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作 者:叶萌 孙菲 张亚如 YE Meng;SUN Fei;ZHANG Yaru(Xinjiang Agricultural Vocational and Technical University,Changji,Xinjiang Uygur Autonomous Region,831100 China;Xinjiang University of Finance and Economics,Urumqi,Xinjiang Uygur Autonomous Region,830000 China)
机构地区:[1]新疆农业职业技术大学,新疆昌吉831100 [2]新疆财经大学,新疆乌鲁木齐830000
出 处:《科技资讯》2025年第1期36-38,共3页Science & Technology Information
摘 要:传统的通信电源监控系统在实际进行数据采集时不仅耗时较多,还在准确率方面存在着较多缺陷。为此,需要将人工智能技术融入其中,结合实际需求细化通信电源监控数据采集流程与内容,进而保证此类系统的运行效果。简述了融合人工智能的常见通信电源监控数据采集方式,并基于对其系统架构的分析,从硬件与软件两个角度出发,阐述了基于人工智能的通信电源监控数据采集系统的设计要点,希望能够为通信电源设计与使用提供一些帮助。Traditional communication power monitoring systems not only consume a lot of time in actual data collection,but also have many shortcomings in ensuring accuracy.Therefore,it is necessary to integrate artificial intelligence technology into it,and refine the data collection process and content of communication power monitoring by combining it with practical needs,in order to ensure the operational effectiveness of such systems.This article briefly describes the common communication power supply monitoring data collection methods that integrate artificial intelligence,and based on the analysis of its system architecture,it elaborates on the design points of a communication power supply monitoring data collection system based on artificial intelligence from both hardware and software perspectives,hoping to provide some help for the design and use of communication power supplies.
分 类 号:TP311[自动化与计算机技术—计算机软件与理论]
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