YIN A, XU Z S, CAO T X. Design research of submarine equipment integrated logistic support information system[J]. Chinese Journal of Ship Research, 2020, 15(6): 190–196. doi: 10.19693/j.issn.1673-3185.01926
Citation: YIN A, XU Z S, CAO T X. Design research of submarine equipment integrated logistic support information system[J]. Chinese Journal of Ship Research, 2020, 15(6): 190–196. doi: 10.19693/j.issn.1673-3185.01926

Design research of submarine equipment integrated logistic support information system

  •   Objectives  The establishment of integrated logistic support (ILS) information systems for submarine equipment plays an important role in maintaining and improving submarine combat capability. Based on this, a design method of submarine equipment ILS information systems is proposed.
      Methods  First of all, the overall design solution is determined based on a functional requirements analysis and the key points of the system architecture design. Then, the task management module, data collection, and distribution module are taken as a cut-in point to explain the design idea. In the design of the task management module, the design method entailing module function division, and display and business logic separation when the information is highly connected, are analyzed. In the design of the data collection and distribution module, taking the fault record information as an example, the data interaction method between the overall ILS information database and the ILS information database at each depot level is discussed.
      Results  Based on the above design ideas, the design and development of submarine equipment ILS information systems have been completed. The operation of the system shows that it meets the design objectives and user requirements, and effectively improves the informationization level of military support management.
      Conclusions  The design scheme of submarine equipment ILS information systems proposed is reasonable and feasible. The data collected in the process of system operation also provides strong support for subsequent big data analysis and intelligent application.
  • loading

Catalog

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return