鮑勁松, 教授🧌🌥、博士生導師
Bao Jinsong, Ph.D, Professor
沐鸣2娱乐智能製造研究所 | 所長
沐鸣2娱乐4號沐鸣2樓3033室
Room 3033, College of Mechanical Engineering (Building 4#), Donghua University
Email: bao@dhu.edu.cn
招生 | Admission
學術博士🪨：(080200) 機械工程
工程博士🕵🏼♂️：(085500) 機械
碩士：機械工程 計算機科學
介紹 | Biography
1999-2002♿：上海交通大學機械與動力工程沐鸣2🪬，工學博士學位
2002-2015🏀：上海交通大學 計算機集成製造研究所，講師🧑🧑🧒🧒、副教授
2010-2011🔠：美國USC大學訪問學者 | 2023-2024: 新西蘭奧克蘭大學高級訪問教授
2015至今：沐鸣2注册 智能製造研究所，所長，教授，博士生導師
研究方向 | Research Areas
智能製造系統🙎🏿♀️：Digital Twin/CPS
工業軟件：Digital Thread、DTOps👩🦲⚾️、Cloud Native
工業智能：Industrial LLMs、Industrial Semantic Graph、Multi-Modal、Cognitive/Agentic Computing
人機協作與具身：Co-Robot、Embodied Intelligence、Digital Reality
科研項目 | Funding
[工業軟件方向 | Industrial Software]
1. 茂盟工程技術股份有限公司：數據驅動的智慧能源系統研發💇🏼♀️，2024-2026
2. 上海寶信軟件股份有限公司：鋼鐵CPS數字孿生技術研究，2023-2024
3. 上海寶信軟件股份有限公司👏🏿：面向特定行業應用的CPS系統測試驗證床建設🚶♂️➡️，2024-2024
4. 滬東中華造船（集團）有限公司：面向船舶垂直領域的大語言模型框架構建😼，2024-2025
5. 工業互聯網創新發展工程——解決方案應用推廣公共服務平臺，2020-2022
6. 上海市經信委項目(2021-GYHLW-01013)：“飛梭智紡”雲上智造·產業鏈協同服務平臺, 2021-2023
7. 中冶寶鋼技術服務有限公司🛫：設備智能運維AR系統研發，2021-2021
8. 中冶寶鋼技術服務有限公司：數字孿生基礎平臺開發🫎，2021-2021
9. 福建百宏實業有限公司🚒：“福建百宏MES定製與可視化”，2017-2018
10. 茂盟工程技術股份有限公司：“分布式綜合智慧能源系統模型與AI算法研究”，2019-2020
11. 國家發改委/工信部智能重大專項：海上鉆井平臺裝備製造焊接智能化車間-子課題“海工平臺設計工藝生產信息集成系統”，2014-2016
12.上海市經信委兩化融合專項：船舶三維設計平臺(SPD系統)的深化開發與應用(滬東中華牽頭)👨🏼🏭，2012-2014
13.航天材料及工藝研究所：艙段加工裝配工序仿真優化系統研製，2015-2016
14.航天材料及工藝研究所🔕🙁：艙段實測模型虛擬裝配及偏差分析系統研製🧏🏼♂️，2016-2017
15.航天材料及工藝研究所：復合材料艙段三維裝配工藝仿真及現場可視化系統，2015-2016
16.中國船舶工業集團公司第七〇八研究所⛷：船體NURBS曲面顯示及交互技術，2015-2015
[智能製造系統方向 | Intelligent Manufacture System]
17. 國家自然科學基金面上項目🫥：元數字孿生🍤，2024-2027
18. 國家自然科學基金面上項目🛍️：半實物虛擬裝配的建模理論、共融方法及支撐技術❤️，2015-2018
19. 國家自然科學基金面上項目：大尺度復雜結構產品裝配的胖模型演進與驅動研究，2010-2014
20. 科技部重點研發計劃-網絡協同製造和智能工廠專項✡︎🙇🏻♂️：面向紡織服裝產業集聚區域的網絡協同製造集成技術研究與示範，2019-2022
21. 工信部智能製造專項：低功耗環錠紡紗智能工廠建設項目，2018-2020
22. 工信部智能製造專項🐼：航天關鍵結構件製造工業物聯應用標準研究與試驗驗證🌭👧，2017-2019
