INDUSTRIE DU FUTUR ET TRANSITION ENERGETIQUE

INDUSTRIE DU FUTUR ET TRANSITION ENERGETIQUE

 FactoVia participe à deux tables rondes, transmis en "Live" face à 500 industriels.  

- Une pour vulgariser les principes et ouvrir la journée en présence du CETIM

- et une niveau expert avec des industriels, tels que Renault-Nissan-Mitsubishi.

** TABLE RONDE N°1 : Le cloud pour l’industrie : de quoi parle-t-on ?  

https://www.linkedin.com/posts/jautomatise_inscription-manufacturing-digital-innovation-activity-6927648400045694976-toeo

** TABLE RONDE N°3 : LE CLOUD COMPUTING AU SERVICE DE LA PRODUCTION INDUSTRIELLE

 https://www.linkedin.com/posts/manufacturingfr_industriedufutur-aezvaeznement-cloud-activity-6928315153956401152-HSy9

Les intervenants : 

Honoré d'être convié par le CETIM à être speaker lors d'un événement Tech Day organisé par l'association SPACE aero (Airbus, Safran Group, Airbus Défense & Space, Thales), le GIFAS (Groupement des Industries Françaises Aéronautiques et Spatiales), l'UIMM et le CETIM.

Avec le matériel "FactoVia One" (usine miniaturisée) et des lunettes de réalité augmenté, je présenterai de façon tangible des Etudes de Cas pour de la maintenance industrielle "4.0" : 

• Expert à distance (Remote Assist), 
• Internet des objets connectés : IoT industriel avec le standard OPC UA,
• Calculs en temps réel d' eqCO2 pour agir en temps réel et limiter son impact environnemental,
• Qualification avancée des arrêts machines...

  

Références

https://www.factovia.fr/ 

https://www.gifas.fr/ 

https://www.space-aero.org/

https://uimm.lafabriquedelavenir.fr/industrie/

https://www.cetim.fr/

synergize-2022-virtual-conference-for-automation-digital-transformation

 On March 16th 2022 : Glad to be a speaker & expert in Industry 4.0 at : 

SYNERGIZE 2022 For Digital Transformation will be streaming LIVE from "Tech Works Consulting" from New York 

How to bring AI, IoT & Business Process Automation in this Digital Age to Have the Competitive Edge in Manufacturing

Speakers: Jabril Bensedrine (Managing Director & CEO at Triana Group Inc.) and Vincent Thavonekham (CEO & Founder of FactoVia)

Register here : https://www.eventbrite.com/e/synergize-2022-virtual-conference-for-automation-digital-transformation-tickets-135898342601

Digital Twins ou les Jumeaux numériques

Référencement d'un article publié en 2021 (p. 34-39) 
Programmez !, 248 (09/10/2021)

Auteurs : Vincent Thavonekham ; Maxime Billemaz

Résumé : Dans un monde où le nombre d’objets connectés est en croissance constante et où les entreprises peuvent en utiliser plusieurs milliers, il devient impératif de pouvoir modéliser, monitorer et interagir avec toutes ces entités. Le concept de « Digital Twin » est devenu notre quotidien. Nous allons explorer une solution mise à disposition par Microsoft qui permet de gérer ces interactions. Pour illustrer cela de façon concrète, nous allons considérer le Centre Georges Pompidou. 

Référencé en CDI :
https://cdocs.helha.be/pmbmontignies/opac_css/index.php?lvl=author_see&id=68081 

Digital Skills Week 2021 - Découvrez 3 métiers numériques porteurs

Le numérique créateur d’emplois pour favoriser la relance économique française

Découvrez 3 métiers numériques porteurs

Le meilleur moyen de comprendre un métier c’est d’en discuter avec quelqu’un qui l’exerce. Data scientist, développeur, data engineer, advisor, startuper ou même étudiant du numérique, profitez d’une table ronde réunissant des professionnels aux expertises innovantes qui vous diront tout de leurs métiers et évoqueront les opportunités dont ils sont vecteurs pour l’emploi en France.

