一种基于多参数传感器的污水水质实时监测系统
By adaptively optimizing the secondary penalty factor and combining chemical oxygen demand and ammonia nitrogen data, the zero-point drift caused by biofilm is identified and corrected, solving the problems of false detection and false negative detection caused by fixed penalty factors in traditional methods, and improving the accuracy and robustness of wastewater quality monitoring.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SHAANXI ZHENGWEI ENVIRONMENTAL TESTING CO LTD
- Filing Date
- 2026-04-24
- Publication Date
- 2026-07-17
AI Technical Summary
In wastewater quality monitoring, existing variational mode decomposition algorithms, with their fixed-size secondary penalty factors, struggle to adapt to the nonlinear growth process of biofilms, leading to nonlinear zero-point drift of the sensor measurement baseline and resulting in false or missed detections.
By calculating the monotonic trend factor, multi-source synchronization coefficient, and drift confidence index, the secondary penalty factor is adaptively optimized, and combined with chemical oxygen demand and ammonia nitrogen data, zero-point drift caused by biofilm is identified and corrected.
It improves the accuracy and anti-interference ability of wastewater quality monitoring, can promptly identify sensor contamination, enhances the robustness of data correction, and ensures the accuracy and stability of monitoring data.
Smart Images
Figure CN122084853B_ABST