摘要
工业大数据技术可以显著提升机械装备设计的精准性、创新性和高效性,对推动机械工业的智能化发展发挥着重要作用.文章重点研究工业大数据驱动的机械装备智能化设计与优化,深入分析工业大数据在需求分析、创新设计、性能优化等方面的应用,提出数据驱动的智能需求分析模型、知识挖掘辅助设计方法、生产过程参数优化策略和故障预警技术,并阐述面向装备全生命周期的智能化设计平台架构.
Abstract
Industrial big data technology can significantly improve the precision,innovation and efficiency of mechanical equipment design,and play an important role in promoting the intelligent development of the machinery industry.This paper focuses on the intelligent design and optimization of machinery and equipment driven by industrial big data,deeply analyze the application of industrial big data in demand analysis,innovation design,performance optimization,etc.,and propose data-driven intelligent demand analysis model,knowledge mining assisted design method,production process parameter optimization strategy and fault warning technology.The intelligent design platform architecture for the whole life cycle of equipment is also described.
NETL
NSTL
万方数据