Abstract:

To improve the measurement accuracy of ultrasonic sensor measuring system in complex environment and realize the ultrasonic sensor nonlinear error correction of the oil level measuring system, taking the tanklevel measurement as an example we present an ultrasonic sensor measurement accuracy optimization model based on the neural network genetic algorithm. Simulation results show that the proposed method can reduce the interference of the ultrasonic sensor structure and external factors, thus improving the accuracy of measurement.

Key words: oil level measurement；ultrasonic；GA-BP;accuracy optimization