数字化设计类工业软件发展策略研究

高亮, 李培根, 黄培, 杨震, 高杰

中国工程科学 ›› 2023, Vol. 25 ›› Issue (2) : 254-262.

PDF(904 KB)
PDF(904 KB)
中国工程科学 ›› 2023, Vol. 25 ›› Issue (2) : 254-262. DOI: 10.15302/J-SSCAE-2023.07.017
工程前沿
Orginal Article

数字化设计类工业软件发展策略研究

作者信息 +

Development Strategies of Industrial Software for Digital Design

Author information +
History +

摘要

数字化设计类工业软件是智能制造的“第一步”、工业软件的“中流砥柱”,但国内相关产业的发展水平与国际前沿差距较大,亟需着力提升以支撑中国制造迈入国际先进行列。本文论述了数字化设计类工业软件的重要价值,整理了国内外工业软件的发展现状,剖析了我国相关产业发展面临的挑战;提炼了数字化设计类工业软件领域的重点突破方向,涵盖结构计算机辅助设计 / 计算机辅助工程软件与优化软件无缝集成、几何特征驱动设计 / 分析 / 优化的一体化软件、多体 / 多态 / 多物理场耦合的仿真计算与分析、工业软件的云端化和用户可定制化、算法策略支撑的计算机异构并行。研究建议,梳理细分领域、精准制定行业扶持政策,促进软件企业优势互补、制定国内统一标准,给予定向扶持、拓展中小型企业客户市场,完善人才培育机制、聚集高端研发人才,深化基础研究、发挥国内创新市场优势,以此促进我国数字化设计类工业软件产业的稳健发展。

Abstract

Industrial software for digital design is a mainstay of industrial software and the foundation for intelligent manufacturing; however, a large gap exists between relevant domestic industries and the international frontier. Therefore, it is urgent to improve these software to support China's manufacturing sector to enter the international advanced ranks. This study explores the significance of the industrial software for digital design, reviews the development status of industrial software in China and abroad, and analyzes the challenges faced by related industries in China. Key breakthrough directions are summarized, including seamless integration of structural computer-aided design/computer-aided engineering software and optimization software; design, analysis, and optimization integrated software driven by geometric features; simulation calculation and analysis featuring multi-body, multi-state, and multi-physical field coupling; cloudification and customization of industrial software; and heterogeneous parallel computing supported by algorithm strategies. Furthermore, we propose the following suggestions: (1) sorting out subdivided areas and formulating targeted industry support policies, (2) encouraging software enterprises to draw on each other's strengths and formulating unified domestic standards, (3) providing targeted support for small- and medium-sized enterprises to expand their customer market, (4) improving personnel training programs to gather high-end research staff, and (5) strengthening basic research and exploiting the advantages of domestic innovation market.

关键词

工业软件 / 数字化设计 / 智能制造 / 产业瓶颈 / 突破方向

Keywords

industrial software / digital design / intelligent manufacturing / industrial bottleneck / breakthrough direction

引用本文

导出引用
高亮, 李培根, 黄培. 数字化设计类工业软件发展策略研究. 中国工程科学. 2023, 25(2): 254-262 https://doi.org/10.15302/J-SSCAE-2023.07.017

