{"id":654066,"date":"2021-10-11T14:45:19","date_gmt":"2021-10-11T12:45:19","guid":{"rendered":"https:\/\/www.devoteam.com\/success-story\/grdf\/"},"modified":"2025-06-30T11:30:59","modified_gmt":"2025-06-30T09:30:59","slug":"grdf","status":"publish","type":"success-story","link":"https:\/\/devoteam.info\/fr\/success-story\/grdf\/","title":{"rendered":"GRDF : un moyen innovant d\u2019identifier les produits chimiques avec Cloud AutoML"},"content":{"rendered":"\n\t
\n\n\t\n\t

R\u00e9sum\u00e9<\/h3>
1<\/span><\/div>

Objectif: garantir la s\u00e9curit\u00e9 du r\u00e9seau en permettant aux techniciens & aux ing\u00e9nieurs de pipelines d\u2019identifier pr\u00e9cis\u00e9ment les produits chimiques rencontr\u00e9s.<\/p><\/div><\/div>

2<\/span><\/div>

Mobilisation rapide de l\u2019intelligence artificielle (IA)<\/p><\/div><\/div>

3<\/span><\/div>

Gr\u00e2ce au d\u00e9veloppement agile de Devoteam G Cloud \u00e0 l\u2019aide de GCP, le lancement de l\u2019application pour smartphone des fiches de donn\u00e9es a pris moins de deux mois<\/p><\/div><\/div><\/div>\n\t\n\t<\/div>\n\n\n\n\n\t

\n\n\t\n\t
\n\n<\/svg>

Pour stimuler l\u2019innovation, nous avons besoin d\u2019effectuer des tests rapides directement avec les personnes concern\u00e9es, afin de d\u00e9velopper des solutions adapt\u00e9es \u00e0 des probl\u00e9matiques concr\u00e8tes. Nous voulons trouver des solutions le plus rapidement possible, et GCP nous le permet.<\/p><\/blockquote>

\n
\n
\n\t

Jean-Charles Jorandon<\/p>\n\t\n\t

responsable de l\u2019innovation num\u00e9rique, GRDF<\/p>\n\t<\/div>\n<\/div>\n<\/figcaption><\/figure>\n\t\n\t<\/div>\n\n\n\n\n

\u00c0 propos de GRDF<\/h2>\n\n\n\n

Avec ses 200 000 km de pipelines, GRDF (Gaz R\u00e9seau Distribution France) g\u00e8re le plus grand r\u00e9seau de gaz naturel d\u2019Europe. Depuis sa cr\u00e9ation en 2007, la soci\u00e9t\u00e9 est devenue un fournisseur d\u2019\u00e9nergie dynamique et puissant dans le paysage du service public fran\u00e7ais : en 2017, elle comptait 10,9 millions de clients et enregistrait un chiffre d\u2019affaires de 3,6 milliards d\u2019euros.<\/p>\n\n\n\n

Le Probl\u00e8me<\/h2>\n\n\n\n

Afin de jouer un r\u00f4le cl\u00e9 dans la transition vers une \u00e9nergie plus verte, GRDF applique des mesures importantes comme le d\u00e9veloppement du biom\u00e9thane et la transformation du r\u00e9seau pour en accro\u00eetre l\u2019efficacit\u00e9. Dans le cadre de cette transition, l\u2019entreprise envisage d\u2019\u00e9largir son offre avec des services autres que la distribution de gaz. \u00c0 titre d\u2019exemple, elle propose le compteur intelligent Gazpar, un projet d\u2019une envergure unique en Europe pour le r\u00e9seau de gaz. Elle pr\u00e9voit \u00e9galement d\u2019adopter de nouvelles m\u00e9thodes d\u2019utilisation des donn\u00e9es afin d\u2019am\u00e9liorer le r\u00e9seau de mani\u00e8re innovante et agile.<\/p>\n\n\n\n

L\u2019objectif<\/h2>\n\n\n\n

Pour mener \u00e0 bien cette transformation, l\u2019\u00e9quipe de GRDF responsable de l\u2019innovation num\u00e9rique a d\u00e9cid\u00e9 de d\u00e9couvrir comment le machine learning pourrait l\u2019aider \u00e0 relever un d\u00e9fi majeur : garantir la s\u00e9curit\u00e9 du r\u00e9seau en permettant aux techniciens et aux ing\u00e9nieurs de pipelines d\u2019identifier pr\u00e9cis\u00e9ment les produits chimiques rencontr\u00e9s. <\/p>\n\n\n\n

La Solution<\/h2>\n\n\n\n

Et c\u2019est Google Cloud Platform qui lui a fourni la solution. En plus de d\u00e9velopper l\u2019application, le partenaire de mise en \u0153uvre Devoteam G Coud a organis\u00e9 des ateliers afin d\u2019expliquer aux \u00e9quipes de GRDF comment fonctionne l\u2019application et comment l\u2019IA peut transformer les processus de l\u2019entreprise.<\/p>\n\n\n\n

\u00ab Si nos data scientists connaissaient d\u00e9j\u00e0 le machine learning et TensorFlow, ils ont approfondi leurs connaissances de la technologie avec grand int\u00e9r\u00eat, a soulign\u00e9 M. Jorandon.<\/p>\n\n\n\n

Avant l\u2019atelier, les comp\u00e9tences de nos d\u00e9veloppeurs en ML ou IA \u00e9taient limit\u00e9es. Il \u00e9tait vraiment important pour nous que l\u2019\u00e9quipe comprenne mieux les produits Google et \u00e9tudie un cas d\u2019utilisation concret. \u00bb<\/p>\n\n\n\n\t

