地理空间信息2024，Vol.22Issue(6)：71-73,93,4.DOI:10.3969/j.issn.1672-4623.2024.06.016
时变参数灰色模型在变形监测中的应用
Application of Time-varying Parameter Grey Model in Deformation Monitoring
摘要
Abstract
In order to improve the accuracy of settlement data,analyze the deformation trend of monitoring targets,and avoid the occurrence of major engineering accidents,we established a time-varying parameter grey model based on optimized background values.Firstly,we introduced the traditional grey GM(1,1)model and the metabolic grey model.Then,we established the grey GM(1,1)model and the metabolic grey model based on time-varying parameters based on the principle of optimizing the grey action quantity,used the golden section method to optimize the background value in the grey model,and established a grey model with time-varying parameters to optimize the background value.Finally,tak-ing the monitoring data of surface subsidence in a mining area for example,we verified the prediction results and evaluated the accuracy.The ex-perimental results show that this model has the highest prediction accuracy and is more suitable for the deformation trend of surface monitor-ing data.关键词
灰色模型/时变参数/背景值优化/精度检验Key words
grey model/time-varying parameter/optimized background value/accuracy inspection分类
天文与地球科学引用本文复制引用
黄志强,李瑞红..时变参数灰色模型在变形监测中的应用[J].地理空间信息,2024,22(6):71-73,93,4.基金项目
广东省科技计划资助项目(2018B020207002). （2018B020207002）