23. 工信部智能製造專項🏊🏽：高端醫療影像設備智能工廠建設項目，2017-2019
24. 工信部智能製造專項✈️：功能性衛生用品智能生產數字化車間，2017-2019
25. 工信部智能製造專項：高端針織面料生產智能管控通用信息模型標準與試驗驗證，2017-2019
26. 工信部智能製造專項👛：海洋工程裝備智能製造綜合標準化試驗驗證，2015-2017
27. 上海市科委智能製造專項🧛♂️：基於CPS的軍用特種車智能製孔機器人系統及示範應用，2017- 2019
28. 上海市經信委產業轉型升級：智能物聯技術在造船小組立生產中的創新應用，2016-2017
[工業智能 | Industrial Intelligent]
29. 河南中煙工業有限責任公司：數據智能驅動的製葉絲過程質量穩定性異常預警與應用🤹🏿，2023-2025
30. 中冶寶鋼技術服務有限公司🤹🏽♀️：設備智能運維平臺-行車智能運維技術研究🆔，2021-2021
31. 軍委裝發重點項目：XXXX武器設計製造集成技術與系統應用驗證，2016-2018
32. 上海市經信委工業互聯網專項：高端醫療影像裝備研發工業互聯網平臺與人工智能深度融合創新應用示範，上海聯影牽頭🧑🏻💼💁🏽♂️，2020-2022
[人機協同與機器人|Collaborative Robotics and its applications]
33. 科技部重點研發項目🦹🏼♀️：面向紡織典型行業的機器人自動化生產線示範應用, 2017-2020
34. 國家核電服務企業攻關項目：核電檢測機器人校準軟件開發，2017-2018
35. 上海航天院第805研究所：月球車移動分系統運動性能仿真與驗證系統研製，2013-2015
36. 上海航天院第805研究所：試驗艙轉位機構動作三維可視化，2014-2015
[工業互聯網|Industrial Internet]
37. 上海市經信委工業互聯網專項👨🏽🎨：面向質量提升的航天產品研製關鍵過程大數據能力創新應用示範，808牽頭，2020-2022
38. 上海市經信委工業互聯網專項：基於混合工業互聯網模式下的船舶結構件協同製造與智能生產線集成應用示範，2017-2019
39. 上海市經信委工業互聯網專項🛥：航天飛行器多品種柔性裝配智能車間的工業互聯網創新應用🤽🏿♂️🚴🏼♀️，2017-2019
40. 工信部工業互聯網創新發展工程項目🫓：基於邊緣計算的固體火箭發動機異地協同製造工廠內集成應用新模式，2018-2020
41. 安徽紅愛，紡織服裝柔性製造工業互聯網平臺設計與規劃🔷，2022-2023
專著與論文|Publications (*-通訊作者)
[專著]
1. 鮑勁松. 數字孿生基礎——體系、建模與系統集成.華中科技大學出版社.2024年06月.（ISBN：9787577209883）
2. 鮑勁松,劉天元,鄭宇. 工業智能方法與應用. 電子工業出版社. 2022年06月. (ISBN: 9787121429583)
3. 鮑勁松,武殿梁,楊旭波. 基於VR/AR的智能製造技術. 華中科技大學出版社. 2020年08月 (ISBN:9787568061971)
4. 鮑勁松,程慶和,張華軍,袁軼,金燁,高誌龍. 海洋裝備數字化工程. 上海科學技術出版社. 2020年10月 (ISBN:9787547847756)
5. 張潔，秦威▫️，鮑勁松. 製造業大數據. 上海科學技術出版社. 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.
[期刊論文]
[2024]
1. 鮑勁松*,吳濤,李婕.可持續紡織生產碳圖譜在碳追溯領域的應用潛力和挑戰:綜述（英文）[J].Journal of Donghua University(English Edition),2024,41(04):349-364.DOI:10.19884/j.1672-5220.202404015.
2. 鮑勁松*, 李建軍, 袁軼, 呂超凡,王森. 大語言模型輔助下的增強現實裝配方法[J]. 航空製造技術, 2024, 67(16): 107–116.
3. 鄭杭彬, 劉天元, 鄭漢垚, 左戴悅, 鮑勁松*, 王森. 數字孿生多模態視覺推理的神經-符號系統[J]. 計算機集成製造系統, 2024, 30(05): 1571-1586.
