智能温室中传感器数量和位置的选择

S. Lata, H. Verma
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引用次数: 4

摘要

为了监测和控制智能温室内的温度,无线传感器网络通常是比使用单个传感器更好的选择。传感器的随机位置将导致对温室内部温度分布的不正确测量。此外,它将不必要地增加传感器的数量和无线传感器网络的复杂性。本文成功地研究了温室中传感器数量和位置选择的两种方法,即等传感器间距法和试错法。在等传感器间距方法中,当传感器数量从3个增加到10个时,百分比误差从1.3354%减小到0.1559%。虽然十个传感器所对应的误差很小,但是大量的传感器会使温度测量系统非常昂贵。在试错法的情况下,最小的%误差为0.0658%,对应于仅放置在距离门1.0 m, 7.0 m, 11.0 m, 15.0 m和19 m的五个传感器。进一步观察到,对于这种方法,增加传感器的数量并不一定会减少%误差。因此,通过这种方法可以在最优位置获得最优数量的传感器。它可以用于任何温度剖面,并适用于温室的长度和宽度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Selection of sensor number and locations in intelligent greenhouse
For monitoring and control of temperature inside an intelligent greenhouse, a network of wireless sensors is generally a better option rather than using a single sensor. Random location of sensors will yield an incorrect measurement of temperature profile inside the greenhouse. In addition, it will unnecessarily increase the number of sensors and the complexity of the wireless sensor network. In this paper, two approaches namely equal sensor spacing method and trial and error method for the selection of number and locations of sensors in a greenhouse have been proposed successfully investigated. In the equal sensor spacing method, the percentage error reduces from 1.3354% to 0.1559% as the number of sensors is increased from 3 to 10. Although the error corresponding to ten sensors is quite small, the large number of sensors would make the temperature measurement system very expensive. In case of trial and error method the least %error comes out to be 0.0658% corresponding to just five sensors placed at 1.0 m, 7.0 m, 11.0 m, 15.0 m and 19 m from the door. It is further observed that for this approach, increasing the number of sensors does not necessarily reduce the %error. Thus an optimal number of sensors at optimized locations result from this approach. It can be used for any temperature profile and applied along both the dimensions i.e. length and breadth of greenhouse.
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