鲍劲松, 教授、博士生导师
Bao Jinsong, Ph.D, Professor
6165cc金沙总站检测中心智能制造研究所 | 所长
6165cc金沙总站检测中心4号学院楼3033室
Room 3033, College of Mechanical Engineering (Building 4#), Donghua University
Email: bao@dhu.edu.cn
招生 | Admission
学术博士：(080200) 机械工程
工程博士：(085500) 机械
硕士：机械工程 计算机科学
介绍 | Biography
1999-2002：上海交通大学机械与动力工程学院，工学博士学位
2002-2015：上海交通大学 计算机集成制造研究所，讲师、副教授
2010-2011：美国USC大学访问学者 | 2023-2024: 新西兰奥克兰大学高级访问教授
2015至今：6165cc金沙总站检测中心 智能制造研究所，所长，教授，博士生导师
研究方向 | Research Areas
智能制造系统：Digital Twin/CPS
工业软件：Digital Thread、DTOps、Cloud Native
工业智能：Industrial LLMs、Industrial Semantic Graph、Multi-Modal、Cognitive/Agentic Computing
人机协作与具身：Co-Robot、Embodied Intelligence、Digital Reality
科研项目 | Funding
[工业软件方向 | Industrial Software]
1. 茂盟工程技术股份有限公司：数据驱动的智慧能源系统研发，2024-2026
2. 上海宝信软件股份有限公司：钢铁CPS数字孪生技术研究，2023-2024
3. 上海宝信软件股份有限公司：面向特定行业应用的CPS系统测试验证床建设，2024-2024
4. 沪东中华造船（集团）有限公司：面向船舶垂直领域的大语言模型框架构建，2024-2025
5. 工业互联网创新发展工程——解决方案应用推广公共服务平台，2020-2022
6. 上海市经信委项目(2021-GYHLW-01013)：“飞梭智纺”云上智造·产业链协同服务平台, 2021-2023
7. 中冶宝钢技术服务有限公司：设备智能运维AR系统研发，2021-2021
8. 中冶宝钢技术服务有限公司：数字孪生基础平台开发，2021-2021
9. 福建百宏实业有限公司：“福建百宏MES定制与可视化”，2017-2018
10. 茂盟工程技术股份有限公司：“分布式综合智慧能源系统模型与AI算法研究”，2019-2020
11. 国家发改委/工信部智能重大专项：海上钻井平台装备制造焊接智能化车间-子课题“海工平台设计工艺生产信息集成系统”，2014-2016
12.上海市经信委两化融合专项：船舶三维设计平台(SPD系统)的深化开发与应用(沪东中华牵头)，2012-2014
13.航天材料及工艺研究所：舱段加工装配工序仿真优化系统研制，2015-2016
14.航天材料及工艺研究所：舱段实测模型虚拟装配及偏差分析系统研制，2016-2017
15.航天材料及工艺研究所：复合材料舱段三维装配工艺仿真及现场可视化系统，2015-2016
16.中国船舶工业集团公司第七〇八研究所：船体NURBS曲面显示及交互技术，2015-2015
[智能制造系统方向 | Intelligent Manufacture System]
17. 国家自然科学基金面上项目：元数字孪生，2024-2027
18. 国家自然科学基金面上项目：半实物虚拟装配的建模理论、共融方法及支撑技术，2015-2018
19. 国家自然科学基金面上项目：大尺度复杂结构产品装配的胖模型演进与驱动研究，2010-2014
20. 科技部重点研发计划-网络协同制造和智能工厂专项：面向纺织服装产业集聚区域的网络协同制造集成技术研究与示范，2019-2022
21. 工信部智能制造专项：低功耗环锭纺纱智能工厂建设项目，2018-2020
22. 工信部智能制造专项：航天关键结构件制造工业物联应用标准研究与试验验证，2017-2019
23. 工信部智能制造专项：高端医疗影像设备智能工厂建设项目，2017-2019
24. 工信部智能制造专项：功能性卫生用品智能生产数字化车间，2017-2019
25. 工信部智能制造专项：高端针织面料生产智能管控通用信息模型标准与试验验证，2017-2019
26. 工信部智能制造专项：海洋工程装备智能制造综合标准化试验验证，2015-2017
27. 上海市科委智能制造专项：基于CPS的军用特种车智能制孔机器人系统及示范应用，2017- 2019
28. 上海市经信委产业转型升级：智能物联技术在造船小组立生产中的创新应用，2016-2017
[工业智能 | Industrial Intelligent]
29. 河南中烟工业有限责任公司：数据智能驱动的制叶丝过程质量稳定性异常预警与应用，2023-2025
30. 中冶宝钢技术服务有限公司：设备智能运维平台-行车智能运维技术研究，2021-2021
31. 军委装发重点项目：XXXX武器设计制造集成技术与系统应用验证，2016-2018
32. 上海市经信委工业互联网专项：高端医疗影像装备研发工业互联网平台与人工智能深度融合创新应用示范，上海联影牵头，2020-2022
[人机协同与机器人|Collaborative Robotics and its applications]
33. 科技部重点研发项目：面向纺织典型行业的机器人自动化生产线示范应用, 2017-2020
34. 国家核电服务企业攻关项目：核电检测机器人校准软件开发，2017-2018
35. 上海航天院第805研究所：月球车移动分系统运动性能仿真与验证系统研制，2013-2015
36. 上海航天院第805研究所：试验舱转位机构动作三维可视化，2014-2015
