Assessing upper limb joint comfort and optimizing handheld controller operations

手持控制器操作的上肢关节舒适性评估与作业优化研究

¹ Key Laboratory of Road Construction Technology and Equipment of MOE, Chang'an University, Xi'an 710064, China
² AECC Chengdu Engine Co., Ltd., Chengdu 610503, China
³ Institute of Industrial Hygiene of Ordnance Industry, China North Industries Group Corporation Limited, Xi'an 710065, China

Received: 8 August 2024

Abstract

The prolonged operation of a handheld controller for unmanned equipment can pose the risk of work-related musculoskeletal disorders (WMSDs) to its operator. To enhance the comfort of upper limb joints during such operations, the digital human and task scenario model was established with the JACK ergonomic analysis software. Comfort assessment models of joint moments and angles were established respectively, and the relationship between upper limb joint comfort and different forward inclination angles of the atlanto-occipital joint was studied. A multi-objective function for optimizing the upper limb posture during handheld controller use was formulated. The non-dominated sorting genetic algorithm Ⅱ (NSGA-Ⅱ) with the elite strategy was introduced to solve the optimal upper limb posture, obtaining the optimal postures for handheld controller operations and designing supportive devices. Intuitionistic fuzzy numbers were then employed to handle the uncertainty and hesitation in a decision-maker's assessment of design solutions, selecting the optimal design for supportive devices used with the handheld controller in its optimal posture.

摘要

无人装备手持控制器的长时间操作易给作业人员带来上肢肌肉骨骼损伤风险, 为提高手持控制器作业中人员的上肢关节舒适性, 利用JACK人机工程分析软件进行数字人与作业场景建模, 分别构建了关节力矩和角度的舒适度评估模型, 研究了寰枕关节不同前屈角度下的上肢关节舒适度变化关系, 建立了手持控制器上肢姿态优化多目标函数, 引入带精英策略的快速非支配排序遗传算法(nondominated sorting genetic algorithm Ⅱ, NSGA-Ⅱ)进行最优上肢姿态求解, 获取手持控制器作业的最佳姿势并设计了辅助装置方案, 进而引入直觉模糊数处理决策者在评估设计方案时的不确定与犹豫性, 实现了最优姿态下手持控制器操作辅助装置设计方案优选。