潜艇装备保障信息系统的设计研究

Design research of submarine equipment integrated logistic support information system

  • 摘要:
      目的  建立潜艇装备保障信息化管理系统,对保持和提高潜艇作战能力有重要作用。基于此,提出潜艇装备保障信息系统设计方法。
      方法  首先,基于功能需求分析和系统架构要点,确定总体设计思路,然后,以工作任务管理模块和数据收集与分发模块为切入点,进行信息系统设计; 在工作任务管理模块设计中,分析在信息高度相关时进行模块功能划分,将显示与业务逻辑分离的设计方法;在数据收集与分发模块设计中,以故障问题记录信息为例,论述综合保障信息总库数据和各基地级综合保障信息系统数据交互方法。
      结果  基于上述设计思路,完成了潜艇装备保障信息系统设计和开发,运行情况表明满足设计目标和部队使用需求,有效提升了部队保障管理的信息化水平。
      结论  提出的潜艇装备保障信息系统设计方案合理可行,系统运行过程中收集的保障信息数据,也为后续大数据分析和智能化应用提供了有力支撑。

     

    Abstract:
      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.

     

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