黄明坚.基于多传感器估值融合理论的地质灾害变形监测方法研究[J].甘肃地质,2023,(4):74-78
基于多传感器估值融合理论的地质灾害变形监测方法研究
Deformation Monitoring Method of Geological Disaster Based on the Multi-Sensor Valuation Fusion Theory
  
DOI:
中文关键词:  多传感器  估值融合理论  地质灾害变形  最小误差均方差法  发展函数
英文关键词:multi-sensor  valuation fusion theory  geological disaster deformation  minimum error mean variance method  anomalous value correction  observation characteristics  development function
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作者单位
黄明坚 广东省佛山地质局广东 佛山 528000 
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中文摘要:
      在开展地质灾害变形监测的过程中,由于传感器采集数据结果会受到客观环境的影响而出现异常情况,导致对变形情况的监测结果与实际情况存在较大误差,为此,提出基于多传感器估值融合理论的地质灾害变形监测方法研究。在对多传感器数据进行预处理阶段,引入了估值融合理论,具体采用的融合算法为最小误差均方差法,利用其对传感器采集数据结果中的异常值进行校正。在变形监测阶段,充分利用了多个数据源(传感器)对同一目标进行观测时的特征构成,结合观测特征、实时状态数据与发展函数三者之间的关系,实现对地质灾害变形情况的有效监测。在测试结果中,设计方法能够获取某地铁隧道水平方向上和垂直方向上的位移结果,具有较高的可靠性和精度。
英文摘要:
      In the process of monitoring the deformation of geological disasters, because the data collected by sensors will be affected by the objective environment, there will be an abnormal situation, which will lead to a big error between the monitoring results of deformation and the actual situation. Therefore, a method of monitoring the deformation of geological disasters based on multi-sensor valuation fusion theory is proposed. In the preprocessing stage of multi-sensor data, the estimation fusion theory is introduced, and the specific fusion algorithm is the minimum error mean square deviation method, which is used to correct the abnormal values in the data collected by sensors. In the deformation monitoring stage, the characteristics of multiple data sources (sensors) when observing the same target are fully utilized, and the relationship among observation characteristics, real-time state data and development function is combined to realize effective monitoring of geological disaster deformation. In the test results, the design method can obtain the horizontal and vertical displacement results of a subway tunnel, which has high reliability and accuracy.
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