一种面向节能降耗的人工湿地智能调度控制方法
By real-time monitoring and optimization of the hydraulic parameters and dissolved oxygen requirements of wetland units, and by identifying and avoiding high-impedance units, intelligent load balancing and energy consumption reduction of the wetland system are achieved. This solves the energy waste problem caused by blockage and loss in existing technologies and improves system efficiency and lifespan.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- ENVIRONMENTAL TECH & ENG CO LTD CRAES
- Filing Date
- 2025-12-03
- Publication Date
- 2026-07-17
AI Technical Summary
In existing constructed wetland scheduling technologies, control systems based on static logic or simple feedback mechanisms cannot effectively identify and avoid energy waste and deterioration of faulty units caused by physical blockages or losses, resulting in increased energy waste and burden on normal units.
By collecting hydraulic parameters of wetland units in real time, identifying and shutting down high-impedance units, allocating water flow to unobstructed units according to their health status, optimizing aeration time based on dissolved oxygen demand, generating multi-device collaborative scheduling sequence instructions, and matching the energy efficiency characteristics of the central blower, flow path optimization and energy consumption reduction are achieved.
It achieves intelligent load balancing of wetland systems, avoids energy waste, extends the effective operating life of the system, and reduces power loss by matching air supply and oxygen demand, forming a smooth air volume demand curve and improving system efficiency.
Smart Images
Figure CN121704580B_ABST