WAYS OF IMPLEMENTING AI IN MONITORING AND CONTROL OF AQUATIC ENVIRONMENTS

Abstract

The article considers modern approaches to the implementation of artificial intelligence (AI) in water environment monitoring and control systems. The relevance of the study is due to the growth of anthropogenic load, the emergence of new types of pollution, the limitations of traditional laboratory methods and the difficult environmental situation in Ukraine, which has worsened in the context of military operations.

The paper analyzes existing methods for monitoring water composition - physicochemical, spectroscopic, acoustic, biological and intellectual. Their advantages, limitations and examples of practical implementation based on information and measuring systems (IMS) using sensors, microcontrollers and cloud technologies are presented. The possibilities of using AI for automated data processing, anomaly detection, classification of pollution types and forecasting of critical changes in water parameters are shown. Special attention is paid to the creation of flexible and scalable IMS capable of integrating data from various sources (sensor networks, satellites, laboratory studies) and working with large amounts of information. The system architecture is proposed, which includes a sensor layer, communication gateways, a central server and an analytical module with neural network algorithms (LSTM, Autoencoder, classification models).

The results of the study emphasize the effectiveness of combining traditional control methods with intelligent algorithms to increase the accuracy, speed and adaptability of monitoring. The use of AI allows for early diagnosis of pollution, the formation of early warning systems, the prediction of the dynamics of the state of water resources and the support of management decision-making. Thus, the proposed approaches demonstrate the prospects for the implementation of AI in water environment monitoring and create a basis for the development of intelligent ecological systems capable of ensuring sustainable development, public health protection and ecosystem preservation.