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Multi-agent large language model frameworks: Unlocking new possibilities for optimizing wastewater treatment

Samuel Rothfarb¹, Mikayla Friday¹, Xingyu Wang¹

¹School of Civil and Environmental Engineering, University of Connecticut, Storrs, Connecticut, 06269, USA.

Environmental Research

|March 16, 2025

Summary

Multi-agent Large Language Models (LLMs) offer advanced wastewater treatment plant (WWTP) control by integrating diverse data for better decision-making. This AI approach enhances operational efficiency and adaptability beyond traditional methods.

Area of Science:

Environmental Engineering
Artificial Intelligence
Wastewater Treatment

Background:

Wastewater treatment plants (WWTPs) face operational challenges due to complex, dynamic interactions.

Keywords:

Engineering system complexity Human-data interaction Large language model (LLM)Multi-agent framework Real-time decision making Wastewater treatment

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