大型公共建筑能耗監(jiān)測、模型及管理信息系統(tǒng)研究
本文選題:大型公共建筑 + 能耗 ; 參考:《西安建筑科技大學》2013年碩士論文
【摘要】:隨著我國城市化進程的加快,大型公共建筑在城鎮(zhèn)建筑中的比例迅速增加。目前,我國大型公共建筑總量已超過1萬座,總面積約5~6億m2,其所占城鎮(zhèn)建筑面積的比例不到4%,但耗電量卻占到城鎮(zhèn)建筑總耗電量的22%以上,為普通居民住宅的10-20倍,是歐洲、日本等發(fā)達國家同類建筑的1.5~2倍,其能耗已占全國總能耗的30%左右,是典型的能耗大戶,同時,也是我國建筑節(jié)能的重點領(lǐng)域。針對大型公共建筑的節(jié)能減排,我國政府及相關(guān)職能部門已相繼出臺了一系列監(jiān)管導則、規(guī)范、標準及方案,要求對其進行能耗監(jiān)測、能耗統(tǒng)計、能源審計、能效公示,建立能耗監(jiān)測平臺,落實定額用能等節(jié)能監(jiān)管措施。 論文正是基于大型公共建筑的節(jié)能監(jiān)管問題,首先,基于ZigBee和以太網(wǎng)技術(shù)構(gòu)建了大型公共建筑能耗無線監(jiān)測系統(tǒng),設(shè)計了監(jiān)測系統(tǒng)中ZigBee能耗無線采集終端節(jié)點和ZigBee/以太網(wǎng)網(wǎng)關(guān),并進行了能耗采集節(jié)點的軟件開發(fā)與調(diào)試,實現(xiàn)了大型公共建筑能耗的分布式無線計量和遠程傳輸;其次,針對大型公共建筑能耗的大數(shù)據(jù)特征,根據(jù)數(shù)據(jù)庫系統(tǒng)設(shè)計的一般步驟,采用SQL Server2008數(shù)據(jù)庫管理軟件,建立了大型公共建筑能耗數(shù)據(jù)庫,實現(xiàn)了海量能耗數(shù)據(jù)存儲和管理;然后,歸類并分析了大型公共建筑能耗影響因素,根據(jù)其能耗影響因素的特征,提出了一種基于小波神經(jīng)網(wǎng)絡(luò)的大型公共建筑能耗預(yù)測模型,并結(jié)合實例,采用Matlab編程,分析了實驗結(jié)果,驗證了此模型在大型公共建筑能耗預(yù)測方面的優(yōu)點;最后,選用VB可視化編程工具,,開發(fā)了大型公共建筑能耗監(jiān)測與管理信息系統(tǒng),實現(xiàn)了大型公共建筑能耗信息的可視化管理。 論文為我國大型公共建筑的節(jié)能監(jiān)管提供了一種科學化、信息化、透明化的技術(shù)平臺,利于落實國家關(guān)于大型公共建筑各項節(jié)能政策及措施,對我國既有大型公共建筑的節(jié)能改造與新建大型公共建筑的節(jié)能運行都具有科學的指導意義。
[Abstract]:With the acceleration of urbanization in China, the proportion of large public buildings in urban buildings is increasing rapidly. At present, the total number of large public buildings in China has exceeded 10, 000, with a total area of about 5 to 600 million m2, which accounts for less than 4 percent of the total building area of cities and towns, but the electricity consumption accounts for more than 22 percent of the total electricity consumption of urban buildings, 10-20 times as much as that of ordinary residents' houses, and is more than that of Europe. The energy consumption of the similar buildings in Japan and other developed countries accounts for about 30% of the total energy consumption in China. It is a typical large energy consumption household and is also a key area of building energy conservation in China. In view of the energy saving and emission reduction of large public buildings, our government and related functional departments have issued a series of supervision guidelines, norms, standards and schemes one after another, which require energy consumption monitoring, energy consumption statistics, energy audit, energy efficiency publicity. Establish energy consumption monitoring platform and implement energy conservation supervision measures such as quota energy use. Firstly, based on the technology of ZigBee and Ethernet, the wireless monitoring system of energy consumption of large public buildings is constructed, and the wireless acquisition terminal node of ZigBee energy consumption and the ZigBee / Ethernet gateway are designed. The software of energy acquisition node is developed and debugged to realize the distributed wireless measurement and remote transmission of energy consumption of large public buildings. Secondly, aiming at the big data characteristics of energy consumption of large public buildings, According to the general steps of database system design, using SQL Server 2008 database management software, a large-scale public building energy consumption database is established, which realizes the storage and management of massive energy consumption data. This paper classifies and analyzes the factors affecting the energy consumption of large public buildings. According to the characteristics of these factors, a prediction model of energy consumption of large public buildings based on wavelet neural network is proposed. The experimental results verify the advantages of this model in the prediction of energy consumption of large public buildings. Finally, a monitoring and management information system for energy consumption of large public buildings is developed by using VB visual programming tool. The visual management of energy consumption information of large public buildings is realized. This paper provides a scientific, informational and transparent technical platform for the supervision of energy conservation of large public buildings in China, which is conducive to the implementation of various national policies and measures on energy conservation of large public buildings. It has scientific guiding significance for the energy saving reconstruction of existing large public buildings and the energy saving operation of new large public buildings.
【學位授予單位】:西安建筑科技大學
【學位級別】:碩士
【學位授予年份】:2013
【分類號】:TU242;TU111.3
【參考文獻】
相關(guān)期刊論文 前10條
1 孫建平;朱雯;;基于小波BP-時間序列的齒輪箱溫度預(yù)警[J];電子測量與儀器學報;2012年03期
2 王磊;于軍琪;馬媛;楊創(chuàng)業(yè);;大型公共建筑能耗無線遠程監(jiān)測與節(jié)能管理系統(tǒng)研究[J];建筑節(jié)能;2011年03期
3 吳亦鋒;劉彪;許巧玲;;大型公共建筑能耗監(jiān)控系統(tǒng)研究[J];福州大學學報(自然科學版);2011年01期
4 楊孝鵬;;國內(nèi)外建筑能耗監(jiān)測平臺建設(shè)調(diào)查與研究[J];工程與建設(shè);2011年01期
5 李國良;李忠富;謝洪濤;李紅波;;基于IGA-BP算法的小波神經(jīng)網(wǎng)絡(luò)模型及應(yīng)用[J];系統(tǒng)工程;2012年10期
6 ;推合同能源管理 促公共建筑節(jié)能[J];城市住宅;2012年04期
7 任云暉,趙利民;能源計量系統(tǒng)的分析與實現(xiàn)[J];計量技術(shù);2004年12期
8 馬媛;于軍琪;楊柳;楊創(chuàng)業(yè);王磊;;大型公共建筑能耗動態(tài)模型的研究與應(yīng)用[J];計算機工程與應(yīng)用;2011年16期
9 路宏偉;;大型公共建筑能耗監(jiān)測與信息管理系統(tǒng)研究及應(yīng)用[J];江蘇建筑;2011年05期
10 郭湘勇;劉宏立;周平;江艷;梁來朋;;基于ZigBee技術(shù)的建筑能耗監(jiān)測系統(tǒng)設(shè)計[J];計算機測量與控制;2011年03期
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