摘要
为解决矿山监测中单数据源所获目标物信息不完整、数据不全面的问题,提出了以测量机器人(RTS)获取点监测数据和三维激光扫描仪(TLS)获取面监测数据的多源信息融合的边坡监测方法,并对两种方法获取的监测成果进行了互联性检查,在满足要求后进行了数据的整合以及融合分析。研究结果表明,当点监测与面监测成果的互联性满足限差要求时,保留点监测的下滑量信息,提取面监测的模型信息来进行多源信息的融合分析可以更全面地保证边坡监测成果的完整性与可靠性。该研究成果对边坡监测工程具有一定的参考价值和指导意义。
The obtained target object information of single data source in mine monitoring were incomplete, and its data was imperfect. In order to solve this problem, a slope monitoring method based on multi-source information fusion was proposed. In this method, the measurement robots （RTS） was used to acquire point monitoring data and laser scanner （TLS） was adopted to obtain surface monitoring data. An interconnected check on the above two monitoring results was conducted. Then, the data was integrated and fusion analysis was carried out after meeting the requirements. The research indicated that when the interconnected results of the point monitoring and surface monitoring met the tolerance requirements, the decline information of point monitoring was retained and the model information of surface monitoring was extracted. On this basis, multi-source information fusion analysis could guarantee the integrity and reliability of slope monitoring results more completely. The research results had a certain reference value and guiding significance for slope monitoring project.
作者
韦家兴
徐茂林
修红玲
WEI Jiaxing;XU Maolin;XIU Hongling(School of Civil Engineering,University of Science and Technology Liaoning,Anshan,Liaoning 114051,China)
出处
《矿业研究与开发》
CAS
北大核心
2018年第10期29-33,共5页
Mining Research and Development
基金
国家重点研发项目(2016YFC0801602)
