DEVELOPMENT OF ARTIFICIAL INTELLIGENCE–BASED MODELS, ALGORITHMS, AND SOFTWARE FOR ONLINE MONITORING OF DRINKING WATER QUALITY
Keywords:
xAbstract
Access to safe drinking water is a fundamental human right and a critical requirement for public health. Traditional methods of water quality assessment rely heavily on laboratory-based analysis, which, while accurate, is time-consuming and resource-intensive. With the growing availability of sensor technologies, Internet of Things (IoT) infrastructures, and machine learning techniques, the development of real-time, automated, and intelligent monitoring systems has become a pressing need. This article discusses the theoretical foundations, models, algorithms, and software solutions for online monitoring of drinking water quality using artificial intelligence (AI). Emphasis is placed on the role of AI in predicting water quality parameters, anomaly detection, and decision support for water management authorities
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