IBM Bluemix Nice Meetup #1 - CEEI NCA - 20160630 -

hok@fr.ibm.com
@IBMFranceLab #bluemix
Internet of Things
30 juin 2016
Nice Bluemix Meetup #1 , 30 Juin 2016
Hébergé par CEEI NCA
1
Dominique Hok, Nicolas Comete, Lionel Mommeja ;

Agenda
• Introduction à IBM Bluemix – 18H30
par Nicolas Comète , IBM Bluemix Garage Engineer, Nice, -- IBM France
• les Objets Connectés pour les Bluemixers – IBM Watson IoT – 18h50
par Lionel Mommeja, Global Industry Solution Center Nice, Technical sales
Europe, -- IBM France
• Application «Objets connectés dans un contexte industriel avec
Bluemix» (démo Live ) - 19H05
par Lionel Mommeja
• Application « Smart Garden Sharing,with Bluemix » , lauréate du TMF
Hackathon de Nice (7 mai) - 19h30
par Laureen Ginier, Mathias Cousté, Clément Audry, Rémi Pourtier,
Florian Rouyer -- Polytech Nice-Sophia.
• Q&A - Clôture du meetup – Cocktail- 20H00
2
2

Pour créer un compte Bluemix,
c’est simple et gratuit 30 jours sans CB!
Get started free sur bluemix.net
3

Pour créer un compte Bluemix,
c’est simple et gratuit 30 jours sans CB!
Get started free sur bluemix.net
44

Agenda
• les Objets Connectés pour les Bluemixers – IBM Watson IOT – 18h45
Bluemix » (démo Live ) 19H00
par Lionel Mommeja
• Application « Smart Garden Sharing,with Bluemix » , lauréat du TMF
5
5

Introduction à Bluemix
Nicolas Comète
Nice Bluemix Garage
LEARN
THINK
CODE
RUN
CULTURE
DELIVERMANAGE

La révolution des applications
Web et mobile
Nouvelles interactions
Objets communicants
Big Data
Réseaux Sociaux
Cognitif

IaaS et PaaS Vs. IT Traditionnel
Middleware
OS
Virtualisation
Serveurs
Storage
Réseau
Code
Données
Runtime
Middleware
OS
Virtualisation
Serveurs
Storage
Réseau
IT Traditionnel Iaas
Infrastructure as a Service
PaaS
Platform as a Service
Code
Données
Runtime
Middleware
OS
Virtualisation
Serveurs
Storage
Réseau
Code
Données
Runtime
SoftLayer
Bluemix

Aperçu de la plateforme Bluemix
openwhisk
Event runtimes Instant runtimes Containers Machines virtuelles
Public
Bluemix
Dedicated
Bluemix
Local
Bluemix
Web Database Mobile Cognitive Analytics IoT Securité Les vôtres !
Options de déploiement
Options de déploiementet
d'exécution
+
Catalogue de services
Vos applications
IntégrationetAPIs
DevOpsetoutils

Bluemix DevOps
1. Collaboration
Track & Plan, Agile, Scrum
2. Développement
Web IDE ou autre IDE
3. Gestion du code source
Git, GitHub, SCM
Zéro "downtimes"
Active Deploy
ling & monitoring
Autoscaling, Monitoring &
analytics
8. Feedback
Mobile Quality
4. Intégrationcontinue
Delivery pipeline
5. Securité
AppScan

Combien ça coûte ?
Les services & runtimes sont facturés à l'utilisation
Quelques exemples:
nodeJS
375 GB.h gratuites
puis 0,0526 €/GB.h
MongoDB
1 mois gratuit puis
31$/mois pour 1GB
Watson Alchemy
1000 appels/jour: 0€

Agenda
• les Objets Connectés pour les Bluemixers – IBM Watson IoT – 18h50
• Application «Objets connectés dans un contexte industriel avce
par Lionel Mommeja
1
12

Using Bluemix and Watson IoT
Platform
1 - step by step development example
2 - industrial IoT business use case
Nice Bluemix Meetup #1 , 30 Juin 2016
Lionel Momméja
Executive Architect
mommeja@fr.ibm.com
@LionelMommeja
Global Industry Solutions Center
Nice-Paris

We’re here so that…
14
An architect can demonstrate how an IBM
Internet of Things solution might work for
their client armed only with IBM Bluemix and
their own skills.

