In summary: Transitioning from "manual + experience" to "data + AI + self-driving," upgrading from "pollution control plant" to "intelligent low-carbon resource factory.".
1. Global Perception: From "Partial Monitoring" to "Seamless Full-Chain Coverage"
• Miniaturized/autonomous power sensor proliferation: MEMS, optical fiber, electrochemical microsensors, covering all nodes of pipelines, biochemical tanks, secondary sedimentation tanks, sludge, and reclaimed water, with a delay of <10 seconds
• Integrated monitoring of factory, network, river, and source: Real-time collection of water quality, water volume, energy consumption, chemical usage, equipment status, meteorological conditions, and pipeline network liquid level/leakage across all domains
R1: "Edge computing" must be translated as edge computing
Original: • Edge computing decentralization: On-site real-time analysis, local closed-loop control, reducing cloud dependency and latency
Translation:
II. Deep AI Applications: From "Decision Support" to "Autonomous Operation"
• AI Process Optimization (Core):
◦ Intelligent aeration/chemical dosing: Saves 15%–33% energy, reduces chemical consumption by over 20%, ensures stable and compliant effluent quality
Water Quality Prediction and Early Warning: Anticipate fluctuations in COD, ammonia nitrogen, and total phosphorus 6–15 hours in advance, enabling proactive intervention
◦ High-salt/Recalcitrant Wastewater: AI-adapted halophilic bacteria, MBBR, and salt separation process, with impact resistance improved by over 40%
• Predictive Maintenance: AI diagnoses faults in pumps, fans, membranes, and instruments, providing 7–30-day early warnings and reducing downtime by 50%+
• Water Utility Large Model (GPT-level): Natural language interaction, automatic generation of operation plans, fault diagnosis, process optimization, replacing senior engineers' decision-making
3. Digital Twin: From "Visualization" to "End-to-End Virtual Factory"
• 1:1 Digital Twin Full Coverage: Modeling biochemical pools, pipe networks, pump stations, and sludge treatment, with over 3,500 data points mapped in real-time
R1: "Rainstorm" must be translated as rainstorm.
Original: • Simulation drills: extreme flooding, rainstorm overflow, high-salinity impact, equipment failure, and advance预案 generation.
Translation:
• Virtual-Physical Synergistic Control: The twin system issues optimal parameters, which are automatically executed on-site, forming a closed loop of perception-analysis-decision-execution
4. Unmanned/Less-Personnel: From "Three Shifts" to "Dark-Floor Factory"
• Intelligent Patrol: UAV/USV Pipeline Inspection, Robot Grating Cleaning/Sludge Removal, UWB Positioning Safety Management
• Remote centralized control + local autonomy: Central monitoring + unattended on-site operation, reducing labor costs by 30%+
• Autonomous Self-Healing: Automatic failover/restart for minor faults, system self-repair, with a continuous operation rate >99.5%
V. Intelligent + Low Carbon + Resource Utilization: A Triple Convergence (Mainline of the 15th Five-Year Plan)
• Smart + Low Carbon: AI optimizes anammox and short-cut nitrification, saving 30%+ in electricity and reducing carbon emissions by 60%; photovoltaic + biogas power generation achieves an energy self-sufficiency rate of ≥30%, with benchmark plants achieving carbon neutrality
• Smart + Resource Utilization: AI-powered precise salt separation, nitrogen and phosphorus recovery, sludge-to-construction materials/power generation, and tiered utilization of reclaimed water, with resource recovery rate ≥80%
• Intelligent Carbon Asset Management: AI calculates carbon footprint, connects to carbon markets, and monetizes carbon benefits
VI. Quantitative Trends in Technology and Markets (Directly Write the Plan)
• 2030: 75% of municipal/industrial wastewater treatment plants will have completed intelligent transformation; over 60% of plants with a capacity of 10,000 tons or more will have achieved digital twin implementation
The smart water management market is growing at an annual rate of over 15%, with its size projected to exceed 120 billion yuan by 2030
• Rural decentralized sewage: AI + small modular systems, unmanned operation, low cost, with a treatment rate of 55%
VII. Business Model Transformation
• From selling equipment → selling services: EPC+O, managed operations, pay-for-performance/energy savings/CO2 emission reduction
• Data monetization: Water quality/carbon/energy consumption data services, basin collaborative management, carbon asset development
• Universal Access: Low-cost intelligent solutions reach rural areas, communities, and small businesses, with no technical barriers
8, Security and compliance upgrades
Industrial control security+data compliance: zero trust, quantum encryption, data grading, to prevent network attacks
Unified standards: interconnection, data interface, intelligent operation and maintenance specifications, breaking the basic knowledge of information silos and activated sludge process
