IoT-Based Real-Time Monitoring System for Temperature and Humidity Control in Pharmaceutical Manufacturing

Year : 2026 | Volume : 04 | Issue : 01 | Page : 32 37
    By

    Khandve Pranjal Mahendra,

  • Kolhe Payal Ganpat,

  • Kshirsagar Vedant Umesh,

  • Lokhande Sai Sunil,

  • Naveen Kumar,

  1. Student, Department of Mechatronics Engineering, Sanjivani College of Engineering, Kopargaon, Maharashtra, India
  2. Student, Department of Mechatronics Engineering, Sanjivani College of Engineering, Kopargaon, Maharashtra, India
  3. Student, Department of Mechatronics Engineering, Sanjivani College of Engineering, Kopargaon, Maharashtra, India
  4. Student, Department of Mechatronics Engineering, Sanjivani College of Engineering, Kopargaon, Maharashtra, India
  5. Assistant Professor, Department of Mechatronics Engineering, Sanjivani College of Engineering, Kopargaon, Maharashtra, India

Abstract

Environmental conditions, especially temperature and humidity, play a vital role in pharmaceutical manufacturing processes. Even minor fluctuations in these parameters can significantly influence the stability, potency, and overall effectiveness of drug formulations. In many cases, uncontrolled environmental variations may lead to chemical degradation, reduced shelf life, contamination risks, and substantial financial losses for manufacturers. Therefore, maintaining precise and consistent environmental conditions is essential to ensure product quality, regulatory compliance, and patient safety. To overcome these challenges, an Internet of Things (IoT) based real-time monitoring system has been designed to continuously observe and regulate temperature and humidity levels within pharmaceutical production facilities. The proposed system incorporates DHT22 sensors to accurately measure environmental conditions and an ESP32 microcontroller to process, analyze, and transmit the collected data. The processed information is displayed through a user-friendly mobile application developed using MIT App Inventor, allowing operators to monitor real-time readings remotely and conveniently. Additionally, the system is programmed with predefined safety thresholds. Whenever the measured temperature or humidity values exceed acceptable limits, immediate alerts are generated to notify responsible personnel. This enables prompt corrective actions to prevent product damage and maintain optimal manufacturing conditions. Overall, this smart monitoring solution improves quality assurance, minimizes product wastage, enhances operational efficiency, and offers a reliable, affordable approach to environmental control in pharmaceutical industries

Keywords: DHT22 sensor, drug stability, ESP32, humidity monitoring, IoT, MIT App Inventor, pharmaceutical manufacturing, quality assurance, real-time monitoring, temperature control

[This article belongs to International Journal of Mobile Computing Technology ]

How to cite this article:
Khandve Pranjal Mahendra, Kolhe Payal Ganpat, Kshirsagar Vedant Umesh, Lokhande Sai Sunil, Naveen Kumar. IoT-Based Real-Time Monitoring System for Temperature and Humidity Control in Pharmaceutical Manufacturing. International Journal of Mobile Computing Technology. 2026; 04(01):32-37.
How to cite this URL:
Khandve Pranjal Mahendra, Kolhe Payal Ganpat, Kshirsagar Vedant Umesh, Lokhande Sai Sunil, Naveen Kumar. IoT-Based Real-Time Monitoring System for Temperature and Humidity Control in Pharmaceutical Manufacturing. International Journal of Mobile Computing Technology. 2026; 04(01):32-37. Available from: https://journals.stmjournals.com/ijmct/article=2026/view=247998


