Skip to main content

Headless Installation on Raspberry Pi for DeepVibe

  1. On a Windows Machine open this link , select Raspberry Pi for windows this will download the file: Imager_1.7.4.exe, Install the raspberry pi imager.

  2. Use a Samsung 32GB EVO SD Card (insert card after step 3.)

  3. once the imager is installed per the image below:
    imager
    Click on Choose OS and Select > Raspberry Pi OS (Other) > Raspberry Pi OS Lite (64 Bit) then Click on > settings gear in the bottom right corner (for image customisation) then do the folowing:

    1. Select: Set Host Name (keep default): raspberrypi.local
    2. Select: Enable SSH -> Select: use password authentication
    3. Select: Set Username & Password
    4. Set: Username: pi – Set: Password: rpi
    5. Select: Configure Wireless LAN4
      1. Set: SSID & Password
      2. Select Country : As per location

  4. Click on > SAVE option and proceed to Click on > Write

  5. Now insert the 32GB SD Card and Select > Write : it will prompt to select the SD Card and will prompt “All data on the SD Card will be erased” select Yes to proceed. The Imager will Write and Verify the copy on the SD Card…
    write

  6. Find the ip address of the raspberry-pi (For more methods see here)

    ping raspberrypi

  7. SSH into the R-Pi using Tera Term and Update+upgrade the OS

    sudo apt update
    sudo apt upgrade

Installing TDEngine​

  1. Do Tera Term to SSH into the Pi first as it saves / authenticates the device (R Pi’s) “Local Key” to the windows machine for the first time – then SSH connection happens thru VS Code

  2. Login to Raspberry Pi thru VS Code then issue the following commands: (Reference)

    mkdir tdengine
    cd tdengine
    wget https://www.tdengine.com/assets-download/3.0/TDengine-server-3.0.3.2-Linux-arm64.tar.gz
    tar -xf TDengine-server-3.0.3.2-Linux-arm64.tar.gz
    cd TDengine-server-3.0.3.2/
    sudo ./install.sh -e no
    sudo systemctl start taosd
    sudo systemctl enable taosadapter
    sudo systemctl start taosadapter

Installaing Grafana​

  1. Follow the instructions here to install Grafana locally.
  2. Login to grafana and install TDEngine plugin.

Optional configurations if required​

  1. If you need to change the NTP server used for time sync, follow the guide here.

Setup the deep_vibe service​

  1. Create the folder structure.

    mkdir ~/git
    mkdir ~/git/gqc
    mkdir ~/git/public

  2. Install git.

    sudo apt install git

  3. Either setup a SSH key from github to the R-Pi and clone linux_socket_app or SFTP the linux_socket_app repo to ~/git/gqc/ dir in the R-Pi.

  4. Plug the root node to R-Pi USB port.

  5. Goto ~/git/gqc/linux_socket_app directory and setup the deep_vibe server as a service.

    cd ~/git/gqc/linux_socket_app
    chmod 777 install_dependencies.sh setup.sh
    sudo ./install_dependencies.sh
    sudo ./setup.sh

    You should see a message like this:
    completion message

  6. Now you should see data in the DBs and Grafana dashboards (depending on what you have enabled from the code)