[工业互联网|Industrial Internet]
37. 上海市经信委工业互联网专项：面向质量提升的航天产品研制关键过程大数据能力创新应用示范，808牵头，2020-2022
38. 上海市经信委工业互联网专项：基于混合工业互联网模式下的船舶结构件协同制造与智能生产线集成应用示范，2017-2019
39. 上海市经信委工业互联网专项：航天飞行器多品种柔性装配智能车间的工业互联网创新应用，2017-2019
40. 工信部工业互联网创新发展工程项目：基于边缘计算的固体火箭发动机异地协同制造工厂内集成应用新模式，2018-2020
41. 安徽红爱，纺织服装柔性制造工业互联网平台设计与规划，2022-2023
专著与论文|Publications (*-通讯作者)
[专著]
1. 鲍劲松. 数字孪生基础——体系、建模与系统集成.华中科技大学出版社.2024年06月.（ISBN：9787577209883）
2. 鲍劲松,刘天元,郑宇. 工业智能方法与应用. 电子工业出版社. 2022年06月. (ISBN: 9787121429583)
3. 鲍劲松,武殿梁,杨旭波. 基于VR/AR的智能制造技术. 华中科技大学出版社. 2020年08月 (ISBN:9787568061971)
4. 鲍劲松,程庆和,张华军,袁轶,金烨,高志龙. 海洋装备数字化工程. 上海科学技术出版社. 2020年10月 (ISBN:9787547847756)
5. 张洁，秦威，鲍劲松. 制造业大数据. 上海科学技术出版社. 2016年4月 (ISBN:978-7-5478-2952-3)
6. Zhang Rong, Bao Jinsong, Lu Yuqian, Li Jie and Lv Qibing, Cyber-Physical Systems: Solutions to pandemic challenges: Human-Robot Collaborative Assembly based on CPS, Book Chapter, 2021. p.71-85, ISBN 978-1-003-18638-0.
7. Xuemin Sun, Shimin Liu, Xinghai Gu, Jinsong Bao*, Jie Li, and Fuqin Hu.Multi-scale Online Monitoring Method of Aerospace Products Assembly Workshop Based on Digital Twin. Studies in Computational Intelligence by Springer: Digital Twins for Digital Transformation and Innovation in Industry: applications and future perspectives, Book chapter, 2021.
[期刊论文]
[2024]
1. 鲍劲松*,吴涛,李婕.可持续纺织生产碳图谱在碳追溯领域的应用潜力和挑战:综述（英文）[J].Journal of Donghua University(English Edition),2024,41(04):349-364.DOI:10.19884/j.1672-5220.202404015.
2. 鲍劲松*, 李建军, 袁轶, 吕超凡,王森. 大语言模型辅助下的增强现实装配方法[J]. 航空制造技术, 2024, 67(16): 107–116.
3. 郑杭彬, 刘天元, 郑汉垚, 左戴悦, 鲍劲松*, 王森. 数字孪生多模态视觉推理的神经-符号系统[J]. 计算机集成制造系统, 2024, 30(05): 1571-1586.
4. 崔鹏,吴涛,周彬,谭天浩, 鲍劲松*. 基于图检索的纺织品生产流程瓶颈挖掘方法[J/OL].6165cc金沙总站检测中心学报(自然科学版),2024，1-9.DOI: https://doi.org/10.19886/j.cnki.dhdz.2024.0266.
5. 吴涛, 李婕, 鲍劲松*, 王新厚, 崔鹏. 羊毛混纺面料生产流程的碳图谱建模与应用[J]. 纺织学报, 2024, 9(45): 97-105. DOI:10.13475/j.fzxb.20230600301.
6. 左戴悦,蒋文波,郑杭彬,鲍劲松*. 面向缺陷识别的可解释视觉问答方法[J]. 计算机集成制造系统, 2024, 1-24.
1. Dong Zhixia, Zhao Xiangyun, Zheng Hangbin, Zheng Hanyao, Chen Dafan, Cao Jia, Xiao Zili, Sun Yunwei, Zhuang Qian, Wu Shan, Xia Jie, Ning Min, Qin Binjie, Zhou Hui*, Bao Jinsong*, Wan Xinjian*. Efficacy of real-time artificial intelligence-aid endoscopic ultrasonography diagnostic system in discriminating gastrointestinal stromal tumors and leiomyomas: a multicenter diagnostic study[J]. Eclinicalmedicine, 2024, 73.
2. Chaofan Lv, Bo Liu, Dianliang Wu, Jianhao Lv, Jianjun Li, Jinsong Bao*. AR-assisted assembly method based on instance segmentation[J]. International Journal of Computer Integrated Manufacturing, 2024: 1-17.