References

  1. Ab Rahman R, Hashim UR, Ahmad S. IoT based temperature and humidity monitoring framework. Bull Electr Eng Inform. 2020;9:229–237.
  2. Alshammari MT. Design and learning effectiveness evaluation of gamification in e-learning systems. Int J Adv Comput Sci Appl. 2019;10:1–10.
  3. Umamaheswari K, Susneha M, Kala BS. IoT based smart cold storage system for efficient stock management. 2020 International Conference on Communication and Signal Processing (ICCSP), Chennai, India, 2020. p. 51–55. doi:10.1109/ICCSP48568.2020.9182426.
  4. Xu M, Ma L, Xia F, Yuan T, Qian J, Shao M. Design and implementation of a wireless sensor network for smart homes. 2010 7th International Conference on Ubiquitous Intelligence & Computing and 7th International Conference on Autonomic & Trusted Computing, Xi’an, China. 2010. p. 239–243. doi:10.1109/UIC-ATC.2010.16.
  5. Tsang YP, Choy KL, Wu CH, Ho GTS, Lam CHY, Koo PS. An Internet of Things (IoT)-based risk monitoring system for managing cold supply chain risks. Ind Manag Data Syst. 2018;118:1432–1462. doi:10.1108/IMDS-09-2017-0384.
  6. Awasthi S, Pandey PS, Vashisth PC. IoT-driven cold chain management for real-time monitoring and alerts for perishable goods. 2025 International Conference on Pervasive Computational Technologies (ICPCT), Greater Noida, India. 2025. p. 1008–doi:10.1109/ICPCT64145.2025.10940754.
  7. Lu S, Wang X. Toward an intelligent solution for perishable food cold chain management. 2016 7th IEEE International Conference on Software Engineering and Service Science (ICSESS), Beijing, China, 2016. p. 852–856. doi:10.1109/ICSESS.2016.7883200.
  8. Sathiya V, Nagalakshmi K, Raju K, Lavanya R. Tracking perishable foods in the supply chain using chain of things technology. Sci Rep. 2024;14:21621. doi:10.1038/s41598-024-72617-3. PubMed PMID: 39285258.
  9. Zhu Q, Wang R, Chen Q, Liu Y, Qin W. IoT gateway: bridging wireless sensor networks into Internet of Things. 2010 IEEE/IFIP International Conference on Embedded and Ubiquitous Computing (EUC), Hong Kong, China. 2010. p. 347–352. doi:10.1109/EUC.2010.58.
  10. Raj SV. Implementation of pervasive computing based high-secure smart home system. 2012 IEEE International Conference on Computational Intelligence and Computing Research, Coimbatore, India. 2012. p. 1–8. doi:10.1109/ICCIC.2012.6510231.
  11. Mustafa MF, Navaranjan N, Demirovic A. Food cold chain logistics and management: A review of current development and emerging trends. J Agric Food Res. 2024;18:101343.
  12. Lee MH, Yoe H. Comparative analysis and design of wired and wireless integrated networks for wireless sensor networks. 5th ACIS International Conference on Software Engineering Research, Management & Applications (SERA 2007), Busan, Korea (South). 2007. p. 518–522. doi:10.1109/SERA.2007.65.
  13. Burcham CL, Florence AJ, Johnson MD. Continuous manufacturing in pharmaceutical process development and manufacturing. Annu Rev Chem Biomol Eng. 2018;9:253–281. doi:10.1146/annurev-chembioeng-060817-084355. PubMed PMID: 29879381.
  14. Zheng P, Ni L. Smart Phone and Next Generation Mobile Computing. Burlington (MA): Elsevier; 2010.
  15. Bouazzi IR, Zaidi MM, Shati R, Bedywi L, Alahmari S, Al Qahtani R, et al. Medication cold chain improvement by using IoT-based smart tracking: A case study in KSA. Eng Res Express. 2025;7:015266. doi:10.1088/2631-8695/adb5d8.
  16. Danladi MS, Baykara M. Design and implementation of temperature and humidity monitoring system using LPWAN technology. Ing Syst Inf. 2022;27:521–529. doi:10.18280/isi.270401.
  17. Anuar NA, Jalaludin NA, Sadun AS. Temperature and humidity monitoring system. Prog Eng Appl Technol. 2024;5(1):259–266.
  18. Tiwari M, Narang D, Goel P, Gadhwal A, Gupta A, Chawla A. Weather monitoring system using IoT and cloud computing. Int J Adv Sci Technol. 2020;29(123):2473–2479.
  19. Jamhari CA, Wibowo WK, Annisa AR, Roffi TM. Design and implementation of IoT system for aeroponic chamber temperature monitoring. 2020 Third International Conference on Vocational Education and Electrical Engineering (ICVEE), Surabaya, Indonesia. 2020. p. 1–4. doi:10.1109/ICVEE50212.2020.9243213.
  20. Seman MTA, Abdullah MN, Ishak MK. Monitoring temperature, humidity and controlling system in industrial fixed room storage based on IoT. J Eng Sci Technol. 2020;15(6):3588–3600.
  21. Haleem RM, Salem MY, Fatahallah FA, Abdelfattah LE. Quality in the pharmaceutical industry – A literature review. Saudi Pharm J. 2015;23:463–469. doi:10.1016/j.jsps.2013.11.004. PubMed PMID: 26594110.
  22. Lakdawalla DN. Economics of the pharmaceutical industry. J Econ Lit. 2018;56:397–449.
  23. Swati K, Avinash D, Ravindranath S. Quality assurance and quality management in pharmaceutical science and pharmaceutical industry. J Drug Deliv Ther. 2019;9:1–10.
  24. Naranje RA, Kale KJ, Chavan PKP, Shirke OA, Wakchaure KN, Kumar N. Doodle Bot: An advanced robot to draw complex geometrical shapes. 2024 4th International Conference on Innovative Practices in Technology and Management (ICIPTM), Noida, India. 2024. p. 1–5. doi:10.1109/ICIPTM59628.2024.10563881.
  25. Naranje RA, Kale KJ, Chavan PP, Kumar V, Kumar N. Development of 5 axis robotic manipulator for material handling and sorting. In: Giorgetti M, Agarwal RK, Chen M, Peng H, editors. Advances in Machinery, Materials Science and Engineering Application X. Amsterdam: IOS Press; 2024. p. 547–553. doi:10.3233/ATDE240672.
Regular Issue Subscription Review Article
Volume 04
Issue 01
Received 21/01/2026
Accepted 06/03/2026
Published 20/03/2026
Publication Time 58 Days
5

Login


My IP

PlumX Metrics