Skip to main content
SpringerLink
Log in

Emergency design framework: a satellite preliminary scheme design

  • Research Article
  • Published:
Frontiers of Mechanical Engineering in China Aims and scope Submit manuscript

Abstract

The emergency design of mechanical products or equipment (such as a satellite) is significant for disaster relief when the natural disasters occur. Most of us are unaware about the little information that is available in literature about emergency designs. Against the background of the preliminary scheme design of satellite payloads, emergency design was studied in the case of natural disasters. We presented some definitions about emergency design. Then, we proposed the basic ideas of how to realize the emergency design. These ideas were inspired by two aspects: 1) the evolutionary algorithms, the agent, the human-computer cooperation, and the collaborative design theory; 2) the emergency behaviors in ant colonies. Following the ideas, first we constructed the human-computer cooperation agents (hereinafter called the HC-Agents) that combine the human intelligence with evolutionary algorithms. These HC-Agents had specific features like the division of labor in the ant colony. Second, we developed the multiagents cooperative design system on the basis of a hybrid P2P (peer-to-peer) model. Therefore, the emergency design system has shown some capabilities, such as anti-interference, adaptation, and rapid response.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Rodrigo M V, Hedo J M. Analysis of evacuation strategies for design and certification of transport airplanes. Aircraft J, 2000, 37(3): 440–447

    Google Scholar 

  2. Jonckheere E A, Yu G R, Chien C C. Gain scheduling for lateral motion of propulsion controlled aircraft using neural networks. In: Proc American Control Conf. Albuquerque, IEEE, 1997, 3 321–3 325

  3. Cutchis P N, Smith D G, Ko H W, et al. Development of a lightweight portable ventilator for far-forward battlefield combat casualty support. In: Proc Battlefield Biomedical Technologies. Bellingham: SPIF, 1999, 3712: 48–55

    Google Scholar 

  4. Dragff Y G. Design of a highly reliable safety critical emergency shutdown system. Reliability Engineering and System Safety, 1998, 61(3): 215–227

    Article  Google Scholar 

  5. Subramanyam S, Crowe K E. Rapid design of heat sinks for electronic cooling using computational and experimental tools. In Proc: IEEE Semiconductor Thermal Measurement and Management Symposium. Oakland: IEEE Press, 2000, 243–251

    Google Scholar 

  6. Dahnus J B, Gonzale-Zugasti J P, Otto K N, et al. Modular product architecture. In: ASME Design Theory and Methodology Conference. Baltimore, MD: ASME, 2000, DECT2000/DTM-14565

    Google Scholar 

  7. Gu P, Hashemian M, Nee A Y C. Adaptable design. Annals of CIRP, 2004, 53(1): 1–19

    Google Scholar 

  8. Silveira G D, Borenstein D F, Fogliatto S. Mass customization: literature review and research directions. International Journal of Production Economics, 2001, 72(1): 1–13

    Article  Google Scholar 

  9. Huang G Q, Ma K L. Web-based collaborative conceptual design. Journal of Engineering Design, 1999, 10(2): 183–194

    Article  Google Scholar 

  10. Gero J S. Concept formation in design. Knowledge-Based System, 1998, 11(7–8): 429–435

    Article  Google Scholar 

  11. Chiou S J, Kota S. Automated conceptual design of mechanisms. Mechanism and Machine Theory, 1999, 34(3): 467–495

    Article  MATH  Google Scholar 

  12. Wang X J, Li D Y. Satellite Design Methodology. Shanghai: Shanghai Scientific and Technical Publishers, 1997

    Google Scholar 

  13. Myung S, Han S. Knowledge-based parametric design of mechanical products based on configuration design method. Expert Systems with Applications, 2001, 21(2): 99–107

    Article  Google Scholar 

  14. Alexander F, Gerhard F, Dietmar J. Conceptual modeling for configuration of mass-customizable products. Artificial Intelligence in Engineering, 2001, 15(2): 165–176

    Article  Google Scholar 

  15. Grignon P M, Georges M F. A GA based configuration design optimization method. Journal of Mechanical Design, 2004, 126(1): 6–15

    Article  Google Scholar 

  16. Cagan J, Shimada K, S Yin. A survey of computational approaches to the three-dimensional layout problems. Computer-Aided Design, 2002, 34(3): 597–611

    Article  Google Scholar 

  17. Burke E K, Cowling P, Landa S J D. Hybrid population-based meta-heuristic approaches for the space allocation problem. In: Proc IEEE Evol Comput. Seou: IEEE, Vol 1, 2001, 232–239

    Google Scholar 

  18. Sun Z G, Teng H F. Optimal layout design of a satellite module. Engineering Optimization, 2003, 35(5): 513–529

    Article  Google Scholar 

  19. Saaty T L. The Analytic Hierarchy Process. New York: McGraw Hill, 1980

    MATH  Google Scholar 

  20. Joo H M, Chang S K. Application of fuzzy decision making method to the evaluation of spent fuel storage options. Progress in Nuclear Energy, 2001, 39(3–4):345–351

    Google Scholar 

  21. Liu Z W, Deng S E, Teng H F. Multi-persons synergy based AHP and its application in evaluation to satellite cabin’s layout schemes. In: Proceedings of 6th International Conference on Frontiers of Design and Manufacturing. Beijing: Science Press, 2004: 994–995

    Google Scholar 

  22. Dorigo M. Optimization, Learning and Natural Algorithms. Italy: DEI, Politecnico diMilano, 1992

    Google Scholar 

  23. M Dorigo, Gambardella L M. Ant colony system: a cooperative learning approach to the traveling salesman problem, IEEE Transaction on Evolutionary Computation, 1997, 1(1): 53–66

