Intellectualization of the data processing in the industrial automatization on the basis of modern equipment

Abstract

One of the most important problems of the fast expanding information society is the management of real complex systems based on the processing and analysis of big data flows. Uncertainty and dynamic nature of the factors in the system make it difficult to predict the behaviour of the complex systems. This paper focuses on the development of the intellectualization of the data processing in the complex systems of the industrial automatization with the Schneider Electric and Siemens equipment. The proposed technology opens a wide range of possibilities for the establishment of multilateral information exchange between the intelligent management system, based on the biological approach artificial immune system (AIS), and the real object, providing additional opportunities for control, diagnostics, and data analysis in industrial environments. The advantage of this approach is connected with the intellectualization of the data collection and data processing from the dynamic industrial management objects, which combines the use of modern production equipment and the latest development of artificial intelligence. AIS approach uses the principles of molecular recognition based on the space-time series. AIS technology helps to improve the accuracy of the predicted processes through the use of estimation algorithms of the errors and trough the decrease of the generalization error based on the analysis of homologous proteins. The results of the experiment were carried out on the basis of modern microprocessor technology of the Schneider Electric company using the Modicon M340 programmable logic controller and on the basis of Siemens equipment (S7-300). The analysis of the collected information was carried out with the help of the developed software, realized in the MATLAB application package on the basis of AIS.