Electronic equipment, thermal comfort detection method, detection device and storage medium

Abstract

The invention provides electronic equipment, a thermal comfort detection method, a detection device and a storage medium. The detection method comprises the following steps: acquiring the internal temperature of the electronic equipment; using a normalization method to calculate the external temperature of the electronic equipment; acquiring external humidity of the electronic equipment; and calculating the wet bulb temperature index of the environment where the electronic equipment is located by using a wet bulb fitting method. According to the thermal comfort detection method provided by the embodiment of the invention, the temperature and humidity information measured by the electronic equipment is converted into the thermal comfort index of the human body by utilizing the heat dissipation similarity relationship between the electronic equipment and the thermal sensing organ of the human body, and the initial temperature and humidity data is obtained by utilizing the built-in temperature and humidity sensor of the electronic equipment; then the wet bulb temperature index of the environment where the electronic equipment (namely the human body) is located is obtained through a fitting algorithm, and the method has the advantages that the needed sensor is simple in structure and accurate in calculation; the method greatly facilitates the user to obtain real-time and accurate thermal comfort evaluation information of the environment where the user is located.

Description

technical field [0001] The present invention relates to the technical field of an environmental thermal comfort detection method based on electronic equipment, in particular to an electronic equipment, a thermal comfort detection method, a detection device, and a storage medium. Background technique [0002] Wet bulb temperature WBGT (Wet Bulb-Globe Temperature) is a basic parameter for comprehensively evaluating the heat load of the basic working environment of the human body. The unit is Celsius, and it is used to evaluate the average thermal conformity of the environment to the human body. It is calculated by using the natural wet bulb temperature (tnw) and black bulb temperature (tg), and the air dry bulb temperature (ta) is measured in the open air, and the WBGT index is calculated according to (1) and formula (2): [0003] --No solar radiation indoors and outdoors: [0004] WGBT=0.7tnw+0.3tg----------------------(1) [0005] -- There is solar radiation outside [00...

AI Technical Summary

Problems solved by technology

[0009] The data provided by the weather APP is based on meteorological test equipment, and the feedback is the WBGT index of typical outdoor areas, but cannot reflect the WGBT index under indoor and other environmental conditions (the user's real environment, such as office, home, etc.). After the environment of the human body or the regional environment changes, the WBGT index obtained remotely through the network cannot be updated in time, and the temperature and humidity meteorological APP of the indoor environment cannot measure and obtain data. Therefore, the electronic equipment (weather APP solution) in conventional technology ) cannot provide the temperature and humidity comfort information of the user's real environment

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