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首页> 外文期刊>Journal Of The South African Institute Of Mining & Metallurgy >Optimizing seat selection for LHDs in the underground mining environment
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Optimizing seat selection for LHDs in the underground mining environment

机译：在地下采矿环境中为LHD优化座位选择

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摘要

Whole-body vibration (WBV) occurs when the human body is supported on a surface that is vibrating. Operators and passengers in mobile machinery are exposed to vibration transferred from the seatpan to the body. Excessive vibration exposure is strongly associated with low back pain, therefore seat selection is important for reducing vibration exposure. Recently, we developed an efficient neural network (NN) algorithm that identified the dynamic properties of suspension seats, and then interrogated the models to predict seatpan vertical accelerations for a variety of skidders in the forestry sector. We have expanded this approach to evaluate the influence of different seats on the WBV exposures from load-haul-dump vehicles in the underground mining environment. Of the five seat models that we tested, our results demonstrated that one particular seat model was best able to attenuate vibrations based on the equivalent daily exposure, A (8), and the corresponding working hours to reach the upper limit of the ISO 2631-1 health guidance caution zone for 8-hour operation. We performed a sensitivity analysis to evaluate the influence of the individual vibration frequency components on the A (8) results for each of the seat models. This analysis revealed that each of the industrial seats responded differently to specific vibration frequencies and explained why the seat selection algorithm matched particular seats to specific vibration environments.
机译：当人体被支撑在振动的表面上时，就会发生全身振动（WBV）。移动机械中的操作员和乘客要承受从座板到身体的振动。过度的振动暴露与下背痛密切相关，因此座椅的选择对于减少振动暴露很重要。最近，我们开发了一种有效的神经网络（NN）算法，该算法可识别悬架座椅的动态特性，然后通过查询模型来预测林业部门各种集材机的座椅底板垂直加速度。我们已经扩展了这种方法，以评估地下采矿环境中不同座椅对自卸车的WBV暴露的影响。在我们测试的五种座椅模型中，我们的结果表明，一种特定的座椅模型能够根据等效的每日暴露量A（8）和相应的工作时间达到ISO 2631- 1个健康指导警告区域，可进行8小时操作。我们进行了敏感性分析，以评估各个座椅模型的各个振动频率分量对A（8）结果的影响。该分析表明，每个工业座椅对特定振动频率的响应都不同，并解释了为什么座椅选择算法将特定座椅与特定振动环境匹配。

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