Practice

Implementation for some use-cases of the Data Foundry and some other ways for collecting data with the Data Foundry via the OOCSI service

Raspberry Pi 3b (in Python)

Get humidity and temperature periodically with DHT11 module and receive notifications from the TelegramBot of the Data Foundry

References:

• Code: DHT11 in Pi
• Use-case of the Data Foundry: Use-case: Data-enabled design II (informed step)

ESP32 / ESP8266 / Arduino Nano 33 IoT (board with WiFi)

Get light data for the environment and send to the Data Foundry via OOCSI upload stream with ESP32, ESP8266, or Arduino Nano 33 IoT, and observing the data with received information from download OOCSI stream

References:

• Code: ESP with OOCSI
• Use-case of the Data Foundry: Use-case: Smart Things

ESP32 in MicroPython

Want to communicate with OOCSI and Data Foundry in Python with ESP32?

Reference:

• To flash the MicroPython firmware: Flash an Arduino ESP32 as a pyboard
• Communicate with OOCSI in MicroPython: OOCSI in MicroPython

Arduino boards / Teensy 3.2 (non-WiFi board)

An alternative way to upload data to the Data Foundry via OOCSI with non-WiFi boards. In this case, the Arduino part will send (print) the sensor data to the serial port it's using, and the Processing part will read the data from the serial port with processing.serial library, then the data will be sent to the Data Foundry via OOCSI in Processing.

Reference:

• Code: Teensy 3.2 / Arduino UNO with Processing

Processing

Sample code to demostrate sending / receiving interaction data to / from the Data Foundry by Processing app via OOCSI service

Reference:

• Code: Collect data with Processing via OOCSI service

Web pages hosting

Steps for hosting web pages with a Complete dataset of Data Foundry

Reference:

• Steps: Hosting web pages

Upload Apple Health data to Data Foundry

Steps to configure the Apple Health app to share the data with Google Fit (and other apps)

Reference:

• Steps: Apple Health to Google Fit