Overall flow of the solution you’ll develop

Go to the Catalog, and you’ll see how we can build an application.
16
Remember!
You can’t all have
the sameURL so
pick something
specific.

Connecting your devices to IBM Watson IoT Platform

The process of getting data from sensors into applications is easy
19
Registers with
Consumes data from

Bluemix provides a Service to enable us to connect the sensor to our app
20
2. Pick Internet of
Things Platform
service
1. Click add service
3. Ensure your app is
selected
4. If correctly added it should
appear in your app overview
pane

Bluemix provides a Service to enable us to connect the sensor to our app
21
In your app overview pane,
click on the IoT service and
Launch dashboard

All devices have a unique identifier that we register with the Platform
22
Following the wizard, we simply provide
the Device ID and a simple authentication
token
Make a note of the Authentication Token before leaving
the screen as it isn’t repeated — this is how we
authenticate!
All info will be used to
connect the tag to your
own IoT service

23
In this Use Case, Data is coming from an IoT scenario built
on Texas Instrument SimpleLink™ SensorTag
• The SimpleLink™ SensorTag allows
quick and easy prototyping of IoT
devices.
• SensorTag can easily be connected to
IBM IoT Platform
• It supports the following sensors:
TI SimpleLink™ SensorTag
• Humidity and
Temperature
• Ambient & IR
Temperatures
• Barometric Pressure
• 3 axis Accelerometer
• 3 axis Gyroscope
• 3 axis Magnetometer
• 2 push Buttons
• 1 Luxometer

Prepare your sensor…
24
Search for « sensortag »
in store

ti-sensortag2
mytitag
b84b52
sensortag2
Now we configure the Sensor to send its data to your IoT Platform.
25
Info from previous « Add
device » summary screen
Tips: Be careful not to leave
any default Device ID, type,
organization ,etc
Don’t forget to save!Click here to edit cloud
configuration!

Push to cloud!
Look for the flashing red arrow !
That means data is pushed
successfully
Do not leave this page, don’t go back to the sensor list!
If you do so, data will not be sent anymore to the cloud.

View the data coming off your sensorwithout writing any code…

Double-click the
Event and
Property fields to
see pre-filled
values
Number and Unit are list
values (drill down) but you can
add your own

Cards are populated as long as your are connected to
the page, no history is kept.
You have a timeframe zoom at bottom if needed.

Now register your own phone
You can pick your own device ID but remember, don’t forget to
write down your Authentication Token!
iPhone or Android device types are mandatory
Device Type (case sensitive)
You must create a new device type
iPhone or Android, then a device

Now register your phone…
http://bit.ly/dstcenter
Connect with your intranet
credentials

…and view the data using a new card!

And now you can start building an application!
36
Be sure to access your own application!

…and so we can now use the sensor data in our Node-RED application…
37
The ibmiot node
provides the link with
the Platform.
We just need to
reference the device
by its ID to start
seeing the flow of
data via the platform.
Authentication is set
to Bluemix Service,
then all other options
default apart from
the Device ID and a
name for the node.

…and so we can now use the sensor data in our Node-RED application…
38
Try moving the
sensor around and
watch the data
change.

Store data in dashDB
Add a dashDB service to your Bluemix project (be careful to add to your app)

…and use the console to create a new table with a create statement
Tips
If you have an existing data, table could be created by importing the csv file with the « Load
from Desktop » menu
You can use your own client like DBVisualizer to connect (use bluemix service credentials)
Copy & Paste
CREATE TABLE TI_EVENTS(
ID VARCHAR(20) NOT NULL,
TEMP FLOAT NOT NULL,
LIGHT FLOAT NOT NULL,
ACCELX FLOAT NOT NULL,
UPDATED TIMESTAMP NOT NULL );

Create your flow to store the data
Put dashDB output node from Storage section and see info on how to prepare data
Tip: add some debug nodes!

