In-situ experiment on the identification of shallow hidden mining-induced ground fissure using UAV infrared technology

被引:0
|
作者
Zhao Y. [1 ,2 ]
Xu D. [1 ,3 ]
Zhang K. [1 ,2 ]
Ling C. [1 ,2 ]
Tao Y. [1 ,2 ]
Guo X. [1 ,2 ]
Sun B. [1 ,2 ]
机构
[1] Beijing Key Laboratory for Precise Mining of Intergrown Energy and Resources, China University of Mining and Technology-Beijing, Beijing
[2] School of Energy & Mining Engineering, China University of Mining and Technology-Beijing, Beijing
[3] School of Mechanics & Civil Engineering, China University of Mining and Technology-Beijing, Beijing
来源
Meitan Xuebao/Journal of the China Coal Society | 2022年 / 47卷 / 05期
关键词
Identifying fissure; Infrared images; Shallow hidden mining-induced ground fissure; Temperature; Unmanned aerial vehicle (UAV);
D O I
10.13225/j.cnki.jccs.XR21.1559
中图分类号
学科分类号
摘要
High mining intensity of coal mines can induce disasters easily, such as surface subsidence and ground fissures, and damage surface ecology. Moreover, the spontaneous combustion of residual coal also appears, which can threaten the safety of coal mine production. In addition, the degree of desertification is relatively serious in the western mining area.The surface of some coal mines is covered with aeolian sand, which easily leadsto the ground mining-induced fissures covered by aeolian sand. The shallowhidden mining-induced ground fissures are difficult to be identified by the conventional monitoring methods. To explore the feasibility of identifying shallow hidden mining-induced ground fissures, a method based on an unmanned aerial vehicle (UAV) infrared technology was proposed. Taking working face No.52605 of the Daliuta coal mine in the Shendong Mine area as the engineering background, the hidden mining-induced fissures with different buried depths were designed and prepared. At night, the infrared images at different times were obtained by continuous monitoring. The temperature of the hidden mining-induced fissures, aeolian sand, and vegetation in infrared images at different times were statistically analyzed. The results show that a UAV equipped with an infrared camera can effectively identify the shallow hidden mining-induced ground fissures, and the buried depth of the identified hidden mining-induced fissure is different at different times. The greater the temperature difference between hidden mining-induced fissures and surrounding ground objects, the easier it is to be identified. The temperature of the hidden mining-induced fissure is different from that of surrounding ground objects under the combined action of heat conduction of mining-induced fissure and ambient temperature and has an obvious correlation with burial depth. Under the research conditions of this paper, the temperature of the hidden mining-induced fissure, ground mining-induced fissure, aeolian sand, and vegetation decreases continuously from 9:00 pm to 5:00 am. The absolute temperature difference between hidden mining-induced fissures with different burial depths and aeolian sand and vegetation is large between 1:00 am and 5:00 am. The absolute temperature difference between hidden mining-induced fissureswith different buried depths and aeolian sand is ≥1.2 ℃, and the absolute temperature difference between hidden mining-induced fissures and vegetation is ≥2.1 ℃. Therefore, the hidden mining-induced ground fissuresare easy to be identified during this period. However, at 9:00 pm, the absolute temperature difference between hidden mining-induced fissures buried 15, 20, and 30 cm and aeolian sand is 0.8, 0.6, and 0.8 ℃, respectively.At 11:00 pm, the absolute temperature difference between hidden mining-induced fissures buried 20 cm and aeolian sand is 0.7 ℃.The absolute value of temperature difference is relatively small, and the hidden mining-induced fissures with the aforementioned buried depths are difficult to be identified from 9:00 pm to 11:00 pm. © 2022, Editorial Office of Journal of China Coal Society. All right reserved.
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页码:1921 / 1932
页数:11
相关论文
共 35 条
  • [1] YUAN Liang, Scientific problem and countermeasure for precision mining of coal and associated resources, Journal of China Coal Society, 44, 1, pp. 1-9, (2019)
  • [2] YIN Wei, Ground control theory and application of backfilling collaborate with caving fully-mechanized mining, (2017)
  • [3] LI Wenping, YE Guijun, ZHANG Lai, Et al., Study on the engineering geological conditions of protected water resources during coal mining action in Yu-Shen-Fu Mine Area in the North Shanxi Province, Journal of China Coal Society, 25, 5, pp. 449-454, (2000)
  • [4] DU Feng, LI Zhenhua, JIANG Guanghui, Et al., Types and mechanism of water-sand inrush disaster in west coal mine, Journal of China Coal Society, 42, 7, pp. 1846-1853, (2017)
  • [5] CHEN Chao, HU Zhenqi, Research advances in formation mechanism of ground crack due to coal mining subsidence in China, Journal of China Coal Society, 43, 3, pp. 810-823, (2018)
  • [6] GUO Wenbing, BAI Erhu, ZHAO Gaobo, Current status and progress on overburden and surface damage and prevention technology of high-intensity mining, Journal of China Coal Society, 45, 2, pp. 509-523, (2020)
  • [7] MALINOWSKA A A., The impact of deep underground coal mining on Earth fissure occurrence[J], Acta Geodynamica et Geomaterialia, 13, 4, pp. 321-330, (2016)
  • [8] WANG K, TANG H B, WANG F Q, Et al., Research on complex air leakage method to prevent coal spontaneous combustion in longwall goaf[J], PloS One, 4, 3, (2019)
  • [9] PAN Ruikai, CAO Shugang, LI Yong, Et al., Development of overburden fractures for shallow double thick seams mining, Journal of China Coal Society, 43, 8, pp. 2261-2268, (2018)
  • [10] BIAN Zhengfu, YU Haochen, HOU Jing, Et al., Influencing factors and evaluation of land degradation of 12 coal mine areas in Western China, Journal of China Coal Society, 45, 1, pp. 338-350, (2020)