摘要
针对传统供电服务督检现场检查仪优化方法缺少对数据的分类融合处理,导致方法准确性较差的问题,提出基于大数据信息融合和物联网组网节点的供电服务督检现场检查仪优化设计,采用传感器融合识别方法,实现供电服务督检现场检查仪的大数据采集,通过对采集大数据的关联规则特征挖掘和信息识别,提取检查信息的关联特征量,采用物联网技术实现信息的分类检测和信息融合处理,基于嵌入式的物联网组网技术设计供电服务督检现场检查系统,结合模糊控制方法,实现供电服务督检现场检查仪优化设计,提高供电服务督检现场检查的自动化水平。仿真测试结果表明,采用该方法能有效检测到电压或电流谐波含量,检测有效性为97.65%,证明所提方法供电服务督检现场检查的智能性较好,能够应用在供电服务督检现场检查仪中,更好地实现供电服务督检现场检查仪的优化。
In view of the traditional power supply service overseers inspection field tester optimization methods lack for the classification of the data fusion processing,cause of the poor accuracy method,based on large data information fusion and Internet network node,power supply service overseers inspection field tester optimization design is proposed.Using sensor fusion recognition method,the power supply service overseers inspection field tester of data collection is realized,based on the characteristics of big data association rule mining and information recognition,the correlation characteristic of information is extracted and checked.The Internet of things technology is used to realize the classification of the information processing and information fusion,The field inspection system of power supply service supervision and inspection is designed based on the embedded Internet of things technology,and the optimized design of the field inspection instrument of power supply service supervision and inspection is realized by combining with the fuzzy control method,so as to improve the automation level of the field inspection of power supply service.Simulation test results show that the proposed method can effectively detect the content of voltage or current harmonic,and the detection effectiveness is 97.65%,which proves that the proposed method has better intelligence in on-site inspection of power supply service,and can be applied in the field inspection instrument of power supply service inspection,so as to better realize the optimization of the field inspection instrument of power supply service inspection.
作者
韦雅
张侃
李翼铭
叶雷
WEI Ya;ZHANG Kan;LI Yiming;YE Lei(State Grid Henan Service Center,Zhengzhou 450000,China;State Grid Henan Electric Power Company,Zhengzhou 450000,China)
出处
《自动化与仪器仪表》
2020年第3期188-191,共4页
Automation & Instrumentation
基金
国家自然科学基金(No.51001032)。
关键词
物联网技术
供电服务
督检现场检查仪
Internet of things technology
power supply service
inspection site inspection instrument