基于溫度空間分布的傳感節點(diǎn)部署最優(yōu)化研究

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基于溫度空間分布的傳感節點(diǎn)部署最優(yōu)化研究
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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,同濟大學(xué)電子與信息工程學(xué)院,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
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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)；

Research on the spatial distribution of indoor temperaturewith limited number of sensors

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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,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

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摘要:

現代人類(lèi)滯留室內時(shí)間超過(guò)生命周期的90%,溫度是影響室內環(huán)境舒適度的一個(gè)重要指標,對滯留人員的身體健康和工作效率有著(zhù)很大影響。敷設無(wú)線(xiàn)傳感器網(wǎng)絡(luò )實(shí)時(shí)獲取室內溫度是一種有效、可靠的方法,但是傳感節點(diǎn)的部署問(wèn)題一直是研究的熱點(diǎn)和難點(diǎn)。針對室內復雜環(huán)境下傳感節點(diǎn)隨機布置可能導致的初始化偏差問(wèn)題,提出了一種基于溫度空間分布規律的傳感節點(diǎn)部署方法,以流體力學(xué)仿真結果為依據,結合節點(diǎn)測量數據,動(dòng)態(tài)預測節點(diǎn)放置位置。實(shí)測結果表明,在保證精確度以及區域測量全覆蓋的前提下,方法獲取最少節點(diǎn)數量及其部署位置。結果可以為溫度傳感節點(diǎn)的初始化敷設提供理論依據,也可以為其他物理量的測量提供方法。

Abstract:

Research shows that modern people spend more than 90% of their lifetime indoors. As a consequence, indoor environment comfort plays an important part at the occupants’ body health and working efficiency. Temperature is of great significance in the aspect of the measurement of indoor comfort. Nevertheless, the initial deployment of sensing nodes is complicated due to the limited coverage area of sensors. A sensing node deployment method is proposed in this paper, using analysis of results from computational fluid dynamics, to reduce the impact of positioning bias. Experiment results show that the proposed algorithm is able to measure temperature change with limited node number while maintaining certain level of accuracy. Our approach is able to provide a benchmark for the deployment of sensing nodes and it can also lay foundation for parameters measurement in other areas.

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羅恒,郭愛(ài)煌,倪啟東,鄒優(yōu)敏,陸家欣.基于溫度空間分布的傳感節點(diǎn)部署最優(yōu)化研究計算機測量與控制[J].,2018,26(4):148-151.

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收稿日期:2017-08-22
最后修改日期:2017-09-13
錄用日期:2017-09-14
在線(xiàn)發(fā)布日期: 2018-04-23
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