Prediction method and system of high slope deformation

US11676076B2 · kind B2 · utility

Assignee

• China Institute of Water Resources and Hydropower Research · CN

Inventors

• Jing Qin · Bozeman, US
• Tianjie Lei · Beijing, CN
• Geng Sun · 东风镇, CN
• Lingyun Zhao · Qingdao, CN
• Wenlong Niu · Qingdao, CN
• Mingming Zhu · Nanhu, CN
• Yanhong Wang · Beijing, CN
• Xiaomin Guo · Liujiabu, CN
• Qian Wang · San Jose, US
• Jiabao Wang · Beijing, CN
• Xiangyu Li · Longbeilingcun, CN
• Yazhen Zhang · Zhejiang, CN
• Li Zhang · Chicago, US
• Haoyu Yang · Beijing, CN

Key dates

• Filing date: Aug 14, 2020
• Grant date: Jun 13, 2023
• Expiry date: Feb 7, 2041

Classification

• Technology area (CPC G): Physics
• CPC primary: G06N20/00
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

The present invention provides a prediction method and system of high slope deformation. First, historical deformation data of each period of each part of a high slope is obtained as sample data; the sample data is divided into training samples and test samples; then a parameter group of a Support Vector Machine (SVM) model is optimized by using the training samples and a particle Swarm Optimization (PSO) algorithm to determine an optimal parameter group of the SVM model, to obtain a trained SVM model; whether the trained SVM model satisfies a condition is verified by using the test samples, and when the SVM model does not satisfy the condition, an optimal parameter group of the SVM model is re-determined; and finally the deformation of each area of the high slope is predicted by using the SVM model that satisfies the condition.