Application of UAV remote sensing technology in monitoring of coal mining-induced subsidence

HOU Enke; SHOU Zhaogui; XU Youning; YANG Fan; HE Fang; XIE Xiaoshen; GAO Guanjie

doi:10.3969/j.issn.1001-1986.2017.06.017

Volume 45 Issue 6

Dec. 2017

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COAL GEOLOGY & EXPLORATION > 2017 > 45(6): 102-110. > DOI: 10.3969/j.issn.1001-1986.2017.06.017

HOU Enke, SHOU Zhaogui, XU Youning, YANG Fan, HE Fang, XIE Xiaoshen, GAO Guanjie. Application of UAV remote sensing technology in monitoring of coal mining-induced subsidence[J]. COAL GEOLOGY & EXPLORATION, 2017, 45(6): 102-110. DOI: 10.3969/j.issn.1001-1986.2017.06.017

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Application of UAV remote sensing technology in monitoring of coal mining-induced subsidence

1. College of Geology and the Environment, Xi'an University of Science and Technology, Xi'an 710054, China;
2. Foundation Treatment Technology Co., Ltd., Ningbo University, Ningbo 315211, China;
3. Xi'an Center of China Geological Survey, Xi'an 710054, China

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National Natural Science Foundation of China (41472234)

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Received Date: March 15, 2017
Published Date: December 24, 2017

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Abstract

Abstract

In order to study the application of UAV remote sensing technology in monitoring of coal mining-induced subsidence, taking fully-mechanized coal mining face 011805 in Jinfeng coal mine as an example, the method of the interpretation of surface cracks, the calculation of ground settlement and the rule of surface subsidence are discussed in this paper. The results show that the flight height of UAV can be determined according to the need to identify the width of surface cracks, and for identification width of surface cracks of 2 cm in general the flight height should not exceed 143 m in the flat area. The method based on the rules of spectrum, elongation and compactness is suitable for extracting surface cracks automatically, and the image segmentation model based on edge detection and the image fusion model based on Full Lambda Schedule should be adopted when using this method to identify surface cracks. Surface subsidence and subsidence coefficient can be obtained through fitting and correcting the remote sensing elevation value of UAV, which shows that the remote sensing technology can be used to monitor coal mining-induced surface subsidence. The number of surface cracks in the fully-mechanized coal mining face is large, and they are vertical in the direction of extraction roughly; while the number of surface cracks near the face opening and crossheading is small, and they are parallel to the face opening and crossheading roughly.
- UAV remote sensing technology,
- surface collapse,
- surface cracks,
- geological hazard monitoring,
- coal mining

