Artificial intelligence (Al)-powered environmental monitoring system for detecting early signs of disasters e.g. floods, that leverages advanced internet of things (IoT) analytics and dynamic threshold analysis to improve accuracy of identifying potential disaster events
	VASIKA S; SUDHEKSHA M S; SHANDHIYA S; PRAVINA E; PEARLIN R T
	2025-04-02
专利权人	VASIKA S (VASI-Individual) ; SUDHEKSHA M S (SUDH-Individual) ; SHANDHIYA S (SHAN-Individual) ; PRAVINA E (PRAV-Individual) ; PEARLIN R T (PEAR-Individual)
申请日期	2025-04-02
专利号	IN202541032478-A
成果简介	NOVELTY - The system that leverages advanced internet of things (IoT) analytics and dynamic threshold analysis to improve the accuracy of identifying potential disaster events such as floods and earthquakes. The system significantly reduces disaster response times compared to traditional methods. The automated. All-in-one design minimizes operational costs by eliminating the need for multiple disconnected monitoring systems and reduces manual intervention. USE - Al-powered environmental monitoring system for detecting early signs of disasters e.g. floods and earthquakes in public safety and industrial sites and natural ecosystems. ADVANTAGE - The system ensures greater accessibility, a dedicated website and developed using visual studio code and complements the system by displaying data and controls.The AI analytics is user-friendly design that forms a smart, scalable, and reliable solution for real-time disaster management, while minimizing risks and enhancing safety and resilience. The loT devices collect real-time environmental data, while enabling AI to analyze and detect early signs of disasters for faster response and management. DESCRIPTION OF DRAWING(S) - The drawing shows a block diagram of an Al-powered environmental monitoring system for detecting early signs of disasters.
IPC 分类号	G06F-009/451 ; G06Q-010/101 ; G08B-019/00 ; G08B-021/10 ; H04L-067/12
国家	印度
专业领域	信息技术
语种	英语
成果类型	专利
文献类型	科技成果
条目标识符	http://119.78.100.226:8889/handle/3KE4DYBR/13214
专题	中国科学院新疆生态与地理研究所
作者单位	1.VASIKA S (VASI-Individual) 2.SUDHEKSHA M S (SUDH-Individual) 3.SHANDHIYA S (SHAN-Individual) 4.PRAVINA E (PRAV-Individual) 5.PEARLIN R T (PEAR-Individual)
推荐引用方式 GB/T 7714	VASIKA S,SUDHEKSHA M S,SHANDHIYA S,et al. Artificial intelligence (Al)-powered environmental monitoring system for detecting early signs of disasters e.g. floods, that leverages advanced internet of things (IoT) analytics and dynamic threshold analysis to improve accuracy of identifying potential disaster events. IN202541032478-A[P]. 2025.

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