The application belongs to the technical field of
automation control, and provides a self-adaptive adjusting method and
system of a total temperature sensor module, which comprises the following steps: constructing a three-dimensional model of an air
inlet channel and simulating a fluid environment, collecting thermal response data to calculate a
time constant, and judging whether there is a
lag; if there is a
lag, extracting sudden thermal data of a historical fluid velocity
mutation point, establishing a dynamic correlation model to compensate and correct, and verifying the eligibility; after the eligibility is verified, collecting the upstream
dynamic pressure and
temperature gradient in real time, predicting the
mutation point, and correcting the total temperature value; based on the corrected value, evaluating the adaptability of the model, and performing working condition partition correction when the adaptability is insufficient; the
system comprises a
lag analysis module, a model construction module, a compensation correction module, and an adaptability analysis module. The application is beneficial to optimizing the total
temperature measurement lag problem in high-speed
airflow.