High-precision data acquisition method based on differential evolution calibration

Abstract

In the process of high purity indium purification and refining, the calibration data time of high precision data acquisition system is not synchronized. Aiming at this problem, this paper constructs the optimization of the data processing parameters, with the linear model as the model of the acquisition data processing parameters, and the equipment display value as the real value of data acquisition. Based on the differential evolution algorithm, the optimization search of model parameters is realized. Finally, taking the temperature data acquisition of single crystal pulling furnace as an example, this paper constructs a high-precision data acquisition system and verifies it by experiments. The experimental results show that with the optimized model parameters, the average error of data acquisition is only 0.14°C, and the accuracy can reach 99.81%. Compared with the non-optimized model parameters, the optimized model parameters significantly improves the accuracy of data acquisition system with the average error is reduced by 61.11%.