基于需求分析和TRIZ的草莓采摘机器人产品创新方法研究

Innovative Methods for Strawberry Picking Robot Products Based on Need Analysis and TRIZ

目的当前我国草莓种植方式普遍较为传统,而草莓的采摘、分拣、收获环节需耗费大量人工劳动力,因此设计出适用于地垄式栽培的草莓采摘机器人具有现实意义。方法围绕人-机-环境三方面探究设计需求,提出融合FBS模型与TRIZ理论的设计方法,并探究数字仿真模型如何在设计流程中辅助功能结构优化。构建草莓采摘机器人设计方法理论框架,同时使用数字内容生成软件搭建场景模型及机器人模型以辅助生成设计方案。结果使用轨迹仿真与动力学仿真插件,对机器人的机械臂运动空间、果实夹持组件及行走机构进行模拟,设计方案被初步验证可行。结论该框架能够客观地从多维度信息中获取产品核心需求,并引入数字仿真工具,将其与功能结构分析和发明问题解决理论结合到设计过程中,用于农业机器人的创新设计方法探索。

The current strawberry cultivation methods in China are generally traditional,and the picking,sorting,and harvesting of strawberries require a lot of manual labor.Therefore,designing a strawberry picking robot suitable for ridge cultivation has practical significance.The design needs were explored around the three aspects of user-machine-envi-ronment.A design method that integrated the FBS model and the TRIZ theory was proposed,and the ways to assist in structural optimization in the design process by digital simulation models were explored.A theoretical framework was constructed for the design method of strawberry picking robots,and digital content generation software was used to build scene models and robot models to assist in generating schemes.Trajectory simulation and dynamic simulation plugins were used to simulate the motion space of the robot's robotic arm,fruit gripping components,and driving mechanism,and the design scheme was preliminarily verified to be feasible.This framework can objectively obtain core product needs from multidimensional information.It can be incorporated into digital simulation tools to combine them with functional structure analysis and invention problem solving theory in the design process,so as to explore innovative design methods of agricultural robots.