Remote Monitoring the Parameters of Interest in the 18O Isotope Separation Technological Process

This manuscript presents the remote monitoring of main parameters in 18O isotope separation technological process. It proposes to monitor operation five cracking reactors production system, respectively, temperature preheating furnaces, converter and reactors. In addition, it performs two columns from cascade structure, concentrations produced input nitric oxides flows. Even if process is continuously monitored by teams operators, professionals who designed technical those can remotely have possibility intervene with view making necessary adjustments. Based on processing experimental data, which was gathered actual plant, proposed original model functioning developed. The computer system structure runs mathematical parallel real plant estimates several signal values, are essential be known operators order make appropriate decisions regarding operation. associated final column modeled as a fractional-order variable adjustable differentiation order, represents another aspect. Neural networks been employed implement model. accuracy, validity efficiency demonstrated through simulation results presented part manuscript.