Research on data collection and transmission technologies for automatic control of high-frequency ozonators in water disinfection

Palvan Kalandarov, Dina Еrmanova, Nurzak Duisenov, Madina Koshkinbayeva, Bekmurat Shynzhigit, Daria Riumina

2025

Full text Open access: Gold Metadata (CSL-JSON)
DOI 10.1088/1755-1315/1491/1/012052
Data confidence 70 medium
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Abstract

Abstract This scientific work analyzes the research on data collection and transmission technologies for automatic control of high-frequency ozonators in water disinfection. The purpose of the study is to improve disinfection efficiency and optimize the system’s operation by using IoT and artificial intelligence technologies in the control of ozonators. During the study, data collected by sensors were processed in real-time through an IoT system and analyzed using artificial intelligence. Results showed that the efficiency of ozonator control increased by 25%, and ozone consumption was reduced by 20%. The use of a PID controller allowed for a 15% reduction in the duration of the disinfection process. The application of sensor networks reduced system downtime by 10%, ensuring continuous operation. Service costs were reduced by up to 30%, improving economic efficiency. These results proved the effectiveness of integrating IoT and artificial intelligence technologies. Furthermore, this method offers an environmentally friendly solution. In conclusion, improving the automatic control systems of ozonators is a significant step towards enhancing the water disinfection process.