An Intelligent Smoke Detector System Based on LoRa and Indoor Positioning

Xin-hui XIE, Yue-fei LV, Zheng-yang MU, Peng-xin BIAN, Jie JI, Lian-ming XU, Neng WAN

Abstract


This paper presents an intelligent smoke detector system based on LoRa and indoor positioning to achieve low cost and high maneuverability. The system uses the LPWAN technology to remove the cable connecting each sensor and the server by using a LoRa module with a long distance (urban test 3 - 5km) and low power consumption (approximately 100mw). Transform network cable-used conventional smoke sensor into a Wireless smoke sensors. And match single smoke sensor module with indoor positioning device (iBeacon). The unique UUID of iBeacon help trapped people and firefighters in the fire field to locate their position, which can greatly increase the efficiency of the rescue.

Keywords


Lora, IBeacon, Smoke detector, Indoor positioning


DOI
10.12783/dtcse/CCNT2018/24711

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