建筑电能耗无线监测平台设计

Design of Wireless Monitoring and Management Platform of Building Electric Energy Consumption

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。

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.