Content Structure for Driving Object Parameters in Contextual Model of Engineering Structure

  • László HorváthEmail author
Conference paper
Part of the Mechanisms and Machine Science book series (Mechan. Machine Science, volume 75)


Advanced industrial product is operated by cooperating systems and can be considered as cyber physical system (CPS). To cope with engineering of this product, system level model should be considered to replace the conventional physical level model. System level modeling was enforced by high level products among others at leading aircraft and car industries. This makes the conventional dialogue-based model definition challenging. Moreover, recent efforts for integration of formerly separated models of engineering product made physical level product model system very complex. As contribution to solving the problem generated by the above new situation, this paper introduces a new modeling method and model structure which assists engineers at the definition of system level product model. The proposed solution uses thematically structured driving intellectual content model which can be integrated in the structure and methodology of system enabled engineering modeling platform. In the organization of this paper first new concept of extended CPS model is introduced. This is followed by explanation of structure and operation of the proposed driving content model. In the rest of paper issues of integration of the proposed contribution in leading industrial engineering modeling platform and implementation issues are discussed. Recent idea of harmonizing well grounded theory and proven experience in industrial product model for innovation cycle and lifecycle of product is considered.


System based engineering model Extended cyber physical system concept Thematically structured driving intellectual content model Knowledge driven object model Integration engineering areas in project 


  1. 1.
    Leitaoa, P., Colomboc, A.W., Karnouskose, S.: Industrial automation based on cyber-physical systems technologies: Prototype implementations and challenges. Comput. Ind. 81, 11–25 (2016)CrossRefGoogle Scholar
  2. 2.
    Sharma, S., Segonds, F., Maranzana, N., Chasset, D., Frerebeau, V.: Towards cloud based collaborative design—analysis in digital PLM environment. In: Product Lifecycle Management to Support Industry 4.0. PLM 2018. IFIP Advances in Information and Communication Technology, vol. 540, pp. 261–270. Springer, Berlin (2018)CrossRefGoogle Scholar
  3. 3.
    Horváth, L., Rudas, I.J.: Human intent representation in knowledge intensive product model. J. Comput. 4(10), 954–961 (2009)CrossRefGoogle Scholar
  4. 4.
    Horváth, L., Rudas, I.J.: Virtual intelligent space for engineers. In: Proceedings of the 31st Annual Conference of IEEE Industrial Electronics Society, pp. 400–405, Raleigh, USA (2005)Google Scholar
  5. 5.
    Horváth, L.: Supporting lifecycle management of product data by organized descriptions and behavior definitions of engineering objects. J. Adv. Comput. Intell. Intell. Inform. 11(9), 1107–1113 (2007)CrossRefGoogle Scholar
  6. 6.
    Kleiner, S., Kramer, C.: Model based design with systems engineering based on RFLP using V6. In: Smart Product Engineering, pp. 93–102. Springer, Berlin (2013)Google Scholar
  7. 7.
    Horváth, L., Rudas, I.J.: New approach to multidisciplinary content driving of engineering model system component generation. In: Book New Trends in Software Methodologies, Tools and Techniques, pp. 38–49. IOS Press, The Netherlands (2016)Google Scholar
  8. 8.
    Canedo, A., Schwarzenbach, E., Al Faruque, E.M.A.: Context-sensitive synthesis of executable functional models of cyber-physical systems. In: Proceedings of the 2013 ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS), pp. 99–108. Philadelphia, PA, USA (2013)Google Scholar
  9. 9.
    Maksimovic, M., Al-Ashaab, A., Shehab, E., Flores, M., Ewers, P., Haque, B., Furian, R., von Lacroix, F., Sulowski, R.: Industrial challenges in managing product development knowledge. Knowl.-Based Syst. 71, 101–113 (2014)CrossRefGoogle Scholar
  10. 10.
    Gomez, E., Adli, H., Fernandes, C., Hagege, M.: System engineering workbench for multi-views systems methodology with 3DEXPERIENCE platform. the aircraft radar use case. In: Complex Systems Design and Management Asia, pp. 269–270 (2016)Google Scholar
  11. 11.
    Lefèvre, J., Charles, S., Bosch-Mauchand, M., Eynard, B., Padiolleau, É.: Multidisciplinary modelling and simulation for mechatronic design. J. Des. Res. 12(1–2), 127–144 (2014)Google Scholar
  12. 12.
    Horváth, L., Rudas, I.J.: Information content driven model for virtual engineering space. Acta Polytech. Hung. 15(2), 7–32 (2018)Google Scholar
  13. 13.
    Baughey, K.: Functional and logical structures: a systems engineering approach. In: SAE 2011 World Congress, SAE Technical Paper 2011-01-0517 (2011)Google Scholar
  14. 14.
    Horváth, L.: Contextual knowledge content driving for model of cyber physical system. In: Proceedings of the 15th International Conference on Control, Automation, Robotics and Vision, pp. 1845–1850. Marina Bay Sands Expo and Convention Centre, Singapore (2018)Google Scholar
  15. 15.
    Blades, E.L., Miskovish, R.S., Luke, E.A., Collins, E.M., Kurkchubashe, A.G.: A multiphysics simulation capability using the SIMULIA co-simulation engine. In: Proceedings of the 20th AIAA Computational Fluid Dynamics Conference, pp. 1–16. Honolulu, Hawaii, (2011)Google Scholar
  16. 16.
    Horváth, L.: New method for definition of organized driving chains in industrial product model. In: Proceedings of the 2017 IEEE International Conference on Industrial Technology (ICIT 2017), pp. 1183–1188. Toronto, Canada (2017)Google Scholar
  17. 17.
    Ambroisine, T.: Mastering increasing product complexity with collaborative systems engineering and PLM. In: Proceedings of the Embedded World Conference, pp. 1–8. Nürnberg, Germany (2013)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Óbuda UniversityBudapestHungary

Personalised recommendations