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Research On Fatigue Detecting System Of Air Traffic Controller Based On Cognitive Ability

Posted on:2021-02-07Degree:MasterType:Thesis
Country:ChinaCandidate:Y T LiuFull Text:PDF
GTID:2392330602980533Subject:Carrier Engineering
Abstract/Summary:PDF Full Text Request
In recent years,the workload of air traffic controllers increase with the increase of airspace flow,and the research on fatigue detection technology of controllers is becoming important.As the decision-making body of air traffic apartment,the air traffic controller needs to perceive the operation information of the aircraft in the sector through visual observation and voice call,understand the dynamic situation of the control sector through brain integration,issue control instructions to the pilot using VHF interphone,coordinate with each department,fill in the progress sheet,etc.Every step of the work needs the cognitive ability of the air traffic controller to cooperate,so it is important to integrate the cognitive ability of the controller to establish the fatigue detection system.First of all,the paper studied and summarized the rules and regulations,competency and work requirements of controllers.Combined with cognitive ability,the paper preliminarily establishes the cognitive ability dimension of controllers through word frequency analysis,which consists of seven levels,namely,memory,attention,computing ability,spatial ability,reasoning ability,perception ability and understanding ability.Through two rounds of questionnaires,the cognitive ability of the controller under fatigue condition is determined.There are four levels: memory,attention,computing ability and spatial ability.Secondly,according to the cognitive ability that affects the work of controllers under the extracted fatigue state,a controller fatigue detection system based on cognitive change is designed by combining the neural behavior cognitive state test and neural behavior core test.At the same time,in order to induce the subjects to appear fatigue state,this study designed fatigue induction experiment based on n-back task,both of which were developed by JavaScript and HTML programming language.The subjects were required to test the level of fatigue based on cognitive change and score with mental fatigue(RSME)scale in the process of fatigue induced experiment,so as to obtain experimental data for analysis.Finally,the feasibility of controller fatigue detection system is verified by rsme,and a 4-level risk early warning system for controller fatigue is established.And through the fatigue induced experiment,it is also found that the fatigue changes show a certain regularity,which provides a certain theoretical basis for future fatigue research.According to the research of controller fatigue detecting system with the change of cognitive ability,it is proved that the detection method is short-term and efficient,which avoids the problems of traditional physiological measurement method,such as low portability and low objectivity.Therefore,the detection system can be embedded in the actual work of the controller,and can measure and evaluate the fatigue risk of the air traffic controller in real working time.
Keywords/Search Tags:Air traffic controller, Fatigue induction, Cognitive ability, Fatigue detection system, RSME
PDF Full Text Request
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