The LoRa technology enables long distance links with reduced power consumption at low cost, the main limitation being the low bandwidth that it offers. With LoRa, remote locations, like rural areas, can benefit from connectivity based services that would otherwise be impossible. In this work, we describe a LoRa architecture that can include generic external data sources using an MQTT-based interface. We particularly focus on audio sources aiming to two basic services: a voice messaging system that allows users who cannot read or write to send voice notes, and an audio compression service to extract the main features from the audio input to use it for developing intelligent ML-based audio analytics.

LoRa技术以低成本降低了功耗，从而实现了长距离链接，主要限制是它提供的低带宽。借助LoRa，偏远地区（如农村地区）可以从基于连接的服务中受益，而这些服务原本是不可能的。在这项工作中，我们描述了一种LoRa体系结构，该体系结构可以使用基于MQTT的接口包含通用的外部数据源。我们特别关注针对两种基本服务的音频源：一个语音消息系统，该系统允许无法读写的用户发送语音便笺；以及音频压缩服务，从音频输入中提取主要功能，以将其用于开发智能ML。基于音频的分析。