基于可穿戴設(shè)備感知的智能家居能源優(yōu)化
發(fā)布時(shí)間:2018-01-13 01:27
本文關(guān)鍵詞:基于可穿戴設(shè)備感知的智能家居能源優(yōu)化 出處:《計(jì)算機(jī)研究與發(fā)展》2016年03期 論文類型:期刊論文
更多相關(guān)文章: 智能家居 能源優(yōu)化 用戶行為分析 可穿戴設(shè)備 智能電網(wǎng)
【摘要】:智能家居能源優(yōu)化作為智能電網(wǎng)在居民側(cè)的延伸是智能家居領(lǐng)域的重要分支.智能家居能源優(yōu)化的目標(biāo)是通過(guò)優(yōu)化調(diào)度家居用電設(shè)備,滿足用戶的舒適需求和降低用電費(fèi)用.其中,用戶舒適度與人的行為密切相關(guān),具有很強(qiáng)的主觀性和不確定性,對(duì)用戶行為及舒適度需求的分析是智能家居能源管理系統(tǒng)中的難點(diǎn).因此提出了一種基于可穿戴設(shè)備傳感數(shù)據(jù)分析的智能家居能源優(yōu)化方法,主要包括:基于可穿戴設(shè)備傳感器數(shù)據(jù)實(shí)時(shí)分析用戶行為;利用神經(jīng)網(wǎng)絡(luò)建立用戶行為到舒適度需求的映射,更新用戶的舒適度需求;建立家居系統(tǒng)動(dòng)態(tài)模型,并基于智能家居環(huán)境傳感器數(shù)據(jù)對(duì)模型參數(shù)進(jìn)行動(dòng)態(tài)估計(jì);提出基于模型預(yù)測(cè)控制(model predictive control,MPC)的智能家居能源優(yōu)化求解方法.同時(shí)開(kāi)發(fā)了智能家居能源優(yōu)化的原型系統(tǒng),通過(guò)搭建的智能家居實(shí)驗(yàn)平臺(tái),設(shè)計(jì)了4種典型用戶行為情景,驗(yàn)證了所提方法對(duì)智能家居經(jīng)濟(jì)性和舒適性的提升.
[Abstract]:Intelligent optimization Home Furnishing energy smart grid as extending in the side of the residents is an important branch of intelligent Home Furnishing field. The purpose of intelligent Home Furnishing energy optimization by optimizing the scheduling Home Furnishing electric equipment to meet the user's demand of comfort and reduce electricity costs. Among them, the user comfort and human behavior is closely related with strong subjectivity and uncertainty analysis of user behavior and comfort needs is the difficulty of intelligent energy management system Home Furnishing. This paper presents an energy optimization method of intelligent Home Furnishing analysis sensor data based on wearable devices, mainly including: user behavior analysis of real-time sensor data based on wearable devices built by neural network; user behavior mapping comfort needs and comfort needs updating users; the establishment of Home Furnishing system dynamic model, and based on the model reference Home Furnishing intelligent sensor data environment The number of dynamic estimation; put forward based on the model predictive control (model predictive control, MPC) method Home Furnishing intelligent energy optimization. At the same time, the development of a prototype system of intelligent Home Furnishing energy optimization, through the intelligent Home Furnishing experimental platform, designed 4 kinds of typical user behavior scenarios, the proposed method is validated on the intelligent Home Furnishing economy and comfort.
【作者單位】: 智能網(wǎng)絡(luò)與網(wǎng)絡(luò)安全教育部重點(diǎn)實(shí)驗(yàn)室(西安交通大學(xué));機(jī)械制造系統(tǒng)工程國(guó)家重點(diǎn)實(shí)驗(yàn)室(西安交通大學(xué));加州大學(xué)伯克利分校伯克利教育聯(lián)盟新加坡研究所;
【基金】:國(guó)家自然科學(xué)基金項(xiàng)目(61473218,61221063,U1301254) 國(guó)家“八六三”高技術(shù)研究發(fā)展計(jì)劃基金項(xiàng)目(2012AA011003)~~
【分類號(hào)】:TU855;TP212.9
【正文快照】: Smart Home Energy Optimization Based on Cognition of Wearable Devices SensorDataChen Siyun1,Liu Ting1,Shen Chao1,Su Man1,Gao Feng2,Xu Zhanbo3,Shi Jiayue1,and Jia Zhanpei 11(Key Laboratory for Intelligent Networks and Network Security(Xi,
本文編號(hào):1416871
本文鏈接:http://sikaile.net/kejilunwen/zidonghuakongzhilunwen/1416871.html
最近更新
教材專著