Optimization design of sediment sampling underwater vehicle based on TRIZ theory

In the traditional economic composition of rural areas, both agriculture and fishery are inseparable from the use of a large amount of water. The quality of water has greatly affected the development of agriculture and fishery. As a very important part of underwater resources, the composition of the sediment determines the type of production work suitable for the waters, and also determines the sustainable development of the region in the future. Ordinary underwater robots focus on keeping suspended in water for operation, and there are few studies on special robots for sediment sampling and detection. In this paper, TRIZ theory is used to optimize the design of an efficient underwater robot for underwater complex environment developed for underwater sediment collection and detection, and experimental verification is carried out.