Oxygen requirement analysis in the wastewater treatment plant using machine learning

被引：0
|
作者：
Macinic, M. E. [1 ]
Robescu, L. D. [1 ]
Boncescu, C. [1 ]
Robescu, D. [1 ]
机构：
[1] Univ Politehn Bucuresti, Dept Hydraul Hydraul Machinery & Environm Engn, 313 Splaiul Independentei,Sect 6, Bucharest 060042, Romania
来源：
8TH CONFERENCE OF THE SUSTAINABLE SOLUTIONS FOR ENERGY AND ENVIRONMENT EENVIRO 2022 | 2023年 / 1185卷
关键词：
D O I：
10.1088/1755-1315/1185/1/012024
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
The research presented in this article refers to the optimization of oxygen requirement in biological wastewater treatment using machine learning (ML) techniques with the highest efficiency of the process.The treatment technology of wastewater treatment plant consists of sequential biological reactor with nutrient removal. The analysis is based on the daily data over a period of 2 years, influent, respectively effluent wastewater characteristics, wastewater flow rate and concentration of oxygen in biological reactor. Octave software was used to build the model and it was obtained an accuracy of 85%.
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页数：8
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