【摘要】：隨著我國(guó)經(jīng)濟(jì)建設(shè)規(guī)模的不斷擴(kuò)大和社會(huì)信息化進(jìn)程的加快，智能建筑在我國(guó)得到長(zhǎng)足的發(fā)展。但存在以建筑智能子系統(tǒng)的多少作為建筑智慧程度評(píng)價(jià)標(biāo)準(zhǔn)的問(wèn)題，而“建筑智能環(huán)境”的概念將建筑智能化系統(tǒng)與建筑環(huán)境有機(jī)結(jié)合，明確了建筑智能化系統(tǒng)的建設(shè)和評(píng)價(jià)是以建筑環(huán)境的有效監(jiān)控和改善為目標(biāo)。 本文通過(guò)研究建筑物理環(huán)境的影響因素，提出各環(huán)境要素的智能控制需求，在此基礎(chǔ)之上采用智能控制理論研究各環(huán)境要素的控制原理，重點(diǎn)研究智能熱濕、光、氣、聲環(huán)境的控制方法。 首先，研究建筑熱濕環(huán)境、光環(huán)境、氣環(huán)境和聲環(huán)境等物理環(huán)境的影響因素和評(píng)價(jià)指標(biāo)，逐一分析各環(huán)境影響因子的可控性，對(duì)相關(guān)建筑設(shè)施提出智能控制需求。 其次，本文提出以智能控制理論作為建筑智能環(huán)境的控制理論基礎(chǔ)，針對(duì)不同環(huán)境要素的控制需求，本著“優(yōu)先利用自然資源”的原則，制定智能控制策略，提出智能熱濕環(huán)境、智能光環(huán)境、智能氣環(huán)境和智能聲環(huán)境的控制方法。 最后，采用智能熱濕環(huán)境的控制方法，針對(duì)空調(diào)房間智能熱濕環(huán)境的形成，完成了智能熱濕環(huán)境信息采集及預(yù)處理模塊和模糊控制模塊的設(shè)計(jì)，實(shí)現(xiàn)了熱濕環(huán)境的智能判別，聯(lián)動(dòng)控制空調(diào)系統(tǒng)動(dòng)作，并通過(guò)模擬仿真驗(yàn)證了各模塊的可靠性以及控制系統(tǒng)的有效性。 本文明確建筑智能化根本目標(biāo)—?jiǎng)?chuàng)建建筑智能環(huán)境，采用智能控制理論，充分利用自然資源，提出對(duì)建筑智能熱濕環(huán)境、智能光環(huán)境、智能氣環(huán)境和智能聲環(huán)境的控制方法，，為今后建筑智能化系統(tǒng)建設(shè)和智能建筑理論研究奠定基礎(chǔ)。
[Abstract]:With the continuous expansion of the scale of economic construction and the acceleration of the process of social informatization, intelligent buildings in China have been greatly developed. However, there exists the problem of how much of the building intelligence subsystem is taken as the evaluation standard of the building intelligence degree, and the concept of "building intelligent environment" organically combines the building intelligence system with the building environment. It is clear that the construction and evaluation of intelligent building system is aimed at the effective monitoring and improvement of building environment. In this paper, the influence factors of building physical environment are studied, and the demand of intelligent control for each environmental element is put forward. On the basis of this, intelligent control theory is adopted to study the control principle of each environmental element, focusing on the intelligent heat and humidity, light and gas. The control method of sound environment. Firstly, the influence factors and evaluation indexes of physical environment, such as thermal and wet environment, light environment, gas environment and acoustic environment, are studied, and the controllability of each environmental impact factor is analyzed one by one, and the intelligent control requirements for related building facilities are put forward. Secondly, this paper puts forward the intelligent control theory as the control theory basis of the building intelligent environment, aiming at the control demand of different environmental elements, in line with the principle of "making use of natural resources first", the paper formulates the intelligent control strategy. The control methods of intelligent thermal and wet environment, intelligent light environment, intelligent gas environment and intelligent acoustic environment are presented. Finally, the intelligent heat and humidity environment control method is adopted, and the intelligent thermal and wet environment information collection and preprocessing module and fuzzy control module are designed in view of the formation of the intelligent heat and humidity environment in the air conditioning room, and the intelligent judgement of the heat and humidity environment is realized. The operation of air conditioning system is controlled by linkage, and the reliability of each module and the effectiveness of the control system are verified by simulation. In this paper, the basic goal of building intelligence-building intelligent environment is defined, and the intelligent control theory is adopted to make full use of natural resources. The control methods of building intelligent thermal and wet environment, intelligent light environment, intelligent gas environment and intelligent acoustic environment are put forward. It will lay a foundation for the construction of intelligent building system and the theoretical research of intelligent building in the future.
【學(xué)位授予單位】：長(zhǎng)安大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TU855

【參考文獻(xiàn)】

相關(guān)期刊論文 前1條

1 胡興軍;發(fā)展中的智能照明系統(tǒng)[J];光源與照明;2004年03期

本文編號(hào)：2416177