The use of spatially distributed technological objects in industry and production systems is an ever-increasing trend. The optimal coordination algorithm is used in the information technology for the control of preparation and packaging of dairy products based on SCADA/HMI. The optimizing task is solved by genetic algorithm. In the process of coordination is carried out resource allocation and synchronization of technological lines. The results obtained ensure reduction of losses from equipment downtime and increase the production efficiency
Słowa kluczowe: Resource Allocation, Synchronization, Genetic algorithms, Local Control Systems
Optymalny algorytm koordynacji wykorzystywany jest w technologii informacyjnej do kontroli przygotowania i pakowania produktów mlecznych w oparciu o SCADA / HMI. W procesie koordynacji prowadzona jest alokacja zasobów i synchronizacja linii technologicznych. Uzyskane wyniki zapewniają redukcję strat spowodowanych przestojem sprzętu i zwiększają wydajność produkcji.
Keywords: Alokacja zasobów, synchronizacja, algorytmy genetyczne, lokalne systemy sterowania
The use of spatially distributed technological objects in industry and production systems is an ever-increasing trend. One of the first fundamental overview of distributed processes control systems was in the work of Golemanov . The isolated action of these objects often leads to numerous problems and generates a high degree of uncertainty in making managerial decisions. Objects can have different goals and constraints, various parameters of productivity and efficiency, therefore to achieve a common goal it is necessary to organize their complex interaction [2-4]. The problem of decision making coordination in the control of production systems is particularly relevant. Researchers have dedicated a lot of attention to formulation of coordination control in complex systems and methods of their solutions, as evidenced by the significant number of publications that have appeared in recent decades [5-6]. In this work, we consider mainly iterative and non-iterative coordination algorithms. With the non-iterative algorithm, the result of optimal coordination is achieved through a single information exchange between levels of the control hierarchy. The disadvantage of this method is the high complexity of the calculations. In the iterative algorithm, the optimal solution is associated with multiple exchanges of information between the center and the elements. In this case, the drawback consists in a significant number of iterations and, consequently, a long calculation time. The disadvantage of this method is the high complexity of the calculations. In the iterative algorithm, the optimal solution is associated with multiple exchanges of information between the center and the elements. In this case, the drawback consists in a significant number of iterations and, consequently, a long calculation time. A series of works carried out with the participation of authors [7-9] is devoted to the tasks of model development and coordinat [...]
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