The Nine Pillars of Technologies for Industry 4.0

This edited book focuses on the nine pillars of technology supporting the transition to Industry 4.0 and smart manufacturing, incorporating the internet of things, cloud computing, autonomous and robotics systems, big data analytics, augmented reality, cyber security, simulation, system integration, and additive manufacturing.

List of contents

• Chapter 1: The Nine Pillars of technology for Industry 4.0


• Chapter 2: Industry 4.0: the next frontier and its technological impacts, the role of global standardisation and sustainable development


• Chapter 3: Industrial revolution 4.0 - big data and big data analytics for smart manufacturing


• Chapter 4: Virtual and augmented reality in Industry 4.0


• Chapter 5: Cyber security: trends and challenges toward Industry 4.0


• Chapter 6: The role of IIoT In smart Industries 4.0


• Chapter 7: Simulation in the 4th Industrial Revolution


• Chapter 8: The role of artificial intelligence in development of smart cities


• Chapter 9: How industrial robots form smart factories


• Chapter 10: Integration revolution: building trust with technology


• Chapter 11: System integration for Industry 4.0


• Chapter 12: Additive manufacturing toward Industry 4.0


• Chapter 13: Cloud computing in Industrial Revolution 4.0


• Chapter 14: Cybersecurity in Industry 4.0 context: background, issues, and future directions


• Chapter 15: IoT-based data acquisition monitoring system for solar photovoltaic panel


• Chapter 16: Internet of Things (IoT) application for the development of building intelligent energy management system


• Chapter 17: Expert fault diagnosis system for building air conditioning mechanical ventilation


• Chapter 18: Lean green integration in manufacturing Industry 4.0


• Chapter 19: Lean government in improving public sector performance toward Industry 4.0


• Chapter 20: Lean dominancy in service Industry 4.0


• Chapter 21: Case study: security system for solar panel theft based on system integration of GPS tracking and face recognition using deep learning


• Chapter 22: Project Dragonfly


• Chapter 23: Improving round-robin through load adjusted-load informed algorithm in parallel database server application


• Chapter 24: 5G network review and challenges


• Chapter 25: Industry 4.0 and SMEs

Product details

• Assisted by: Joon Huang Chuah (Editor), Wai Yie Leong (Editor), Boon Tuan Tee (Editor), Tee Boon Tuan (Editor)
• Publisher: Institution of Engineering & Technology
• Languages: English
• Product format: Hardback
• Released: 28.02.2021
• EAN: 9781839530050
• ISBN: 978-1-83953-005-0
• No. of pages: 576
• Dimensions: 163 mm x 241 mm x 33 mm
• Weight: 1089 g
• Series: Telecommunications
• Subject: Natural sciences, medicine, IT, technology > Technology > Electronics, electrical engineering, communications engineering