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This paper proposes an intelligent system concept for automatic monitoring ofaquatic en-vironment main parameters in order to detect their anomalies andassess quantitative and qualitative indicators, including the determination ofthe field under study spatial and tem-poral characteristics. The system isbuilt on the basis of a small autonomous surface robots network. A conceptualmodel of a monitoring system for the implementation of environ-mentalparameters automated integrated monitoring throughout the entire observationfield is proposed. A software model has been developed and simulationexperiments have been conducted to calculate the main indicators and assessenvironment spatial and temporal variability. According to the results of thesimulation, control maps of the stations optimal density were formed. Theproposed approach to solving the problem of monitoring the aquatic environmentin comparison with the traditional has such advantages as scalability,flexibility, speed of deployment and clotting, self-organization, the abilityto create a wide field of view by changing the number of robots.

Automated Environmental Monitoring Intelligent System Based on Compact Autonomous Robots for The Sevastopol Bay