    Article  Google Scholar 

  24. Thomas S, Holger H H. Max-min ant system. Future Generation Computer Systems, 2000, 16(8): 889–914

    Article  Google Scholar 

  25. Lee Z J, Lee C Y, Su S F. An immunity-based ant colony optimization algorithm for solving weapon-target assignment problem. Applied Soft Computing, 2002, 2(1): 39–47

    Article  MathSciNet  Google Scholar 

  26. Dréo J, Siarry P. Continuous interacting ant colony algorithm based on dense hierarchy. Future Generation Computer Systems, 2004, 20(5): 841–856

    Article  Google Scholar 

  27. Maniezzo V, Colorni A. The ant system applied to the quadratic assignment problem. IEEE Transaction on Knowledge and Data Engineering, 1999, 11(5): 769–778

    Article  Google Scholar 

  28. Babaoglu O, Meling H, Montresor A. Anthill: A framework for the development of agent-based peer-to-peer systems. In: Proceedings of the International Conference on Distributed Computing Systems. Oakland: IEEE Press, 2002, 15–22

    Google Scholar 

  29. Sendova-Franks A B, Franks N R. Spatial relationships within nests of the ant leptothorax unifasciatus (Latr) and their implications for the division ff labor. Animal Behavior, 1995, 50(1): 121–136

    Article  Google Scholar 

  30. Sendova-Franks A B, Franks N R. Division of labor in a crisis: Task allocation during colony emigration in the ant leptothorax unifasciatus (Latr). Behavioral Ecology and Sociobiology, 1995, 36(4): 269–282

    Google Scholar 

  31. Backen S J, Sendova-Franks A B, Franks N R. Testing the limits of social resilience in ant colonies. Behavioral Ecology Sociobiology, 2000, 48(2): 125–131

    Article  Google Scholar 

  32. Liu J, Teng H F. Human-genetic algorithm cooperation and its interface. In: Proc 5th Asia Pacific Conf Computer Human Interaction. Beijing: Science Press, 2002, 11:378–387

    Google Scholar 

  33. Shi Y J, Wang Y S, Teng H F, et al. P2PCDS: A hybrid P2P modelbased cooperative design system. In: Proceedings of the 11th ISPE International Conference on Concurrent Engineering: Research and Applications. Beijing: Tsinghua Press, 2004: 63–67

    Google Scholar 

  34. Wood R M, Bauser S X S. Discussion of knowledge-based design. Journal of Aircraft, 2002, 39(6): 1 053–1 060

    Article  Google Scholar 

  35. Lenat D B, Feigenbaum E A. On the thresholds of knowledge. Artificial Intelligence, 1991, 47(1): 185–230

    Article  MathSciNet  Google Scholar 

  36. Qian Z Q, Teng H F, Xiong D L, et al. Human-computer cooperation genetic algorithm and its application to layout design. In: Proceedings of the 4th Asia-Pacific Conference on Simulated Evolution and Learning. Singapore, Orchid Country Club, 2002: 299–302

    Google Scholar 

  37. Teng H F, Zhang B, Shi Y J, et al. Human-computer cooperative evolutionary algorithm: General format description and application. In: Proceedings of the 11th ISPE International Conference on Concurrent Engineering: Research and Applications. Beijing: Tsinghua Press, 2004, 1 093–1 097

    Google Scholar 

  38. Takagi H. Humanized computational intelligence with interactive evolutionary computation. In: Computational Intelligence: the expert speak, Fogel D B and Robinson C J. Ed IEEE Press, 2003

  39. Clarke I, Sandberg O, Wiley B, et al. Freenet: A distributed anonymous information storage and retrieval system. In: Proceedings of the ICSI Workshop on Design Issues in Anonymity and Unobservability, Germany: Springer-Verlag, 2000, 46–66

    Google Scholar 

  40. Parameswaran M, Susarla A, Whinston A B. P2P Networking: An information sharing alternative. Computer, 2001(7): 31–38

  41. Zhang B, Teng H F. Multi-swarms particle swarm optimization for satellite cabin layout. Chinese Journal of Mechanical Engineering, 2005, 18(4): 532–538

    Google Scholar 

  42. Shi Y J, Wang Y S, Teng H F. A hybrid P2P-based architecture for collaborative engineering design. In: Proceedings of 10th International Conference of CSCW in Design, Nanjing, IEEE Press, 2006, 1: 312–317

    Google Scholar 

  43. Shi Y J, Teng H F, Li Z Q. Cooperative co-evolutionary differential evolution for function optimization. Lecture Notes in Computer Science, 2005, 3611: 1 075–1 083

    Article  Google Scholar 

  44. Zeng W, Shi Y J, Teng H F. CAD system of satellite cabin layout: Several key techniques in secondary development of Pro/Engineer. Journal of Computer-aided Design and Computer Graphics, 2005, 17(11): 2 574–2 578 (in Chinese)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Mechanical Engineering, Dalian University of Technology, Dalian, 116024, China

    Teng Hongfei, Wang Yishou & Zhang Bao

Authors
  1. Teng Hongfei
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Wang Yishou
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Zhang Bao
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Teng Hongfei.

Additional information

Translated from Journal of Dalian University of Technology, 2006, 46(2): 220–227 [译自: 大连理工大学学报]

Rights and permissions

Reprints and permissions

About this article

Cite this article

Teng, H., Wang, Y. & Zhang, B. Emergency design framework: a satellite preliminary scheme design. Front. Mech. Eng. China 2, 184–192 (2007). https://doi.org/10.1007/s11465-007-0031-9

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11465-007-0031-9

Keywords

Search

Navigation