Abstract

According to the law of optimum in ecology, each factor has a certain range (the optimum zone) in which a person feels fine. If the factor values come out of this range, the body is depressed. When constructing the environment in buildings, it is important that the values of the factors approach the optimum zone to the maximum extent. Therefore, the goal of this paper is to develop a comprehensive assessment of the various factors acting on humans. Labor productivity was adopted in this paper as an assessment criterion. The curves of changes in labor productivity from one or another factor were described by point equations. For practical implementation, three factors were taken: the temperature and humidity of the air in the room, as well as the angular height of the light vector. The curves of changes in labor productivity from these factors were combined into one graph. The values of factors in fractions of units from comfort values were plotted along the abscissa axis. This made it possible to determine coefficient of the influence of factors relative to each other. For a complex estimation, a point set of surfaces of calculated or measured values was formed. Using the coefficient of variation formula, the average deviation from the comfortable value for each factor was determined. In the end, the averagely weighted deviation was determined for all the factors being evaluated, taking into account the coefficients of an influence. The best solution to the environment in the building is that in which the weighted average criterion assumes a minimum value. These research results will allow to create an effective environment in buildings with minimum energy and money costs, which will increase the level of energy efficiency of buildings. The results of studies of this work are brought to the development of the algorithm.

Highlights

  • The goal of this paper is to develop a comprehensive assessment of the various factors acting on humans

  • Comprehensive assessment, labor productivity, point calculation, coefficient of influence, comfortable value

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Summary

ȺɇȺɅȱɁ ɉɈɉȿɊȿȾɇȱɏ ȾɈɋɅȱȾɀȿɇɖ

Ʌɸɞɢɧɚ ɩɨɫɬɿɣɧɨ ɡɧɚɯɨɞɢɬɶɫɹ ɩɿɞ ɜɩɥɢɜɨɦ ɪɿɡɧɨɦɚɧɿɬɧɢɯ ɮɚɤɬɨɪɿɜ: ɬɟɦɩɟɪɚɬɭɪɚ, ɫɜɿɬɥɨ, ɪɚɞɿɚɰɿɹ, ɡɜɭɤ ɬɚ ɿɧ. [2] Ʉɨɥɢ ɡɧɚ-. Ɉɞɧɚɤ ɧɚ ɥɸɞɢɧɭ ɦɨɠɭɬɶ ɞɿɹɬɢ ɜɿɞɪɚɡɭ ɞɟɤɿɥɶɤɚ ɪɿɡɧɨɪɿɞɧɢɯ ɡɚ ɫɜɨɽɸ ɮɿɡɢɱɧɨɸ ɫɭɬɬɸ ɮɚɤɬɨɪɿɜ, ɹɤɿ ɜ ɬɨɦɭ ɚɛɨ ɿɧɲɨɦɭ ɫɬɭɩɟɧɸ ɧɚɞɚɸɬɶ ɜɩɥɢɜ ɧɚ ɩɪɨɞɭɤɬɢɜɧɿɫɬɶ ɩɪɚɰɿ: ɬɟɦɩɟɪɚɬɭɪɚ, ɨɫɜɿɬɥɟɧɿɫɬɶ, ɡɜɭɤɨɜɟ ɩɨɥɟ, ɜɨɥɨɝɿɫɬɶ ɩɨɜɿɬɪɹ ɬɚ ɿɧ. Ɐɿɥɥɸ ɞɚɧɨʀ ɪɨɛɨɬɢ ɽ ɪɨɡɪɨɛɤɚ ɦɟɬɨɞɭ ɤɨɦɩɥɟɤɫɧɨʀ ɨɰɿɧɤɢ ɞɿɸɱɢɯ ɧɚ ɥɸɞɢɧɭ ɪɿɡɧɨɪɿɞɧɢɯ ɡɚ ɫɜɨɽɸ ɮɿɡɢɱɧɨɸ ɫɭɬɬɸ ɟɤɨɥɨɝɿɱɧɢɯ ɮɚɤɬɨɪɿɜ, ɹɤɚ ɛɭɞɟ ɫɩɪɢɹɬɢ ɩɨɤɪɚɳɟɧɧɸ ɡɞɨɪɨɜ’ɹ ɥɸɞɢɧɢ ɿ ɩɿɞɜɢɳɟɧɧɸ ɩɪɨɞɭɤɬɢɜɧɨɫɬɿ ɩɪɚɰɿ ɞɥɹ ɮɨɪɦɭɜɚɧɧɹ ɤɨɦɮɨɪɬɧɨɝɨ ɫɟɪɟɞɨɜɢɳɚ ɜ ɩɪɢɦɿɳɟɧɧɹɯ ɩɪɢ ɦɿɧɿɦɚɥɶɧɢɯ ɜɢɬɪɚɬɚɯ ɟɧɟɪɝɿʀ ɡ ɜɢɤɨɪɢɫɬɚɧɧɹɦ ɬɨɱɤɨɜɨɝɨ ɱɢɫɥɟɧɧɹ. ɈɋɇɈȼɇȿ ȾɈɋɅȱȾɀȿɇɇə əɤɳɨ ɩɪɢɣɧɹɬɢ ɜ ɹɤɨɫɬɿ ɨɫɧɨɜɧɨɝɨ ɤɪɢɬɟɪɿɸ ɨɰɿɧɤɢ ɜɩɥɢɜɭ ɬɨɝɨ ɱɢ ɿɧɲɨɝɨ ɮɚɤɬɨɪɭ ɧɚ ɫɬɚɧ ɥɸɞɢɧɢ, ɧɚɩɪɢɤɥɚɞ, ɩɪɨɞɭɤɬɢɜɧɿɫɬɶ ɩɪɚɰɿ, ɬɨ ɩɪɚɤɬɢɤɚ ɧɚɭɤɨɜɢɯ ɞɨɫɥɿɞɠɟɧɶ ɧɚɪɨɛɢɥɚ ɧɟɦɚɥɨ ɩɨɩɢɬɭ ɜ ɫɩɪɚɜɿ ɜɢɜɱɟɧɧɹ ɜɩɥɢɜɭ ɪɿɡɧɨɦɚɧɿɬɧɢɯ ɮɚɤɬɨɪɿɜ ɧɚ ɰɟɣ ɤɪɢɬɟɪɿɣ. [3] ɞɨɫɥɿɞɠɭɜɚɜ ɜɩɥɢɜ ɬɟɦɩɟɪɚɬɭɪɢ ɧɚ ɩɪɨɞɭɤɬɢɜɧɿɫɬɶ ɪɨɡɭɦɨɜɨʀ ɩɪɚɰɿ Ƚɪɚɮɿɤɢ ɜɩɥɢɜɭ ɪɿɡɧɢɯ ɮɚɤɬɨɪɿɜ ɧɚ ɩɪɨɞɭɤɬɢɜɧɿɫɬɶ ɩɪɚɰɿ (Ș, %) ɜ ɚɛɫɨɥɸɬɧɢɯ ɨɞɢɧɢɰɹɯ: a – ɬɟɦɩɟɪɚɬɭɪɚ; b – ɜɨɥɨɝɿɫɬɶ; c – ɨɫɜɿɬɥɟɧɿɫɬɶ. Mij Mt q[ Aɤijɚ (1- u)(1- 2u)+ 4Cɤijɫu(1- u) + Bɤijɜu(2u A(1- u)(1- 2u)+ Bu(2u - 1)+ ɋ2u(1- u)

Mș Mt
Volodymyr Yehorchenkov

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