摘要
高铁调度员的工作负荷与脑力认知资源的占用水平密切相关,过高的工作负荷会影响高铁调度员的工作状态,进而影响高速铁路的运营安全。因此该文设计了一种实时监控高铁调度员工作负荷的实验方法,通过识别高铁调度员的工作负荷等级,提示其及时休息或采取相应安全措施。实验以高铁调度员的主观负荷值、认知资源占用量、工作任务量3项指标为工作负荷的标定指标,以高铁调度工作内容为基础,参照oddball范式,诱发脑电事件相关点位P300成分,并从中提取时域、频域、非线性特征3类指标;以支持向量机为工作负荷识别模型,对脑电信号样本训练集数据进行训练学习,对样本训练集数据的工作负荷等级进行判定,最终得出脑电信号不同特征下的识别准确率、灵敏度数据,以此判定其识别效果。
The workload of high-speed railway dispatchers is closely related to the occupation level of mental cognitive resources.Excessive workload will affect the working state of high-speed railway dispatchers,and then affect the operation safety of high-speed railway.Therefore,this paper designs an experimental method of real-time monitoring the workload of high-speed railway dispatchers to identify the workload level of high-speed railway dispatchers,so as to prompt them to rest in time or take corresponding safety measures.The subjective load value,proportion of cognitive resources and amount of work tasks of high-speed railway dispatchers are taken as the calibration indicators of work load in this experiment.Based on the content of high-speed railway dispatching and referring to the oddball paradigm,P300 components of EEG events are induced,and three kinds of indicators of time domain,frequency domain and nonlinear characteristics are extracted.Taking support vector machine as the workload recognition model,the EEG sample training set data is trained and studied,and the workload level of the sample training set data is determined.Finally,the recognition accuracy and sensitivity under different characteristics of EEG are obtained,so as to determine its recognition effect.
作者
张光远
邓一平
王亚伟
ZHANG Guangyuan;DENG Yiping;WANG Yawei(National Engineering Laboratory of Integrated Transportation Big Data Application Technology,National and Local Joint Engineering Laboratory of Integrated Transportation Intelligence,School of Transportation and Logistics,Southwest Jiaotong University,Chengdu 610031,China)
出处
《实验技术与管理》
CAS
北大核心
2022年第10期18-23,48,共7页
Experimental Technology and Management
基金
四川省科技计划项目应用基础研究(2021YJ0043)
西南交通大学本科教育教学研究与改革项目(2103065,1802047)。
