现代制造业正朝着大型化、复杂化、高精度、高可靠性的方向发展，对装备全周期运行能效的优化技术提出了更高的要求。本项目从考察装备及组件运行能效动态规律入手，系统研究以分级能效指标预测装备运行总能效状态的理论体系，从稳定运行状态中要效益，最终实现装备运行周期能效最大化的目标。首先，以流经各组件的能量属性为线索建立分级能效指标集，基于多模型融合技术建立综合能效分析平台，面向装备运行过程中结构-工况-能效指标间的耦合规律进行基础研究。其次，装备高效运行状态预测理论研究。借助大数据使能预测理论框架，对监测数据应用机器学习算法，建立能效指标对总能效(EE∑)的稳定时间及退化趋势的预测，结合退化因素分析，实现退化运行状态的快速识别及溯源。最后，研究在线高效运行状态的自适应调控机制。对退化组件采取针对性工艺、差补方案，自适应延长装备高效运行状态寿命，为实现全周期的可持续制造提供理论和技术保障。

Modern manufacturing industry is developing towards the direction of large-scale, complicated, high precision and high reliability, which puts forward higher requirements for the optimization technology of equipment full-cycle operating energy efficiency. This project starts with the investigation of dynamic laws of energy efficiency of equipment and component running operation, and systematically studies the theoretical system on the prognosis of the total energy efficiency during the whole manufacturing lifecycle based on hierarchical energy efficiency index, and Aiming to ultimately realize the maximizing energy efficiency benefits by stabling the manufacturing process running state. Firstly, the hierarchical energy efficiency index set is established based on the energy attributes flowing through each component, and the comprehensive energy efficiency analysis platform is established based on the multi-model fusion technology, so as to conduct basic research on the coupling rule of structure-condition-energy efficiency index in the process of equipment operation. Secondly, the theoretical research of equipment efficient operation state prediction. With the help of the theoretical framework of big data enabled prognosis theory, machine learning algorithm is applied to the monitoring energy data to establish the prognosis of the stable time and degradation trend of the total energy efficiency (EE) from the hierarchical energy efficiency index dynamic functions. Combined with the analysis of degradation factors, the fast identification and traceability of degraded operation running state are realized. Finally, the adaptive control mechanism of high - efficiency online operation is studied. Targeted technology and differential compensation scheme are adopted for degenerated components, so as to extend the service life of equipment in efficient operation state adaptively, and to provide theoretical and technical support for the realization of full cycle sustainable manufacturing.