Description
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.- Offers comprehensive information on sustainable wastewater treatment practices associated with the smart technologies.- Includes case studies of real-life applications in wastewater treatment with high quality visual elements, process diagrams and flowcharts.- Contains exploration of advanced technologies like artificial intelligence, machine learning, IoT, and digital twins within biological wastewater treatment plants.
Table of Contents
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 5.02. Bibliographic analysis on biological wastewater treatment plants towards Industry 5.03. Smart machines working alongside people with added resilience and sustainability goals in biological wastewater treatment plants.4. Machine Learning and Deep learning Applications in Biological Wastewater Treatment Systems to Progress in Sustainable Development5. Explainable artificial intelligence (XAI) and Reinforcement Learning-application on biological wastewater treatment plants6. Integration internet of things (IoT) with AI in biological wastewater treatment plants7. Digital Twins in biological wastewater treatment systems: Challenges and opportunities8. Integration of digital twins with AI and IoT tools for biological wastewater treatment systems9. Application of block chain technologies in biological wastewater treatment plants: Challenges and opportunities10. Emerging opportunities and threats in digital revolution in biological water sector for industry 5.011. Conclusion of digital biological wastewater treatment for sustainable development goals12. Digital transformation of biological wastewater treatment plants: case study of industry 5.0 in a developing country13. Ethical considerations and implications of adopting industry 5.0 technologies in biological wastewater treatment plants