3. Yicheng Sun, Qi Zhang , Jinsong Bao*, Yuqian Lu and Shimin Liu. Empowering digital twins with large language models for global temporal feature learning[J]. Journal of Manufacturing Systems, 2024, 74: 83-99.
4. Tao Wu, Jie Li, Jinsong Bao*, Qiang Liu. ProcessCarbonAgent: A large language models-empowered autonomous agent for decision-making in manufacturing carbon emission management[J]. Journal of Manufacturing Systems, 2024, 76: 429-442.
5. Tao Wu, Jie Li, Jinsong Bao*, Qiang Liu, Zhengkai Jin. CarbonKG: Industrial Carbon Emission Knowledge Graph-Based Modeling and Application for Carbon Traceability of Complex Manufacturing Process[J]. Journal of Computing and Information Science in Engineering, 2024, 24: 081001-1.
6. Tong X, Bao J*, Tao F. Co-evolutionary digital twins: A multidimensional dynamic approach to digital engineering [J]. Advanced Engineering Informatics, 2024, DOI: 10.1016/j.aei.2024.102554.
7. Hanyao Zheng, Hangbin Zheng, Xinjian Wan, Zhixia Dong, Baiyan Li, Jinsong Bao*. Spatio-Temporal Context Fusion Network for Endoscopic Ultrasound Video Segmentation[J]. Journal of ShanghaiJiao Tong University (Science), 2024.
8. Hangbin Zheng, Jinsong Bao*, Zhixia Dong, Xinjian Wan. A data-efficient visual analytics method for human-centered diagnostic systems to endoscopic ultrasonography[J]. Applied Intelligence, 2023, 1-21.
9. Hangbin Zheng, Zhixia Dong, Tianyuan Liu, Hanyao Zheng, Xinjian Wan, Jinsong Bao*. Enhancing gastrointestinal submucosal tumor recognition in endoscopic ultrasonography: A novel multi-attribute guided contextual attention network[J]. Expert Systems with Applications, 2023, 122725.
10. Zhiqiang Sun, Hangbin Zheng, Chaofan Lv, Jingsong Bao*. A fast scene geometric modeling approach for digital twins combining neural rendering and model retrieval[J]. International Journal of Computer Integrated Manufacturing, 2024, 1-19.
11. Tianyuan Liu, Jinsong Bao*. A novel period-sensitive LSTM for laser welding quality prediction. IEEE Transactions on Industrial Informatics, 2024.
12. Tianyuan Liu, Wenhua Jiao, Jinsong Bao*. A novel multi-loss dynamic fusion-enhanced image segmentation model for welding spatter measurement. Journal of Manufacturing Processes, 2024, 128: 125-132.
[2023]
1. 张辉辉,郑龙辉,孙奕程,杨芸,李婕,黄德林,鲍劲松*,张丹.基于数字孪生的行车多因素隐性级联故障诊断[J].计算机集成制造系统,2023,29(06):2086-2101.
2. 孙志强,郑杭彬,吕超凡,孙学民,鲍劲松*.基于神经渲染的数字孪生资产快速场景几何建模与检索方法[J].计算机集成制造系统. 2023
3. 胡志强,刘鸣飞,李琦,李心雨*,鲍劲松.基于多源异构数据的风机多模态装配工艺知识图谱建模[J/OL].上海交通大学学报.2023.
4. 凌威,刘鸣飞,鲍劲松*.基于知识图谱的中性几何模型装配特征语义重建方法[J/OL].计算机集成制造系统.2023.
1. Jianhao Lv, Rong Zhang, Xinyu Li, Shimin Liu, Tianyuan Liu, Qi Zhang and Jinsong Bao*, A Multimodality Scene Graph Generation Approach for Robust Human–Robot Collaborative Assembly Visual Relationship Representation [J], IEEE Transactions on Industrial Informatics, 2023.
2. Weibin Qu, Jie Li*, Rong Zhang, Shiming Liu, Jinsong Bao. Adaptive planning of human–robot collaborative disassembly for end-of-life lithium-ion batteries based on digital twin[J]. Journal of Intelligent Manufacturing, 2023: 1-23.
3. Xingwang Shen, Xinyu Li, Bin Zhou, Yanan Jiang, Jinsong Bao*. Dynamic knowledge modeling and fusion method for custom apparel production process based on knowledge graph[J]. Advanced Engineering Informatics, 2023, 55: 101880.
4. Xingwang Shen, Shimin Liu, Bin Zhou, Tao Wu, Qi Zhang and Jinsong Bao*. Digital Twin-Driven Reinforcement Learning Method for Marine Equipment Vehicles Scheduling Problem[J]. IEEE Transactions on Automation Science and Engineering, 2023.
5. Rong Zhang, Jianhao Lv, Jinsong Bao*, Yu Zheng. A digital twin-driven flexible scheduling method in human-machine collaborative workshop based on hierarchical reinforcement learning[J]. Flexible Services and Manufacturing Journal, 2023,1-23.
