建筑节能
建築節能
건축절능
Building Energy EFFICIENCY
2015年
10期
80-84
,共5页
建筑能耗%能耗监测%信息%BP 神经网络%电能耗预测模型%Wi-Fi 技术%LabVIEW
建築能耗%能耗鑑測%信息%BP 神經網絡%電能耗預測模型%Wi-Fi 技術%LabVIEW
건축능모%능모감측%신식%BP 신경망락%전능모예측모형%Wi-Fi 기술%LabVIEW
building energy consumption%energy consumption monitoring%information%BP neural network%electric energy consumption model%Wi-Fi technology%LabVIEW
提出了一种基于 Wi-Fi 技术的楼宇无线监测与管理系统。通过改进 Levenberg-Marquardt 训练算法的 BP 神经网络对建筑电能耗进行建模，采用 LabVIEW 开发平台，设计良好的人机交换界面，实时监测楼宇电能四项分类能耗，同时通过能耗模型对电能耗进行预测，为楼宇的运行管理提供用能定额方案和科学依据。通过测试及分析，结果显示能耗模型预测精度高、稳定，整个系统运行良好、实时性强。
提齣瞭一種基于 Wi-Fi 技術的樓宇無線鑑測與管理繫統。通過改進 Levenberg-Marquardt 訓練算法的 BP 神經網絡對建築電能耗進行建模，採用 LabVIEW 開髮平檯，設計良好的人機交換界麵，實時鑑測樓宇電能四項分類能耗，同時通過能耗模型對電能耗進行預測，為樓宇的運行管理提供用能定額方案和科學依據。通過測試及分析，結果顯示能耗模型預測精度高、穩定，整箇繫統運行良好、實時性彊。
제출료일충기우 Wi-Fi 기술적루우무선감측여관리계통。통과개진 Levenberg-Marquardt 훈련산법적 BP 신경망락대건축전능모진행건모，채용 LabVIEW 개발평태，설계량호적인궤교환계면，실시감측루우전능사항분류능모，동시통과능모모형대전능모진행예측，위루우적운행관리제공용능정액방안화과학의거。통과측시급분석，결과현시능모모형예측정도고、은정，정개계통운행량호、실시성강。
This article proposed a kind of platform based on Wi-Fi technology which used to monitor and manage building electric energy consumption. In this platform, electric energy consumption was built by a BP neural network in which the Levenberg-Marqurdt training algorithm was improved, and a friendly interface to realize human -computer exchange was designed with LabVIEW development platform to monitor real -time building energy consumption and predict electricity consumption by electric energy consumption model, so the energy quota scheme and scientific basis can be provided for the operation and management of building. Through the detecting and analyzing, the electric energy consumption model is accurate and stably, and the whole system runs well and has strong real-time ability.
