Monitoring and warning system for ground subsidence of gypsum mine based on fiber sensing

Zhigang TANG; Chenggang CAI; Yanhong WANG; Guangqing WEI; Zhen ZHANG; Jiajun JING

doi:10.16031/j.cnki.issn.1003-8035.202108034

Volume 33 Issue 5

Oct. 2022

Turn off MathJax

Article Contents

Abstract

References

The Chinese Journal of Geological Hazard and Control > 2022 > 33(5): 93-101. > DOI: 10.16031/j.cnki.issn.1003-8035.202108034

TANG Zhigang, CAI Chenggang, WANG Yanhong, et al. Monitoring and warning system for ground subsidence of gypsum mine based on fiber sensing[J]. The Chinese Journal of Geological Hazard and Control, 2022, 33(5): 93-101. DOI: 10.16031/j.cnki.issn.1003-8035.202108034

Citation:

PDF (4909 KB)

Monitoring and warning system for ground subsidence of gypsum mine based on fiber sensing

1.
Party 5 Jiangsu Bureau of Geology and Mineral Resources, Xuzhou, Jiangsu　221004, China
2.
Jiangsu Bureau of Geology and Mineral Resources, Nanjing, Jiangsu　210018, China
3.
Nanjing University （Suzhou） High and New Technology Research Institute, Suzhou, Jiangsu　215128, China

More Information

Received Date: August 30, 2021
Revised Date: September 21, 2021
Available Online: August 24, 2022

Graphical Abstract

Abstract

Abstract

In recent years, the mined-out area resulting in more than 20 goaf collapse disasters in the north Pizhou, Jiangsu Province. The traditional monitoring method of surface soil deformation is difficult to meet the requirement of advance prediction of surface subsidence. In order to solve the lack of monitoring and early warning mechanism of mined-out subsidence in gypsum mining area, a monitoring and early warning system based on fiber sensing technology was developed in this area. According to the results of preliminary investigation, analysis and numerical simulation, the ground collapse mechanism of gypsum mine is deduced, dynamic monitoring of groundwater level, displacement of deep rock and soil mass and microseismic monitoring of bottom aquifer above loose layer were monitored by optical fiber sensor, in the course of monitoring, the alarm will be triggered when the fluctuation of water level and the displacement of rock and soil suddenly exceed the normal fluctuation value or when a strong vibration signal is received, and the effective early warning will be carried out in the early stage of the ground collapse, and can provide adequate lead time for disaster prevention and mitigation efforts. Through the implementation of monitoring and early-warning work, the validity of these monitoring and early-warning means has been verified, which can provide data basis and scientific basis for the monitoring, prediction and prevention of ground subsidence in mining areas, it can also provide reference for prevention, control, monitoring and early warning of ground collapse geological disaster in gypsum mine and other similar conditions.
- fiber sensing,
- gypsum mine,
- ground subsidence,
- monitoring and early warning.

FullText(HTML)

References (23)