6. Jiqun Song, Shimin Liu, Tenglong Ma, Yicheng Sun, Fei Tao, Jinsong Bao*. Resilient digital twin modeling: A transferable approach[J]. Advanced Engineering Informatics 2023;58:102148.
7. Hangbin Zheng, Tianyuan Liu, Jiayu Liu, Jinsong Bao*. Visual analytics for digital twins: a conceptual framework and case study[J]. Journal of Intelligent Manufacturing, 2023: 1-16.
8. Yicheng Sun, Yuqian Lu, Jinsong Bao*, Fei Tao. Prognostics and health management via long short-term digital twins[J]. Journal of Manufacturing Systems, 2023, 68:560-575.
9. Wenbo Jiang, Hangbin Zheng, Jinsong Bao*. A Novel Multi-Step Deep Learning Approach for the Detection of Complex Defects in Solar Cells[J]. Journal of Shanghai Jiaotong University(Science), 2023.
[2022]
1. 刘世民, 孙学民, 陆玉前, 王柏村, 鲍劲松*, 郭国强. 知识驱动的加工产品数字孪生拟态建模方法 [J]. 机械工程学报. 2022
2. 鲍劲松*,张荣,李婕,陆玉前,彭涛.面向人-机-环境共融的数字孪生协同技术[J/OL].机械工程学报. 2022
3. 花豹,周彬,顾星海,鲍劲松*.基于图神经网络的工艺表格语义相似性度量[J].计算机集成制造系统. 2022.
4. 丁志昆,孙奕程,段亮亮,刘世民,鲍劲松*.基于数字孪生的AR多人协作装配方法[J/OL].计算机集成制造系统. 2022
5. 沈慧,刘世民,许敏俊,黄德林,鲍劲松*,郑小虎.面向加工领域的数字孪生模型自适应迁移方法[J].上海交通大学学报,2022,56(01):70-80.
6. 刘亚辉,申兴旺,顾星海,彭涛,鲍劲松*,张丹.面向柔性作业车间动态调度的双系统强化学习方法[J].上海交通大学学报,2022,56(09):1262-1275.
7. 周彬, 花豹, 陆玉前, 等. 面向设备点检故障根因分析的因果知识建模方法[J/OL]. 计算机集成制造系统, 2022.
1. Liu Shimin, Sun Yicheng, Zheng Pai, Lu Yuqian, Bao Jinsong*. Establishing a reliable mechanism model of the digital twin machining system: An adaptive evaluation network approach [J]. Journal of Manufacturing Systems. 2022, 62: 390–401.
2. Bin Zhou, Xingwang Shen, Yuqian Lu, Xinyu Li, Bao Hua, Tianyuan Liu, Jinsong Bao*. Semantic-aware event link reasoning over industrial knowledge graph embedding time series data[J]. International Journal of Production Research, 2022, 1-18.
3. Tianyuan Liu, Hangbin Zheng, Jinsong Bao*, Pai Zheng, Junliang Wang, Changqi Yang, Jun Gu. An Explainable Laser Welding Defect Recognition Method Based on Multi-scale Class Activation Mapping[J]. IEEE Transactions on Instrumentation and Measurement, 2022.
4. Mingfei Liu, Xinyu Li, Jie Li, Yahui Liu, Bin Zhou, Jinsong Bao*. A knowledge graph-based data representation approach for IIoT-enabled cognitive manufacturing[J]. Advanced Engineering Informatics, 2022, 51, 101515.
5. Tianyuan Liu, Jinsong Bao*, Hangbin Zheng, Junliang Wang, Changqi Yang, Jun Gu. Learning semantic-specific visual representation for laser welding penetration status recognition[J]. Science China Technological Sciences, 2022, 65: 347-360.
6. Sun Xuemin, Liu Shimin, Bao Jinsong*, Li Jie, Liu Zengkun. A performance prediction method for a high-precision servo valve supported by digital twin assembly-commissioning[J]. Machines, 2022, 10(1): 1-21.
7. Rong Zhang, Jie Li, Pai Zheng, Yuqian Lu, Jinsong Bao*, XueminSun. A fusion-based spiking neural network approach for predicting collaboration request in human-robot collaboration[J]. Robotics and Computer-Integrated Manufacturing, 2022, 78, 102383.
8. Qibing Lv, Rong Zhang, Tianyuan Liu, Pai Zheng, Yanan Jiang, Jie Li, Jinsong Bao*, Lei Xiao. A strategy transfer approach for intelligent human-robot collaborative assembly[J]. Computers & Industrial Engineering, 2022, 168, 108047.
9. Qibing Lv, Tianyuan Liu, Rong Zhang, Yanan Jiang, Lei Xiao, Jingsong Bao*. Generation Approach of Human-Robot Cooperative Assembly Strategy Based on Transfer Learning[J]. Journal of Shanghai Jiaotong University (Science), 2022, 27: 602-613.
10. Rong Zhang, Jianhao Lv, Jie Li, Jinsong Bao*, Pai Zheng, Tao Peng. A graph-based reinforcement learning-enabled approach for adaptive human-robot collaborative assembly operations[J]. Journal of Manufacturing Systems, 2022, 63:491-503.
