摘要
在积极建设能源节约型社会的今天,减少家庭用电浪费现象至关重要。经调研发现,家庭用电浪费现象主要是用户在不经意间造成的,同时现有的节能系统缺乏对用电浪费现象进行自动纠正的功能。项目组设计出家庭用电智能控制与节能评估管理系统,可智能化地纠正用电浪费现象和改善用户用电习惯。本系统通过对常用家电进行组网,实现了远程控制电器电源通断及在线监测用电信息等基础功能。在软件上,创新性地设计应用基于BP神经网络的家电监控算法,通过对家庭用电数据进行分析,得出造成用电浪费现象的原因并自适应生成节能策略,改善用户用电习惯。
It is essential to reduce household electricity waste in the actively construction of energy-saving society today.According to a research,the waste is mainly caused by users who use household electricity inadvertently and the existing energy systems lack the correction function of electricity waste automatic at the same time.For this reason,the project team designed the intelligent control of household electricity and energy conservation assessment management system to intelligently correct waste electricity and improve the electricity habits of users.After networking the system of common household appliances,it＇ s able to control on and off of electrical power remotely and monitor the information of power of and achieve other basic functions.In software,we designed an innovative application based on BP neural network.Analyzing the data of household electricity,we got the reason of waste and make adaptive energy-saving strategies to improve electricity user habits.
出处
《变频器世界》
2016年第6期65-68,共4页
The World of Inverters
关键词
智能控制
节能评估
BP神经监控算法
用电习惯
Intelligent control
Energy assessment
BP neural monitoring algorithm
Electricity habit
