Application of Multiparameter Kalman Filter in Ultrasonic Water Meter

Fuqiang Zuo, Yu Liu
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引用次数: 1

Abstract

With the gradual development of the superior performance of the ultrasonic water meter, the use of the water meter gradually occupies most of the market due to its unique advantages. Through the analysis of the influencing factors of the ultrasonic water meter, the Kalman filter is used to analyze the influencing factors, and the differences are obtained. In this paper, combined with the application scope of the Kalman filter, it is introduced. Combined with the method of data fusion, the influencing factors of the ultrasonic water meter are analyzed. They are the flow rate, temperature, speed of sound, time difference, etc. The appropriate sensor is selected through the sensor selection method, and the corresponding data is obtained by the method of the corresponding sensor. We combine the data fusion method and use Kalman’s method to filter the data. By comparing the data before and after the processing, it is found that the data before and after the filtering of different influencing factors are small. Among them, the flow speed factor has the greatest impact on the accuracy of the ultrasonic water meter; temperature and sound velocity have little effect on the performance of the ultrasonic water meter. When designing an ultrasonic water meter, it is mainly necessary to consider the impact of flow rate and time difference on the performance of the ultrasonic water meter.
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多参数卡尔曼滤波在超声水表中的应用
随着超声波水表优越性能的逐渐发展,水表的使用也因其独特的优势逐渐占据了大部分市场。通过对超声波水表的影响因素进行分析,利用卡尔曼滤波对影响因素进行分析,得出差异。本文结合卡尔曼滤波的应用范围对其进行了介绍。结合数据融合的方法,分析了超声波水表性能的影响因素。它们是流速、温度、声速、时间差等。通过传感器选择方法选择合适的传感器,并通过相应传感器的方法获得相应的数据。结合数据融合方法,利用卡尔曼方法对数据进行滤波。通过对比处理前后的数据,发现不同影响因素滤波前后的数据都很小。其中,流速因素对超声波水表精度影响最大;温度和声速对超声波水表的性能影响不大。在设计超声波水表时,主要要考虑流量和时差对超声波水表性能的影响。
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