定制家具数字孪生车间构建模式及关键技术

熊先青; 符思捷; 岳心怡; 张美; 王国坤

doi:10.12326/j.2096-9694.2024066

讨论与建议 | 浏览量 : 0 下载量: CSCD: 0 CNKI被引量: 0 Crossref: 0 Wos: 0 Scopus: 0 更多指标

PDF
导出
分享
收藏
专辑

定制家具数字孪生车间构建模式及关键技术
Construction and Technology of Digital Twin Model in Customized-Furniture Intelligent Manufacturing Workshop
南京林业大学家居与工业设计学院，江苏南京 210037
2024年38卷第6期页码：69-78
纸质出版日期： 2024-11-30 ，
DOI： 10.12326/j.2096-9694.2024066
稿件说明：

移动端阅览

熊先青, 符思捷, 岳心怡, 等. 定制家具数字孪生车间构建模式及关键技术[J]. 木材科学与技术, 2024,38(6):69-78.

XIONG XIANQING, FU SIJIE, YUE XINYI, et al. Construction and Technology of Digital Twin Model in Customized-Furniture Intelligent Manufacturing Workshop. [J]. Chinese journal of wood science and technology, 2024, 38(6): 69-78.
熊先青, 符思捷, 岳心怡, 等. 定制家具数字孪生车间构建模式及关键技术[J]. 木材科学与技术, 2024,38(6):69-78. DOI： 10.12326/j.2096-9694.2024066.

XIONG XIANQING, FU SIJIE, YUE XINYI, et al. Construction and Technology of Digital Twin Model in Customized-Furniture Intelligent Manufacturing Workshop. [J]. Chinese journal of wood science and technology, 2024, 38(6): 69-78. DOI： 10.12326/j.2096-9694.2024066.

摘要

结合家具智能制造与数字化车间现状，提高定制家具车间运行效率的关键是提升车间信息物理融合的程度，构建定制家具数字孪生车间。提出定制家具数字孪生车间的架构模式、运行机制和关键技术，并阐述定制家具数字孪生车间应用方向，从家具智能制造过程参数选择与决策、定制家具柔性制造过程中的车间动态调度、家具装备故障预测与健康管理定制家具车间物流配送等4个方面进行分析，促进定制家具数字化车间快速建设，为定制家具数字孪生车间建设和应用提供理论依据。

Abstract

Combining intelligent furniture manufacturing with the current digital workshop situation

the key to improving the operational efficiency of customized furniture workshops is to enhance the level of cyber-physical integration and build a digital twin model. To this end

this study proposes an architectural model

operating mechanism

and key technologies for a digital twin workshop in intelligent furniture manufacturing. It discusses the application of a digital twin workshop in customized furniture manufacturing. It analyzes the process from four aspects: the selection of process parameters and decision-making in intelligent furniture manufacturing

dynamic workshop scheduling for the flexible manufacturing of customized furniture

failure prediction and health management of equipment

and logistics and distribution. It promotes the rapid establishment of a digital workshop for customized furniture manufacturing. This study provides a theoretical foundation for the construction and application of a digital twin workshop in customized furniture manufacturing.

关键词

定制家具数字孪生车间运行机制关键技术应用

Keywords

customized furnituredigital twin workshopoperation mechanismkey technologyapplication

references

吴智慧. 工业4.0时代中国家居产业的新思维与新模式[J]. 木材工业, 2017, 31(2): 5-9.

WU Z H. New thinking and new models of the Chinese home furnishings industry in the industry 4.0 era[J]. China Wood Industry, 2017, 31(2): 5-9.

陶飞, 刘蔚然, 刘检华, 等. 数字孪生及其应用探索[J]. 计算机集成制造系统, 2018, 24(1): 1-18.

TAO F, LIU W R, LIU J H, et al. Digital twin and its potential application exploration[J]. Computer Integrated Manufacturing Systems, 2018, 24(1): 1-18.

熊先青, 杨路洁, 许修桐, 等. 中国实木家具智能制造技术研究与应用现状[J]. 林业工程学报, 2024, 9(5): 27-35.

