The invention discloses a
convolutional neural network vehicle fuel consumption detection method based on ultrasonic sensors, and relates to the technical field of vehicle fuel consumption detection, and the method comprises the steps: 1, installing a plurality of
ultrasonic sensor arrays on a vehicle, and monitoring the liquid level change of a
fuel tank through the ultrasonic sensors; step 2, performing normalization
processing on data acquired by the
ultrasonic sensor, and eliminating differences caused by different measuring devices and measuring environments; and step 3, analyzing the preprocessed data through a
convolutional neural network model to obtain the vehicle fuel consumption. According to the
convolutional neural network vehicle fuel consumption detection method based on the
ultrasonic sensor, the ultrasonic sensor is adopted, non-contact measurement is achieved,
mechanical abrasion is reduced, key parameters related to fuel consumption, such as the
fuel oil liquid level and the distance from a
fuel spray nozzle to a
combustion chamber can be accurately measured, and the fuel consumption can be accurately detected through accurate measurement of the parameters. And the actual fuel consumption of the
diesel engine can be calculated more accurately.