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Coordinated Development of Coal and Water Resources Based on Big Data Analysis

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Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1117))

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Abstract

Human beings have entered the stage of big data in the information age. How to use big data to serve all walks of life is a very worthy of discussion. This article thought that the mine well under - ground real-time monitoring data and mining production, living and ecological water demands as the research object, from the large data set up, management, analysis, and maintain the four aspects, combining the reality of mine work, using the large system decomposition-coordination principle and fuzzy hierarchy comprehensive evaluation method, the multi-objective dynamic programming model for nonlinear iterative simulation optimization, determine coal water - coordinate the development of new pattern and the underground water source water coal mining technology, mine Wells under - ground multi-objective efficient mixing technology, realizing the accurate, intelligent mine water utilization. Research method, this paper USES “Knowledgediscovery from GIS” and “Simonett rubik’s cube” concept, cyber GIS method is applied to build the mine Wells under - ground real-time monitoring to the big data is discussed, at the same time points out the characteristics of the coal mining situation of real-time, and possible problems are derived, which provide reference for other mines to establish large data.

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Acknowledgements

This work was supported by National Key R&D Program of China (No. 2018YFC0406400)

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Correspondence to Xiong Wu .

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Zhang, Yz., Wu, X., Zhu, G., Wu, C., Mu, Wp., Mei, As. (2020). Coordinated Development of Coal and Water Resources Based on Big Data Analysis. In: Atiquzzaman, M., Yen, N., Xu, Z. (eds) Big Data Analytics for Cyber-Physical System in Smart City. BDCPS 2019. Advances in Intelligent Systems and Computing, vol 1117. Springer, Singapore. https://doi.org/10.1007/978-981-15-2568-1_40

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