Smart Emergency - A Contextual Framework for Cognitive Understanding of IoT Devices using Big Data Analytics

摘要

Smart city is a developed urban city that includes intelligent systems to improve the quality of citizens' life by providing the smart services. The smart services that are equipped and focused including mobility, transport, technologies, energies, buildings and governance. These services are enhancing the smartness of living at the same time we also need a smart service that handle the emergency situation smartly and in the area of smart emergency services are neither witnessed nor addressed in the smart city scenario. The road accidents are inevitable in the smart city though and it is contemplated to be one of the emergency services that need to be given more important to save the life and require quick smart services. This project addresses the important of emergency services particularly at the time of road accident in the smart environment. This smart emergency services works in perceptive actions of IoT sensors and call for actions that required to save the life of injured and provide intelligent emergency supports to bring back the smart city usage for others rapidly. The system experiments and provide prototype of smart emergency services using IoT sensors, Arduino with Raspberry Pi setup, CoolTerm. The data that are observed during the experiments are analyzed using Apache Zeppelin Bigdata analytical tools. The conclusive result of analytical data to be transmitted wirelessly to enable the required smart emergency services ranging from hospitals ambulances, fire, traffic, cleaning services to services that are bring the smart city back to function normally. The project also emphasizes that the IoT and Big Data bonds closely woven prospects of smart emergency systems.