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王磊, 朱尚军, 蒋创, 江克贵, 郭庆彪. 基于三维激光扫描的矿区建筑物变形监测与采动损害评估[J]. 煤炭科学技术, 2022, 50(4): 213-222.
引用本文: 王磊, 朱尚军, 蒋创, 江克贵, 郭庆彪. 基于三维激光扫描的矿区建筑物变形监测与采动损害评估[J]. 煤炭科学技术, 2022, 50(4): 213-222.
WANG Lei, ZHU Shangjun, JIANG Chuang, JIANG Kegui, GUO Qingbiao. Research on deformation monitoring and mining damage evaluation of buildings in mining area based on 3D laser scanning technology[J]. COAL SCIENCE AND TECHNOLOGY, 2022, 50(4): 213-222.
Citation: WANG Lei, ZHU Shangjun, JIANG Chuang, JIANG Kegui, GUO Qingbiao. Research on deformation monitoring and mining damage evaluation of buildings in mining area based on 3D laser scanning technology[J]. COAL SCIENCE AND TECHNOLOGY, 2022, 50(4): 213-222.

基于三维激光扫描的矿区建筑物变形监测与采动损害评估

Research on deformation monitoring and mining damage evaluation of buildings in mining area based on 3D laser scanning technology

  • 摘要: 针对传统测量方法提取矿区地表形变存在获取数据是离散、低密度,不能完整有效地对建筑物损坏等级进行评价等问题。拟提出基于三维激光扫描技术(3DLS)的矿区建筑物形变监测及采动损害评估方法研究。首先介绍了基于三维激光的建筑物变形监测精度设计方法及建筑物采动损害评估方法。其次构建了基于量子粒子群(QPSO)的三维激光标靶球拟合方法,并进行了精度分析。随后对淮南某矿区地表建筑物进行了多时段实时观测,并对矿区开采沉陷盆地建筑物的特征点进行形变信息提取。最后依据《建筑物、水体、铁路及主要井巷煤柱留设现压煤开采规程》对房屋的损坏等级进行了评价。结果表明:①QPSO算法应用于标靶球拟合具有一定的稳定性且其结果精度较高。②矿区地表建筑物的损坏等级与距开切眼的距离成正比,离开切眼越近,建筑物的损坏等级越高,同时其与工作面的掘进进度有关,随着工作面开采强度的提高,地表建筑物的损坏程度也随之提高。综上,应用三维激光扫描技术监测矿区地表建筑物的采动损害对矿区安全生产及评估有着指导性的意义,研究成果对附近矿区的地质环境灾害评估与防治具有重要的参考价值。

     

    Abstract: In view of the problems that traditional measurement methods extract the surface deformation of mining areas, the data obtained is discrete and low-density, and traditional measurement methods cannot fully and effectively evaluate the damage level of buildings. Research on the method of building deformation monitoring and mining damage assessment based on 3D laser scanning technology (3DLS) is proposed in the article. Firstly, Introduces the design method of building deformation monitoring accuracy based on 3D laser and the evaluation method of building mining damage. Secondly, a 3D laser target ball fitting method based on Quantum Particle Swarm (QPSO) is constructed and the accuracy is analyzed.Subsequently, multi-period real-time observations were made on the surface buildings in a mining area in Huainan, and the deformation information was extracted from the characteristic points of the buildings in the mining subsidence basin in the mining area. Finally, according to “Regulations for Coal Pillar Retention and Coal Mining in Buildings,Water Bodies,Railways and Main Shafts”,the damage level of the house was evaluated. The results showed that:①QPSO algorithm has a certain stability in the target ball fitting and the result accuracy is high. ②On the outside direction of working face, the damage degree of buildings is positively related to the distance from the open-off cut, and the closer the distance to the open-off cut, the higher the damage degree of buildings. Simultaneously, it is related to the tunneling progress of the working face. As the mining intensity of the working face increases, the damage to the surface buildings also increases. In summary, the application of 3D laser scanning technology to monitor the mining damage of surface buildings in mining areas is of guiding significance for the safety production and evaluation of mining areas.The research results of this article have important reference value for the evaluation and prevention of geological environmental disasters in nearby mining areas.

     

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