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Scientific preparation for JRT: Wind pressure prediction model for large radio telescope based on real data from multi-sensors

文献类型：期刊论文

作者Wu, Rui12; Cao, Zhong9,10,11,12; Wang, Feng9,10,11; Rao, Rui8; Huang YX(黄玉祥)7; Hu, Ruifeng12
刊名HELIYON
出版日期2024-09-30
卷号10期号:18
关键词Wind pressure prediction Large radio telescope Variational mode decomposition Pointing accuracy Multi-sensors
DOI10.1016/j.heliyon.2024.e37892
产权排序第6完成单位
文献子类Article
英文摘要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.
学科主题天文学 ; 射电天文学
URL标识查看原文
出版地50 HAMPSHIRE ST, FLOOR 5, CAMBRIDGE, MA 02139 USA
WOS关键词COEFFICIENTS ; BUILDINGS ; DESIGN
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
WOS研究方向Science & Technology - Other Topics
语种英语
WOS记录号WOS:001317067900001
出版者CELL PRESS
资助机构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
版本出版稿
源URL[http://ir.ynao.ac.cn/handle/114a53/27611]  
专题云南天文台_射电天文研究组
作者单位1.Chinese Acad Sci, Yunnan Observ, Kunming 650011, Peoples R China
2.Guangzhou Univ, Res Ctr Wind Engn & Engn Vibrat, Guangzhou 510006, Peoples R China;
3.Peng Cheng Lab, Shenzhen 518000, Peoples R China;
4.Natl Astron Data Ctr, Great Bay Ctr, Guangzhou 510006, Guangdong, Peoples R China;
5.Guangzhou Univ, Ctr Astrophys, Guangzhou 510006, Peoples R China;
6.Guangzhou Univ, Sch Elect & Commun Engn, Guangzhou 510006, Peoples R China;
7.Yunnan Observatory, Chinese Academy of Sciences, Kunming 650011, China;
8.Research Center for Wind Engineering and Engineering Vibration, Guangzhou University, Guangzhou 510006, China;
9.Peng Cheng Laboratory, Shenzhen 518000, China;
10.Great Bay Center, National Astronomical Data Center, Guangzhou, Guangdong 510006, 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).

入库方式： OAI收割

来源：云南天文台

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