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[1]	刘辉,何春桂,邓喀中,等. 开采引起地表塌陷型裂缝的形成机理分析[J]. 采矿与安全工程学报,2013,30(3):380-384. LIU Hui,HE Chungui,DENG Kazhong,et al. Analysis of forming mechanism of collapsing ground fissure caused by mining[J]. Journal of Mining & Safety Engineering,2013,30(3):380-384.
[2]	胡振琪,王新静,贺安民. 风积沙区采煤沉陷地裂缝分布特征与发生发育规律[J]. 煤炭学报,2014,39(1):11-18. HU Zhenqi,WANG Xinjing,HE Anmin. Distribution characteristic and development rules of ground fissures due to coal mining in windy and sandy region[J]. Journal of China Coal Society,2014,39(1):11-18.
[3]	贺卫中,向茂西,刘海南,等. 榆神府矿区地面塌陷特征及环境问题[J]. 煤田地质与勘探,2016,44(5):131-135. HE Weizhong,XIANG Maoxi,LIU Hainan,et al. Ground subsidence and its environment problems in Yushenfu mining area[J]. Coal Geology & Exploration,2016,44(5):131-135.
[4]	周长松,邹胜章,夏日元,等. 太原盆地地裂缝发育规律及防控措施[J]. 煤田地质与勘探,2016,44(2):73-78. ZHOU Changsong,ZOU Shengzhang,XIA Riyuan,et al. Development regularity and control measures of ground fissures in Taiyan basin[J]. Coal Geology & Exploration,2016,44(2):73-78.
[5]	彭捷,李永红,刘海南,等. 榆神矿区大砭窑煤矿地面塌陷与地裂缝发育规律[J]. 中国煤炭,2015(10):37-41. PENG Jie,LI Yonghong,LIU Hainan,et al. Development law of surface collapse and ground fractures in Dabianyao coal mine in Yulin-Shenmu mining area[J]. China Coal,2015(10):37-41.
[6]	于大鹏,覃秋雅,马秉智,等. 矿山采空区地面塌陷危险性预测[J]. 工矿自动化,2010(3):78-81. YU Dapeng,QIN Qiuya,MA Bingzhi,et al. Risk prediction of ground subsidence in Mined-out Area[J]. Industry and Mine Automation,2010(3):78-81.
[7]	王利民,刘佳,杨玲波,等. 基于无人机影像的农情遥感监测应用[J]. 农业工程学报,2013,29(18):136-145. WANG Limin,LIU Jia,YANG Lingbo,et al. Applications of unmanned aerial vehicle images on agricultural remote sensing monitoring[J]. Transactions of the Chinese Society of Agricultural Engineering,2013,29(18):136-145.
[8]	盛业华,闫志刚,宋金铃. 矿山地表塌陷区的数字近景摄影测量监测技术[J]. 中国矿业大学学报,2003,32(4):73-77. SHENG Yehua, YAN Zhigang, SONG Jinling. Digital photogrammetry technology area measurement[J]. Journal of China University of Mining & Technology,2003,32(4):73-77.
[9]	杨化超,邓喀中,张书毕,等. 数字近景摄影测量技术在矿山地表沉陷监测中的应用研究[J]. 中国图象图形学报,2008, 13(3):519-524. YANG Huachao,DENG Kazhong,ZHANG Shubi,et al. Research on subsidence monitoring of mine surface using digital close-range photogrammetric technique[J]. Journal of Image and Graphics in the Chinese Mine Surface,2008,13(3):519-524.
[10]	周文生,吴振宇,刘海燕. 无人机遥感在矿山地质环境调查中的应用[J]. 地下水,2014,36(2):128-129. ZHOU Wensheng,WU Zhenyu,LIU Haiyan. Application of UAV remote sensing in the investigation of mine geological environment[J]. Groundwater,2014,36(2):128-129.
[11]	魏长婧,汪云甲,王坚,等. 无人机影像提取矿区地裂缝信息技术研究[J]. 金属矿山,2012,41(10):90-92. WEI Changjing,WANG Yunjia,WANG Jian,et al. Research on the information technology of mining area in the mining area of UAV image extraction[J]. Metal Mine,2012,41(10):90-92.
[12]	赵星涛,胡奎,卢晓攀,等. 无人机低空航摄的矿山地质灾害精细探测方法[J]. 测绘科学,2014,39(6):49-52. ZHAO Xingtao,HU Kui,LU Xiaopan,et al. The fine detection method of mine geological hazards in low altitude aerial photography[J]. Science of Surveying and Mapping,2014,39(6):49-52.
[13]	张启元. 无人机航测技术在青藏高原地质灾害调查中的应用[J]. 青海大学学报(自然科学版),2015,33(2):67-72. ZHANG Qiyuan. The UAV aerial technology in Qinghai Tibet Plateau geological disaster investigation application[J]. Journal of Qinghai University(Natural Science Edition),2015,33(2):67-72.
[14]	李冰,刘源,刘素红,等镕. 基于低空无人机遥感的冬小麦覆盖度变化监测[J]. 农业工程学报,2012,28(13):160-165. LI Bing,LIU Rongyuan,LIU Suhong,et al. Monitoring vegetation coverage variation of winter wheat by low-altitude UAV remote sensing system[J]. Transactions of the Chinese Society of Agricultural Engineering,2012,28(13):160-165.
[15]	毕凯,李英成,丁晓波,等. 轻小型无人机航摄技术现状及发展趋势[J]. 测绘通报,2015(3):27-31. BI Kai,LI Yingcheng,DING Xiaobo,et al. Aerial photogrammetric technology of light small UAV:Status and trend of development[J]. Bulletin of Surveying and Mapping,2015(3):27-31.
[16]	王东亮,万幼川,徐景中,等. 基于DEM的机载LiDAR航线设计[J]. 测绘科学,2011(1):116-118. WANG Dongliang,WAN Youchuan,XU Jingzhong,et al. A DEM-based approach for flight course design of onboard LiDAR[J]. Science of Surveying and Mapping,2011(1):116-118.
[17]	范立民,张晓团,向茂西,等. 浅埋煤层高强度开采区地裂缝发育特征-以陕西榆神府矿区为例[J]. 煤炭学报,2015, 40(6):1442-1447. FAN Limin,ZHANG Xiaotuan,XIANG Maoxi,et al. Characteristics of ground fissure development in high intensity mining area of shallow seam in Yushenfu coal field[J]. Journal of China Coal Society,2015,40(6):1442-1447.
[18]	汪小钦,王苗苗,王绍强,等. 基于可见光波段无人机遥感的植被信息提取[J]. 农业工程学报,2015,31(5):152-159. WANG Xiaoqin,WANG Miaomiao,WANG Shaoqiang,et al. Extraction of vegetation information from visible unmanned aerial vehicle images[J]. Transactions of the Chinese Society of Agricultural Engineering,2015,31(5):152-159.
[19]	李军. 采煤区地质灾害信息快速提取技术[J]. 中国地质灾害与防治学报,2015,26(2):132-136. LI Jun. Fast extraction of information about geological hazards in coal mining areas[J]. The Chinese Journal of Geological Hazard and Control,2015,26(2):132-136.
[20]	MARAGOS P,SOFOU A,STAMOU G B,et al. Image analysis of soil micromorphology:feature extraction,segmentation,and quality inference[J]. Eurasip Journal on Applied Signal Processing,2004,6:902-912.
[21]	余学义,张恩强. 开采损害学[M]. 北京:煤炭工业出版社, 2004.

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