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Intellectualization of the Data Processing in the Industrial Automatization on the Basis of Modern Equipment

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Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016 (IntelliSys 2016)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 15))

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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.

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Author information

Authors and Affiliations

  1. Intellectual Control Systems and Forecasting, Institute of Information and Computing Technologies, IICT, Almaty, Kazakhstan

    Galina A. Samigulina

  2. Department of Automation and Control, Institute of Information and Telecommunication Technologies, Satpayev Kazakh National Technical Research University, KazNTRU, Kazakh British Technical University, KBTU, Almaty, Kazakhstan

    Zarina I. Samigulina

Authors
  1. Galina A. Samigulina
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  2. Zarina I. Samigulina
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Corresponding author

Correspondence to Galina A. Samigulina .

Editor information

Editors and Affiliations

  1. Faculty of Computing and Engineering, School of Computing and Mathematics, University of Ulster at Jordanstown, Newtownabbey, United Kingdom

    Yaxin Bi

  2. The Science and Information (SAI) Organization, Bradford, West Yorkshire, United Kingdom

    Supriya Kapoor

  3. The Science and Information (SAI) Organization, Bradford, West Yorkshire, United Kingdom

    Rahul Bhatia

Appendix

Appendix

In the Table 1 there is presented the fragment of the database, which is obtained by using the OPC technology and contains the parameters of the complex system behaviour.

Table 2 presents the results of the image recognition according to the Algorithm 2.

Table 2. Results of the image recognition
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Samigulina, G.A., Samigulina, Z.I. (2018). Intellectualization of the Data Processing in the Industrial Automatization on the Basis of Modern Equipment. In: Bi, Y., Kapoor, S., Bhatia, R. (eds) Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016. IntelliSys 2016. Lecture Notes in Networks and Systems, vol 15. Springer, Cham. https://doi.org/10.1007/978-3-319-56994-9_9

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  • DOI: https://doi.org/10.1007/978-3-319-56994-9_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-56993-2

  • Online ISBN: 978-3-319-56994-9

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