工业4.0技术、实践与挑战的发展与进步：技术、做法和挑战

English | 2025 | ISBN: 1032823046 | 395 pages | True PDF EPUB | 38.98 MB

This book provides a comprehensive exploration of Industry 6.0, which marks the convergence of intelligent systems, machine learning (ML), deep learning, and human–robot collaboration (HRC) in various sectors. It focuses on how these technologies enable businesses to harness insights from vast datasets, optimize operations, forecast maintenance requirements, and mitigate outages. In this comprehensive book, the authors cover the major aspects of Industry 6.0, including the latest advances in technology, new applications, and the many challenges that accompany the process that is changing it. This book acts as a compass, guiding readers through the labyrinth of Industry 6.0, revealing the complex interactions between technologies, new applications, innovations, and business ecosystems. From a multidisciplinary perspective, the book explores the far‑reaching impact of Industry 6.0 on the business world, revealing its potential to increase productivity, improve decision‑making, and open new opportunities for development.

Discusses the transformative impact of Industry 6.0 driven by the convergence of artificial intelligence (AI), ML, and the industrial internet of things (IIoT) in manufacturing

Explores the transformative potential of HRC in modern manufacturing, emphasizing the ability of HRC to boost productivity, flexibility, and safety

Compares several service models in cloud computing, with a focus on private, public, and community cloud deployment methods

Presents information about autism spectrum disorder (ASD) in children and the advanced technology of convolutional neural networks used to detect autism in children

Describes the accurate diagnosis of Alzheimer’s disease through integrating state‑of‑the‑art technologies, especially deep learning

Focuses on digital adaptation in India’s agricultural sector, especially Uttar Pradesh, highlighting challenges and prospects

Presents a visionary leap into Agriculture 6.0, where technology and tradition converge for sustainable farming solutions

Provides the mitigation strategies for climate change over multiple locations

Explores the transformative impact of recent computational intelligence advancements in vehicle surveillance and recognition, particularly through CCTV analysis

Focuses on the exploration and development of a supply chain network design (SCND) model of milk products

This book will be of interest to researchers, academics, practitioners, technology providers, undergraduate and postgraduate students, scholars, consultants, advisors, and doctors. It can be used by undergraduate and postgraduate students pursuing Industry 6.0 programs in computer science and engineering across the globe.

这本书全面探讨了Industry 6.0，它标志着智能系统、机器学习（ML）、深度学习以及人机协作（HRC）在各个领域的融合。本书关注这些技术如何帮助企业利用大量数据集获取洞察力，优化运营，预测维护需求，并减少故障停机时间。在这本综合性的书籍中，作者涵盖了Industry 6.0的主要方面，包括最新的科技进展、新的应用以及伴随变革过程而来的诸多挑战。这本书像是一把指南针，带领读者穿越Industry 6.0的迷宫，揭示技术、新应用、创新和商业生态系统之间复杂的关系。从多学科的角度来看，这本书探讨了Industry 6.0对商业世界的影响，并揭示其潜力可以提高生产力、改善决策能力，并为发展创造新的机会。 讨论由人工智能（AI）、ML 和工业互联网（IIoT）在制造业中的融合所驱动的Industry 6.0的变革性影响 探索现代制造业中HRC的变革潜能，重点强调HRC如何提升生产率、灵活性和安全性 比较了几种云计算服务模型，尤其是私有云、公有云和社区云部署方法 介绍了儿童自闭症谱系障碍（ASD）的信息，并着重讨论了利用卷积神经网络检测儿童自闭症的先进科技 描述了通过整合最先进的技术特别是深度学习来准确诊断阿尔茨海默病的方法 重点关注印度农业部门中的数字化转型，尤其是古吉拉特邦面临的挑战与前景 提出农业6.0愿景，在技术和传统之间实现可持续农业解决方案的融合 提供了应对气候变化的多地点缓解策略 探索了最近计算智能领域在车辆监视和识别方面的进步，特别是通过闭路电视分析所带来的变革性影响 专注于乳制品供应链网络设计（SCND）模型的探索与发展 这本书对研究人员、学者、从业者、科技提供者、本科及研究生学生、学者、顾问、咨询师以及医生都有吸引力。它在全球范围内的计算机科学与工程专业的Industry 6.0项目中可供本科生和研究生使用。

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