Research on key technologies of an integrated, intelligent SBA supporting environment

  • Authors:

  • Xudong Chai;Baocun Hou;Shuai Fan;Bo Hu Li;Wenhai Zhu;Shan Feng;Deyu Kong;Yuan Li;Weijing Wang

  • Affiliations:

  • Beijing Simulation Center, Beijing, China;Beijing Simulation Center, Beijing, China;Beijing University of Aeronautics and Astronautics, Beijing, China;Beijing Simulation Center, Beijing, China and Beijing University of Aeronautics and Astronautics, Beijing, China;Beijing Simulation Center, Beijing, China;Huazhong University of Science and Technology, China;Beijing University of Aeronautics and Astronautics, Beijing, China;Beijing University of Aeronautics and Astronautics, Beijing, China;Beijing Simulation Center, Beijing, China

  • Venue:
  • GCMS '09 Proceedings of the 2009 Grand Challenges in Modeling & Simulation Conference
  • Year:
  • 2009

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Abstract

Based on the research fruits of paper [1], the author introduces some new technologies into SBA collaborative supporting environment, including network technology (Internet/Web Service/Grid Computing), Artificial Intelligence and XMSF technology. Firstly, the author states a new integrated and intelligent infrastructure of SBA collaborative supporting environment which can fulfill the features and demands mentioned above; then some solved key technologies are explained in detail according to the latest research; at the end, good conclusions are verified by elementary application, which are, (1) the pre-setup prototype of SBA collaborative supporting environment are featured by networktized, intelligent, collaborative and integrated, as well as its good openness, security, extensibility and general, which can support the multidisciplinary team to collaboratively carry out the virtual R&D of complex products. (2) Combined with SBA integrated modeling, Hall of Workshop of Metasynthetic Engineering, Life-cycle cost model and integration framework, the environment supports multi-location, multi-group, multi-disciplinary simulation applications, SOS (System of Systems) and qualitative-quantitative analysis, and is also supportive to the management, share and reuse of various simulation resources, which are very suitable for the SBA procedure of complex product.