Comparative Analysis of Water and Oil Media on Temperature Stability in PID Control-Based Digital Thermometer Calibrator

Keywords: Thermometer, PID, Temperature, LM35DZ, Heater.


Digital thermometers are measuring instruments needed to perform temperature measurement actions and must be calibrated periodically according to standard measurement methods. The purpose of developing this tool is to add PID control to the calibration media where PID control aims to regulate the stability of the temperature setting to be achieved. This is achieved by studying and evaluating the effect of temperature stability on the heater and LM35DZ temperature sensor. This research method uses the Arduino Nanosystem for data processing and PID system control. The LM35DZ temperature sensor on the heater is regulated by a 2 Channel SSR module using a PID system then the temperature generated by the heater will be read by the LM35DZ and displayed on the LCD. The results of this study, digital thermometer calibrator measurements have been successfully carried out by comparing 3 digital thermometers with different brands, namely Omron 343F, Omron 245, and ThermoOne. The difference in error values in oil media is 3-4% and in water media 2-4% with the value of time stability in water media for 3-3.3 minutes and in oil media for 1-2 hours. With this comparison of calibration media, it is hoped that it can help in measuring temperature with better and more effective results. find methods, results, conclusions.


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J. Nielsen, J. Domino, and M. B. Nielsen, “Disseminating the ITS-90 traceability in industry - An intercomparison of temperature block calibrators,” Int. J. Thermophys., vol. 32, no. 7–8, pp. 1485–1495, 2011.

H. Okan, B. Karaböce, E. Çetin, and M. Özdingi, “Calibration of Infrared Ear Thermometers (IRETs),” in Medical Technologies National Conference (TIPTEKNO), 2018, pp. 0–3.

M. Hohmann, S. Marin, M. Schalles, G. Krapf, and T. Fröhlich, “Dry Block Calibrator Using Heat Flux Sensors and an Adiabatic Shield,” Int. J. Thermophys., vol. 36, no. 8, pp. 2085–2098, 2015.

Y. Huang, W. Li, F. Macheret, R. A. Gabriel, and L. Ohno-Machado, “A tutorial on calibration measurements and calibration models for clinical prediction models,” J. Am. Med. Informatics Assoc., vol. 27, no. 4, pp. 621–633, 2021.

A. Ramadhani, E. D. Setioningsih, and S. Syaifuddin, “Design Dryblock In Digital Thermometer Calibrator Based on Arduino,” Indones. J. Electron. Electromed. Eng. Med. informatics, vol. 2, no. 1, pp. 21–25, 2020.

S. Pradeep Kumar, N. Shanmugasundaram, and E. N. Ganesh, “Measurement of thermometer using automated system,” Int. J. Eng. Technol., vol. 7, no. 2.8 Special Issue 8, pp. 307–310, 2018.

T.-F. Lu and G. C. I. Lin, “An on-line relative position and orientation error calibration methodology for workcell robot operations,” Robot. Comput. Integr. Manuf., vol. 13, no. 2, pp. 89–99, 1997.

F. Leali, A. Vergnano, F. Pini, M. Pellicciari, and G. Berselli, “A workcell calibration method for enhancing accuracy in robot machining of aerospace parts,” Int. J. Adv. Manuf. Technol., vol. 85, pp. 47–55, 2016.

O. Ongrai, J. V. Pearce, G. Machin, and U. Norranim, “Multi-Mini-Eutectic Fixed-Point Cell for Type C Thermocouple Self-Calibration,” Int. J. Thermophys., vol. 36, no. 2–3, pp. 423–432, 2015.

S. Marin, M. Hohmann, and T. Fröhlich, “Small Multiple Fixed-Point Cell as Calibration Reference for a Dry Block Calibrator,” Int. J. Thermophys., vol. 38, no. 2, pp. 1–12, 2017.

M. Hohmann, S. Marin, M. Schalles, and T. Fröhlich, “Dry Block Calibrator with Improved Temperature Field and Integrated Fixed-Point Cells,” Int. J. Thermophys., vol. 38, no. 2, pp. 1–10, 2017.