11. Shimin Liu, Yuqian Lu, Pai Zheng, Hui Shen, Jinsong Bao*. Adaptive reconstruction of digital twins for machining systems: A transfer learning approach[J]. Robotics and Computer-Integrated Manufacturing, 2022, 78, 102390.
12. Liu Jiayu, Zheng Hangbin, Jiang Yanan, Liu Tianyuan, Bao Jinsong*. Visual Analytics Approach for Crane Anomaly Detection based on Digital Twin. 19th International Conference on Cooperative Design, Visualization and Engineering, 2022
13. Longhui Zheng, Yicheng Sun, Huihui ZHANG, Jingsong Bao*, Xiaochuan Chen, Zhenhong Zhao, Zhonghao Chen, Ruifeng Guan. Modeling and Analysis of Production Logistics Spatio-Temporal Graph Network Driven by Digital Twin[J].Journal of Donghua University(English Edition),2022,39(05):461-474.DOI:10.19884/j.1672-5220.202203004.
14. Bin Zhou, Jie Li, Xinyu Li, et al. Leveraging on causal knowledge for enhancing the root cause analysis of equipment spot inspection failures [J]. Advanced Engineering Informatics, 2022, 54, 101799.
15.Xuemin Sun, Rong Zhang, Shimin Liu, Qibing Lv, Jinsong Bao*, Jie Li. A digital twin‐driven human–robot collaborative assembly‐commissioning method for complex products[J].The International Journal of Advanced Manufacturing Technology, 2022, 118: 3389-3402.
16. Jianhao Lv, Xinyu Li, Yicheng Sun, Yu Zheng, Jingsong Bao*. A bio-inspired LIDA cognitive-based Digital Twin architecture for unmanned maintenance of machine tools[J]. Robotics and Computer-Integrated Manufacturing, 2023, p.15.
[2021]
1. 刘天元,郑杭彬,杨长祺,鲍劲松*,汪俊亮,顾俊.面向激光焊接缺陷识别的可解释性深度学习方法. 航空学报.
2. 鲍劲松*,江亚南,刘家雨.面向认知的新一代纺织智能制造体系. 6165cc金沙总站检测中心学报(自然科学版).
3. 殷士勇,鲍劲松*,唐仕喜,杨芸.环锭纺纱信息物理生产系统建模方法[J].纺织学报,2021,42(02):65-73.
4. 许敏俊,刘世民,沈慧,郑宇,李婕,鲍劲松*,郑小虎,陈革.数字孪生驱动下的弱刚性钻削毛刺控制[J].计算机集成制造系统,2021,1-18.
5. 孙学民,刘世民,申兴旺,黄德林,鲍劲松*.数字孪生驱动的高精密产品智能化装配方法[J].计算机集成制造系统, 2021: 1-17.
6. 吕超凡,言颖杰,林力,柴岗,鲍劲松*. 基于点云语义分割算法的下颌角截骨面设计[J].上海交通大学学报,2021.
7. 吕超凡,黄德林,刘天元,周亚勤,鲍劲松*. 基于点云深度学习的加工特征识别方法[J].计算机集成制造系统,2021.
1. Tianyuan Liu, Jiacheng Wang, Xiaodi Huang, Yuqian Lu, Jinsong Bao*. 3DSMDA-Net：an improved 3DCNN with separable structure and multi-dimensional attention for welding status recognition[J]. Journal of Manufacturing Systems, 2021.
2. Bin Zhou, Jinsong Bao*, Zhiyu Chen, Yahui Liu. KGAssembly: Knowledge graph-driven assembly process generation and evaluation for complex components[J]. International Journal of Computer Integrated Manufacturing, 2021.
3. Basit Farooq, Jinsong Bao*, Hanan Raza, Yicheng Sun, Qingwen Ma. Flow-Shop Path Planning for Multi-Automated Guided Vehicles in Intelligent Textile Spinning Cyber-physical Production Systems Dynamic Environment[J]. Journal of Manufacturing Systems, 2021, 59: 98-116.
4. Shimin Liu, Shanyu Lu, Jie Li, Xuemin Sun, Yuqian Lu, Jinsong Bao*. Machining process-oriented monitoring method based on digital twin via augmented reality[J]. The International Journal of Advanced Manufacturing Technology, 2021.
5. Qibing Lv, Rong Zhang, Xuemin Sun, Yuqian Lu, Jinsong Bao*. A digital twin-driven human-robot collaborative assembly approach in the wake of COVID-19[J]. Journal of Manufacturing Systems, 2021.
6. Zhou Bin, Bao Jinsong*, Li Jie, Lu Yuqian, Liu Tianyuan, Zhang Qiwan. A novel knowledge graph-based optimization approach for resource allocation in discrete manufacturing workshops[J]. Robotics and Computer-Integrated Manufacturing. 2021, 71, 102160. https://doi.org/10.1016/j.rcim.2021.102160
7. Liu Shimin, Lu Yuqian, Li Jie, Song Dengqiang, Sun Xuemin, Bao Jinsong*. Multi-scale evolution mechanism and knowledge construction of a digital twin mimic model[J]. Robotics and Computer-Integrated Manufacturing. 2021, 71, 102123. https://doi.org/10.1016/j.rcim.2021.102123
8. Rong Zhang, Qibin Lv, Jie Li, Jinsong Bao*, Tianyuan Liu, Shimin Liu. A reinforcement learning method for human-robot collaboration in assembly tasks[J]. Robotics and Computer-Integrated Manufacturing. 2022, 73, 102227. https://doi.org/10.1016/j.rcim.2021.102227.
