Sistem multi-agent pentru monitorizarea și predicția proceselor de mediu

Victor Ababii; Viorel Cărbune; Viorica Sudacevschi; Galina Marusic; Rodica Braniște; Nicu Drumea

doi:10.52673/

Autori

Victor Ababii Universitatea Tehnică a Moldovei https://orcid.org/0000-0002-0769-8144
Viorel Cărbune Universitatea Tehnică a Moldovei https://orcid.org/0000-0002-1556-4453
Viorica Sudacevschi Universitatea Tehnică a Moldovei https://orcid.org/0000-0003-0125-3491
Galina Marusic Universitatea Tehnică a Moldovei https://orcid.org/0000-0002-2984-2055
Rodica Braniște Universitatea Tehnică a Moldovei https://orcid.org/0000-0002-6935-8444
Nicu Drumea Universitatea Tehnică a Moldovei https://orcid.org/0009-0007-0798-729X

DOI:

https://doi.org/10.52673/

Cuvinte cheie:

sistem multi-agent, monitorizare procese de mediu, predicție spațio-temporală, inteligenţă artificială, agenți autonomi, învăţare automată, calitatea aerului, poluanţi atmosferici, senzori inteligenţi

Rezumat

Lucrarea explorează dezvoltarea unui concept de sistem scalabil multi-agent (SMA) destinat monitorizării și predicției proceselor de mediu, abordând provocările legate de organizarea proceselor de calcul distribuit și aplicarea modelelor bazate pe cunoștințe, învățare automată și inteligența artificială. SMA oferă o soluție inovativă bazată pe agenți autonomi care percep mediul înconjurător, colaborează între ei, cu centrul de stocare a datelor și implementează modele avansate de calcul. Dezvoltarea tehnică și tehnologică a sistemului prevede utilizarea unui set de senzori inteligenți și de dispozitive, precum ESP32, care integrează servicii de achiziție, preprocesare a datelor și comunicare în rețea. Sunt elaborate diagrama funcțională a agentului, algoritmul de colaborare între agenți și centrul de stocare a datelor. Procesul de predicție a evenimentelor de mediu se bazează pe aplicarea modelelor de rețele neuronale. Pentru validarea conceptului propus, s-a analizat un scenariu de poluare cu dioxid de carbon și evoluția acestuia în spațiu și timp. Lucrarea demonstrează că sistemele multi-agent pot oferi soluții eficiente și scalabile pentru gestionarea problemelor de mediu, contribuind la prevenirea crizelor și susținerea politicii de protecție a mediului.

Referințe

1. Athanasiadis, I.N. and Mitkas, P.A. An agent‐based intelligent environmental monitoring system. In: Management of Environmental Quality, vol. 15, no. 3, 2004, 238-249, https://doi.org/10.1108/14777830410531216

2. Di Lecce, V., Pasquale C. and Piuri, V. A basic ontology for multi agent system communication in an environmental monitoring system. In: 2004 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications, 2004. CIMSA, Boston, MA, USA, 2004, 45-50, https://doi.org/10.1109/CIMSA.2004.1397228

3. Zheng, H., and Shi, D. A multi-agent system for environmental monitoring using boolean networks and reinforcement learning. In: Journal of Cyber Security, 2(2), 2020, 85-96, https://doi.org/10.32604/jcs.2020.010086

4. Liu, J. and Williams, R.K. Coupled Temporal and Spatial Environment Monitoring for Multi-Agent Teams in Precision Farming. In: 2020 IEEE Conference on Control Technology and Applications (CCTA), Montreal, QC, Canada, 2020, 273-278, https://doi.org/10.1109/CCTA41146.2020.9206322

5. Alotaibi, E., Nassif, N. Artificial intelligence in environmental monitoring: in-depth analysis. In: Discov Artif Intell 4, 84 (2024), https://doi.org/10.1007/s44163-024-00198-1

6. Arabelli, R., Boddepalli, E., Buradkar, M., Goriparti, N.V.S. and Chakravarthi, M.K. IoT-Enabled Environmental Monitoring System Using AI. In: 2024 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI), Chennai, India, 2024, 1-6, https://doi.org/10.1109/ACCAI61061.2024.10602131

7. Ullo, S.L., and Sinha, G.R. Advances in smart environment monitoring systems using IoT and sensors. In: Sensors 2020, 20(11), 3113, 1-18, https://doi.org/10.3390/s20113113

8. Montaser, N.A., Mohammed, A.H., Shin Yee Khoo, Mohammad Alkhedher, Mohammad Alherbawi, Real-time IoT-powered AI system for monitoring and forecasting of air pollution in industrial environment. In: Ecotoxicology and Environmental Safety, 2024, vol. 283, 116856, 1-15, 0147-6513, https://doi.org/10.1016/j.ecoenv.2024.116856

