Rainfall monitoring system with intelligent dam shutter remote control and monitoring based on Internet of Things in industries e.g. agriculture, has network of Internet of Things enabled sensors for collecting and analyzing rainfall data from network of Internet of Things-enabled sensors
	SUSEELA V R; FRISKA J; KANNAN P; RAMYA T; RAJEE M V
	2025-03-30
专利权人	FRANCIS XAVIER ENG COLLEGE (FRAN-Non-standard)
申请日期	2025-03-30
专利号	IN202541031291-A
成果简介	NOVELTY - The system has a network of Internet of Things (IoT) enabled sensors for collecting and analyzing rainfall data from a network of IoT-enabled sensors continuously. The network of IoT enabled sensors ensures accurate real-time monitoring of weather conditions around the dam. Microcontrollers and a centralized control unit are integrated. Dam shutters are adjusted automatically based on rainfall intensity, optimize water flow and avoid potential flooding. USE - Rainfall monitoring system with intelligent dam shutter control based on IoT in industries e.g. agriculture, industry and municipal supply. ADVANTAGE - The system provides timely and accurate data on precipitation patterns to forecast and warn about potential flood events and data for designing and sizing drainage systems, stormwater management facilities, and flood control structures and a user-friendly interface for writing, compiling, and uploading code to the Arduino(Open-source electronics prototyping platform) board, enables authorities to consider preemptive measures to reduce the impacts of flooding on lives, property, and infrastructure, tracks rainfall deficits and drought conditions to assess water availability, manages water resources and water levels in reservoirs to meet demand for irrigation, municipal water supply, industrial use, and environmental conservation, supports environmental conservation efforts, commerce, tourism, recreational boating activities, fish migration, water quality, and riparian ecosystems and the implementation of drought mitigation strategies e.g. water conservation measures and emergency aid distribution, quantifies and analyzes rainfall data to inform decisions on water allocation, reservoir management, and irrigation planning, optimizes the use of water resources and the generation of hydroelectric power by controlling the flow of water through turbines, monitors rainfall intensity, duration and spatial distribution in real-time continuously, rainfall patterns and impacts on ecosystems comprising soil moisture levels, vegetation health, and wildlife habitats, ensures the sustainability of natural resources, a steady and reliable supply of energy while reducing environmental impacts, water availability during dry periods and the safety and stability of dam structures by regulating water flow and avoiding overtopping or structural failure, protects downstream communities and infrastructure from the impacts of flooding and water-related hazards, assesses flood risk, prioritizes infrastructure upgrades to enhance resilience to extreme weather events, regulates the flow of water downstream to avoid flooding during heavy rainfall, snowmelt, or other inflow events, maintains safe water levels in reservoirs and rivers to protect downstream communities, infrastructure and reservoir storage capacity and navigable water levels in rivers and canals to facilitate transportation of goods and passengers by boat or barge and ecosystem health and protect aquatic habitats downstream of the dam, enhances versatility, durability, operational efficiency, overall efficiency in water resource utilization and functionality without requiring major infrastructural overhauls, achieves intelligent automation, reduces manual intervention and flood risks during heavy rainfall while ensuring adequate water release during dry periods, streamlines dam management operations, ensures that operators can remotely access and monitor dam conditions through a centralized interface, allows timely decision-making and improved situational awareness, promotes sustainable water management and dam operators to respond swiftly to changing weather patterns, is designed for compatibility with existing dam control systems, enables timely and precise management of water flow, facilitates efficient development and testing, integrates IoT-based rainfall monitoring with dam shutter control, is compact in size, deploys IoT-enabled rain gauges and sensors, transmits granular data to a central control system and adjusts dam shutter operations autonomously using algorithms and decision-making logic. DESCRIPTION OF DRAWING(S) - The drawing shows a block diagram of the rainfall monitoring system with intelligent dam shutter control based on IoT.
IPC 分类号	A01G-025/16 ; G01N-033/18 ; G01W-001/14 ; G06Q-010/0631 ; G06Q-050/02
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/13312
专题	中国科学院新疆生态与地理研究所
作者单位	FRANCIS XAVIER ENG COLLEGE (FRAN-Non-standard)
推荐引用方式 GB/T 7714	SUSEELA V R,FRISKA J,KANNAN P,et al. Rainfall monitoring system with intelligent dam shutter remote control and monitoring based on Internet of Things in industries e.g. agriculture, has network of Internet of Things enabled sensors for collecting and analyzing rainfall data from network of Internet of Things-enabled sensors. IN202541031291-A[P]. 2025.

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