为探索多维数据分析与人工智能技术在弹药试验中的应用前景,对这2项技术未来如何优化弹药试验流程、提升试验效率和设计精度进行了详细分析。首先,回顾了弹药试验中的数据采集技术,介绍了如何利用多维数据分析方法提取关键信息。接着,重点探讨了人工智能在数据处理、模型构建及性能评估中的应用,提出了多维数据分析与人工智能技术的协同工作模式,强调了数据融合、异常检测、特征选择等方法在弹药试验中的重要性。此外,进一步分析了其在辅助弹药设计优化中的潜力,阐述了如何通过人工智能技术实现数据驱动的设计空间探索与高效的仿真加速。然后,探讨了在实际应用中面临的数据质量与稀缺性、高维数据处理与融合、模型可解释性与可靠性和模型适应性问题。最后,展望未来研究方向,提出了由多维数据分析与人工智能技术催生的弹药试验智能化平台、实时数据反馈系统和虚拟仿真等应用前景。随着技术的进步,多维数据分析和人工智能技术将在弹药试验智能化发展过程中发挥越来越重要的作用,为军事装备的研发提供了更加精准、高效和低成本的技术支持。
Abstract
The work aims to explore the application prospects of multidimensional data analysis and artificial intelligence (AI) in ammunition testing, and conduct a comprehensive analysis on ways to use these technologies to optimize test procedures, enhance testing efficiency, and improve design precision. First, it reviews current data acquisition techniques in ammunition testing and introduces methods for extracting key insights using multidimensional data analysis. Then, it discusses the application of AI in data processing, model development, and performance evaluation and proposes a collaborative framework integrating multidimensional data analysis and AI, emphasizing the roles of data fusion, anomaly detection, and feature selection in testing processes. Furthermore, the potential of AI to support ammunition design optimization is explored, including its capability to enable data-driven design space exploration and accelerate simulation processes efficiently. The study also discusses practical challenges, such as data quality and scarcity, high-dimensional data integration, model interpretability and reliability, and adaptability to complex scenarios. Looking ahead, the paper envisions future research directions, including the development of intelligent testing platforms, real-time data feedback systems, and virtual simulation environments empowered by multidimensional data and AI technologies. As these technologies continue to advance, they are expected to play an increasingly pivotal role in the intelligent evolution of ammunition testing, offering more precise, efficient, and cost-effective support for military equipment development.
关键词
数据分析 /
人工智能 /
弹药试验 /
数据驱动：弹药设计 /
毁伤评估
Key words
data analysis /
artificial intelligence /
ammunition testing /
data-driven /
ammunition design /
damage assessment
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