English 
朱海华

副教授 硕士生导师

招生学科专业:
机械工程 -- 【招收硕士研究生】 -- 机电学院
机械 -- 【招收硕士研究生】 -- 机电学院

性别:男

毕业院校:南京理工大学

学历:南京理工大学

学位:工学博士学位

所在单位:机电学院

办公地点:明故宫机电学院17号楼421室

联系方式:Tel:15601594900 Email:h.zhu@nuaa.edu.cn

电子邮箱:

手机版

访问量:

最后更新时间:..

个人简介

个人简介:

朱海华,工学博士,南京航空航天大学机电学院副教授,2008年本科毕业于南京理工大学机械工程学院,200910月至20119月前往英国格林威治大学访学,20137月在南京理工大学机械制造及其自动化系获得博士学位。20137月进入南京航空航天大学机电学院任教。

学术成果:

(1) Haihua Zhu, James Gao, Dongbo Li, Dunbing Tang. A Web-based product service system for aerospace maintenance, repair and overhaul services. Computers in Industry, 63(5), pp. 338-348, 2012. (SCI)

(2) Haihua Zhu, James Gao, Qixiang Cai, A Product-service system using requirement analysis and knowledge management, Kybernetes, 44(5), pp. 823-842, 2015. (SCI)

(3) Haihua Zhu, Jun Yang, Weihua Lu, Jing Li, Research on preference polyhedron model based evolutionary multi-objective optimization method for multi-link transmission mechanism conceptual design, Mathematical Problems in Engineering, pp. 1-13, 2016. (SCI)

(4) Haihua Zhu, Jing Li, James Gao, Weihua Lu, Research on integrated product service system driven by customer value based on ontology technology, Kybernetes, 46(6), pp. 1039-1051, 2017. (SCI)

(5) Haihua Zhu, Yingcong Wang, Ming Chen, Research on mechanism of real-time MAS based dynamic intelligent manufacturing systems, Mechanika, 24(1), pp. 121-127, 2018. (SCI)

(6) Haihua Zhu, Jing Li, Research on three-dimensional digital process planning based on MBD, Kybernetes, 47(4), pp. 816-830, 2018. (SCI)

(7) Haihua Zhu, Ming Chen, Zequn Zhang, Dunbing Tang, An adaptive real-time scheduling method for flexible job shop scheduling problem with combined processing constraint, IEEE Access, 7, pp. 125113-125121, 2019. (SCI)

(8) Qixiang Cai, Dunbing Tang, Haihua Zhu*, Tengxiao Huang, System state assessment of a grey immune mechanism-based organic manufacturing system, Journal of Grey System, 28(1), pp. 173-179, 2016. (SCI)

(9) Jun Yang, Haihua Zhu*, Yingcong Wang, An Orthogonal multi-swarm cooperative PSO algorithm with a particle trajectory knowledge base, Symmetry, 9(1), pp. 15-33, 2017. (SCI)

(10) Qixiang Cai, Dunbing Tang, Haihua Zhu*, Jianhua Zhou. Research on key technologies for immune monitoring of intelligent manufacturing system, International Journal of Advanced Manufacturing Technology, 94(5-8), pp. 1607-1621, 2018. (SCI)

(11) Yi Zhang, Haihua Zhu*, Dunbing Tang, An improved hybrid particle swarm optimization for multi-objective flexible job-shop scheduling problem, Kybernetes, 2020,49(12): 2873-2892. (SCI)

(12) Shipei Li, Dunbing Tang, Jun Yang, Qi Wang, Inayat Ullah, Haihua Zhu, A novel approach for capturing and evaluating dynamic consumer requirements in open design, Advanced Engineering Informatics, 39, pp. 95-111, 2018. (SCI)

(13) Weihua Lu, Jean-Francois Petiot, Kun-pyo Lee, Haihua Zhu, Validating an emerging tool based on auditory scale for decoding users' emotional desires, Journal of Mechanical Science and Technology, 32(9), pp. 4245-4254. (SCI)

