A Multi-View Image Feature Fusion Network Applied in Analysis of Aeration Velocity for WWTP

Junchen Li,Qing Hu,Yuheng Liu,Mengxi Yang,Sijie Lin,Hongchuan Jiang

doi:10.3390/w14030345

Abstract

The instability of the aeration system brings a significant challenge to the management of wastewater treatment plants (WWTP). Using image recognition methods to monitor aeration conditions accurately and enhance management efficiency is a promising way to solve this problem. To improve the efficiency of aeration condition identification and provide support for troubleshooting, we propose a method for aeration velocity condition identification based on a multi-view image feature fusion network (MVNN). Firstly, an experimental platform for simulating aeration tanks is established, and two cameras are used to acquire aeration images from different perspectives. Secondly, an image data set with 10 aeration velocity gradients is constructed and applied to the network’s training. Finally, the MVNN is used to extract and fuse the features of aeration images, and the model’s performance is evaluated on the dataset. Experiments show that the average accuracy of the method is over 98.3%, and the AUC of aeration identification is above 0.98, which indicates that the model has the potential for practical application in WWTP.

Highlights

Received: 30 December 2021Wastewater treatment facilities are incredibly significant infrastructures in modern cities, and aeration treatment is essential
Both liquids contain a total of 10 gradients of aeration images, which are captured by an image acquisition device placed on the side of the reactor
Aiming at the problem that it is difficult to measure the aeration velocity of the biochemical tank accurately, an aeration image recognition method based on feature fusion is proposed

Summary

Introduction

Received: 30 December 2021Wastewater treatment facilities are incredibly significant infrastructures in modern cities, and aeration treatment is essential. Under the influence of improper manual operation or untimely monitoring of aeration, WWTP workers will find it challenging to ensure the stability and reliability of aeration treatment, which will quickly lead to sludge bulking or excessive foam accidents [2,3]. The abnormal events mentioned above tend to develop rapidly. If these incidents are not found in time, the situation will worsen and lead to more severe accidents [4]. The aeration system is an indispensable part of wastewater treatment. Ensuring the stable operation of the aeration system is an essential work of the wastewater plant. Regular aeration can make the biological treatment unit have a constant dissolved oxygen concentration, ensuring the normal physiological activities of microorganisms. Because of the large area of the aeration tank, the existing mechanical instruments

Methods

Results

Conclusion