XIONG X Q, YANG L J, XU X T, et al. Status of research and application of intelligent manufacturing technology for solid wood furniture in China[J]. Journal of Forestry Engineering, 2024, 9(5): 27-35.

杨浚安, 吴智慧. 传统家具企业数字化转型路径及系统架构[J]. 木材科学与技术, 2022, 36(6): 32-40.

YANG J A, WU Z H. Digital transformation path and system architecture for traditional home furniture companies[J]. Chinese Journal of Wood Science and Technology, 2022, 36(6): 32-40.

柳林燕, 杜宏祥, 汪惠芬, 等. 车间生产过程数字孪生系统构建及应用[J]. 计算机集成制造系统, 2019, 25(6): 1536-1545.

LIU L Y, DU H X, WANG H F, et al. Construction and application of digital twin system for production process in workshop[J]. Computer Integrated Manufacturing Systems, 2019, 25(6): 1536-1545.

谢清宇, 郝景新. 数字孪生在家具生产上的应用[J]. 智能制造, 2024(3): 107-111.

XIE Q Y, HAO J X. Application of digital twin in furniture production[J]. Intelligent Manufacturing, 2024(3): 107-111.

欧阳周洲, 吴义强, 陶涛, 等. 面向 “中国制造2025” 的家具数字孪生车间构建与关键技术展望[J]. 家具与室内装饰, 2022, 29(8): 1-7.

OUYANG Z Z, WU Y Q, TAO T, et al. Construction of furniture digital twin shop-floor (FDTS) and prospect of key technologies for “made in China 2025”[J]. Furniture & Interior Design, 2022, 29(8): 1-7.

李治达, 吴新凤. 家具制造产业数字孪生研究[J]. 居舍, 2023, (35): 15-18.

LI Z D, WU X F. Research on digital twin in furniture manufacturing industry[J]. Dwelling, 2023, (35): 15-18.

谢清宇. 板式家具数控开料机的数字孪生模型构建与虚拟调试技术的研究[D]. 长沙: 中南林业科技大学, 2024.

薛继肖, 徐伟, 王军祥. 基于价值流图的板式定制家具小板件生产线负荷平衡[J]. 林业工程学报, 2023, 8(6): 176-185.

XUE J X, XU W, WANG J X. Load balancing of small-panel production line for panelized customized furniture based on value stream diagram[J]. Journal of Forestry Engineering, 2023, 8(6):176-185.

王文娜. 面向数字孪生的大跨距龙门机器人路径规划方法研究[D]. 秦皇岛: 燕山大学, 2022.

周济. 制造业数字化智能化[J]. 中国机械工程, 2012, 23(20): 2395-2400.

ZHOU J. Digitization and intellectualization for manufacturing industries[J]. China Mechanical Engineering, 2012, 23(20): 2395-2400.

杨浚安, 吴智慧, 夏同强, 等. 实木家具数字化机加工车间的构建思路与布局方法[J]. 木材科学与技术, 2023, 37(5): 12-19.

YANG J A, WU Z H, XIA T Q, et al. Construction thought and layout method of digital machining workshop for solid wood furniture[J]. Chinese Journal of Wood Science and Technology, 2023, 37(5): 12-19.

侯晓鹏, 吴智慧, 刘海波, 等. 基于OPC统一架构的木制品加工设备信息互联互通方法[J]. 木材科学与技术, 2022, 36(6): 95-102.

HOU X P, WU Z H, LIU H B, et al. Information interconnection and intercommunication method for woodworking equipment based on open platform communications unified architecture(OPC UA)[J]. Chinese Journal of Wood Science and Technology, 2022, 36(6): 95-102.

张兆坤, 邵珠峰, 王立平, 等. 数字化车间信息模型及其建模与标准化[J]. 清华大学学报(自然科学版), 2017, 57(2): 128-133, 140.

ZHANG Z K, SHAO Z F, WANG L P, et al. Digital workshop information model and its standardization[J]. Journal of Tsinghua University (Science and Technology), 2017, 57(2): 128-133, 140.

SÖDERBERG R, WÄRMEFJORD K, CARLSON J S, et al. Toward a digital twin for real-time geometry assurance in individualized production[J]. CIRP Annals, 2017, 66(1): 137-140.

