用于跟踪精神障碍患者的物联网- lora系统:电池容量与运动速度之间的相关性

2018 7th International Conference on Computer and Communication Engineering (ICCCE) Pub Date : 2018-09-01 DOI:10.1109/ICCCE.2018.8539316

A. Nugraha, R. Wibowo, M. Suryanegara, Nur Hayati

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引用次数: 22

摘要

本文研究了所提出的IoT-LoRa设备中电池容量的性能，以跟踪和监测患有精神障碍的患者。电池容量的减少与用户的移动速度相关。分别对患者以1-3 km/h、5-8 km/h和1-30 km/h移动进行了三种实验场景。实时数据从10个不同位置点的两个多节点LoRa单元获取，时间间隔为30分钟。实验进行了113次数据迭代，以确定电池容量百分比和RSSI水平。研究发现，病人移动得越快，电池的容量减少得越大。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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An IoT-LoRa System for Tracking a Patient with a Mental Disorder: Correlation between Battery Capacity and Speed of Movement

This paper investigates the performance of battery capacity in the proposed IoT-LoRa device to track and monitor a patient with a mental disorder. Reduction of battery capacity was correlated against the movement speed of users. Three experimental scenarios were conducted for a patient moving at 1–3 km/h, 5–8 km/h, and 1–30 km/h. The real time data were taken from two multinode LoRa units at 10 different locational points with a time interval of 30 minutes. The experiment had 113 data iterations to determine percentage of battery capacity and RSSI level. It was found that the faster a patient is moving, the greater the capacity of the battery reduces.

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2018 7th International Conference on Computer and Communication Engineering (ICCCE)

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