Getting started with Node-RED

Node-RED is a drag-and-drop visual tool which comes pre-installed on Raspbian. In this

resource we will use Node-RED to control LEDs via the Raspberry Pi's GPIO pins.

The emergency departments in Region Östergötland use pen and paper to a large extent when recording emergency care procedures and measurements. During treatment the patient should be the main focus. Because of this, recording of measurements done could be delayed or in worst case forgotten during stressful situations.

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The proposal of this project is the development of a prototype that tries to make the administrative work a passive procedure rather than an active one. The system developed uses a Raspberry Pi, along with Node-Red, which connects predefined patient data and medical records, with the clinical staff tending the patient. All these connections are initiated by mainly using RFID technology.

The conclusion made with the developed system is that it should unload the staff with the recording of data and that it helps make a data logging a more passive work than today’s used methods. Along with a process that is easier to operate, the time spent on administrative work could be reduced with the proposed system.

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The internet does not have a one-size-fits-all solution

•Every new “thing” has a new API that must be understood

•Solutions often require pulling together several different device API’s and online services in new and interesting ways

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•Time spent pondering how to access a serial port, or complete an OAuth flow to Twitter is not time spent on creating the real time of a solution

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A Node.js based web service on your platform of interest (e.g. the Pi) Presents a website with a graphical user interface to control data flow between modules

Modules are based on Javascript can comprise all I/O and processing steps NodeRED comes with a large library of complementary modules, e.g. for hardware communication (the Pi’s GPIO), interaction with social media and visualisation frame works.

The purpose of this project aims to design and implement a smart home device that can be deployed into residential and office settings to control temperature and humidity to a desired level. At the same time this helps us to make better use of energy and improve the well-being of the residents.

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To achieve the desired results, a Texas Instruments Sensor for real time measurement and Raspberry Pi 3 gate way, along with IMB Watson platform for Internet of Things were ap-plied. The theoretical part will discuss and describe operations of the smart home device elements in details.

This thesis uses open source community resources for its own specific Smart Home Device design and can be used for further developments of similar open source projects. There are unlimited number of applications which can be done using a wireless sensor and Raspberry Pi. A successful and better devices can be achieved using the latest products. This project can be helpful to understand and learn the core of Internet of Things and Smart Home Au-tomation.

Keywords

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IoT developers need to integrate a variety of protocols, backend components and services; they often need to pre and post-process data as well as react to changes in the real world. Data flow

programming tools have been introduced in a number of related domains to provide a flexible, but easy to use visual programming environment for rapid development. The open source Node-RED system provides such a tool for IoT applications, but is limited to executing a single flow file in a single thread. In this paper we describe the design of our system called the Front-End for Node-RED (FRED) that manages multiple instances of Node-RED for logged in users, allowing Node-RED to be used as a cloud-hosted data flow mashup tool for the IoT. We present some examples of how some of our 1800+ users are using FRED for IoT mashups, and some of the challenged we faced in implementing the FRED system.

IBM Brings Bluemix to Developers!

This document has been prepared for the TMForum Hackathon in Nice, France. The first section of this document shares Bluemix related notes, and it is followed by notes appropriate for viewing content from exposed APIs (provided by TMForum and FIware) then you see the node flows that are available for you.

IBM Bluemix Node-RED Watson Starter

Cognitive Solutions Application Development

IBM Global Business Partners

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Duration: 45 minutes

Updated: Nov 15, 2017

Klaus-Peter Schlotter

kps@de.ibm.com

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