The chapter discusses how Artificial Intelligence functions with current wastewater treatment systems to generate sustainable resource extraction. Clean water along with essential nutrients and energy now functions as vital resources derived from wastewater since the worldwide need for sustainable water has increased. AI technology offers effective solutions for treatment processes through three aspects: real-time surveillance systems, predictive operational protocols and automated control mechanisms. AI projects implemented in wastewater facilities produce superior operational results by both reducing power needs and retrieving substantial resources. Machine learning algorithms and neural networks in AI enable the study of bio electrochemical system data patterns to generate better decision outcomes and minimized waste output. This chapter explores AI as an integration tool among municipal waste methods from microbial operations to chemical absorption systems to develop a self-reliant wastewater system. AI researchers study the entire wastewater management practice revolution through both practical assessments and technological discoveries that highlight economic and ecological improvements.

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Technology Integration and Synergy for Optimal Resource Recovery from Wastewater

  • Ashwani Kumar,
  • Vikash Kumar,
  • Jamilu Garba,
  • Sunny Dhiman

摘要

The chapter discusses how Artificial Intelligence functions with current wastewater treatment systems to generate sustainable resource extraction. Clean water along with essential nutrients and energy now functions as vital resources derived from wastewater since the worldwide need for sustainable water has increased. AI technology offers effective solutions for treatment processes through three aspects: real-time surveillance systems, predictive operational protocols and automated control mechanisms. AI projects implemented in wastewater facilities produce superior operational results by both reducing power needs and retrieving substantial resources. Machine learning algorithms and neural networks in AI enable the study of bio electrochemical system data patterns to generate better decision outcomes and minimized waste output. This chapter explores AI as an integration tool among municipal waste methods from microbial operations to chemical absorption systems to develop a self-reliant wastewater system. AI researchers study the entire wastewater management practice revolution through both practical assessments and technological discoveries that highlight economic and ecological improvements.