基于无感识别技术的工器具智能分类系统设计
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引用本文:常 荣 ,陈运忠,刘婉媛,李亚东.基于无感识别技术的工器具智能分类系统设计[J].计算技术与自动化,2022,(3):142-147
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常 荣 ,陈运忠,刘婉媛,李亚东 (云南电网有限责任公司玉溪供电局云南 玉溪 653100) 
中文摘要:基于无感识别技术、物联网技术和云计算平台,构建了面向电力企业的物联网系统架构,结合云计算平台,设计了一款电力企业工器具智能分类系统。该系统基于无线射频识别技术(Radio Frequency Identification technology, RFID),将电子标签作为自动识别装置的工器具分类手段。工器具的数据在经过自动识别装置进行读取之后转入云计算平台进行大数据匹配,从而实现工器具的智能分类和管理。本文所设计的工器具智能分类系统在很大程度上解决了工器具在数据读取、状态诊断和智能分类管理上的问题,杜绝了电力企业中的各种安全管理问题,在完善工器具智能分类和电力企业智能管理方面有着重要意义和参考价值。
中文关键词:无感识别  工器具智能分类  云计算  物联网  无线射频识别技术(RFID)
 
Design of Intelligent Classification System for Tools and Instruments Based on Non-inductive Recognition Technology
Abstract:Based on the Non-inductive recognition technology, The Internet of Things technology and the cloud computing platform, this paper constructed an Internet of Things system architecture for electric power enterprises, and combined the cloud computing platform to design an intelligent classification system for electric power enterprises' tools and appliances. The system was based on radio frequency identification technology (RFID), using electronic tags as a means of classifying tools and instruments for automatic identification devices. After reading the data of the tools and instruments through the automatic identification device, they were transferred to the cloud computing platform for big data matching, so as to realize the intelligent classification and management of the tools and instruments. The intelligent classification system for tools and designed largely solved the problems of data reading, status diagnosis and intelligent classification management of tools and instruments, eliminated various safety management problems in power enterprises, and had important significance and reference value in improving the intelligent classification of tools and instruments and the intelligent management of power enterprises.
keywords:non-inductive recognition  intelligent classification of tools and instruments  cloud computing  Internet of Things  radio frequency identification technology (RFID)
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