语音识别控制技术在风电场运行中的应用

2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA) Pub Date : 2022-10-28 DOI:10.1109/ICDSCA56264.2022.9987986

Yejun Qu, Yafei Sun, Junyan Liu, Zengye Fu, Qian Sun

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引用次数: 0

摘要

本文设计了一个基于语音识别、风电设备信息采集模块、信息处理单元、中控室监控系统、移动监控系统和远程终端监控系统的风电设备运行监控平台。与目前的技术水平相比，新系统解决的监测终端与风电机组运行监测设备之间的交互效率相对较弱，特别是诊断人员获得的数据交互效率相对较小。交互效率的降低最终会导致风电设备运行保障质量的问题。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Application of voice recognition control technology in wind power field operation

This paper designs a wind power equipment operation monitoring platform based on speech recognition, wind power equipment information collection module, information processing unit, central control room monitoring system, mobile monitoring system and remote terminal monitoring system. Compared with the current technical level, the interaction efficiency between the monitoring terminal and the wind turbine operation monitoring equipment solved by the new system is relatively weak, especially the interaction efficiency of the data obtained by the diagnostic personnel is relatively small. The reduction of interaction efficiency will eventually lead to the problem of the quality of wind power equipment operation guarantee.

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来源期刊

2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA)

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