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张洋

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所在单位:能源与动力工程学院
学历:博士研究生毕业
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学位:博士
职称:副教授
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【学术成果】一篇通讯作者文章在国际会议刊物 JOPCS 上发表
发布时间:2019-12-01    点击次数:

发布时间:2019-12-01

文章标题:【学术成果】一篇通讯作者文章在国际会议刊物 JOPCS 上发表

内容:

 

将基于VD技术的粒子追踪测速算法应用于煤层上覆含水层的测量当中

Xue Weifeng, Wu Changsong, Wang Sujian, Ji Ruijun, Zhang Yang*. Application of a robust particle tracking velocimetry algorithm in the multiple-parametric measuring system for coal exploration industry. Journal of Physics: Conference Series, 2019, 1419, 012018.

 

Abstract With the gradual increase in the average exploration depth of domestic coal industry,

the conflict between deep coal exploration technology and exploration requirements is

becoming increasingly prominent. A series of exploration disaster accidents caused by

geological disasters require a high level of survey technology before the deep coal exploration.

In this study, a high-resolution single hole measuring system for aquifers in coal seam is

proposed. The entire system can be divided into two parts: hardware and software. The

hardware probe integrates various sensors for different physical parameters using optical fibre

to communicate with the controlling part above the ground. The home-made software is then

used to receive and process the signals of temperature, pressure and orientation, as well as the

instantaneous image sequence of aquifer with flowing contaminants. A home-made novel

particle tracking velocimetry algorithm based on Voronoi diagram is used as the core algorithm

to analyse the image sequence and obtain the magnitude and direction of flow at the measuring

spot of aquifer. After practical tests, the system is confirmed to be able to effectively monitor

the hydrological conditions of the aquifer in coal seam. Therefore, the proposed algorithm can

be applied to the evaluation of hydrogeological conditions before well establishment for

coal-exploration and to the prevention of potential dangers during the exploration work.