电声技术2024,Vol.48Issue(10) :32-35.DOI:10.16311/j.audioe.2024.10.008

基于数字音频的LED显示屏运维数据识别技术

Digital Audio-Based LED Display Operation and Maintenance Data Recognition Technology

李昆
电声技术2024,Vol.48Issue(10) :32-35.DOI:10.16311/j.audioe.2024.10.008

基于数字音频的LED显示屏运维数据识别技术

Digital Audio-Based LED Display Operation and Maintenance Data Recognition Technology

李昆1
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作者信息

  • 1. 中广电广播电影电视设计研究院有限公司,北京 100045
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摘要

数字音频技术和发光二极管(Light Emitting Diode,LED)显示屏在现代社会中得到广泛应用,而对于LED显示屏的运维数据识别技术的研究日益受到关注.探讨基于数字音频的LED显示屏运维数据识别技术,以提高LED显示屏的运维效率和数据处理能力.首先,分析数字音频在LED显示屏监控中的重要性,探讨数字音频对LED显示屏故障诊断和性能监测的价值.其次,预处理数字音频,提出基于梅尔频率倒谱系数的数字音频特征提取方法.再次,提出一种基于注意力机制的端到端数字音频识别算法.最后,通过实验验证识别技术的有效性和实用性.结果表明,该技术能够有效地识别LED显示屏的各项数据,并对其状态和运行情况进行准确分析,为LED显示屏的运维工作提供重要的参考依据.

Abstract

Digital audio technology and Light Emitting Diode(LED)display are widely used in modern society,and the research on the operation and maintenance data recognition technology of LED display has attracted increasing attention.In order to improve the operation and maintenance efficiency and data processing capability of LED display,this paper discusses the identification technology of LED display operation and maintenance data based on digital audio.Firstly,the importance of digital audio in LED display monitoring is analyzed,and the value of digital audio in LED display fault diagnosis and performance monitoring is discussed.Secondly,a feature extraction method based on Mel frequency cepstrum coefficient is proposed for pre-processing digital audio.Thirdly,an end-to-end digital audio recognition algorithm based on attention mechanism is proposed.Finally,the validity and practicability of the identification technology are verified by experiments.The results show that the technology can effectively identify the data of LED display,and accurately analyze its status and operation,which provides an important reference for the operation and maintenance of LED display.

关键词

数字音频/发光二极管(LED)/运维数据/自注意力机制

Key words

digital audio/Light Emitting Diode(LED)/operation and maintenance data/self-attention mechanism

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出版年

2024
电声技术
电视电声研究所(中国电子科技集团公司第三研究所)

电声技术

影响因子:0.259
ISSN:1002-8684
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