A. S. Soldatov, Sergei Vladimirovich Maslov, Yurii Aleksandrovich Kukushkin
{"title":"自动信息系统,用于测试配备了基于诊断机组人员功能状态的夜视系统的直升机","authors":"A. S. Soldatov, Sergei Vladimirovich Maslov, Yurii Aleksandrovich Kukushkin","doi":"10.7256/2454-0714.2022.1.24631","DOIUrl":null,"url":null,"abstract":"\n The subject of the study is the problem of ensuring optimal conditions for interaction between humans and aviation equipment in the interests of ensuring its safe operation, which has recently become more acute. Based on studies of the pilot's activity obtained during flight tests of helicopters equipped with night vision goggles, it is shown that the use of night vision goggles imposes special requirements on the organization of attention distribution, spatial orientation and is accompanied by an increase in the level of nervous and emotional tension. The main results of foreign developers on the improvement of night vision systems related to the introduction of technical vision systems on helicopters are described. It is proved that for an objective examination of such systems in flight tests, it is necessary to create a special automated information system. The developed automated information system provides the collection and processing of flight information during flight tests using intelligent sensors for monitoring and recording the biometrics of crew members and an image recognition system. It will allow recording, processing and accumulating flight and psychophysiological information in real test flights during the implementation of the entire flight test program, providing specialists in the field of aviation medicine and ergonomics with objective quantitative characteristics of the studied parameters when testing promising night vision systems of combat helicopters. It is shown that the introduction of modern information technologies into the process of testing aviation equipment allows objectively and with high accuracy to analyze and evaluate the content and psychophysiological structure of the pilot's activity based on a comparison of changes in flight parameters, the movement of controls, the direction of the pilot's gaze and his psychophysiological characteristics and recommend for practical use specific variants of night vision systems.\n","PeriodicalId":155484,"journal":{"name":"Программные системы и вычислительные методы","volume":"142 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Automated information system for testing helicopters equipped with night vision systems based on diagnostics of the functional state of the crew\",\"authors\":\"A. S. Soldatov, Sergei Vladimirovich Maslov, Yurii Aleksandrovich Kukushkin\",\"doi\":\"10.7256/2454-0714.2022.1.24631\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n The subject of the study is the problem of ensuring optimal conditions for interaction between humans and aviation equipment in the interests of ensuring its safe operation, which has recently become more acute. Based on studies of the pilot's activity obtained during flight tests of helicopters equipped with night vision goggles, it is shown that the use of night vision goggles imposes special requirements on the organization of attention distribution, spatial orientation and is accompanied by an increase in the level of nervous and emotional tension. The main results of foreign developers on the improvement of night vision systems related to the introduction of technical vision systems on helicopters are described. It is proved that for an objective examination of such systems in flight tests, it is necessary to create a special automated information system. The developed automated information system provides the collection and processing of flight information during flight tests using intelligent sensors for monitoring and recording the biometrics of crew members and an image recognition system. It will allow recording, processing and accumulating flight and psychophysiological information in real test flights during the implementation of the entire flight test program, providing specialists in the field of aviation medicine and ergonomics with objective quantitative characteristics of the studied parameters when testing promising night vision systems of combat helicopters. It is shown that the introduction of modern information technologies into the process of testing aviation equipment allows objectively and with high accuracy to analyze and evaluate the content and psychophysiological structure of the pilot's activity based on a comparison of changes in flight parameters, the movement of controls, the direction of the pilot's gaze and his psychophysiological characteristics and recommend for practical use specific variants of night vision systems.\\n\",\"PeriodicalId\":155484,\"journal\":{\"name\":\"Программные системы и вычислительные методы\",\"volume\":\"142 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Программные системы и вычислительные методы\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.7256/2454-0714.2022.1.24631\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Программные системы и вычислительные методы","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.7256/2454-0714.2022.1.24631","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Automated information system for testing helicopters equipped with night vision systems based on diagnostics of the functional state of the crew
The subject of the study is the problem of ensuring optimal conditions for interaction between humans and aviation equipment in the interests of ensuring its safe operation, which has recently become more acute. Based on studies of the pilot's activity obtained during flight tests of helicopters equipped with night vision goggles, it is shown that the use of night vision goggles imposes special requirements on the organization of attention distribution, spatial orientation and is accompanied by an increase in the level of nervous and emotional tension. The main results of foreign developers on the improvement of night vision systems related to the introduction of technical vision systems on helicopters are described. It is proved that for an objective examination of such systems in flight tests, it is necessary to create a special automated information system. The developed automated information system provides the collection and processing of flight information during flight tests using intelligent sensors for monitoring and recording the biometrics of crew members and an image recognition system. It will allow recording, processing and accumulating flight and psychophysiological information in real test flights during the implementation of the entire flight test program, providing specialists in the field of aviation medicine and ergonomics with objective quantitative characteristics of the studied parameters when testing promising night vision systems of combat helicopters. It is shown that the introduction of modern information technologies into the process of testing aviation equipment allows objectively and with high accuracy to analyze and evaluate the content and psychophysiological structure of the pilot's activity based on a comparison of changes in flight parameters, the movement of controls, the direction of the pilot's gaze and his psychophysiological characteristics and recommend for practical use specific variants of night vision systems.