Coronary virus intelligent monitoring garment

Abstract

The invention discloses a coronavirus intelligent monitoring garment. The coronavirus intelligent monitoring garment comprises a garment body, a plurality of coating detection modules, a plurality ofsensor modules, a control unit and an smart mobile phone terminal, wherein the coating detection module, the sensor module and the control unit are arranged on the garment body, the coating detectionmodule collects sweat and detects the sweat, the sensor module collects the detection result information and transmits the detection result information to the control unit, the control unit analyzes and screens data, collects travel track positioning data and sends the data to the smart phone terminal through Bluetooth or a network, and a user can monitor the health condition through the smart phone terminal to complete health condition evaluation and early warning. According to the coronavirus intelligent monitoring garment, corresponding coronavirus immune protein existing in sweat is detected, and a mode of combining colloidal gold detection with a sensor is adopted to realize that a user completes preliminary home detection by himself / herself, so online monitoring of a user and real-time monitoring, evaluation, early warning and screening of crowds are completed.

Description

technical field [0001] The invention belongs to the field of sensor technology and biological coating materials, and relates to a coronavirus intelligent monitoring clothing. Background technique [0002] Coronavirus is one of the main pathogenic microorganisms that commonly infect humans and cause health hazards. With the development of the epidemic, a variety of nucleic acid detection methods for new coronaviruses have been rapidly developed at home and abroad, most of which are based on real-time fluorescent quantitative PCR (qPCR) ) technology, in addition, there are a lot of rapid genetic detection technologies launched, such as on-site rapid test (POCT) technology, card-type fluorescent PCR technology, etc., and these technologies need to be carried out in laboratories with conditions and qualifications. Equipment, personnel , Operation requirements are high, and it takes a long time. Zhang Wenjian and others pointed out that the collection of nucleic acid testing is ...

AI Technical Summary

Problems solved by technology

[0002] Coronavirus is one of the main pathogenic microorganisms that commonly infect humans and cause health hazards. With the development of the epidemic, a variety of nucleic acid detection methods for new coronaviruses have been rapidly developed at home and abroad, most of which are based on real-time fluorescent quantitative PCR (qPCR) ) technology, in addition, there are a lot of rapid genetic detection technologies launched, such as on-site rapid test (POCT) technology, card-type fluorescent PCR technology, etc., and these technologies need to be carried out in laboratories with conditions and qualifications. Equipment, personnel , high operating requirements, long duration

Zhang Wenjian and others pointed out that the collection of nucleic acid testing is mainly based on nasopharyngeal swabs. Improper sampling and different viral loads in different parts can easily lead to poor sample quality, resulting in false negative results.

[0003] "An Epidemic Monitoring Method and System Based on a Wearable Body Temperature Sensor" by Li Guanhua et al. This invention provides an epidemic monitoring method and system based on a wearable body temperature sensor, but monitoring the epidemic through body temperature is unscientific and inaccurate

[0004] "An Information Security Monitoring System Based on Big Data" by Huang Zhenjin and others discloses an information security monitoring system based on big data. There is no detection technology at the front end of the existing big data technology, only regional mapping and reporting, big data monitoring technology There are deficiencies such as false reports by the user, those who do not report their own physical status and cannot track the user's movement trajectory. At the same time, in the path of the confirmed patient, there is no automatic alarm to notify other people who may have overlapping movement trajectories. Currently looking for suspected In the trajectory of people in contact with people, special staff or the police need to screen the trajectory of suspected cases

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