【视频资源分享】LoRa物联网行业解决方案
众所周知，LoRa（Long Range）是一种低功耗广域网（LPWAN）技术，专为远距离通信和低功耗设备设计。它由Semtech公司开发，广泛应用于物联网（IoT）领域。以下是LoRa的一些关键特点和应用场景：长距离通信：LoRa可以在城市环境中覆盖2-5公里，在郊区或农村地区甚至可以达到15公里以上。
低功耗：LoRa设备通常使用电池供电，能够持续工作数年而不需要频繁更换电池。
抗干扰能力强：LoRa使用扩频技术，能够在噪声环境中保持稳定的通信。
低成本：LoRa设备和网络基础设施相对便宜，适合大规模部署。
本次分享关于LoRa物联网行业解决方案，欢迎大家来讨论
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很不错的资料，可以全面理解LORA的应用场景 呐咯密密 发表于 2024-12-31 11:32
很不错的资料，可以全面理解LORA的应用场景
是吧，我觉得资料还是很有意义的，而且对开发lora和物联网方面很有帮助
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