Optimization of Observational Bionic Underwater Vehicle Based on TRIZ Theory

This paper applies the Theory of Inventive Problem Solving (TRIZ) to address challenges in observation-type biomimetic underwater robots. Traditional underwater robots impact the environment, while biomimetic robots lack flexibility and compression resistance. By using TRIZ theory, we focus on designing and optimizing biomimetic underwater observation robots. Problems with propeller-driven robots are identified, including size, adaptability, maneuverability, and environmental impact. System analysis reveals limitations in the propulsion system and shell. To overcome these challenges, a buoyancy control system and rubberized toughened plastics are proposed. Solutions are validated through optimization design, simulations, and prototype testing, improving vertical movement and pressure resistance. TRIZ theory helps identify and resolve technical contradictions, fostering innovation and providing reliable solutions for underwater observation tasks. This research contributes to the development of observation-type underwater robots and highlights TRIZ’s potential in addressing engineering problems and fostering innovation. Further research is needed to address additional aspects and practical implementation challenges.