4. 崔鵬,吳濤,周彬,譚天浩, 鮑勁松*. 基於圖檢索的紡織品生產流程瓶頸挖掘方法[J/OL].沐鸣2娱乐學報(自然科學版),2024🏔，1-9.DOI: https://doi.org/10.19886/j.cnki.dhdz.2024.0266.
5. 吳濤, 李婕, 鮑勁松*, 王新厚, 崔鵬. 羊毛混紡面料生產流程的碳圖譜建模與應用[J]. 紡織學報, 2024, 9(45): 97-105. DOI:10.13475/j.fzxb.20230600301.
6. 左戴悅,蔣文波,鄭杭彬,鮑勁松*. 面向缺陷識別的可解釋視覺問答方法[J]. 計算機集成製造系統, 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. 張輝輝,鄭龍輝,孫奕程,楊芸,李婕,黃德林,鮑勁松*,張丹.基於數字孿生的行車多因素隱性級聯故障診斷[J].計算機集成製造系統,2023,29(06):2086-2101.
2. 孫誌強,鄭杭彬,呂超凡,孫學民,鮑勁松*.基於神經渲染的數字孿生資產快速場景幾何建模與檢索方法[J].計算機集成製造系統. 2023
3. 胡誌強,劉鳴飛,李琦,李心雨*,鮑勁松.基於多源異構數據的風機多模態裝配工藝知識圖譜建模[J/OL].上海交通大學學報.2023.
4. 淩威,劉鳴飛,鮑勁松*.基於知識圖譜的中性幾何模型裝配特征語義重建方法[J/OL].計算機集成製造系統.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. 劉世民, 孫學民, 陸玉前, 王柏村, 鮑勁松*, 郭國強. 知識驅動的加工產品數字孿生擬態建模方法 [J]. 機械工程學報. 2022
2. 鮑勁松*,張榮,李婕,陸玉前,彭濤.面向人-機-環境共融的數字孿生協同技術[J/OL].機械工程學報. 2022
3. 花豹,周彬,顧星海,鮑勁松*.基於圖神經網絡的工藝表格語義相似性度量[J].計算機集成製造系統. 2022.
4. 丁誌昆,孫奕程,段亮亮,劉世民,鮑勁松*.基於數字孿生的AR多人協作裝配方法[J/OL].計算機集成製造系統. 2022
5. 沈慧,劉世民,許敏俊,黃德林,鮑勁松*,鄭小虎.面向加工領域的數字孿生模型自適應遷移方法[J].上海交通大學學報,2022,56(01):70-80.
6. 劉亞輝,申興旺,顧星海,彭濤,鮑勁松*,張丹.面向柔性作業車間動態調度的雙系統強化學習方法[J].上海交通大學學報,2022,56(09):1262-1275.
7. 周彬, 花豹, 陸玉前, 等. 面向設備點檢故障根因分析的因果知識建模方法[J/OL]. 計算機集成製造系統, 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. 劉天元,鄭杭彬,楊長祺,鮑勁松*,汪俊亮,顧俊.面向激光焊接缺陷識別的可解釋性深度學習方法. 航空學報.
2. 鮑勁松*,江亞南,劉家雨.面向認知的新一代紡織智能製造體系. 沐鸣2娱乐學報(自然科學版).
3. 殷士勇,鮑勁松*,唐仕喜,楊芸.環錠紡紗信息物理生產系統建模方法[J].紡織學報,2021,42(02):65-73.
4. 許敏俊,劉世民,沈慧,鄭宇,李婕,鮑勁松*,鄭小虎,陳革.數字孿生驅動下的弱剛性鉆削毛刺控製[J].計算機集成製造系統,2021,1-18.
5. 孫學民,劉世民,申興旺,黃德林,鮑勁松*.數字孿生驅動的高精密產品智能化裝配方法[J].計算機集成製造系統, 2021: 1-17.
6. 呂超凡,言穎傑,林力,柴崗,鮑勁松*. 基於點雲語義分割算法的下頜角截骨面設計[J].上海交通大學學報,2021.
7. 呂超凡,黃德林,劉天元,周亞勤,鮑勁松*. 基於點雲深度學習的加工特征識別方法[J].計算機集成製造系統,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. 劉天元,鮑勁松*,汪俊亮,鄭小虎,王佳铖.受限解空間下粗粒度正則化的熔池邊緣自適應檢測方法. 焊接學報
2. 劉天元,鮑勁松*,汪俊亮,顧俊.融合時序信息的激光焊接熔透狀態識別方法. 中國激光.