X. Zhao, Z. Zhao, Q. Shi, M. Dou, R. Zheng, and L. Cui, “Comparative experimental study on the stability of two brands of dry block furnace,” in 2020 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS), 2020, pp. 38–41.

X. Zhao, Z. Zhao, Q. Shi, M. Dou, and R. Zheng, “The Influence of Axial Temperature Distribution on Calibration Accuracy Based on Dry Block Furnace,” Proc. - 11th Int. Conf. Progn. Syst. Heal. Manag. PHM-Jinan 2020, pp. 547–550, 2020.

M. Zhang, F. Liang, Y. Xie, R. Huang, H. Yuan, and J. Lu, “Measurement system of reducing temperature fluctuation of thermostat bath for calibrating thermocouple,” IFIP Adv. Inf. Commun. Technol., vol. 452, pp. 603–609, 2015.

L. H. González, J. M. Hernández, I. B. González, and A. S. Jiménez, “Análisis y diseño de un esquema de control para aplicación en baño seco portátil,” Rev. Fac. Ing., no. 72, pp. 61–72, 2014.

X. Wang and S. Li, “Multipoint temperature measurement system of hot pack based on DS18B20,” in 2010 WASE International Conference on Information Engineering, 2010, vol. 1, pp. 26–29.

H. Shen, J. Fu, and Z. Chen, “Embedded system of temperature testing based on DS18B20,” in 2006 International Technology and Innovation Conference (ITIC 2006), 2006, pp. 2223–2226.

A. K. Bintari, “Evaluasi Kestabilan Suhu Pada Rancang Bangun Kalibrator Termometer Badan Berbasis Kontrol Pid,” Digilib.Uin-Suka.Ac.Id, vol. 1974080120, pp. 1–6, 2020.

N. Wang et al., “High Efficiency Thermoelectric Temperature Control System with Improved Proportional Integral Differential Algorithm Using Energy Feedback Technique,” IEEE Trans. Ind. Electron., vol. 69, no. 5, pp. 5225–5234, 2022.

R. Aisuwarya and Y. Hidayati, “Implementation of ziegler-nichols PID tuning method on stabilizing temperature of hot-water dispenser,” 2019 16th Int. Conf. Qual. Res. QIR 2019 - Int. Symp. Electr. Comput. Eng., pp. 1–5, 2019.

H.-C. Chen and Y.-W. Bai, “Improvement of a High-Current-Density Power Backplane Design With a PID Fan Control Cooling System on an Enterprise Server,” IEEE Can. J. Electr. Comput. Eng., vol. 44, no. 1, pp. 1–9, 2021.

I. Yang and D. Kim, “Uncertainty of thermal conductivity measurement at high temperatures using guarded hot plate apparatus,” Int. J. Heat Mass Transf., vol. 198, p. 123434, 2022.

S. N. H. Johari, M. H. F. Rahiman, R. Adnan, and M. Tajjudin, “Real-time IMC-PID Control and Monitoring of Essential Oil Extraction Process Using IoT,” 2020 IEEE Int. Conf. Autom. Control Intell. Syst. I2CACIS 2020 - Proc., no. June, pp. 51–56, 2020.

C. Xu, M. Huang, H. Jin, Z. Tang, and D. Zhang, “Study of fuzzy-PID control and simulation of electrical heating in calibration device for heatmeters,” ICEMI 2009 - Proc. 9th Int. Conf. Electron. Meas. Instruments, pp. 859–863, 2009.

A. Yuzhakova, L. Zhukova, N. Akif’eva, D. Krasnov, and A. Korsakov, “Application of infrared polycrystalline fibers in thermal imaging temperature control systems,” Sensors Actuators, A Phys., vol. 314, 2020.

How to Cite
M. Sofyan, S. Syaifudin, A. Pudji, A. T. Nugraha, and B. Utomo, “Comparative Analysis of Water and Oil Media on Temperature Stability in PID Control-Based Digital Thermometer Calibrator”,, vol. 5, no. 2, pp. 73-78, May 2023.
Research Article