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

TL;DR

This paper introduces an autonomous robot network-based intelligent system for automated, scalable, and flexible environmental monitoring of aquatic parameters in Sevastopol Bay, enhancing traditional methods with rapid deployment and adaptive coverage.

Contribution

It presents a novel conceptual and software model for autonomous aquatic environment monitoring using a network of small robots, including simulation-based optimization of station density.

Findings

Control maps for optimal station density were generated.

Simulation demonstrated system's scalability and adaptability.

Advantages over traditional methods include faster deployment and wider coverage.

Abstract

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.