Abstract:
The work has developed an integrated system for monitoring and forecasting the flow of continuous technological processes for the final stage of carbon black production, namely the drying process. The purpose of the work is determined: solving the problem of identifying technological processes of continuous production to determine the structure of a dynamic object from the output signal, the structure of its operator based on the structural properties of linear operators and compiling a set of output signals of a continuous technological process. The problems of information recovery for dynamic systems are also outlined. A review of work in the field of identification of systems associated with time series is provided. The technological process for drying granulated carbon black, the limiting values of numerical indicators of the processing process and a list of requirements for the process of automatic stabilization of the temperature of carbon black at the outlet of the drying drum are given. An integrated information system for monitoring and forecasting the state of continuous production has been developed and the mathematical basis for its development is given. The stages of the developed methods for the operator of a dynamic system and the identification and prediction of the state of dynamic systems are determined. A system for monitoring and forecasting the state of continuous production has been implemented in the Python programming language using third-party libraries NumPy, SymPy, matplotlib. Testing of information technology methods for monitoring the technological parameters of the operating mode of a carbon black drying unit was carried out.