References

[1]	邹洋,李夕兵,赵国彦,等. 石膏矿采空区上覆岩层冒落规律与危险性评价[J]. 中国安全科学学报,2011,21(2):101 − 108. [ZOU Yang,LI Xibing,ZHAO Guoyan,et al. Study on the caving laws of overlying strata in gypsum mine goaf and its risk assessment[J]. China Safety Science Journal,2011,21(2):101 − 108. (in Chinese with English abstract) DOI: 10.3969/j.issn.1003-3033.2011.02.018
[2]	章求才,贺桂成,黄炳香,等. 浅埋石膏矿顶板破断机理及应用研究[J]. 采矿与安全工程学报,2018,35(4):773 − 779. [ZHANG Qiucai,HE Guicheng,HUANG Bingxiang,et al. Investigation on the fracture mechanism of the immediate roof in shallow buried gypsum mine and its application[J]. Journal of Mining & Safety Engineering,2018,35(4):773 − 779. (in Chinese with English abstract)
[3]	李明,郑怀昌,刘志河,等. 石膏长期强度对采空区稳定性的影响分析[J]. 化工矿物与加工,2010,39(2):21 − 23. [LI Ming,ZHENG Huaichang,LIU Zhihe,et al. Effect analysis of the long-term strength of gypsum on mine goaf stability[J]. Industrial Minerals & Processing,2010,39(2):21 − 23. (in Chinese with English abstract) DOI: 10.3969/j.issn.1008-7524.2010.02.007
[4]	夏开宗,陈从新,刘秀敏,等. 石膏矿矿柱-护顶层支撑体系的流变力学模型分析[J]. 岩土力学,2017,38(10):2923 − 2930. [XIA Kaizong,CHEN Congxin,LIU Xiumin,et al. Rheological mechanical model of pillar-protective roof supporting system in gypsum mines[J]. Rock and Soil Mechanics,2017,38(10):2923 − 2930. (in Chinese with English abstract)
[5]	陈从新. 石膏矿采空区稳定性的数值模拟研究报告[R]. 武汉: 中国科学院武汉岩土力学研究所, 2015 CHEN Congxin. Study report on numerical simulation of the stability of gypsummine goaf[R]. Wuhan: Chinese Academy of Sciences, 2015. （in Chinese）
[6]	闫士民,李乐功,刘保业. 江苏邳州石膏矿区采矿地面塌陷易发性模糊综合评判[J]. 地质学刊,2014,38(2):334 − 338. [YAN Shimin,LI Legong,LIU Baoye. Fuzzy comprehensive evaluation on susceptibility of mining surface collapse in Pizhou gypsum mine in Jiangsu[J]. Journal of Geology,2014,38(2):334 − 338. (in Chinese with English abstract) DOI: 10.3969/j.issn.1674-3636.2014.02.334
[7]	刘爱斌,景佳俊,周丹,等. 石膏矿区采空地面塌陷易发性分区与监测预警研究[J]. 中国地质调查,2017,4(6):76 − 82. [LIU Aibin,JING Jiajun,ZHOU Dan,et al. Research on susceptibility zones and monitoring and early warning of ground collapse in gypsum mining area[J]. Geological Survey of China,2017,4(6):76 − 82. (in Chinese with English abstract)
[8]	周丹,景佳俊,邢雪. 江苏省邳州石膏矿区采空地面塌陷发育特征与防治对策研究[J]. 中国地质调查,2018,5(4):99 − 106. [ZHOU Dan,JING Jiajun,XING Xue. Study on the development characteristics and control countermeasure of ground collapse in gypsum mining area of Pizhou,Jiangsu Province[J]. Geological Survey of China,2018,5(4):99 − 106. (in Chinese with English abstract) DOI: 10.19388/j.zgdzdc.2018.04.12
[9]	卢毅,施斌,于军,等. 地面变形分布式光纤监测模型试验研究[J]. 工程地质学报,2015,23(5):896 − 901. [LU Yi,SHI Bin,YU Jun,et al. Model test on distributed optical fiber monitoring of land subsidence and ground fissures[J]. Journal of Engineering Geology,2015,23(5):896 − 901. (in Chinese with English abstract) DOI: 10.13544/j.cnki.jeg.2015.05.010
[10]	郑茂兴,于广. 监测监控技术在石膏矿采空区的应用[J]. 化工矿物与加工,2012,41(9):44 − 46. [ZHENG Maoxing,YU Guang. Application of monitoring technique in mined-out area of gypsum mine[J]. Industrial Minerals & Processing,2012,41(9):44 − 46. (in Chinese with English abstract) DOI: 10.16283/j.cnki.hgkwyjg.2012.09.008
[11]	汤志刚,景佳俊,颜士顺,等. 基于InSAR监测数据的石膏矿采空塌陷特征分析—以邳州平台矿和希州矿为例[J]. 中国地质调查,2020,7(4):112 − 117. [TANG Zhigang,JING Jiajun,YAN Shishun,et al. Analysis of gob collapse characteristics in gypsum mine based on InSAR monitoring data:A case study of Pizhou Pingtai and Xizhou mine[J]. Geological Survey of China,2020,7(4):112 − 117. (in Chinese with English abstract) DOI: 10.19388/j.zgdzdc.2020.04.14
