本论文利用超声检测流量的原理，结合改进的算法，采用基于自适应滤波器的噪声消除技术，从而将信噪比太低的微弱的有用信号从噪声干扰所淹没的环境中检测出来，达到提高接收信号信噪比质量的目的，为更好地测量受环境影响较大的气体和液体。超声波流量计是非接触式的，不受流体物理性质与化学性质的影响，在工业检测方面应用广泛，在天然气工业领域具有广阔的应用前景，超声流量计应用LMS算法提高了测量的精度和在恶劣环境下信号的检测能力。 In this paper, the principle of ultrasonic flow detection, combined with the improved algorithm, and the noise elimination technology based on the adaptive filter are used to detect the weak useful signal with too low a signal-to-noise ratio from the environment submerged by noise interference. The purpose of improving the signal-to-noise ratio quality of the received signal is to better measure the gases and liquids greatly affected by the environment. The ultrasonic flowmeter is non-contact and not affected by the physical and chemical properties of the fluid. It is widely used in industrial detection. It has a promising application prospect in the field of the natural gas industry. The application of LMS algorithm in ultrasonic flowmeter improves the measurement accuracy and signal detection ability in harsh environments.