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作 者:马丽梅 努热力 刘静 MA Limei;NU Reli;LIU Jing(Turpan Power Supply Company,State Grid Xinjiang Electric Power Co.,Ltd.,Turpan,Xinjiang 838000,China)
机构地区:[1]国网新疆电力有限公司吐鲁番供电公司,新疆吐鲁番838000
出 处:《计算机应用文摘》2025年第3期109-111,共3页
摘 要:为了提高通信电源的数据信息采集管理效率,文章将大数据算法引入信息采集管理平台设计,开发了基于移动端的通信电源信息采集管理系统,围绕系统需求、设计架构及功能模块,成功实现了通信电源数据采集、移动端远程管理、故障诊断预警等功能。对于电源数据信息,该系统使用分类算法对不同信息进行分类,根据决策树模型计算各属性权重,将权重引入分类算法,提升了通信电源信息的分类精度。此外,系统制定了移动端信息快速分类查询及健康度分析机制,实现了通信电源信息的智能化采集与管理。测试结果显示,该系统在通信电源数据信息的分类精度上有了显著提升,相较于传统的数据采集管理方式,基于移动端的智能化信息采集管理效率提高约15%。In order to improve the efficiency of data collection and management of communication power supplies,this article introduces big data algorithms into the design of an information collection and management platform,and develops a mobile based communication power supply information collection and management system.Based on system requirements,design architecture,and functional modules,the system successfully realizes functions such as communication power supply data collection,remote management of mobile terminals,and fault diagnosis and warning.For power data information,the system uses classification algorithms to classify different information,calculates the weights of each attribute based on the decision tree model,and introduces the weights into the classification algorithm to improve the classification accuracy of communication power information.In addition,the system has developed a mechanism for rapid classification and query of mobile information,as well as health analysis,to achieve intelligent collection and management of communication power information.The test results show that the system has significantly improved the classification accuracy of communication power data information.Compared with traditional data collection and management methods,the efficiency of intelligent information collection and management based on mobile devices has increased by about 15%.
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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