[12]	顾春生,袁骏. 基于光纤光栅传感技术的覆岩破坏模型试验[J]. 煤炭技术,2016,35(3):84 − 86. [GU Chunsheng,YUAN Jun. Model test of overlying rock failure based on fiber Bragg grating sensing technology[J]. Coal Technology,2016,35(3):84 − 86. (in Chinese with English abstract)
[13]	顾春生,杨伟峰. 基于光纤传感技术的降雨边坡模型试验[J]. 金属矿山,2017(2):141 − 144. [GU Chunsheng,YANG Weifeng. Model test of landslide failure under rainfall based on optical sensing technology[J]. Metal Mine,2017(2):141 − 144. (in Chinese with English abstract) DOI: 10.3969/j.issn.1001-1250.2017.02.026
[14]	卢毅,施斌,席均,等. 基于BOTDR的地裂缝分布式光纤监测技术研究[J]. 工程地质学报,2014,22(1):8 − 13. [LU Yi,SHI Bin,XI Jun,et al. Field study of botdr-based distributed monitoring technology for ground fissures[J]. Journal of Engineering Geology,2014,22(1):8 − 13. (in Chinese with English abstract) DOI: 10.3969/j.issn.1004-9665.2014.01.002
[15]	刘苏平,施斌,张诚成,等. 连云港徐圩地面沉降BOTDR监测与评价[J]. 水文地质工程地质,2018,45(5):158 − 164. [LIU Suping,SHI Bin,ZHANG Chengcheng,et al. Monitoring and evaluation of land subsidence based on BOTDR in Xuwei near Lianyungang[J]. Hydrogeology & Engineering Geology,2018,45(5):158 − 164. (in Chinese with English abstract) DOI: 10.16030/j.cnki.issn.1000-3665.2018.05.22
[16]	吴静红,姜洪涛,苏晶文,等. 基于DFOS的苏州第四纪沉积层变形及地面沉降监测分析[J]. 工程地质学报,2016,24(1):56 − 63. [WU Jinghong,JIANG Hongtao,SU Jingwen,et al. Dfos-based monitoring on quaternary sediments deformation and land subsidence in Suzhou,China[J]. Journal of Engineering Geology,2016,24(1):56 − 63. (in Chinese with English abstract)
[17]	施斌,徐洪钟,张丹,等. BOTDR应变监测技术应用在大型基础工程健康诊断中的可行性研究[J]. 岩石力学与工程学报,2004,23(3):493 − 499. [SHI Bin,XU Hongzhong,ZHANG Dan,et al. Feasibility study on application of botdr to health monitoring for large infrastructure engineering[J]. Chinese Journal of Rock Mechanics and Engineering,2004,23(3):493 − 499. (in Chinese with English abstract) DOI: 10.3321/j.issn:1000-6915.2004.03.025
[18]	施斌. 论大地感知系统与大地感知工程[J]. 工程地质学报,2017,25(3):582 − 591. [SHI Bin. On the ground sensing system and ground sensing engineering[J]. Journal of Engineering Geology,2017,25(3):582 − 591. (in Chinese with English abstract)
[19]	徐洪钟,周元,张丹. 基于GIS的岩溶塌陷分布式光纤监测系统的研发[J]. 水文地质工程地质,2011,38(3):120 − 123. [XU Hongzhong,ZHOU Yuan,ZHANG Dan. Development of Karst collapse monitoring system using distributed optical fiber sensor based on GIS[J]. Hydrogeology & Engineering Geology,2011,38(3):120 − 123. (in Chinese with English abstract) DOI: 10.3969/j.issn.1000-3665.2011.03.022
[20]	冯亚伟, 毛宁利, 李卫利. 山东荆泉地区岩溶地面塌陷预警分区研究[J/OL]. 中国岩溶, 2022: 1 − 16. （2022-07-27）. https://kns.cnki.net/kcms/detail/45.1157.P.20220727.0841.002.html. FENG Yawei, MAO Ningli, LI Weili. Study on early warning zoning of Karst collapse in Jingquan area of Shandong Province[J/OL]. Carsologica Sinica, 2022: 1 − 16. （2022-07-27）. https://kns.cnki.net/kcms/detail/45.1157.P.20220727.0841.002.html. （in Chinese with English abstract）
[21]	周正, 李大华, 廖云平, 等. 重庆中梁山岩溶地面塌陷特征及形成机理[J]. 中国岩溶,2022,41(1):67 − 78. [ZHOU Zheng, LI Dahua, LIAO Yunping, et al. Characteristics and formation mechanism of Karst ground collapse in Zhongliangshan area, Chongqing[J]. Carsologica Sinica,2022,41(1):67 − 78. (in Chinese with English abstract)
[22]	何国清, 杨伦, 凌赓娣, 等. 矿山开采沉陷学[M]. 徐州: 中国矿业大学出版社, 1991 HE Guoqing, YANG Lun, LING Gengdi, et al. Mining subsidence theory[M]. Xuzhou: China University of Mining & Technology Publisher, 1991. （in chinese）
[23]	王波,蔡承刚,汤志刚,等. 石膏矿采空区地面塌陷特征的离散元模拟[J]. 矿业研究与开发,2021,41(7):71 − 78. [WANG Bo,CAI Chenggang,TANG Zhigang,et al. Discrete element simulation of ground collapse characteristics in goaf of gypsum mine[J]. Mining Research and Development,2021,41(7):71 − 78. (in Chinese with English abstract)

