Índice De Desconforto E Índice De Temperatura Efetiva: Uma Implementação Para Smartphones E Tablets.

Abstract

RESUMO:Índice de desconforto e índice de temperatura efetiva são métodos aplicados em análises de conforto térmico de ambientes. A computação móvel, por sua vez, relaciona-se com a capacidade de mover fisicamente serviços computacionais. Dentre as ferramentas disponíveis atualmente para avaliação das condições térmicas de ambientes mediante índices de conforto térmico, não há algoritmos específicos para plataforma de computação móvel. Sendo assim, este trabalho teve como objetivo desenvolver um aplicativo para smartphones e tablets, que realiza o cálculo do índice de desconforto e do índice de temperatura efetiva. Os algoritmos foram submetidos a validações por meio da inserção de dados meteorológicos, no qual pode-se avaliar a eficiência e usabilidade do software. Concluiu-se que o aplicativo é uma ferramenta prática e eficiente para análises em tempo real de conforto térmico, utilizando os índices de desconforto e de temperatura efetiva. Especificamente para a resolução do índice de desconforto, com a utilização do aplicativo houve redução, em média, de 95% do tempo gasto nos cálculos sem o uso de algoritmos. PALAVRAS-CHAVE:Conforto térmico, ambiência, computação móvel. DISCOMFORT INDEX AND EFFECTIVE-TEMPERATURE INDEX: AN IMPLEMENTATION TO SMARTPHONES AND TABLETS.ABSTRACT: Discomfort index and effective-temperature index are methods applied on evaluation of thermal comfort at environments. Mobile computing is the capability of physically moving computing services. Among available tools of thermal comfort indices, there is no specific algorithm to mobile computing platform. Therefore, this work aimed to develop an application to smartphones and tablets that perform calculation of discomfort index and effectivetemperature index. The algorithms were submitted to validations through inserting weather data, in which, it was possible to evaluate efficiency and usability of the software. This work concluded that application is a practice and efficient tool for real time analysis of thermal comfort using the discomfort index and effective-temperature index. Nearly 95% of time spent calculating without algorithms was reduced using the application for the discomfort index resolution.

Development and assessment of a low-cost embedded system for evaluation of animal thermal comfort

“…Therefore, choosing controllers with the possibility of managing mechanisms to control the microenvironment has a good impact on optimizing the production cost and gain of productivity, so it was decided to use the Arduino Mega At2560, which was from the same working platform of the microcontrollers used by Neto et al (2015), Santos (2013), Oliveira (2016) and Oliveira et al (2015). The models used were: Uno, Mega 2560 and Genuino 101, being used always for the reception of sensor data.…”

“…HTU21d, humidity sensor used in this work, has a range of 0-100 % and accuracy of ± 2%, different from the sensor used by Oliveira et al (2015), who chose the humidity and temperature sensor DHT22, which has a resolution of ± 0.5 ºC (maximum: ± 1.0 ºC) with a range from 40 to 80 ºC (Oliveira, 2015). Santos (2013) used the relative humidity sensor STH21, which has typical accuracy of 0.04 °C, allowing readings in the range from 0 to 100% of relative humidity and temperature in the range from 20 to 100 °C (Santos, 2013).…”

Similitude and Thermal Performance on Non-Conventional Roofs

“…Oliveira Júnior et al (2015) describe that the discomfort index can be applied in thermal comfort assessments, more common in human work environments, but can be applied in animal production facilities, in which the parameters must be adjusted according to the animal to be evaluated.…”

Hysteresis and Thermal Inertia of Spheres of Alternative Materials for Black Globe Thermometers

“…This instrument has been used in studies on dairy, beef cattle, swine, equine and poultry (Rojas-Downing et al, 2017;Tavares et al, 2016;Carneiro et al, 2015;Pérez et al, 2015;Silva et al, 2015;Nascimento et al, 2014;Neto & Nääs, 2014;Rosselle et al, 2014;Purswell & Davis, 2008) as well as in studies on humans (Saliba & Lanza, 2016;Oliveira Júnior et al, 2015;NR-15 (MTE, 1978).…”