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To ensure the effective verification and evaluation of aerospace equipment across multiple stages—including ground inspection, low-altitude tests, and in-orbit experiments—this paper proposes a digital-physical fusion testing method for system-level complex aerospace products, enabled by digital twin technology. Addressing the requirements for integrated test design, analysis, and validation, this paper proposes a comprehensive framework that incorporates pre-production research and testing, in-production debugging, manufacturing-preparation testing, post-production verification, and performance optimization. This framework deeply integrates key enabling technologies such as digital twins, artificial intelligence, and digital-physical fusion to support capabilities including early-stage design and planning, R&D process assistance, full-system distribution optimization, functional evaluation and validation, and intelligent iterative optimization for aerospace equipment. The goal is to provide full-lifecycle, multi-dimensional, and high-precision testing and verification support for aerospace equipment, thereby significantly improving research and development efficiency, reducing testing costs, and enhancing system reliability and mission success rates.
Yang et al. (Thu,) studied this question.