人工智能对通信电源监控数据采集方法的影响研究
Research on the Impact of Artificial Intelligence on Data Collection Methods for Communication Power Supply Monitoring
刘西安 1李孟恩1
作者信息
- 1. 徐州三新供电服务有限公司邳州分公司,江苏 徐州 221300
- 折叠
摘要
在如今的信息化、智能化的社会背景下,通信领域的发展也随着技术的进步而不断创新.将人工智能技术应用于通信电源监控数据采集领域,能够显著提升通信电源监控数据采集的效率与准确性.基于此,从传统通信电源监控数据采集方法的如低采样率和数据误差等局限性入手,探讨并详细阐述了一种基于人工智能的通信电源监控数据采集方法,强调了智能感知数据采集模块的设计、数字滤波算法和标度变换算法的应用.通过验证表明该方法相较于传统方法在采样率和准确度上得到了大幅提高.人工智能技术的应用为克服传统方法局限性、保障通信网络的稳定运行提供了坚实的技术支持,在通信电源监控数据采集领域中具有一定的潜力和应用价值.
Abstract
In the current context of informatization and intelligence,the development of the communication field is con-stantly innovating with the progress of technology.Applying artificial intelligence technology to the field of communication power monitoring data collection can significantly improve the efficiency and accuracy of communication power monitoring data collection.The article starts with the limitations of traditional communication power monitoring data collection meth-ods,such as low sampling rate and data error.Exploring and elaborating a communication power monitoring data acquisi-tion method based on artificial intelligence,emphasizing the design of intelligent perception data acquisition module,appli-cation of digital filtering algorithm and scale transformation algorithm.Verification has shown that this method has signifi-cantly improved sampling rate and accuracy compared to traditional methods.The application of artificial intelligence tech-nology provides solid technical support for overcoming the limitations of traditional methods and ensuring the stable opera-tion of communication networks.It has certain potential and application value in the field of communication power monito-ring data acquisition.
关键词
人工智能/通信电源监控/数据采集/通信技术/数字滤波算法/标度变换算法Key words
artificial intelligence/communication power monitoring/data collection/communication technology/digital filtering algorithm/scale transformation algorithm引用本文复制引用
出版年
2024
NETL
NSTL
万方数据