In December 2020, the project “Design Theory and Method of Collaborative Data Space for Manufacturing Multi-Value Chain,” which was participated by ZJUI Prof. WANG Hongwei, was funded by the National Key Technology Research and Development Program of China of 2020 "Network Collaborative Manufacturing and Smart Factory.” The project was one of the frontiers of fundamentals and key technologies programs, and these programs were very difficult to apply for. The project team consisted of North China Electric Power University, Zhejiang University, Tsinghua University, Northeast Electric Power University and Beijing Qingchang Electric Power Technology Co., Ltd. The team of Prof. Wang worked on “Technology and Method of Collaborative Knowledge Service Engine for Multi-Value Chain.” The research was based on Knowledge Linkage, Knowledge Graph, Deep Learning, Transfer Learning and Natural Language Processing, etc. The research systematically explored and designed basic theory and core method of knowledge service engine of corroborative data space for multi-value chain, intelligence knowledge mining and dynamic knowledge service, etc. Therefore, the research provided core technical support for the construction of collaborative knowledge service engine for multi-value chain.
The project focuses on the core and key technologies of the transformation and upgrading of China's intelligent manufacturing industry, promotes the engineering application verification of electronic equipment manufacturing enterprises, and applies them to manufacturing enterprises in other industries. The project also aims to address some of the problems facing the manufacturing industry, such as data redundancy, idle digital resource, poor comprehensive benefits, etc. This project will use advanced theories and methods to support collaborative data for manufacturing multi-value chain, use knowledge to support and improve the level of intelligent management in manufacturing enterprises, competitiveness and benefits. It is hoped to produce significant theoretical and applied achievements, and lead the frontier development. At the same time, the project will implement the green manufacturing theory through the life cycle management of collaborative data for multi-value chain, with dynamic, efficient and accurate data sharing and integration, to shorten the supply chain and reduce carbon emissions, so that the project results can yield significant ecological benefits.
Prof. WANG Hongwei is an Associate Professor and Principal Investigator at ZJUI. His main research interests are in the application of artificial intelligence, information and computing methods to the design, analysis, manufacturing and maintenance of complex engineering systems. His previous and current research has been specifically focused on multi-scale modeling and simulation for large-scale systems, knowledge capture and retrieval for complex products, intelligent maintenance of energy systems, and knowledge graph generation and retrieval for complex decision-making. His research outcomes have helped solve problems in the aerospace, automobile and energy sectors. He has more than 10 high-impact papers published in top journals such as IEEE Trans. on Services Computing, Neurocomputing, and Advanced Engineering Informatics. Since 2020, he has been awarded a number of scientific research grants and awards, such as the Space Key Laboratory Fund, ZJU-UIUC Joint Research Projects, and Wu Wenjun Artificial Intelligence Science and Technology Award. The "knowledge-driven intelligent design, manufacturing, operation and maintenance" team led by Dr. Wang takes Zhejiang University and International Campus Zhejiang University as the platform, establishes deep cooperation with universities at home and abroad such as Cambridge University, UIUC, and Tsinghua University, and strives to build a new generation of artificial intelligence technology driven by "Internet + advanced manufacturing." Prof. Wang has supervised over 30 MSc/PhD students to successful completion, and his students have won the Best Paper Award of the 16th IEEE ICEBE International Conference, the MCM/ICM Contest and other international awards. One of his students Yangkai Du was nominated for the "Qizheng Cup" by Zhejiang University.
