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 or mos 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 or yarn global add firebase-tools
• firebase init
• firebase functions:config:set bigquery.datasetname="weather_station_iot" bigquery.tablename="raw_data"
• firebase deploy