THE INTEGRATION OF IOT AND MATHEMATICAL MODELS IN CLIMATE CHANGE MITIGATION
DOI:
https://doi.org/10.17721/2519-481X/2024/84-08Keywords:
internet of things, mathematical model, dynamical system, external forcing, governing equationAbstract
A strategy for using IoT devices to collect real-time environmental data that takes into account the most significant indicators is described. The advantages of using the Internet of Things have also been determined, which makes it possible to monitor the state of the climate in a convenient mode with high accuracy and speed. Because the task of analyzing using mathematical models to optimize energy efficiency, monitor air quality, and strengthen sustainability efforts is complex, it requires the involvement of specific specialists, such as systems analysts, mathematicians, and climatologists. Temperature, humidity and precipitation, among others, are parameters obtained by using Internet of Things devices for analysis. Climate models such as dynamic systems and simple low-order models for studying climate variability are considered, and equations of momentum, thermodynamics, specific humidity, non-primary, hydrostatic and thermodynamics connecting variable states are also described. The use of these equations within the considered models and the values of their parameters are explained, some of which are the result obtained with the help of Internet of Things technologies. It also describes the necessary technologies needed to build an Internet of Things network: microcircuits, sensors, embedded computer, wireless network and protocols.
Climate models of varying degrees of complexity are used to predict climate change and variability on a global and regional scale. Mathematical and climate models are very important for preparing society for the development and implementation of so-called adaptation strategies and measures necessary to reduce the effects of climate change. Adaptation is understood as the process of society getting used to current and predicted changes in the climate system and its impacts. The scientific novelty of the research is determined by the fact that for the first time a review of the integration of IoT and mathematical models for environmental protection was carried out, which made it possible to understand the regularities of the construction of these mathematical models and to reveal the regularities of such integration.
The obtained research results, both theoretically and practically, serve as the basis for further scientific and applied works aimed at improving and improving various aspects of the use of "Internet" devices of things" to collect real-time environmental data and further analyze it using mathematical models to optimize energy efficiency, monitor air quality and strengthen sustainability efforts. The described strategy of using the Internet of Things and mathematical models is important for the life of any person, the work of enterprises and authorities. In the long term, the use of Internet of Things technologies and mathematical models in mitigating the effects of climate change can have a positive impact on the development of the entire human civilization.
References
1. Saeed, N., Al-Naffouri, T. Y., Alouini, M. S. (2020). Around the world of IoT/climate monitoring using internet of X-things. IEEE Internet of Things Magazine, 3(2), 82-83 p.
2. Muslim, M. A., Setyawan, R. A., Basuki, A., Razak, A. A., Hario, F. P., Fernando, E. (2021). IOT based climate monitoring system. In IOP Conference Series: Earth and Environmental Science (Vol. 746, No. 1, p. 012044). IOP Publishing.
3. Rahut, Y., Afreen, R., Kamini, D., Gnanamalar, S. S. (2018). Smart weather monitoring and real time alert system using IoT. International Research Journal of Engineering and Technology, 5(10), 848-854 p.
4. Fang, S., Da Xu, L., Zhu, Y., Ahati, J., Pei, H., Yan, J., Liu, Z. (2014). An integrated system for regional environmental monitoring and management based on internet of things. IEEE Transactions on Industrial Informatics, 10(2), 1596-1605 p.
5. Kishorebabu, V., Sravanthi, R. (2020). Real time monitoring of environmental parameters using IOT. Wireless Personal Communications, 112(2), 785-808 p.
6. Ullah, I., Fayaz, M., Aman, M., Kim, D. (2022). An optimization scheme for IoT based smart greenhouse climate control with efficient energy consumption. Computing, 104(2), 433-457 p.
7. Рябчун, Ю., Середа, Д., Кохан, В., Доля, О. (2023). Можливості та переваги українського ринку технологій «розумний будинок». Управління розвитком складних систем, (56), 181-187 p. [In Ukrainian]
8. Saha, H. N., Auddy, S., Chatterjee, A., Pal, S., Pandey, S., Singh, R., Maity, A. (2017). Pollution control using internet of things (IoT). In 2017 8th Annual Industrial Automation and Electromechanical Engineering Conference (IEMECON), 65-68 p. IEEE.
9. Singh, G., Kumar, G., Bhatnagar, V., Srivastava, A., Jyoti, K. (2019). Pollution management through internet of things: a substantial solution for society. Humanities & Social Sciences Reviews, 7(5), 1231-1237.
10. Soldatenko, S., Bogomolov, A., Ronzhin, A. (2021). Mathematical modelling of climate change and variability in the context of outdoor ergonomics. Mathematics, 9(22), 2920.
11. Arif, M. S., Abodayeh, K., Nawaz, Y. (2022). A computational approach to a mathematical model of climate change using heat sources and diffusion. Civil Engineering Journal, 8(7), 1358-1368.
12. Cantin, G., Ducrot, A., Funatsu, B. M. (2021). Mathematical modeling of forest ecosystems by a reaction–diffusion–advection system: impacts of climate change and deforestation. Journal of Mathematical Biology, 83(6), 66.
13. Chedea, V. S., Drăgulinescu, A. M., Tomoiagă, L. L., Bălăceanu, C., Iliescu, M. L. (2021). Climate change and internet of things technologies – Sustainable premises of extending the culture of the amurg cultivar in Transylvania – A use case for Târnave Vineyard. Sustainability, 13(15), 8170.
