No abstract

The article is devoted to the suggested technique of on-line uncertainty calculation in non-contact temperature measurements, which can be used as a basic algorithm for smart measuring systems, e.g. intelligent radiation thermometers. As the initial data for uncertainty evaluation we use a priori information about heat detector characteristics, calibration curves along with their related uncertainties, estimated ambient temperature and external information of correction factor that should be inputted in a probabilistic form. We suggest utilizing models based on a characteristic function, in order to evaluate the combined uncertainty. In our opinion, the discussed principles are applicable for lots of other areas of measurement, especially, where it is critical to improve effectiveness of subsequent decision-making.