AI助力打造“花园式”污水处理厂

Core Viewpoint - The article highlights the implementation of artificial intelligence (AI) technology in wastewater treatment plants, specifically focusing on the "garden-style" wastewater treatment plant developed by China Energy Conservation and Environmental Protection Group, which enhances the efficiency and accuracy of wastewater management. Group 1: AI Implementation in Wastewater Treatment - The wastewater treatment plant utilizes an AI water management system that enables visualization, prediction, control, and early warning of wastewater treatment processes [1] - The AI system has increased the number of water quality sampling points from 10 to 100, allowing for more precise data collection [1] - The AI system predicts various water quality indicators such as inflow and outflow volumes, ammonia nitrogen concentration, chemical oxygen demand, total nitrogen, and total phosphorus levels [1] Group 2: Operational Efficiency and Accuracy - The plant's design capacity is 400,000 tons per day, but actual inflow can vary significantly due to seasonal and weather factors, ranging from over 500,000 tons to just over 200,000 tons [2] - Initially, the AI system's prediction accuracy was around 80%, but it is expected to improve to 98% with ongoing data training and algorithm optimization [2] - The AI system automates and intelligently adjusts all wastewater treatment processes, including pump operation, chemical dosing, aeration control, and return flow control, achieving fine-tuned management [3] Group 3: Monitoring and Early Warning - The AI system functions as a 24-hour monitoring sentinel, capable of identifying water quality exceedances and data anomalies [3] - In cases of severe water quality exceedance, equipment anomalies, or deviations in process parameters, the AI system provides early warnings to prompt human intervention [3]