eChook GPT Documentation
  • Welcome to the eChook nano documentation
  • System Overview
  • The eChook Nano Kit
    • Versions
  • Build Instructions (Kit V1.x)
    • Build Steps Photos
    • First Power On
  • Build Instructions (Kit V2+)
  • Programming the Arduino
    • Install Arduino IDE
    • Arduino Drivers
    • Download the eChook Arduino Code
    • Programming the Arduino
  • Setting up the Bluetooth
    • Pairing with a phone
  • Connecting the eChook to the Car
    • Power and Voltage
    • Current Sensor
    • Throttle Input
    • External Buttons and Brake
    • Temperature Sensors
    • Wheel and Motor RPM
    • PWM Output
  • Calibrating the eChook
    • Wheel Speed and Motor RPM
    • Temperature
    • Voltage
    • Current
  • Using the App
    • Pair eChook to Phone
    • Setting up the App
    • Logging Data
    • Lap Counting
  • Telemetry (Live Data)
    • eChook Live Data
    • Dweet.io Temeletry
    • Node-Red Integration
    • DIY Web Dashboard
  • Using the Data
  • Circuit Schematics
    • 12 and 24v Inputs
    • Temperature Inputs
    • Bluetooth Module
    • Throttle Input
    • Current Input
    • Button Inputs
    • RPM Inputs
    • PWM Output
    • Power Regulator
    • Expansion Port
  • All about the Arduino nano
    • The eChook nano Code
  • Bluetooth Communication
    • Bluetooth Packet Encoding
    • Bluetooth Packet Decoding
  • Experimental Section
    • GUI Calibration
  • eChook Accessories
  • DIY eChook
  • Spare Parts
  • Troubleshooting
  • Contributing
Powered by GitBook
On this page

Was this helpful?

  1. Telemetry (Live Data)

Node-Red Integration

PreviousDweet.io TemeletryNextDIY Web Dashboard

Last updated 5 years ago

Was this helpful?

This page assumes a knowledge of Node-Red and Javascript. If you are familiar with Node-Red then the eChook is simple to integrate. If you've not used it before, best path would be to go to nodered.org or google to get started and return to this once you're up and running.

The data send to dweet.io can be accessed from lots of other systems. One that might be of particular interest to Greenpower teams is Node-Red. This is a scratch style, drag and drop programming tool that comes pre-installed on Raspberry Pi's but can be installed (with varying difficulty) on all popular operating systems.

Node Red can be used to capture the dweet.io data, perform any calculations on it, and even create your own dashboard to present the data as you want. You will need to add a dweet.io plugin to the palette. This provides you with a dweet.io input node. Configure this with your 'thing name' and it will output all the data being sent from your phone.

Check out the node-red getting started guide here: https://nodered.org/docs/getting-started/

The image below shows how simple it is to get the uploaded dweet data with just two nodes - dweet node to read it in, and in this case a debug node to print it out to the screen: