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  • 标题:Safety Electric Guard
  • 其他标题:安全用电卫士
  • 本地全文:下载
  • 作者:曹汉清 ; 陈 祥 ; 魏宇峰
  • 期刊名称:Computer Science and Application
  • 印刷版ISSN:2161-8801
  • 电子版ISSN:2161-881X
  • 出版年度:2020
  • 卷号:10
  • 期号:6
  • 页码:1286-1298
  • DOI:10.12677/CSA.2020.106133
  • 出版社:Hans Publishers
  • 摘要:分析已存在产品暴露的种种问题,设计出本系统。以配电柜作为节点提供基于物联网的数据感知与采集,提供云端系统平台作为数据存储与分析的服务中心,提供基于Android、IOS的智能手机应用程序;设计基于K-means的用电行为分析模型,建立用户画像;对业务总体用电状态进行判断、分类和统计。设计基于ANFIS的电气火灾智能预测模型,对统计的用电参数进行后台建模分析,根据分析结果对接企业生产自动化控制系统,利用IFTTT技术进行智能联动,提供拓扑图可视化实时监测,及时预测并处理电气火灾的发生,保障电气安全。 In this system, the distribution cabinet is used as the node to provide data perception and collection based on the Internet of things, the cloud system platform is used as the service center for data storage and analysis, and smart phone applications based on Android and IOS are provided; the K-means based power consumption behavior analysis model is designed, the user profile is established, and the overall power consumption status of the business is judged, classified and counted. The intelligent prediction model of electrical fire based on ANFIS is designed, the statistical power consumption parameters are modeled and analyzed in the background, the production automation control system of the enterprise is connected according to the analysis results, the intelligent linkage is carried out by using IFTTT technology, the visualized real-time monitoring of topology map is provided, the occurrence of electrical fire is predicted and handled in time, and the electrical safety is guaranteed.
  • 关键词:物联网 ;大数据 ;人工智能 ;K-Means模型 ;ANFIS模型 ;Internet of Things ;Big Data ;Artificial Intelligence ;K-Means Model ;ANFIS Model
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