Monitoring System for MBR Sewage Disposal Equipment Based on Image Recognition
Fei Wang, Feng Lin · 2018
According to the demand of raw water sample monitoring for MBR sewage disposal equipment, a monitoring system based on 3 image classifiers is designed and implemented in this paper. In this monitoring system, 3 classifiers based on support vector machine (SVM) classify the images collected by the image acquisition module and cooperate with each other, with the result of image recognition determining the operation of the MBR sewage disposal equipment by a certain control strategy. The experimental results show that the test accuracy of 3 classifiers is respectively 100%, 98.667%, 98.667%. This monitoring system operates normally under working conditions, which can monitor and control the MBR sewage disposal equipment effectively in the unattended conditions.