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基于LPWAN的电力数据采集系统设计 被引量:8

Design of power data acquisition system based on LPWAN
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摘要 针对电网运维管理向少人或无人值守模式发展的趋势,本文提出利用最新的物联网技术实现电力设备物联监控网的架构方案,突破单纯的传感监控,结合前端图像分类识别实现数据的测量与采集,填补了数据监控的一块盲区。该方案将物联网技术和信息化处理落实到生产应用中,依托LPWAN实现低能耗的远程物联监控,在实现实时监控及保障电力生产安全的同时,也为未来电网设备智能化运维提供宝贵的原始大数据。 Aiming at the development trend of power grid operation and maintenance management to few people or unattended mode,this paper puts forward the architecture scheme of power equipment IOT monitoring network using the latest Internet of things technology.The scheme breaks through the simple sensor monitoring and combines the front-end image classification and recognition to realize the data collection,and fills the blind area of the data.It implements the Internet of things technology and information processing into production applications,relying on LPWAN to achieve low energy consumption remote monitoring of things.The application of intelligent recognition,image classification and sampling combined with front lighting separation linkage control,aiming at complex problem to identify the types of meter scale practical power production,the networking technology and information processing to implement the production application,relying on LPWAN to realize remote measurement of low energy consumption combined monitoring program.Not only real-time monitoring and protection of power production safety,but also for the future intelligent operation and maintenance of power grid equipment to provide valuable original big data.
作者 陶莉 刘景祥 朱小光 Tao Li;Liu Jingxiang;Zhu Xiaoguang(Dept.of Electric Engineering Nanjing Institute of Technology,Nanjing 211167;Yancheng power supply company,Yancheng,Jiangsu 224005;ZTE,Nanjing 210012)
出处 《电气技术》 2018年第8期95-100,共6页 Electrical Engineering
基金 江苏省科技厅产学研合作项目(BY2016008-01) 国网江苏省电力公司科技项目(SGTYHT/16-JS-200)
关键词 低功耗广域物联网 数据采集 智能变电站 图像分类 前端智能识别 LPWAN data acquisition smart substation image classification front-end intelligent identification
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