{
  "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.",
  "abstract_shown": true,
  "affiliations": [
    "Department of Energy and Power Engineering, School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China",
    "Department of Energy and Power Engineering, School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China; Corresponding author",
    "Department of Building Environment and Energy Engineering and Department of Mechanical Engineering, The Hong Kong Polytechnic University, Hong Kong, China",
    "School of Mechanical Engineering, Hanyang University, Seoul, Republic of Korea",
    "China Aerodynamics Research and Development Center, Mianyang, China",
    "College of Electronic Information and Automation, Civil Aviation University of China, Tianjin, China",
    "Hunan Guo Tian Electronic Technology Co, Ltd, Changsha, China",
    "Chengdu CAIC Electronics Co, Ltd, Chengdu, China",
    "Taiyuan Aviation Instrument Co, Ltd, Taiyuan, China",
    "Wuhan Aviation Instruments Co, Ltd, Wuhan, China"
  ],
  "article_type": null,
  "arxiv": null,
  "author_total": 15,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Han Shi"
    },
    {
      "affs": [
        1
      ],
      "name": "Mengjie Song"
    },
    {
      "affs": [
        0
      ],
      "name": "Xuan Zhang"
    },
    {
      "affs": [
        0
      ],
      "name": "Long Zhang"
    },
    {
      "affs": [
        0
      ],
      "name": "Keke Shao"
    },
    {
      "affs": [
        0
      ],
      "name": "Zekang Zhen"
    },
    {
      "affs": [
        0
      ],
      "name": "Runmiao Gao"
    },
    {
      "affs": [
        2
      ],
      "name": "Christopher Yu Hang Chao"
    },
    {
      "affs": [
        3
      ],
      "name": "Dong Rip Kim"
    },
    {
      "affs": [
        4
      ],
      "name": "Xian Yi"
    },
    {
      "affs": [
        5
      ],
      "name": "Bin Chen"
    },
    {
      "affs": [
        6
      ],
      "name": "Bing Huang"
    },
    {
      "affs": [
        7
      ],
      "name": "You Zhou"
    },
    {
      "affs": [
        8
      ],
      "name": "Zhenyu Du"
    },
    {
      "affs": [
        9
      ],
      "name": "Zhiqiang Xu"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/554jqck77h20g.bib",
  "cited_by": 0,
  "doi": "10.1016/j.xcrp.2026.103543",
  "fulltext_url": "http://www.sciencedirect.com/science/article/pii/S2666386426004492",
  "id": "554jqck77h20g",
  "issns": [
    "2666-3864"
  ],
  "landing_url": "https://doi.org/10.1016/j.xcrp.2026.103543",
  "language": "en",
  "licence": "CC-BY",
  "licence_label": "CC BY",
  "licence_source": "journal",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "lcc",
      "QC1-999"
    ],
    [
      "openalex",
      "2202|Icing and De-icing Technologies"
    ]
  ],
  "openalex": "W7213441533",
  "pdf_url": null,
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-23",
  "publisher": "Elsevier",
  "ris": "https://research.draconitic.com/paper/554jqck77h20g.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T13:43:33Z",
      "native_id": "6cfa56212cde46588cf491af2994ab60",
      "source": "doaj",
      "url": "https://doi.org/10.1016/j.xcrp.2026.103543"
    }
  ],
  "subjects": [
    {
      "field": "physics",
      "origin": "lcc:QC1-999",
      "subfield": "general"
    }
  ],
  "title": "Research status and prospects of dynamic perception and quantitative detection sensors for icing characteristics",
  "title_text": "Research status and prospects of dynamic perception and quantitative detection sensors for icing characteristics",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T13:43:33Z",
  "url": "https://research.draconitic.com/paper/554jqck77h20g",
  "venue": "Cell Reports Physical Science",
  "versions": []
}