| At the end of 2019,the new crown pneumonia epidemic has had a major impact on the global economy,production and life.General Secretary Xi emphasized at the Politburo meeting that we must pay close attention to the normalization of epidemic prevention and control.Nowadays,normalized epidemic prevention and control has become an important task.Body temperature detection is the first detection method for epidemic prevention and control,and it is also an important reference basis.In traditional temperature measurement methods,infrared temperature measurement methods are widely used.Infrared temperature measurement has good temperature measurement efficiency,and it may be shaded indoors.In the shed scene,a certain degree of accuracy of temperature measurement can be guaranteed.However,infrared temperature measurement methods are susceptible to interference from high-temperature environments,and not only have a large number of false alarms,but also have the disadvantages of not supporting group temperature measurement,and abnormal body temperature cannot be alerted and traced in time.At the same time,infrared temperature measurement methods such as forehead guns require manual assistance.This paper designs a wearable non-contact temperature measurement system based on UHF(Ultra High Frequency)RFID technology.The system is designed to help epidemic prevention and control and solve the problems of inaccurate temperature measurement and low temperature measurement efficiency in traditional temperature measurement methods during the epidemic.1.Aiming at the problem that the UHF RFID tag antenna is affected by the human environment,an anti-human UHF RFID tag antenna is optimized.By adjusting and optimizing the impedance matching between the tag chip and the tag antenna,the identification distance of the tag attached to the surface of the human body is increased to More than 1 meter,so that the system can meet the needs of non-contact temperature measurement during the epidemic.2.Aiming at the body surface temperature is easily affected by the environmental temperature,and there is a difference between the wrist temperature and the medically approved body temperature(underarm body temperature),a body temperature fitting algorithm based on non-parametric statistics is designed to increase the temperature fitting environment The temperature correction realizes a high-precision fitting from wrist temperature to armpit body temperature.3.Aiming at the problem that people with abnormal body temperature cannot alert and trace the source in time,a large body temperature data display platform and identity binding mechanism are designed.Real-time abnormal body temperature alarms can be carried out on the data visualization platform,and the closeness of people with abnormal body temperature can be found through the positioning algorithm.Contacts,so that the body temperature data can be traced.At present,the temperature measurement system has been put into pilot application,and won the second prize of the National Graduate Electronic Design Competition,and the cooperative unit won the gold medal of the 14th International Internet of Things Exhibition.It provides an effective and reliable solution for the current epidemic prevention and control and prevention of epidemic viruses. |