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为了消除样本周期对实时计算的局限，采用了样本区间步进的方式，确保样本间隔最短（一个采样本间）。新样本将包含前一样本的部分数据，并采用线性回归平滑数据克服非线性影响，提高数据滤波效果。计算温升率的回归递推公式提高了数据平滑和温升率计算的实时性。数值模拟结果表明该递推公式具有良好的滤波效果和收敛性。
In order to eliminate the limitation of real-time calculation for the sample period, the method of sample interval step is adopted to ensure the shortest sample interval (one sample interval). The new sample will contain part of the data from the previous sample and smooth the data using linear regression to overcome the non-linearity and improve the data filtering effect. The regression recursive formula to calculate the temperature rise rate improves the real-time performance of data smoothing and temperature rise rate calculation. Numerical simulation results show that the recursive formula has good filtering effect and convergence.