| Scientific preparation for JRT: Wind pressure prediction model for large radio telescope based on real data from multi-sensors | |
Wu, Rui1; Cao, Zhong1,2,3,4; Wang, Feng2,3,4; Rao, Rui5; Huang YX(黄玉祥)6 ; Hu, Ruifeng1
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| 发表期刊 | HELIYON
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| 2024-09-30 | |
| 卷号 | 10期号:18 |
| DOI | 10.1016/j.heliyon.2024.e37892 |
| 产权排序 | 第6完成单位 |
| 收录类别 | SCI |
| 关键词 | Wind pressure prediction Large radio telescope Variational mode decomposition Pointing accuracy Multi-sensors |
| 摘要 | Jingdong 120-meter radio telescope (JRT) is poised to become the world's largest single-aperture fully steerable medium-low frequency radio telescope. However, like other large-aperture radio telescopes, the JRT is vulnerable to wind loads, which can cause structural deformation and pointing errors. Addressing this challenge requires the ability to predict dynamic winds in realtime. This study developed a wind pressure preprocessing and prediction model using sensor data collected from the Kunming 40-meter radio telescope (KRT), enabling real-time prediction of wind pressure on the telescope. The model employs adaptive noise and Variational Mode Decomposition (VMD) techniques to eliminate random noise from the original wind pressure data. Subsequently, wind pressure predictions are made using a Bidirectional Long Short-term Memory (BiLSTM) model. By conducting predictions under various stabilization conditions and conducting a thorough analysis of measurement data from five sensors, the study has achieved impressive results in predicting wind pressure on the KRT reflector surface. The proposed model demonstrates the lowest MAE, RMSE, and MAPE, while achieving the highest R-2 across various data sets. Where the average R-2 of the proposed model is 0.9392 at 45 degrees pitch angle attitude and the RMSE, MAE and MAPE values are 1.4923, 1.2377 and 1.82% respectively. This model helps wind load monitoring of real-time wind pressure monitoring of the telescope surface, to study the effects of wind load on pointing accuracy. By adjusting the control parameters to reduce wind load interference, to ensure the high-precision work of a large radio telescope, such as JRT. |
| 资助项目 | National SKA Program of China[2020SKA0110300]; National Science Foundation of China[12173028]; National Science Foundation of China[12373097]; Basic and Applied Basic Research Funds of Guangdong Province[2022A1515011558]; Fundamental and Application Research Project of Guangzhou[2023A03J0016]; Major Key Project of PCL |
| 项目资助者 | National SKA Program of China[2020SKA0110300] ; National Science Foundation of China[12173028, 12373097] ; Basic and Applied Basic Research Funds of Guangdong Province[2022A1515011558] ; Fundamental and Application Research Project of Guangzhou[2023A03J0016] ; Major Key Project of PCL |
| 语种 | 英语 |
| 学科领域 | 天文学 ; 射电天文学 |
| 文章类型 | Article |
| 出版者 | CELL PRESS |
| 出版地 | 50 HAMPSHIRE ST, FLOOR 5, CAMBRIDGE, MA 02139 USA |
| URL | 查看原文 |
| WOS记录号 | WOS:001317067900001 |
| WOS研究方向 | Science & Technology - Other Topics |
| WOS类目 | Multidisciplinary Sciences |
| 关键词[WOS] | COEFFICIENTS ; BUILDINGS ; DESIGN |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 版本 | 出版稿 |
| 条目标识符 | http://ir.ynao.ac.cn/handle/114a53/27611 |
| 专题 | 射电天文研究组 |
| 作者单位 | 1.School of Electronics and Communication Engineering, Guangzhou University, Guangzhou 510006, China; 2.Center For Astrophysics, Guangzhou University, Guangzhou 510006, China; 3.Great Bay Center, National Astronomical Data Center, Guangzhou, Guangdong 510006, China; 4.Peng Cheng Laboratory, Shenzhen 518000, China; 5.Research Center for Wind Engineering and Engineering Vibration, Guangzhou University, Guangzhou 510006, China; 6.Yunnan Observatory, Chinese Academy of Sciences, Kunming 650011, China; 7.Guangzhou Univ, Sch Elect & Commun Engn, Guangzhou 510006, Peoples R China; 8.Guangzhou Univ, Ctr Astrophys, Guangzhou 510006, Peoples R China; 9.Natl Astron Data Ctr, Great Bay Ctr, Guangzhou 510006, Guangdong, Peoples R China; 10.Peng Cheng Lab, Shenzhen 518000, Peoples R China; 11.Guangzhou Univ, Res Ctr Wind Engn & Engn Vibrat, Guangzhou 510006, Peoples R China; 12.Chinese Acad Sci, Yunnan Observ, Kunming 650011, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wu, Rui,Cao, Zhong,Wang, Feng,et al. Scientific preparation for JRT: Wind pressure prediction model for large radio telescope based on real data from multi-sensors[J]. HELIYON,2024,10(18). |
| APA | Wu, Rui,Cao, Zhong,Wang, Feng,Rao, Rui,黄玉祥,&Hu, Ruifeng.(2024).Scientific preparation for JRT: Wind pressure prediction model for large radio telescope based on real data from multi-sensors.HELIYON,10(18). |
| MLA | Wu, Rui,et al."Scientific preparation for JRT: Wind pressure prediction model for large radio telescope based on real data from multi-sensors".HELIYON 10.18(2024). |
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| Scientific preparati（4230KB） | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | 浏览 请求全文 | |
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