{"id":61416,"date":"2021-04-19T12:48:08","date_gmt":"2021-04-19T11:48:08","guid":{"rendered":"https:\/\/datascientest.com\/?p=61416"},"modified":"2023-10-18T19:11:44","modified_gmt":"2023-10-18T19:11:44","slug":"lopen-data-au-service-de-la-renovation-energetique-des-batiments","status":"publish","type":"post","link":"https:\/\/datascientest.com\/lopen-data-au-service-de-la-renovation-energetique-des-batiments","title":{"rendered":"L\u2019IA et l\u2019open data au service de la r\u00e9novation \u00e9nerg\u00e9tique des b\u00e2timents"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"61416\" class=\"elementor elementor-61416\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-734e444 e-flex e-con-boxed e-con\" data-id=\"734e444\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-59601eb elementor-widget elementor-widget-text-editor\" data-id=\"59601eb\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#69727d;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#69727d;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<h2>La 16 mars dernier, dans le cadre de son webinar hebdomadaire, DataScientest a eu le plaisir d\u2019accueillir des experts data de l\u2019entreprise\u00a0<a href=\"https:\/\/namr.com\/fr\/\">namR<\/a>. Respectivement Data Analyst et Lead Computer Vision Engineer, Marc St\u00e9fanon et Sylvain Gavoille ont expliqu\u00e9 \u00e0 notre communaut\u00e9 comment l\u2019<a href=\"https:\/\/datascientest.com\/intelligence-artificielle-quelles-sont-les-tendances-en-2022\">Intelligence artificielle<\/a> et l\u2019<a href=\"https:\/\/datascientest.com\/open-data\">Open Data<\/a> peuvent participer \u00e0 la r\u00e9novation \u00e9nerg\u00e9tique des b\u00e2timents. Dans cet article, nous allons reprendre l\u2019ensemble de leur pr\u00e9sentation.<\/h2>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a9a0ac4 elementor-widget__width-initial elementor-widget elementor-widget-video\" data-id=\"a9a0ac4\" data-element_type=\"widget\" data-settings=\"{&quot;youtube_url&quot;:&quot;https:\\\/\\\/youtu.be\\\/bvNZkRe6dME&quot;,&quot;video_type&quot;:&quot;youtube&quot;,&quot;controls&quot;:&quot;yes&quot;}\" data-widget_type=\"video.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-video .elementor-widget-container{overflow:hidden;transform:translateZ(0)}.elementor-widget-video .elementor-wrapper{aspect-ratio:var(--video-aspect-ratio)}.elementor-widget-video .elementor-wrapper iframe,.elementor-widget-video .elementor-wrapper video{height:100%;width:100%;display:flex;border:none;background-color:#000}@supports not (aspect-ratio:1\/1){.elementor-widget-video .elementor-wrapper{position:relative;overflow:hidden;height:0;padding-bottom:calc(100% \/ var(--video-aspect-ratio))}.elementor-widget-video .elementor-wrapper iframe,.elementor-widget-video .elementor-wrapper video{position:absolute;top:0;right:0;bottom:0;left:0}}.elementor-widget-video .elementor-open-inline .elementor-custom-embed-image-overlay{position:absolute;top:0;right:0;bottom:0;left:0;background-size:cover;background-position:50%}.elementor-widget-video .elementor-custom-embed-image-overlay{cursor:pointer;text-align:center}.elementor-widget-video .elementor-custom-embed-image-overlay:hover .elementor-custom-embed-play i{opacity:1}.elementor-widget-video .elementor-custom-embed-image-overlay img{display:block;width:100%;aspect-ratio:var(--video-aspect-ratio);-o-object-fit:cover;object-fit:cover;-o-object-position:center center;object-position:center center}@supports not (aspect-ratio:1\/1){.elementor-widget-video .elementor-custom-embed-image-overlay{position:relative;overflow:hidden;height:0;padding-bottom:calc(100% \/ var(--video-aspect-ratio))}.elementor-widget-video .elementor-custom-embed-image-overlay img{position:absolute;top:0;right:0;bottom:0;left:0}}.elementor-widget-video .e-hosted-video .elementor-video{-o-object-fit:cover;object-fit:cover}.e-con-inner>.elementor-widget-video,.e-con>.elementor-widget-video{width:var(--container-widget-width);--flex-grow:var(--container-widget-flex-grow)}<\/style>\t\t<div class=\"elementor-wrapper elementor-open-inline\">\n\t\t\t<div class=\"elementor-video\"><\/div>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-2eb2054 e-flex e-con-boxed e-con\" data-id=\"2eb2054\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-63d7cdf elementor-widget elementor-widget-heading\" data-id=\"63d7cdf\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-heading-title{padding:0;margin:0;line-height:1}.elementor-widget-heading .elementor-heading-title[class*=elementor-size-]>a{color:inherit;font-size:inherit;line-height:inherit}.elementor-widget-heading .elementor-heading-title.elementor-size-small{font-size:15px}.elementor-widget-heading .elementor-heading-title.elementor-size-medium{font-size:19px}.elementor-widget-heading .elementor-heading-title.elementor-size-large{font-size:29px}.elementor-widget-heading .elementor-heading-title.elementor-size-xl{font-size:39px}.elementor-widget-heading .elementor-heading-title.elementor-size-xxl{font-size:59px}<\/style><h3 class=\"elementor-heading-title elementor-size-default\">I. Pr\u00e9sentation de namR<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4d8895e elementor-widget elementor-widget-text-editor\" data-id=\"4d8895e\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Cr\u00e9\u00e9e en 2017, namR enrichit, produit et fournit des donn\u00e9es g\u00e9olocalis\u00e9es hautement actionnables. Ces donn\u00e9es couvrent l\u2019ensemble du territoire fran\u00e7ais et repr\u00e9sentent 34 millions de b\u00e2timents sur lesquels namR est en mesure de donner <strong>200 caract\u00e9ristiques diff\u00e9rentes<\/strong> permettant notamment d\u2019acc\u00e9l\u00e9rer la transition \u00e9cologique et d\u2019enrichir la connaissance des territoires. L\u2019entreprise compte aujourd\u2019hui 40 personnes et r\u00e9alise un chiffre d\u2019affaires annuel de 5,3 millions d\u2019euros.<\/p><p>NamR r\u00e9colte des donn\u00e9es provenant de ses partenaires et de l\u2019Open data, c\u2019est-\u00e0-dire des donn\u00e9es dont l\u2019acc\u00e8s est <strong>public et libre de droit<\/strong>. Ces donn\u00e9es sont fortement lacunaires, <strong>non structur\u00e9es<\/strong> et de plusieurs types (images, textes, cartes, etc.). L\u2019activit\u00e9 de namR consiste \u00e0 nettoyer ces donn\u00e9es et les enrichir gr\u00e2ce au Machine Learning, des <a href=\"https:\/\/datascientest.com\/3-algorithmes-de-machine-learning-utiles-pour-votre-business\">algorithmes<\/a> g\u00e9ospaciaux et \u00e0 des r\u00e8gles m\u00e9tier partag\u00e9es par des partenaires sp\u00e9cialis\u00e9s. L\u2019activit\u00e9 est totalement compatible avec les r\u00e8gles fix\u00e9es par le <a href=\"https:\/\/datascientest.com\/rgpd-definition\">R\u00e8glement G\u00e9n\u00e9ral sur la Protection des Donn\u00e9es (RGPD)<\/a> puisqu\u2019il utilise des donn\u00e9es non personnelles.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e15d5d8 elementor-widget elementor-widget-image\" data-id=\"e15d5d8\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-image{text-align:center}.elementor-widget-image a{display:inline-block}.elementor-widget-image a img[src$=\".svg\"]{width:48px}.elementor-widget-image img{vertical-align:middle;display:inline-block}<\/style>\t\t\t\t\t\t\t\t\t<figure class=\"wp-caption\">\n\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"768\" height=\"273\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2021\/04\/AAAA-768x273.png\" class=\"attachment-medium_large size-medium_large wp-image-61543\" alt=\"\" srcset=\"https:\/\/datascientest.com\/wp-content\/uploads\/2021\/04\/AAAA-768x273.png 