Application Potential of Multidimensional Data Analysis and Artificial Intelligence in Ammunition Testing

YANG Weitao; LIU Kangtai

doi:10.7643/issn.1672-9242.2025.08.011

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Equipment Environmental Engineering ›› 2025, Vol. 22 ›› Issue (8) : 81-88. DOI: 10.7643/issn.1672-9242.2025.08.011

Weapons Equipment

Application Potential of Multidimensional Data Analysis and Artificial Intelligence in Ammunition Testing

YANG Weitao, LIU Kangtai

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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.

Key words

data analysis / artificial intelligence / ammunition testing / data-driven / ammunition design / damage assessment

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YANG Weitao, LIU Kangtai. Application Potential of Multidimensional Data Analysis and Artificial Intelligence in Ammunition Testing[J]. Equipment Environmental Engineering. 2025, 22(8): 81-88 https://doi.org/10.7643/issn.1672-9242.2025.08.011

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