摘要
对Kalman滤波在静力水准和固定式测斜仪原始数据降噪处理中的应用进行研究。结果表明,在缓慢变形条件下,Kalman滤波可以有效过滤原始数据中的噪声,提供试验结果,还原监测对象真实变形情况。但在突发变形情况下,Kal-man滤波反应滞后。因此,实际应用中应综合使用滤波前和滤波后的数据,以更准确地研判变形趋势和规律,为自动监测数据的噪声处理提供了新的思路和方法。通过Kalman滤波的应用,可以进一步提高监测数据的准确性和可靠性,为工程安全监测和地质灾害预警等领域提供支持。
The application of Kalman filtering in denoising static leveling and fixed inclinometer raw data was investigated.The results indicated that under slow deformation conditions,Kalman filtering can effectively filter out noise in the original data,provide reliable results,and reveal the true deformation situation of the monitored object.But in case of sudden deformation,Kalman filtering reflects lag.Therefore,in practical applications,the data before and after filtering should be comprehensively used to more accurately analyze deformation trends and patterns.It provided new ideas and methods for noise processing in automatic monitoring data.The application of Kalman filtering can further improve the accuracy and reliability of monitoring data,providing support for engineering safety monitoring and geological disaster warning.
作者
张子真
周宏磊
张建坤
贾辉
Zhang Zizhen;Zhou Honglei;Zhang Jiankun;Jia Hui(BGI Engineering Consultants Ltd.,Beijing 100038,China;Beijing Municipal Engineering and Technology Research Center of Road and Municipal Pipeline Underground Disease,Beijing 100038,China)
出处
《岩土工程技术》
2024年第4期398-401,共4页
Geotechnical Engineering Technique
