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Work item:
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F.CVADS-arch
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Subject/title:
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Functional architecture for computer vision-based anomaly detection service in wind farm
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Status:
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Under study
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Approval process:
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AAP
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Type of work item:
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Recommendation
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Version:
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New
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Equivalent number:
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-
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Timing:
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2028 (Medium priority)
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Liaison:
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-
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Supporting members:
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State Grid Corporation of China, Chongqing University of Posts and Telecommunications, China Telecommunications Corporation
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Summary:
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The global transition toward sustainable energy has led to the rapid, large-scale expansion of wind power into remote and offshore environments, where traditional manual inspection is increasingly time-consuming, labor-intensive, and inefficient. While computer vision (CV) is increasingly adopted, the industry lacks a systematic functional architecture. These gaps result in high integration costs and constrained cross-vendor system integration. To ensure the high-precision, real-time identification of critical risks and the seamless integration of intelligent monitoring technologies, it is imperative to establish a standardized functional architecture that specifies the functional entities and reference points.
This draft Recommendation is based on ITU-T F.743.33 Recommendation’s defined requirements and reference framework. It specifies the functional architecture, describes functional entities, and reference points.
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Comment:
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-
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Reference(s):
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Historic references:
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Contact(s):
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| ITU-T A.5 justification(s): |
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First registration in the WP:
2026-05-13 10:35:32
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Last update:
2026-05-13 10:41:43
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