Digital Twin-Driven Manufacturing System: Key Technologies and Opportunities
暫譯: 數位雙胞胎驅動的製造系統：關鍵技術與機會

Liu, Shimin, Zheng, Pai, Bao, Jinsong

Digital Twin-Driven Manufacturing System: Key Technologies and Opportunities
  • 出版商: Springer
  • 出版日期: 2026-07-14
  • 售價: $8,340
  • 貴賓價: 9.5 折 $7,923
  • 語言: 英文
  • 頁數: 307
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 9819582350
  • ISBN-13: 9789819582358

    • 海外代購書籍(需單獨結帳)

商品描述

This book provides a comprehensive and systematic framework for digital twin-driven manufacturing systems in the era of Industry 5.0. As the demand for human-centric, resilient, and sustainable manufacturing continues to grow, Digital Twin technology is emerging as a key enabler of end-to-end digitalization across the entire product manufacturing lifecycle. Yet, despite its potential, industrial adoption still faces significant challenges, including fragmented data, limited interoperability, insufficient real-time optimization, and concerns surrounding data security.

To address these gaps, the book clarifies core concepts and defining characteristics of digital twin-driven systems, introduces essential enabling technologies, and presents practical methodologies for system design and implementation. It also explores advanced and emerging topics such as cross-X manufacturing and biotwins, while discussing future opportunities shaped by the Industry 5.0 paradigm. By integrating recent research outcomes with real-world case studies, the book serves as both a rigorous academic reference and a practical guide for researchers, engineers, and industry professionals.

商品描述(中文翻譯)

本書提供一個全面且系統化的框架，針對在工業5.0時代的數位雙胞胎驅動製造系統。隨著對以人為中心、具韌性和可持續的製造需求不斷增長，數位雙胞胎技術正逐漸成為整個產品製造生命周期中端到端數位化的關鍵推動力。然而，儘管其潛力巨大，工業採用仍面臨重大挑戰，包括數據碎片化、互操作性有限、即時優化不足以及數據安全的顧慮。 為了解決這些問題，本書闡明了數位雙胞胎驅動系統的核心概念和定義特徵，介紹了必要的啟用技術，並提出了系統設計和實施的實用方法論。它還探討了跨領域製造和生物雙胞胎等先進和新興主題，同時討論了由工業5.0範式塑造的未來機會。通過整合近期的研究成果與實際案例研究，本書既是嚴謹的學術參考資料，也是研究人員、工程師和業界專業人士的實用指南。

作者簡介

Dr. Liu Shimin is presently serving as a Postdoctoral Fellow at the Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University. His research portfolio is diverse, encompassing areas such as digital twin-driven machining processes, bionic digital manufacturing, and intelligent manufacturing. Since 2019, Dr. Liu has dedicated himself to the exploration of theories, technologies, and applications related to digital twins in the processing field, thereby amassing substantial theoretical knowledge and practical experience. Throughout his academic career, Dr. Liu has been an active participant in several significant projects. These include the Ministry of Industry and Information Technology's Intelligent Manufacturing Project, initiatives sponsored by the Shanghai Municipal Science and Technology Commission.

Prof. Bao Jinsong is the Director of the Institute of Intelligent Manufacturing at Donghua University and a PhD supervisor. He has led several research initiatives, including two National Natural Science Foundation of China projects, one sub-project under the Ministry of Science and Technology's support plan, two special manufacturing projects by the Shanghai Municipal Science and Technology Commission, one aerospace-specific project, one Shanghai Aerospace Fund project, two integration projects of informatization and industrialization supported by the Shanghai Economic and Information Commission, and one key laboratory fund project from Shanghai Jiao Tong University. Additionally, Prof. Bao has been responsible for over 20 corporate scientific research projects. He participated in the China Lunar Rover project, focusing on the development of a mobile subsystem simulation platform, with many results applied in aerospace and shipbuilding enterprises. As the principal investigator, he has also managed one project under the National Natural Science Foundation, one major project from the National Development and Reform Commission, and the Ministry of Industry and Information Technology's 2015 intelligent manufacturing standardization project.

Dr. Zheng Pai is currently a tenured Associate Professor at the Hong Kong Polytechnic University, where he will officially start on July 1, 2024. He also serves as a PhD supervisor and holds the title of Huang Tiecheng Young Scholar in Intelligent Robotics. Dr. Zheng earned his doctoral degree in a field closely related to intelligent manufacturing and robotics. As the Director of the "Hong Kong Polytechnic University-Rheinkost" Intelligent Manufacturing Joint Laboratory and the leader of the Research in AI and Digital Service for Industrial Systems (RAIDS) team, he is deeply involved in pioneering research. His main research interests include industrial artificial intelligence, human-robot collaborative manufacturing systems, and intelligent product-service systems.

作者簡介(中文翻譯)

劉世敏博士目前擔任香港理工大學工業與系統工程系的博士後研究員。他的研究領域多樣，涵蓋數位雙胞胎驅動的加工過程、生物仿真數位製造及智能製造等領域。自2019年以來，劉博士專注於數位雙胞胎在加工領域的理論、技術及應用的探索，積累了豐富的理論知識和實踐經驗。在他的學術生涯中，劉博士積極參與多個重要項目，包括工業和信息化部的智能製造項目，以及由上海市科學技術委員會贊助的計畫。

包金松教授是東華大學智能製造研究所的所長及博士生導師。他主導了多個研究計畫，包括兩個國家自然科學基金項目、一個科技部支持計畫下的子項目、兩個上海市科學技術委員會的特別製造項目、一個航空航天專項項目、一個上海航天基金項目、兩個由上海經濟和信息化委員會支持的信息化與工業化融合項目，以及一個來自上海交通大學的重點實驗室基金項目。此外，包教授還負責超過20個企業科學研究項目。他參與了中國月球探測器項目，專注於移動子系統模擬平台的開發，並將許多成果應用於航空航天和造船企業。作為主要研究者，他還管理了一個國家自然科學基金項目、一個來自國家發展和改革委員會的重大項目，以及工業和信息化部2015年的智能製造標準化項目。

鄭派博士目前是香港理工大學的終身副教授，將於2024年7月1日正式上任。他同時擔任博士生導師，並擁有黃鐵城智能機器人青年學者的稱號。鄭博士在與智能製造和機器人密切相關的領域獲得博士學位。作為「香港理工大學-瑞恩科斯特」智能製造聯合實驗室的主任及工業系統人工智慧與數位服務研究（RAIDS）團隊的負責人，他深度參與前沿研究。他的主要研究興趣包括工業人工智慧、人機協作製造系統及智能產品服務系統。

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