Overall structural design and scheme research of intelligent picking machinery for daylily
黄花菜智能采摘机械整体结构设计与方案研究

摘要

针对黄花菜采收劳动强度大、效率低下、损耗严重问题，本文从模块化设计及人工智能角度出发设计智能采收设备。研究组对黄花菜生物特性以及采收困难进行分析总结，确定功能要求和技术指标，并制定机械总体结构。模块化设计具体到各个功能单元及其连接方式，便于不同部分单独研发并组装在一起使用，提高设备可维修性和通用性。采用大语言模型进行图像识别和目标检测，结合路径规划和运动控制完成精准采摘并且不伤花。该样品试验结果显示，在采收效率、损伤率以及运行稳定性这三个方面都满足要求，可为黄花菜产业智能化转型升级服务。

Abstract

Aiming at the problems of high labor intensity, low efficiency and severe loss in daylily harvesting, this paper designs intelligent harvesting equipment from the perspectives of modular design and artificial intelligence. The research team analyzed and summarized the biological characteristics of daylilies and the difficulties in harvesting, determined the functional requirements and technical indicators, and formulated the overall mechanical structure. Modular design is implemented for each functional unit and their connection modes, which facilitates the independent development and assembly of different components, and improves the maintainability and versatility of the equipment. The large language model is adopted for image recognition and target detection. Combined with path planning and motion control, precise picking is realized without damaging flowers. The prototype test results show that the equipment meets the requirements in terms of harvesting efficiency, damage rate and operation stability, which can support the intelligent transformation and upgrading of the daylily industry.