Xi’an Jiaotong University,School of Electrical Engineering,The State Key Laboratory of Electrical Insulation and Power Equipment

矿用电机由于负载大、工作环境恶劣等原因,导致其故障频发,严重影响煤矿企业的稳定生产。电机故障又多为突发状况,导致电机故障往往难以及时发现。为帮助掌握电机运行状态,保障电机安全稳定运行,针对现有电机监测系统设计与功能的不足,以矿用电机为对象,设计了一套矿用电机远程智能在线监测系统。分析了电机分布式远程智能监测系统的需求,设计系统的整体方案,包含嵌入式电机在线监测系统、故障诊断系统以及数据可视化平台3部分。嵌入式电机在线监测系统采用基于嵌入式的电路实现电机电压、电流以及主要部位温度数据的检测,当系统运行数据超限时,及时启动保护,从而防止电机损坏。系统集成了显示屏、内部存储芯片和数据接口,以实现电机各类数据的显示、存储与发送。故障诊断系统通过结合电机故障特征的数据与支持向量机(SVM)法,建立电机匝间短路故障诊断模型。模型能通过电机运行数据诊断电机是否出现匝间短路故障,以便在电机彻底损坏前采取相应措施,减少因设备损坏与停机造成的损失。数据可视化平台采用Web应用的方式搭建在远程服务器上搭。平台通过互联网与嵌入式电机监测系统通信,在实现电机运行数据云备份的同时,实现电机状态的实时监测与故障诊断。

Mining motors are subject to frequent failures due to large loads and harsh working environments,which se⁃riously affect the stable production of coal mining enterprises. Motor failures are mostly sudden, making themdifficult to detect in time. In order to help grasp the motor operating status and ensure the safe and stable operationof the motor,a remote intelligent online monitoring system for mining motors is designed for the need for the exist⁃ing motor monitoring system design and function. The requirements of the distributed remote intelligent monitoring sys⁃tem for motors are analyzed,and the overall scheme of the system is designed,which contains three parts:the embed⁃ded motoronlinemonitoringsystem, thefaultdiagnosissystemandthedatavisualizationplatform.Theembedded motor online monitoring system uses embedded⁃based circuitry to detect the main parts’motor voltage,cur⁃rent and temperature data,and to start timely protection when the system operation data exceeds the limit,thus preven⁃ting motor damage. The system integrates a display,an internal memory chip,and a data interface to display,store andsend all kinds of motor data. The fault diagnosis system establishes a motor turn⁃to⁃turn short circuit fault diagno⁃sis model by combining data on motor fault characteristics with the support vector machine ( SVM) method.The model can diagnose whether the motor has an inter⁃turn short⁃circuit fault by using the motor operation dataso that corresponding measures can be taken before the motor is completely damaged to reduce the loss caused by e⁃quipment damage and downtime. The data visualization platform is built on a remote server using a Web application.The platform communicates with the embedded motor monitoring system through the Internet and realizes real⁃time mo⁃nitoring and fault diagnosis of motor status while realizing cloud backup of motor operation data.

陕西省重点研发计划-国际科技合作计划资助项目(2019KW-010)

薛霜思,曹晖,贾立新,等. 矿用电机分布式远程智能在线监测系统设计[ J].煤炭学报,2023,48( S1):368-380.

XUE Shuangsi,CAO Hui,JIA Lixin. Design of distributed remote intelligent online monitoring system for min⁃ing motors[J]. Journal of China Coal Society,2023,48(S1):368-380