9. Bezborodova, O.E., Bodin, O.N. and Polosin, V.G. Monitoring of Environmental Safety of the Territorial Technosphere on the Basis of Multi-Agent Technology. In: 2018 International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon), Vladivostok, Russia, 2018, 1-6, https://doi.org/10.1109/FarEastCon.2018.8602540

10. Zhai, C., Wang, Z. and Dou, J. Multi-agent coverage control for enhanced geohazard monitoring: a brief review. In: Control Theory Technol., 2021, 19, 418-420, https://doi.org/10.1007/s11768-021-00057-9

11. Ghazi, S., Khadir, T., Dugdale, J. Multi-Agent Based Simulation of Environmental Pollution Issues: A Review. In: Corchado, J.M., et al. Highlights of Practical Applications of Heterogeneous Multi-Agent Systems. The PAAMS Collection. PAAMS 2014. Communications in Computer and Information Science, vol. 430. Springer, 2014, 13-21, https://doi.org/10.1007/978-3-319-07767-3_2

12. Monaco, R., Soares, A.J. A New Mathematical Model for Environmental Monitoring and Assessment. In: Gonçalves, P., Soares, A. (eds) From Particle Systems to Partial Differential Equations. PSPDE 2015. Springer Proceedings in Mathematics & Statistics, vol. 209, 2017, Springer, Cham, https://doi.org/10.1007/978-3-319-66839-0_13

13. Wooldridge, M. An introduction to multiagent systems. Second Edition, John wiley & sons, 2009. 453 p.

14. Horling, B. and Lesser, V. A survey of multi-agent organizational paradigms. In: The Knowledge engineering review, 2004, 19(4), 281-316, (20.XII.2024), https://doi.org/10.1017/S0269888905000317

15. Vallejo, D., Castro-Schez, J. J., Glez-Morcillo, C., & Albusac, J. Multi-agent architecture for information retrieval and intelligent monitoring by UAVs in known environments affected by catastrophes. In: Engineering Applications of Artificial Intelligence, 2020, 87, 103243, https://doi.org/10.1016/j.engappai.2019.103243

16. Oprea, M., Dragomir E. and Cărbureanu, M. On the use of collaborative intelligence in an agent-based environmental monitoring and analysis system. In: 15th International Conference on System Theory, Control and Computing, Sinaia, Romania, 2011, 1-6.

17. Kumar, A., Kim, H. and Hancke, G. P. Environmental Monitoring Systems: A Review. In: IEEE Sensors Journal, vol. 13, no. 4, April 2013, 1329-1339, https://doi.org/10.1109/JSEN.2012.2233469

18. Erickson, P., Cline, M., Tirpankar N. and Henderson, T. Gaussian processes for multi-sensor environmental monitoring. In: The 2015 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), San Diego, CA, USA, 2015, 208-213, https://doi.org/10.1109/MFI.2015.7295810

19. Gupta, R. D., and Bariar, A. Modelling of Gaseous Effiuents by Implementing Gaussian Model under GIS Environment. In: Journal of Environmental Science & Engineering, 48(1), 2006, 21-26.

20. Pudykiewicz, J.A., & Koziol, A.S. The application of Eulerian models for air quality prediction and the evaluation of emission control strategies in Canada. In: International journal of environment and pollution, 16(1-6), 2001, 425-438, https://doi.org/10.1504/IJEP.2001.000638

21. Alessandrini, S., and Ferrero, E. A Lagrangian particle model with chemical reactions: application in real atmosphere. In: International Journal of Environment and Pollution, 2011, 47(1-4), 97-107,

https://doi.org/10.1504/IJEP.2011.047350

22. Sung-Eun, K., Ferit, B. Application of CFD to environmental flows. In: Journal of Wind Engineering and Industrial Aerodynamics, vol. 81, 1999, Issues 1-3, 145-158, https://doi.org/10.1016/S0167-6105(99)00013-6

23. Maier, A., Sharp, A., and Vagapov Y. Comparative analysis and practical implementation of the ESP32 microcontroller module for the internet of things. In: The 2017 Internet Technologies and Applications (ITA), Wrexham, UK, 2017, 143-148, https://doi.org/10.1109/ITECHA.2017.8101926

24. Babiuch, M., Foltýnek P. and Smutný, P. Using the ESP32 Microcontroller for Data Processing, In: The 20th International Carpathian Control Conference (ICCC), Krakow-Wieliczka, Poland, 2019, 1-6, https://doi.org/10.1109/CarpathianCC.2019.8765944

25. Cameron, N. ESP32 Microcontroller. In: ESP32 Formats and Communication. Maker Innovations Series. Apress, Berkeley, CA, 2023, 1-54, https://doi.org/10.1007/978-1-4842-9376-8_1

26. Lutz, M. Programming python. O'Reilly Media, Inc. 2010.