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          尊龙Z6.com

          鲍劲松

          来源:邓士豪发稿时间:2019-03-06浏览次数:17303


          鲍劲松教授、博士生导师

          Bao Jinsong, Ph.D, Professor

          东华大学智能制造研究所 |所长

          东华大学4号学院楼3033

          Room 3033, College of Mechanical Engineering (Building 4#), Donghua University

          Email: bao at share0750.cn


          博士招生 | PhD Admission

          学术博士:(080200)  机械工程

          工程博士:(085500)  机械


          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

            2015至今:东华大学机械工程学院 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:CPS/CPPSDigital Thread/Digital Twin

            工业智能:Industrial CV/ NLPIndustrial Knowledge GraphBig Data

            人机协同与机器人:Human FactorCo-RobotCognitive Computing

            数字现实:VR/AR/MR

            

          科研项目 | Funding*-在研,#-结题)

          [智能制造系统方向 | Intelligent Manufacture System]

          1.2019年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,项目负责人(*

          2.2018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,本单位负责人(#

          3.2018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,子课题负责人(#

          4.2017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,本单位负责人(#

          5.2017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,主要参与(#

          6.2017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,本单位负责人(#

          7.2017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,主要参与(#

          8.2017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,本单位负责人(#

          9.2017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,主要参与(#

          10.2017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,本单位负责人(#

          11.福建百宏实业有限公司:“福建百宏MES定制与可视化”,2017-2018#,横向)

          12.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(横向,#

          13.2016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,本单位负责人(#

          14.2016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,本单位负责人(#

          15.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,主要参与(#

          [工业智能 | Industrial Intelligent]

          16.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,负责人(#

          17.国家自然基金面上项目:“大尺度复杂结构产品装配的胖模型演进与驱动研究”,2010-2014,负责人(#

          18.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,子课题负责人(#

          19.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,本单位负责人(#

          20.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,负责人(#,横向)

          21.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,负责人(#,横向)

          22.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,负责人(#,横向)

          23.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,负责人(#,横向)

          24.2020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,本单位负责人(*

          25.2020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,本单位负责人(*

          [人机协同与机器人|Collaborative Robotics and its applications]    

          26.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,技术骨干(*

          27.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,负责人(#,横向)

          28.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,负责人(#,横向)

          29.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,负责人(#,横向)

          【工业互联网】

          30.2020年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,本单位负责人(*

          专著与论文|Publications (*-通讯作者)

          [专著]  

          1.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。202008(ISBN:9787568061971)

          2.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。202010(ISBN:9787547847756)

          3.张洁,秦威,鲍劲松. 制造业大数据. 上海科学技术出版社. 20164(ISBN:978-7-5478-2952-3) 

          [期刊论文]

          [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. 东华大学学报(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. 


          1.Tianyuan Liu, Jiacheng Wang, Xiaodi Huang, Yuqian Lu, Jinsong Bao*. 3DSMDA-Netan 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. http://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. http://doi.org/10.1016/j.rcim.2021.102123


          [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. 2020.06doi.org/10.1007/s10845-020-01553-6

          2.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. doi:10.1016/j.jmsy.2020.04.14

          3.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.

          4.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.

          5.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.

          6.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).

          7.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.

          8.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]

          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]

          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.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.

          2.Jiang Yanan, Liu Yahui, Bao Jinsong, Li Jie, Zhang Jie, Fang Yunhao.Human-in-Cognition Manfacturing-LoopHCML: Framework and Technologies. Proceedings of the ASME 2020 15th International Manufacturing Science and Engineering Conference, 2020.

          3.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

          4.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

          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


          发明专利 | Patents

          1. 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, 2020.10.30, 专利号: CN109291657B.

          2. 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, 2020.8.26, 澳大利亚革新专利:  2020101597.

          3. 殷士勇,鲍劲松:一种基于区块链技术的棉纺生产CPSM2M安全方法, 2019.7.23,专利号:CN107566342B.

          4. 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, 2016.3.2,专利号: CN 201310113138.8

          5. 鲍劲松:集成Modelica的三维视景仿真系统, 2013.8.28,专利号: CN 201110320681.6

          6. 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, 2012.7. 4,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)

          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)

          3.“纺织之光”奖教金(中国纺织工业联合会,2017)

          4.教学改革探索奖(东华大学,2019)


          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),国际期刊RCIM Guest Editor2020),AIEDM Guest Editor2020),JMSJIMJPMIJCIMIJPRIJAMTIEEE IOTIEEE 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


          演讲与特邀报告 | Speeches and invited reports

          1.第二届数字孪生全国学术会议,DT++2018,郑州

          2.AIAAT2018Applications and technologies on AI-assisted smart manufacturingShanghai

          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 2019Data Intelligence:Empowering DT++ ManufacturingXi'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 2019Industrial Intelligence for ManufacturingShanghai

          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


          教学 | Teaching

          1.本科生课程:2020《工程导论》、2016-2018《机器人导论》、20162018《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:2019《智能制造系统》、2016-2019《机械工程领域专业(行业)前沿进展》

          3.全英文课程:2015国际大师研究生课程《Advanced Engineering》,2019-2020Intelligent Manufacturing System


          欢迎博士后、智能制造领域学者(偏计算机方向)老师加盟!

            



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