基于潜在状态序列推演的污水处理加药控制方法、装置、设备及介质
By using a wastewater treatment dosing control method based on potential state sequence deduction, and by generating and evaluating candidate dosing actions using state coding networks and state transition models, the method solves the problems of lag and model mismatch in traditional dosing control systems, achieves proactive control and effluent stability, and reduces operating costs.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- XINTONG EMPOWERMENT (CHANGSHA) ARTIFICIAL INTELLIGENCE IND APPLICATION SYSTEM CO LTD
- Filing Date
- 2026-05-15
- Publication Date
- 2026-07-17
AI Technical Summary
Existing dosing control systems are slow to react to emergencies such as combined sewer overflows caused by rainfall or illegal nighttime industrial wastewater discharges, resulting in process delays, decision-making blind spots, and mismatched mechanistic models, leading to reagent waste and sludge increase, making it difficult to achieve proactive control.
A wastewater treatment chemical dosing control system is constructed using a latent state sequence deduction method, through state coding network and state transition model. Candidate dosing actions are generated by using hidden state vectors and policy networks, and the dosing control actions are evaluated and optimized based on value network, thus achieving proactive control by deduction before execution.
It enables multi-step sequence deduction and strategy evaluation in the potential state space, avoiding the response delay and mechanism model mismatch of traditional feedback control, reducing reagent waste and operating costs, and improving the stability of effluent and the robustness of the control system.
Smart Images
Figure CN122194935B_ABST