Computational Intelligence for Analysis of Trends in Industry 4.0 and 5.0
暫譯: Industry 4.0 與 5.0 趨勢分析的計算智慧
Awotunde, Joseph Bamidele, Muduli, Kamalakanta, Brahma, Biswajit
- 出版商: Auerbach Publication
- 出版日期: 2026-10-16
- 售價: $2,730
- 貴賓價: 9.5 折 $2,593
- 語言: 英文
- 頁數: 462
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1032875135
- ISBN-13: 9781032875132
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相關分類:
Machine Learning、物聯網 IoT、控制系統 Control-systems
尚未上市,無法訂購
相關主題
商品描述
Industry 4.0 and Industry 5.0 applications will revolutionize production, enabling smart manufacturing machines to interact with their environments. These machines will become self-aware, self-learning, and capable of real-time data interpretation for self-diagnosis and prevention of production issues. They will also self-calibrate and prioritize tasks to enhance production quality and efficiency.
Computational Intelligence for Analysis of Trends in Industry 4.0 and 5.0 examines the trends in applications that merge three key disciplines: Computational Intelligence (CI), Industry 4.0, and Industry 5.0. It presents solutions using industrial Internet of Things (IIoT) technologies, augmented by CI-based techniques, modeling, controls, estimations, applications, systems, and future scopes. These applications use data from smart sensors, processed through enhanced CI methods, to make smart automation more effective.
Industry 4.0 integrates data and intelligent automation into manufacturing, using technologies like CI, Internet of Things (IoT), IIoT, and cloud computing. It transforms data into actionable insights for decision-making and process optimization, essential for modern competitive businesses managing high-speed data integration in production processes. Currently, Industry 4.0 and Industry 5.0 are undergoing significant transformations due to advances in applying artificial intelligence (AI), big data analytics, telecommunication technologies, and control theory. These trends are increasingly multidisciplinary, integrating mechanical, control, and information technologies. However, they face technical challenges such as parametric uncertainties, external disturbances, sensor noise, and mechanical failures. To address these issues, this book examines trends such as CI technologies as fuzzy logic, neural networks, and reinforcement learning and their application to modeling, control, and estimation. It also covers recent advancements in IIoT sensors, microcontrollers, and big data analytics that further enhance CI-based solutions in Industry 4.0 and Industry 5.0 systems.
商品描述(中文翻譯)
Industry 4.0 與 Industry 5.0 的應用將徹底改變生產模式,讓智慧製造機器能夠與周遭環境互動。這些機器將具備自我感知與自我學習能力,並能即時解讀資料,以進行自我診斷及預防生產問題。此外,它們還能自行校正並排定任務優先順序,進而提升生產品質與效率。
《Computational Intelligence for Analysis of Trends in Industry 4.0 and 5.0》探討結合三大關鍵領域的應用趨勢:計算智慧(Computational Intelligence,CI)、Industry 4.0 與 Industry 5.0。本書提出運用工業物聯網(industrial Internet of Things,IIoT)技術的解決方案,並結合以 CI 為基礎的技術、建模、控制、估測、應用、系統與未來發展方向。這些應用會使用智慧感測器所收集的資料,再透過強化的 CI 方法進行處理,使智慧自動化更加有效。
Industry 4.0 將資料與智慧自動化整合至製造流程中,採用 CI、物聯網(Internet of Things,IoT)、IIoT 與雲端運算等技術。它能將資料轉化為可供決策與流程最佳化使用的洞察,對於必須在生產流程中管理高速資料整合的現代競爭型企業而言至關重要。目前,由於人工智慧(artificial intelligence,AI)、大數據分析、電信技術與控制理論等應用不斷進步,Industry 4.0 與 Industry 5.0 正經歷重大轉型。這些趨勢日益具備跨領域特性,整合機械、控制與資訊技術。然而,它們也面臨參數不確定性、外部擾動、感測器雜訊與機械故障等技術挑戰。為了解決這些問題,本書探討模糊邏輯、神經網路與強化學習等 CI 技術的發展趨勢,以及它們在建模、控制與估測上的應用。本書也涵蓋 IIoT 感測器、微控制器與大數據分析的最新進展,說明這些技術如何進一步強化 Industry 4.0 與 Industry 5.0 系統中的 CI 解決方案。
作者簡介
Joseph Bamidele Awotunde is a Lecturer II at the Computer Science Department, University of Ilorin, Ilorin, Nigeria. He is the author of more than 40 articles, 30 chapters in books, and more than 25 conference proceedings.
Kamalakanta Muduli is an Associate Professor in Papua New Guinea University of Technology.
Biswajit Brahma is a Senior Data Engineer at McKesson, USA.
作者簡介(中文翻譯)
Joseph Bamidele Awotunde 是奈及利亞伊洛林伊洛林大學(University of Ilorin)電腦科學系的二級講師。他著有 40 多篇文章、30 篇書籍章節,以及超過 25 篇會議論文。
Kamalakanta Muduli 是巴布亞紐幾內亞科技大學(Papua New Guinea University of Technology)的副教授。
Biswajit Brahma 是美國 McKesson 的資深資料工程師。