Evidence map›Paper›PMID 41471404›Full record

ArticleSensors (Basel, Switzerland)2025

Real-Time Reconstruction of the Temperature Field of NSRT's Back-Up Structure Based on Improved RIME-XGBoost.

Shi-Jiao Zhang, Qian Xu, Hui Wang, Fei Xue, Fei-Long He, Xiao-Man Cao

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Shi-Jiao ZhangXinjiang Astronomical Observatory, Chinese Academy of Sciences, Urumqi 830011, China.ORCID 0009-0000-9265-3065
Qian XuXinjiang Astronomical Observatory, Chinese Academy of Sciences, Urumqi 830011, China.
Hui WangXinjiang Astronomical Observatory, Chinese Academy of Sciences, Urumqi 830011, China.ORCID 0009-0003-4320-4409
Fei XueXinjiang Astronomical Observatory, Chinese Academy of Sciences, Urumqi 830011, China.
Fei-Long HeXinjiang Astronomical Observatory, Chinese Academy of Sciences, Urumqi 830011, China.
Xiao-Man CaoXinjiang Astronomical Observatory, Chinese Academy of Sciences, Urumqi 830011, China.

Funding

Scientific Instrument Developing Project of the Chinese Academy of Sciences PTYQ2022YZZD01Shaanxi antenna and control technology key laboratory open fund NULLTianshan Talent Training Program of Xinjiang Uygur Autonomous Region 2023TSYCCX0105Western-Light Key Laboratory Project of Western Cross-disciplinary 258 Team xbzg-zdsys-202320Xinjiang Uygur Autonomous Region "Tianshan innovation team" No. 2024D14003
6 · The paper itself

Abstract

Obtaining an antenna's back-up structure (BUS) temperature field is an essential prerequisite for analyzing its thermal deformation. Thermodynamic simulation can obtain the structure's thermal distribution, but it has low computational accuracy. There is a problem with cumbersome wiring and difficult maintenance of the temperature measurement system. This study developed an improved RIME-XGBoost model to realize the temperature prediction of the BUS of the Nanshan 26-m Radio Telescope (NSRT). The proposed model successfully predicts the NSRT's BUS temperature distribution based solely on environmental sensing (ambient temperature, angle of solar radiation, antenna's orientation, etc.). The relative prediction accuracy between the predicted and actual BUS temperature is 97.15%, and the predictive error is less than 0.897 K (root mean square error, RMSE). This research result provides an alternative method for the real-time reconstruction of the structure's thermal distribution in large-aperture radio telescopes.

Indexed as

back-up structureenvironmental sensingeXtreme Gradient Boosting (XGBoost)machine learningmeta-heuristic algorithmsradio telescopeRIME optimization algorithmtemperature fieldthermal prediction model

Identifiers

PMID41471404
PMCPMC12737286

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.