KPN FillTag I
First FillTag device for Waste Control application, also known as Streamline Waste device.
Supported network type(s):
KPNLORA
Device Specification ID:
kpn-filltag-i
Device Specification UUID:
5064c9de-36c8-4a69-8edd-636c6df94332
Decoders | decoderSpecificationUUID | Description |
---|---|---|
+ LoRa Geolocation data |
| Add LoRa Geolocation data to messages where location could be calculated. |
› Decoded payload for Waste Control application |
| Decoder for Streamline LoRa message type 0xD282. |
› Decoded payload for Waste Control application (v2) |
| Decodes fields from a Streamline LoRa payload, specifically for waste control application. |
+ LoRa Geolocation data
Add LoRa Geolocation data to messages where location could be calculated.
› Decoded payload for Waste Control application
Decoder for Streamline LoRa message type 0xD282.
Expected SenML records
name | type | unit |
---|---|---|
batteryLevelLow | boolean | / |
batteryLevelLow_beacon | boolean | / |
count_LidOpen | number | |
detectedBeacon | string | |
distance | number | m |
distanceMeasurementIsValid | boolean | / |
lidOpenedSincePreviousTransmission | boolean | / |
temperature | number | Cel |
Decoded payload for Waste Control application
Decodes fields from a Streamline LoRa payload, specifically for waste control application
The following SenML records can be present, amongst others:
name | type | unit | example | description |
---|---|---|---|---|
batteryLevelLow | boolean |
| ||
batteryLevelLow_beacon | boolean |
| the battery level low indication of the detected beacon | |
count_LidOpen | number |
| number of times the bin lid has been opened | |
detectedBeacon | string |
| DevEUI of the last detected beacon | |
distance | number | m |
| distance to the detected object from the fill sensor |
distanceMeasurementIsValid | boolean |
| ||
lidOpenedSincePreviousTransmission | boolean |
| ||
temperature | number | Cel |
| |
timeOrigin | string |
| the source of time information for measurements |
Example SenML
SenML can be structured in different ways, and we do not guarantee the examples below will look the same as what you will receive on your Destination. To make sure you can handle the SenML optimally, take a look at our documentation about Understanding and Interpreting SenML Data.
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