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作 者:王月敏[1]
出 处:《计算机测量与控制》2012年第12期3257-3259,共3页Computer Measurement &Control
基 金:院级重点项目基金(Z201116)
摘 要:针对传统的水质分析系统中,一旦监测水域面积过大,将造成光学传感信号的衰减,转化后的光学信号发生错误,监测不准确;提出一种基于无线传感网络的智能水质分析系统的设计方法;对发光细菌检测水质污染物的原理进行了研究,通过采集发光细菌接触污染物发出的光亮转化成的光学信号,用无线传感网络传递到信息鉴定终端;系统的软件设计中利用一种光衰减补偿算法对采集的光信号数据进行修正,克服由于水质区域广阔带来的信号衰减的弊端,实验结果表明,该系统能够较为准确地完成大区域的水质监测,监测的准确性达到了77.8%。According to the traditional water quality analysis system, once the monitoring water area is too large, will cause optical sensing signal attenuation, and transformation of the optical signal after an error, monitoring is not accurate. Is proposed based on a wireless sensor network of intelligent water quality analysis system design method. Blinking bacteria on the principle of testing water quality pollutants, through the collection, blinking bacteria out light contact pollutants into optical signal and using wireless sensor network information transmission to identify terminal. In the design of software system using a light attenuation compensation algorithm to obtain the light signal data is revised, overcome because the area is vast water quality with the disadvantages of the signal attenuation, the experimental results show that the system can be more accurate finish large area of the water quality monitoring, monitoring accuracy to 77.8%.
分 类 号:TP393[自动化与计算机技术—计算机应用技术]
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