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Скачать или смотреть How to Decode Lora Packet Data: Troubleshooting Hex String to ASCII Conversion Issues

  • vlogize
  • 2025-04-09
  • 9
How to Decode Lora Packet Data: Troubleshooting Hex String to ASCII Conversion Issues
Lora packet data is encoded as hex string but decoding to ASCII is showing nonsensemqttloralorawanmqtt.js
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Описание к видео How to Decode Lora Packet Data: Troubleshooting Hex String to ASCII Conversion Issues

Discover effective strategies to decode Lora packet data from hex string to meaningful ASCII outputs. Understand common pitfalls and solutions for successful data interpretation.
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This video is based on the question https://stackoverflow.com/q/75158612/ asked by the user 'ptxd' ( https://stackoverflow.com/u/21035043/ ) and on the answer https://stackoverflow.com/a/75171335/ provided by the user 'dda' ( https://stackoverflow.com/u/1136195/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: Lora packet data is encoded as hex string but decoding to ASCII is showing nonsense

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The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license.

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Decoding Lora Packet Data: Troubleshooting Hex String to ASCII Conversion Issues

If you are working with LoraWAN devices, you may encounter instances where the data payloads you receive from sensors are encoded as hex strings, and decoding them results in seemingly nonsensical readings. This issue can be particularly frustrating when you're using multiple components together, such as sensors, gateways, and brokers like Mosquitto. In this post, we'll dive into the nature of this problem, and how you can effectively decode Lora packet data to retrieve meaningful information.

The Problem: Nonsensical Outputs from Hex String Data

Imagine you’re using two LHT65N sensors with a Wisgate Edge Lite 2 Gateway, which forwards the payload to an MQTT broker. You receive packets like this:

[[See Video to Reveal this Text or Code Snippet]]

You'll notice that the payload data is a hex string (e.g., "CBCF09200203017FFF7FFF"). When you attempt to decode it into ASCII format, however, you end up with results like this:

[[See Video to Reveal this Text or Code Snippet]]

Clearly, this output is not useful, indicating that something is going wrong in the decoding process.

Analyzing the Decoder Method

Let's take a closer look at the method you are currently using to decode the hex string:

[[See Video to Reveal this Text or Code Snippet]]

This code appears to be structured with good intentions — it attempts to parse different components of the data. However, the problem arises from how you are initially parsing the data field in your incoming message.

The Solution: Correctly Decoding the Hex String

The solution to your problem lies in properly converting the hex string to a typed array format that the decoder can correctly interpret. Here are the steps to resolve the issue:

Convert Hex String to Binary/Byte Array:
Make sure to convert the hex string (payload.data) to a UInt8Array. The updated code segment might look like this:

[[See Video to Reveal this Text or Code Snippet]]

Check the Results:
After implementing the changes, ensure to log the results of the decoding process. If executed correctly, you should now retrieve meaningful readings like so:

[[See Video to Reveal this Text or Code Snippet]]

Conclusion

By following these steps, you should be able to decode Lora packet data successfully from hex string format into usable values. Remember, the key takeaway is ensuring the data is converted properly before decoding, as this can ultimately dictate the success of your integration. Don’t hesitate to explore and debug systematically to find where data may be mismanaged in the process.

With the right approach, you can turn what initially appears to be nonsense into valuable data insights!

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