LoRa practical training experiment box

An experimental box and ARM processor technology, applied in the field of Internet of Things training, can solve the problems of limited long-distance communication range, the inability of ZigBee protocol to meet compatibility problems, etc., to achieve the effect of being portable and easy to promote and use

Pending Publication Date: 2019-08-16
江苏艾什顿科技有限公司
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Problems solved by technology

For 2G/GPRS/3G/4G networks, there are problems of cost and power consumption. For the Bluetooth protocol, it is limited by the

Method used

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Examples

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[0026] The disclosure will be further described below in conjunction with the drawings and embodiments.

[0027] It should be noted that the following detailed descriptions are all exemplary and are intended to provide further descriptions of the present disclosure. Unless otherwise indicated, all technical and scientific terms used herein have the same meaning as commonly understood by those of ordinary skill in the technical field to which the present disclosure belongs.

[0028] It should be noted that the terms used here are only for describing specific embodiments, and are not intended to limit the exemplary embodiments according to the present disclosure. As used herein, unless the context clearly indicates otherwise, the singular form is also intended to include the plural form. In addition, it should also be understood that when the terms "comprising" and / or "including" are used in this specification, they indicate There are features, steps, operations, devices, components...

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Abstract

The present disclosure proposes an LoRa practical training experiment box. The LoRa practical training experiment box comprises an experiment box body in which a LoRa gateway, a LoRa terminal node anda sensor development kit are disposed. The sensor development kit is used for connecting with the LoRa terminal node and collecting sensing data. LoRa wireless modules are respectively arranged in the LoRa terminal node and the LoRa gateway. The LoRa terminal node is used for wirelessly connecting with the LoRa gateway to form an ad hoc network to transmit data collected by the sensor developmentkit to a monitoring terminal or a cloud platform. Built-in cavities adapted to the outline structures of the sensor development kit, the LoRa terminal node and the LoRa gateway are respectively formed in the experiment box body. The LoRa practical training experiment box integrates the LoRa gateway, the LoRa terminal node and the sensor development kit. By connecting the above practical trainingcomponents and loading corresponding configuration files, an LoRa ad hoc network can be established to collect and transmit data, thereby realizing the practical training of the Internet of Things LoRa networking. Besides, the practical training components of the LoRa practical training experiment box are placed in the practical training box, and thus the entire practical training device is convenient to carry, use and popularize.

Description

technical field [0001] The present disclosure relates to the technical field related to the training of the Internet of Things, and specifically relates to a LoRa training experiment box. Background technique [0002] The statements in this section merely provide background information related to the present disclosure and do not necessarily constitute prior art. [0003] Low power consumption wide area network technology is currently an important part of the application of the Internet of Things, focusing on solving the problems of large capacity, long distance, low power consumption and low cost of the system. There are several protocol solutions used in today's IoT devices, but none of them are ideal. For example, the Wi-Fi protocol has the advantages of high penetration rate and good stability, but it cannot meet the demand for efficient use of energy. The Wi-Fi protocol does not have a good solution to the problem of accessing a large number of devices. For 2G / GPRS / 3...

Claims

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Application Information

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IPC IPC(8): G09B9/00
CPCG09B9/00
Inventor 姜耀华王帅洪明睿刘子铭李鹏
Owner 江苏艾什顿科技有限公司
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