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AI打开污水治理新空间
Zhong Guo Hua Gong Bao· 2025-10-31 05:16
Core Insights - The integration of artificial intelligence (AI) in wastewater treatment is seen as a key driver for industry transformation, particularly in the context of China's dual carbon strategy and digital transformation [1][2] - Experts emphasize that AI's core value lies in overcoming the limitations of human experience, enabling self-learning, self-decision-making, and self-evolution capabilities in wastewater treatment systems [2][3] Group 1: Industry Transformation - The wastewater treatment industry is transitioning from a focus on construction to operational efficiency, creating unprecedented opportunities for AI integration [2] - AI is expected to enhance energy efficiency by 15% to 20%, reduce chemical consumption, and improve system stability, marking a shift in industry focus from mere compliance to quality and efficiency [2][3] Group 2: Technological Integration - The concept of "smart water management" is emerging as essential for high-quality industry development, supported by national policies promoting digital economy and AI applications in environmental monitoring and management [3] - Successful implementation of AI in wastewater treatment requires deep integration of IT knowledge with water treatment expertise, moving beyond mere technological display to substantial operational control [3][4] Group 3: Capital and Investment Perspective - The capital market views the integration of AI and environmental protection as being in its early stages, with future competitiveness hinging on the ability to create high-quality data and iterative models that align with real-world operations [4] - The complexity and safety requirements of petrochemical wastewater treatment make it a critical area for validating AI capabilities, with significant potential for energy savings and management value [4] Group 4: Innovations and Applications - Recent innovations in AI applications for wastewater treatment were showcased, including advancements in sludge disposal, full-process control, and industrial intelligent cloud platforms [5]