3. 宋鄧強,周彬,申興旺,鮑勁松*,周亞勤.面向船舶分段製造過程的動態知識圖譜建模方法.上海交通大學學報
4. 王佳铖,鮑勁松*,劉天元,李誌強. 基於工件註意力的車間作業行為在線識別方法.計算機集成製造系統
5. 盧山雨,劉世民,丁誌昆,鮑勁松*.基於增強現實的數字孿生加工系統建模與多視圖交互研究.計算機集成製造系統
6. 胡富琴,楊芸,劉世民,鄭小虎,呂曉雷,鮑勁松*.航天薄壁件旋壓成型數字孿生高保真建模方法.計算機集成製造系統
7. 顧星海, 鮑勁松*, 呂超凡. 基於知識圖譜的裝配語義建模. 航空製造技術
8. 余石龍,鮑勁松*,李婕,張啟華.基於誤差註意力的晶圓製造數據異常檢測[J].中國機械工程,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,鮑勁松*,孫學民,王佳铖.基於信息物理系統的環錠紡紗智能車間溫度閉環精準控製方法. 紡織學報, 2019,40(2):159-165
2. 鮑勁松*,李誌強,周亞勤.基於遺傳算法的艦載裝備多目標作業調度優化研究. 系統仿真學報, 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. 鮑勁松*,李誌強,項前,武殿梁,鄭小虎.半實物虛擬裝配的建模、演化與應用. 機械工程學報, 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.
[國際會議論文 | 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
發明專利 | Patents
1. 鮑勁松🏙，劉世民🧤，許敏俊，孫學民，沈慧，丁誌昆💜。一種基於數字孿生的加工過程自適應控製方法，2024.專利號：CN113985814A
2. 鮑勁松，許開州👨🏽💼，胡富琴🕵🏽♂️，鄭小虎，楊鋒🐧，沈慧🏇🏼🤾🏻♀️。一種基於邊緣計算的航天薄壁件旋壓加工質量管理系統，2024.專利號：CN114862096A
3. 鮑勁松🐍，劉世民，孫學民，許敏俊，沈慧，丁誌昆🙆🏽♂️，顧星海🚶♂️➡️。一種基於增量模型的數字孿生系統協同進化方法🪬，2024.專利號：CN113609672A
4. 鮑勁松，丁誌昆👩🦱，劉世民，孫學民，顧星海🔏🦬，許敏俊，沈慧。一種基於數字孿生的多人協作AR裝配方法和系統🏅，2024.專利號🧙🏽♀️：CN113673894B
5. 李婕，張良山😣，鮑勁松🧙🏼♂️。一種手機拆解流水線，2024.專利號：CN112518300B
6. 鮑勁松，沈慧🚴🏿♂️，劉世民📵，孫學民，許敏俊，丁誌昆🤢，顧星海。面向加工質量預測的數字孿生模型工況自適應方法及系統🙎♀️，2023.專利號：CN113673166A
7. 鮑勁松，沈慧，劉世民，孫學民，許敏俊🧓，丁誌昆，顧星海𓀘。一種面向加工的數字孿生產品模型的遷移方法，2023.專利號👩👩👦：CN113569453B
8. 鮑勁松🪅🤚🏼，李誌強😙，殷士勇👨🦽➡️。基於CAD與實測數據共融模型的虛擬裝配系統及方法👩🏻🦼，2023.專利號：CN109145471B
9. 劉鳴飛，呂超凡，鮑勁松，丁司懿。風機裝置Creo模型的特征匹配性檢測系統，2023.專利號：CN110659652A
10. 周彬，鮑勁松🏂🏽，張啟萬📆，劉天元↖️，劉亞輝🦺。一種基於知識圖譜驅動的設備資源配置優化方法，2023.專利號：CN111191821B
11. 鮑勁松，孫學民，劉世民🤜🏼，顧星海😇，李婕🩼。面向裝配質量預測的高精密產品數字孿生可計算性方法🗒，2022.專利號：CN113504768A
12. 肖雷，湯俊萱🥷🏼，鮑勁松🛅。時變工況下設備機會維護和生產調度集成優化方法❣️，2022.專利號：CN110865617A
13. 李婕，張良山，鮑勁松。一種手機拆解輔助夾具，2021. 專利號🧑🏿🚒：CN214135818U
14. 殷士勇，鮑勁松👨🏽🔧。一種基於邊緣計算的紡紗CPS及其實時任務處理方法🥹，2021.專利號💽：CN108510150B
15. 鮑勁松,陳治宇,劉世民,丁鵬鵬,孫習武,陳長江,翁海紅。基於卷積神經網絡航天結構件工業物聯標識激光打碼系統, 2020, 專利號: CN109291657B.
