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EN
A new technique for processing of industrial monitoring data is developed and used to study the production of hydrogen cyanide via oxidative ammonolysis of methane by the Andrussov method. A mathematical model of the ammonolysis process is developed, based on the Brandon method. Analysis of the industrial monitoring data by means of the developed technique leads to conclusions not available from laboratory experiments. Based on the obtained results a new technological regime for hydrogen cyanide production by the Andrussov method is proposed and tested under industrial conditions.
EN
The increasing quality requirements and high level of automation in process engineering causes the need for continuous monitoring of many parameters important for the technological processes. Continuous monitoring of operation is of great importance, also in the broadly understood area of water supply. Along with the increasing environmental pollution, and accompanied growing scarcity of drinkable water and worsening of its quality, it is very important to monitor the performance of water treatment processes, physical, chemical and biological parameters of raw and treated water, and condition of water supply installations. Remote industrial monitoring becomes indispensable for water supply companies, at least because of their diffused infrastructure. Transfer of data between specific technical objects is necessary for controlling their operation and for functioning of the entire water supply system. The experience related to operation of industrial monitoring systems points to their high utility value in both functional and analytical ranges. It may be stated that those systems fulfill their tasks, and their on-going development due to the progress in computer, measurement and remote transmission technologies possibly will bring measurable operational and economic benefits.
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