恶性负载智能识别方法研究  

Research on Intelligent Recognition Method of Unsafe Load

作　　者：赵万欣[1] 陈思屹[1] 吕维[1] 

机构地区：[1]西南科技大学信息工程学院,四川绵阳621000

出　　处：《科技广场》2014年第3期48-50,共3页Science Mosaic

摘　　要：本文针对宿舍安全用电提出了一种恶性负载智能识别的方法,通过相应的传感器元件进行电量采集并记录数据,送到单片机处理,根据功率因素cosφ的值是否大于0.75来判断是否为恶性负载。若检测到是恶性负载,微处理器先记录,经过多次确认识别后发出报警信号提示,如果20秒钟后恶性负载还没有消除则系统自动切断电源,只能通过手动复位或者是10分钟未检测到恶性负载系统自动复位恢复正常供电。This paper puts forward a method to intelligently recognize an unsafe load for dormitory security. By collecting the amount of electricity and recording data through corresponding sensor elements, the single-chip manages the data and determines whether it is unsafe based on the value of the power factor that cosφis greater than 0.75. If it is unsafe, the microprocessor records it first, and then prompt warning signal after confirming the unsafety for several times. A 20-second warning leads to an automatic power-off. The power supply can be re-sumed manually or automatically only when the unsafe load cannot be detected within 10 minutes.

关 键 词：恶性负载 安全用电 单片机 智能识别 

分 类 号：TM762[电气工程—电力系统及自动化]