The status of an operator’s situation awareness is one of the critical factors that influence the quality of the missions.Thus the measurement method of the situation awareness status is an important topic to researc...The status of an operator’s situation awareness is one of the critical factors that influence the quality of the missions.Thus the measurement method of the situation awareness status is an important topic to research.So far,there are lots of methods designed for the measurement of situation awareness status,but there is no model that can measure it accurately in real-time,so this work is conducted to deal with such a gap.Firstly,collect the relevant physiological data of operators while they are performing a specific mission,simultaneously,measure their status of situation awareness by using the situation awareness global assessment technique(SAGAT),which is known for accuracy but cannot be used in real-time.And then,after the preprocessing of the raw data,use the physiological data as features,the SAGAT’s results as a label to train a fuzzy cognitive map(FCM),which is an explainable and powerful intelligent model.Also,a hybrid learning algorithm of particle swarm optimization(PSO)and gradient descent is proposed for the FCM training.The final results show that the learned FCM can assess the status of situation awareness accurately in real-time,and the proposed hybrid learning algorithm has better efficiency and accuracy.展开更多
为探究地铁深基坑施工安全风险因素动态作用规律,科学预防施工安全事故,针对目前缺乏因素系统识别、因果关系量化和动态推理分析等共性问题,提出一种基于决策试验和评估实验室(Decision Making Trial and Evaluation Laboratory DEMATEL...为探究地铁深基坑施工安全风险因素动态作用规律,科学预防施工安全事故,针对目前缺乏因素系统识别、因果关系量化和动态推理分析等共性问题,提出一种基于决策试验和评估实验室(Decision Making Trial and Evaluation Laboratory DEMATEL)与模糊认知图(Fuzzy Cognitive Map,FCM)的地铁深基坑施工安全风险分析方法。首先,通过理论分析与文献梳理,采用扎根理论识别风险因素;其次,结合专家调研与量化分析,利用DEMATEL方法分析风险因素的因果关系;再次,将DEMATAL决策矩阵转化为FCM模型的交互作用矩阵,展开风险因素的预测与诊断推理分析;最后,选取案例进行实证,验证模型方法的可用性与有效性。结果显示:因素X_(1)(人员安全风险意识)对其他因素的影响程度最高;因素X_(1)(人员安全风险意识)、X_(8)(安全施工组织设计方案)和X_(7)(施工安全风险管理措施)是排名前3的关键风险因素;完善安全施工组织设计方案是最有效的管控对策。展开更多
基金supported by the National Natural Science Foundation of China(61305133)the Aeronautical Science Foundation of China grant number 2020Z023053002.
文摘The status of an operator’s situation awareness is one of the critical factors that influence the quality of the missions.Thus the measurement method of the situation awareness status is an important topic to research.So far,there are lots of methods designed for the measurement of situation awareness status,but there is no model that can measure it accurately in real-time,so this work is conducted to deal with such a gap.Firstly,collect the relevant physiological data of operators while they are performing a specific mission,simultaneously,measure their status of situation awareness by using the situation awareness global assessment technique(SAGAT),which is known for accuracy but cannot be used in real-time.And then,after the preprocessing of the raw data,use the physiological data as features,the SAGAT’s results as a label to train a fuzzy cognitive map(FCM),which is an explainable and powerful intelligent model.Also,a hybrid learning algorithm of particle swarm optimization(PSO)and gradient descent is proposed for the FCM training.The final results show that the learned FCM can assess the status of situation awareness accurately in real-time,and the proposed hybrid learning algorithm has better efficiency and accuracy.
文摘为探究地铁深基坑施工安全风险因素动态作用规律,科学预防施工安全事故,针对目前缺乏因素系统识别、因果关系量化和动态推理分析等共性问题,提出一种基于决策试验和评估实验室(Decision Making Trial and Evaluation Laboratory DEMATEL)与模糊认知图(Fuzzy Cognitive Map,FCM)的地铁深基坑施工安全风险分析方法。首先,通过理论分析与文献梳理,采用扎根理论识别风险因素;其次,结合专家调研与量化分析,利用DEMATEL方法分析风险因素的因果关系;再次,将DEMATAL决策矩阵转化为FCM模型的交互作用矩阵,展开风险因素的预测与诊断推理分析;最后,选取案例进行实证,验证模型方法的可用性与有效性。结果显示:因素X_(1)(人员安全风险意识)对其他因素的影响程度最高;因素X_(1)(人员安全风险意识)、X_(8)(安全施工组织设计方案)和X_(7)(施工安全风险管理措施)是排名前3的关键风险因素;完善安全施工组织设计方案是最有效的管控对策。
