WebApp: https://weather-station-iot-170004.firebaseapp.com
- Install beta components:
gcloud components install beta
- Authenticate with Google Cloud:
gcloud auth login
- Create cloud project — choose your unique project name:
gcloud projects create YOUR_PROJECT_NAME
- Set current project
gcloud config set project YOUR_PROJECT_NAME
- Add permissions for IoT Core
gcloud projects add-iam-policy-binding YOUR_PROJECT_NAME --member=serviceAccount:[email protected] --role=roles/pubsub.publisher
- Create PubSub topic for device data:
gcloud beta pubsub topics create telemetry-topic
- Create PubSub subscription for device data:
gcloud beta pubsub subscriptions create --topic telemetry-topic telemetry-subscription
- Create device registry:
gcloud beta iot registries create weather-station-registry --region us-central1 -event-notification-config=topic=projects/YOUR_PROJECT_NAME/topics/telemetry-topic
To use it we need to download and install it from the official website. Follow the installation instructions on https://mongoose-os.com/docs/quickstart/setup.html.
mos build --arch esp32
ormos build --arch esp8266
mos flash
mos wifi your_ssid your_pass
mos gcp-iot-setup --gcp-project your_project --gcp-region us-central1 --gcp-registry your_registry
Here we will use it to store all of ours collected sensor data to run some queries and to build reports later using Data Studio. To start let’s create a Dataset and a Table store our data. To do this, open the BigQuery Web UI, and follow the instructions:
- Access bigquery.cloud.google.com
- Click the down arrow icon and click on “Create new dataset”.
- Name you Dataset “weather_station_iot”.
- Create a Table “raw_data” with the following fields and types: --- PUT IMAGE HERE ---
npm install -g firebase-tools
oryarn global add firebase-tools
firebase init
firebase functions:config:set bigquery.datasetname="weather_station_iot" bigquery.tablename="raw_data"
firebase deploy