Here is you Node-RED flow details
Transform data function
dashBD outputnode
Copy & Paste
var data = msg.payload.d;
msg.payload =
{
ID : "finstapp-1",
LIGHT : data.light,
TEMP : data.objectTemp,
ACCELX : data.accelX,
UPDATED : 'TIMESTAMP'
}
return msg;
Tips:
Be careful with copy/paste…
check for syntax!

Deploy your flow and look at the debug console
In dashDB console, go to Tables and Browse data
Look at debug
console and look for
success or errors
If you are lost, you can download this Node-RED flow from here

Integrating Predictive Analytics Service with Node-RED

45
Internet of Things solutions require an agile
collaboration between Data Scientists and Developers
• The internet will connect 50 billions devices over the next five years. The
increase in connectivity and access to real-time information is creating new
opportunities such as improving Return on Asset or enabling new disruptive
business models
• The internet of things is generating a huge amount of data that can be
processed in real-time (or near real-time) for a better reactivity to events
• This create two new challenges: ability to handle new types of data sets
generated by the “things” and ability to process analytics models in near real-
time upon events reception.
• These challenges require an agile cooperation between two categories of
actors in the I/T which are not really used to work together so far: the data
scientists and the developers

46
Introducing IBM Bluemix Predictive Analytics Service
IBM Predictive Analytics is a full-service Bluemix offering that makes it easy for developers
and data scientists to work together to integrate predictive capabilities with their
applications.
Built SPSS analytics platform, Predictive Analytics allows to develop applications that make
smarter decisions, solve tough problems, and improve user outcomes
DeveloperData Scientist CRISP-DM Bluemix Garage Method

47
Data Scenario
• The scenario is built on fictitious alerts created upon the following
combination of conditions:
– object temperature > 25 (Warm tag in your hand)
– x-axis accelerometer > 0.3 (Shake the take)
– light < 5 (Hide the tag in your hands)
• But we are not supposed to know yet those conditions…
• The data scientist will create and train a model that will discover them using
machine learning
Alert

48
Build-time: Simple SPSS Stream aimed at detecting failures
from sensor data based on historical records
Training input data set
based on historical
records and - fictitious -
failure observations
Scoring branch highlighted in blue. Bluemix
Predictive Analytics service will discover this
branch at load time and execute it when invoked
Scoring input is typically
real-time or near real-time
IoT data collected on
Watson IoT Platform.
Filter out unnecessary fields specify input and target fields. Target is the alert
Chosen machine
learning algorithm is a
decision tree using Chi-
squared Automatic
Interaction Detection
(CHAID)
Model created after
execution of the CHAID
algorithm (training branch)
Scoring output stored in a
table after execution of the
scoring branch
Training branch. This branch is executed at
build-time in SPSS to create the model.
MQTT
Watson IoT PlatformTI SimpleLink™ SensorTag
Historical records with failure alerts

49
Build-time: Reviewing the CHAID Decision Tree Model
created after execution of the training branch
• When the training branch is executed, a CHAID
Decision Tree Model is created based on
historical data made of sensor’s data and
observed failures
• The CHAID Decision Tree is a machine learning
algorithm that will attempt to correlate sensor
data and failures
• This decision tree was created with this training
data set
• The machine learning algorithm established that
when acc_x > 0.29 and light <= 2 and
object_temp > 25 then there is a failure for
sure.

50
Build-time: Testing the model in SPSS Modeler
Scoring input Failure predicted
by the model
Confidence
Score
Scoring input Confidence
Score
No failure predicted
by the model
When executing the model,
as expected, when all the
following conditions are
met, the model scores a
failure:
• object temperature > 25
• x-axis accelerometer > 0.3
• light < 5

51
Deploying the model in Bluemix Predictive Analytics
Service
Click here to
open the
dashboard

52
Deploying the model in Bluemix Predictive Analytics
Service
The service will
search for a scoring
branch
Context Id is a label that will be
used to identify your model in the
API

53
Binding the Predictive Analytics Service to a Node-RED
application and retrieving service URL and Access Key
Click here to
open the app
dashboard
Select your predictive
analytics service…
This is my Node-RED application
Access Key
Service instance URL

54
Accessing Predictive Analytics API Documentation
The Predictive Analytics service is a set of REST APIs called from any programming
language. You can access it here: https://console.ng.bluemix.net/docs/ servi ces/Predi ctiveModeli ng/ind ex-
gentopic1.html#genTop ProcId 2
POST http://{service instance}/pm/v1/score/{contextId}?accesskey={access_key for this bound
application}
{ "tablename":“Scoring Input",
"header":["object_temp", "acc_x", "light"],
"data":[[27, 0.33, 1]]}
Body:

55
Run-time: Invoking the Predictive Analytics Service
from Node-RED
Invoking the service is as simple as this:
Function node
http request node

56
Run-time: Invoking the Predictive Analytics Service
from Node-RED
Reviewing service invocation results
{
"topic": "",
"payload": "[{"header":["object_temp","acc_x","light","$R-Failure","$RC-Failure"],"data":[[27,0.33,1,1,0.9846153846153847]]}]",
"_msgid": "840e7dcc.7bf18",
"headers": {
"x-powered-by": "Servlet/3.0",
"content-type": "application/json;charset=UTF-8",
"content-length": "113",
"date": "Thu, 12 May 2016 14:52:16 GMT",
"set-cookie": ["PASESSIONID=ffffffff0602630a45525d5f4f58455e445a4a421548;path=/;domain=palblyp.pmservice.ibmcloud.com;httponly"]
},
"statusCode": 200
}
Score
result
Score input Score
confidence

57
Run-time: Parsing Predictive Analytics Service Results
To make parsing easy, use
JSON Node to convert json
into a javascript object
Accessing score result
is now simple
Score result
{
"topic": "",
"payload": "[{"header":["object_temp","acc_x","light","$R-
Failure","$RC-Failure"],"data":[[27,0.33,1,1,0.9846153846153847]]}]", …

58
With IBM Bluemix Predictive Analytics Service and Node-
RED, Developers and Data Scientists can develop new IoT
Solutions with Agility
Developer Data Scientist

59
Further Readings
• IBM Watson Internet of Things
• IBM Predictive Analytics service on Bluemix
• My article Using bluemix predictive analytics service in Node-RED on
Slideshare
• Engage Machine Learning for detecting anomalous behaviors of things an
IBM developerWorks recipe featuring Bluemix Apache Spark service, a
solution that can help scale-up in term of performance
• IBM SPSS Software
• Le parti pris des choses, a collection of prose poems on things from Francis
Ponge

Agenda
• Application «Objets connectés dans un contexte industrielw avec
par Lionel Mommeja
6
63

Garden Sharing / PolyTech Nice

Garden Sharing, avec Bluemix
Clément AUDRY - Mathias COUSTÉ - Laureen GINIER - Rémi POURTIER - Florian ROUYER
mycampbellrivernow

contexte -> hackathon
Notre présence ici

Description GardenSharing / GardenCaring
Présentation
Garden Sharing &
Garden Caring

Description Garden Sharing
Garden Sharing
● Faire germer des jardins communautaires dans les villes
● Fournirun outilde gestion de ces jardins
● Mettre en contact les propriétaires de terrains et les jardiniers

Garden Caring
a
● Aider les jardiniers en herbe à prendre soin de leur potager
● Notification : arrosage des plantes, moments opportuns pour
planter, taille
● Etat de santé : ensoleillement, humidité, température
● Conseils intelligents : données de capteurs & météo
Description Garden Caring

3Démonstration de Garden Caring
1 L’architecture de Garden Caring
Notre utilisation de Bluemix 2
Feedback sur Bluemix4

L’architecture de Garden
Caring
1

Quelles fonctionnalités pour
l’utilisateur ?
Créer un compte - Se connecter
Déclarer des parcelles de potagers - indiquer la plante/culture
Associer un capteur connecté à une parcelle
Voir température, humidité, luminosité en temps réel
Être conseillé par un système expert
Configurer son niveau de conseil

Notre utilisation de Bluemix
2

Node-RED
La bonne surprise
Prise en main très rapide - ça marche même à 5heures du matin
Beaucoup de fonctionnalités

