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A practical build uses the DFRobot Lark Weather Station Sensor (EDU0157-EN) for measurement, UNIHIKER for acquisition, and Node-RED for processing and display. DFRobot documents the Lark-to-UNIHIKER Python connection and separately documents Node-RED on UNIHIKER, but it does not publish a verified, weather-specific Node-RED flow that joins those pieces end to end. Treat the Node-RED portion below as an integration design to validate on your exact board and software versions, not as a manufacturer-tested recipe.
First, identify which “Lark” you have
This article assumes “Lark” means DFRobot’s Lark Weather Station Sensor, SKU EDU0157-EN. It is not a Lark messaging-service integration. DFRobot also sells a different Lark Weather Station Pro, SKU EDU0173, with Wi-Fi and MQTT features. Pro documentation must not be applied to the standard EDU0157-EN sensor.
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What the standard Lark station measures
The EDU0157-EN provides real-time readings for:
- Wind speed: 0.5–12 m/s
- Wind direction: eight directions
- Temperature: −20 to 60 °C, stated accuracy ±0.2 °C
- Relative humidity: 0–99% RH, stated accuracy ±2% RH
- Barometric pressure: 300–1100 hPa; DFRobot states ±1 Pa relative accuracy under 25 °C, 950–1050 hPa and ΔP ≤1 kPa conditions
The station has 16 MB of built-in storage. DFRobot says that storage can hold 160 days of data when recording once per minute. These are manufacturer specifications, not independent test measurements.
Hardware and communication choices
| Item | EDU0157-EN detail | Build implication |
|---|---|---|
| Power | 3.3–5.5 V DC; 40 mA working current; 2 mA sleep current | Use a suitable regulated supply and the supplied sensor cable. |
| Default bus | I2C, address 0x42 | Use this for the documented UNIHIKER Python example. |
| Alternative bus | UART at 115200 baud | Choose UART only when your wiring and software stack are configured for it. |
| Package | Main station, Type-C data cable, Gravity-4P I2C/UART cable, adjustable desktop tripod and manual | Do not assume a random Type-C or 4-pin cable has the correct pinout. |
Prepare and orient the station
- Mount the station so the Type-C port points south, as specified in DFRobot’s setup guide.
- Connect the station to UNIHIKER with the supplied or correctly pinned Gravity-4P cable. Select I2C unless you have a reason to use UART.
- After startup, rotate the wind vane to complete direction calibration, then wait about 10 seconds.
- For standalone recording, let the station operate from its normal power source. DFRobot describes automatic recording at 30-second intervals and warns that connecting it to a computer is an export mode rather than the powered standalone recording mode.
Read the sensor on UNIHIKER
DFRobot’s documented pairing uses Python 3.x, Pinpong 0.4.9 or later, and the Lark weather-station library. The example imports DFRobot_Atmospherlum and Pinpong, starts the board, creates an I2C instance at address 0x42, initializes the sensor, synchronizes local time and reads timestamp, wind speed, wind direction, temperature, humidity and pressure.
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Package names and initialization details can change, so check the current library instructions and confirm the exact UNIHIKER model before copying code. A useful acquisition program should emit one structured record per reading, for example:
{"timestamp":"2026-10-02T12:00:00Z","wind_speed_m_s":2.4,"wind_direction":"NW","temperature_c":21.8,"humidity_rh":54.2,"pressure_hpa":1008.6}Keep units in the field names. That prevents Node-RED dashboards from confusing metres per second with kilometres per hour or pascals with hectopascals.
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Where Node-RED fits
The defensible architecture is:
- Lark sensor measures weather data.
- UNIHIKER Python code reads the I2C or UART values.
- The acquisition program publishes each record through a transport that Node-RED can consume, commonly MQTT or HTTP.
- Node-RED validates, stores, transforms and displays the data, and optionally sends alerts.
DFRobot community material shows Lark data moving from UNIHIKER to SIoT over MQTT, while a separate tutorial shows Node-RED installed on UNIHIKER for another monitoring project. Those references establish adjacent building blocks, not a complete, tested weather-station flow. You must verify the broker address, topic names, credentials and payload format in your own setup.
A safe Node-RED flow design
Input and validation
Use an MQTT-in node subscribed to the topic used by your acquisition bridge, then a JSON node if the broker payload arrives as text. Add a function or switch node that rejects messages missing timestamp, temperature, humidity, pressure or wind fields. Convert numeric strings to numbers before graphing.
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Dashboard outputs
Connect validated values to separate gauges or charts for temperature, humidity, pressure and wind speed. Use a text or chart widget for the eight-direction wind value. Preserve the original timestamp instead of using the Node-RED host clock when plotting historical records.
Alerts
Branch from the validated message with thresholds appropriate to your location. For example, compare wind speed against a limit and route only state changes to a notification node; otherwise a reading every 30 seconds can generate repeated alerts. Choose the notification service separately—no Lark messaging webhook is documented for this sensor integration.
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Persistence
For history, write the normalized record to a database or file after validation. The station’s internal storage is not a substitute for a Node-RED data store: its documented standalone logging interval and computer-export behavior are different from live dashboard ingestion.
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EDU0157-EN versus Lark Weather Station Pro
| Capability | EDU0157-EN standard sensor | EDU0173 Pro |
|---|---|---|
| Documented connection in this build | UNIHIKER Python over I2C at 0x42, or UART at 115200 baud | Separate DFRobot documentation covers Wi-Fi/MQTT transmission |
| Built-in network publishing | Not established in the cited product material | Documented by DFRobot for the Pro workflow |
| Use with Node-RED | Requires an acquisition bridge and a transport such as MQTT or HTTP | Still requires topic, network and Node-RED configuration; do not reuse standard-sensor assumptions |
DFRobot’s Pro guide dated 2026-01-12 describes the Pro and UNIHIKER M10 sharing a network or using the M10 hotspot. That setup belongs to EDU0173 and should not be presented as the EDU0157-EN procedure.
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Troubleshooting checklist
- No readings: verify power, the Gravity-4P pinout, I2C address
0x42and that the selected UNIHIKER interface matches the code. - Wrong wind direction: repeat the south-facing orientation and vane-rotation calibration sequence.
- Node-RED receives nothing: inspect the acquisition program’s broker or HTTP destination, topic spelling, authentication and network reachability before changing dashboard nodes.
- Charts show text or invalid values: parse JSON and cast numeric fields before passing messages to dashboard widgets.
- Unexpected gaps: distinguish the station’s 30-second recording behavior from the live publishing interval configured in your bridge.
- Pro instructions do not work: confirm that your hardware is EDU0157-EN rather than EDU0173; their transport capabilities differ.
What is documented—and what still needs verification
You can rely on the EDU0157-EN specifications, its I2C/UART interfaces, the documented UNIHIKER Python example requirements, orientation guidance and the separate demonstrations of MQTT/SIoT and Node-RED on UNIHIKER. You cannot yet claim that DFRobot provides a single weather-specific Node-RED flow, that the complete sensor-to-dashboard path has been tested as one recipe, or that “Lark” refers to a messaging destination. Validate those integration details on the exact hardware, Node-RED version and transport you intend to deploy.
Quick Recap
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