Eight Channel Temperature Monitoring using Thermocouple Sensors (type K) Based on Internet of Thing using ThinkSpeak Platform

  • Candra Prastyadi Department of Medical Electronics Technology, Poltekkes Kemenkes Surabaya, Indonesia
  • Bedjo utomo Department of Medical Electronics Technology, Poltekkes Kemenkes Surabaya, INDONESIA https://orcid.org/0000-0002-7295-7923
  • Her Gumiwang Ariswati Department of Medical Electronics Technology, Poltekkes Kemenkes Surabaya, Indonesia
  • Dyah Titisari Department of Medical Electronics Technology, Poltekkes Kemenkes Surabaya, Indonesia
  • Sumber Sumber Department of Medical Electronics Technology, Poltekkes Kemenkes Surabaya, INDONESIA
  • A. Senthil Kumar Kings Engineering College, India https://orcid.org/0000-0002-4822-8907
Keywords: Incubator laboratory, Thermocouple, Calibration, IoT

Abstract

A laboratory incubator is a device used to incubate a breed. a very important condition in the procedure Incubator is the optimal temperature conditions for microorganisms to grow. The incubator is equipped with a temperature controller so that the temperature can be adjusted according to the breed to be raised. Incubators use an oven like dry heat. The purpose of this study was to test and analyze the accuracy of the thermocouple sensor with incubator media in a laboratory incubator calibrator. The main design method uses the 8 MAX 6675 module, the 8 K type Thermocouple module, Arduino Mega, and SD Card data storage. Temperature measurements were measured with a Type K thermocouple sensor. The thermocouple sensor has 8 channels which function to measure the temperature at each camber point of the incubator. The temperature will be stored on the SD card for data analysis and the data can be processed in graphical form. Benchmarking is done using a temperature data logger. This is done so that the design results are below the standard comparison tool. The measurement results on the module compared to the comparison tool obtained the largest error value, namely 3.98%, namely on channel T6 at 35°C with ordinary incubator media and the smallest error on ordinary incubator media at point T6 at 37°C, which is 0.06 % and at 35 C the temperature of the incubator fan has the largest error of 2.98% and the smallest error of 0.86%. the module can perform well by testing the comparison tool at every point

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References

M. K. Zarkani, “Design and implementation of Laboratory incubator,” Ministry of Higher Education & Scientific Research University of Kerbala, Republic of Iraq, 2020.

S. M. Lawal, M. Umar, and I. Muhammad, “Design and Performance Evaluation of an Automatic Temperature Control System in an Incubator,” Int. J. Appl. Electron. Phys. Robot., vol. 2, no. 1, pp. 8–12, 2017.

A. Chauhan and T. Jindal, “Equipments and Instruments for Microbiological Laboratories BT - Microbiological Methods for Environment, Food and Pharmaceutical Analysis,” A. Chauhan and T. Jindal, Eds. Cham: Springer International Publishing, 2020, pp. 73–85.

A. Schertenleib, J. Sigrist, M. Friedrich, C. Ebi, F. Hammes, and S. Marks, “Construction of a Low-cost Mobile Incubator for Field and Laboratory Use,” J. Vis. Exp., Mar. 2019.

V. Thavaraj, B. Vashishth, O. S. Sastry, A. K. Kapil, and N. Kapoor, “Solar Powered Portable Culture Incubator,” Ann Pediatr Child Heal., vol. 3, no. 4, pp. 1–5, 2015.

B. T. Heligman et al., “The design and usage of a portable incubator for inexpensive in-field water analysis,” J. Humanit. Eng., vol. 6, no. 2, 2019.

C. Bernardes, R. Bernardes, C. Zimmer, and C. C. Dorea, “A Simple Off-Grid Incubator for Microbiological Water Quality Analysis,” Water , vol. 12, no. 1. 2020.

S. F. Hussin and Z. Saari, “Portable Incubator For E.coli and Coliform Bacterial GrowthUsing IoT,” Adv. Comput. Intell. Syst., vol. 2, no. 1, pp. 1–9, Nov. 2020.

C. Gutierrez, A. Somoskovi, K. Natarajan, and D. Bell, “Need for better adherence to optimal incubation temperature for quality laboratory diagnostics and antibiotic resistance monitoring,” Afr. J. Lab. Med., vol. 7, no. 2, pp. 1–2, 2018.

E. Clasen, K. Land, and T. Joubert, “Micro-incubator for bacterial biosensing applications,” in Fourth Conference on Sensors, MEMS, and Electro-Optic System, 2017, p. 100360G.

J. Wight, M.-P. Varin, G. Robertson, Y. Huot, and A. Lang, “Microbiology in the Field: Construction and Validation of a Portable Incubator for Real-Time Quantification of Coliforms and Other Bacteria,” Front. Public Heal., vol. 8, p. 607997, Nov. 2020.

B. L. Valdes-mora and P. Hardt-english, “Validation of a Laboratory Incubator Using Wireless and Cabled Datalogger,” J. Valid. Technol., vol. 8, no. 2, pp. 162–173, 2017.

D. Saepul Ramdan and M. Naufal Wijaksana, “Cold Storage Temperature Monitoring System Using Arduino-Based Data Logger and Visual Basic,” Sci. J. Informatics Manag. Comput., vol. 1, no. 3, pp. 107–112, 2017.

