基于ISSA-BP的带电作业绝缘手套舒适性评估研究
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1.国网金华供电公司;2.金华送变电工程有限公司三为金东电力分公司;3.三峡大学电气与新能源学院

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TM84;TN911

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国家自然科学基金项目(面上项目,重点项目,重大项目)


Research on comfortability evaluation of insulating gloves for live work based on ISSA-BP
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    摘要:

    针对配网带电作业绝缘手套舒适性缺少客观和量化评估方法的问题,提出了一种基于改进麻雀算法(Improved Sparrow Search Algorithm,ISSA)优化BP神经网络的舒适性评估方法。针对配网带电作业常用的绝缘手套,选取了3种类型绝缘手套作为评估对象,搭建了人体上肢sEMG信号测试平台,采集了典型作业工况下被试者穿戴绝缘手套后右臂肱二头肌的sEMG信号,通过ISSA对VMD和BP的关键参数进行优化,构建了基于ISSA-BP的带电作业用绝缘手套舒适性评估模型。结果表明:ISSA较SSA有效提升了BP预测准确率和VMD分解效果,被试者穿戴不同绝缘手套时sEMG特征参数和舒适度差异显著,舒适性评估模型其准确率达到94.9%,本文提出的舒适性量化评估方法为配网绝缘手套的改进以及人员防护提供了依据。

    Abstract:

    The work aims to solve the problem that there is no objective and quantitative evaluation method for the comfortability of insulating gloves used in live workings of distribution network,a comfortability evaluation method based on Improved Sparrow Search Algorithm(ISSA) optimized BP are proposed.Aiming at the insulation gloves commonly used in live work,three types of insulation gloves were selected as the evaluation objects,and a human upper limb sEMG signal testing platform was built.By collecting the sEMG signal of the right biceps brachii after the subjects wear insulating gloves under typical working conditions.ISSA is adopted to optimize the BP and VMD key parameters,and the comfortability evaluation model of insulating gloves for live workings based on ISSA-BP.Compared with SSA,ISSA effectively improve BP prediction accuracy and VMD decomposition effect.sEMG characteristic parameters and comfortability degree of subjects wearing different insulation gloves are significantly different,and the accuracy of comfortability evaluation model reached 94.9%.The quantitative evaluation method of comfort proposed in this paper provides a basis for the improvement of network insulation gloves and personnel protection.

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  • 收稿日期:2024-09-13
  • 最后修改日期:2024-11-11
  • 录用日期:2024-11-12
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