9. Minjun Xu, Shimin Liu, Hui Shen, Jinsong Bao*. Process oriented unstable state monitoring and strategy recommendation for burr suppression of weak rigid drilling system driven by digital twin[J]. The International Journal of Advanced Manufacturing Technology, 2021.
10. Shen Xingwang, Liu Shimin, Zhang Can, Bao Jinsong*. Intelligent material distribution and optimization in the assembly process of large offshore crane lifting equipment[J]. Computers & Industrial Engineering. 2021, 159: 107496.
11. LIU Shimin, Bao Jinsong*, Lu Yuqian, Li Jie, Lu Shanyu, Sun Xuemin. Digital twin modeling method based on biomimicry for machining aerospace components[J]. Journal of Manufacturing Systems. 2021, 58:18095.doi:10.1016/j.jmsy.2020.04.14 (ESI 高被引)
12. Bin Zhou, Bao Hua, Xinghai Gu, Yuqian Lu, Tao Peng, Yu Zheng, Xingwang Shen, Jinsong Bao*. An end-to-end tabular information-oriented causality event evolutionary knowledge graph for manufacturing documents[J]. Advanced Engineering Informatics, 2021.
[2020]
1. 刘天元,鲍劲松*,汪俊亮,郑小虎,王佳铖.受限解空间下粗粒度正则化的熔池边缘自适应检测方法. 焊接学报
2. 刘天元,鲍劲松*,汪俊亮,顾俊.融合时序信息的激光焊接熔透状态识别方法. 中国激光.
3. 宋邓强,周彬,申兴旺,鲍劲松*,周亚勤.面向船舶分段制造过程的动态知识图谱建模方法.上海交通大学学报
4. 王佳铖,鲍劲松*,刘天元,李志强. 基于工件注意力的车间作业行为在线识别方法.计算机集成制造系统
5. 卢山雨,刘世民,丁志昆,鲍劲松*.基于增强现实的数字孪生加工系统建模与多视图交互研究.计算机集成制造系统
6. 胡富琴,杨芸,刘世民,郑小虎,吕晓雷,鲍劲松*.航天薄壁件旋压成型数字孪生高保真建模方法.计算机集成制造系统
7. 顾星海, 鲍劲松*, 吕超凡. 基于知识图谱的装配语义建模. 航空制造技术
8. 余石龙,鲍劲松*,李婕,张启华.基于误差注意力的晶圆制造数据异常检测[J].中国机械工程,2020,31(14):1686-1692.
1. YIN Shiyong, Bao Jinsong*, Zhang Jie, Li Jie, Wang Junliang, Huang Xiaodi. Real-time task processing for spinning cyber-physical production systems based on edge computing[J]. Journal of Intelligent Manufacturing. 2020.06，doi.org/10.1007/s10845-020-01553-6
2. LIU Tianyuan, Bao Jinsong*, Wang Junliang, Zhang Yiming. A Coarse-Grained Regularization Method of Convolutional Kernel for Molten Pool Defect Identification[J]. Journal of Computing and Information Science in Engineering, 2020, 20(2), 021005.
3. Yang Yun, Wang Jiacheng, Liu Tianyuan, Lv Xiaolei, Bao Jinsong*. Improved Long Short-Term Memory Network with Multi-Attention for Human Action Flow Evaluation in Workshop[J]. Applied Sciences, 2020, 10(21): 7856.
4. Liu Ziwen, Xiao Lei*, Bao Jinsong, Tao Qingbao. Bearing Incipient Fault Detection Method Based on Stochastic Resonance with Triple-Well Potential System. Journal of Shanghai Jiaotong University (Science), 2020:1-6.
5. Farooq Basit, Bao Jinsong*, Ma Qingwen. Flow-Shop Predictive Modeling for Multi-Automated Guided Vehicles Scheduling in Smart Spinning Cyber-physical Production Systems. Electronics, 2020, 9(5).
6. Li Zhiqiang, Bao Jinsong*, Liu Tianyuan, Wang Jiacheng. Judging the Normativity of PAF Based on TFN and NAN. Journal of Shanghai Jiaotong University (Science), 2020, 25(5): 569-577.
7. Chen Zhiyu, Bao Jinsong*, Zheng Xiaohu, Liu Tianyuan. Assembly Information Model Based on Knowledge Graph. Journal of Shanghai Jiaotong University (Science), 2020, 25(5): 578-588.
