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Research on the Development Trend of Ship Integrated Power System Based on Patent Analysis

  • Rongying Zhao
  • Danyang LiEmail author
  • Xinlai Li
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 165)

Abstract

We can understand the technical strength and invention dynamic of other countries in this respect, and clarify the current technical theme and core technology by studying the patents’ status of foreign ship integrated power system, so as to accumulate experience and provide a reference for the development of ship technology in China. This paper demonstrates the development trend from the perspectives of technology development life cycle and direction of research and development based on the research about ship integrated power system, using the methodologies and tools of social network clustering, technology life cycle S curve, visual analysis, and so on. And the direction of research and development is illustrated from three aspects including technology concentration, industry concentration, and regional diffusion. The foreign ship integrated power system has entered the phase of rapid growth and Japan and South Korean are very competitive in this domain.

Keywords

Patent analysis Ships Integrated power system (IPS) Life cycle Direction of research and development 

Notes

Acknowledgements

This paper is supported by the National Social Science Foundation in China (Grant No. 18ZDA325)

References

  1. 1.
    Lijun, F., Liu, L., Wang, G., Ma, F., Ye, Z., Ji, F., Liu, L.: The research progress of the medium voltage DC integrated power system in China. Chin. J. Ship Res. 11(01), 72–79 (2016)Google Scholar
  2. 2.
    Ma, W.: Electromechanical power conversion technologies in vessel integrated power system. J. Electr. Eng. 10(04), 3–10 (2015)Google Scholar
  3. 3.
    Project Napier sees twin-track plan adopted to resolve Type 45 problems, Warship Technology. https://www.rina.org.uk/2016_Editions3.html, 2016(7/8), 13–16 (2018)
  4. 4.
    Brockhoff, K.: Instruments for patent data analysis in business firms. Technovation 12, 41–58 (1992)CrossRefGoogle Scholar
  5. 5.
    Kong, D., Wang, K.: To Assess a technology investment based on patent data——from an empirical analysis on express logist. J. Tech. Econ. Manage. 8, 14–20 (2018)Google Scholar
  6. 6.
    Stratopoulos, T., Charos, E., Chasros, K.: A translog estimation of the average cost function of the steel industry with financial accounting data. Int. Adv. Econ. Res. 6(2), 271–286 (2000)CrossRefGoogle Scholar
  7. 7.
    Li, C., Huang, B.: Judgment for the technology life cycle of 3D printing based on S Curve. Sci. Technol. Econ. 2, 91–95 (2017)Google Scholar
  8. 8.
    Shi, M., Wang, J., Zhou, X., Yiyuan, H., Zhao, Z.: An empirical research on the field of wireless charging based on patent life length. High Technol. Lett. 1, 95–102 (2018)Google Scholar
  9. 9.
    Yang, X., Yu, X., Liu, X.: A study on patent intelligence analysis approach based on multi-level perspective theory—taking graphene technology as an example. J. Intell. (8), 64–70, 91 (2018)Google Scholar
  10. 10.
    Zhang, T., Chi, H., Ouyang, Z.: Study on the competitive situation of surgical robot based on patent analysis. China Med. Equip. 7, 119–123 (2018)Google Scholar
  11. 11.
    He, Y.D., Fan, W., Yu, J., Wang, Y., Yu, X.Z.: Technology innovation information research based on patent life cycle. J. Intell. (7), 73–77, 72 (2017)Google Scholar
  12. 12.
    Wang, J., Zhang, Y.: Technology prediction of China’s robot development based on conceptual model of patent analysis. J. Intell. 33(11), 83–87, 45 (2014)Google Scholar
  13. 13.
    Liu, D., Chen, H.: Study on the R&D trends, life cycle, advanced technology and factors of coal liquefaction technology: evidence from patent analysis. J. Intell. 7, 52–58 (2017)Google Scholar
  14. 14.
    Dengke, Yu., Xiong, S., Chen, L.: Space-time laws of emerging agricultural technology diffusion: taking patent technology of agricultural drones for example. J. Anhui Agr. Sci. 26, 5–10 (2018)Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Research Center for Chinese Science Evaluation, Wuhan UniversityWuhanChina
  2. 2.School of Information ManagementWuhan UniversityWuhanChina

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