Indoor thermal comfort evaluation system

Abstract

The invention discloses an indoor thermal comfort evaluation system, which is characterized in that by taking six parameters, namely the indoor air temperature, the air relative humidity, the air velocity and the black globe temperature collected by a sensor module and the human metabolic rate and the clothing thermal resistance input by a key module as the input signals, and establishing a simulation evaluation model in a singlechip module through a neural network, the PMV-PPD thermal environment comfort index is intelligently obtained. The indoor thermal comfort evaluation system has high integration degree, can objectively and intelligently evaluates the indoor thermal comfort, and effectively avoids the troublesome formula iterative operation.

Description

technical field [0001] The invention relates to an environment evaluation system, more specifically an evaluation system aimed at indoor thermal environment comfort. Background technique [0002] The indoor environment is an important part of the human living environment, including thermal environment, air environment, light environment and acoustic environment. Among them, the indoor thermal environment (the main environmental factors include indoor air temperature, average radiant temperature, air relative humidity and air velocity, etc.) has a huge impact on the comfort, work efficiency and health status of indoor personnel, so the thermal comfort of indoor environment The testing and evaluation research is particularly important. [0003] The quality of indoor thermal environment is generally expressed by "thermal comfort". Thermal comfort is people's subjective perception of the thermal environment. The American ASHRAE standard recommends a 7-level scale: -3—+3, corre...

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Problems solved by technology

[0005] At present, the existing indoor environmental comfort evaluation system generally uses the well-known PMV-PDD formula to obtain the comfort index value through tedious iterative operations, but because the formula itself is a complex nonlinear function, many parameters cannot be directly Detection obtained, e.g. mean radiant temperature

Therefore, in practical applications, some evaluation systems directly use the detected temperature and humidity environment as the basis for evaluating the indoor environment for the convenience of detection and simplify the complexity of the formula, and do not consider human differences for the time being; The indoor air temperature is used to calculate the PMV-PDD thermal environment comfort index, which leads to the evaluation results not in line with the actual; some directly set the human body parameters (human metabolic rate and clothing thermal resistance) as a fixed value to consider PMV-PDD PDD thermal environment comfort index, the evaluation results obtained in this way are often one-sided and do not conform to the real feeling of the human body, and cannot accurately reflect the actual thermal environment comfort

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