Conclusions
We have considered the classification of the errors in automatic monitoring of the composition of complex substances using the method of indirect measurements.
To reduce the errors in approximating the relationships between the concentrations of the components sought and the measured parameters it is proposed to process the results of the investigations of these relationships using linear programming methods.
It is shown that it is possible to reduce the computational error by computing the concentrations of the components on a digital computer.
Similar content being viewed by others
Literature cited
V. A. Il'in and É. G. Poznyak, Principles of Mathematical Analysis [in Russian], Nauka, Moscow (1967).
A. B. Rozenblit, Investigation of a System for Automatic Indirect Monitoring of the Composition of Multicomponent Substances [Dissertation in Russian], DKhTI, Dnepropetrovsk (1966).
R. B. Popov, in the Collection of Works of the Institute of Automation: Automation of the Analysis of the Chemical Composition of Industrial Substances [in Russian], No. II, UkrNIINTI, Kiev (1966).
I. S. Berezin and N. P. Zhidkov, Computational Methods [in Russian], Vol. I, Nauka, Moscow (1966).
L. V. Kantorovich, Sibirsk. Matem. Zh.,3, No. 5 (1962).
L. I. Avdeeva, in: Economic Cybernetics and the Study of Operations [in Russian], No. II, Institute of Cybernetics of the Academy of Sciences of the Ukrainian SSR, Kiev (1967).
D. B. Yudin and E. G. Gol'shtein, Problems and Methods in Linear Programming [in Russian], Sov. Radio, Moscow (1964).
B. T. Polyak and B. I. Shostakovskii, in; Computing Methods and Programming [in Russian], No. 9, Izd. MGU (1967).
Additional information
From materials of the First All-Union Scientific-Technical Conference on Metrology and Accurate Measurement Techniques, 1968.
Translated from Izmeritel'naya Tekhnika, No. 6, pp. 62–64, June, 1970.
Rights and permissions
About this article
Cite this article
Reshetnik, V.Y., Rozenblit, A.B. Minimization of the errors in automatic monitoring of the composition of multicomponent substances. Meas Tech 13, 903–907 (1970). https://doi.org/10.1007/BF01061560
Received:
Issue Date:
DOI: https://doi.org/10.1007/BF01061560