Core Insights - The integration of intelligent technology is crucial for the transformation and upgrading of water treatment technology, shifting from single-point innovations to system-level optimizations [1][2] - The water treatment industry faces significant challenges in achieving green and low-carbon transitions, necessitating breakthroughs in low-carbon processes, resource recovery, and efficient energy utilization [2][4] - Artificial intelligence (AI) plays a vital role in enhancing water treatment processes, enabling precise separation of pollutants and optimizing complex operational parameters [3][4] Group 1: Technological Innovations - The next generation of water treatment technology should focus on collaborative breakthroughs in low-carbon processes, resource recovery, and high-efficiency energy utilization, requiring deep integration of intelligent technologies [2][4] - Membrane materials, utilizing physical mechanisms, are widely applied in water purification and wastewater treatment, with advancements in nanofiltration and reverse osmosis systems driven by AI and high-performance computing [3][4] - Catalytic processes combined with biochemical systems can enhance treatment efficiency and sustainability, with AI enabling real-time monitoring and adjustment of operational parameters to reduce energy consumption and greenhouse gas emissions [4] Group 2: Challenges in Smart Water Management - Despite the partial application of AI in water treatment, the industry faces challenges such as outdated infrastructure, poor data quality, and underdeveloped smart platform functionalities [5][6] - The development of effective models for water treatment is hindered by issues related to model engineering, soft-hard coordination, and the need for a decision-making system based on first principles [7][8] - There is a consensus among experts that while challenges exist, the integration of AI and big data with traditional industrial technologies presents significant opportunities for the intelligent and green development of the water treatment sector [8]