[2019年]
1. 殷士勇,鲍劲松*,孙学民,王佳铖.基于信息物理系统的环锭纺纱智能车间温度闭环精准控制方法. 纺织学报, 2019,40(2):159-165
2. 鲍劲松*,李志强,周亚勤.基于遗传算法的舰载装备多目标作业调度优化研究. 系统仿真学报, 2019, 31(5):901-908
1.YIN Shiyong, Bao Jinsong*, ZHANG Jie, Li Jie. Real-time task processing method based on edge computing for spinning CPS. Front. Mech. Eng.2019, 14(3):320–331.
2.SUN Xuemin, Bao Jinsong*, LI Jie, ZHANG Yiming, LIU Shimin, ZHOU Bin. A Digital Twin-Driven Approach for the Assembly-Commissioning of High Precision Products. Robotics and Computer Integrated Manufacturing, 2019,61.
[2016-2018年]
1. 鲍劲松*,李志强,项前,武殿梁,郑小虎.半实物虚拟装配的建模、演化与应用. 机械工程学报, 2018,54(11):61-69
1. BAO Jinsong, GUO Dongsheng, LI Jie, ZHANG Jie. The modelling and operations for the digital twin in the context of manufacturing. Enterprise Information Systems,2018:1-23.
2. BAO Jinsong, ZHENG Xiaohu, ZHANG Jianguo, et al. Data-driven process planning for shipbuilding. AI Edam-Artificial Intelligence for Engineering Design Analysis and Manufacturing, 2018,32(1):122-130.
3. LIU Tianyuan, BAO Jinsong*, WANG Junliang, ZHANG Yiming. A Hybrid CNN–LSTM Algorithm for Online Defect Recognition of CO2 Welding. Sensors,2018, 18(12):4369.
4. YIN Shiyong, BAO Jinsong*, ZHANG Yiming, HUANG Xiaodi. M2M Security Technology of CPS Based on Blockchains. Symmetry-Basel, 2017,9(9):193.
5. BAO Jinsong, WANG Qian, ZHENG Xiaohu, ZHANG Jianguo, JI Xia. A human-machine interaction approach of block erection schedule with three-dimensional spatial constraints, Concurrent Engineering-Research and Applications,2016,24(4):359-368.
[国际会议论文 | Conference papers]
1. Shen Xingwang, Liu Shimin, Zhou Bin, Zheng Yu, Bao Jinsong*. Digital twin-based scheduling method for marine equipment material transportation vehicles. 2022 IEEE 18th International Conference on Automation Science and Engineering (CASE). IEEE, 2022: 100-105.
2. Rong Zhang; Xinyu Li; Yu Zheng; Jianhao Lv; Jie Li; Pai Zheng; Jinsong Bao*. Cognition-driven Robot Decision Making Method in Human-robot Collaboration Environment. 2022 IEEE 18th International Conference on Automation Science and Engineering (CASE), 2022, pp. 54-59.
3. Bin Zhou, Jinsong Bao*, Yahui Liu, Dengqiang Song.BA-IKG : BiLSTM Embedded ALBERT for Industrial Knowledge Graph Generation and Reuse.18th IEEE International Conference on Industrial Informatics, 2020.
4. Jiang Yanan, Liu Yahui, Bao Jinsong*, Li Jie, Zhang Jie, Fang Yunhao.Human-in-Cognition Manfacturing-Loop（HCML）: Framework and Technologies. Proceedings of the ASME 2020 15th International Manufacturing Science and Engineering Conference, 2020.
5. SUN Xuemin, BAO Jinsong*, YIN Shiyong, LI Zhiqiang. Global Optimization of Thermal Fatigue Resistance of Brake Disc Materials Based on Genetic Algorithm and Neural Network. IOP Conference Series: MSE,2018
6. BAO Jinsong*, YUAN Guangchao, ZHENG Xiaohu, ZHANG Jianguo, JI Xia. A Data Driven Model for Predicting Tool Health Condition in High Speed Milling of Titanium Plates Using Real-Time SCADA. 24th CIRP LCE, Kamakura, Japan, MAR 08-10, 2017.
