基于CPS的建筑智能化中系统控制方法研究

发布时间：2018-05-27 11:45

本文选题：信息物理融合系统 + 建筑智能化　；参考：《沈阳建筑大学》2016年硕士论文

【摘要】：信息物理融合系统(Cyber-Physical Systems,CPS)的概念一经提出,便在世界范围内掀起了信息技术的第三次浪潮。信息物理融合系统(CPS)继承和发展了计算、通信和控制等科学技术,并且将这些科学技术充分融合于一体,最终实现信息系统在实时监控物理世界的运行状况的同时,物理世界又可以借助信息系统进行各类环境因素的检测调节与控制。通过信息系统和物理世界相互渗透的反馈循环作用,达成一种安全、可靠、高效和实时的控制效果。CPS的技术特点与建筑智能化系统之间有着非常高的契合度。因此,将CPS的概念引入到智能建筑领域中,对建筑智能化中的系统控制方法的研究具有非常重要的指导意义。本文研究的主要目的是在CPS理念的指导下,以智能建筑中的温湿度环境为研究背景,改善建筑智能化中系统控制结构,优化系统控制方法。主要研究内容如下:1.研究信息物理融合系统(CPS)的特点和关键技术,参考其在智能交通、智能电网、智能医疗等领域的应用结合方法。调查研究智能建筑在国内外的发展现状,寻找CPS技术在智能建筑领域的应用切入点,并以此作为重点研究方向,从理论和实际应用两个方面展开探索性研究。2.从系统控制的角度出发,分析了被控对象,探讨控制模型。结合建筑智能化系统的特点,建立了含有协调器和控制器的智能建筑多级控制系统,从而优化建筑智能化系统的控制性能。3.针对建筑智能化系统不易建立精准的控制模型,提出了一种基于杂草优选算法的径向基函数(RBF)神经网络预测控制方法。构建智能建筑内的温湿环境控制模型,以室内温度和相对湿度作为主要参考环境因素,通过杂草优选算法来优选RBF神经网络隐含层节点中心,改善以往常用的OLS算法不足之处,进而简化网络结构。4.从智能建筑的舒适性角度出发,以信息物理融合系统(CPS)为理论基础,选择智能建筑中的温湿度环境作为研究应用背景,选取具有ARM Cortex-M3内核的STM32系列单片机作为核心处理器、欧姆龙E6A2-CW3C,500线双相增量式编码器和DHT11温湿度传感器等重要器件搭建软硬件模拟仿真平台。以人体热舒适值PMV作为评价标准,通过对温度、湿度和相对风速等环境因素进行调节,来达到让人体满意的舒适效果,进而验证信息物理融合系统(CPS)在智能建筑领域的可行性和正确性。5.最后,对全文所做的工作内容、研究成果以及不足之处进行总结,并对下一步的研究工作进行展望。
[Abstract]:Once the concept of Cyber-Physical Systems (CPS) is proposed, the third wave of information technology has been launched in the world. The information physics fusion system (CPS) inherits and develops the science and technology of calculation, communication and control, and fully integrates these technologies into one, and finally realizes that the information system can monitor and control the operation of the physical world in real time at the same time. The physical world can also use information systems to detect and control all kinds of environmental factors. Through the feedback cycle between information system and physical world, a safe, reliable, efficient and real-time control effect is achieved. The technical characteristics of CPS have a very high degree of agreement with the intelligent building system. Therefore, it is of great significance to introduce the concept of CPS into the field of intelligent building. The main purpose of this paper is to improve the system control structure and optimize the system control method with the background of temperature and humidity environment in intelligent building under the guidance of CPS concept. The main research contents are as follows: 1. This paper studies the characteristics and key technologies of information physical fusion system (CPS), and refers to its application combination method in the fields of intelligent transportation, smart grid, intelligent medical treatment and so on. This paper investigates the development status of intelligent building at home and abroad, looks for the breakthrough point of application of CPS technology in the field of intelligent building, and takes it as the key research direction to carry out exploratory research from two aspects of theory and practical application. From the point of view of system control, the controlled object is analyzed and the control model is discussed. According to the characteristics of intelligent building system, a multi-level control system of intelligent building with coordinator and controller is established, and the control performance of intelligent building system is optimized. A radial basis function (RBF) neural network predictive control method based on weed selection algorithm is proposed for building intelligent system which is difficult to establish accurate control model. The control model of temperature and humidity environment in intelligent building is constructed. The indoor temperature and relative humidity are taken as the main reference environment factors, and the optimal selection algorithm of weeds is used to select the center of hidden layer node of RBF neural network, which can improve the deficiency of OLS algorithm commonly used in the past. And then simplify the network structure. Based on the theory of information physics fusion system, the temperature and humidity environment in intelligent building is chosen as the research and application background, and the STM32 series microcontroller with ARM Cortex-M3 kernel is selected as the core processor from the view of comfort of intelligent building. OMRON E6A2-CW3Cn500 line dual phase incremental encoder and DHT11 temperature and humidity sensor are used to build software and hardware simulation platform. The thermal comfort value (PMV) of human body is taken as the evaluation standard. By adjusting the environmental factors such as temperature, humidity and relative wind speed, the comfort effect of human body can be achieved. Then verify the feasibility and correctness of the information physics fusion system (CPS) in the field of intelligent building. Finally, the paper summarizes the contents, research results and shortcomings of the paper, and looks forward to the next research work.
【学位授予单位】：沈阳建筑大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：TU855;TP273

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