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Nous avons choisi GCP, car les composants de base de Google Cloud ML Engine sont utilisables imm\u00e9diatement. Ces outils peuvent \u00eatre mobilis\u00e9s tr\u00e8s rapidement, et s\u2019adaptent donc parfaitement \u00e0 notre mani\u00e8re de r\u00e9aliser des tests et des prototypes.<\/p><\/blockquote>

\n
\n
\n\t

Jean-Charles Jorandon<\/p>\n\t\n\t

responsable de l\u2019innovation num\u00e9rique, GRDF<\/p>\n\t<\/div>\n<\/div>\n<\/figcaption><\/figure>\n\t\n\t<\/div>\n\n\n\n\n

\u00e9thode<\/h2>\n\n\n\n

\u00ab Les noms des produits chimiques sont souvent alambiqu\u00e9s. Nous ne voulions pas que le technicien se retrouve face \u00e0 une longue liste dans laquelle il devrait conna\u00eetre le nom exact du produit pour le trouver. \u00bb a expliqu\u00e9 M. Jorandon.<\/p>\n\n\n\n

C\u2019est dans cette optique que GRDF s\u2019est associ\u00e9 \u00e0 Devoteam G Cloud pour d\u00e9velopper une application. Cette derni\u00e8re utilise TensorFlow et Google Cloud ML Engine pour identifier les produits chimiques en se basant uniquement sur une photographie de leur emballage. \u00ab \u00c0 l\u2019aide de l\u2019IA, l\u2019application peut reconna\u00eetre automatiquement un produit en identifiant la forme du conteneur ou son emballage. Elle peut ainsi pr\u00e9senter la bonne fiche de donn\u00e9es au technicien. \u00bb a ajout\u00e9 M. Jorandon.<\/p>\n\n\n\n

\u00ab Pour que la reconnaissance des formes puisse fonctionner, il faut prendre des milliers de photographies du produit. Tous les produits chimiques que nous utilisons ont \u00e9t\u00e9 photographi\u00e9s sous toutes les coutures (angle, distance et configuration). Nous avons ensuite mis ces clich\u00e9s \u00e0 disposition sur Google Cloud Storage. L\u2019\u00e9quipe Devoteam G Cloud s\u2019est alors charg\u00e9e de d\u00e9finir les param\u00e8tres sur Cloud ML Engine \u00e0 l\u2019aide de TensorFlow, afin de cr\u00e9er les mod\u00e8les de reconnaissance. Ces derniers ont ensuite \u00e9t\u00e9 int\u00e9gr\u00e9s \u00e0 l\u2019application. \u00bb<\/p>\n\n\n\n\t

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\n\n<\/svg>

Google a d\u00e9ploy\u00e9 tant d\u2019efforts pour d\u00e9velopper l\u2019IA que nous savions que sa technologie avanc\u00e9e constituerait pour nous un avantage d\u00e9terminant.<\/p><\/blockquote>

\n
\n
\n\t

Jean-Charles Jorandon<\/p>\n\t\n\t

responsable de l\u2019innovation num\u00e9rique, GRDF<\/p>\n\t<\/div>\n<\/div>\n<\/figcaption><\/figure>\n\t\n\t<\/div>\n\n\n\n\n

Le R\u00e9sultat<\/h2>\n\n\n\n

Gr\u00e2ce au d\u00e9veloppement agile de Devoteam G Cloud \u00e0 l\u2019aide de GCP, le lancement de l\u2019application pour smartphone des fiches de donn\u00e9es a pris moins de deux mois. \u00ab Nous l\u2019avons mise en \u0153uvre dans la r\u00e9gion de Lyon pendant une p\u00e9riode de test de trois mois, a expliqu\u00e9 M. Jorandon, et les r\u00e9sultats sont tr\u00e8s encourageants : l\u2019application reconna\u00eet 60 produits, et permet aux techniciens d\u2019acc\u00e9der facilement aux mesures de s\u00e9curit\u00e9. \u00bb<\/p>\n\n\n\n

Gr\u00e2ce \u00e0 Google Cloud, GRDF a pu d\u00e9velopper le prototype de l\u2019application rapidement, sans d\u00e9penses impr\u00e9vues. \u00ab Les co\u00fbts sont parfaitement transparents et tout \u00e0 fait raisonnables \u00bb, a indiqu\u00e9 M. Jorandon. L\u2019utilisation de GCP nous permet de mobiliser des ressources tr\u00e8s rapidement, \u00e0 un prix raisonnable, dans le cadre d\u2019un sc\u00e9nario de test. \u00bb<\/p>\n","protected":false},"excerpt":{"rendered":"

\u00c0 propos de GRDF Avec ses 200 000 km de pipelines, GRDF (Gaz R\u00e9seau Distribution France) g\u00e8re le plus grand r\u00e9seau de gaz naturel d\u2019Europe. Depuis sa cr\u00e9ation en 2007, la soci\u00e9t\u00e9 est devenue un fournisseur d\u2019\u00e9nergie dynamique et puissant dans le paysage du service public fran\u00e7ais : en 2017, elle comptait 10,9 millions de clients et enregistrait […]<\/p>\n","protected":false},"featured_media":281865,"template":"","categories":[934],"tags":[5783],"industry":[],"class_list":["post-654066","success-story","type-success-story","status-publish","has-post-thumbnail","hentry","category-google-cloud","tag-g-cloud-fr"],"acf":[],"cards":"\n\t

\n\n\t\t
\"GRDF<\/a><\/figure>\n\n\t\t\n\t\t
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