The core of the decision-making layer is the intelligent algorithm model, which combines the mechanism model and the data-driven model to achieve dynamic prediction and optimization of aeration volume.
Establishing a backwash log to record the cleaning frequency, chemical consumption, and membrane performance changes under different water quality conditions can provide a basis for process optimization.
As a core infrastructure for urban water environment management, modern municipal sewage treatment equipment significantly reduces energy consumption while greatly improving operational reliability and resilience through intelligent control, efficient pro
Regular cleaning and maintenance of ultrafiltration water purification equipment is essential for restoring membrane performance.
Municipal sewage treatment equipment is actively exploring technical pathways for sludge reduction and even "zero sludge" operation. Through process innovation and system integration, it aims to build a closed-loop sludge management model that ensures eff
The platform can also generate energy consumption analysis reports and optimization suggestions to help managers adjust operating strategies.