Durant la Digital Skills Week, Microsoft a ainsi proposé 20 formations techniques différentes, toutes gratuites et à distance. En tout, ce sont ainsi 1 500 participants développeurs et professionnels de l’IT qui ont pu découvrir les fondamentaux de l’Intelligence Artificielle et de la data dans le cloud, appris à implémenter des infrastructures cloud hybrides ou encore à planifier une migration vers le cloud pour ses charges de travail, applications et données sur site.

https://news.microsoft.com/fr-fr/features/digital-skills-week-une-semaine-pour-relever-le-defi-du-developpement-des-competences-numeriques-aux-cotes-de-notre-ecosysteme/ 

 

IoT & Intelligent Edge on drone : Under the hood & Bill of Material

DISCLAIMER : No NDA algorithms of AI will be found here. It is up to everyone to create its own ones. Appart from that, you will find the  ingredients needed to have an industrial AI running on the Edge ! After a period of R&D starting in 2016, this project was OpenSourced in Jan 2018 when Scott Guthrie arrived in Paris for a Redshirt Tour 18 (can be found here, even if our doc is partially obsolete due to technology evolution : https://github.com/azugfr/RedShirtTour-IoT-Edge-AI-Lab)
NEXT : I will carry on adding more info progressively in this article.
NEXT : I will explain how to get an effective Keynote that involves Julia White – Vice President Corporate Microsoft Azure worldwide.
NEXT : Our VISEO team will share as Open Source on GITHUB the code that is NOT under NDA.

INTRODUCTION

Context : During the Keynote of Julia White at Microsoft Experiences 2018(*), with Guilhem Villemin, I had the opportunity to illustrate Julia’s point regarding IoT, IoT Edge and AI = Intelligent Edge : https://www.viseo.com/fr/emea/actualites/viseo-au-microsoft-experiences-2018-compte-rendu
(*) Largest European Microsoft event with 20000 people registered, over 150000 connected on live TV, plus many thousands on replay
  
I was acting as a Microsoft Regional Director (“RD program” known worldwide by Microsoft), and an Azure MVP, working as a FTE for VISEO.
 

Architectural overview

Designed in 2017 and OpenSourced in Jan 2018 – for Scott Guthrie – RedShirt Tour Labs

 
OpenSourced Labs: https://github.com/azugfr/RedShirtTour-IoT-Edge-AI-Lab

To go deeper into the topic:

BOM – Bill of Material

• Team : You need a solid Rambo Team, that will succeed in due time no matter how hard the work is, and a great customer ALTAMETRIS (100% spin-of the SNCF railway), and Craftsman (well, here Craftswoman – Sacha Lhopital that code in a CleanCode manner and with AI expertise), and Artem Sheiko – who I am referring to during the Keynote, our Data Scientist.
• 
•  
• 
• Probably about 20 people contributed to the entire project (started with IoT Edge in 2016)
• Vincent Thavonekham : Project Director & Speaker of the Keynote
• Vincent is awarded : Azure MVP
• Vincent is part of the Leader Visionary program - Microsoft RD (Regional Director) : https://rd.microsoft.com/en-us/about/
• Igor Leontiev : CSA Lead – Cloud Solution Architect | MVP Azure
• Artem Sheiko : DataScientist specialized on Azure BigData
• Sacha Lhopital : AI Dev & Azure IoT Dev ; https://www.meetup.com/fr-FR/MUGLyon/events/250854003/
• Christophe Creuseveau : Director IoT Dev Team – Grenoble and about 10 people in his team (months on Azure IoT Edge + weeks on Azure Cognitive Services) ==> MANY Thanks
• Industrial customer :
• Guilhem Villemin, CTO Altametris / #SCNF ; https://g-dev.fr/?page_id=10 
• Alain Morice #SNCF : Senior Business Analyst and Project Leader and Novel ideas …
• and many other people who helped us, particularly my colleagues in Grenoble

• Massive amount of data
• Many thousands of images and video as a DataSet per AI to be created
  
• Many real devices on the top of photo & video

• Azure Subscription
• To orchestrate DevOps deployment of the various Docker containers : modules Azure IoT Hub > IoT Edge
• To centralize the source code : Azure DevOps CI/CD + GIT
• To run Azure Custom Vision : https://www.customvision.ai (free trial)

• DRONE : a real industrial drone running on Linux
• Either this one (worth > 1/2 million $) ; if you are one of the 10 people in the world who owns that monster. Or the one guy in France : Nicolas Pollet the CEO of ALTAMETRIS below.
  
