“互联网+”定制装备设计方案碳足迹关联演化技术研究

Aiming at the problems of the carbon footprint fuzziness and the low carbon weak correlation in the design stage of customized equipment, the key technologies of carbon footprint correlation evolution of the "Internet +" customized equipment design scheme are going to be studied. The carbon footprint variable dimension correlation model of customized equipment design scheme is established. The multi-granularity fusion evolution technology of customized equipment function and low-carbon performance is proposed. The functional modules are divided into multi-granularity layers driven by low-carbon design requirements, so that the balanced fusion of customized equipment function and low-carbon performance is realized. The technology of carbon footprint retrospective growth evolution of customized equipment design scheme is proposed. The carbon footprint retrospect of customized equipment low carbon design scheme is realized by mining multi-domain low carbon design rules. The technology of low-carbon migration assessment evolution of customized equipment design scheme is proposed. Through virtual access of low-carbon design resources, the low-carbon fidelity assessment of customized equipment design scheme is realized. At the end, the "Internet +" customized equipment design carbon footprint correlation evolution prototype system will be developed based on the technologies mentioned above, and the prototype system will be applied to the low-carbon scheme design of precision injection molding equipment to verify the feasibility of those technologies.

针对定制装备方案设计阶段碳足迹模糊、低碳关联性弱的问题，开展“互联网+”定制装备设计方案碳足迹关联演化关键技术研究。建立定制装备设计方案碳足迹变维关联模型。提出定制装备功能与低碳性能多粒度融合演化技术，在低碳设计需求驱动下对功能模块进行多粒度分层划分，实现定制装备功能与低碳性能的均衡融合。提出定制装备设计方案碳足迹回溯生长演化技术，通过挖掘多域低碳设计规则，实现定制装备低碳设计方案碳足迹回溯。提出定制装备设计方案低碳性迁移评估演化技术，通过低碳设计资源的虚拟接入，实现定制装备设计方案低碳性保真评估。开发“互联网+”定制装备方案设计碳足迹关联演化原型系统，并在精密注塑装备的低碳方案设计中进行应用验证。

在定制装备设计阶段考虑低碳性是实现定制装备绿色设计和绿色制造的有效途径。现有定制装备低碳设计方法存在定制装备设计方案与碳足迹难以有效关联、定制装备功能与低碳性能难以平衡、定制装备低碳设计方案碳足迹难以回溯等问题。为此，本项目开展了“互联网+”定制装备设计方案碳足迹关联演化技术研究，并取得了一系列重要进展：（1）构建了定制装备设计方案多域区间碳足迹变维关联模型。通过对定制装备多域区间碳足迹进行定量表达，将定制装备设计参数进行层次分类，根据不同类型参数的特点进行参数关联与区间化处理，构建基于碳排放计算关联图的定制装备设计方案碳足迹变维关联模型。（2）提出并实现了定制装备功能与低碳性能多粒度融合演化技术。利用区间数的可信度值判断种群的占优关系，结合ϵ-SPEA2算法对智能融合低碳设计方案进行求解，在方案设计阶段实现了定制装备功能性与低碳性的智能融合。（3）提出并实现了定制装备设计方案碳足迹回溯生长演化技术。挖掘碳足迹关联的多域低碳设计规则，将定制装备结构的主要性能指标以及定制装备结构总体碳排放量作为强化学习的回报函数进行模型训练，以获得满足精度要求的碳足迹回溯生长方案。（4）提出并实现了定制装备设计方案低碳性迁移评估演化技术。研究“互联网+”云模式下定制装备设计方案低碳性评估方法，获取用户层、设计层、专家层的定制装备设计方案低碳性评估结果，对具有不同低碳特征分布的低碳设计方案进行演化评估预测。（5）研发了具有自主知识产权的“互联网+”定制装备设计方案碳足迹关联演化系统，并在面向低碳的精密注塑装备、定制导管弯曲成形装备、高速电梯等机电装备方案设计中进行应用验证。本项目在执行期内发表国际高水平SCI期刊论文共15篇，国际会议论文2篇，授权美国发明专利2项、中国发明专利2项，获软著3项。为进一步实现定制装备低碳设计提供了技术支撑。