and improve the personnel location accuracy, a newly arisen technique based on ZigBee with the low power, low cost and low complexity, which is suitable for being used to implement personnel position in underground coal mine, is built after comparing with several kinds of major wireless technology. In this paper, we present a new algorithm of underground personnel position based on this new technology. The algorithm uses Gaussian filtering algorithm and Bayesian statistics theory. The algorithm has been tested and the result has been analyzed. The experimental results show that the proposed algorithm provides more accurate position than positioning algorithm using RSSI.

Optimization Coal Pillar Size of Top Coal Caving Face with Dynamic Pressure Impact

2014 ◽  
Vol 675-677 ◽  
pp. 1395-1400 ◽  
Author(s):  
Wen Zhou Li
Keyword(s):  
Numerical Simulation ◽  
Coal Mine ◽  
Simulation Analysis ◽  
Dynamic Pressure ◽  
Coal Pillar ◽  
Large Error ◽  
Working Face ◽  
Pressure Impact ◽  
Mine Depth ◽  
Pillar Size

AH Wilson coal pillar was used widely as it’s simply, but it’s appeared large error for field implementation as its difference assume conditions, mine depth H and mine thickness m. AH Wilson coal pillar formula was studied precisely by in-site stresses test and numerical simulation analysis for N3-5 top coal caving working face of CHANGCUN coal mine in Lu’an coal district of China, then modified AH Wilson formula was put forward as L = 0.008mH + 8.4,then the precise coal pillar size 18m was used in filed implementation, filed testing proved coal pillar size was reasonable.

Simulation Research of the Underground Coal Mine Wireless Signal Transmission Characteristics

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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