The implementation of low-end sensors in the development of research is very useful, since it allows real-time temperature measurements, among different variables. In this context, a study on the calibration adjustment of the DS18B20 sensor is presented, using methodologies such as: two-point calibration and comparison methodology. The main objective is to validate the sensor readings through these methods to verify an accurate measurement in various applications, for example temperature control and water quality, where temperature is a critical parameter to measure pH and conductivity. In the comparison methodology, the Leybold Mobile CASSY 2 instrument and a mercury thermometer are used and measurements are performed in controlled environments within a laboratory. As a result, an adjustment using fuzzy logic is proposed, based on the analysis of previously implemented calibration methodologies, providing a detailed understanding of the sensor’s behavior within its operating range of –55 ℃ to 125 ℃. This model was designed and tested using Matlab, proving to be an effective solution to improve the accuracy of DS18B20 sensor readings in practical applications.

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Calibration of the DS18B20 Probe Using Fuzzy Logic and Two-Point Methodology: A Comparative Study

  • María Teresa Loya Escalante,
  • Humberto Raymundo González Moreno,
  • Jorge Cruz-Salazar,
  • Irahan Otoniel José Guzmán

摘要

The implementation of low-end sensors in the development of research is very useful, since it allows real-time temperature measurements, among different variables. In this context, a study on the calibration adjustment of the DS18B20 sensor is presented, using methodologies such as: two-point calibration and comparison methodology. The main objective is to validate the sensor readings through these methods to verify an accurate measurement in various applications, for example temperature control and water quality, where temperature is a critical parameter to measure pH and conductivity. In the comparison methodology, the Leybold Mobile CASSY 2 instrument and a mercury thermometer are used and measurements are performed in controlled environments within a laboratory. As a result, an adjustment using fuzzy logic is proposed, based on the analysis of previously implemented calibration methodologies, providing a detailed understanding of the sensor’s behavior within its operating range of –55 ℃ to 125 ℃. This model was designed and tested using Matlab, proving to be an effective solution to improve the accuracy of DS18B20 sensor readings in practical applications.