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A Real-Time Surveillance System for Vaccine Cold Chain Based o n Internet of Things Technology

  • Shao-jun Jiang (Hebei Key Laboratory of Optical Fiber Biosensing and Communication Devices, Institute of Information Technology, Handan University) ;
  • Zhi-lai Zhang (Hebei Key Laboratory of Optical Fiber Biosensing and Communication Devices, Institute of Information Technology, Handan University) ;
  • Wen-yan Song (Shool of Economics and Management, Beihang University (Beijing University of Aeronautics and Astronauti)
  • Received : 2022.08.04
  • Accepted : 2022.10.29
  • Published : 2023.06.30

Abstract

In this study, a real-time surveillance system using Internet of Things technology is proposed for vaccine cold chains. This system fully visualizes vaccine transport and storage. It comprises a 4G gateway module, lowpower and low-cost wireless temperature and humidity collection module (WTHCM), cloud service software platform, and phone app. The WTHCM is installed in freezers or truck-mounted cold chain cabinets to collect the temperature and humidity information of the vaccine storage environment. It then transmits the collected data to a gateway module in the radiofrequency_physical layer (RF_PHY). The RF_PHY is an interface for calling the bottom 2.4-GHz transceiver, which can realize a more flexible communication mode. The gateway module can simultaneously receive data from multiple acquisition terminals, process the received data depending on the protocol, and transmit the collated data to the cloud server platform via 4G or Wi-Fi. The cloud server platform primarily provides data storage, chart views, short-message warnings, and other functions. The phone app is designed to help users view and print temperature and humidity data concerning the transportation and storage of vaccines anytime and anywhere. Thus, this system provides a new vaccine management model for ensuring the safety and reliability of vaccines to a greater extent.

Keywords

Acknowledgement

This work was supported by the Handan Science and Technology Research and Development Plan Project (No. 21422031157) and the university-level project of Handan College (No. 16204). This study was also supported by the National Natural Science Foundation of China (No. 71971012).

References

  1. S. Reid, "Vaccine safety," The New Zealand Medical Journal (Online), vol. 133, no. 1510, pp. 83-85, 2020.
  2. B. Huang, "The new China vaccine administration law: re-establishing confidence in vaccines," Biologicals: Journal of the International Association of Biological Standardization, vol. 61, pp. 95-96, 2019. https://doi.org/10.1016/j.biologicals.2019.08.007
  3. M. Pivetti, G. Melotti, and C. Mancini, "Vaccines and autism: a preliminary qualitative study on the beliefs of concerned mothers in Italy," International Journal of Qualitative Studies on Health and Well-Being, vol. 15, no. 1, article no. 1754086, 2020. https://doi.org/10.1080/17482631.2020.1754086
  4. Y. Ma, L. Xu, and Y. Sun, "Utilizing IoT(Internet of Things) technology to build vaccine cold chain monitoring systems," Chinese Rural Health Service Administration, vol. 34, no. 1, pp. 41-43, 2014.
  5. P. Zhang, "Research on vaccine safety collaborative management mechanism from the perspective of cutting-edge technology," Modern Information Technology, vol. 2021, no. 10, pp. 167-170, 2021.
  6. J. Stepien, J. Kolodziej, and W. Machowski, "Mobile user tracking system with ZigBee," Microprocessors and Microsystems, vol. 44, pp. 47-55, 2016. https://doi.org/10.1016/j.micpro.2016.02.007
  7. D. A. N. Gookyi and K. Ryoo, "Selecting a synthesizable RISC-V processor core for low-cost hardware devices," Journal of Information Processing Systems, vol. 15, no. 6, pp. 1406-1421, 2019.
  8. X. Shen, W. Shao, Z. Zhang, and P. Xu, "Hotel intelligent guidance system based on ZigBee Technology," Microprocessors and Microsystems, vol. 77, pp. 103160, 2020. https://doi.org/10.1016/j.micpro.2020.103160
  9. G. Anastasi, M. Conti, M. Di Francesco, and V. Neri, "Reliability and energy efficiency in multi-hop IEEE 802.15. 4/ZigBee wireless sensor networks," in Proceedings of the IEEE symposium on Computers and Communications, Riccione, Italy, 2010, pp. 336-341.
  10. W. T. Sung and T. C. Hsu, "Designing an industrial real-time measurement and monitoring system based on embedded system and ZigBee," Expert Systems with Applications, vol. 38, no. 4, pp. 4522-4529, 2011. https://doi.org/10.1016/j.eswa.2010.09.126
  11. A. S. Deese and J. Daum, "Application of ZigBee-based internet of things technology to demand response in smart grids," IFAC-PapersOnLine, vol. 51, no. 28, pp. 43-48, 2018. https://doi.org/10.1016/j.ifacol.2018.11.675
  12. J. Xiao and J. T. Li, "Design and implementation of intelligent temperature and humidity monitoring system based on ZigBee and WiFi," Procedia Computer Science, vol. 166, pp. 419-422, 2020. https://doi.org/10.1016/j.procs.2020.02.072
  13. J. Mu and L. Han, "Performance analysis of the ZigBee networks in 5G environment and the nearest access routing for improvement," Ad Hoc Networks, vol. 56, pp. 1-12, 2017. https://doi.org/10.1016/j.adhoc.2016.10.006
  14. L. C. Huang, H. C. Chang, C. C. Chen, and C. C. Kuo, "A ZigBee-based monitoring and protection system for building electrical safety," Energy and Buildings, vol. 43, no. 6, pp. 1418-1426, 2011. https://doi.org/10.1016/j.enbuild.2011.02.001
  15. W. Zhou, P. Li, Q. Wang, and N. Nabipour, "Research on data transmission of wireless sensor networks based on symmetric key algorithm," Measurement, vol. 153, article no. 107454, 2020. https://doi.org/10.1016/j.measurement.2019.107454
  16. B. Jia and M. Kang, "Software design of host computer for file transmission in embedded system based on QT," Electronic Design Engineering, vol. 30, no. 3, pp. 122-125, 2022.
  17. J. Yu and Q. Bao, "Design of population information system based on ThinkPHP," Information Technology and Informatization, vol. 2022, no. 2, pp. 9-12, 2022.