Design Of Intelligent Tea Picking Robot For Complex Working Conditions

With the development of aging and urbanization,tea producing areas are facing the problems of insufficient labor and deserted fields.Existing picking equipment work in a large-scale and non-selective manner,which are efficient but poor in quality.Thus,manual picking is still a main method.With the development of economy and global trade,consumers have an increasing demand for famous and high-quality tea,while existing manual picking gradually cannot keep up with the market demand.Based on field research and user research,current situations of the tea industries and user needs were collected and analyzed in this study.The picking scene experience map was adopted to gain an in-depth understanding of the hidden demands in the picking process.After user research,the users’ demands for product functions and the pain points of the existing equipment were also investigated.On the one hand,the product design should meet the functional needs for tea picking.On the other hand,it could meet the perceptual needs for users,providing a high-quality service for the tea industriesCurrent picking robots in the agricultural fields were studied,and the commonalities and differences of current different picking equipment were summarized in this study Meanwhile,the tea picking robots and users were analyzed to characterize the picking scenes based on the act of tea planting groups as the target users.After field investigations,user interviews,questionnaires distribution,and other user research,current tea picking problems and tea planting groups’ demands for picking equipment functions were analyzed to provide a basis for the next design process.Design principles of agricultural picking products were discussed,and the environments of tea picking robots and users were also analyzed.Based on the classification and characteristics of the existing agricultural robots,the design principles were proposed combining the relationships between picking robots,users,and environments.The principles could provide constraints for designing picking robots and guide the activities of picking robot products.The traditional perceptual-based color design method was improved,and a color design method based on quantitative experiments was proposed.From the perspective of pest control,the effects of different colors on pests and diseases under visible light environments were investigated based on the pest responses to different light colors,which could make color design more practical and scientific while meeting the perceptual needs of users.Finally,based on the design principles of the picking products,user needs,and product working environment element restrictions,a tea picking robot was designed and its three-dimensional model was established.The rendering effect of the structure and picking robot were displayed,and finally the picking was completed.