摘要
针对传统电力无线单兵检测设备的实时估计能力低等问题,提出一种基于统计特征分析的电力无线单兵检测设备参数实时监测技术,通过对该设备参数进行实时监测,提高其性能监测和实时估计能力。采用无线传感器技术采集电力无线单兵检测设备参数实时数据,结合大数据统计特征分析方法对获得参数数据进行信息融合处理,并完成电力无线单兵检测设备参数实时统计,提取设备参数的谱特征量,通过时频分析和小波尺度分解方法,实现对电力无线单兵检测设备参数实时监测。实验结果表明,采用该方法监测电力无线单兵检测设备参数的实时估计能力高,稳定收敛性好,监测误差低。
Aiming at the problem of low real-time estimation ability of traditional electric power wireless soldier detection equipment,a real-time monitoring technology of electric power wireless soldier detection equipment parameters based on statistical feature analysis is proposed.Through real-time monitoring of the equipment parameters,the capability of performance monitoring and real-time estimation is improved.Wireless sensor technology is used to collect real-time data of parameters of power wireless individual soldier detection equipment.Combined with large data statistical feature analysis method,the obtained data are processed by information fusion.The real-time statistics of parameters of power wireless individual soldier detection equipment is completed,and the spectral characteristics of equipment parameters are extracted.Through time-frequency analysis and wavelet scale decomposition method.Real-time monitoring of equipment parameters of power wireless individual soldier detection is realized.The experimental results show that the method has high real-time estimation ability,good stability and convergence,and low monitoring error.
作者
叶远红
曾勇
勾清亮
何荣卜
YE Yuanhong;ZENG Yong;GOU Qingliang;HE Rongbu(Guizhou Power Grid Co.Ltd.,Liupanshui Guizhou 553001,China)
出处
《自动化与仪器仪表》
2020年第3期205-208,共4页
Automation & Instrumentation
基金
南方电网网级决策项目:“基于单兵智能视觉系统的电力巡检方案的研究”资助(No.060200KK52170024)。
关键词
电力
无线
单兵检测设备
实时监测
power
wireless
individual soldier detection equipment
real-time monitoring
