Design and Case of Intelligent Electromechanical Equipment System

This book focuses on intelligent equipment system including principles and engineering practice. Based on the introduction of the concept and development trend of intelligent equipment, the book focuses on the design method of intelligent equipment mechanical ontology and the concept of digital design, the design of intelligent equipment driving system, the development trend of intelligent equipment sensing system and intelligent sensing technology, the design of intelligent equipment control system, and the design and development process of intelligent Internet of Things system. The distinctive feature is that cases such as the hollow glass forming process and the design and development process of high-performance motion control equipment system have been added to the book according to the author's research experience. It is rich in content and informative and can be used by equipment design and control system R&D personnel, as well as teachers and students of relevant majors in colleges and universities.

Dr. Minggang Xu, born in 1979, is Associate Professor at the School of Mechanical and Materials Engineering, North China University of Technology. His main research fields include compound special processing technology, automatic measurement and control technology and non-traditional numerical control electromechanical equipment.

Dr. Xueke Luo, born in 1966, is Professor at Beijing Institute of Petrochemical Technology. His main research fields include advanced machining technology and non-traditional numerical control electromechanical equipment.

Dr. Congpeng Zhang, born in 1975, is Professor at the School of Mechanical and Materials Engineering, North China University of Technology. His main research fields include automatic measurement and control technology and non-traditional numerical control electromechanical equipment.

Dr. Wen Li, born in 1975, is associate Professor at the School of Mechanical and Materials Engineering, North China University of Technology. His main research fields include automatic measurement and control technology.