7.BAO Jinsong*, YIN Shiyong, ZHENG Xiaohu. A framework of cyber-physical system for smart cotton production. 13th IEEE CASE, Xi'an, China, 20-23 Aug. 2017
发明专利 | Patents
1. 鲍劲松，刘世民，许敏俊，孙学民，沈慧，丁志昆。一种基于数字孪生的加工过程自适应控制方法，2024.专利号：CN113985814A
2. 鲍劲松，许开州，胡富琴，郑小虎，杨锋，沈慧。一种基于边缘计算的航天薄壁件旋压加工质量管理系统，2024.专利号：CN114862096A
3. 鲍劲松，刘世民，孙学民，许敏俊，沈慧，丁志昆，顾星海。一种基于增量模型的数字孪生系统协同进化方法，2024.专利号：CN113609672A
4. 鲍劲松，丁志昆，刘世民，孙学民，顾星海，许敏俊，沈慧。一种基于数字孪生的多人协作AR装配方法和系统，2024.专利号：CN113673894B
5. 李婕，张良山，鲍劲松。一种手机拆解流水线，2024.专利号：CN112518300B
6. 鲍劲松，沈慧，刘世民，孙学民，许敏俊，丁志昆，顾星海。面向加工质量预测的数字孪生模型工况自适应方法及系统，2023.专利号：CN113673166A
7. 鲍劲松，沈慧，刘世民，孙学民，许敏俊，丁志昆，顾星海。一种面向加工的数字孪生产品模型的迁移方法，2023.专利号：CN113569453B
8. 鲍劲松，李志强，殷士勇。基于CAD与实测数据共融模型的虚拟装配系统及方法，2023.专利号：CN109145471B
9. 刘鸣飞，吕超凡，鲍劲松，丁司懿。风机装置Creo模型的特征匹配性检测系统，2023.专利号：CN110659652A
10. 周彬，鲍劲松，张启万，刘天元，刘亚辉。一种基于知识图谱驱动的设备资源配置优化方法，2023.专利号：CN111191821B
11. 鲍劲松，孙学民，刘世民，顾星海，李婕。面向装配质量预测的高精密产品数字孪生可计算性方法，2022.专利号：CN113504768A
12. 肖雷，汤俊萱，鲍劲松。时变工况下设备机会维护和生产调度集成优化方法，2022.专利号：CN110865617A
13. 李婕，张良山，鲍劲松。一种手机拆解辅助夹具，2021. 专利号：CN214135818U
14. 殷士勇，鲍劲松。一种基于边缘计算的纺纱CPS及其实时任务处理方法，2021.专利号：CN108510150B
15. 鲍劲松,陈治宇,刘世民,丁鹏鹏,孙习武,陈长江,翁海红。基于卷积神经网络航天结构件工业物联标识激光打码系统, 2020, 专利号: CN109291657B.
16. 申兴旺,鲍劲松,卢山雨,张菲菲。A visualization method of ship structural parts based on a multi-scale model, 2020, 澳大利亚革新专利: 2020101597.
17. 殷士勇,鲍劲松。一种基于区块链技术的棉纺生产CPS中M2M安全方法, 2019,专利号：CN107566342B.
18. 鲍劲松,武殿梁。融合Kinect设备和Delmia环境的人机交互虚拟装配系统及装配方法, 2016,专利号: CN 201310113138.8
19. 鲍劲松。集成Modelica的三维视景仿真系统, 2013,专利号: CN 201110320681.6
20. 鲍劲松,金烨,程庆和,潘建辉,胡小锋。三维空间约束下的船舶分段吊装仿真系统, 2012,专利号: CN 2010102300451.6
荣誉及获奖 | Honors
1. 上海市科技进步三等奖(上海市人民政府，2016年)
2. 中国造船工程学会科学技术奖三等奖(中国造船工程学会，2016年)
3. “纺织之光”奖教金（2017）、“纺织之光”科技进步2等奖(2022年)
4. 中国造船工程学会科学技术奖 | 科技进步奖二等奖（中国造船工程学会，2023）
学术兼职与服务 | Affiliations and services
1. 上海市图学学会，常务理事，数字化专委会主任
2. 中国机械工程学会机器人分会 第一届理事
3. 中国机械工程学会工业大数据与智能系统分会 第一届理事
4. 中国人工智能学会智能制造专业委员会 理事
5. 国际期刊IJPOM编委（2005-2015），Scientific Reports编委（2024-），国际期刊IJPR Guest Editor （2024）， RCIM Guest Editor（2020），AIEDM Guest Editor（2020），JMS，JIM，JPM，IJCIM，IJPR，IJAMT，IEEE IOT，IEEE TII等国际刊物评审专家
6. 国家自然科学基金委通讯评议专家
主要特邀报告 | Speeches and invited reports
1. 第二届数字孪生全国学术会议，DT++，2018，郑州
2. AIAAT，2018，Applications and technologies on AI-assisted smart manufacturing，Shanghai
3. 第三届数字孪生全国学术会议，数字孪生参考模型，2019，广州
4. AIAAT 2019，Data Intelligence: Empowering DT++ Manufacturing，Xi'An
5. 中国国际大数据产业博览会——知识创新驱动大数据与产业深度融合研讨会,工业大数据为制造赋能,2019,贵州
6. 上海工博会-2019InterTextile，纺织工业互联网内涵与趋势，2019，上海
7. 上海外高桥厂庆论坛，工业互联网与船舶智能制造，2019，上海
8. BDAI 2019，Industrial Intelligence for Manufacturing，Shanghai
9. 2019上海国际纺织智能制造高峰论坛，工业互联网：纺织智能制造的使能器，2019，上海
10. 第四届数字孪生全国学术会议，制造数字孪生与知识图谱，2020，西安
11. 第五届数字孪生全国学术会议，GPTwin，2023，济南
教学 | Teaching
1. 本科生课程：《工程导论》、《数字孪生基础》、2016-2019《机器人导论》、2016-2019《机械制造技术基础》、2016-2019《工程数据处理与可视化》
2. 研究生课程：《智能制造系统》（英语）、《工业大数据》、2016-2019《机械工程领域专业（行业）前沿进展》
欢迎博士后、智能制造领域学者（偏计算机方向）老师加盟！