Human body fever symptom monitoring method and system

Abstract

The invention discloses a human body fever symptom monitoring method. The method comprises the following steps: S1, embedding a body temperature measuring module and a travel track monitoring module into a mobile terminal; s2, establishing cloud big data according to the body temperature measurement data and the travel track monitoring data of the mobile terminal; s3, setting grading warning according to the cloud big data, performing grading identification on people whose body temperature measurement data exceeds a set threshold, and prompting self-isolation and notifying a medical port. In the present invention, the body temperature of a person is measured through the body temperature measuring module, the position and travel progress of the person are monitored through the travel trackmonitoring module, and related body temperature measurement data and travel track monitoring data are transmitted to the cloud to form cloud big data; therefore, the body temperature and the positionof related personnel can be conveniently monitored when necessary, the related personnel can be rapidly notified to carry out self-isolation and medical terminals such as medical institutions to carryout related treatment, and rapid statistics in special time and related supervision work are facilitated.

Description

technical field [0001] The invention relates to the monitoring field, in particular to a method for monitoring human body fever symptoms, and further relates to a human body fever symptom monitoring system. Background technique [0002] Influenza A, SARS, plague and other sudden acute infectious diseases seriously affect social stability and pose a major threat to human health. Due to the highly developed transportation system in today's world, the rapid population flow and the wide flow area, it provides extremely convenient conditions for the spread of acute infectious diseases. Isolation is one of the most effective measures for humans to deal with acute infectious diseases. Isolation can cut off the spread of pathogens and prevent cross-infection. In the case of extensive and rapid flow of people, it is necessary to identify and monitor patients or latent persons in the vast crowds, and at the same time learn their travel trajectories, and identify and isolate those who...

AI Technical Summary

Problems solved by technology

At present, body temperature detection at stations and airports where people flow and gather is an effective way to control the spread of the epidemic, but it is not efficient and covers a limited number of people; and it is impossible to actively obtain the itinerary of relevant personnel, which is not conducive to the discovery and detection of other people who may be infected. early warning

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