Cited By

Cited by

Periodical cited type(11)

1.	任恩，石美晴，姚巍，罗刚，张静. 基于有效降雨阈值的区域滑坡灾害预警分析. 河北工业科技. 2025(01): 70-79 .
2.	郭典衡，马晓怡. 基于AE插件式的豫西滑坡监测预警系统设计与实现. 水利规划与设计. 2025(03): 101-106 .
3.	曾韬睿，王林峰，张俞，程平，吴帆. 基于CatBoost-SHAP模型的滑坡易发性建模及可解释性. 中国地质灾害与防治学报. 2024(01): 37-50 . 本站查看
4.	周诗凯，刘正华，余丰华，朱浩濛，黄丽，佘恬钰. 浙江省地质灾害气象风险预警一体化建设的探索与实践. 中国地质灾害与防治学报. 2024(02): 21-29 . 本站查看
5.	黄炜敏，陈全明，陈吉祥. 湖南省“631”地质灾害预警模式及避险案例研究. 中国地质灾害与防治学报. 2024(02): 74-80 . 本站查看
6.	杨连伟，黄传胜，李华，李鹏，欧阳昊明. 基于普适型降雨监测设备的江西省滑坡灾害降雨阈值分析. 江西科学. 2024(03): 538-543+667 .
7.	张群，肖智林，马志刚，金圣杰，李俊峰，许钟元，曾普，张小琼. 四川巴中红层滑坡降雨阈值克里金插值法研究. 中国地质灾害与防治学报. 2024(04): 36-44 . 本站查看
8.	曾新雄，刘佳，赖波，赵风顺，江山. 广东珠海市降雨型崩塌滑坡预警阈值研究. 中国地质灾害与防治学报. 2024(05): 141-150 . 本站查看
9.	马娟，张鸣之，齐干，叶思卿，黄喆，丁帆. 地质灾害监测复杂场景下压电式雨量计精度标定及适宜性分析. 中国地质灾害与防治学报. 2023(05): 91-96 . 本站查看
10.	康晓波，杨迎冬，王宇，祝传兵，黄成，张杰，周翠琼，柴金龙，张文鋆. 云南省地质灾害综合防治体系建设系列专项研究进展. 中国地质灾害与防治学报. 2023(06): 146-157 . 本站查看
11.	高子雁，李瑞冬，石鹏卿，周小龙，张娟. 基于长短期记忆网络的甘肃舟曲立节北山滑坡变形预测. 中国地质灾害与防治学报. 2023(06): 30-36 . 本站查看

Other cited types(2)

Get Citation

PDF

XML

Article views (406) PDF downloads (377) Cited by(13)

Monitoring and warning system for ground subsidence of gypsum mine based on fiber sensing

Abstract

References

Cited by

Periodical cited type(11)

Other cited types(2)

Catalog

Links：

Monitoring and warning system for ground subsidence of gypsum mine based on fiber sensing

Abstract

References

Cited by

Periodical cited type(11)

Other cited types(2)

Catalog

Links：

Export File

Citation

Format

Content