• Or, the one on stage (worth > 20 000$ to 40 000$)
  
• Alternatively, use another drone without Linux, but add an external “box” running Linux in parallel (could a Raspberry PI, but your AI has to be very low CPU demanding), but you will not have the ability to get the Drone’s telemetry (coordinate, orientation, battery level, …)

• DevOps: for the DevOps aspect and continuous integration : The Gateway ADVANTECH IoT Box ARK-1124U that runs the same OS as the Drone
• ARK-1124U : http://www.advantech.com/products/1-2jkbyz/ark-1124u/mod_e4faa6eb-0cd1-4c55-b2d9-0dea6c8cbdf 
• with Celeron dual Core (performance similar to ATOM Baytrail E3840 https://www.cpubenchmark.net/compare/Intel-Celeron-N3350-vs-Intel-Atom-E3840/2895vs2124)
• 4GB  Ram
• SSD of 64Gb
• Module Wifi
• Details of the ADVANTECH gateway:
• Intel Celeron N3350 Dual Core SoC
• VGA Display/2x RS-232/422/485/4x USB 3.0
• 1 x Full-size mini PCIe with SIM holder for communication module
• 1x M.2 E-key for WIFI module
• -20 ~ 60 °C extended operating temperature
• TPM 2.0 default built-in
• 12V lockable DC jack power input
• Optional 12~24V power module (Dual Layer)
• Advantech iDoor module compatible (Dual Layer)
• Advantech WISE-PaaS/RMM support

ON THE EDGE SIDE : Microsoft IoT Edge

• Igor Leontiev created 3 ADVANTECH IoT Boxes :

1. One for CI/CD DevOps, and advanced debugging tools and GUI
2. Another one with a home-made version of a Linux distribution :
• no GUI Linux for sparing resources for the AI compute
  
• already packaged an IoT Edge SDK
• already packaged a Docker application
3. A last box used as a Dev R&D box, to try many combinations of installations
• version of Linux,
• GUI vs no-GUI,
• Version of camera and tricky drivers for Linux combined with the fact that we are in a Docker Container
• Type of camera : USB vs. RJ45 vs. Wifi
• type of AI (many versions of TensorFlow, OpenCV …),
• Power needed in terms of CPU to run YOLO libraries,
• …

• Last but not least Igor also created a streaming server so that the OUTPUT of the camera is not the “barebone RAW” image captured, but a version enhanced with what the AI has been detected as object / defect. With possible output :
• VGA cable (via an tiny and fragile adapter from Drone=> VGA
• RJ45
• Wifi

For the demo, we used RJ45 as a plan A, and a VGA as plan B just in case.
By experience, the organizers of MS Experiences preferred to ban any Wifi. Luckily, we has 3 possibilities

VISEO & IMAGE ACQUISITION

Similarly to a real professional camera, it is not a regular camera that we are using, but a camera composed into two distinct pieces. One coming from Germany, and the other one imported from Japan.

1. An industrial Sensor, of brand iDS
   
2. A professional lens
   
3. All combined
   
4. Installing the drivers – testing on Windows, then on Linux, then Docker+Linux !
   
5. once deployed in the Drone
   https://twitter.com/VISEOGroup/status/1060129485717209088
   
   
   

HOW TO CREATE THE AI “home-made” ?

This is another story that needs a white paper itself. Without disclosing any NDA information, be armed with :

• Have a True DataScientific (i.e. not someone that vaguely did a maths and statistics
• Follow a very strict  and robust model (used for over 20 years in Data Mining) => CRISP :
  
• ADAPT the CRISP to take into account the modern DevOps & Cloud approach.
  As for us, build up from our AI+DevOps experience, we used a simplified version of TDSP : https://docs.microsoft.com/en-us/azure/machine-learning/team-data-science-process/team-data-science-process-for-devops
• be armed with a lot of patience : hours, days, nights !!!
  training, and re-training, and re-training, and re-training, and re-training, and re-training…. the AI model, up until you get an adequate one
   
• some more hours, days, nights assessing the model on Linux – Here Artem Sheiko, the master chef of this AI
  
• And lots of coffee, next to a skeptical customer top expert in Railway field that will push us to the limits !!
  

APPENDICES

• Two other camera view angle : 
• Focus Speakers: https://youtu.be/oaYe6maXrcg?t=3242
• Focus demo https://www.youtube.com/watch?v=S3ZPtwAPG8Q&t=92m28s&feature=youtu.be  
• https://youtu.be/uC6skEWqgdg?t=91
• Hot reaction after the keynote : https://www.youtube.com/watch?v=5V3MqerziqY&feature=youtu.be
• Azure Logic Apps