Application research of information fusion technology of multi-sensor in level measurement

摘要

According to the velocity of sound calibration and the nonlinear rectification in the ultrasonic level meter, a new information fusion algorithm based on neural network is presented. An improved BP algorithm -LM algorithm is used to train the neural network, which can improve the data's convergent speed. The simulation result shows that the effect of the temperature to the sound velocity would be fused in the level measurement while realizing non-linear compensation of temperature, so the level can be measured accurately.