The invention provides a gas ultrasonic
transducer fast matching method, device and equipment and a storage medium, original measurement data such as
flight time are obtained by deploying an ultrasonic
transducer in a gas ultrasonic flowmeter in a gas conveying pipeline, and multi-dimensional
data acquisition is carried out in combination with other sensor parameters.
Wavelet noise reduction and
dynamic time warping processing are carried out on collected signals,
signal quality and
time sequence consistency are improved,
time domain,
frequency domain, environment and statistical features are extracted, and multi-dimensional feature vectors are formed. Modeling is carried out through a
time sequence feature
branch and an environment feature
branch, weighted fusion is carried out by adopting an attention mechanism, and the recognition capability of the model on key features is enhanced. A
machine learning model is trained based on fusion features, a multi-objective
loss function and a data enhancement strategy are adopted, the prediction precision and generalization ability of the model are improved, and a compensation value is output to calibrate the original traffic in real time. According to the method, the accuracy and stability of gas flow measurement in a complex environment are effectively improved, and the method has a good
engineering application prospect.