768w, https:\/\/datascientest.com\/wp-content\/uploads\/2021\/04\/AAAA-300x107.png 300w, https:\/\/datascientest.com\/wp-content\/uploads\/2021\/04\/AAAA-1024x364.png 1024w, https:\/\/datascientest.com\/wp-content\/uploads\/2021\/04\/AAAA-1536x546.png 1536w, https:\/\/datascientest.com\/wp-content\/uploads\/2021\/04\/AAAA.png 1616w\" sizes=\"(max-width: 768px) 100vw, 768px\" \/>\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\">Pipeline data namR : de l\u2019open data aux besoins des clients<\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6091744 elementor-widget elementor-widget-text-editor\" data-id=\"6091744\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Ce traitement des donn\u00e9es permet d\u2019associer \u00e0 chaque adresse\u00a0une entit\u00e9 (parcelle, b\u00e2timent, etc.) et \u00e0 chaque entit\u00e9 des <strong>attributs<\/strong> (hauteur, surface vitr\u00e9e, pr\u00e9sence d\u2019un jardin, d\u2019une piscine, etc.).<\/p><p>Les clients de namR, selon leur activit\u00e9, ont besoin d\u2019information diverses sur les adresses de leurs clients ou sur leurs propres adresses pour les entreprises ou collectivit\u00e9s qui ont une multitude d\u2019adresse (op\u00e9rateurs t\u00e9l\u00e9phoniques, banques, etc.). Selon leurs besoins, namR leur fournit des <strong>assets pertinents<\/strong> et les int\u00e8gre dans leurs outils comme tableau,\u00a0<a href=\"https:\/\/youtu.be\/KmlPes31opA\">toucan toco<\/a>\u00a0ou des plateformes cloud comme\u00a0<a href=\"https:\/\/datascientest.com\/tout-savoir-sur-microsoft-azure\">Azure<\/a>, <a href=\"https:\/\/datascientest.com\/amazon-web-services-tout-savoir\">AWS<\/a> ou Google Cloud.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-776869e elementor-widget elementor-widget-image\" data-id=\"776869e\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t<figure class=\"wp-caption\">\n\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"800\" height=\"273\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2021\/04\/BBBB-1024x349.png\" class=\"attachment-large size-large wp-image-61544\" alt=\"\" srcset=\"https:\/\/datascientest.com\/wp-content\/uploads\/2021\/04\/BBBB-1024x349.png 1024w, https:\/\/datascientest.com\/wp-content\/uploads\/2021\/04\/BBBB-300x102.png 300w, https:\/\/datascientest.com\/wp-content\/uploads\/2021\/04\/BBBB-768x261.png 768w, https:\/\/datascientest.com\/wp-content\/uploads\/2021\/04\/BBBB.png 1143w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/>\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\">Ensemble des attributs disponibles pour les 34 millions d\u2019adresses de la base de donn\u00e9es namR<\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-348f0bf elementor-widget elementor-widget-text-editor\" data-id=\"348f0bf\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Par exemple, pour une entreprise sur le march\u00e9 de l\u2019\u00e9nergie, namR est en mesure de donner quel type de chauffages sont utilis\u00e9s \u00e0 chaque adresse ou de savoir o\u00f9 des panneaux solaires peuvent \u00eatre install\u00e9s. Les entreprises peuvent ainsi <strong>identifier les potentiels \u00e9nerg\u00e9tiques des biens,<\/strong> cibler les adresses \u00e0 haut potentiel et proposer des offres personnalis\u00e9es.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-2daf45d e-flex e-con-boxed e-con\" data-id=\"2daf45d\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-230245e elementor-widget elementor-widget-heading\" data-id=\"230245e\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">II. Open Data: Cas d\u2019utilisation des solutions namR<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-603fcea elementor-widget elementor-widget-text-editor\" data-id=\"603fcea\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Marc St\u00e9fanon et Sylvain Gavoille ont choisi de s\u2019int\u00e9resser \u00e0 la <strong>r\u00e9novation \u00e9nerg\u00e9tique<\/strong> pour illustrer l\u2019activit\u00e9 de namR. En effet, les donn\u00e9es collect\u00e9es et produites sur l\u2019ensemble du territoire fran\u00e7ais permettent de mieux identifier les 7 millions de logements \u00e9nergivores en France et intervenir efficacement pour atteindre les objectifs fix\u00e9s par le gouvernement.