{"title":"基于红外测温的机场自动检测消毒通道","authors":"F. Feng, Yang Yang, Y. Hu, Wangdi Du, Sihan Chen","doi":"10.1109/YAC51587.2020.9337664","DOIUrl":null,"url":null,"abstract":"With the return of passengers to return to work, the airport has a huge flow of people at the entrance and exit. The existing airport detection and disinfection system is generally not intelligent enough, and the development of passenger health information registration is minimal, which often leads to problems such as missing disinfection and temperature measurement, time-consuming, low efficiency, and difficulty in establishing passenger health information databases. In order to solve such problems and make the airport detection and disinfection system more suitable for the “strict prevention” and “fine control” stages of epidemic prevention and control, this paper designs and develops an airport automatic detection and disinfection channel with the function of recording passengers' health information. STM32 processor, MLX90614 non-contact temperature measurement module, DY-SV5W intelligent voice module, TFT LCD module, infrared switch module, information registration module, camera module, etc. are mounted on the existing ultrasonic atomization disinfection system. At the same time, considering that the radiation from the background environment will interfere with the measurement results and cause certain errors, this paper selects a BP neural network algorithm, which has high fault tolerance and strong generalization ability to compensate the ambient temperature to improve the accuracy of temperature measurement. Through the combination of system software and hardware circuits, a series of functions such as information registration, guiding passengers in and out, infrared temperature measurement, and quarantine disinfection can be realized. Passengers with suspected infection due to abnormal body temperature can be separately identified to ensure the health of people entering and leaving and ease the manual inspection of airport quarantine personnel, disinfection, registration pressure. The function of the system tends to be more perfect, more intelligent and humanized.","PeriodicalId":287095,"journal":{"name":"2020 35th Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Airport Automatic Detection and Disinfection Channel based on Infrared Temperature Measurement\",\"authors\":\"F. Feng, Yang Yang, Y. Hu, Wangdi Du, Sihan Chen\",\"doi\":\"10.1109/YAC51587.2020.9337664\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the return of passengers to return to work, the airport has a huge flow of people at the entrance and exit. The existing airport detection and disinfection system is generally not intelligent enough, and the development of passenger health information registration is minimal, which often leads to problems such as missing disinfection and temperature measurement, time-consuming, low efficiency, and difficulty in establishing passenger health information databases. In order to solve such problems and make the airport detection and disinfection system more suitable for the “strict prevention” and “fine control” stages of epidemic prevention and control, this paper designs and develops an airport automatic detection and disinfection channel with the function of recording passengers' health information. STM32 processor, MLX90614 non-contact temperature measurement module, DY-SV5W intelligent voice module, TFT LCD module, infrared switch module, information registration module, camera module, etc. are mounted on the existing ultrasonic atomization disinfection system. At the same time, considering that the radiation from the background environment will interfere with the measurement results and cause certain errors, this paper selects a BP neural network algorithm, which has high fault tolerance and strong generalization ability to compensate the ambient temperature to improve the accuracy of temperature measurement. Through the combination of system software and hardware circuits, a series of functions such as information registration, guiding passengers in and out, infrared temperature measurement, and quarantine disinfection can be realized. Passengers with suspected infection due to abnormal body temperature can be separately identified to ensure the health of people entering and leaving and ease the manual inspection of airport quarantine personnel, disinfection, registration pressure. The function of the system tends to be more perfect, more intelligent and humanized.\",\"PeriodicalId\":287095,\"journal\":{\"name\":\"2020 35th Youth Academic Annual Conference of Chinese Association of Automation (YAC)\",\"volume\":\"43 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-10-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 35th Youth Academic Annual Conference of Chinese Association of Automation (YAC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/YAC51587.2020.9337664\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 35th Youth Academic Annual Conference of Chinese Association of Automation (YAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/YAC51587.2020.9337664","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Airport Automatic Detection and Disinfection Channel based on Infrared Temperature Measurement
With the return of passengers to return to work, the airport has a huge flow of people at the entrance and exit. The existing airport detection and disinfection system is generally not intelligent enough, and the development of passenger health information registration is minimal, which often leads to problems such as missing disinfection and temperature measurement, time-consuming, low efficiency, and difficulty in establishing passenger health information databases. In order to solve such problems and make the airport detection and disinfection system more suitable for the “strict prevention” and “fine control” stages of epidemic prevention and control, this paper designs and develops an airport automatic detection and disinfection channel with the function of recording passengers' health information. STM32 processor, MLX90614 non-contact temperature measurement module, DY-SV5W intelligent voice module, TFT LCD module, infrared switch module, information registration module, camera module, etc. are mounted on the existing ultrasonic atomization disinfection system. At the same time, considering that the radiation from the background environment will interfere with the measurement results and cause certain errors, this paper selects a BP neural network algorithm, which has high fault tolerance and strong generalization ability to compensate the ambient temperature to improve the accuracy of temperature measurement. Through the combination of system software and hardware circuits, a series of functions such as information registration, guiding passengers in and out, infrared temperature measurement, and quarantine disinfection can be realized. Passengers with suspected infection due to abnormal body temperature can be separately identified to ensure the health of people entering and leaving and ease the manual inspection of airport quarantine personnel, disinfection, registration pressure. The function of the system tends to be more perfect, more intelligent and humanized.