Evaluating Suitability of a DS18B20 Temperature Sensor for Use in an Accurate Air Temperature Distribution Measurement Network

Kalashnikov, Alexander; Elyounsi, Ali

doi:10.3390/ecsa-8-11277

Cited by 8 publications

(3 citation statements)

References 4 publications

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“…This process was repeated three times, consistently yielding accurate measurement and data recording results. According to a study conducted by Elyounsi and Kalashnikov (2021), experimental readings were performed for approximately three months. The readings of DS18b20 showed excellent agreement with an average bias of only 0.05 °C and most scattered within ± 0.08 °C.…”

Section: Resultsmentioning

confidence: 99%

Fabrication and performance test of a multipurpose ohmic heating apparatus with a real-time data logging system based on low-cost sensors

Sagita,

Hidayat,

Darmajana

et al. 2024

Res. Agric. Eng.

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Ohmic heating is an emerging technology currently in high demand for application in various processes. In this research, a prototype of a multipurpose ohmic heating apparatus was successfully designed, fabricated, and tested. This apparatus was designed based on low-cost and versatile sensors and components available worldwide. Three independent chambers could be operated parallelly and individually with different treatments. Parameter data, i.e., voltage, electrical current, the temperature of heated material and environmental humidity-temperature, could be recorded by an embedded data logging system. The sensor had been tested and validated by comparing all the sensors used with commercial standard instruments. The result showed that all sensors had high measurement accuracy, indicated by very low mean absolute error (MAE) and mean absolute percentage error (MAPE), with R 2 > 0.999. The performance test revealed that product temperature could be accurately maintained according to the set point temperature with a deviation value lower than 0.1 °C. The data logging system was able to record and store the parameter data in SD card memory for up to several days without interruption. The prototype of the ohmic heating apparatus could be an effective alternative to process many purposes such as pasteurisation, cooking, warming, and fermentation based on the ohmic heating principle.

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Section: Resultsmentioning

confidence: 99%

Fabrication and performance test of a multipurpose ohmic heating apparatus with a real-time data logging system based on low-cost sensors

Sagita,

Hidayat,

Darmajana

et al. 2024

Res. Agric. Eng.

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“…The temperature sensor DS18B20 is a digital sensor, with a small size, simple hardware, and anti-interference ability. Its temperature measurement range of -55°C ~125°C, suitable for a variety of small space equipment in the field of non-extreme digital temperature measurement [3][4][5] . Restricted by the test environment, temperature range, measurement accuracy, test resolution, and other factors, the above two temperature sensors can not fully meet the various types of high-precision, wide measurement domain temperature measurement scenarios, but the RTD temperature measurement module is a better solution to these problems.…”

Section: Introductionmentioning

confidence: 99%

Miniature resistance temperature detector signal processing circuit with dual redundant design

Zhang,

Yan,

et al. 2024

Ninth International Symposium on Sensors, Mechatronics, and Automation System (ISSMAS 2023)

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The Resistance Temperature Detector (RTD) signal processing circuit is an important part of the RTD temperature measurement module. In this paper, the RTD processing signal circuit with a dual redundant design is developed, which realizes the high-precision by the symmetrical design of the circuit layout and the precision control of components to ensure the consistency of the two outputs, and the error of the two output voltages is less than 0.36%. Meanwhile, the circuit adopts high-density thick film hybrid integration technology to realize circuit miniaturization. It is verified that the output voltages accuracy of the circuits for mass production is less than 0.19% at room temperature of 25°C, less than 0.39% at high temperature of 125°C, and less than 0.27% at low temperature of -55°C. The size of the circuit is only 14.40mm×14.40mm×3.55mm. This circuit can be widely used in the field of miniaturized and high-precision temperature measurement as a key device of high-reliability and general-purpose RTD temperature measurement module.

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“…The wide use of these parameters has led to an increasing demand for accurate temperature measurement instruments. The global market data estimates that the annual growth of temperature sensors will increase by 4.8% in 2027 [1], and it is also predicted that in the next ten years will exceed 10 billion sensors/year [2]. The impact caused by this increased demand is the rise of the thermocouple modules price with high accuracy.…”

Section: Introductionmentioning

confidence: 99%

Enhancing the accuracy of low-cost thermocouple devices through deep-wavelet neural network calibration

Julian,

Wahyuni,

Dewantara

et al. 2024

IJECE

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Data collection using thermocouple sensors in low-cost data acquisition is prone to noise interference, which could reduce the data quality. Noise sources such as cold junction compensators, electromagnetic interference, and Johnson noise can significantly affect the reliability and accuracy of conventional measurements. This study aims to improve the quality of thermocouple sensor readings on low-cost data acquisition using calibration method based on deep learning and the denoising process using a wavelet transform. This taken approach successfully increase the accuracy value of 97.67% with a mean absolute error (MAE) of 0.2. The precision also increases of 262.7% as indicated by the result of signal-to-noise ratio (SNR) with a value of 105.29 dB. Comparative analysis was carried out against National Instruments® device and it was found that deep-wavelet method had a lower and higher of MAE and SNRdB values of 16.67% and 0.8% respectively. This study shows that the denoising-calibration method with deep-wavelet can improve the accuracy and reliability of data from low-cost thermocouple devices.

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Evaluating Suitability of a DS18B20 Temperature Sensor for Use in an Accurate Air Temperature Distribution Measurement Network

Cited by 8 publications

References 4 publications

Fabrication and performance test of a multipurpose ohmic heating apparatus with a real-time data logging system based on low-cost sensors

Fabrication and performance test of a multipurpose ohmic heating apparatus with a real-time data logging system based on low-cost sensors

Miniature resistance temperature detector signal processing circuit with dual redundant design

Enhancing the accuracy of low-cost thermocouple devices through deep-wavelet neural network calibration

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