Штучний інтелект як інструмент для підвищення ефективності та точності в термометрії

Abstract

The study is devoted to the analysis of the possibilities of using artificial intelligence to solve modern problems in the field of measurements in thermometry. Key approaches to the integration of artificial intelligence are considered to simplify the process of modeling and data processing in thermometry. An analysis of the main problems of modern thermometry was carried out, which allows working with machine learning (ML) algorithms for analyzing large amounts of data. It was determined that the use of self-calibrating thermocouples will ensure the robustness and accuracy of thermometric studies.