| 摘要: |
| 目的 现有复杂操作界面的布局对于人体舒适性缺乏量化，本文提出了一种将人体舒适因素定量化的操作界面布局优化设计方法。方法 首先，通过快速上肢评价法（RULA）与视觉注意度评价量化操作界面的舒适性需求，结合待布元件的重要度与使用频率权重建立人体舒适因素的布局优化数学模型；然后，利用量子粒子群算法（QPSO）求解该数学模型，并依据求解结果对操作界面进行布局设计；最后，采用模糊综合评价法对优化前后的操作界面设计方案进行比较。结果 以某型矿用挖掘机操作界面的布局设计为实例进行验证，发现优化后操作界面的舒适性得到了明显改善。结论 该研究可为复杂操作界面提供一种以人体舒适因素为主要目标的布局优化方法。 |
| 关键词: 工业设计 人机界面 快速上肢评价法 量子粒子群算法 改进群AHP-GRA法 |
| DOI：10.19554/j.cnki.1001-3563.2023.18.018 |
| 分类号:TB472 |
| 基金项目:国家自然科学基金项目（51805043）；长安大学中央高校基本科研业务费资助项目（300102253107） |
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| Optimization of Mining Excavator Operation Interface Layout Based on RULA and QPSO |
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FENG Qing1, HAO Xiu-li1, YANG Yan-pu2, LIU Guo-chuang3
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(1.School of Art, Xi'an University of Science & Technology, Xi'an 710054, China; 2.School of Construction Machinery, Chang'an University, Xi'an 710064, China; 3.School of Art, Tianjin University of Technology, Tianjin 300384, China)
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| Abstract: |
| The layout of the existing complex operation interface lacks quantification of human comfort. Based on this, the work aims to propose a method for optimizing the layout of operation interfaces that quantifies human comfort factors. The comfort requirements of the operation interface were quantified through rapid upper limb assessment and visual attention evaluation, and a mathematical model for optimizing the layout of human comfort factors was established based on the importance of the components to be laid and the weight of usage frequency. Then, the quantum particle swarm optimization algorithm was adopted to solve the mathematical model, and the operation interface was laid out based on the solution results. Finally, the fuzzy comprehensive evaluation method was used to compare the operation interface design schemes before and after optimization. The layout design of a certain type of mining excavator operation interface was validated as an example, and the comfort of the optimized operation interface was significantly improved. This study can provide a layout optimization method for complex operation interfaces with the main objective of human comfort factors. |
| Key words: industrial design HMI rapid upper limb assessment quantum particle swarm optimization improved group AHP-GRA method |
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