IMPROVEMENT OF CALORIMETRIC QUALITY ANALYZERS FOR SUBSTANCES

It is noted that the development of intelligent means of measuring qualitative indices is of topical importance. Since the quality of many substances is determined by optical methods, an algorithm for spectrophotometric data processing has been developed, which consists of primary data processing (stage I) and determination of qualitative indices of liquid products (stage II). Since the task of numerical determination of colour characteristics of transmittance coefficients of liquid samples is incorrectly set, it is recommended to use regularization methods of A.N.Tikhonov to improve metrological characteristics of the device. On the basis of regularization methods for solving incorrect problems, algorithms for restoring the hardware function of the spectral device are also developed. The criteria for comparison and selection of quality analyzers are given on the example of colour measuring devices. The use of artificial intelligence methods based on fuzzy logic algorithms and artificial neural networks in the computing device is also recommended.

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