| Issue |
E3S Web of Conf.
Volume 539, 2024
III International Conference on Agriculture, Earth Remote Sensing and Environment (RSE-III-2024)
|
|
|---|---|---|
| Article Number | 01030 | |
| Number of page(s) | 7 | |
| Section | Ecology, Environmental Protection and Conservation of Biological Diversity | |
| DOI | https://doi.org/10.1051/e3sconf/202453901030 | |
| Published online | 17 June 2024 | |
Automation of activated sludge quality monitoring in wastewater treatment using computer vision technology
1 ITMO University, 49, lit. A, Kronverksky Ave., St. Petersburg, 197101, Russian Federation
2 St. Petersburg State University of Industrial Technologies and Design, 18, st. Bolshaya Morskaya, St. Petersburg, 191186, Russian Federation
* Corresponding author: verteletckii.evgenii@yandex.ru
This paper explores a method for automating the monitoring process of activated sludge quality control at biological wastewater treatment plants using computer vision technology. The implementation of such a system will reduce the need for manual intervention on the part of microbiological laboratory technicians and provide continuous monitoring of the cleaning process. This method is based on in-depth analysis of activated sludge images obtained using an automated microscope, and subsequent processing of the data using a machine learning model to determine the number and types of microorganisms. The results obtained make it possible to assess the quality of activated sludge based on its microbiological composition in order to, based on the assessment obtained, take the necessary actions to change and adjust the processes of biological wastewater treatment.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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