Metal thin film photoacoustic signal zero point measurement method, device and equipment and storage medium

By combining a physical model of ultrasound generation and propagation with a trained neural network, the accuracy and stability issues of zero-point measurement of photoacoustic signals in thin metal films were solved, achieving high-precision, automated zero-point positioning and film thickness calculation.

CN122430249APending Publication Date: 2026-07-21SKYVERSE TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SKYVERSE TECH CO LTD
Filing Date
2026-03-27
Publication Date
2026-07-21

AI Technical Summary

Technical Problem

Existing technologies suffer from insufficient accuracy and stability when determining the time zero point of photoacoustic signals from thin-film metals. This is especially true when the signal-to-noise ratio is low or the features are not obvious. Manual or semi-automatic identification methods have poor repeatability, while data-driven methods lack physical constraints and are not adaptable enough.

Method used

A physical model of ultrasound generation and propagation under femtosecond laser action was established, the zero-point search time window was calculated, and a pre-trained zero-point recognition neural network was used to accurately locate the zero point using photoacoustic reflectivity time series signals. The method combines physical model constraints and neural network recognition.

Benefits of technology

High-precision and stable zero-point positioning was achieved, which improved the adaptability of the method under different measurement conditions and the physical interpretability of the results, providing a reliable foundation for subsequent film thickness calculation.

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Abstract

The application discloses a kind of metal film photoacoustic signal zero point measurement method, device, equipment and storage medium, wherein method includes: the ultrasonic generation and propagation physical model of the metal film to be measured under femtosecond laser action is established, and zero point search time window is calculated based on physical model;Photoacoustic reflectivity time series signal of the metal film to be measured in zero point search time window is collected;Photoacoustic reflectivity time series signal is input to pre-trained zero point identification neural network model, and the confidence sequence that each time point in photoacoustic reflectivity time series signal is signal zero point is obtained;Based on confidence sequence, the accurate zero point time of photoacoustic signal is determined.The application overcomes the defects that traditional method relies on changeable signal characteristics or pure data driven model generalization ability is poor, realizes the automatic, high-precision, high robustness measurement to photoacoustic signal zero point.
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