Advance Warning and Alert System for Detecting Lightning Risk to Reduce Human Disaster Using AIoT Platform—A Proposed Model to Support Rural India
2023; Springer Nature; Linguagem: Inglês
10.1007/978-981-19-8086-2_87
ISSN2195-3988
AutoresOme Nerella, Syed Musthak Ahmed,
Tópico(s)Impact of Light on Environment and Health
ResumoLightning is one of the serious natural calamities, which has led to several deaths in our country. Around 2000 people lost their lives every year due to the lightning risk in India. According to Annual Lightning Report 2020–2021, the lightning deaths recorded 96% in rural areas and 4% in urban areas. The primary causes of lightning deaths are mainly due to standing under tree, indirect hit, and direct hit. Present lightning alert systems are based on satellite and radar systems, which are expensive due to the processing of the lightning data. Existing lightning alert information is not reaching to the rural areas due to low literacy, less usage of smart phones and also due to lack of awareness about lightning effects and causes and also lack of knowledge on alert apps. Therefore, there is a need to bring awareness among rural population about the effects of lightning disasters and/or alerting them of the consequences. The proposed paper presents a method to predict the lightning and alert them to overcome disaster. Here, artificial intelligence (AI) along with Internet of Things (IoT) is incorporated to alert the rural people in advance about lightning by various means such as announcement system, voice calls, alerting by sounding horn, WhatsApp messages, and mobile apps. The proposed system takes real-time weather and lightning data from many weather stations into account, and it has been trained to predict lightning situations using machine learning algorithm and making alert to the rural areas.
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