基于大数据分析的潜射武器健康状态评估

Health Status Evaluation of Submarine-launched Weaponsbased on Large Data Analysis

摘要:

针对潜射武器健康状态评估中的大数据分析问题,对大数据概念以及特点进行了论述,重点阐述了神经网络、群体智能、相关分析和粒计算四种大数据分析方法的主要思想、应用范围,提出了潜射武器健康状态评估与大数据分析技术相结合的技术路线；指出了当前大数据分析应用存在的存储问题、弱可用性问题、大数据建模问题；最后指出了大数据分析在潜射武器健康状态评估中应用的可行性。

Abstract:

As to health status evaluation for submarine-launched weapon based on large data analytics, this paper discusses concept and characteristic of large data, especially the main idea and application scope of four large data analysis methods, namely the neural network, swarm intelligence, correlation analysis and granular computing. A technical route of combining health status evaluation for submarine-launched weapons health status evaluation and large data analysis technology is proposed. And the problems of storage, weak availability and large data modeling existing in application of large data analysis are pointed out. Finally, application feasibility of large data analysis in health status evaluation for submarine-launched weapon is analysised.