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

Abstract:

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.

• Periodical: Advanced Materials Research (Volume 849)
• Pages: 435-440
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.849.435
• Online since: November 2013
• Authors: Yi Zhang*
• Keywords: Cloud Computing, Integrating Mode, Mine Gas Prediction, Virtual Service

References

[1] Zhang QS. Research and Application of Monitoring System for Cloud Computing Platform[D]. Beijing. Beijing Jiaotong University. (2011).

[2] Zhang X. Research of Software Resource Service Platform Based on Cloud Computing. Shanghai. Donghua University. (2012).

[3] Sun WL. Research of Web Application Technology Based on IaaS Cloud Computing[D]. Nanjing. Nanjing University of Science and Technology. ( 2011).

[4] Wang LF. Research on Memory Resource Cooperation and Sharing in Cloud Computing Platform Based on Virtualization Technology[D]. Changsha: National University of Defense Technology ( 2011).

[5] Liu YB, Dai J. Research on the Technology of Information Resources Integration under the Environment of Cloud Computing[J]. Computer CD Software and Applications(2012) (8): 24-25.

[6] Liu X. Cloud Computing in Data Management and Application of Key Technologies[J]. China Computer & Communication(2012) (4): 121-122.

[7] Leng P. Research on Information Management System Based on Cloud Computing[J]. Manufacturing Automation(2012)34(6): 7-9.

[8] Li GY. Construction of Information Sharing Space Resource Based on Cloud Computing[J]. Library Modern Technology(2011) 32 (2): 53-55.

[9] Cheng K, Zang DH, Zhang GF. Based on Cloud Computing Coal Mine Safety Supervision Information System[J]. Applied Energy Technology( 2012) (4): 10-12.

[10] Hao XM. Research on Coal Enterprise Information Based on Cloud Computing[D]. Taiyuan: Shanxi University of Finance and Economics (2011).

[11] Tang Hong-wei, Cheng Jian-yuan, Wang Shi-dong. The effective application of BP neural networks prediction model for gas content in binchang mining[A]. Proceedings of the 2009 International Conference on Computational Intelligence and Software Engineering [C] (2009).

DOI: 10.1109/cise.2009.5363258