智能制造质量系统柔性自适应集成基础理论与预测控制技术研究

With the social progress and technological development, improving product quality has become an important national strategy. China's manufacturing industry is facing profound changes in all aspects, including network, service and intelligence. The traditional quality assurance capability is facing the harsh situation under the new manufacturing model. Require manufacturing quality system to adapt quickly to the manufacturing environment and manufacturing process changes, need to rebuild the intelligence system quality control system integration. In view of the existence of isolated technologies in the quality system, the poor interconnection of knowledge framework, the difficult integration of heterogeneous information and the decentralized control of quality, the quality control entity unit in this project is taken as the research object. Adaptive integration mechanism, quality control knowledge coordination and heterogeneous quality information and physical integration methods, hybrid quality control unit state self-aware predictive control and other key scientific issues, with high-end CNC equipment and additive manufacturing quality control of physical unit integration system as a typical case of theory verification and application, a set of smart adaptive integrated basic theory and predictive control method for intelligent manufacturing quality system is proposed for intelligent manufacturing of mixed additive and reduction manufacturing, which provides theoretical and technical support for the product quality under the new model of intelligent manufacturing, which ultimately guarantees the overall quality of China's electromechanical products to enhance the overall level.

随着社会进步和科技发展，提升产品质量已成为国家重要战略。我国制造业正在面临着网络化、服务化、智能化等全方位的深刻变革，传统质量保证能力面临着新型制造模式下严峻形势的挑战。要求制造质量系统快速适应制造环境和制造过程的变化，需要重新构建智造系统质量集成控制技术体系。针对质量系统存在孤岛性技术、知识框架互联性差、质量异构信息融合难、增减材质量控制分散等诸多问题，本项目以智造质量控制实体单元为研究对象，系统研究智造质量系统柔性自适应集成机理、质量控制知识协同与异构质量信息物理集成方法、混成质量控制单元状态自感知预测控制等关键科学问题，以高档数控装备与增材制造质量控制物理单元集成系统作为典型案例进行理论验证和应用，面向增减材混成智能制造提出一套智造质量系统柔性自适应集成基础理论与预测控制方法，为从本质上保障智能制造新模式下产品质量提供理论和技术支撑，最终达到全面提升我国机电产品整体质量水平的目的。

随着社会进步和科技发展，提升产品质量已成为国家重要战略。要求制造质量系统快速适应制造环境和制造过程的变化，需要重新构建智造系统质量集成控制技术体系。针对质量系统存在孤岛性技术、知识框架互联性差、质量异构信息融合难、增减材质量控制分散等诸多问题，本项目以智造质量控制实体单元为研究对象，系统研究智造质量系统柔性自适应集成机理、质量控制知识协同与异构质量信息物理集成方法、混成质量控制单元状态感知预测控制等关键科学问题，以高档数控装备与增材制造质量控制物理单元集成系统作为典型案例进行理论验证和应用。主要完成研究内容包括：智能制造质量系统柔性自适应集成机理；智能制造质量系统知识互联架构与异构质量信息物理系统集成建模；智能制造过程质量控制物理单元状态自感知预测控制技术；面向智能制造的智能质量控制关键技术；典型数控装备的柔性自适应集成智能制造质量控制系统应用。研究成果主要包括：构建了智能制造质量系统柔性自适应集成及预测控制的理论与方法，建立了智能装备物理系统与质量大信息融合集成协同方法，搭建了面向智能制造的全闭环全寿命周期制造过程质量智能控制体系，研发了智能制造关键质量特性柔性感知与动态智能监控平台，最终形成一套智能制造质量系统全生命周期的自适应智能协同监控诊断预测控制集成基础理论与应用系统。为从本质上保障智能制造新模式下产品质量提供理论和技术支撑，最终达到全面提升我国机电产品整体质量水平的目的。