Design of Intelligent Electricity Meter System for Student's Dormitory Based on Neural Networks

被引：0

作者：

Liu Ningning ^{[1
]}

Su Xing ^{[2
]}

Yu Wanhai ^{[3
]}

Liu Jianhua ^{[1
]}

机构：

[1] Shijiazhuang Railway Inst, Dept Elect Engn, Shijiazhuang, Peoples R China

[2] Northwest Univ Nationalities, Lanzhou, Peoples R China

[3] Xingtai Technol Inst, Dept Automot Engn, Xingtai, Peoples R China

来源：

PROCEEDINGS OF 2009 CONFERENCE ON COMMUNICATION FACULTY | 2009年

关键词：

fast Fourier transform; recognizing the electric appliances; illegal electric appliances;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The intelligent metering system analyzes the voltage and current wave of electrical appliances used in the apartment of student with Fast Fourier Transform, and then identifies high-power load and computer, prevents the students from violating electric power regulations. It can also meet special requirements of electricity management for students' dorm, such as overload judgment, illegal electric appliances identification, timing on and off, remote control, etc.

引用

页码：225 / +

页数：2