\u00a0: r\u00e9duire de 40% les \u00e9missions de Gaz \u00e0 effet de serre et la neutralit\u00e9 carbone d\u2019ici 2050. La r\u00e9novation \u00e9nerg\u00e9tique est un enjeu prioritaire puisque les logements les plus \u00e9nergivores (ou passoires thermiques) seront interdits \u00e0 la location \u00e0 partir de 2023.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-afe10a0 elementor-widget elementor-widget-image\" data-id=\"afe10a0\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t<figure class=\"wp-caption\">\n\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"800\" height=\"211\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2021\/04\/CCC.png\" class=\"attachment-large size-large wp-image-61553\" alt=\"\" srcset=\"https:\/\/datascientest.com\/wp-content\/uploads\/2021\/04\/CCC.png 840w, https:\/\/datascientest.com\/wp-content\/uploads\/2021\/04\/CCC-300x79.png 300w, https:\/\/datascientest.com\/wp-content\/uploads\/2021\/04\/CCC-768x203.png 768w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/>\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\">Projet de namR pour les \u00e9tablissements scolaires<\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-cfb0089 elementor-widget elementor-widget-text-editor\" data-id=\"cfb0089\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>NamR a cr\u00e9\u00e9 une plateforme tRees (transition de r\u00e9novation \u00e9nerg\u00e9tique des b\u00e2timents \u00e9ducatifs et scolaires) pour permettre aux gestionnaires d\u2019actifs d\u2019avoir une meilleure connaissance de leur par cet identifier les b\u00e2timents sur lesquels intervenir pour r\u00e9duire leurs factures et leur empreinte carbone en r\u00e9duisant leur consommation.<\/p><p>Pour proposer des <strong>donn\u00e9es pertinentes<\/strong> \u00e0 chaque adresse, namR se base sur l\u2019open data. Cependant les informations collect\u00e9es ne sont pas suffisantes pour r\u00e9pondre \u00e0 l\u2019ensemble des besoins des clients. C\u2019est ainsi qu\u2019intervient la massification des donn\u00e9es\u00a0: gr\u00e2ce \u00e0 des <strong>algorithmes pr\u00e9dictifs<\/strong> (Machine Learning et Deep Learning) et \u00e0 des r\u00e8gles m\u00e9tier, namR identifie les caract\u00e9ristiques des b\u00e2timents. Cette <strong>massification<\/strong> permet alors de trouver les types de toit utilis\u00e9s \u00e0 chaque adresse pour \u00e9ventuellement proposer des panneaux photovolta\u00efques ou identifier les toits v\u00e9tustes \u00e0 r\u00e9nover.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-41b416a e-flex e-con-boxed e-con\" data-id=\"41b416a\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-7a88635 elementor-widget elementor-widget-heading\" data-id=\"7a88635\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">III. Les 5 \u00e9tapes de la technologie namR<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b8f31f2 elementor-widget elementor-widget-heading\" data-id=\"b8f31f2\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">1. GeocodR<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-87da085 elementor-widget elementor-widget-text-editor\" data-id=\"87da085\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p style=\"padding-left: 40px;\">Cette \u00e9tape consiste \u00e0 trouver les coordonn\u00e9es GPS des adresses. Les donn\u00e9es d\u2019entr\u00e9es sont sous forme de texte et <strong>un programme appel\u00e9 parseur<\/strong>, d\u00e9coupe le texte en segments logiques (num\u00e9ro de rue, nom de la rue, coode postal, etc.) qui alimentent le geocodR qui donne \u00e0 l\u2019adresse un identifiant unique et des coordonn\u00e9es (latitude et longitude).