王国坤, 熊先青, 杨路洁, 等. 面向板式家具数字化制造的拆单软件现状与发展分析[J]. 林业工程学报, 2024, 9(3): 175-183.

WANG G K, XIONG X Q, YANG L J, et al. Analysis of current situation and development of splitting software for digital manufacturing of panel furniture[J]. Journal of Forestry Engineering, 2024, 9(3): 175-183.

熊先青, 张美, 岳心怡, 等. 大数据技术在家居智能制造中的应用研究进展[J]. 世界林业研究, 2023, 36(2): 74-81.

XIONG X Q, ZHANG M, YUE X Y, et al. Research progress in the application of big data technology to smart home manufacturing[J]. World Forestry Research, 2023, 36(2): 74-81.

巫兴寰, 朱剑刚. 板式定制家具智能车间数字孪生模型探讨[J]. 木材科学与技术, 2023, 37(1): 25-32.

WU X H, ZHU J G. Discussion on the digital twin model of intelligent workshop of custom panel furniture[J]. Chinese Journal of Wood Science and Technology, 2023, 37(1): 25-32.

JONES D, SNIDER C, NASSEHI A, et al. Characterising the Digital Twin: a systematic literature review[J]. CIRP Journal of Manufacturing Science and Technology, 2020, 29: 36-52.

QI Q L, TAO F, HU T L, et al. Enabling technologies and tools for digital twin[J]. Journal of Manufacturing Systems, 2021, 58: 3-21.

熊先青, 曹萌, 马清如, 等. 实木家具异形零部件成组分类与加工方法[J]. 林业工程学报, 2023, 8(6): 186-192.

XIONG X Q, CAO M, MA Q R, et al. Research on group classification and processing method of special-shaped parts of solid wood furniture[J]. Journal of Forestry Engineering, 2023, 8(6): 186-192.

韩静, 吴智慧. 基于MES的板式定制家具企业生产计划调度[J]. 木材工业, 2019, 33(3): 32-35.

HAN J, WU Z H. Production planning and scheduling based on MES for customized panel furniture companies[J]. Chinese Journal of Wood Science and Technology, 2019, 33(3): 32-35.

AGRAWAL A, FISCHER M, SINGH V. Digital twin: from concept to practice[J]. Journal of Management in Engineering, 2022, 38(3): 06022001.

方圆, 刘江, 吕瑞强, 等. 基于数字孪生的设备加工过程监测技术研究[J]. 航空制造技术, 2021, 64(4): 91-96.

FANG Y, LIU J, LYU R Q, et al. Research on monitoring technology of equipment processing based on digital twin[J]. Aeronautical Manufacturing Technology, 2021, 64(4): 91-96.

芦国桢, 熊先青, 鲁丹婷, 等. 基于统计过程控制的家具封边质量管控方法[J]. 林业工程学报, 2023, 8(1): 195-201.

LU G Z, XIONG X Q, LU D T, et al. Research on quality control method of furniture sealing based on SPC[J]. Journal of Forestry Engineering, 2023, 8(1): 195-201.

李新宇, 黄江平, 李嘉航, 等. 智能车间动态调度的研究与发展趋势分析[J]. 中国科学(技术科学), 2023, 53(7): 1016-1030.

LI X Y, HUANG J P, LI J H, et al. Research and development trend of intelligent shop dynamic scheduling[J]. Scientia Sinica (Technologica), 2023, 53(7): 1016-1030.

GUO J P, ZHAO N, SUN L, et al. Modular based flexible digital twin for factory design[J]. Journal of Ambient Intelligence and Humanized Computing, 2019, 10(3): 1189-1200.

WANG C C, CHIEN C H, TRAPPEY A J C. On the application of ARIMA and LSTM to predict order demand based on short lead time and on-time delivery requirements[J]. Processes, 2021, 9(7): 1157.

CUI P H, WANG J Q, LI Y. Data-driven modelling, analysis and improvement of multistage production systems with predictive maintenance and product quality[J]. International Journal of Production Research, 2022, 60(22): 6848-6865.

文章被引用时，请邮件提醒。

提交