(14) Qi Wang, Dunbing Tang, Shipei Li, Jun Yang, Miguel A. Salido, Adriana Giret, Haihua Zhu, An Optimization Approach for the Coordinated Low-Carbon Design of Product Family and Remanufactured Products, Sustainability, 11(2), 2019. (SCI)

(15) Zequn Zhang, Dunbing Tang, Haihua Zhu, et al. A practical approach for multiagent manufacturing system based on agent computing nodes[J], Proceedings of the institution of mechanical engineers part c-journal of mechanical engineering science,2020. (SCI)

(16) Jun Yang, Dunbing Tang, Shipei Li, Haihua Zhu. An improved iterative stochastic multi-objective acceptability analysis method for robust alternative selection in new product development[J]. Advanced engineering informatics, 43(Jan.):101038.1-101038.14, 2020. (SCI)

(17) Tong Zhou, Dunbing Tang, Haihua Zhu, Liping Wang. Reinforcement Learning With Composite Rewards for Production Scheduling in a Smart Factory[J], IEEE ACCESS,2021, 9:752-766. (SCI)

(18) Changchun Liu, Dunbing Tang, Haihua Zhu, Qingwei Nie. A Novel Predictive Maintenance Method Based on Deep Adversarial Learning in the Intelligent Manufacturing System[J], IEEE ACCESS,2021, 9: 49557-49575. (SCI)

(19) Tong Zhou, Dunbing Tang, Haihua Zhu, Zequn Zhang. Multi-agent reinforcement learning for online scheduling in smart factories[J], Robotics and Computer-Integrated Manufacturing, 2021, 72: 102202. (SCI)

(20) Yi Zhang, Dunbing Tang, Haihua Zhu, Shipei Li, Qinwei Nie. A flexible configuration method of distributed manufacturing resources in the context of social manufacturing[J], Computers in Industry, 2021, 132:103511. (SCI)

(21) Nie Qingwei, Tang Dunbing, Zhu Haihua, Sun Hongwei. A multi-agent and internet of things framework of digital twin for optimized manufacturing control[J], International Journal of Computer Integrated Manufacturing,2021. (SCI)

(22) Zhou Tong, Zhu Haihua, Tang Dunbing, Liu Changchun), Cai Qixiang, Shi Wei, Gui Yong. Reinforcement learning for online optimization of job-shop scheduling in a smart manufacturing factory[J], Advances in Mechanical Engineering, 2022, 14(3), 1-9. (SCI)

(23) Liu Changchun, Zhu Haihua, Tang Dunbing, Nie Qingwei, Li Shipei, Zhang Yi, Liu Xuan. A transfer learning CNN-LSTM network-based production progress prediction approach in IIoT-enabled manufacturing[J], International Journal of Production Research, 2022. (SCI)

(24) Changchun Liu, Haihua Zhu, Dunbing Tang, Qingwei Nie, Tong Zhou, LipingWang, Yejia Song. Probing an intelligent predictive maintenance approach with deep learning and augmented reality for machine tools in IoT-enabled manufacturing[J], Robotics and Computer-Integrated Manufacturing, 2022, 77: 102357. (SCI)

(25) Yi Zhang, Haihua Zhu, Dunbing Tang, Tong Zhou, Yong Gui. Dynamic job shop scheduling based on deep reinforcement learning for multi-agent manufacturing systems[J], Robotics and Computer-Integrated Manufacturing, 2022, 78: 102412. (SCI)

(26) Haihua Zhu, Jing Li, Yingcong Wang, Knowledge representation and sematic inference of process based on ontology and semantic web rule language, Transactions of Nanjing University of Aeronautics and Astronautics, 34(1), pp. 72-80, 2017. (EI)

(27) 朱海华, 朱柏青, 李东波, 基于本体的产品服务知识表示方法的研究, 中国机械工程, 24(18), pp. 2484-2489, 2013. (EI)

(28) 陈鸣, 朱海华*, 张泽群, 金永乔, 王盈聪, 唐敦兵. 基于信息素的多Agent车间调度策略. 中国机械工程, 29(22):17-23,2018. (EI)

