摘要
针对多声道超声波流量计在流体流速测量时由于某个换能器不能正常工作而导致测量存在误差的问题。在多传感器数据融合理论的基础上并对其进行改进,提出了一种适用于多声道超声波流量计的数据融合计算方法,同时改进后的最优加权数据融合方法能够在每次测量后自适应的计算最优权重系数。通过实验表明当流量计各声道均能正常工作时,该方法与Gauss-Jacobi积分法计算得到的流速值基本一致,当流量计单个声道不能正常工作时,应用该方法可以得到比Gauss-Jacobi积分法更加稳定的流速值,能够减小测量误差给计算结果带来的影响。
In view ofthe problem that the measurement error caused by a transducer can not work normally in the measurement of the flow velocity of the multi-path ultrasonic flowmeter. On the basis of multi-sensor data fusion theory and its improvement,a data fusion calculation method suitable for multi-path ultrasonic flowmeter is proposed,meanwhile the improved optimal weighted data fusion method can adaptively calculate the optimal weight coefficient after each measurement. The experimental results show that the flow velocity calculated by this method and the Gauss-Jacobi integral method are basically consistent when the channels of the flowmeter can work normally,When single channel of the flowmeter can not work normally,this method can be used to obtain more stable flow velocity than the Gauss-Jacobi integral method,it can reduce the influence of measurement error to the calculation result.
作者
张彦楠
杨彬
ZHANG Yannan, YANG Bin2.(1. School of Control Science and Engineering,Hebei University of Technology, Tianjin 300130, China ; 2. China Zhonghuan Tig Co. ,Ltd, Tianjin 300384, Chin)
出处
《传感技术学报》
CAS
CSCD
北大核心
2017年第12期1959-1964,共6页
Chinese Journal of Sensors and Actuators
基金
天津市科技支撑计划项目(15ZCZDGX00730)
关键词
多声道超声波流量计
测量误差
数据融合
最优权重系数
最小均方误差
multi-path ultrasonic flowmeter
measurement error
data fusion
optimal weight coefficient
minimummean square error
