Metodología para el análisis de parámetros tecnológicos de seguridad ocupacional en edificios industrialesAplicaciones a las zonas sur y norte de Argentina

Résumé

Abstract Thermal comfort levels are difficult to determine both because of the number of physical variables involved and because of their subjective nature. This paper proposes a methodology to determine the technological occupational health parameters for thermal comfort in industrial buildings in different areas of Argentina. For this purpose, data collection is carried out through a survey to the operative and administrative staff of industries and companies, according to activity and working hours, for summer and winter conditions. The predictive value of hygrothermal comfort was obtained using Data Mining techniques for the areas under study. The software used were WEKA and ELVIRA The results obtained are compared with other statistical linear regression models applied to thermal comfort, showing that the comfort temperature values are within the same range, but the network provides more information. Moreover, compared to static heat exchange models, the contribution of Bayesian networks is distinguished by considering a context of real operating conditions and adaptability to the environment. Having a methodology to determine the parameters for indoor thermal comfort applicable to different areas improves the working environment, which leads to a reduction of accidents and occupational diseases, contributing to occupational health and industrial safety. It also favours energy savings by optimizing the use of air conditioning and ventilation installations in industrial buildings, increases energy efficiency, and contributes to environmental sustainability, in the interests of a better quality of life. Keywords: occupational health; thermal comfort; industrial building; relative humidity; temperature; energy savings; sustainability