<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1f44113 elementor-widget elementor-widget-heading\" data-id=\"1f44113\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">2. R\u00e9f\u00e9rentiels adresse et b\u00e2timent<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6f97daf elementor-widget elementor-widget-text-editor\" data-id=\"6f97daf\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p style=\"padding-left: 40px;\">Le syst\u00e8me s\u2019appuie sur une base publique de l\u2019institut national de l\u2019information g\u00e9ographique et foresti\u00e8re (IGN). La base de donn\u00e9es BDTOPO contient l\u2019empreinte au sol des b\u00e2timents et leur g\u00e9om\u00e9trie en 2D.<\/p><p style=\"padding-left: 40px;\">La base contient beaucoup d\u2019<strong>informations de tout type<\/strong> qui n\u00e9cessitent d\u2019\u00eatre nettoy\u00e9es.<\/p><p style=\"padding-left: 40px;\">Dans cette \u00e9tape, un lien est cr\u00e9\u00e9 entre les adresses et les b\u00e2timents. Ce lien est compliqu\u00e9 \u00e0 r\u00e9aliser, car une adresse peut \u00eatre reli\u00e9e \u00e0 plusieurs b\u00e2timents et un b\u00e2timent \u00e0 plusieurs adresses.<\/p><p style=\"padding-left: 40px;\">Dans un tiers des adresses, ces questions se posent et l\u2019<strong>expertise de namR<\/strong> permet d\u2019\u00e9tablir ce lien.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-84995b0 elementor-widget elementor-widget-heading\" data-id=\"84995b0\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">3. Attributs<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e1b1507 elementor-widget elementor-widget-text-editor\" data-id=\"e1b1507\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p style=\"padding-left: 40px;\">Les donn\u00e9es collect\u00e9es viennent de plusieurs sources ainsi l\u2019\u00e9tape de normalisation et standardisation est cruciale pour pouvoir en tirer des informations correspondant \u00e0 la r\u00e9alit\u00e9. La <strong>multiplicit\u00e9 des sources<\/strong> cr\u00e9ent \u00e9galement une probl\u00e9matique\u00a0: plusieurs sources donnent des informations contradictoires sur le m\u00eame objet, un travail est donc n\u00e9cessaire pour fournir une donn\u00e9e coh\u00e9rente aux algorithmes.<\/p><p style=\"padding-left: 40px;\">\u00c0 partir des donn\u00e9es d\u2019entr\u00e9e, les mod\u00e8les de <a href=\"https:\/\/datascientest.com\/computer-vision\">computer vision<\/a>\u00a0classifient et segmentent les adresses.<\/p><p style=\"padding-left: 40px;\">Diff\u00e9rentes images sont trait\u00e9es\u00a0:<\/p><ul><li style=\"list-style-type: none;\"><ul><li>des images a\u00e9riennes d\u2019une r\u00e9solution de 20cm par pixel<\/li><li>des images de fa\u00e7ades<\/li><li>des images satellites d\u2019une r\u00e9solution de 20m par pixel<\/li><li>des images de Airbus (partenaire namR) ayant une bonne r\u00e9solution<\/li><\/ul><\/li><\/ul><p style=\"padding-left: 40px;\">Algorithmes de Deep Learning sont appliqu\u00e9s sur ces images :<\/p><ul><li style=\"list-style-type: none;\"><ul><li>Resnet50 pour la classification par exemple l\u2019identification du type de toit<\/li><li>UNET pour segmentation par exemple les pixels correspondant aux surfaces vitr\u00e9es des fa\u00e7ades pour calculer des perditions thermiques<\/li><\/ul><\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-132c240 elementor-widget elementor-widget-image\" data-id=\"132c240\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"800\" height=\"264\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2021\/04\/DDDD-1024x338.png\" class=\"attachment-large