﻿How to set up a dashboard for an IoT device managed via IBM BlueMix (NodeRED + FreeBoard.IO)

How to set up a dashboard for an IoT device managed via IBM BlueMix (NodeRED + FreeBoard.IO)

5/8/2016

I just posted a little YouTube video on how to set up a simple dashboard for an internet of things (IoT) device managed via IBM BlueMix, using a cloud-deployed NodeRED application, coupled with FreeBoard.IO's open-source tools for Dashboarding the streamed JSON data from the IoT device. The intent of this video is to empower IoT enthusiasts with some basic steps on how to quickly set up a meaningful IoT device using the IBM BlueMix cloud.

In this brief tutorial, I first illustrate the functionality of a simple dashboard to visualize live temperature data as well as threshold-based alerts from an IoT enabled sensor. After the brief demo, I attempt to cover how one might go about setting up a similar basic dashboard on freeboard.io as well as an HTTP REST API, put together on NodeRED via the IBM BlueMix cloud.

A simulated temperature sensor is used in this tutorial but the workflow remains the same (including the concept of the Device ID, illustrated in this video for the simulated device) if one chooses to use Texas Instruments' SensorTag device for an initial road-test of the BlueMix cloud using a real device!

Want to do even more with your dashboard..? How about some machine learning! The sequel to the above video which illustrates how R based machine learning results are integrated with a Freeboard.IO dashboard, is available at : https://www.youtube.com/watch?v=5lMiESufhwI

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10/8/2016 12:11:51 am

This is very informative, I may now set up my dashboard and this procedures are very clear and easy to follow. I will share this to my friends and I know that they will find this very helpful. The dashboard looks complicated at first but as i read the steps I now find it simple.

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Prof. Prahlad G Menon, PhD

Dr. Menon is an Associate Professor of Mathematics with appointments in Bioengineering at University of Pittsburgh and Biomedical Engineering at University of Texas at San Antonio. He was previously a tenure-track, early-career assistant professor with the department of biomedical engineering at Duquesne University (Pittsburgh, PA) and until May 2015 on the faculty of the electrical and computer engineering (ECE) department in Carnegie Mellon University joint institute of engineering with Sun Yat-sen University (Pittsburgh, PA, USA and Guangzhou, China), where he currently maintains an adjunct professor appointment. He has served as adjunct faculty with the Dept of Biomedical Engineering at Carnegie Mellon University as well as the Heinz College of Information Science at Carnegie Mellon University. Dr. Menon's research group, The MeDCaVE, has its interests in the broad area of AI / data science applied to medical imaging analysis for biomarker discovery and more specifically in computational simulation of vascular flows and cardiovascular biomechanics, with application to diagnostics, surgical planning and interventional guidance.

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