вимірювання

In 2019, 100 years since the founding of the Department of Information and Measurement Technologies of the Lviv  Polytechnic  National  University,  there  is  an  urgent  need  to  look  back  in  the  historical  perspective  and  analyze  the contribution of certain historical figures to the development of engineering thought and the principles of metrology in the areas of Western Ukraine  and,  in particular,  in  the  territories of Galychyna.

The article focuses on the main problems of methodology of the measurement quality evaluation in the context of introduction into metrological practice of the International Dictionary of Metrology VIM 3. The generalized definition of the notion of measurement quality is given. A separate analysis of measurement quality indexes as a process and quality indexes of measurement result as a product of this process is carried out.

An attention is considered to analysis of instrumental component of result’s uncertainty. While production control in industry, the mentioned component for concrete measuring instrument with the concrete measurement results has to be determined and analyzed. Important is the question of random impacts effect on to uncertainty of extreme (minimum or maximum) observations.

The basic principles of systematization of measurement scales types are describes and analyses in this article. Properties types of the empirical objects and corresponding measurement scales are considered. According to VIM3 (“International vocabulary of metrology: Basic and general concepts and associated terms”), measurement scale (quantity-value scale) is an ordered set of quantity values of quantities of a given kind of quantity used in ranking, according to magnitude, quantities of that kind, for example, Celsius temperature scale, time scale, Rockwell C hardness scale etc.

Department “Information and measurement technologies” of Lviv Polytechnic National University raises the training of masters and specialists in metrology and measuring technology to the higher level with support of “IFM Еlectronic” that is world-wide company in development and production of smart sensors and automation elements.

The methods of measuring temperature distribution and their application in different fields are analyzed. Classification of methods is given and a comparative description of advantages and disadvantages is given.

This paper is devoted to the methods of constructing scale devices for information systems necessary for constructive data classification and decision-making process SCADA operator depending on the cognitive characteristics.

It is based on the mixed probability model of the distribution accidental and gross errors. The system of tolerances mentioned above allows to design and to make measurements with the highest reliability.