Incubator Simulation for Biomedical Education: Real-Time Interactive System Modeling with SVG and JavaScript

Year 2025, Volume: 9 Issue: 2, 183 - 193, 29.12.2025

Ali Özhan Akyüz , Kazım Kumaş , Mustafa Ayan , Durmuş Temiz

https://doi.org/10.47897/bilmes.1750234

Abstract

This study presents a fully browser-based, platform-independent incubator simulation designed to provide biomedical device technology students with a safe and low-cost means of practicing outside laboratory environments. The simulation generates realistic dynamic responses through a JavaScript- and SVG-based interactive interface, a state machine architecture, a continuous thermal model, and a discrete-time PID controller (with user-adjustable Kp, Ki, Kd, and set temperature). Heating is virtually modulated via an SSR; the Pt100/RTD sensor is modeled numerically; and safety functions such as overtemperature, sensor and fan faults, and door status are implemented at the code level. The user interface includes a live status table, circuit diagram and device graphics, PID panel, fault injection buttons, and a RESET control. Additionally, a multiple-choice quiz of ten questions integrated into the same page supports formative assessment. The simulation has been tested under normal operation, door-open, fan fault, and sensor fault scenarios, with visualizations of the time-dependent behaviors of temperature, PID output, and heater power. The findings demonstrate that the PID output directly influences the heating rate, and that fan/door conditions significantly increase heat losses, thereby altering the steady-state point and settling time. Unlike physical prototypes and desktop software found in the literature, the proposed solution runs without installation, allows training scenarios to be repeated rapidly, and eliminates safety risks. In conclusion, the proposed web-based simulation is an effective and accessible learning tool for teaching both fundamental control principles and the safety behaviors of incubators.

Keywords

Incubator simulation , biomedical education , web-based learning , PID control , JavaScript , SVG animation

