Advance Warning and Alert System for Detecting Lightning Risk to Reduce Human Disaster Using AIoT Platform—A Proposed Model to Support Rural India

Nerella, Ome; Ahmed, Syed Musthak

doi:10.1007/978-981-19-8086-2_87

Cited by 7 publications

(2 citation statements)

References 11 publications

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“…It contends that the current lightning alarm systems, which hinge on radar and satellite technologies, are costly and fail to extend their reach into remote regions (Nerella & Ahmed, 2023). To surmount these limitations, the proposed solution harnesses the amalgamation of the Internet of Things (IoT) and arti cial intelligence (AI) technologies.…”

Section: Future Prospects and Emerging Technologiesmentioning

confidence: 99%

The Impact of IoT and Sensor Integration on Real-Time Weather Monitoring Systems: A Systematic Review

Selvam,

Al-Humairi

2023

Preprint

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The observation of weather and its impact on human life is undeniable. Weather observations are essential for various sectors, including agriculture, transportation, aviation, and disaster management. Therefore, the collection of data on weather variations is crucial. However, the transient nature of weather variations makes it difficult to collect accurate and real-time data. To overcome this challenge, researchers have developed smart real-time weather monitoring systems integrated with mobile applications. These systems utilize various frameworks, technologies, and techniques, including the Internet of Things (IoT), Arduino, machine learning algorithms, deep learning algorithms, and sensors that measure temperature, humidity, wind speed, and wind direction. These systems provide real-time data on weather conditions, enabling individuals to make informed decisions. The primary objective of this review paper is to critically examine and elaborate on multiple research studies that focus on integrating smart real-time weather monitoring systems with mobile applications. The aim is to understand the techniques, methodologies, and technologies employed in designing and developing such systems. One of the key findings of this review is that integrating smart real-time weather monitoring systems with mobile applications has significant potential to improve weather forecasting and monitoring. For instance, machine learning algorithms can analyze sensor data to identify patterns and accurately predict future weather conditions. Additionally, integrating cloud computing technology in these systems allows for secure data storage, making it accessible to validated individuals from anywhere. In conclusion, integrating smart real-time weather monitoring systems with mobile applications has enormous potential in improving weather forecasting and monitoring. Various frameworks, technologies, and techniques have enabled researchers to develop sophisticated systems that collect accurate and real-time data on weather conditions. These systems significantly affect various sectors, including agriculture, transportation, aviation, and disaster management.

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Section: Future Prospects and Emerging Technologiesmentioning

confidence: 99%

The Impact of IoT and Sensor Integration on Real-Time Weather Monitoring Systems: A Systematic Review

Selvam,

Al-Humairi

2023

Preprint

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“…These alert methods are not reaching the rural people due to lack of the literature and poor network facilities. Nerella and Ahmed [18] proposed a low cost an AIoT-based lightning alert system to alert rural people in advance about lightning based on weather prediction to reduce lightning disaster.…”

Section: Literature Reviewmentioning

confidence: 99%

Experimental Evaluation of Lightning and Weather Alert Methods in Rural India using LoRa and IoT Technology with Nanosensors

Nerella¹,

Ahmed²,

Balakrishnan

2023

Journal of Nanomaterials

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Every year, ∼2,000 people are killed by lightning in India, with rural areas accounting for 94% of all lightning deaths. In rural locations, a weather and lightning alert system is crucial for alerting and raising awareness about severe weather and lightning. Only a few states in India have expensive lightning alert systems that send out alerts via SMS and mobile apps. Due to a lack of information about weather alert apps, poor network facility, low literacy, and less usage of smartphones, existing alert mechanisms is not reaching all rural populations. As a result, there is a need to build a low-cost lightning alert system in rural areas that alerts and creates awareness in advance about lightning to rural residents using a variety of alerting methods, such as announcements, sirens, WhatsApp, voice call alerts, and email, in addition to existing alert methods to overcome limitations of existing systems. In order to achieve this, we have developed an IoT- and long range (LoRa)-based weather stations, gateways, and announcement systems using ESP32, nanosensors (DHT11, BMP180, rain sensor, and LDR), lightning detector (AS3935), lightning emulator, Arduino Nano, SD card module, and speakers. This prototype is tested in real time by creating lightning radiation using an emulator shield and by monitoring environmental parameters. It sends an alert to authorized persons/village government officials/rural communities through WhatsApp, email, and voice call about abnormal weather situations with the help of cloud platforms. It also alerts and creates safety awareness to rural people in advance about lightning/critical weather condition through announcement system using loudspeakers. In the future, the proposed system will be trained using artificial intelligence to predict the lightning and other hazardous weather situations in advance and alert rural residents about critical weather conditions in early.

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Development of LoRa-Based Weather Monitoring and Lightning Alert System in Rural Areas Using IoT

Nerella,

Ahmed

2024

Lecture Notes in Electrical Engineering

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Advance Warning and Alert System for Detecting Lightning Risk to Reduce Human Disaster Using AIoT Platform—A Proposed Model to Support Rural India

Cited by 7 publications

References 11 publications

The Impact of IoT and Sensor Integration on Real-Time Weather Monitoring Systems: A Systematic Review

The Impact of IoT and Sensor Integration on Real-Time Weather Monitoring Systems: A Systematic Review

Experimental Evaluation of Lightning and Weather Alert Methods in Rural India using LoRa and IoT Technology with Nanosensors

Development of LoRa-Based Weather Monitoring and Lightning Alert System in Rural Areas Using IoT

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