Industrial Intelligence: Methods and Applications
暫譯: 工業智慧：方法與應用
Liu, Tianyuan, Bao, Jinsong, Zheng, Yu
- 出版商: Springer
- 出版日期: 2025-02-04
- 售價: $9,020
- 貴賓價: 9.5 折 $8,569
- 語言: 英文
- 頁數: 491
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 3031814762
- ISBN-13: 9783031814761
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相關主題
商品描述
This book explains the AI algorithms, techniques, and application methods used in manufacturing, and how they contribute to the advancement of industrial intelligence.
Industrial artificial intelligence (IAI) is rapidly evolving alongside the development of smart manufacturing, which cannot be achieved without intelligence at its core. IAI enables intelligent and resilient manufacturing systems, making them fault-tolerant, on-demand, and self-organizing. It also provides on-demand manufacturing services to end users by optimally coordinating distributed manufacturing resources, augmented by AI methodologies.
This book will be of interest to researchers and professionals in the manufacturing industry.
商品描述(中文翻譯)
本書解釋了在製造業中使用的人工智慧（AI）演算法、技術和應用方法，以及它們如何促進工業智慧的進步。
工業人工智慧（IAI）正隨著智慧製造的發展迅速演變，而智慧製造的核心必須具備智能。IAI 使得製造系統變得智能且具韌性，讓它們具備容錯能力、按需生產和自我組織的特性。它還通過最佳協調分散的製造資源，提供按需的製造服務給最終用戶，並輔以 AI 方法論。
本書將吸引製造業的研究人員和專業人士。
作者簡介
Tianyuan Liu received his doctorate degree in engineering from Donghua University in 2021. He then went to The Hong Kong Polytechnic University for two years of postdoctoral research. He is currently an associate professor and master's supervisor of Donghua University. His research interests include industrial artificial intelligence, computational vision, deep learning, welding automation, and digital twins. He presided over three scientific research projects, including the National Natural Science Foundation of China. He has published more than 40 SCI/EI papers and 2 monographs. In addition, he served as associate editor and editorial board member of more than 10 SCI/ core journals in the field of intelligent manufacturing.
Jinsong Bao received his PhD degree in engineering from Shanghai Jiao Tong University in 2002. He is currently a professor, doctoral supervisor and director of Intelligent Manufacturing Research Institute of Donghua University. His main research interests include intelligent manufacturing, digital twin systems, virtual reality/human-computer interaction technology, intelligent measurement and control and robotics, big data/industrial cloud/information visualization technology for engineering fields. He presided over three National Natural Science Foundation of China projects, one key research and development plan of the Ministry of Science and Technology, and more than 10 other provincial and ministerial projects, in addition to undertaking more than 20 enterprise research projects. He has published more than 160 SCI/EI papers, more than 10 authorized invention patents, 8 software copyrights, and 5 monographs.
Yu Zheng received the B.Eng. degree in 2000, M.Eng. degree in 2007, and Ph.D. degree in 2015 from Shanghai Jiao Tong University, Shanghai, China. She is a Professor with the Institute of Intelligent Manufacturing and Information Engineering, Shanghai Jiao Tong University, where she focuses on intelligent manufacturing systems, digital twin, data mining and knowledge-based engineering. She has led and participated in many research projects funded by National Natural Science Foundation of China (NSFC), Ministry of Science and Technology (MOST), and Shanghai government. Her research contributions were recognized with the Third Prize of Shanghai Science and Technology Progress Award in 2013. She has published over 80 papers and 2 monographs. She serves as the deputy director of the editorial board of Ship Engineering.
Yuqian Lu received his B.Eng. degree in mechatronics engineering from Dalian University of Technology in 2012 and his Ph.D. degree in mechatronics engineering from The University of Auckland in 2016. He is a Senior Lecturer in the Department of Mechanical and Mechatronics Engineering at The University of Auckland, New Zealand, where he leads the Industrial Artificial Intelligence Research Group. His research focuses on manufacturing systems, industrial artificial intelligence, and human-robot interaction. He is on the board of several international scientific committees, journals, and conferences.
作者簡介(中文翻譯)
Tianyuan Liu於2021年獲得東華大學的工程博士學位。隨後，他在香港理工大學進行了兩年的博士後研究。目前，他是東華大學的副教授及碩士生導師。他的研究興趣包括工業人工智慧、計算機視覺、深度學習、焊接自動化和數位雙胞胎。他主持了三個科學研究項目，包括中國國家自然科學基金。他已發表超過40篇SCI/EI論文和2本專著。此外，他還擔任超過10本智能製造領域的SCI/核心期刊的副編輯和編輯委員會成員。
Jinsong Bao於2002年獲得上海交通大學的工程博士學位。目前，他是東華大學的教授、博士生導師及智能製造研究所所長。他的主要研究興趣包括智能製造、數位雙胞胎系統、虛擬現實/人機互動技術、智能測量與控制、機器人技術，以及工程領域的大數據/工業雲/資訊視覺化技術。他主持了三個中國國家自然科學基金項目、一個科技部的重點研究與發展計畫，以及超過10個其他省部級項目，並承擔了超過20個企業研究項目。他已發表超過160篇SCI/EI論文，擁有超過10項授權發明專利、8項軟體著作權和5本專著。
Yu Zheng於2000年獲得工程學士學位，2007年獲得工程碩士學位，2015年獲得上海交通大學的博士學位。她是上海交通大學智能製造與資訊工程研究所的教授，專注於智能製造系統、數位雙胞胎、資料挖掘和基於知識的工程。她主導和參與了多個由中國國家自然科學基金（NSFC）、科技部（MOST）和上海市政府資助的研究項目。她的研究貢獻於2013年獲得上海市科技進步獎三等獎。她已發表超過80篇論文和2本專著，並擔任《船舶工程》編輯委員會的副主任。
Yuqian Lu於2012年獲得大連理工大學的機電一體化工程學士學位，2016年獲得奧克蘭大學的機電一體化工程博士學位。他是新西蘭奧克蘭大學機械與機電一體化工程系的高級講師，負責工業人工智慧研究小組。他的研究專注於製造系統、工業人工智慧和人機互動。他是多個國際科學委員會、期刊和會議的委員會成員。