Rizkiyatussani, Her Gumiwang Ariswati, and Syaifudin, “Five Channel Temperature Calibrator Using Thermocouple Sensors Equipped With Data Storage,” J. Electron. Electromed. Eng. Med. Informatics, vol. 1, no. 1, pp. 1–5, 2019.

A. Z. Febriyanti, P. C. Nugraha, and Syaifudin, “Temperature Calibrator Using Thermocouple Based on Microcontroller,” Indones. J. Electron. Electromed. Eng. Med. Informatics, vol. 2, no. 1, pp. 13–20, 2020.

D. Singh, P. Kumar, and S. C. Prasad, “Calibration of thermocouples for low temperature applications,” in 2016 International Conference on Recent Advances and Innovations in Engineering (ICRAIE), 2016, pp. 1–4.

Y. A. Abdelaziz, “Low Cost Humidity / Temperature Calibration System,” J. Sci. Eng. Res., vol. 4, no. 10, pp. 305–311, 2017.

M. Rofi’i, S. Syaifudin, D. Titisari, and B. Utomo, “Waterbath Calibrator with Nine Channels Sensor,” Indones. J. Electron. Electromed. Eng. Med. informatics, vol. 1, no. 1, pp. 1–6, 2019.

Y. A. Sihombing and S. Listiari, “Detection of air temperature, humidity and soil pH by using DHT22 and pH sensor based Arduino nano microcontroller,” AIP Conf. Proc., vol. 2221, no. March, 2020.

F. Puspasari, T. P. Satya, U. Y. Oktiawati, I. Fahrurrozi, and H. Prisyanti, “Accuracy Analysis of Arduino-based DHT22 sensor system against a Standard Thermohygrometer,” J. Phys. Appl., vol. 16, no. 1, p. 40, 2020.

Yunidar, Alfisyahrin, and Y. Rahmad, “Performance Analysis of NTC and LM35 Temperature Sensors in AVR ATmega 16 Microcontroller-Based Room Temperature Detection System,” J. Amplif., pp. 38–42, 2013.

Y. A. K. Utama, “Quality Comparison Between Temperature Sensors Using Arduino Pro Mini,” e-Jurnal Nar., vol. 2, no. 2, pp. 145–150, 2016.

V. N. Azkiyak, S. Syaifudin, and D. Titisari, “Incubator Analyzer Using Bluetooth Android Display (Humidity & Air Flow),” Indones. J. Electron. Electromed. Eng. Med. Informatics, vol. 1, no. 2, pp. 71–77, 2019.

S. P. Nalavade, A. D. Patange, C. L. Prabhune, S. S. Mulik, and M. S. Shewale, “Development of 12 Channel Temperature Acquisition System for Heat Exchanger Using MAX6675 and Arduino Interface,” 2019, pp. 119–125.

H. H. Shaker, A. A. Saleh, A. H. Ali, and M. A. Elaziz, “Self-calibrating enabled low cost, two channel type K thermocouple interface for microcontrollers,” in 2016 28th International Conference on Microelectronics (ICM), 2016, pp. 309–312.

S. Saha and A. Majumdar, “Data centre temperature monitoring with ESP8266 based Wireless Sensor Network and cloud based dashboard with real time alert system,” in 2017 Devices for Integrated Circuit (DevIC), 2017, pp. 307–310.

W. G. Shun, W. M. W. Muda, W. H. W. Hassan, and A. Z. Annuar, “Wireless Sensor Network for Temperature and Humidity Monitoring Systems Based on NodeMCU ESP8266,” 2020, pp. 262–273.

C. Prastyadi, B. G. Irianto, H. G. Ariswati, D. Titisari, S. Nyatte, and S. Misra, “Analysis of The Accuracy of Temperature Sensors at The Calibrator Incubator Laboratory are equipped with data storage base on Internet of Thing,” Indones. J. Electron. Electromed. Eng. Med. Informatics, vol. 4, no. 4, pp. 160–167, 2022.

M. D. Ahmad, S. Z. Mohammad Noor, N. F. Abdul Rahman, and F. A. Haris, “Lux Meter Integrated with Internet of Things (IoT) and Data Storage (LMX20),” ICPEA 2021 - 2021 IEEE Int. Conf. Power Eng. Appl., no. March, pp. 138–142, 2021.

B. Bohara, S. Maharjan, and B. R. Shrestha, “IoT Based Smart Home using Blynk Framework,” Zerona Sch., vol. 1, no. 1, pp. 26–30, 2020.

P. A. Vanrolleghem et al., “A comprehensive model calibration procedure for activated sludge models,” Proc. Water Environ. Fed., vol. 2003, no. 9, pp. 210–237, 2003.

Published
2023-01-28
How to Cite
[1]
C. Prastyadi, B. utomo, H. G. Ariswati, D. Titisari, S. Sumber, and A. S. Kumar, “Eight Channel Temperature Monitoring using Thermocouple Sensors (type K) Based on Internet of Thing using ThinkSpeak Platform”, j.electron.electromedical.eng.med.inform, vol. 5, no. 1, pp. 33-38, Jan. 2023.
Section
Electronics