Design of Flood Warning System Based IoT and Water Characteristics

Abstract

Indonesia is one of the tropical country with high rainfall. It causes a flood disaster that with the loss of property and life. Currently handling flood disasters in developing countries are still using many conventional ways. By using conventional way the flood early warning system is still not able to reach the wider community so that information too late of impending disaster received by the public. Besides that the speed of information is needed in the handling of disasters. Therefore a rapid flood warning system that can reach a wide area such as the internet is necessary to minimize the effects of disasters. IoT (Internet of Thing) is smart technology which has capability to send data in real time, connected to the smart phone, sensor and web service. This ability can be used for smart application to control and manage an early warning system. In this research we also use IoT technology to monitor and control the early detection system of flood disaster. By using IoT technology, sensor data can be sent in real time from sensor to smartphone through internet network. The sensor data contains the water characteristics data on the dam that will be processed in the data base. The processing data of water characteristic will be a decision of hazard level. That decision will be sent to users as notification into the user smartphone application. This research will be useful for deeply research on disaster management system and flood early detection system in Indonesia.

Design of Flood Early Detection Based on the Internet of Things and Decision Support System

“…Another significant limitation is the reach and speed of conventional systems, which are often not sufficient to alert the broader community in time to mitigate the impacts of impending disasters. As noted by Yuliandoko et al [15], the use of IoT technology in flood detection can significantly enhance the speed and reach of warnings, allowing real-time data transmission and more effective community alerts. The convergence of the Internet of Things (IoT) and sophisticated decision support systems provides an unprecedented opportunity to revolutionize flood early detection and response [16,17].…”

“…The Internet of Things, a transformative technological paradigm, has become instrumental in defining how we collect, process, and analyze data from multiple sources [18][19][20][21][22][23]. IoT's ability to connect sensors, devices, and data analysis tools in real-time can improve the monitoring of environmental parameters critical for flood prediction [20,[24][25][26][27]. In addition, integrating decision support systems can empower stakeholders with the insights needed to make timely and informed decisions, thereby reducing flood-related risks and damages [28].…”

Computer Vision and IoT-Based Sensors in Flood Monitoring and Mapping: A Systematic Review

“…IoT and computational models such as artificial neural network (ANNs) [11] have opened up new doorways, allowing the design of new hardware and software to provide real-time water-level data as required for flood monitoring and forecasting [12]. Today, many flood-prone countries, including the tropical nation of Indonesia that suffers from annual monsoonal rainfall, are exploring IoT sensors to gather intelligence for issuing early warnings and evacuate orders to people at risk of major floods [13]. The IoT has gained increased popularity in the last decade, particularly within the context of smart city applications such as real-time monitoring of urban drainage networks using wireless sensors [14].…”

Riverbank Monitoring using Image Processing for Early Flood Warning System via IoT

“…Here some current survey on IoT-based flood monitoring using computer vision and AI [6], [7]. The various implementation of work on flood and disaster monitoring system work using IoT [8][9][10][11][12][13][14][15]. There is also a flood monitoring with notification alert via SMS [16] and android application [17].…”