| Name: | Description: | Size: | Format: | |
|---|---|---|---|---|
| 14.85 MB | Adobe PDF |
Authors
Advisor(s)
Abstract(s)
A importância de estudar as tecnologias nas quais estamos envolvidos, seja no dia-a-dia ou
mesmo em ambientes de manufatura, não é discutível. Analisar todos os comportamentos,
sendo os mais simples possíveis, faz toda a diferença se pretendemos extrair a máxima
eficiência que o sistema pode nos oferecer.
Este trabalho aborda um exemplo de sistema baseado nas tecnologias IoT, onde foram
instalados equipamentos para monitoramento elétrico no sistema de climatização da empresa
Catraport, que desenvolve peças para montagem de escapamentos de automóveis,
localizada na cidade de Bragança, Portugal.
Esse monitoramento, por sua vez, é feito totalmente online e em tempo real, dispensando
a necessidade de um funcionário estar coletando dados de máquinas durante o
expediente, por exemplo. Além da retirada da intervenção humana, a digitalização dos
dados coletados traz conforto para o usuário se preparar da maneira que quiser, em busca
de informações específicas ou gerais, além de fazer comparações e descobertas. Após a
coleta e visualização dos dados, o sistema passa por monitoramento utilizando as Regras
de Nelson, as quais tem o objetivo de encontrar padrões estatísticos nos dados elétricos
coletados, a fim de prever comportamentos nos equipamentos, com o intuito de melhorar
sua utilização, seja para aumentar seja vida útil e até mesmo redução do consumo.
Dados de temperatura interna da fábrica foram coletados por meio de sensores. Esses
dados foram comparados com os dados de temperatura externa e consumo dos aerotermos,
com a intenção de encontrar padrões de funcionamento nas máquinas do sistema de
climatização a partir da temperatura.
A realização deste trabalho tem o objetivo de poder destacar os equipamentos do sistema de climatização da empresa Catraport, a fim de melhorar o funcionamento do
sistema e também uma possível redução nos custos de energia destes equipamentos. Esta
será validada por meio da inserção das regras de Nelson na base de dados dos dados
elétricos coletados, além da análise gráfica.
A implementação do sistema de monitoramento energético ocorreu da forma esperada.
Através dos dados coletados foi possível realizar o entendimento do funcionamento dos
equipamentos de climatização, além da análise estatística feita pelas Regras de Nelson e
dados de temperatura coletados no interior da fábrica. Alguns padrões de funcionamento
trouxeram uma análise mais detalhada e sugestões de funcionamento foram propostas.
The importance of studying the technologies in which we are involved, whether on a daily basis or even in manufacturing environments, is not debatable. Analyzing all the behaviors, being the simplest possible, makes all the difference if we intend to extract the maximum efficiency that the system can offer us. This work addresses an example of a system based on IoT technologies, where equipment for electrical monitoring was installed in the air conditioning system of the company Catraport, which develops parts for assembling car exhausts, located in the city of Bragança, Portugal. This monitoring, in turn, is done completely online and in real time, eliminating the need for an employee to be collecting data from machines during working hours, for example. In addition to removing human intervention, the digitization of collected data provides comfort for the user to prepare in the way they want, in search of specific or general information, in addition to making comparisons and discoveries. After collecting and viewing the data, the system undergoes monitoring using the Nelson Rules, which aim to find statistical patterns in the collected electrical data, in order to predict equipment behavior, in order to improve its use, either to increase it’s useful life and even reduce consumption. Factory internal temperature data was collected through sensors. These data were compared with the external temperature and consumption data from the air heaters, with the intention of finding operating patterns in the HVAC system machines based on the temperature. The purpose of this work is to be able to highlight the HVAC system equipment of the company Catraport, in order to improve the system’s functioning and also a possible reduction in the energy costs of these equipments. This will be validated through the insertion of Nelson’s rules in the database of electrical data collected, in addition to graphical analysis. The implementation of the energy monitoring system took place as expected. Through the collected data, it was possible to understand the functioning of the HVAC equipment, in addition to the statistical analysis carried out by Nelson’s Rules and temperature data collected inside the factory. Some working patterns brought a more detailed analysis and working suggestions were proposed.
The importance of studying the technologies in which we are involved, whether on a daily basis or even in manufacturing environments, is not debatable. Analyzing all the behaviors, being the simplest possible, makes all the difference if we intend to extract the maximum efficiency that the system can offer us. This work addresses an example of a system based on IoT technologies, where equipment for electrical monitoring was installed in the air conditioning system of the company Catraport, which develops parts for assembling car exhausts, located in the city of Bragança, Portugal. This monitoring, in turn, is done completely online and in real time, eliminating the need for an employee to be collecting data from machines during working hours, for example. In addition to removing human intervention, the digitization of collected data provides comfort for the user to prepare in the way they want, in search of specific or general information, in addition to making comparisons and discoveries. After collecting and viewing the data, the system undergoes monitoring using the Nelson Rules, which aim to find statistical patterns in the collected electrical data, in order to predict equipment behavior, in order to improve its use, either to increase it’s useful life and even reduce consumption. Factory internal temperature data was collected through sensors. These data were compared with the external temperature and consumption data from the air heaters, with the intention of finding operating patterns in the HVAC system machines based on the temperature. The purpose of this work is to be able to highlight the HVAC system equipment of the company Catraport, in order to improve the system’s functioning and also a possible reduction in the energy costs of these equipments. This will be validated through the insertion of Nelson’s rules in the database of electrical data collected, in addition to graphical analysis. The implementation of the energy monitoring system took place as expected. Through the collected data, it was possible to understand the functioning of the HVAC equipment, in addition to the statistical analysis carried out by Nelson’s Rules and temperature data collected inside the factory. Some working patterns brought a more detailed analysis and working suggestions were proposed.
Description
Mestrado de dupla diplomação com a UTFPR - Universidade Tecnológica Federal do Paraná
Keywords
Monitoramento de energia Eficiência energética Grafana InfluxDB Internet das coisas IoTaWatt Regras de Nelson