Safety Monitoring Methods of Dam Structure Deformation Based on Improved Support Vector Machine
Yeqing Chang, Zhao Yangjun, Jing Leng, Feng Zhu, Chao Tan
Abstract
Yeqing Chang, Zhao Yangjun, Jing Leng, Feng Zhu, Chao Tan
Abstract
Support vector machine provides new technical support for dam deformation monitoring. For this reason, this paper designs a safety monitoring method for the deformation of the dam structure of the reservoir. The deformation data of the reservoir dam structure is collected and processed first, and then the deformation error is analyzed based on the improved support vector machine (SVM), and the multi-site cloud data is spliced together to realize the safety monitoring of the dam structure deformation. The experimental results show that the designed safety monitoring method has a good monitoring effect and has application value.
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Support vector machine provides new technical support for dam deformation monitoring. For this reason, this paper designs a safety monitoring method for the deformation of the dam structure of the reservoir. The deformation data of the reservoir dam structure is collected and processed first, and then the deformation error is analyzed based on the improved support vector machine (SVM), and the multi-site cloud data is spliced together to realize the safety monitoring of the dam structure deformation. The experimental results show that the designed safety monitoring method has a good monitoring effect and has application value.
Key concepts: Safety monitoring, Deformation monitoring, Support vector machine, Deformation (meteorology), Computer science, Condition monitoring, Cloud computing, Structural engineering