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5. AI Weather Station
OpenClaw AI Weather Station Tutorial
Before starting, please complete [01-Peripheral hardware configuration], [02-openclaw API-KEY configuration], [03-openclaw switching model], [04-OpenClaw prompt words], [05-AI voice interaction configuration], [06-Three dialogue scheme configuration tests] in the
Preparation before usedirectory. If you are currently only using TUI/WhatsApp, you can skip05first. This article assumes that the basic environment has been prepared and only the AI weather station project itself will be launched.
1. Tutorial Objectives
This article demonstrates the capabilities of OpenClaw in a desktop weather station scenario through temperature and humidity collection, information display, and AI interpretation. After completing this tutorial, readers will be able to:
- Learn how to combine DHT, OLED and RGB to create a local AI weather station
- Converse with OpenClaw through WhatsApp, TUI, and voice code
- Complete four project scenarios: environment collection, AI broadcast, weather card, status warning
2. Hardware preparation
- OpenClaw main control board
- DHT temperature and humidity sensor
- OLED display
- RGB light strip/RGB lamp bead module
[Optional] AI voice module + speaker- Wiring diagram

3. Software preparation
Code entry that will be used in the tutorial
- Temperature and humidity reading command:
/home/sunrise/hardware_hal_demo/dht - OLED control command:
/home/sunrise/hardware_hal_demo/oled - RGB control command:
/home/sunrise/hardware_hal_demo/rgb - Voice entrance:
/home/sunrise/voice_to_openclaw/src/main.py - Terminal text entry:
/home/sunrise/voice_to_openclaw/src/text_main.py
The current focus of this set of tutorials is on the "local environmental weather station", which is based on DHT's indoor temperature and humidity data for display and explanation;
4. Test the basic capabilities of the project
Before starting the current project, please complete a basic dialogue self-test of openclaw tui; if you have not done so yet, please read [06-Three dialogue scheme configuration tests] first. After passing, enter the AI weather station special test.
It is recommended to enter OpenClaw TUI first:
openclaw tui
Then test the following types of instructions in sequence:
- Read current temperature and humidity
- Display weather cards on OLED
- If the environment is normal, the green light will turn on
- Give me a brief environmental announcement
5. Three options for talking to OpenClaw
| Solution | Suitable scenario | Advantages | Suggested positioning |
|---|---|---|---|
| Remote viewing of the environment, classroom demonstrations | Suitable for remotely asking "How is the current environment?" | Showing the "Remote Weather Station Assistant" | |
| TUI | Local debugging, threshold verification | The easiest way to troubleshoot sensors and display logic | Run through the collection link first |
| Voice code | Voice broadcast, desktop assistant | Closer to daily use experience | As the final demonstration solution |
If the AI voice module + speaker is optional, Feishu dialogue, tui, and WhatsApp dialogue need to broadcast the content of openclaw's reply. You can run the following program on the terminal. The AI voice module dialogue does not need to be run repeatedly
- Modify whether to open broadcast parameters
xxxxxxxxxx/home/sunrise/voice_to_openclaw/.env
xxxxxxxxxxENABLE_TTS=true #This parameter is to control whether to broadcast. After modification, save it and run the following program on the terminal.- Terminal input
xxxxxxxxxxcd ~/voice_to_openclawsource .venv/bin/activatepython -m src.openclaw_session_tts
5.1 WhatsApp solution
For WhatsApp access and robot creation steps, please refer directly to [06-Configuration Test of Three Dialogue Schemes]. After it is created, you can remotely view the environment status on WhatsApp, for example:
- How is the indoor environment now? If it’s too hot, remind me.

5.2 TUI scheme
If you have completed the TUI self-test in Part 0, enter the terminal text dialogue directly:
xxxxxxxxxxopenclaw tuiThen enter project-related instructions, such as:
- Get the current weather in Beijing and display it on OLED

5.3 Voice code scheme
xxxxxxxxxxRequires optional ai voice interaction module + speaker
For voice module installation, environment configuration and basic wake-up process, please refer directly to [05-AI Voice Interaction Configuration]. After waking up, you can directly say the control content, such as:
- ai weather station

6. Project implementation
Note: The following are all dialogue demonstrations in openclaw tui mode. You can also choose WhatsApp or voice mode to complete it.
6.1 Scenario 1: Environment collection
Experimental goals
Read the temperature and humidity of the local environment to complete the most basic data sampling of the weather station.
Effect description
OpenClaw will call DHT to obtain the current environmental data and return the results to the user to form a real-time "weather reading" of the indoor environment.
Example instructions
- Read the current ambient temperature and humidity
- What is the indoor temperature and humidity now?
- Help me check the current weather data
6.2 Scenario 2: AI broadcast
Experimental goals
Let OpenClaw not only report numbers, but also summarize the state of the environment like a weather announcer.
Effect description
OpenClaw can summarize "26 degrees, 57% humidity" into more natural words, such as "the environment is more comfortable", "a bit stuffy", "the air is slightly dry", etc.
Example instructions
- Give me a brief environmental announcement
- Is the environment comfortable now?
- Make a weather summary based on current readings
6.3 Scenario 3: OLED weather card
Experimental goals
Display the local temperature and humidity results as a page more like a "weather card".
Effect description
In addition to text-only results, OLED can also arrange location, status, temperature and humidity into a concise card, making the entire project more like a displayable desktop device.
Example instructions
- Display an indoor weather card on OLED
- Get the current weather in xx place and display it on OLED
6.4 Scenario 4: RGB status warning
Experimental goals
Use RGB colors to quickly express the current environment status.
Effect description
For example, it lights up green when the environment is comfortable, yellow when it is hot, and red when it is abnormal. In this way, even without reading the text, you can quickly know the current state of the environment.
Example instructions
- If the environment is normal, the green light will turn on
- If the temperature is high, the yellow light will turn on
- If there is an abnormality, the red light will flash.