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Work item:
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F.AI-RFSSMA
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Subject/title:
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Requirements and framework of sound signal management and analysis based on artificial intelligence technology for electric equipment
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Status:
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Under study [Issued from previous study period]
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Approval process:
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TAP
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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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2026 (Medium priority)
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Liaison:
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ITU-T SG20, ISO/IEC JTC1 SC42
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Supporting members:
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SGCC, BUPT, China Telecom, MIIT
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Summary:
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This document contains output text of draft new Recommendation "Requirements and framework of sound signal management and analysis based on artificial intelligence technology for electric equipment". The electric equipment sound signal contains rich information, it can helps to address dual challenges of operational safety and high real-time performance of electric equipment. This document proposes requirements of sound signal management and analysis based on artificial intelligence technology to effectively manage and analyse sound signal of electric equipment, and ensure the operation safety of electric equipment in real time and accurately. Requirements such as network traffic, resource utilization, security and AI analysis model are described for sound signal management and analysis.
This document specifies requirements of sound signal management and analysis for electric equipment which can be used for remote online monitoring of electric equipment to relieve the workload of front-line operation and maintenance personnel and improve the intelligence level of power industry.
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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:
2023-08-22 15:16:53
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Last update:
2025-03-18 17:00:05
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