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A Smart WiFi Multi-Sensor Node for Fire Detection Mechanism Based on Social Network

机译:基于社交网络的智能WiFi多传感器火灾探测机制节点

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摘要

A small device with WiFi multi-sensing element is very important under a social digital century . This study aims to implement the hardware and the power of the algorithm with WiFi technologies. Especially, the multi-sensors have to reinforce around a home area and support to any requirement in the term of digital society. This study focus to care the home security— on going to the fire detection with applying several technologies based on a Cloud. Firstly, the multi-sensor calibration has used calibration time and self-calibration as the Finite Impulse Response (FIR). Next, the Full-Scale Kalman Filter (FSKF) helps to fill data and estimate the accuracy data. After that, the fire detection mechanism has used Fuzzy logic to detect and send alert messages over an IFTTT process. There are changed following event-- the data range of fire proportion inside the home. Furthermore, The OFF-Mode has reduced the power consumption suddenly the WiFi module is sent the sensor data to the Cloud. Finally, the WiFi multi-sensor node will use more than one sensor as the same detector will be a high stability and high accuracy.
机译:在社会数字时代,具有WiFi多感测元件的小型设备非常重要。本研究旨在利用WiFi技术来实现算法的硬件和功能。尤其是,多传感器必须在家庭区域周围进行加固,并支持数字社会中的任何要求。这项研究的重点是照顾家庭安全-应用基于云的多种技术进行火灾检测。首先,多传感器校准使用校准时间和自校准作为有限脉冲响应(FIR)。接下来,满量程卡尔曼滤波器(FSKF)有助于填充数据并估算精度数据。此后,火灾探测机制已使用模糊逻辑通过IFTTT进程检测并发送警报消息。以下事件发生了变化-房屋内火灾比例的数据范围。此外,“关闭”模式突然降低了功耗,WiFi模块将传感器数据发送到云端。最后,WiFi多传感器节点将使用多个传感器,因为同一检测器将具有很高的稳定性和准确性。

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