(29) 谈莉斌,唐敦兵,朱海华.用户参与产品设计过程动态特性研究[J].农业机械学报,2020,51(05):404-410. (EI)

(30) Haihua Zhu, Yi Zhang, Hongwei Sun, Liangchuang Liao, Dunbing Tang. An Improved Genetic Algorithm for Solving the Mixed-Flow Job-Shop Scheduling Problem with Combined Processing Constraints[J]. Transactions of Nanjing University of Aeronautics & Astronautics,2021,38(3):415-426. (EI)


承担科研项目:

(1) 国家青年科学基金,面向用户参与的互联开放式设计模式及方法研究, 2019.1-2021.12。

(2) 国家自然科学基金面上项目,面向自组织物联制造的复合智能体及其使能技术研究,2021.1-2024.12。

(3) 国家自然科学基金航天先进制造技术研究联合基金重点项目,面向智慧工厂的防空导弹结构件混线生产实时优化协同管理,2017.1-2020.12。

(4) 国家重点研发计划“政府间国际科技创新合作”重点专项,基于敏捷流程管理的自适应模块化生产系统,2020.4-2023.3。

(5) 国家重点研发计划“网络化协同制造和智能工厂”重点专项,面向云定制的分布式智能产线协同管控集成技术,2020.11-2023.10。

(6) 国家重点研发计划“网络化协同制造和智能工厂”重点专项定向项目,先进固体动力****数字化生产线协同管控技术研究,2021.12-2024.11。

(7) 国防基础科研项目,面向**产品精准配送的智能感知网络构建技术,2019.1-2020.12。

(8) 工信部高技术船舶科研计划项目,船舶总装建造成套装备项目,2020.1-2023.12。

(9) 国家重点实验室开放研究基金课题,面向三维可视化制造过程的数字孪生车间构建技术, 2022.1-2022.12。

(10) 江苏省成果转化项目, 动力锂电池智能化生产物流集成系统关键技术研究, 2018.2-2021.3。

(11) 江苏省重点研发计划产业前瞻与关键核心技术竞争项目,基于复合智能体的自组织智能制造系统使能技术研发,2021.7-2024.6。

(12) 国家电网科技项目,江苏省电力物资检测业务云智慧管控平台“物资域-质量监督-资源管理模块”建设项目,2021.7-2022.6。

(13) 国家电网科技项目,电力设备质量检测业务可信管理及全景管控场景建设研究服务,2021.1-2022.12。

(14) 国家电网科技项目,电网物资质量A级检测基地数字孪生系统,2021.1-2022.5。

(15) 重点实验室基本科研业务自主项目,基于数字孪生的物联开放车间混线生产过程实时优化与协同管控研究,2019.1-2021.12。

(16) 潍柴动力股份有限公司项目,一号工厂数字孪生试点项目,2021.6-2022.6。


承担教学项目:

(1)   教育部产学合作协同育人项目,互联网+时代下面向多层次人才体系的信息化制造教学模式探索与实践,2017.6-2020.6。

(2)   校学科拓展课程建设,信息化制造技术,2015.3-2016.3。

(3)   校精品虚拟仿真实验教学项目,面向个性化定制的智能制造混线生产系统虚拟仿真,2019.5-2020.5。

(4)   校本科教育教学改革“项目式课程”建设项目,智能制造系统综合实验,2021.7-2023.6。

(5)   校本科教育教学改革新专业内涵建设,智能制造工程,2021.7-2023.6。



教育经历

2001.9 - 2004.6 浙江省镇海中学   普通高中毕业   无学位

2009.9 - 2011.9 University of Greenwich   机械工程

2008.9 - 2013.7 南京理工大学   机械制造及自动化   博士研究生毕业   工学博士学位

2004.9 - 2008.6 南京理工大学   机械工程及自动化   大学本科毕业   工学学士学位

工作经历

2013.7 - 至今 南京航空航天大学

社会兼职

中机生产工程学会生产系统专业委员会委员兼秘书

研究方向

智能制造系统、数据孪生、工业物联网技术、知识管理

版权所有©2018- 南京航空航天大学·信息化处(信息化技术中心)