基于物联网的建筑智能用电策略研究

发布时间：2018-03-08 09:17

本文选题：建筑智能用电　切入点：WiFi　出处：《山东建筑大学》2017年硕士论文　论文类型：学位论文

【摘要】：物联网技术的快速发展与应用不仅改变了人们的生活方式,而且提供了一种解决能源短缺问题的方法。目前,我国建筑能耗总量正在逐年增长,减少建筑能耗是节约能源的方法之一。基于物联网技术的建筑智能用电系统不仅可以进行室内环境的实时监控,而且还能够对室内用电设备进行控制,在创建一个舒适的居住环境的同时管控房间用电量。本文主要阐述了建筑智能用电系统的组成及其控制策略的实现。建筑智能用电系统主要由硬件平台和软件平台两部分组成。硬件平台由房间控制器,监控中心,智能网关与房间信息采集模块等部分组成。房间控制器与室内的各个传感器组成WiFi网络,负责对采集的室内信息进行房间信息汇总,之后将获得房间信息经由ZigBee网络上传网关,从而实现监控中心对各个房间的监控。监控中心软件、房间控制器软件和云服务端组成了系统的软件平台。监控中心软件是建筑智能用电系统平台的主体部分,使用SQL SERVER数据库存储数据并用Visual Studio平台的C#编程语言编写。房间控制器为Android系统,采用Java语言编写。监控中心软件可实现查看各个房间的实时数据,历史数据,改变房间策略等操作。同时监控中心服务器还与Internet网络相连,用户能够通过手机登录监控中心,输入账号密码后进入界面后,可进行远程操作。智能用电策略的实现不仅需要对影响房间舒适度的各项因素进行分析建模,而且还要通过算法对参数进行优化。本文对影响房间环境的几个主要因素如房间温度,光照度等进行了相关因素建模。同时,遗传退火算法是一种随机搜索算法,其拥有计算速度较快且有一定的概率接受较差的结果,从而可以避免陷入局部最优的优点,适合多目标最优参数求解问题。本文使用遗传退火算法,结合建立的模型,为智能用电策略找到最佳方案。最后在MATLAB平台进行模拟仿真,仿真结果表明本文的建筑智能用电系统的节能效果良好。
[Abstract]:The rapid development and application of Internet of things technology has not only changed people's way of life, but also provided a way to solve the problem of energy shortage. At present, the total energy consumption of buildings in China is increasing year by year. Reducing building energy consumption is one of the ways to save energy. Building intelligent power system based on Internet of things technology can not only monitor indoor environment in real time, but also control indoor electric equipment. While creating a comfortable living environment and controlling room electricity consumption, this paper mainly expounds the composition of building intelligent power consumption system and the realization of its control strategy. Building intelligent power consumption system is mainly composed of hardware platform and software. The hardware platform consists of room controller, Monitoring center, intelligent gateway and room information collection module, etc. The room controller and each sensor in the room constitute WiFi network, which is responsible for collecting room information. After that, the room information will be uploaded to the gateway via the ZigBee network, so as to realize the monitoring of each room by the monitoring center. The software of the room controller and the cloud server constitute the software platform of the system, and the software of the monitoring center is the main part of the platform of the building intelligent power system. SQL SERVER database is used to store data and C # programming language of Visual Studio platform is used. Room controller is Android system and Java language is adopted. The software of monitoring center can realize the view of real time data and historical data of each room. At the same time, the monitoring center server is also connected to the Internet network. Users can log in to the monitoring center through the mobile phone, enter the account number and enter the interface. Remote operation. The realization of intelligent power use strategy not only needs to analyze and model the factors that affect the comfort of the room, In this paper, several main factors affecting the room environment, such as room temperature, illumination and so on, are modeled. At the same time, genetic annealing algorithm is a random search algorithm. It has the advantages of fast calculation speed and lower probability, which can avoid falling into local optimum, and is suitable for solving multi-objective optimal parameter problem. In this paper, genetic annealing algorithm is used in combination with the established model. Finally, the simulation results on MATLAB platform show that the energy saving effect of the intelligent power consumption system in this paper is good.
【学位授予单位】：山东建筑大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP391.44;TN929.5;TU855

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