16. 申興旺,鮑勁松,盧山雨,張菲菲。A visualization method of ship structural parts based on a multi-scale model, 2020, 澳大利亞革新專利: 2020101597.
17. 殷士勇,鮑勁松。一種基於區塊鏈技術的棉紡生產CPS中M2M安全方法, 2019,專利號：CN107566342B.
18. 鮑勁松,武殿梁。融合Kinect設備和Delmia環境的人機交互虛擬裝配系統及裝配方法, 2016,專利號: CN 201310113138.8
19. 鮑勁松👩🏿🔬。集成Modelica的三維視景仿真系統, 2013,專利號: CN 201110320681.6
20. 鮑勁松,金燁,程慶和,潘建輝,胡小鋒👨⚕️。三維空間約束下的船舶分段吊裝仿真系統, 2012,專利號: CN 2010102300451.6
榮譽及獲獎 | Honors
1. 上海市科技進步三等獎(上海市人民政府，2016年)
2. 中國造船工程學會科學技術獎三等獎(中國造船工程學會，2016年)
3. “紡織之光”獎教金（2017）🧏🏽♂️、“紡織之光”科技進步2等獎(2022年)
4. 中國造船工程學會科學技術獎 | 科技進步獎二等獎（中國造船工程學會🛄，2023）
學術兼職與服務 | Affiliations and services
1. 上海市圖學學會，常務理事，數字化專委會主任
2. 中國機械工程學會機器人分會 第一屆理事
3. 中國機械工程學會工業大數據與智能系統分會 第一屆理事
4. 中國人工智能學會智能製造專業委員會 理事
5. 國際期刊IJPOM編委（2005-2015）📳，Scientific Reports編委（2024-），國際期刊IJPR Guest Editor （2024）， RCIM Guest Editor（2020），AIEDM Guest Editor（2020）🔅，JMS👨🏻🦼➡️，JIM，JPM✍🏻👩🏻🚀，IJCIM🤒，IJPR🎤，IJAMT，IEEE IOT，IEEE TII等國際刊物評審專家
6. 國家自然科學基金委通訊評議專家
主要特邀報告 | Speeches and invited reports
1. 第二屆數字孿生全國學術會議，DT++，2018，鄭州
2. AIAAT🙍🏿，2018，Applications and technologies on AI-assisted smart manufacturing🪛，Shanghai
3. 第三屆數字孿生全國學術會議，數字孿生參考模型🚶➡️，2019，廣州
4. AIAAT 2019，Data Intelligence: Empowering DT++ Manufacturing，Xi'An
5. 中國國際大數據產業博覽會——知識創新驅動大數據與產業深度融合研討會,工業大數據為製造賦能,2019,貴州
6. 上海工博會-2019InterTextile，紡織工業互聯網內涵與趨勢🚥，2019，上海
7. 上海外高橋廠慶論壇，工業互聯網與船舶智能製造，2019，上海
8. BDAI 2019，Industrial Intelligence for Manufacturing📆，Shanghai
9. 2019上海國際紡織智能製造高峰論壇🕌，工業互聯網：紡織智能製造的使能器，2019，上海
10. 第四屆數字孿生全國學術會議，製造數字孿生與知識圖譜👐🏿，2020➿，西安
11. 第五屆數字孿生全國學術會議☦️，GPTwin，2023🫲，濟南
教學 | Teaching
1. 本科生課程：《工程導論》、《數字孿生基礎》、2016-2019《機器人導論》📎、2016-2019《機械製造技術基礎》🧟♀️、2016-2019《工程數據處理與可視化》
2. 研究生課程：《智能製造系統》（英語）、《工業大數據》、2016-2019《機械工程領域專業（行業）前沿進展》
歡迎博士後、智能製造領域學者（偏計算機方向）老師加盟🥒！