基于大数据分析的直升机质量监管系统设计

Design of Helicopter Quality Supervision System Based on Big Data Analysis

针对直升机装备质量管理数据分散、使用效率低下问题,提出了一种基于大数据分析的直升机质量监管方法。系统性介绍了直升机质量监管系统能力特征、技术架构模型,深入研究基于多源异构数据混合处理、可视化模型管理与多维信息聚合与动态展现等技术难点,构建了智能化直升机质量控制和应变决策手段,推动装备建设管理和保障模式创新,为提升直升机装备作战能力提供理论和技术指导。

In order to solve the problems of scattered data and inefficient use in helicopter equipment quality management,a helicopter quality supervision method based on big data analysis is proposed.The capability characteristics and the technical architecture model of the helicopter quality supervision system are systematically introduced,and the technical difficulties are deeply studied,such as the mixed processing of multi-source heterogeneous data,visual model management and multi-dimensional information aggregation and dynamic display.Then,the intelligent helicopter quality control and contingency decision-making methods are established,promoting equipment construction management and security pattern innovation and providing theoretical and technical guidance for improving helicopter equipment operational capabilities.