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作 者:杨庆伟 YANG Qingwei(Caofeidian Port West Port Terminal Co.,Ltd.,Tangshan 063200,China)
机构地区:[1]曹妃甸港西港码头有限公司,河北唐山063200
出 处:《电声技术》2025年第2期49-51,共3页Audio Engineering
摘 要:随着港口自动化和智能化的发展,设备的高效运行与维护成为关键。重点探讨声音提示技术在港口设备状态监测中的应用,通过声音信号的采集、处理、分析,结合机器学习算法,实现了设备异常预警、效率评估与优化、智能化维护决策支持等功能。研究表明,声音提示技术能够显著提升港口设备的运行可靠性与维护效率,为港口的高质量发展提供有力的技术支撑。With the development of port automation and intelligence,efficient operation and maintenance of equipment has become the key.This paper focuses on the application of sound prompt technology in port equipment condition monitoring.Through the collection,processing and analysis of sound signals,combined with machine learning algorithm,the functions of equipment abnormality early warning,efficiency evaluation and optimization,intelligent maintenance decision support and so on are realized.The research shows that the sound prompt technology can significantly improve the operation reliability and maintenance efficiency of port equipment,and provide strong technical support for the high-quality development of the port.
分 类 号:TP3[自动化与计算机技术—计算机科学与技术]
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