A Comprehensive Review of Intelligent Laser Rust Removal Technology in Offshore Wind Power Operation and Maintenance

Corrosion difficulties have emerged as a key obstacle to the safe functioning of offshore wind turbine towers, prompting academics to focus on rust removal maintenance studies. Existing research focuses mostly on automated rust removal systems, which have limitations such as limited flexibility and poor performance. In contrast, intelligent laser rust removal has emerged as a revolutionary solution due to its great efficiency and environmental friendliness. As a result, this paper examines and summarizes the strengths and limits of laser rust removal research before presenting a new offshore wind power operation and maintenance solution—the drone-based intelligent laser rust removal system. This technology uses solar and wave energy coupling to power the drone, resulting in a completely green operation that includes power supply, rust removal, and corrosion avoidance. The results show that this system has major advantages, such as high efficiency, environmental friendliness, safety, and advanced intelligence, making it an efficient solution for intelligent operation and maintenance in the offshore wind power industry.

Authors

Institutions

Publication Details

Journal
Coatings
Published
2025-12-19
DOI
https://doi.org/10.3390/coatings16010006
Primary Topic
Erosion and Abrasive Machining
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Comprehensive Review of Intelligent Laser Rust Removal Technology in Offshore Wind Power Operation and Maintenance

Shangzhi Liu, Yuantao Zhao, Y. M. Lai, Yongyun Wang et al.
Coatings
Erosion and Abrasive Machining
article

A Comprehensive Review of Intelligent Laser Rust Removal Technology in Offshore Wind Power Operation and Maintenance

Shangzhi Liu, Yuantao Zhao, Y. M. Lai, Yongyun Wang, Xingyu Liu, Zhizheng Wang, Yong Han, Liang Meng, Wenge Li, Xiancheng Rong
article en

Abstract

Corrosion difficulties have emerged as a key obstacle to the safe functioning of offshore wind turbine towers, prompting academics to focus on rust removal maintenance studies. Existing research focuses mostly on automated rust removal systems, which have limitations such as limited flexibility and poor performance. In contrast, intelligent laser rust removal has emerged as a revolutionary solution due to its great efficiency and environmental friendliness. As a result, this paper examines and summarizes the strengths and limits of laser rust removal research before presenting a new offshore wind power operation and maintenance solution—the drone-based intelligent laser rust removal system. This technology uses solar and wave energy coupling to power the drone, resulting in a completely green operation that includes power supply, rust removal, and corrosion avoidance. The results show that this system has major advantages, such as high efficiency, environmental friendliness, safety, and advanced intelligence, making it an efficient solution for intelligent operation and maintenance in the offshore wind power industry.

CoatingsVol. 16(1)
Anhui Special Equipment Inspection Institute (CN), Laser Research Institute (CN), Shanghai Nanotechnology Promotion Center (CN), Shanghai Maritime University (CN)
Openalex Percentile: Top 77%
Erosion and Abrasive Machining
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A Comprehensive Review of Intelligent Laser Rust Removal Technology in Offshore Wind Power Operation and Maintenance — Shangzhi Liu, Yuantao Zhao, et al. · Coatings (2025) | TGRS Research Map | TGRS