APPLICATION OF MULTI SENSOR KALMAN FILTER IN ULTRASONIC WATER METER

In this paper, Kalman filter algorithm was applied to the current ultrasonic flow measurement technology, and the application of Kalman filter algorithm in ultrasonic water meter was improved by multi parameter modification. The establishment of multi parameter model made the improved Kalman filter algorithm more suitable for flow measurement. By selecting the control factors, temperature and ion concentration were determined as the medium control parameters. Temperature T and concentration variable C were added to the model as control parameters. The research results show that the temperature and concentration exhibit a negative correlation with the measurement accuracy, and a Kalman filter algorithm based on multi-sensor is constructed. The measurement error range is reduced from 3-5% to about 1%. The measurement process not only ensures the accuracy and stability of flow measurement, but also reduces the computational complexity and considers the low power consumption.