Key Technologies and Development Trends in Intelligent Operation and Maintenance for Deep and Far-Offshore Wind Power

Nan Zhou

doi:10.47297/taposatWSP2633-456915.20260708

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Key Technologies and Development Trends in Intelligent Operation and Maintenance for Deep and Far-Offshore Wind Power

7卷第8期

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Key Technologies and Development Trends in Intelligent Operation and Maintenance for Deep and Far-Offshore Wind Power
Key Technologies and Development Trends in Intelligent Operation and Maintenance for Deep and Far-Offshore Wind Power
Jiangsu Longyuan Wind Power Technology Training Co., Ltd., Nantong, Jiangsu, 226000, China
2026年7卷第8期页码：76-80
纸质出版：2026-08-30
DOI：10.47297/taposatWSP2633-456915.20260708
Accepted：

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Nan Zhou. (2026). Key Technologies and Development Trends in Intelligent Operation and Maintenance for Deep and Far-Offshore Wind Power. 科技理论与实践（英文版）, 7(8), 76-80.

Zhou Nan.Key Technologies and Development Trends in Intelligent Operation and Maintenance for Deep and Far-Offshore Wind Power[J].Theory and Practice of Science and Technology,2026,07(08):76-80.
Nan Zhou. (2026). Key Technologies and Development Trends in Intelligent Operation and Maintenance for Deep and Far-Offshore Wind Power. 科技理论与实践（英文版）, 7(8), 76-80. DOI： 10.47297/taposatWSP2633-456915.20260708.

Zhou Nan.Key Technologies and Development Trends in Intelligent Operation and Maintenance for Deep and Far-Offshore Wind Power[J].Theory and Practice of Science and Technology,2026,07(08):76-80. DOI： 10.47297/taposatWSP2633-456915.20260708.

摘要

Abstract

Deep and far-offshore wind farms face long transit distances

narrow weather windows

large components

floating-system coupling

and restricted communications. This paper reviews an intelligent operation and maintenance (O&M) framework linking multi-source sensing

data governance

artificial-intelligence diagnosis

digital twins

remaining useful life prediction

robotic inspection

and resource scheduling. Reliable deployment requires data quality

uncertainty reporting

maintenance feedback

access forecasting

and safe fallback. A staged pathway progresses from asset semantics and condition diagnosis to risk-based planning

digital twins

and supervised uncrewed systems. The framework can reduce unplanned downtime and offshore personnel exposure while retaining human oversight.

关键词

Keywords

references

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