Mine gas monitoring data analysis

2014 ◽  
Author(s):  
V. Vancura ◽  
L. Otte ◽  
R. Danel ◽  
D. Letavkova ◽  
Z. Seliga
Keyword(s):  
Data Analysis ◽  
Monitoring Data ◽  
Gas Monitoring ◽  
Mine Gas

Research on Mine Gas Prediction Based on Cloud Computing Data Integrating Mode

2013 ◽  
Vol 849 ◽  
pp. 435-440
Author(s):  
Yi Zhang
Keyword(s):  
Cloud Computing ◽  
Prediction Method ◽  
Monitoring Data ◽  
Time Data ◽  
Gas Monitoring ◽  
Data Simulation ◽  
Simulation Based ◽  
Source Data ◽  
Mine Gas ◽  
Chinese Coal

Because of the lack of data sharing mechanism among different safety monitor systems used in current Chinese coal mine enterprises, it is unlikely to fuse and process mine gas monitoring data and human monitoring data. In this article, a mine gas prediction method is proposed based on cloud computing data integrating mode. The method integrates all mine gas monitoring data server resources together, and then processes the obtained data by using network distributed computing resources cluster pattern and analysis the processed data. The analyzed result will provide technique support for decision making. The article introduced the architecture of cloud computing data integrating mode pattern, and built up simulation based on real time data. Simulation result indicated that it is sufficient and accurate to predict mine gas density by using virtual service system to achieve multi-source data calculation.

Mine Gas Concentration Pre-Warning Based Monitoring Data Relational Analysis

2013 ◽  
Vol 634-638 ◽  
pp. 3655-3659 ◽  
Author(s):  
Ding Wen Dong ◽  
Hong Gang Wang ◽  
Peng Tao Jia
Keyword(s):  
Monitoring Data ◽  
Statistical Characteristics ◽  
Gas Monitoring ◽  
Gas Concentration ◽  
Relational Analysis ◽  
Safe Management ◽  
Intrinsic Correlation ◽  
Mine Gas ◽  
Monitoring Data Processing ◽  
Grey Relational

For efficient analysis of mine gas monitoring data to expand monitor system function and realize effective gas pre-warning, the gas concentration pre-warning method based on monitoring data processing was studied. Studying by mine gas monitoring data, its statistical characteristics was abstracted, the intrinsic correlation characteristics of time series consisted by gas monitoring data was also analyzed by using grey relational analysis method. Further, the pre-warning indexes and its thresholds were determined, and the gas concentration abnormal situations could be analyzed, which realized timely and dynamically quantitative pre-warning. The case analysis shows that the method has a better applicability for mine-site gas concentration pre-warning, which can offer the effective decision for daily safe management.

Study on Coal Mine Gas Monitoring System Based on Arduino

2014 ◽  
Vol 1073-1076 ◽  
pp. 2173-2176 ◽  
Author(s):  
Hui Chun Gao ◽  
Chao Jun Fan ◽  
Jun Wen Li ◽  
Ming Kun Luo
Keyword(s):  
Monitoring System ◽  
Coal Mine ◽  
Low Cost ◽  
Gas Monitoring ◽  
Underground Coal Mine ◽  
Gas Concentration ◽  
Coal Mine Gas ◽  
Good Market ◽  
Mine Gas ◽  
Sd Card

Aimed at the frequency gas accident of coal mine, we designed a coal mine gas monitoring system based on Arduino microcontroller. The MQ-4 gas sensor was used to collect gas concentration, wireless ZigBee was used to transfer data of gas concentration to PC. The system can display gas concentration real-timely by LCD and use SD card to store the data. The system will send out sound and light alarm when the gas concentration overruns. Industrial tests have been carried out in Wuyang coal mine. Results show that gas monitoring system can well adapt to environment of underground coal mine and the measurement is accurate. The system is real-time monitoring and early warning. It has the characteristics of low power consumption, low cost, wireless, good market prospect.

Deformation Monitoring and Data Analysis for Metro Construction with Mining Method in Dalian

2013 ◽  
Vol 353-356 ◽  
pp. 1604-1608
Author(s):  
Guang Bin Bai ◽  
Jie Zhao ◽  
Li Sheng Liu
Keyword(s):  
Data Analysis ◽  
Construction Method ◽  
Deformation Monitoring ◽  
Monitoring Data ◽  
Ground Subsidence ◽  
Tunnel Construction ◽  
Mining Method ◽  
Construction Process ◽  
Subway Tunnel ◽  
The Future

Based on a subway tunnel construction, the construction method was introduced. The ground subsidence, crown settlement and convergence displacement caused by the cut tunnel are monitored during the tunneling construction and the results of monitoring data for them are analyzed. This technology wells to guide the tunnel-entering construction effectively and avoid the tunnel-entering construction process prone to landslides, thus ensuring the safety of the tunnel construction and will guiding the future construction.

The Monitoring Data Analysis of Cover System in Subway Station

2011 ◽  
Vol 94-96 ◽  
pp. 1814-1817
Author(s):  
Ming Li Huang ◽  
Shu Feng Pei ◽  
Wen Zheng Wang ◽  
Hua Kuan Liu
Keyword(s):  
Wear Resistance ◽  
Data Analysis ◽  
System Design ◽  
Monitoring Data ◽  
Subway Station ◽  
Cover System ◽  
First Time

Fengtail North Road Station uses a open and cover combination of laying fabricated strap method for the first time, so we monitor the Cover system very closely. We draw schedule curves and analysis the monitoring data for the main component’s monitoring projects of the Cover system. Results show that the deformation values of the components of the Cover system are small, but the values of piles top displacement and settlement are large, at the same time, the lattices of Cover boards have good wear-resistance ability. The conclusion has very great help for optimizing the system design and the promotion of laying fabricated strap method.

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