基于数字孪生技术的工程机械故障预测与健康管理体系架构研究

Research on System Architecture of Prognostics and Health Management for Engineering Equipment Based on Digital Twin Technology

摘要: 随着军事装备技术飞速发展，装备的复杂性和高科技含量不断增加，对装备的可靠性和维修保障能力提出了更高的要求。传统的装备故障检测及维修方法已不能满足不断增长的工程机械维修保障需求，如何提升工程机械的使用性、维修效率，降低维修成本，成为当下实际亟待解决的问题。本文提出了将数字孪生(Digital Twin)技术与故障预测与健康管理(PHM)技术相融合，应用于工程机械维修保障。文章分析了基于数字孪生的装备健康管理研究现状和工程机械故障预测现状，而后围绕“数字孪生体系构建–PHM体系融合–高效运行与健康运维设计”三个层面具体展开，提出数字孪生的工程机械PHM体系架构，为工程机械故障诊断与维保策略优化提供新路径，推动装备健康管理系统向智能化、数字化方向演进，有效提升工程机械保障能力。

Abstract: With the rapid development of military equipment technology, the complexity and high-tech content of equipment have been increasing, which has raised higher requirements for the reliability and maintenance sup port capabilities of the equipment. The traditional methods for detecting and repairing equipment faults can no longer meet the constantly growing maintenance and support needs of construction machinery. How to improve the usability, maintenance efficiency, and reduce maintenance costs of construction machinery has become an urgent problem to be solved in practice. This paper proposes to integrate the Digital Twin technology with the fault Prediction and Health Management (PHM) technology and apply it to the maintenance and support of construction machinery. The article analyzes the current research status of equipment health management based on Digital Twin and the current status of fault prediction for construction machinery, and then specifically elaborates on the three levels of “Digital Twin system construction—PHM system integration—efficient operation and healthy operation design”. It proposes the Digital Twin PHM system architecture for construction machinery, providing a new path for the optimization of fault diagnosis and maintenance strategies of construction machinery, promoting the evolution of the equipment health management system towards intelligence and digitalization, and effectively enhancing the maintenance capabilities of construction machinery.