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为解决超声波水流量信号的波动较大以及超声水表功耗较大的问题,提出基于微功耗的水流量滤波算法,包括信号滤波处理、校正、积算等算法。为了验证该算法的可行性,对超声水表的原始采样数据进行处理,通过处理前后的数据对比可看出,该算法在滤除随机噪音,提高小流量信噪比方面具有明显效果。该算法不仅有效解决超声波水表流量测量精度,还可以应用于其他多种模拟信号的处理,比如温度信号、压力信号等。
In order to solve the problem of large fluctuation of ultrasonic water flow signal and large power consumption of ultrasonic water meter, an algorithm of water flow filtering based on micro-power is proposed, including signal filtering, correction and product calculation. In order to verify the feasibility of the algorithm, the raw sampling data of ultrasonic water meter is processed. The comparison of data before and after processing shows that the algorithm has obvious effect in filtering random noise and improving signal-to-noise ratio of small flow rate. The algorithm can not only effectively solve the ultrasonic water meter flow measurement accuracy, but also can be applied to a variety of other analog signal processing, such as temperature signals, pressure signals.