装备数字试验闭环管理模式与关键技术研究

Preliminary Study of Equipment Digital Test Evaluation

摘要:

对传统装备试验存在的生命周期阶段割裂、数据孤岛严重、虚实试验脱节、开环运行难以迭代优化、极限工况复现困难与试验成本效率失衡等问题进行了研究，对物理试验覆盖不足、全流程决策滞后、试验可信度难以保障、知识无法沉淀复用等技术瓶颈进行了分析。采用数字线程贯通、数字孪生映射、多域统一建模、模型校准、数据融合评估与反馈控制理论等技术方法，构建装备全生命周期“需求—试验— 评估—优化—再验证”闭环管理架构与运行模型，实现装备论证、研制、生产、使用、退役全周期数字试验一体化管控、数据双向流转、虚实融合验证与智能闭环迭代。相关技术成果破解了传统装备试验的核心技术瓶颈，为装备试验鉴定数字化转型与实战化效能提升提供了理论体系与技术支撑。

Abstract:

This paper investigates the persistent problems in traditional equipment testing, including lifecycle stage fragmentation, severe data silos, disconnection between virtual and physical testing, difficulty in iterative optimization due to open-loop operation, challenges in reproducing extreme operating conditions, and imbalance between test cost and efficiency. Technical bottlenecks such as insufficient coverage of physical testing, delayed decision-making throughout the entire process, unreliable test credibility, and inability to retain and reuse domain knowledge are analyzed. By employing technical approaches including digital thread integration, digital twin mapping, multi-domain unified modeling, model calibration, data fusion evaluation, and feedback control theory, a closed-loop management architecture and operational model covering the entire equipment lifecycle—"requirements —testing—evaluation—optimization—revalidation"—is constructed. This framework enables integrated management of digital testing across the whole lifecycle stages of equipment demonstration, development, production, operation, and decommissioning, facilitating bidirectional data flow, virtual-physical fusion validation, and intelligent closed-loop iteration. The relevant technical achievements address the core bottlenecks of traditional equipment testing, providing both a theoretical framework and technical support for the digital transformation of equipment test and evaluation as well as the enhancement of combat effectiveness.