Challenge
Last updated
Last updated
With this step by step challenge you will have a parallel learning experience of Internet of Things and continue with the implementation of functionality on top of the project you have built during the workshop.
Data Reporting, System Data, Device ID
Data Reporting, System Communications Protocols, Device ID
Data Reporting, System Communications Protocols, RESTFul API
Data Reporting, Cloud Computing Services, freeboard.io & dweet.io
Data Reporting, Cloud Computing Services, adafruit.io
Data Reporting, Cloud Computing Platforms, IBM Watson IoT Platform
Physical Sensors (Seeed Studio Grove Kit)
Software Version Control System Pushing Code
Section
Instruction
Define a global variable "DeviceID" to serve as a Unique Device Identification to your Internet of Things Device
Instruction
Include your "DeviceID" global variable under your MQTT Publish and Subscribe Topics IoT101/DeviceID/#
Code in 2 functions needs to change:
functionDataSensorMqttPublish
functionDataActuatorMqttSubscribe
Here it is how new code might look like:
Instruction
Incorporate a RESTFul API named "sensor" using Flask-RestFul to send data taken from the Simulated Sensor under functionDataSensor Python function.
Once implemented, run your main.py program and access the network resource using a web browser, you should get the data taken from the the Simulated Sensor:
Connect to your boardipaddress:5000/sensor in a web browser, data shall be displayed
Instruction
Instruction
Instruction
Implement code to publish the data taken from the Simulated Sensor to the IBM Watson IoT Platform
Instruction
Implement code to replace existing functionality/logic under functionDataActuator and functionDataSensor by using a physical actuator and sensor from the Seeed Studio Grove Kit
Code in 2 functions needs to change:
functionDataActuator
functionDataSensor
Remember UPM library give you Python bindings to easy use of your Grove Sensors
Here it is how new code might look like:
Instruction
Confirm every code under your local "TheIoTLearningInitiative" git repository, "InternetOfThings101" directory is uploaded to your remote "TheIoTLearningInitiative" github repository
ToDo Diretory Structure
Section
Section Flask-RESTful Lab
Section
Create a dashboard and send the data taken from the Simulated Sensor using Python library
Do not hesitate to google and see this link
Section
Create an dashboard and send the data taken from the Simulated Sensor using Adafruit MQTT Python Library
Do not hesitate to google and see this link
Section
Remember to reuse the code seen under "System Cloud Platforms IBM Watson IoT Platform Quickstart Physical Device", file
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