Cloudant
Accessible depuis Node-RED
Style document (comme mongoDB) - pas de schéma, gain de
temps lors du dev
Connexion depuis du code externe :
- raté lors du Hackathon
- réussi plus tard en trouvant la bonne dépendance Maven

Contexte d'exécution : Tomcat
Un contexte d'exécution
Est prêt en un clic depuis le catalogue
Crée automatiquement un répertoire dans HubJazz avec un
projet par défaut
Possibilité d’ajouter ses propres images

DevOps Services (Hub Jazz)
Déploiement automatique (gain de temps)
Rien à configurer
Interface agréable - super simple à prendre en main

Systèmes experts
Weither insight : météo en temps réel
Watson Visual Recognition : tester l’image lors de son ajout
Papi(s) et mamie(s) : nos meilleurs conseillers
Web sémantique : ontologie de gestion de connaissance

Feedback
Ce qui nous a plu
Facilité de prise en main
Bonne intégration des services entre eux
Travail collaboratif simple grâce aux organisations et à HubJazz.
Difficultés rencontrées
Gestion des tableaux dans NodeRed
MessageHub & MqLight : services plus compliqués à comprendre
au premier coup d’oeil

Agenda
par Lionel Mommeja
8
88

§ Offre “Academic Initiative for Cloud
§ Formez-vous
§ Garage Bluemix à Nice
§ Prochains Meetup
§ Cocktail
8
9
Clôture du meetup

90
IBM Academic Initiative for Cloud
Avoir accès gratuitement à IBMBluemix,
c'est facile !
IBM propose un accès privilégié à Bluemix aux
enseignants et à leurs étudiants :
Pour les enseignants :
• Accès gratuit à Bluemix : 40 services
+ 8 GB de mémoire
• Durée : 12 mois renouvelables
Pour les étudiants :
• Accès gratuit à Bluemix : 10 services
+ 2 GB de mémoire
• Durée : 6 mois renouvelables
Comment demander un code promotionnel ?
Enseignants :
- inscrivez-vous gracieusement au programme IBM
Academic Initiative : ibm.biz/IBMAcademicInitiative
- votre adhésion validée (quelques jours seront
nécessaires), demandez votre code et ceux de vos
étudiants en vous enregistrant ici :
ibm.biz/OffreCloudAcademic
Vous recevrez un mail dans les jours suivants avec
votre code.
Comment utiliser un code promo ?
Il suffit de créer un compte de 30 jours d'essai avec
ce lien : ibm.biz/Francebluemix et copier/coller le
code promo sur le nombre de jours gratuits inscrit
sur votre écran Bluemix
Contact : Cloud_Ecosystem@fr.ibm.com

Pour vous former
Formation en ligne
gratuite
• “Déployez des applications dans le cloud
avec Bluemix”
http://ibm.biz/BluemixMOOC
• “Utilisez des API Rest dans vos projets
WEB”
http://ibm.biz/BluemixMOOC_API_REST
Webinars Bluemix
Suivez un des nombreux webinars
Bluemix (Replays disponibles)
http://ibm.biz/BluemixWebinarsFR
Communauté
Dev Bluemix
Consultez le blog avec toutes les actualités
et posez toutes vos questions sur
Stackoverflow
http://ibm.biz/BluemixDeveloperCommunity
Developpez.com
Suivez la nouvelle Rubrique dédiée à IBM
Bluemix sur Developpez.com avec les
actualités et les publications
https://ibm.biz/bluemix-developpez-com
91

Garage IBM Bluemix
Lancement du 1er Garage
IBM Bluemix en France le 23 mars à
Nice
Programme de développement rapide d'applications
innovantes s'appuyant sur la méthode IBM Design Thinking.
Hébergé ici au CEEI NCA.
92

11 Octobre 2016
CEEI NCA , Journée Innovascience
-Meetup Nice Bluemix #2 – à confirmer, à la
rentrée .
Suivez nous sur
@IBMFranceLab #bluemix
30 juin 2016 93
-Meetup Nice Bluemix #3

IBM Bluemix Nice Meetup #1 - CEEI NCA - 20160630 -

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