Research status and prospects of dynamic perception and quantitative detection sensors for icing characteristics
10 affiliations
- 1Department of Energy and Power Engineering, School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China
- 2Department of Energy and Power Engineering, School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China; Corresponding author
- 3Department of Building Environment and Energy Engineering and Department of Mechanical Engineering, The Hong Kong Polytechnic University, Hong Kong, China
- 4School of Mechanical Engineering, Hanyang University, Seoul, Republic of Korea
- 5China Aerodynamics Research and Development Center, Mianyang, China
- 6College of Electronic Information and Automation, Civil Aviation University of China, Tianjin, China
- 7Hunan Guo Tian Electronic Technology Co, Ltd, Changsha, China
- 8Chengdu CAIC Electronics Co, Ltd, Chengdu, China
- 9Taiyuan Aviation Instrument Co, Ltd, Taiyuan, China
- 10Wuhan Aviation Instruments Co, Ltd, Wuhan, China
Abstract
Ice detection technologies are essential for mitigating icing hazards in energy, transportation, and other fields in cold and humid environments. This review systematically summarizes the sensing principles, performance metrics, optimization strategies, and applications of ice detection technologies. Based on the physical properties of ice, sensing technologies are classified into acoustic, optical, thermal, electrical, and mechanical, and systematically compared for their capabilities in detecting icing characteristics, including ice type, thickness, and distribution. Optical and acoustic sensors achieve accuracies of about 0.1 mm within a 13 mm detection range, whereas electrical and mechanical sensors offer accuracies of 0.2–1.0 mm within a 20 mm range. Optimization strategies focusing on structures, materials, and algorithms are examined. Representative ice detection products and engineering applications are comprehensively analyzed. Finally, challenges and future directions for intelligent and multimodal ice detection are assessed, providing guidance for accurate icing monitoring and effective ice hazard mitigation.
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BibTeX
@article{shi2026research,
title = {{Research status and prospects of dynamic perception and quantitative detection sensors for icing characteristics}},
author = {Han Shi and Mengjie Song and Xuan Zhang and Long Zhang and Keke Shao and Zekang Zhen and Runmiao Gao and Christopher Yu Hang Chao and Dong Rip Kim and Xian Yi and Bin Chen and Bing Huang and You Zhou and Zhenyu Du and Zhiqiang Xu},
journal = {Cell Reports Physical Science},
year = {2026},
month = oct,
doi = {10.1016/j.xcrp.2026.103543},
url = {https://doi.org/10.1016/j.xcrp.2026.103543},
note = {CC BY},
}
RIS
TY - JOUR
TI - Research status and prospects of dynamic perception and quantitative detection sensors for icing characteristics
AU - Han Shi
AU - Mengjie Song
AU - Xuan Zhang
AU - Long Zhang
AU - Keke Shao
AU - Zekang Zhen
AU - Runmiao Gao
AU - Christopher Yu Hang Chao
AU - Dong Rip Kim
AU - Xian Yi
AU - Bin Chen
AU - Bing Huang
AU - You Zhou
AU - Zhenyu Du
AU - Zhiqiang Xu
PY - 2026
DA - 2026/10/23
JO - Cell Reports Physical Science
DO - 10.1016/j.xcrp.2026.103543
UR - https://doi.org/10.1016/j.xcrp.2026.103543
AB - Ice detection technologies are essential for mitigating icing hazards in energy, transportation, and other fields in cold and humid environments. This review systematically summarizes the sensing principles, performance metrics, optimization strategies, and applications of ice detection technologies. Based on the physical properties of ice, sensing technologies are classified into acoustic, optical, thermal, electrical, and mechanical, and systematically compared for their capabilities in detecting icing characteristics, including ice type, thickness, and distribution. Optical and acoustic sensors achieve accuracies of about 0.1 mm within a 13 mm detection range, whereas electrical and mechanical sensors offer accuracies of 0.2–1.0 mm within a 20 mm range. Optimization strategies focusing on structures, materials, and algorithms are examined. Representative ice detection products and engineering applications are comprehensively analyzed. Finally, challenges and future directions for intelligent and multimodal ice detection are assessed, providing guidance for accurate icing monitoring and effective ice hazard mitigation.
SN - 2666-3864
ER -