size-large wp-image-61556\" alt=\"\" srcset=\"https:\/\/datascientest.com\/wp-content\/uploads\/2021\/04\/DDDD-1024x338.png 1024w, https:\/\/datascientest.com\/wp-content\/uploads\/2021\/04\/DDDD-300x99.png 300w, https:\/\/datascientest.com\/wp-content\/uploads\/2021\/04\/DDDD-768x253.png 768w, https:\/\/datascientest.com\/wp-content\/uploads\/2021\/04\/DDDD-1536x506.png 1536w, https:\/\/datascientest.com\/wp-content\/uploads\/2021\/04\/DDDD-2048x675.png 2048w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-10c4c94 elementor-widget elementor-widget-text-editor\" data-id=\"10c4c94\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p style=\"padding-left: 40px;\">Sur l\u2019exmple ci-dessus, on voit par exemple que les algorithmes ont identifi\u00e9 des panneaux solaires en rouge sur un b\u00e2timent et des espaces v\u00e9g\u00e9talis\u00e9s en vert.<\/p><p style=\"padding-left: 40px;\">En plus de la computer vision, namR fait appel \u00e0 des <strong>algorithmes de natural language processing<\/strong> (<a href=\"https:\/\/datascientest.com\/introduction-au-nlp-natural-language-processing\">NLP<\/a>) pour analyser les plans locaux d\u2019urbanisme (PLU) ou des permis de construire pour les lier \u00e0 des adresses et des b\u00e2timents et ainsi en d\u00e9duire des donn\u00e9es sur des adresses.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ee87180 elementor-widget elementor-widget-image\" data-id=\"ee87180\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"800\" height=\"243\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2021\/04\/EEEEE-1024x311.png\" class=\"attachment-large size-large wp-image-61559\" alt=\"\" srcset=\"https:\/\/datascientest.com\/wp-content\/uploads\/2021\/04\/EEEEE-1024x311.png 1024w, https:\/\/datascientest.com\/wp-content\/uploads\/2021\/04\/EEEEE-300x91.png 300w, https:\/\/datascientest.com\/wp-content\/uploads\/2021\/04\/EEEEE-768x233.png 768w, https:\/\/datascientest.com\/wp-content\/uploads\/2021\/04\/EEEEE-1536x466.png 1536w, https:\/\/datascientest.com\/wp-content\/uploads\/2021\/04\/EEEEE-2048x621.png 2048w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-cf45834 elementor-widget elementor-widget-heading\" data-id=\"cf45834\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">4. \u00c9valuation des valeurs<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-00369a1 elementor-widget elementor-widget-text-editor\" data-id=\"00369a1\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p style=\"padding-left: 40px;\">Tout le processus de cr\u00e9ation des donn\u00e9es d\u00e9crit ci-dessus est standardis\u00e9 et normalis\u00e9 pour <strong>rendre tra\u00e7ables les donn\u00e9es de sortie<\/strong> et <strong>\u00e9valuer la qualit\u00e9 des donn\u00e9es produites<\/strong>. Chaque attribut est document\u00e9 que ce soit sur les sources ou sur les algorithmes utilis\u00e9s pour l\u2019obtenir. De plus, un indice de confiance de 1 \u00e0 5 a \u00e9t\u00e9 mis en place, si une \u00e9tape contient des incertitude, l\u2019indice des datas qui en sont d\u00e9duites baisse.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f72ca04 elementor-widget elementor-widget-heading\" data-id=\"f72ca04\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">5. Architecture optimis\u00e9e<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-bba38f0 elementor-widget elementor-widget-text-editor\" data-id=\"bba38f0\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p style=\"padding-left: 40px;\">namR poss\u00e8de une quarantaine de millions d\u2019images sur la France enti\u00e8re, ce volume n\u00e9cessite une infrastructure d\u00e9di\u00e9e.