TRANSFORMATION CHARACTERISTICS OF MEASUREMENT SYSTEMS USING A DATA TABLE WITH AN ALGORITHMIC CORRECTION METHOD

Reducing the errors of measurement channels of measuring systems requires the use of a priori information, mathematical models and transformation characteristics about the measurement object, the measured quantity and the measurement channel. The conversion characteristics of measurement channels can be stored in memory in analytical, tabular and graphical form as part of a specific knowledge base of intelligent information measuring systems. There are known correction methods based on dividing the conversion characteristics of measurement channels of measuring systems, specified in analytical form, into discrete pieces and introducing pre-stored corrections into the measurement result inside each discrete piece. The issues of automatic correction of the nonlinear transformation characteristic, specified in the form of a table of input-output data of the measuring channel of measuring systems, have not been sufficiently developed. Technological, constructive, schematic, structural and structural algorithmic methods do not meet the requirements for methods of automatic correction of nonlinear characteristics without the use of high-precision standard measuring instruments and without disconnecting the measured value from the input, and even more so without interfering with the principles of construction and structure of sensors of non-electrical quantities. The purpose of the article is to study the proposed and developed algorithmic correction method based on the processing of measurement information, which can be applied to a wide class of transformation characteristics specified in the form of tables of input-output data, without special requirements for the degree of their nonlinearity.