Hao Li

Professor

ADDRESS：Mechanical and Electrical   Engineering Institute, Zhengzhou University of Light Industry

E-mail：lihao@zzuli.edu.cn

Research Field and Interests：

Product intelligent design method, digital twin, complex equipment intelligent operation and maintenance services

EducationBackground：

2009.09-2013.06 Zhejiang University Majored in Mechanical Engineering（PHD degree）

2003.09-2006.06  Guizhou University Majored in Mechanical Engineering（Master degree）

1999.09-2003.06 Zhengzhou University of Aeronautics Majored in Mechanical Engineering (Bachelor)

Teaching Courses:

Mechanical manufacturing equipment design, Interchangeability and Technology Measurement

Publications:

[1] Hao Li, Yangjian Ji, Liang Chen, et al. Bi-level coordinated configuration optimization for product-service system modular design [J]. IEEE Transactions on Systems, Man, and CyberneticsSystems, 2017, 47: 537-554.

[2] Hao Li, Yangjian, Ji, Xinjian Gu, et al. Module partition process model and method of integrated service product [J]. Computers in Industry, 2012, 63:298-308.

[3] Hao Li, Shanghua Mi，Qifeng Li,et al. A scheduling optimization method for maintenance, repair and operations service resources for complex products [J]. Journal of Intelligent Manufacturing, 2020, 31:1673-1691.

[4] Hao Li, Bing Li, Gen Liu, et al. A detection and configuration method for welding completeness in the automotive body-in-white panel based on digital twin [J].Scientific reports, 2022: 7929.

[5] Hao Li, Wenfeng Ma, Haoqi Wang. A framework and method for Human-Robot cooperative safe control based on digital twin [J]. Advanced Engineering Informatics, 2020, 53:101701.

[6]Li Hao, Wang Haoqi, Liu Gen, et al. Concept, system structure and operating mode of industrial digital twin system [J]. Computer Integrated Manufacturing Systems，2021, 27(12): 3373-3390.

[7]Li Hao, Liu Gen, Wang Haoqi, et al. Mechanical movement data acquisition method based on the multilayer neural networks and machine vision in a digital twin environment [J].Digital Twin, 2021:1-6

[8]Li Hao, Wang Haoqi, Cheng Ying, et al. Technology and Application of Data-driven Intelligent Services for Complex Products [J]. China Mechanical Engineering, 2020, 31(7):757-772.

[9]Li Hao,Tao Fei, Wang Haoqi, et al. Integration framework and key technology of complex product design-manufacturing based on digital twin

[10]Li Hao, Liu Gen, Wen Xiaoyu, et al. Industrial control system and key technologies of digital twin system oriented to human-machine interaction [J]. Computer Integrated Manufacturing Systems，2021, 27(2): 374-389.

[11] Patent for invention, An experimental digital twin modeling method for intelligent production line is presented, first, Patent No.: ZL201911406959.4, Date of Publication of Authorization: 2020.11.13.

[12] Patent for invention, Data acquisition method based on deep learning and multi-vision in digital twin environment; first, Patent No.: ZL201910623996.4, Date of Publication of Authorization: 2020.07.31.

[13] Patent for invention, A human-computer interactive security warning and control method based on digital twin; first, Patent No.: ZL202010362190.7, Date of Publication of Authorization: 2021.09.03.

[14] Patent for invention, A method for remote operation security verification of industrial Internet intelligent equipment; first, Patent No.: ZL201810513633.0, Date of Publication of Authorization: 2021.08.03.

[15] Patent for invention, Intelligent material completeness detection and configuration method based on digital twin and augmented reality (AR); first, Patent No.: US11455767B1, Date of Publication of Authorization: 2022.09.27.

[16] Li Hao, Modular design method of intelligent product service system, Tsinghua University Press, ISBN 978-7-302-54100-4, 2019.11

[17]Li Hao, Implementation Method of Enterprise Intelligent Manufacturing Service System, Zhejiang University Press, ISBN 978-7-308-19904-9, 2022.06

Projects：

Natural Science Foundation of China (52175256)

Honors:

[1] 1^st prize of Science and Technology Award of Machinery Industry in 2022.

[2] 1^st prize of Science and Technology Progress of Henan Province in 2019.

[3] 1^st prize of National Commercial Science and Technology Progress Award 2021.

Professional Affiliations:

Deputy Director and Secretary-General of the Digital Twin Professional Committee of the 8th Council of the Chinese Graphic Society, Standing Member of the Intelligent Manufacturing Committee of the Chinese Society for Artificial Intelligence, Member of the Academic Committee of the State Key Laboratory of Heavy Mining Equipment.

Academic Activities:

[1] The 1th Digital Twin and Intelligent Manufacturing Services Academic Conference, Beijing, 2017/7/25-26.

[2] The 2nd Digital Twin and Intelligent Manufacturing Services Academic Conference, Zhengzhou, 2018/7/21-22.

[3] The 5th National Modern Manufacturing Integration Technology Academic Conference, Shanghai, 2018/11/17-19.

[4] The 9t h International Conference on Innovation and Knowledge Management in Asia Pacific (IKMAP 2018), 2018/10/31-11/2.

[5] The 3rd Digital Twin and Intelligent Manufacturing Services Academic Conference, Guangzhou, 2019/7/27-28.

[6] The 4th Digital Twin and Intelligent Manufacturing Services Academic Conference, Xi’an, 2020/10/31-11/1.

[7] 2022 National Advanced Production System Theory and Application Seminar, Zhengzhou, 2022/12/3.

[8] 2023 China Mechanical Engineering Society Industrial Big Data and Intelligent System Branch Annual Conference, Zhengzhou, 2023/7/17-19.