Study on Intelligent Early Warning System of Railway Locomotive Driver Operation State
In order to solve the online real-time monitoring problems on railway locomotive driver operation state, face image tracking and human pupil biological image recognition technology was applied, and vehicle intelligent detection device, data transmission system and ground on line analysis system was...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | zho |
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Editorial Department of Electric Drive for Locomotives
2018-01-01
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| Series: | 机车电传动 |
| Subjects: | |
| Online Access: | http://edl.csrzic.com/thesisDetails#10.13890/j.issn.1000-128x.2018.02.011 |
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| _version_ | 1850142741970812928 |
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| author | QU Surong ZHANG Zhongyang ZHANG Xianfeng |
| author_facet | QU Surong ZHANG Zhongyang ZHANG Xianfeng |
| author_sort | QU Surong |
| collection | DOAJ |
| description | In order to solve the online real-time monitoring problems on railway locomotive driver operation state, face image tracking and human pupil biological image recognition technology was applied, and vehicle intelligent detection device, data transmission system and ground on line analysis system was designed. Through the system software coordinated control, the locomotive driver operation state intelligent early warning system was constructed, which realized automation on the all-weather online real-time tracking monitoring, early warning, analysis and intervention. |
| format | Article |
| id | doaj-art-eaafb9eeac74428f98119019a51fc6dc |
| institution | OA Journals |
| issn | 1000-128X |
| language | zho |
| publishDate | 2018-01-01 |
| publisher | Editorial Department of Electric Drive for Locomotives |
| record_format | Article |
| series | 机车电传动 |
| spelling | doaj-art-eaafb9eeac74428f98119019a51fc6dc2025-08-20T02:28:58ZzhoEditorial Department of Electric Drive for Locomotives机车电传动1000-128X2018-01-01495220913079Study on Intelligent Early Warning System of Railway Locomotive Driver Operation StateQU SurongZHANG ZhongyangZHANG XianfengIn order to solve the online real-time monitoring problems on railway locomotive driver operation state, face image tracking and human pupil biological image recognition technology was applied, and vehicle intelligent detection device, data transmission system and ground on line analysis system was designed. Through the system software coordinated control, the locomotive driver operation state intelligent early warning system was constructed, which realized automation on the all-weather online real-time tracking monitoring, early warning, analysis and intervention.http://edl.csrzic.com/thesisDetails#10.13890/j.issn.1000-128x.2018.02.011locomotive driveroperation stateface image trackingpupil image recognition technologyintelligent early warning |
| spellingShingle | QU Surong ZHANG Zhongyang ZHANG Xianfeng Study on Intelligent Early Warning System of Railway Locomotive Driver Operation State 机车电传动 locomotive driver operation state face image tracking pupil image recognition technology intelligent early warning |
| title | Study on Intelligent Early Warning System of Railway Locomotive Driver Operation State |
| title_full | Study on Intelligent Early Warning System of Railway Locomotive Driver Operation State |
| title_fullStr | Study on Intelligent Early Warning System of Railway Locomotive Driver Operation State |
| title_full_unstemmed | Study on Intelligent Early Warning System of Railway Locomotive Driver Operation State |
| title_short | Study on Intelligent Early Warning System of Railway Locomotive Driver Operation State |
| title_sort | study on intelligent early warning system of railway locomotive driver operation state |
| topic | locomotive driver operation state face image tracking pupil image recognition technology intelligent early warning |
| url | http://edl.csrzic.com/thesisDetails#10.13890/j.issn.1000-128x.2018.02.011 |
| work_keys_str_mv | AT qusurong studyonintelligentearlywarningsystemofrailwaylocomotivedriveroperationstate AT zhangzhongyang studyonintelligentearlywarningsystemofrailwaylocomotivedriveroperationstate AT zhangxianfeng studyonintelligentearlywarningsystemofrailwaylocomotivedriveroperationstate |