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Shil’nikova O.

Degree	Assistant, National Research University «MPEI»: Smolensk branch, the сhair «Technological machines and equipment»
E-mail	tmo@sbmpei.ru
Location	Smolensk
Articles	Simulation modeling of chemical kinetics controlled processes Emergencies that sometimes arise in the chemical industry (for example, in Sivezo and Bhopal), which caused the human casualties and pollution of the environment, cause the introduction of increased requirements for the qualification of Chemical Engineers. The methodology of designing chemical reactors should include the monitoring and analysis of security. Therefore, the process design of chemical reactors consists not only of perform calculations, drawing creation and writing technical documentation of the reactor. Construction of the reactors is not possible without creating process models and simulators for personnel, taking into account risk situations. Thus, when constructing the reactor are required: chemical kinetic model that can be represented by means of differential equations, and model of discrete control system, which, as a rule, can’t be described by differential equations. Therefore there is a need for a comprehensive discrete-continuous computer models. V. V. Kafarov was one of the world’s greatest scientists, who created a powerful scientific impetus for the development of chemical cybernetics. His works became the foundation for further research in our country and abroad. The unified method of discrete-continuous simulation applied for controlled chemical reactions is considered in this paper. Simulation model includes two components: the continuous and discrete components. Continuous component performs modeling of chemical kinetics. Discrete components is used to simulate and optimize the system control of the reactor. Matrix of tuples is used for easy selection optimal conditions of the reactor operating. Optimization is performed by varying two parameters: the reaction temperature and pressure in the reactor. Read more... Production programs optimization based on the simulation results Develop and implement programs of industrial production is a step by step procedure perform one or more processes. Demand program is executed on the basis of both the actual statistical data and simulation results. Modeling is necessary due to the fact that not all the parameters of governmental processes are known with a satisfactory level of significance. It uses various methods of modeling. Most process design engineers are not able to create a mathematical model for the process analysis. In such cases, combined models are used: a simulation model of discrete control systems engineers is used, and the physical, chemical and other create products processes are represented by analytical mathematical model. Both are components of a complex model, and performed in the same virtual time. As a result of simulation obtained all the missing process parameters are measured their confidence intervals. Next, engineers must choose the optimization method for the production program created, and can two opposite situation. First: the response surface obtained in the simulation can be approximated with reasonable certainty by means of linear or nonlinear mathematical form. Then, it is theoretically possible to use linear programming, nonlinear programming and gradient methods. Second: the response surface did not found in the simulation. However, there are simulation results that can be used to produce versions of the program. In this case remains one method available: dynamic programming. This article describes the combined using of simulation and dynamic programming to optimize production programs. Read more... Simulation of the process developing MIS and supporting its working capacity The objectives of the company, including the improving the quality of processes and products, changes in the internal and external environment — these are the main reasons for the continuous modernization of automation with the aim of enhancing the efficiency, automate processes throughout the enterprise. Vitality — is an opportunity to realize the goal of management information system (MIS) operation in cases of adverse effects. Mechanisms to ensure vitality while can be very diverse. For example, it can be generated the new information process, which implements the purpose of the information system. Such an opportunity will characterize the information system the possession of properties vitality. Some mechanisms of adaptation, compensation, recognition, reconstruction, reconfiguration and reengineering are the technological basis of the dynamic functional MIS-system reorganizations. Obviously, vitality information system may, on the one hand, be considered as its objective property that depends on the subject, audience, time, and on the other hand — as a characteristic that they want to give it in the case of artificial formation, such as during the information operations. At every stage of the life cycle the MIS-system its corresponding version is used. The new versions bring new defects in the system in addition to the positive properties. Evolution is the process of structural and functional changes during its life cycle at the system. This article deals with the evolution model of the management information system in presence of defects, diagnose and extract them. Modelling of developing information management system and supporting of its working ability is an actual problem to be solving. Read more...