基于多源数据融合的工业电气设备在线监测研究  

Research on on-Line Monitoring of Industrial Electrical Equipment Based on Multi-Source Data Fusion

作　　者：肖海龙 XIAO Hailong(Shanghai Morimatsu Biotechnology Co.,Ltd.,Shanghai 201323,China)

机构地区：[1]上海森松生物科技有限公司,上海201323

出　　处：《通信电源技术》2023年第3期13-16,共4页Telecom Power Technology

摘　　要：为精准检测带电导体的运行电压与运行电流,实现对工业电气设备的实时在线监测,针对基于多源数据融合的工业电气设备在线监测方法展开研究。根据多源数据融合原理,设置决策树组织与神经性网络,联合带电导体运行信息,计算运行数据评价指标的具体数值,完成对工业电气设备多源运行数据的融合处理。确定接收端设备的连接方式,通过求解电气互感系数的方式确定导体设备的电子实时损耗量,实现基于多源数据融合的工业电气设备在线监测方法的设计。实验结果表明,多源数据融合技术的作用下,运行电压的精准检测数值为36 V、运行电流的精准检测数值为4.7 A,与理想化电压、电流之间的差值水平较低,符合实时监测工业电气设备的设计初衷。In order to accurately detect the operating voltage and current of live conductors and realize the real-time on-line monitoring of industrial electrical equipment,the on line monitoring method of industrial electrical equipment based on multi-source data fusion was studied.According to the principle of multi-source data fusion,the decision tree organization and neural network are set,the operation information of live conductor is combined,and the specific value of the evaluation index of the operation data is calculated to complete the fusion processing of multi-source operation data of industrial electrical equipment.Determine the connection mode of the receiving device,determine the real-time electronic loss of the conductor device by solving the electrical mutual inductance coefficient,and realize the design of the industrial electrical equipment on-line monitoring method based on multi-source data fusion.The experimental results show that under the multi-source data fusion technology,the accurate detection value of the operating voltage is 36 V and the accurate detection value of the operating current is 4.7 A,and the difference level between the ideal voltage and current is low,which conforms to the original design intention of the real-time monitoring industrial electrical equipment.

关 键 词：多源数据融合 工业电气设备 在线监测 决策树 神经网络 

分 类 号：TM50[电气工程—电器] TP274[自动化与计算机技术—检测技术与自动化装置]