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Industrial software and intelligent manufacturing future
Industrial software and intelligent manufacturing future
Industrial software is the "soul" of modern industry, the underlying logic for the digital and intelligent upgrading of manufacturing, and the invisible "national treasure" that supports the development and innovation of modern industrial systems. With the continuous development of industrial technology, the demand for continuous iteration and updating of industrial software has become increasingly urgent. However, the industrial software field in China has long been plagued by practical difficulties such as insufficient accumulation of industrial knowledge, relatively backward technology, lack of R&D talents, and poor industrial ecology. To this end, our magazine has planned and organized a column on "Industrial Software and the Future of Intelligent Manufacturing", with renowned editors Ning Zhenbo and Professor Ma Dianfu serving as executive editors. The presented research results include theoretical and methodological discussions, technical and industrial exchanges, as well as industry applications and professional construction explorations, which are of great inspiration and reference significance.
主题关键词:   Industrial software and intelligent manufacturing future

工业软件是现代工业的“灵魂”,是制造业数字化、智能化升级的底层逻辑,是支撑现代产业体系发展和创新的隐形“国之重器”。随着工业技术的不断发展,工业软件不断迭代与更新的需求愈发迫切。而我国工业软件领域长期存在着工业知识积累不足、技术较为落后、研发人才缺失、产业生态欠佳的现实困境。为此,本刊策划组织了“工业软件与智造未来”专栏,知名编委宁振波研究员、马殿富教授担任执行主编。呈现的研究成果既有理论、方法探讨,也有技术、产业交流,又有行业应用和专业建设探索,颇具启示和借鉴意义。

北京计算机技术及应用研究所付修锋等撰写的“国产工业软件资源共享技术创新与评估方法研究”基于工业软件资源共享技术,提出数据驱动的工业软件应用成效评估模型和评估方法,为推动国产工业软件成熟化和产业化奠定了基础。

国防科技大学戴未希等撰写的“面向国产工业级CFD 软件的并行性能测试分析”依托典型HPC平台,从计算、通信、访存等角度对FlowStar性能特征进行深入测试和分析,为后续FlowStar软件的并行计算和性能优化提供了参考。

芯瑞微(上海)电子科技有限公司郭茹等撰写的“基于多物理场耦合计算的仿真软件开发”实现了一套面向先进制造研发场景的多物理场耦合仿真软件,该软件可提升航空航天、新能源汽车、半导体、计算机等核心技术产业的整体设计水平和制造效率。

本专栏由于篇幅有限,不能涵盖该领域的所有方面,希望通过理论和实践层面的探讨,为工业软件赋能智能制造提供借鉴与支撑。

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