Automated Environmental Monitoring Intelligent System Based on Compact Autonomous Robots for The Sevastopol Bay
This work addresses environmental monitoring in Sevastopol Bay, presenting an incremental improvement over traditional methods with potential benefits for local aquatic ecosystem management.
The paper tackles the problem of monitoring aquatic environmental parameters by proposing an intelligent system based on a network of small autonomous surface robots, which in simulation experiments generated control maps for optimal station density, offering advantages like scalability and flexibility.
This paper proposes an intelligent system concept for automatic monitoring of aquatic en-vironment main parameters in order to detect their anomalies and assess quantitative and qualitative indicators, including the determination of the field under study spatial and tem-poral characteristics. The system is built on the basis of a small autonomous surface robots network. A conceptual model of a monitoring system for the implementation of environ-mental parameters automated integrated monitoring throughout the entire observation field is proposed. A software model has been developed and simulation experiments have been conducted to calculate the main indicators and assess environment spatial and temporal variability. According to the results of the simulation, control maps of the stations optimal density were formed. The proposed approach to solving the problem of monitoring the aquatic environment in comparison with the traditional has such advantages as scalability, flexibility, speed of deployment and clotting, self-organization, the ability to create a wide field of view by changing the number of robots.