露天采矿技术2025，Vol.40Issue(3)：13-17,5.DOI:10.13235/j.cnki.ltcm.20240345
基于SVM-SMA的监测数据处理方法研究与应用
Research and application of monitoring data processing method based on SVM-SMA
白继元 1肖航 1武志高1
作者信息
- 1. 国能新疆矿业红沙泉二矿有限公司,新疆 昌吉 831100
- 折叠
摘要
Abstract
To improve the interpretability and real-time response capability of slope monitoring data in open-pit mines,this article proposes a monitoring data processing framework based on the combination of support vector machine(SVM)and simple displacement averaging(SMA)methods.This method first uses an SVM model to remove outliers introduced by measurement errors,environmental disturbances,and other factors,in order to improve the credibility and robustness of the data.Then,SMA smoothing is used to process the data,replacing point by point displacement values and extracting overall trends,reducing the impact of a single abnormal displacement value on the overall curve.The processed data curve has significantly improved in both trend significance and conciseness compared to the original data,reflecting more clearly the actual trend of slope displacement changes.This method effectively enhances the sensitivity and trend recognition ability of open-pit mine slope monitoring,thereby helping to achieve timely warning and effective management of slope displacement.关键词
支持向量机/简单位移平均/趋势项/鲁棒性/数据分析Key words
support vector machine/simple displacement averaging/trend item/robustness/data analysis分类
矿业与冶金引用本文复制引用
白继元,肖航,武志高..基于SVM-SMA的监测数据处理方法研究与应用[J].露天采矿技术,2025,40(3):13-17,5.