参考文献

[1]
魏津瑜, 李翔‍‍. 基于工业互联网平台的装备制造企业价值共创机理研究 [J]‍. 科学管理研究, 2020, 38(1): 106‒112‍.
Wei J Y, Li X‍. Research on value co-creation mechanism of equipment manufacturing enterprises based on industrial Internet platform [J]‍. Scientific Management Research, 2020, 38(1): 106‒112‍.
[2]
陶永, 蒋昕昊, 刘默, 等‍. 智能制造和工业互联网融合发展初探 [J]‍. 中国工程科学, 2020, 22(4): 24‒33‍.
Tao Y, Jiang X H, Liu M, al e t‍. A preliminary study on the integration of intelligent manufacturing and industrial Internet [J]‍. Strategic Study of CAE, 2020, 22(4): 24‒33‍.
[3]
赵飞宇‍. 云架构CAD软件及其关键技术与应用综述 [J]‍.计算机集成制造系统, 2022, 28(4): 959‒978‍.
Zhao F Y‍. Key technologies and applications for cloud CAD software [J]‍. Computer Integrated Manufacturing Systems, 2022, 28(4): 959‒978‍.
[4]
邵珠峰, 赵云, 王晨, 等‍. 新时期我国工业软件产业发展路径研究 [J]‍. 中国工程科学, 2022, 24(2): 86‒95‍.
Shao Z F, Zhao Y, Wang C, al e t‍. Development path of China's industrial software industry in the new era [J]‍. Strategic Study of CAE, 2022, 24(2): 86‒95‍.
[5]
臧冀原, 王柏村, 孟柳, 等‍. 智能制造的三个基本范式: 从数字化制造、"互联网+"制造到新一代智能制造 [J]‍. 中国工程科学, 2018, 20(4): 13‒18‍.
Zang J Y, Wang B C, Meng L, al e t‍. Brief analysis on three basic paradigms of intelligent manufacturing [J]‍. Strategic Study of CAE, 2018, 20(4): 13‒18‍.
[6]
Shang C, You F Q‍. Data analytics and machine learning for smart process manufacturing: Recent advances and perspectives in the big data era [J]‍. Engineering, 2019, 5(6): 1010‒1016‍.
[7]
高立兵, 吕中原, 索寒生, 等‍. 石油化工流程模拟软件现状与发展趋势 [J]‍. 化工进展, 2021, 40(Z2): 1‒14‍.
Gao L B, Lyu Z Y, Suo H S, al e t‍. Market analysis and development trend of petrochemical process simulation software [J]‍. Chemical Industry and Engineering Progress, 2021, 40(Z2): 1‒14‍.
[8]
丛力群, 张云贵, 刘强, 等‍. 钢铁行业工业软件发展探讨 [J]‍. 中国工程科学, 2022, 24(4): 167‒176‍.
Cong L Q, Zhang Y G, Liu Q, al e t‍. Development strategy of industrial software for iron and steel industry [J]‍. Strategic Study of CAE, 2022, 24(4): 167‒176‍.
[9]
胡雅涵, 寇贞贞, 江源, 等‍. 建材行业工业软件发展研究 [J]‍. 中国工程科学, 2022, 24(4): 177‒187‍.
Hu Y H, Kou Z Z, Jiang Y, al e t‍. Development of industrial software for building materials industry [J]‍. Strategic Study of CAE, 2022, 24(4): 177‒187‍.
[10]
阳春华, 刘一顺, 黄科科, 等‍. 有色金属工业智能模型库构建方法及应用 [J]‍. 中国工程科学, 2022, 24(4): 188‒201‍.
Yang C H, Liu Y S, Huang K K, al e t‍. Intelligent model library for nonferrous metal industry: Construction method and application [J]‍. Strategic Study of CAE, 2022, 24(4): 188‒201‍.
[11]
李郁佳, 孟嫣‍. 加快研发设计软件发展, 增强竞争力 [J]‍.中国科技信息, 2022 (12): 125‒128‍.
Li Y J, Meng Y‍. Accelerate the development of R & D design software to enhance competitiveness [J]‍. China Science and Technology Information, 2022 (12): 125‒128‍.
[12]
钟志华, 臧冀原, 延建林, 等‍. 智能制造推动我国制造业全面创新升级 [J]‍. 中国工程科学, 2020, 22(6): 136‒142‍.
Zhong Z H, Zang J Y, Yan J L, al e t‍. Intelligent manufacturing promotes the comprehensive upgrading and innovative growth of China's manufacturing industry [J]‍. Strategic Study of CAE, 2020, 22(6): 136‒142‍.
[13]
