基于化学振荡反应的多参数测量系统设计
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摘要
提出基于化学震荡反应的多参数测量系统的设计方案,此方案可用于测量化学震荡反应过程中的4路信号:电压、温度、pH及容器内压强.此方案能实时采集此4路信号,可解决化学振荡反应中出现的压值为负的问题,能利用软件分析系统对数据进行分析、处理、对比和显示,能直观反映参数间的关系.实验结果表明:给定值与测量值间相关系数的平均值高达0.998 74,因此该系统有高的测量精度.
The authors put forward the design scheme based on oscillating chemical reaction of multi-parameter measurement system.The design could be used to measure four signals namely voltage,temperature,pH and the intensity of pressure simultaneously.Besides,it could solve the problem that voltage value was negative in the chemical oscillation reaction system.And it could analyze,handle with,contrast data and display graphs,and reflect the relationship between each parameter straightforwardly through software analysis system.The correlated coefficient average between measurements and set values was 0.999 84,so this was a high accuracy system.
The authors put forward the design scheme based on oscillating chemical reaction of multi-parameter measurement system.The design could be used to measure four signals namely voltage,temperature,pH and the intensity of pressure simultaneously.Besides,it could solve the problem that voltage value was negative in the chemical oscillation reaction system.And it could analyze,handle with,contrast data and display graphs,and reflect the relationship between each parameter straightforwardly through software analysis system.The correlated coefficient average between measurements and set values was 0.999 84,so this was a high accuracy system.
引文
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[2]SASAI Y.Crystal systems dynamics in self-organization of tissue architecture[J].Nature,2013,493(7432):318-326.
[3]苏适,迟彩霞,王斌,等.化学振荡反应在分析检测中的应用及前景[J].化学世界,2013,68(10):634-637.
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[6]祝庆峰.基于STM32的嵌入式网络控制器设计[D].哈尔滨:哈尔滨理工大学电气与电子工程学院,2014.
[7]李晓钰,陈向东,姚尧,等.复杂电极结构的单片式电容传感器研究[J].仪器仪表学报,2010,31(7):1541-1546.
[8]刘利梅,张祥,刘英娟,等.用RLC电路实现理想巴特沃思模拟低通滤波器的方法[J].中国新技术新产品,2010,22(12):5-6.
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[10]PINTO J.Diffusing and translating watchdog journalism[J].Media History,2009,15(15):1-16.
[11]YASUNORI S,HIDEHUMI K,YUTA H,et al.Three dimensional monitoring of stack plume dynamics by a scanning Mie Lidar system as a plume watchdog station[J].Optical Review,2005,12(4):328-333.
[12]孙鑫.VC++深入详解[M].北京:电子工业出版社,2012.
[13]王梦蛟.混沌信号的噪声抑制研究[D].广州:华南理工大学电子与信息学院,2015.
[14]陈蕾,刘立龙,陈东银.自适应卡尔曼滤波法用于变形监测数据处理[J].测绘工程,2008,17(1):48-50.
[15]周启帆,张海,王嫣然.一种基于冗余测量的自适应卡尔曼滤波算法[J].航空学报,2015,36(5):1596-1605.