基于关联系数寻优温差预测模型的快速pVTt法原位校准系统研究OA

A fast pVTt in-situ calibration system was developed.A gas flow calculation model was established based on the ideal gas state equation.Subsequently,the calibration process was automated by implementing an embedded system for real-time data processing.To improve the accuracy of the model,temperature,the key parameter,was calibrated.For this purpose,a temperature difference prediction model between the average gas temperature and the outer wall temperature was constructed based on theoretical analysis.This model was subsequently optimized via a correlation coefficient optimization method to enhance its predictive accuracy and stability.Experimental results indicate that a single flow point can be calibrated within 10 seconds by the system.Meanwhile,after temperature correction,the calculation error of gas flow rate significantly decreased,with a relative error not exceeding±1%,meeting the practical application requirements.