基于BLE信标和LoRa技术的节能共享单车跟踪系统

Andrew Mackey, P. Spachos, S. Gregori
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引用次数: 3

摘要

在世界各地,城市环境中的公共交通方式已经取得了巨大的进步。然而,在人口密集的地区,自行车仍然是一种非常有用的交通工具。它的规模小,对环境的影响最小,这是保持其相关性的关键因素。此外,联网设备和基于共享的服务的进步使私人供应商能够开发自行车共享计划,使全球数百万人能够使用自行车交通。这些共享单车项目依靠用户将自行车退到指定的自行车存放站并归还。随着物联网(IoT)服务和无线连接设备的发展,使供应商能够跟踪其自行车资产是一个主要的好处。卫星导航已经取得了长足的进步,然而,它需要很大的电力开销。本文提出了一种节能的自行车跟踪系统,该系统利用自行车供电的蓝牙低功耗(BLE)信标和远程(LoRa)型基站来跟踪和维护所有资产的实时位置库存。BLE信标用于根据接收信号强度指示器(RSSI)的接近程度跟踪单个自行车资产,LoRa基站利用更远距离的通信能力在彼此之间传输资产位置信息,以增加管理能力。在城市室外环境中使用BLE信标进行的初步接近估计显示出有希望的结果,接近精度始终低于2米。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Energy Efficient Bike-Share Tracking System with BLE Beacons and LoRa Technology
Around the world, vast improvements in public transportation methods in urban environments have been made. However, in densely populated areas, the bicycle remains a very useful means of transportation. Its small size and minimal environmental impact are the critical factors that maintain its relevance. Moreover, the advancement of connected devices and sharing-based services have allowed private vendors to develop bike-sharing programs, giving millions access to bike transportation around the globe. These bike-sharing programs rely on the user to check out and return the bike to a designated bike-holding station. With the growth of Internet of Things (IoT) services and wirelessly connected devices, there is a major benefit in enabling vendors to track their bicycle assets. Satellite navigation has come a long way, however, it requires a large power overhead. This paper proposes an energy-efficient bicycle tracking system that utilizes bicycle powered Bluetooth Low Energy (BLE) beacons and Long Range (LoRa) type base-stations in order to track and maintain a real-time location-based inventory of all assets. The BLE beacons are used to track individual bicycle assets based on Received Signal Strength Indicator (RSSI) proximity and the LoRa base stations exploit longer range communication capabilities to transmit asset location information between each other, for added management capabilities. Preliminary proximity estimations using BLE beacons in an urban outdoor environment show promising results with proximity accuracy consistently under 2 meters.
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