Digitalization of Biological Wastewater Treatment Plants: Towards Industry 5.0 is an indispensable resource for students and researchers dedicated to sustainable environmental practices and the future of wastewater management. The book delves into the transformative potential of Industry 5.0 for biological wastewater treatment plants, building on the advancements of Industry 4.0. The chapters cover a wide range of cutting-edge topics, including the integration of smart machines with human expertise, the application of machine learning and deep learning for sustainable development, and the use of explainable AI and reinforcement learning. The editors explore the incorporation of the Internet of Things (IoT) and digital twins, the challenges and opportunities of blockchain technologies, and the ethical considerations of adopting these innovations. The inclusion of methods and case studies highlight real-world applications, offering valuable insights into the digital transformation of wastewater treatment systems, particularly in developing countries. This comprehensive guide is essential for enhancing operational efficiency, boosting productivity, and achieving sustainability goals in the wastewater management sector.
1. Title of Book - p. i 2. Cover image - p. i 3. Title page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iv 6. List of contributors - p. xv 7. About the editors - p. xvii 8. Preface - p. xix 9. Chapter 1. Industry 4.0 or Industry 5.0? Overview of the biological wastewater treatment sector 4.0 and an insight into the potential of Industry 5.0 - p. 1 10. Chapter 2. Bibliographic analysis on biological wastewater treatment plants toward Industry 5.0 - p. 23 11. Chapter 3. Smart machines working alongside people with added resilience and sustainability goals in biological wastewater treatment plants - p. 39 12. Chapter 4. Machine learning and deep learning applications in biological wastewater treatment systems to progress in sustainable development - p. 65 13. Chapter 5. Explainable artificial intelligence and reinforcement learning applications on biological wastewater treatment plants - p. 97 14. Chapter 6. Integration of Internet of Things with artificial intelligence and biological wastewater treatment plants - p. 119 15. Chapter 7. Digital twins in biological wastewater treatment systems: challenges and opportunities - p. 143 16. Chapter 8. Integration of digital twins with artificial intelligence and Internet of Things tools for biological wastewater treatment systems - p. 161 17. Chapter 9. Application of blockchain technologies in biological wastewater treatment plants: challenges and opportunities - p. 187 18. Chapter 10. Emerging opportunities and threats in the digital revolution of the biological water sector for Industry 5.0 - p. 203 19. Chapter 11. Conclusion on the role of artificial intelligence/machine learning and control systems in advancing digital biological wastewater treatment to support sustainable development goals - p. 227 20. Chapter 12. Digital transformation of biological wastewater treatment plants: case study of Industry 5.0 in a developing country - p. 245 21. Chapter 13. Ethical considerations and implications of adopting Industry 5.0 technologies in biological wastewater treatment plants - p. 269 22. Index - p. 299
Digitalization of Biological Wastewater Treatment Plants: Towards Industry 5.0 is an indispensable resource for students and researchers dedicated to sustainable environmental practices and the future of wastewater management. The book delves into the transformative potential of Industry 5.0 for biological wastewater treatment plants, building on the advancements of Industry 4.0. The chapters cover a wide range of cutting-edge topics, including the integration of smart machines with human expertise, the application of machine learning and deep learning for sustainable development, and the use of explainable AI and reinforcement learning. The editors explore the incorporation of the Internet of Things (IoT) and digital twins, the challenges and opportunities of blockchain technologies, and the ethical considerations of adopting these innovations. The inclusion of methods and case studies highlight real-world applications, offering valuable insights into the digital transformation of wastewater treatment systems, particularly in developing countries. This comprehensive guide is essential for enhancing operational efficiency, boosting productivity, and achieving sustainability goals in the wastewater management sector.
1. Title of Book - p. i 2. Cover image - p. i 3. Title page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iv 6. List of contributors - p. xv 7. About the editors - p. xvii 8. Preface - p. xix 9. Chapter 1. Industry 4.0 or Industry 5.0? Overview of the biological wastewater treatment sector 4.0 and an insight into the potential of Industry 5.0 - p. 1 10. Chapter 2. Bibliographic analysis on biological wastewater treatment plants toward Industry 5.0 - p. 23 11. Chapter 3. Smart machines working alongside people with added resilience and sustainability goals in biological wastewater treatment plants - p. 39 12. Chapter 4. Machine learning and deep learning applications in biological wastewater treatment systems to progress in sustainable development - p. 65 13. Chapter 5. Explainable artificial intelligence and reinforcement learning applications on biological wastewater treatment plants - p. 97 14. Chapter 6. Integration of Internet of Things with artificial intelligence and biological wastewater treatment plants - p. 119 15. Chapter 7. Digital twins in biological wastewater treatment systems: challenges and opportunities - p. 143 16. Chapter 8. Integration of digital twins with artificial intelligence and Internet of Things tools for biological wastewater treatment systems - p. 161 17. Chapter 9. Application of blockchain technologies in biological wastewater treatment plants: challenges and opportunities - p. 187 18. Chapter 10. Emerging opportunities and threats in the digital revolution of the biological water sector for Industry 5.0 - p. 203 19. Chapter 11. Conclusion on the role of artificial intelligence/machine learning and control systems in advancing digital biological wastewater treatment to support sustainable development goals - p. 227 20. Chapter 12. Digital transformation of biological wastewater treatment plants: case study of Industry 5.0 in a developing country - p. 245 21. Chapter 13. Ethical considerations and implications of adopting Industry 5.0 technologies in biological wastewater treatment plants - p. 269 22. Index - p. 299
