摘要： 针对中小管径单声道超声波流量计由于声道少而易受流场分布不均匀的影响，提出了一种基于时差法的双声道超声波水流量计。流量计的硬件系统由STM32L431低功耗模块、高精度计时模块TDC-GP22等组成。根据双声道管段结构，提出了基于卡尔曼滤波算法的数据融合方法，将两个声道的测量数据融合并完成滤波处理，提高了流量计的测量精度。实验测试表明，流量计测量误差在2.5%以内，卡尔曼融合滤波算法可以有效提高流量计测量精度。

中图分类号：TP216
文献标志码：A
DOI: 10.16157/j.issn.0258-7998.222953
中文引用格式： 刘伟，秦会斌. 基于时差法的双声道超声波水流量计[J]. 电子技术应用，2023，49(1)：58-62.
英文引用格式： Liu Wei，Qin Huibin. Two-channel ultrasonic water flowmeter based on time difference method[J]. Application of Electronic Technique，2023，49(1)：58-62.

Two-channel ultrasonic water flowmeter based on time difference method

Abstract： For the small and medium diameter mono ultrasonic flowmeter due to the small number of channels vulnerable to uneven flow field distribution, a dual-channel ultrasonic water flowmeter based on the time difference method is proposed. The hardware system of the flowmeter consists of STM32L431 low-power module, high-precision timing module TDC-GP22 and other components. According to the dual-channel pipe segment structure, the data fusion method based on Kalman filter algorithm is proposed to fuse the measurement data of the two channels and complete the filtering process, which improves the measurement accuracy of the flowmeter. The experimental test shows that the flowmeter measurement error is within 2.5%, and the Kalman fusion filtering algorithm can effectively improve the flowmeter measurement accuracy.

Key words : Kalman filter；fusion method；ultrasound；flowmeter；binaural