Method of intelligent temperature measurement Internet of Things big data early warning platform

Abstract

The invention discloses a method of an intelligent temperature measurement Internet of Things big data early warning platform. The invention discloses an Internet of Things platform for networking temperature measuring points. The method comprises the steps of obtaining temperature measurement data of an individual at different time and different places; and correcting the temperature measurementtime point of one day, and self-training the body temperature threshold of the individual. One temperature measurement point intelligent control center is connected with a plurality of groups of facerecognition units and infrared temperature measurement units, so that the temperature measurement efficiency is improved; in addition, the display mode that the smart bracelet is connected with the smart client serves as an auxiliary technical means for temperature measurement safety passage, and the passage efficiency of temperature measurement safety is improved.

Description

technical field [0001] The invention relates to the field of information technology, in particular to a method for an intelligent temperature measurement Internet of Things big data early warning platform. Background technique [0002] On the one hand, the temperature of the human body is relatively constant, and the body temperature of normal people fluctuates slightly within 24 hours, and the difference generally does not exceed 1 degree. Under physiological conditions, body weight is slightly lower in the morning and slightly higher in the afternoon. The range of normal body temperature fluctuations between individuals can reach 2.7 degrees, and the body temperature of each person can vary by 0.6 degrees at different times of the day. The body temperature of normal people is the lowest at 6 o'clock in the morning and the highest at 4 o'clock in the afternoon. General temperature measurement warnings do not take into account the fluctuations in body temperature. However, ...

AI Technical Summary

Problems solved by technology

The range of normal body temperature fluctuations between individuals can reach 2.7 degrees, and the body temperature of each person can vary by 0.6 degrees at different times of the day. The body temperature of normal people is the lowest at 6 o'clock in the morning and the highest at 4 o'clock in the afternoon. General temperature measurement warnings do not take into account the fluctuations in body temperature. However, uniformly adopting a threshold value, not to mention the differences in individual body temperature, often cannot provide early warning with high accuracy.

Most of the existing technical solutions for temperature measurement are not connected to the Internet, and the temperatures measured by individuals at different times and places cannot be coordinated, nor can they be corrected by taking into account the errors caused by the environment and human characteristics, so as to more accurately reflect the following The change trend of the individual's own temperature reflects the normal condition of the body, and issues accurate and effective early warnings

[0003] On the other hand, the method of manual or equipment temperature measurement and release at the temperature measurement point will cause inefficiency, blockage and confusion of the flow of people. If it is a safety measure in the application scenario of epidemic prevention, it will increase the infection risk of group aggregation

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