Measurement and calibration of optical instruments based on metrological calibration method and artificial neural network

Abstract

At present, compared with foreign advanced optical instrument technology, the detection rate and accuracy of Chinese optical instrument system are relatively low. Therefore, it is necessary to update and discuss the measurement and calibration of existing optical instruments. The objective of this paper is to design a new calibration method by combining the traditional measurement calibration method with computer technology. This paper first studied the artificial neural network related knowledge. Then, the measurement parameters of the optical instrument are determined from three aspects: spectral resolution, optical axis magnification and optical axis parallelism measurement error. Then, based on the artificial neural network model and the measurement parameters of optical instruments, the measurement and calibration model of optical instruments is constructed, the measurement and calibration process of optical instruments is analyzed, and the systematic research method is obtained. The system model is combined with the spectral phase recovery method to complete the optical instrument testing and calibration experiments. Finally, the calibration results are tested with the center of mass method. By analyzing the experimental results of this measurement and calibration, it can be seen that updating the measurement and metrological calibration method of optical instruments can improve precision of optical instruments, and improve the application efficiency of optical instruments and promote the development of optical industry. So that, in this paper, the artificial neural network technology is introduced into the field of optical instrument testing as to achieve the calibration of optical instruments. Data AvailabilityData will be made available on request.