李飞, 乔晗‍. 数字技术驱动的工业品服务商业模式演进研究——以金风科技为例 [J]‍. 管理评论, 2019, 31(8): 295‒304‍.
Li F, Qiao H‍. Research on the business model evolution of digital technology driven industrial service—A Case study of Goldwind [J]‍. Management Review, 2019, 31(8): 295‒304‍.
[14]
胡朝斌, 梁昌平, 易风, 等‍. 多学科交叉复合的新兴工科专业建设与人才培养的探索与实践——以机械电子工程为例 [J]‍. 高教学刊, 2021, 7(21): 23‒26‍.
Hu C B, Liang C P, Yi F, al e t‍. The exploration and practice of multi-disciplinary cross-combined emerging engineering major construction and talent training: Taking mechatronics engineering as an example [J]. Journal of Higher Education, 2021, 7(21): 23‒26‍.
[15]
工业和信息化部运行监测协调局‍. 2018年软件和信息技术服务业统计公报 [J]‍. 智能制造, 2019 (1): 34‒37‍.
Operation Monitoring and Coordination Bureau of Ministry of Industry and Information Technology‍. Software and information technology services industry statistics bulletin in 2018 [J]‍. Intelligent Manufacturing, 2019 (1): 34‒37‍.
[16]
张健, 周乃春, 李明, 等‍. 面向航空航天领域的工业 CFD 软件研发设计 [J]‍. 软件学报, 2022, 33(5): 1529‒1550‍.
Zhang J, Zhou N C, Li M, al e t‍. R & D and design of industrial CFD software for aeronautics and astronautics [J]‍. Journal of Software, 2022, 33(5): 1529‒1550‍.
[17]
Sigmund O, Maute K‍. Topology optimization approaches [J]‍. Structural and Multidisciplinary Optimization, 2013, 48(6): 1031‒1055‍.
[18]
Wu J, Sigmund O, P‍ Groen J. Topology optimization of multi-scale structures: A review [J]‍. Structural and Multidisciplinary Optimization, 2021, 63(3): 1455‒1480‍.
[19]
Wang C, Zhao Z, Zhou M, al e t‍. A comprehensive review of educational articles on structural and multidisciplinary optimization [J]‍. Structural and Multidisciplinary Optimization, 2021, 64(5): 2827‒2880‍.
[20]
Nguyen V P, Anitescu C, Bordas S P A, al e t‍. Isogeometric analysis: An overview and computer implementation aspects [J]‍. Mathematics and Computers in Simulation, 2015, 117: 89‒116‍.
[21]
Gao J, Wang L, Luo Z, al e t‍. IgaTop: An implementation of topology optimization for structures using IGA in MATLAB [J]‍. Structural and Multidisciplinary Optimization, 2021, 64(3): 1669‒1700‍.
[22]
Gao J, Gao L, Luo Z, al e t‍. Isogeometric topology optimization for continuum structures using density distribution function [J]‍. International Journal for Numerical Methods in Engineering, 2019, 119(10): 991‒1017‍.
[23]
Zhou Y, Gao L, Li H‍. Graded infill design within free-form surfaces by conformal mapping [J]‍. International Journal of Mechanical Sciences, 2022, 224: 107307‍.
[24]
Gao J, Luo Z, Li H, al e t‍. Topology optimization for multiscale design of porous composites with multi-domain microstructures [J]‍. Computer Methods in Applied Mechanics and Engineering, 2019, 344: 451‒476‍.
[25]
Zhou Y, Zhang W H, Zhu J H, al e t‍. Feature-driven topology optimization method with signed distance function [J]‍. Computer Methods in Applied Mechanics and Engineering, 2016, 310: 1‒32‍.
基金
中国工程科技发展战略湖北研究院武汉分院项目“发展优化驱动的智能设计工业软件——助力武汉工业软件产业升级”(HB2021B12)
PDF(904 KB)

Accesses

Citation

Detail

段落导航
相关文章

/