This research focuses on designing and evaluating ergonomic self-propelled machinery seats to reduce whole-body vibration (WBV) exposure among male and female agricultural workers. Subjects without musculoskeletal disorders were selected, and their anthropometric parameters were analyzed. An ergonomically refined seat, considering anthropometric dimensions and vibration reduction, was developed and tested. Vibration isolators using piezoelectric material enhanced operator comfort. In a laboratory experiment, real-time one-third octave band WBV data were collected using various seat types and engine speeds. At 1200 rpm, female operators experienced WBV levels between 3.42 and 13.40 m/s², while males ranged from 3.13 to 12.20 m/s². At 1600 rpm, females (T-1) had WBV levels of 20.20–42.39 m/s², and males recorded 18.90–40.12 m/s². At 2000 rpm (T-1), female operators WBV ranged from 246.71 to 303.45 m/s², and males from 248.10 to 300.13 m/s². At 2400 rpm (T-1), female operators experienced WBV from 385.29 to 457.87 m/s², and males from 381.57 to 445.50 m/s². An integrated approach with artificial neural networks and genetic algorithms optimized machine operating parameters, resulting in minimum WBV levels. The highly accurate Multilayer Feed-Forward Artificial Neural Network model (2-10-1) had a correlation (R) of 0.996 and a low mean-squared error of 0.198. This research underscores the effectiveness of seat isolators in reducing vibrations and highlights the importance of considering both seat design and engine speed, especially concerning gender-specific differences in vibration tolerance. It provides valuable insights for improving the comfort and safety of self-propelled machinery operators in agriculture.

中文翻译：

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小型联合收割机操作过程中实时振动暴露的生物力学分析：混合 ANN-GA 方法

这项研究的重点是设计和评估符合人体工程学的自走式机械座椅，以减少男性和女性农业工人的全身振动（WBV）暴露。选择没有肌肉骨骼疾病的受试者，并分析他们的人体测量参数。考虑到人体测量尺寸和减振功能，开发并测试了符合人体工程学的精致座椅。使用压电材料的隔振器提高了操作员的舒适度。在实验室实验中，使用各种座椅类型和发动机转速收集实时三分之一倍频程 WBV 数据。在 1200 rpm 时，女性操作员的 WBV 水平在 3.42 至 13.40 m/s² 之间，而男性操作员的 WBV 水平在 3.13 至 12.20 m/s² 之间。在 1600 rpm 时，雌性 (T-1) 的 WBV 水平为 20.20–42.39 m/s²，雄性记录为 18.90–40.12 m/s²。在 2000 rpm (T-1) 时，女性操作员 WBV 范围为 246.71 至 303.45 m/s²，男性操作员 WBV 范围为 248.10 至 300.13 m/s²。在 2400 rpm (T-1) 时，女性操作员的 WBV 为 385.29 至 457.87 m/s²，男性操作员的 WBV 为 381.57 至 445.50 m/s²。人工神经网络和遗传算法的集成方法优化了机器操作参数，从而实现最低的 WBV 水平。高精度多层前馈人工神经网络模型 (2-10-1) 的相关性 ( R ) 为 0.996，均方误差较低，为 0.198。这项研究强调了座椅隔离器在减少振动方面的有效性，并强调了考虑座椅设计和发动机转速的重要性，特别是考虑到性别差异的振动耐受性。它为提高农业自走式机械操作员的舒适度和安全性提供了宝贵的见解。