References

• P. Chandra, S. Srivastav, and B. Shah, “Innovation, incubation, and incubator,” Vikalpa, vol. 28, no. 2, pp. 89–94, 2003. DOI: 10.1177/0256090920030208
• D. J. Smith and M. Zhang, “Introduction: The evolution of the incubator concept,” The International Journal of Entrepreneurship and Innovation, vol. 13, no. 4, pp. 227–234, 2012. DOI: 10.5367/ijei.2012.0096
• A. R. Zaidi, I. Khoso, and M. S. Khan, “Fostering an entrepreneurial society: The role of university incubators,” International Research Journal of Management and Social Sciences, vol. 4, no. 4, pp. 108–121, 2023.
• J. E. Nagamani, B. K. Indu, G. Subbalakshmi, and M. Anuradha, “Laboratory design and functionality,” in In Vitro Production of Plant Secondary Metabolites: Theory and Practice. Singapore: Springer Nature Singapore, 2025, pp. 35–56. DOI: 10.1007/978-981-97-8808-8_3
• M. C. A. Prabowo et al., “Development of an IoT-based egg incubator with PID control system and web application,” JOIV: International Journal on Informatics Visualization, vol. 8, no. 1, pp. 465–472, 2024. DOI: 10.62527/joiv.8.1.2044
• F. L. Rashid et al., “Advancements and innovations in thermodynamics for infant incubators: A review,” International Journal of Heat & Technology, vol. 41, no. 6, pp. 1543–1553, 2023. DOI: 10.18280/ijht.410616
• A. Singh, D. Ferry, and S. Mills, “Improving biomedical engineering education through continuity in adaptive, experiential, and interdisciplinary learning environments,” Journal of Biomechanical Engineering, vol. 140, no. 8, p. 081009, 2018. DOI: 10.1115/1.4040359
• M. D. Succi et al., “Medically engineered solutions in health care: A technology incubator and design-thinking curriculum for radiology trainees,” Journal of the American College of Radiology, vol. 15, no. 6, pp. 892–896, 2018. DOI: 10.1016/j.jacr.2018.02.017
• M. K. Ginalski, A. J. Nowak, and L. C. Wrobel, “A combined study of heat and mass transfer in an infant incubator with an overhead screen,” Medical Engineering & Physics, vol. 29, no. 5, pp. 531–541, 2007. DOI: 10.1016/j.medengphy.2006.07.011
• D. Cassidy et al., “Numerical analysis of a radiant drying oven for web applications,” The International Journal of Advanced Manufacturing Technology, vol. 32, no. 3, pp. 238–256, 2007. DOI: 10.1007/s00170-005-0344-y
• J. Smolka, A. J. Nowak, and D. Rybarz, “Improved 3-D temperature uniformity in a laboratory drying oven based on experimentally validated CFD computations,” Journal of Food Engineering, vol. 97, no. 3, pp. 373–383, 2010. DOI: 10.1016/j.jfoodeng.2009.10.032
• V. Bratov, “Incubation time fracture criterion for FEM simulations,” Acta Mechanica Sinica, vol. 27, no. 4, pp. 541–549, 2011. DOI: 10.1007/s10409-011-0484-2
• M. A. Zermani, E. Feki, and A. Mami, “Building simulation model of infant-incubator system with decoupling predictive controller,” IRBM, vol. 35, no. 4, pp. 189–201, 2014. DOI: 10.1016/j.irbm.2014.07.001
• E. Feki, M. A. Zermani, and A. Mami, “GPC temperature control of a simulation model infant-incubator and practice with Arduino board,” International Journal of Advanced Computer Science and Applications, vol. 8, no. 6, 2017. DOI: 10.14569/IJACSA.2017.080607
• D. B. Zimmer et al., “Design, control, and simulation of a neonatal incubator,” in Proc. 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Jul. 2020, pp. 6018–6023. DOI: 10.1109/EMBC44109.2020.9175407
• J. He et al., “Fuzzy PID controlled temperature in phototherapy incubator for infant jaundice treatment: A simulation,” in Proc. 25th International Conference on Advanced Communication Technology (ICACT), Feb. 2023, pp. 49–53. DOI: 10.23919/ICACT56868.2023.10079548
• S. V. Frolov et al., “Building a simulation model of a neonatal incubator with a neural controller,” in Proc. XXVII International Conference on Soft Computing and Measurements (SCM), May 2024, pp. 444–448. DOI: 10.1109/SCM62608.2024.10554072
• C. Wang et al., “Simulation analysis of 3-D airflow and temperature uniformity of paddy in a laboratory drying oven,” Foods, vol. 13, no. 21, p. 3466, 2024. DOI: 10.3390/foods13213466
• L. H. Woldeamanuel and A. Ramaveerapathiran, “Design of multivariable PID control scheme for humidity and temperature control of neonatal incubator,” IEEE Access, vol. 12, pp. 6051–6062, 2024. DOI: 10.1109/ACCESS.2024.3349426
• B. Galbraith, R. McAdam, and S. E. Cross, “The evolution of the incubator: Past, present, and future,” IEEE Transactions on Engineering Management, vol. 68, no. 1, pp. 265–271, 2019. DOI: 10.1109/TEM.2019.2905297
• I. Abu-Mahfouz, “Temperature measurements,” in Instrumentation: Theory and Practice Part II: Sensors and Transducers. Cham: Springer, 2022, pp. 103–128. DOI: 10.1007/978-3-031-79211-3_6
• C. Dames, “Resistance temperature detectors,” in Encyclopedia of Microfluidics and Nanofluidics. Boston, MA: Springer, 2008, pp. 1782–1790. DOI: 10.1007/978-0-387-48998-8_1354
• J. G. Saa and M. J. Cucanchon, “Design of a temperature control system for an egg incubator,” Tekhnê, vol. 17, no. 2, pp. 35–42, 2020.
• D. W. Clarke, “PID algorithms and their computer implementation,” Transactions of the Institute of Measurement and Control, vol. 6, no. 6, pp. 305–316, 1984. DOI: 10.1177/014233128400600605
• S. Mohlalisi, T. Koetje, and T. Thamae, “Design and development of an artificial incubator,” Smart Agricultural Technology, vol. 7, p. 100387, 2024. DOI: 10.1016/j.atech.2023.100387
• T. A. Tisa, Z. A. Nisha, and M. A. Kiber, “Design of an enhanced temperature control system for neonatal incubator,” Bangladesh Journal of Medical Physics, vol. 5, no. 1, pp. 53–61, 2012. DOI: 10.3329/bjmp.v5i1.14668