基于層次分析法的屋頂綠化智慧管理系統

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基于層次分析法的屋頂綠化智慧管理系統
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作者單位:蘇州科技大學(xué)江蘇省建筑智慧節能重點(diǎn)實(shí)驗室,蘇州科技大學(xué)江蘇省建筑智慧節能重點(diǎn)實(shí)驗室,蘇州科技大學(xué)江蘇省建筑智慧節能重點(diǎn)實(shí)驗室,蘇州科技大學(xué)江蘇省建筑智慧節能重點(diǎn)實(shí)驗室,同濟大學(xué)電子與信息工程學(xué)院 上海,中國科學(xué)院上海微系統與信息技術(shù)研究所 上海;中國科學(xué)院上海微系統與信息技術(shù)研究所 上海
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基金項目:國家自然科學(xué)(61602334,61502329,61401297)；住房與城鄉建設部科學(xué)技術(shù)項目(2015-K1-047)；江蘇省自然科學(xué)(BK20140283)；

A Smart Green Roof System based on Analytic Hierarchical Process (AHP)

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JiangSu Province Key Lab of Intelligent Building Energy Efficiency,Suzhou University of Science and Technology,Suzhou,Jiangsu,China,JiangSu Province Key Lab of Intelligent Building Energy Efficiency,Suzhou University of Science and Technology,Suzhou,Jiangsu,China,JiangSu Province Key Lab of Intelligent Building Energy Efficiency,Suzhou University of Science and Technology,Suzhou,Jiangsu,China,JiangSu Province Key Lab of Intelligent Building Energy Efficiency,Suzhou University of Science and Technology,Suzhou,Jiangsu,China,College of Electronics and Information Engineering,TongjiSUniversity,Shanghai,Shanghai Institute of Microsystem and Information Technology Chinese Academy of Science,Shanghai

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摘要:

快速的城市化進(jìn)程使得當前城市普遍面臨綠地面積減少、抗自然災害能力下降等問(wèn)題。針對城市資源與需求的矛盾,對現有屋頂綠化自動(dòng)管理系統進(jìn)行了研究,設計了一種基于無(wú)線(xiàn)傳感器網(wǎng)絡(luò )的屋頂綠化智慧管理系統。通過(guò)實(shí)時(shí)獲取光照強度等植物生長(cháng)環(huán)境參數；使用層次分析法對植物生長(cháng)環(huán)境進(jìn)行評估與分析,提出了量化環(huán)境適宜度指標,通過(guò)反饋控制系統,實(shí)現屋頂綠化植物的智慧管理。實(shí)驗結果表明,與傳統屋頂綠化方法相比較,系統可以提高24%的植物存活率,同時(shí)可實(shí)現屋頂降溫20%的目標。系統具有成本低、自適應管理等優(yōu)點(diǎn),可以廣泛應用于當前我國的城市屋頂綠化中,也可以為學(xué)界和業(yè)界的相關(guān)研究提供參考。

Abstract:

With the rapid development of urbanization, problems such as reduction of green land and decrease of ability to deal with natural disaster occur. A smart green roof management system is proposed in this paper, targeting at improve the efficiency of the current management systems. Humidity, temperature as well as light intensity are measured and transmitted for further analysis with AHP, aiming at ranking the sampling environment to offer benchmark for feedback control. Experiment results show that the proposed smart system is able to improve the survival rate as high as 24% and reduce as much as 20% temperature in summer with low cost and without the involvement of people. The proposed system can be widely applied in our cities and it can also provide experience for related research home and abroad.

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羅恒,鄒優(yōu)敏,陳揚,陸家欣,郭愛(ài)煌,李慧.基于層次分析法的屋頂綠化智慧管理系統計算機測量與控制[J].,2017,25(11).

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收稿日期:2017-08-16
最后修改日期:2017-08-31
錄用日期:2017-09-01
在線(xiàn)發(fā)布日期: 2017-12-07
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