一种基于图像分析的MBR曝气均匀性检测方法及系统
By constructing a Hessian matrix on the surface of the MBR pool and combining it with spot feature ratio, structural strength, and morphological background correction factors, the response threshold is adaptively corrected, solving the problem of wave gradient noise being misjudged as bubbles. This enables accurate assessment of the aeration uniformity of the MBR pool and improves the accuracy and robustness of the detection.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SHAANXI WEILAN ENERGY SAVING & ENVIRONMENTAL TECH GRP CO LTD
- Filing Date
- 2026-04-10
- Publication Date
- 2026-07-17
AI Technical Summary
Existing Hessian matrix detection algorithms tend to misjudge wave gradient noise as bubbles under strong aeration conditions in MBR tanks, leading to a false overestimation of bubble coverage and an inability to accurately identify uneven aeration in certain areas, thus affecting the operation optimization and fault early warning of the MBR system.
By constructing the Hessian matrix of the MBR pool surface, the spot feature ratio, structural strength, relative protrusion and area variation coefficient of the pixels are calculated. The response threshold is adaptively corrected by combining the morphological background correction factor to generate a bubble binarized mask image, and the aeration uniformity index is calculated to achieve accurate evaluation of aeration uniformity.
It improves the accuracy and anti-interference ability of bubble detection in MBR tanks, enabling timely and accurate identification of uneven local aeration, and enhancing the operation optimization and membrane fouling control capabilities of MBR systems.
Smart Images
Figure CN122023396B_ABST