With the revolutionary breakthroughs of big data and artificial intelligence technologies, the military domain is accelerating its transformation toward digitalization and intelligence, placing all-dimensional, full-lifecycle, and all-element real-combat effectiveness verification and analysis requirements on weapon equipment verification and analysis: it must both evaluate equipment adaptability in complex environments and verify the effectiveness of multi-system coordinated operations, as well as predict equipment reliability amid dynamic battlefield changes. This urgently requires building a new intelligent-decision-driven equipment test and analysis system that integrates multi-source heterogeneous data, applies machine learning and deep learning algorithms to establish equipment test analysis models, and constructs a data-driven verification paradigm.