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

[email protected]@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 – 18H30par Nicolas Comète , IBM Bluemix Garage Engineer, Nice, -- IBM France

• les Objets Connectés pour les Bluemixers – IBM Watson IoT – 18h50par 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

22

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 – 18h45par Lionel Mommeja, Global Industry Solution Center Nice, Technical sales


• Application «Objets connectés dans un contexte industriel avec Bluemix » (démo Live ) 19H00

par Lionel Mommeja

• Application « Smart Garden Sharing, with Bluemix » , lauréat du TMF Hackathon de Nice (7 mai) - 19h30



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Introduction à Bluemix

Nicolas Comète

Nice Bluemix GarageLEARN

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 IaasInfrastructure as a Service

PaaSPlatform as a Service

Code

Données

Runtime

Middleware

OS

Virtualisation

Serveurs

Storage

Réseau

Code

Données

Runtime

SoftL

ayer

Blue

mix

Aperçu de la plateforme Bluemix

openwhisk

Event runtimes Instant runtimes Containers Machines virtuelles

PublicBluemix

DedicatedBluemix

LocalBluemix

Web Database Mobile Cognitive Analytics IoT Securité Les vôtres !

Options de déploiement

Options de déploiement et d'exécution

+Catalogue de services

Vos applicationsIntégrationet A

PIsDev

Ops

et o

utils

Bluemix DevOps

1. CollaborationTrack & Plan, Agile, Scrum

2. DéveloppementWeb IDE ou autre IDE

3. Gestion du code sourceGit, GitHub, SCM

Zéro "downtimes"Active Deploy

7. Scaling & monitoringAutoscaling, Monitoring &

analytics

8. FeedbackMobile Quality

4. Intégration continueDelivery pipeline

5. SecuritéAppScan

Combien ça coûte ?

Les services & runtimes sont facturés à l'utilisationQuelques exemples:

nodeJS375 GB.h gratuites

puis 0,0526 €/GB.h

MongoDB1 mois gratuit puis

31$/mois pour 1GB

Watson Alchemy1000 appels/jour: 0€

Agenda


• les Objets Connectés pour les Bluemixers – IBM Watson IoT – 18h50par Lionel Mommeja, Global Industry Solution Center Nice, Technical sales


• Application «Objets connectés dans un contexte industriel avceBluemix » (démo Live ) 19H00

par Lionel Mommeja




112

Using Bluemix and Watson IoTPlatform1 - step by step development example2 - industrial IoT business use case


Lionel MomméjaExecutive [email protected]@LionelMommeja

Global Industry Solutions CenterNice-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 same URL so pick something

specific.

17

Service is up and running

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

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2. Pick Internet of Things Platform

service

1. Click add service

3. Ensure your app isselected

4. If correctly added it shouldappear 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 authenticationtoken

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

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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 IoTdevices.

• 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…

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Search for « sensortag » in store

ti-sensortag2

mytitag

b84b52

sensortag2

Now we configure the Sensor to send its data to your IoT Platform.

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Info from previous « Adddevice » summary screen

Tips: Be careful not to leaveany 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 sensor without writing any code…


Double-click the Event and

Property fields to see pre-filled

values

Number and Unit are listvalues (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!

Making use of sensor data

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

TipsIf you have an existing data, table could be created by importing the csv file with the « Loadfrom Desktop » menuYou can use your own client like DBVisualizer to connect (use bluemix service credentials)

Copy & PasteCREATE 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 dataPut 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 & Pastevar 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

Lookatdebugconsoleandlookforsuccess orerrors

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 ServiceIBM 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.

MQTTWatson 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

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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

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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 applicationAccess KeyService instance URL

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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

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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 jsoninto 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 IoTSolutions 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

Using Bluemix and Watson IoTPlatform1 - step by step development example2 - industrial IoT business use case


Lionel MomméjaExecutive [email protected]@LionelMommeja

Global Industry Solutions CenterNice-Paris

61

62

Agenda




• Application «Objets connectés dans un contexte industrielw avec Bluemix » (démo Live ) 19H00

par Lionel Mommeja




663

Garden Sharing / PolyTech Nice

Garden Sharing, avec BluemixClément AUDRY - Mathias COUSTÉ - Laureen GINIER - Rémi POURTIER - Florian ROUYER

mycampbellrivernow

Présentation de l’équipe

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

● Fournir un outil de gestion de ces jardins● Mettre en contact les propriétaires de terrains et les jardiniers

Garden Caringa

● 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

3 Démonstration 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

L’architecture prévue

L’architecture actuelle

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 devConnexion 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

Démonstration

3

Feedback

4

Feedback

Ce qui nous a pluFacilité de prise en mainBonne intégration des services entre euxTravail collaboratif simple grâce aux organisations et à HubJazz.

Difficultés rencontréesGestion des tableaux dans NodeRedMessageHub & MqLight : services plus compliqués à comprendre

au premier coup d’oeil

Pour conclure

Merci pour votre attention

Agenda




• Application «Objets connectés dans un contexte industriel avec Bluemix » (démo Live ) 19H00

par Lionel Mommeja




888

§ Offre “Academic Initiative for Cloud§ Formez-vous § Garage Bluemix à Nice § Prochains Meetup§ Cocktail

89

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 serontnécessaires), 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 inscritsur votre écran Bluemix

Contact : [email protected]

Pour vous former

Formation en lignegratuite

• “Déployez des applications dans le cloud avec Bluemix”http://ibm.biz/BluemixMOOC• “Utilisez des API Rest dans vos projetsWEB”http://ibm.biz/BluemixMOOC_API_REST

Webinars BluemixSuivez un des nombreux webinars Bluemix (Replays disponibles)

http://ibm.biz/BluemixWebinarsFR

CommunautéDev Bluemix

Consultez le blog avec toutes les actualitéset posez toutes vos questions surStackoverflow

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

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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 2016CEEI 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

Merci !9 mars 2016 94

Technology

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