本文選題：信息物理融合系統(tǒng) + 建筑智能化��； 參考：《沈陽建筑大學》2016年碩士論文

【摘要】：信息物理融合系統(tǒng)(Cyber-Physical Systems,CPS)的概念一經(jīng)提出,便在世界范圍內掀起了信息技術的第三次浪潮。信息物理融合系統(tǒng)(CPS)繼承和發(fā)展了計算、通信和控制等科學技術,并且將這些科學技術充分融合于一體,最終實現(xiàn)信息系統(tǒng)在實時監(jiān)控物理世界的運行狀況的同時,物理世界又可以借助信息系統(tǒng)進行各類環(huán)境因素的檢測調節(jié)與控制。通過信息系統(tǒng)和物理世界相互滲透的反饋循環(huán)作用,達成一種安全、可靠、高效和實時的控制效果。CPS的技術特點與建筑智能化系統(tǒng)之間有著非常高的契合度。因此,將CPS的概念引入到智能建筑領域中,對建筑智能化中的系統(tǒng)控制方法的研究具有非常重要的指導意義。本文研究的主要目的是在CPS理念的指導下,以智能建筑中的溫濕度環(huán)境為研究背景,改善建筑智能化中系統(tǒng)控制結構,優(yōu)化系統(tǒng)控制方法。主要研究內容如下:1.研究信息物理融合系統(tǒng)(CPS)的特點和關鍵技術,參考其在智能交通、智能電網(wǎng)、智能醫(yī)療等領域的應用結合方法。調查研究智能建筑在國內外的發(fā)展現(xiàn)狀,尋找CPS技術在智能建筑領域的應用切入點,并以此作為重點研究方向,從理論和實際應用兩個方面展開探索性研究。2.從系統(tǒng)控制的角度出發(fā),分析了被控對象,探討控制模型。結合建筑智能化系統(tǒng)的特點,建立了含有協(xié)調器和控制器的智能建筑多級控制系統(tǒng),從而優(yōu)化建筑智能化系統(tǒng)的控制性能。3.針對建筑智能化系統(tǒng)不易建立精準的控制模型,提出了一種基于雜草優(yōu)選算法的徑向基函數(shù)(RBF)神經(jīng)網(wǎng)絡預測控制方法。構建智能建筑內的溫濕環(huán)境控制模型,以室內溫度和相對濕度作為主要參考環(huán)境因素,通過雜草優(yōu)選算法來優(yōu)選RBF神經(jīng)網(wǎng)絡隱含層節(jié)點中心,改善以往常用的OLS算法不足之處,進而簡化網(wǎng)絡結構。4.從智能建筑的舒適性角度出發(fā),以信息物理融合系統(tǒng)(CPS)為理論基礎,選擇智能建筑中的溫濕度環(huán)境作為研究應用背景,選取具有ARM Cortex-M3內核的STM32系列單片機作為核心處理器、歐姆龍E6A2-CW3C,500線雙相增量式編碼器和DHT11溫濕度傳感器等重要器件搭建軟硬件模擬仿真平臺。以人體熱舒適值PMV作為評價標準,通過對溫度、濕度和相對風速等環(huán)境因素進行調節(jié),來達到讓人體滿意的舒適效果,進而驗證信息物理融合系統(tǒng)(CPS)在智能建筑領域的可行性和正確性。5.最后,對全文所做的工作內容、研究成果以及不足之處進行總結,并對下一步的研究工作進行展望。
[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.
【學位授予單位】：沈陽建筑大學
【學位級別】：碩士
【學位授予年份】：2016
【分類號】：TU855;TP273

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本文編號：1941944