Flood Early Warning System by Twitter Using LoRa

Proceedings

Alberoni, Cristian¹  Leon, Ernesto²  Hernández-Nolasco, Jose A.³  Wister, Miguel⁴ 

[1] Authors to whom correspondence should be addressed.;Juarez Autonomous University of Tabasco, Carr. Cunduacan-Jalpa Km. 0.5, C.P. 86690 Cunduacan, Tabasco, Mexico;Presented at the 12th International Conference on Ubiquitous Computing and Ambient Intelligence (UCAmI 2018), Punta Cana, Dominican Republic, 4–7 December 2018.;These authors contributed equally to this work.

关键词: early warning system;    level measurement;    Twitter;    floods;    LoRa;    river overflows;    Raspberry Pi;   

DOI  :  10.3390/proceedings2191213

学科分类：社会科学、人文和艺术（综合）

来源: mdpi

【 摘 要 】

In this paper, a sensor network architecture is presented. This work proposes an early warning system for river overflows. The sensor network consists of a river level sensor node that measures the distance between the sensor and the mass of water using a precision ultrasonic sensor. The recorded information is transmitted to a receiving node by radio frequency (915 MHz) using LoRa modulation. The receiving node is implemented in a Raspberry Pi, it processes the information in real time and publishes the alert using a social network (Twitter). Finally, a prototype of the river level node was tested, obtaining a measurement range from 20 cm to 2 m. The receiving node was located 500 m away from the sensor node, that received the data packets sent without loss of data.

【 授权许可】

CC BY