中国农业大学学报2026，Vol.31Issue(5)：166-180,15.DOI:10.11841/j.issn.1007-4333.2026.05.14
基于作业适用性的苹果园斜式升降装置参数多目标优化与试验
Multi-objective optimization and experiment of parameters for an inclined lifting device in apple orchards based on operational applicability
摘要
Abstract
In wide-row,high-density apple orchards,the spatial mismatch between traditional vertical lifting devices and spindle-shaped tree canopies often results in poor working postures and excessive physical Istrain on the upper limbs and lower back of operators.To address this issue,an inclined lifting device was designed in this study.A multi-objective optimization model integrating canopy geometry,ergonomic principles,and platform stability was established,with the operational area maximized as the objective and the lumbar force and anti-overturning stability taken as constraints.The inclination angle and maximum extension length of the device were optimized using the Non-dominated Sorting Genetic Algorithm Ⅱ(NSGA-Ⅱ).The results show that the Pareto-optimal parameters obtained are an inclination angle of 74.4° and a maximum extension length of 1 524.4 mm.Field comparative experiments demonstrate that,compared with the vertical lifting device,the inclined lifting device increases the probability of the operational trajectory falling within the ergonomic comfort window by 56.43％,and reduces the lumbar muscle activation level by 58.80％.The proposed device effectively improves the platform's adaptability to spindle-shaped canopies,significantly lowers the operator's physiological load,and provides a new direction for the development of efficient and low-strain orchard equipment.关键词
斜式升降装置/作业适用性/参数优化/非支配排序遗传算法ⅡKey words
inclined lifting device/work applicability/parameter optimization/NSGA-Ⅱ algorithm分类
农业科技引用本文复制引用
王朋,张詝,李洋,田思博,郭浩,杨欣,李建平..基于作业适用性的苹果园斜式升降装置参数多目标优化与试验[J].中国农业大学学报,2026,31(5):166-180,15.基金项目
河北省现代农业产业技术体系苹果创新团队现代果园装备与智能化项目(HBCT2024150202) （HBCT2024150202）
国家苹果产业技术体系果园生产管理机械化项目(CARS-27) （CARS-27）
