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Open Access
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Yash Khetade, Mitali Panzade, Yash Marode, M. N. Kakatkar
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- Student, Student, Student, Student Department of Electronics & Telecommunication Engineering, Sinhgad College of Engineering, Vadgoan (BK), Pune, 411041, Department of Electronics & Telecommunication Engineering, Sinhgad College of Engineering, Vadgoan (BK), Pune, 411041, Department of Electronics & Telecommunication Engineering, Sinhgad College of Engineering, Vadgoan (BK), Pune, 411041, Department of Electronics & Telecommunication Engineering, Sinhgad College of Engineering, Vadgoan (BK), Pune, 411041 Maharashtra, Maharashtra, Maharashtra, Maharashtra India, India, India, India
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Abstract
nThe innovative project “Geo-Alert: IoT Based Weather Station” uses Internet of Things, or IoT, technologies to monitor and respond to environmental circumstances, such as flood hazards, weather variations, and seismic events. This system sends real-time data to the Blynk IoT cloud, enabling seamless remote monitoring and analysis. It does this by utilising a combination of specialised sensors, such as vibration sensors for earthquake detection, DHT11 and MQ series sensors for weather tracking, and Raindrop and Ultrasonic sensors for flood monitoring. By providing an integrated platform for the acquisition and accessibility of crucial environmental data, this initiative seeks to fortify early warning capabilities, disaster preparedness, and our comprehension of local weather dynamics and geological phenomena. The goal is to increase community safety and resilience to natural disasters.
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Keywords: Remote data analysis, community resilience, disaster preparedness, environmental sensing, IoT weather monitoring
n[if 424 equals=”Regular Issue”][This article belongs to Research & Reviews : Journal of Space Science & Technology(rrjosst)]
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References
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- Karthik, K. R. (2019). “IoT-based Smart Agriculture: An Extensive Review.” International Journal of Scientific Research in Science, Engineering and Technology, 5(4), 1–8.
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- Dewan, A. (2017). “Climate Change and India: Issues and Priorities.” Indian Journal of Science and Technology, 10(7), 1–10.
- Mandal, B., & Maiti, A. S. (2016). “Early Warning and Disaster Management in India: An Overview.” International Journal of Disaster Risk Reduction, 17, 198–209.
- Nayak, Rajashree. (2018). “Smart City Development in India: A Review.” International Journal of Scientific Research and Management, 6(1), 162–167.
- Bhattacharyya, S. K., & Keshari, A. K. (2015). “Data Management for Sustainable Development.
- Tobiska WK. Space weather management. In47th AIAA Aerospace Sciences Meeting including The New Horizons Forum and Aerospace Exposition 2009 (p. 1494).
- Nagatsuma T. System for Issuing and Distributing Space-Weather Reports. Journal of the Communications Research Laboratory. 2001 Jun;48(2):63–70.
- Joselyn J, Heckman G, Zwickl R. The Space Weather Program at the NOAA Space Environment Center. InSpace Programs and Technologies Conference 1995 (p. 3569).
- Podolskaia ES. REMOTE SENSING DATA FROM SPACEFOR ROAD IMAGE RECOGNITION IN THE FORESTRY. Вопросы лесной науки. 2023;6(1):90–104.
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Research & Reviews : Journal of Space Science & Technology
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| Volume | 13 | |
| [if 424 equals=”Regular Issue”]Issue[/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] | 01 | |
| Received | May 13, 2024 | |
| Accepted | June 3, 2024 | |
| Published | June 10, 2024 |
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