In the current scenario, the concept of Smart Cities is one of the emerging and challenging research areas. The cities are surrounded by forests, agricultural land, or open areas, where fire incidence can occur threatening human life and causing many resources to become extinct. This article aims to design an early fire detection system to get rid of fire events using the concept of senor network and UAV’s technology. The architecture proposal is based on sensors for monitoring environmental parameters and to process the information through sensors and IoT application. The proposed fire detection system is the combination of wireless sensor technologies, UAVs, and cloud computing. Some image processing techniques are also integrated into the proposed fire detection system to identify the fire event with better accuracy and used as an integrated solution. To improve the true detection rate, rules are also designed. The simulation results of the proposed fire detection system are compared with several existing methods. It is observed that the proposed system has a higher fire detection rate to improve the true detection of forest fire from 95 to 98 percent.

在当前情况下，智能城市的概念是新兴且具有挑战性的研究领域之一。这些城市被森林，农业用地或空旷地区所包围，可能发生火灾，威胁到人类的生命并导致许多资源灭绝。本文旨在设计一种早期火灾探测系统，以利用传感网络和无人机技术来消除火灾。该架构建议基于用于监视环境参数并通过传感器和IoT应用程序处理信息的传感器。拟议的火灾探测系统是无线传感器技术，无人机和云计算的结合。一些图像处理技术也被集成到提议的火灾检测系统中，以更好地识别火灾事件，并用作集成解决方案。为了提高真实检测率，还设计了规则。将拟议的火灾探测系统的仿真结果与几种现有方法进行了比较。可以看出，提出的系统具有更高的火灾探测率，可以将森林火灾的真实探测率从95％提高到98％。