Severe-cold-area outdoor thermal comfort degree real-time evaluation method based on local correction UTCI

Abstract

The invention provides a severe-cold-area outdoor thermal comfort degree real-time evaluation method based on local correction UTCI. The method comprises the following steps of step1, using an Internet of things cloud platform to establish a severe-cold-area local outdoor thermal sensation voting database; step2, establishing a severe-cold-area local meteorological database; step3, calculating local Tmrt and UTCI values, carrying out regional correction on a local UTCI scale and calculating a real-time pressure type, and compiling a data interaction interface program and realizing data cloud transmission and cloud downloading; and step4, using a miniature card computer and the Internet of things cloud platform to store, process, actually measure and calculate data, carrying out remote monitoring through a terminal, and realizing real-time evaluation through a display device. In the invention, severe-cold-area outdoor thermal comfort degree real-time evaluation can be realized, the terminal is used to carry out remote, off-site, real-time monitoring, and simultaneously, the local outdoor thermal sensation voting database is combined so that the accuracy and reliability of the evaluation can be greatly improved and a technology support is provided for the travel decision of residents in a severe cold area.

Description

technical field [0001] The invention belongs to the technical field of real-time evaluation of outdoor thermal comfort, in particular to a method for real-time evaluation of outdoor thermal comfort in severe cold regions based on locally corrected UTCI. Background technique [0002] The thermal comfort of outdoor activity venues in severe cold areas will fluctuate in different seasons and at different times of the day, and its fluctuation will affect the activity time and frequency of outdoor activities to a certain extent. Therefore, it is necessary to develop a real-time evaluation method for local outdoor thermal comfort in severe cold regions, so as to help residents in cold regions choose the appropriate time for outdoor activities, and also provide data reference for researchers. [0003] Existing real-time evaluation methods of outdoor thermal comfort mostly use meteorological data to calculate outdoor thermal comfort index, lack of consideration of subjective factors...

AI Technical Summary

Problems solved by technology

[0003] Existing real-time evaluation methods for outdoor thermal comfort mostly use meteorological data to calculate outdoor thermal comfort indicators, lack of consideration of the subjective factors of the activists, and cannot more accurately reflect the comfort of the outdoor thermal environment

At the same time, selecting an appropriate outdoor thermal comfort evaluation index can improve the scientificity of the evaluation. It is currently commonly used in the outdoor thermal comfort evaluation index. Relevant studies have shown that PMV-PPD is more suitable for indoor steady-state thermal environment evaluation; OUT_SET* is more suitable for hot climates. PET does not consider the humidity of human skin, and lacks the consideration of latent heat dissipation of human body; UTCI can be applied to thermal environment evaluation problems in different climates, seasons, latitudes and different climates

[0004] At present, the method of using UTCI index to evaluate the outdoor thermal environment in severe cold areas in China still needs to be improved. The reason is that outdoor thermal comfort is greatly affected by factors such as environment and region, and the thermal comfort index calculated by real-time meteorological data lacks the subjective factors of residents in cold areas. consider

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