Analysis of Temperature Distribution in Blood Banks Through Storage of Measurement Results with IoT Monitoring in the Blood Donor Unit of PMI Surabaya
Temperature or temperature is an indicator of the degree of heat of an object. Cold chain or cold chain is a supply chain system that considers the temperature level in the process. Cold chain to keep frozen or chilled products in an environment with a certain temperature during production, storage, transportation, processing and sales. This is intended to maintain product quality. The purpose of this study was to determine the temperature distribution in the Blood bank at UDD PMI Surabaya City which was used for storage of blood products. By using the ESP32 system and the DS18B20 temperature sensor which will then be monitored via IoT, it will make it easier for users to monitor. The results of these measurements will be stored in a micro SD card for analysis. The data is processed by Non-Parametric Test resulting in an interpretation that the temperature of each shelf is different due to the difference in the location of the sensor placement. The temperature difference is also influenced by the pattern of use and the process of heat transfer from the bottom to the top of the shelf. This research was considered successful with the result of the highest temperature distribution being 3°C and the lowest being 2°C. The location of these racks can be useful in determining day-to-day monitoring measuring points. This value has met the standard for storage of blood products, which is in the range of 2°C-6°C.
C. G. Koch et al., “Real Age: Red Blood Cell Aging During Storage,” Ann. Thorac. Surg., vol. 107, no. 3, pp. 973–980, 2019, doi: 10.1016/j.athoracsur.2018.08.073.
N. N. Mahzan, A. M. Omar, S. Z. Mohammad Noor, and M. Z. Mohd Rodzi, “Design of data logger with multiple SD cards,” CEAT 2013 - 2013 IEEE Conf. Clean Energy Technol., pp. 175–180, 2013, doi: 10.1109/CEAT.2013.6775621.
C. M. Vancea and L. Viman, “Wireless data logger for thermal validation systems,” 2011 IEEE 17th Int. Symp. Des. Technol. Electron. Packag. SIITME 2011 - Conf. Proc., pp. 295–298, 2011, doi: 10.1109/SIITME.2011.6102739.
Z. Lu, J. Li, and Z. Yao, “The reading/writing SD card system based on FPGA,” Proc. - 2010 1st Int. Conf. Pervasive Comput. Signal Process. Appl. PCSPA 2010, pp. 419–422, 2010, doi: 10.1109/PCSPA.2010.107.
K. Y. Chen and Y. C. Shaw, “Applying back propagation network to cold chain temperature monitoring,” Adv. Eng. Informatics, vol. 25, no. 1, pp. 11–22, 2011, doi: 10.1016/j.aei.2010.05.003.
K. Umamaheswari, M. Susneha, and B. S. Kala, “IoT based Smart Cold Storage System for Efficient Stock Management,” Proc. 2020 IEEE Int. Conf. Commun. Signal Process. ICCSP 2020, pp. 51–55, 2020, doi: 10.1109/ICCSP48568.2020.9182426.
W. J. Liao et al., “Sensor integrated antenna design for applications in cold chain logistic services,” IEEE Trans. Antennas Propag., vol. 63, no. 2, pp. 727–735, 2015, doi: 10.1109/TAP.2014.2384048.
J. M. Belman-Flores and A. Gallegos-Muñoz, “Analysis of the flow and temperature distribution inside the compartment of a small refrigerator,” Appl. Therm. Eng., vol. 106, pp. 743–752, 2016, doi: 10.1016/j.applthermaleng.2016.06.065.
V. C. Falcón, Y. V. V. Porras, C. M. G. Altamirano, and U. Kartoglu, “A vaccine cold chain temperature monitoring study in the United Mexican States,” Vaccine, vol. 38, no. 33, pp. 5202–5211, 2020, doi: 10.1016/j.vaccine.2020.06.014.
S. Umchid, P. Samae, S. Sangkarak, and T. Wangkram, “Design and Development of a Temperature Controlled Blood Bank Transport Cooler,” BMEiCON 2019 - 12th Biomed. Eng. Int. Conf., pp. 0–3, 2019, doi: 10.1109/BMEiCON47515.2019.8990203.
L. J. Hui, F. K. C. Harun, Y. Yusof, and N. M. Safri, “WIRELESS temperature monitoring system for blood bank using Zigbee,” J. Teknol. (Sciences Eng., vol. 61, no. 2 SUPPL, pp. 93–98, 2013, doi: 10.11113/jt.v61.1642.
V. K. Gupta, A. Chaudhuri, and M. K. Tiwari, “Modeling for deployment of digital technologies in the cold chain,” IFAC-PapersOnLine, vol. 52, no. 13, pp. 1192–1197, 2019, doi: 10.1016/j.ifacol.2019.11.360.
V. Garrido, I. García-Jalón, and A. I. Vitas, “Temperature distribution in Spanish domestic refrigerators and its effect on Listeria monocytogenes growth in sliced ready-to-eat ham,” Food Control, vol. 21, no. 6, pp. 896–901, 2010, doi: 10.1016/j.foodcont.2009.12.007.
S. Kiruthika, P. Sakthi, M. Kaviya, and S. Vishnupriya, “Blood Bank Monitoring and Blood Identification System Using Iot Device,” vol. 25, no. 6, p. 192, 2021, [Online]. Available: http://annalsofrscb.ro
R. D. Ismail, H. A. Hussein, M. M. Salih, M. A. Ahmed, Q. A. Hameed, and M. B. Omar, “The Use of Web Technology and IoT to Contribute to the Management of Blood Banks in Developing Countries,” Appl. Syst. Innov., vol. 5, no. 5, 2022, doi: 10.3390/asi5050090.
Ramesh Saha, S. Biswas, S. Sarmah, S. Karmakar, and P. Das, “A Working Prototype Using DS18B20 Temperature Sensor and Arduino for Health Monitoring,” SN Comput. Sci., vol. 2, no. 1, pp. 1–21, 2021, doi: 10.1007/s42979-020-00434-2.
L. Balasenthilmurugan and A. Julian, “Design and implementation of Automated Blood Bank using embedded systems,” ICIIECS 2015 - 2015 IEEE Int. Conf. Innov. Information, Embed. Commun. Syst., pp. 0–5, 2015, doi: 10.1109/ICIIECS.2015.7193102.
X. Wang and S. Li, “Multipoint temperature measurement system of hot pack based on DS18B20,” Proc. - 2010 WASE Int. Conf. Inf. Eng. ICIE 2010, vol. 1, pp. 26–29, 2010, doi: 10.1109/ICIE.2010.14.
A. Maier, A. Sharp, and V. Yuriy, “Comparative Analysis and Practical Implementation of the ESP32 Microcontroller Module for the Internet of Things,” 2017 Internet Technol. Appl., pp. 143–148, 2014.
D. Mayasari, “Temperature Distribution Monitoring on Blood Bank Chamber Using Android Application on Mobile Phone,” vol. 16, no. 1, pp. 14–20, 2023.
M. Babiuch, P. Foltynek, and P. Smutny, “Using the ESP32 microcontroller for data processing,” Proc. 2019 20th Int. Carpathian Control Conf. ICCC 2019, pp. 1–6, 2019, doi: 10.1109/CarpathianCC.2019.8765944.
Y. Zhang, Z. S. Wang, and J. Li, “Design a wireless temperature measurement system based on NRF9E5 and DS18B20,” 2010 Int. Conf. Meas. Technol. Mechatronics Autom. ICMTMA 2010, vol. 1, pp. 910–913, 2010, doi: 10.1109/ICMTMA.2010.632.
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