• DocumentCode
    1797960
  • Title

    A data fusion method for the attitude of the floating production storage and offloading(FPSO) single-point mooring system based on the monitoring data

  • Author

    Dongmei Wang ; Da Tang ; Qianjin Yue ; Zhongmin Shi ; Jiaguo Feng

  • Author_Institution
    Comput. Sci. & Eng, Dalian Univ. of Technol., Dalian, China
  • fYear
    2014
  • fDate
    15-17 Nov. 2014
  • Firstpage
    987
  • Lastpage
    991
  • Abstract
    Aiming at the sensor measurement data error of the single point mooring attitude sensors in FPSO (floating production storage and offloading) during monitoring, this paper proposes a method of information fusion based on multi-sensor redundant monitoring. The method creates the multi-body dynamic motion equation of the FPSO single-point mooring system and builds containment relationships among the redundancy data which is based on monitoring data of multi-sensors installed on FPSO hull and mooring system. This method using nonlinear least square method can effectively correct the monitoring data error and improve the accuracy of the data constraints.
  • Keywords
    least mean squares methods; marine engineering; sensor fusion; storage; FPSO hull and mooring system; FPSO single-point mooring system; data fusion method; floating production storage and offloading; information fusion; monitoring data; multibody dynamic motion equation; multisensor redundant monitoring; nonlinear least square method; sensor measurement data error; single point mooring attitude sensors; Data integration; Equations; Estimation; Least squares approximations; Mathematical model; Monitoring;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems and Informatics (ICSAI), 2014 2nd International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4799-5457-5
  • Type

    conf

  • DOI
    10.1109/ICSAI.2014.7009429
  • Filename
    7009429