Data acquisition system with low-accuracy sensors

The paper deals with improving the accuracy of the sensors under influence of non-informative factors. There are described the generalized block diagram of the data acquisition system and its measurement channels which provide the sensors signal processing. The generalized block diagram of the calculation process is proposed, and the structure of used neural networks is shown. Both scheme and algorithm of data processing are described. The measurement error of the proposed system was evaluated. It confirmed that proposed system adds the error of 0.32% which is very small in comparison with the etalon mean of 1%. The proposed system allows use of the sensors with a significant influence of non-informative factors.