Design of a monitoring system for robotic fish in underwater environment

Abstract

A set of real-time monitoring systems are designed for automatic obstacle avoidance in water environments. Through these designs and remote-controlled robotic fish, based on the set depth and planning of the acquisition point, five water quality environmental measures are obtained, including water level and temperature, pH, dissolved oxygen, conductivity, and turbidity; this is achieved using real-time acquisition, processing, remote storage, display, analysis and warning. The system is applied to the five sampling points in Chaohu Lake to achieve the expected results. It demonstrates a high value for online monitoring and early warnings for inland lakes and fine aquaculture.