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,搭建了人体上肢表面肌电(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对变分模态分解(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%,所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。
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 surface electromyography(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 variational mode decomposition(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 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.
作者
徐勇
吴远旭
姚少广
何小乓
章基辉
吴田
吴晨
Xu Yong;Wu Yuanxu;Yao Shaoguang;He Xiaopang;Zhang Jihui;Wu Tian;Wu Chen(State Grid Jinhua Power Supply Company,Jinhua 321017,China;Jinhua Power Transmission and Transformation Engineering Co.Ltd.Sanwei Jindong Electric Power Branch Company,Jinhua 321015,China;College of Electrical Engineering and New Energy,China Three Gorges University,Yichang 443002,China)
出处
《国外电子测量技术》
2024年第11期127-134,共8页
Foreign Electronic Measurement Technology
基金
国网浙江省电力有限公司集体企业科技项目
国家自然科学基金(51807110)项目资助。
关键词
带电作业
绝缘手套
表面肌电信号
麻雀搜索算法
变分模态分解
live working
insulating gloves
surface electromyography
sparrow search algorithm
variational mode decomposition
