Yanfei Liu, Chao Shen, Junsong Liu, Feng Fu, Yuzhou Liu
{"title":"基于行为检测的核电站机组人员态势感知监测与模型过程逆向","authors":"Yanfei Liu, Chao Shen, Junsong Liu, Feng Fu, Yuzhou Liu","doi":"10.54941/ahfe1003293","DOIUrl":null,"url":null,"abstract":"Based on on-site operator’s control behavior and model’s consequential behavior & cognitive process’ retroaction (MBPR), a situation awareness detection method is proposed for crew members of nuclear power plant control room. Firstly, the cognitive models are built depending on of operator’s control knowledge, cognitive characteristic parameters and working environment’s. The cognitive model itself reflects the cognitive process and cognitive characteristics of the operator under that specific working conditions, and model’s consequential behavior embodies the operator’s cognitive characteristic and the selected procedural knowledge. From this point, the model’s consequential behavior is the representation of the operator’s procedural knowledge and operator’s certain cognitive characteristics. With this method, the on-site operator’s behavior can be captured and applied to compare model’s behaviour. Then by retroacting the model’s procedure, the operator’s cognitive characteristic and selected procedural knowledge at the moment can be obtained through tracing back the model’s behavior to its procedure. Finally, the operator’s cognitive characteristic and selected procedural knowledge are unearthed, and it can be as the representation of crew member’s cognitive status.","PeriodicalId":285612,"journal":{"name":"Cognitive Computing and Internet of Things","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Situation Awareness Monitoring by Behaviour Detection and Model’s Processes Retroaction for Crew Member of Nuclear Power Plant\",\"authors\":\"Yanfei Liu, Chao Shen, Junsong Liu, Feng Fu, Yuzhou Liu\",\"doi\":\"10.54941/ahfe1003293\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Based on on-site operator’s control behavior and model’s consequential behavior & cognitive process’ retroaction (MBPR), a situation awareness detection method is proposed for crew members of nuclear power plant control room. Firstly, the cognitive models are built depending on of operator’s control knowledge, cognitive characteristic parameters and working environment’s. The cognitive model itself reflects the cognitive process and cognitive characteristics of the operator under that specific working conditions, and model’s consequential behavior embodies the operator’s cognitive characteristic and the selected procedural knowledge. From this point, the model’s consequential behavior is the representation of the operator’s procedural knowledge and operator’s certain cognitive characteristics. With this method, the on-site operator’s behavior can be captured and applied to compare model’s behaviour. Then by retroacting the model’s procedure, the operator’s cognitive characteristic and selected procedural knowledge at the moment can be obtained through tracing back the model’s behavior to its procedure. Finally, the operator’s cognitive characteristic and selected procedural knowledge are unearthed, and it can be as the representation of crew member’s cognitive status.\",\"PeriodicalId\":285612,\"journal\":{\"name\":\"Cognitive Computing and Internet of Things\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cognitive Computing and Internet of Things\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.54941/ahfe1003293\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cognitive Computing and Internet of Things","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.54941/ahfe1003293","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Situation Awareness Monitoring by Behaviour Detection and Model’s Processes Retroaction for Crew Member of Nuclear Power Plant
Based on on-site operator’s control behavior and model’s consequential behavior & cognitive process’ retroaction (MBPR), a situation awareness detection method is proposed for crew members of nuclear power plant control room. Firstly, the cognitive models are built depending on of operator’s control knowledge, cognitive characteristic parameters and working environment’s. The cognitive model itself reflects the cognitive process and cognitive characteristics of the operator under that specific working conditions, and model’s consequential behavior embodies the operator’s cognitive characteristic and the selected procedural knowledge. From this point, the model’s consequential behavior is the representation of the operator’s procedural knowledge and operator’s certain cognitive characteristics. With this method, the on-site operator’s behavior can be captured and applied to compare model’s behaviour. Then by retroacting the model’s procedure, the operator’s cognitive characteristic and selected procedural knowledge at the moment can be obtained through tracing back the model’s behavior to its procedure. Finally, the operator’s cognitive characteristic and selected procedural knowledge are unearthed, and it can be as the representation of crew member’s cognitive status.