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Desafio22 - Compare métodos para calcular temperaturas com termistor NTC 10k
Desafio22 - Compare métodos para calcular temperaturas com termistor NTC 10k
Angelo Luis Ferreira | 09/07/2018
Acessos: 9.895
Desafio 22 - Projeto 41
Compare método Steinhart–Hart - cálculo manual e biblioteca
Com base no projeto41 resolva o seguinte desafio:
1. Crie uma função para calcular a temperatura ambiente através de um termistor NTC 10K de forma manual, ou seja, sem a utilização da biblioteca Thermistor.h que você utilizou no projeto original, utilizando os parâmetros abaixo:
![Arquivo:DivisorTensao-NTC10k.png](http://wiki.foz.ifpr.edu.br/wiki/images/8/86/DivisorTensao-NTC10k.png)
Cálculo da resistência do NTC
Na temperatura de 25 °C a resistência do NTC é 10 k Ω, variando linearmente com a temperatura.
Portando: RNTC = 10kΩ (temperatura de 25 °C)
Para uma temperatura qualquer lida no sensor, temos que:
leitura_analógica = 512 (Vdivisor = 2,5V)
- Logo, podemos obter o valor da resistência NTC em função do valor lido no sensor (leitura analógica) , como segue:
RNTC = 10k . (1023/leitura_analógica - 1)
-
Equação de Steinhart–Hart
A equação de Steinhart–Hart (https://en.wikipedia.org/wiki/Thermistor), detalha a operação do thermistor NTC relacionando a variação de temperatura (Kelvin) com a resistência (Ω).a+bln(R)+c(ln(R))3
![{1 \over T}=a+b\,\ln(R)+c\,(\ln(R))^{3}](https://wikimedia.org/api/rest_v1/media/math/render/svg/a511eed9413d7b4ad0e7180610774b108d9bc921)
onde a, b e c são parâmetros de Steinhart–Hart específicos para cada dispositivo.Valores típicos para um thermistor com resistência de 10K Ω na temperatura de (25 °C = 298.15 K) é:
- a = 0.001129148
- b = 0.000234125
- c = 0.0000000876741
2) Crie uma outra função utilizando a biblioteca Thermistor.h do projeto original, lembrando que esta biblioteca também utiliza a equação de Steinhart–Hart.
3) Mostre os resultados dos dois métodos no display LCD e no monitor serial.
4) Acrescente um botão seletor (push button) para alterar a escala de Celsius para Fahrenheit. Mostre os valores no display LCD e no computador através do monitor serial.
Dicas e orientações
1) Para o cálculo do logaritmo neperiano (ln) utiliza a função log(), pois para o Arduino, log() é o logaritmo neperiano e log10() é o logaritmo na base 10.
2) Para não confundir, calcule primeiro a resistência do termistor NTC e depois utilize a equação Steinhart–Hart para determinar a temperatura.
3) O grau Fahrenheit (símbolo: °F) é uma escala de temperatura proposta por Daniel Gabriel Fahrenheit em 1724. Esta escala foi utilizada principalmente pelos países que foram colonizados pelos britânicos, mas seu uso atualmente se restringe a poucos países de língua inglesa, como os Estados Unidos e Belize. Veja abaixo a relação entre as escalas.
![](data:image/jpeg;base64,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O anúncio abaixo ajuda a manter o Squids Arduino funcionando
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