<\/p><p style=\"padding-left: 40px;\">En effet, l\u2019utilisation de <a href=\"https:\/\/datascientest.com\/deep-learning-definition\">Deep Learning<\/a> en computer vision necessite l\u2019utilisation de <a href=\"https:\/\/datascientest.com\/gpu-data-science\">GPU<\/a> (<strong>Graphics Processing Units<\/strong>) ou processeur graphique pour \u00eatre performants et avoir des temps de calcul acceptables.<\/p><p style=\"padding-left: 40px;\">Pour supporter ces besoins, namR a cr\u00e9\u00e9 une infrastructure <a href=\"https:\/\/datascientest.com\/kubernetes-data-science\">Kubernetes<\/a> pour contr\u00f4ler les ressources mises \u00e0 disposition pour les calculs et contr\u00f4ler les co\u00fbts.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-e86cf56 e-flex e-con-boxed e-con\" data-id=\"e86cf56\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-b5dfa57 elementor-widget elementor-widget-heading\" data-id=\"b5dfa57\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Conclusion<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-14c9ad4 elementor-widget elementor-widget-text-editor\" data-id=\"14c9ad4\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Depuis 2017, namR collecte des donn\u00e9es g\u00e9ographiques provenant des sources publiques ou de ses partenaires. Apr\u00e8s avoir reli\u00e9 toutes les donn\u00e9es \u00e0 des adresses, un lien est \u00e9tabli entre les adresses et les b\u00e2timents. Enfin, namR est en mesure de fournir plus de 200 caract\u00e9ristiques \u00e0 ses clients sur leurs adresses et ainsi leur permettre de mieux cibler leurs consommateurs ou d\u2019intervenir sur leurs locaux pour les entreprises ayant une multitude d\u2019adresses. Tout ce process n\u00e9cessite une <strong>expertise dans la reconnaissance d\u2019images<\/strong> ou <strong>computer vision<\/strong> ainsi qu\u2019en <strong>compr\u00e9hension du langage (NLP)<\/strong>.<\/p><p><strong>DataScientest<\/strong> remercie vivement Marc St\u00e9fanon et Sylvain Gavoille pour ce webinar qui nous a permis de d\u00e9couvrir une application des datas pour r\u00e9soudre une probl\u00e9matique environnementale, en identifiant les b\u00e2timents fran\u00e7ais les plus \u00e9nergivores et ainsi intervenir en priorit\u00e9 pour r\u00e9duire leur consommation et leurs \u00e9missions de gaz \u00e0 effet de serre.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>La 16 mars dernier, dans le cadre de son webinar hebdomadaire, DataScientest a eu le plaisir d\u2019accueillir des experts data de l\u2019entreprise\u00a0namR. Respectivement Data Analyst et Lead Computer Vision Engineer, Marc St\u00e9fanon et Sylvain Gavoille ont expliqu\u00e9 \u00e0 notre communaut\u00e9 comment l\u2019Intelligence artificielle et l\u2019Open Data peuvent participer \u00e0 la r\u00e9novation \u00e9nerg\u00e9tique des b\u00e2timents. Dans [&hellip;]<\/p>\n","protected":false},"author":45,"featured_media":171995,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_theme","format":"standard","meta":{"content-type":"","inline_featured_image":false},"categories":[2431],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v21.7 (Yoast SEO v21.7) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>L\u2019IA et l\u2019open data au service de la r\u00e9novation \u00e9nerg\u00e9tique des b\u00e2timents<\/title>\n<meta name=\"description\" content=\"Et si l&#039;Open Data servait \u00e0 la r\u00e9novation \u00e9nerg\u00e9tique des b\u00e2timents ? R\u00e9ponse de Marc St\u00e9fanon et Sylvain Gavoille de namR dans ce webinar.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/datascientest.com\/lopen-data-au-service-de-la-renovation-energetique-des-batiments\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"L\u2019IA et l\u2019open data au service de la r\u00e9novation \u00e9nerg\u00e9tique des b\u00e2timents\" \/>\n<meta property=\"og:url\" content=\"https:\/\/datascientest.com\/lopen-data-au-service-de-la-renovation-energetique-des-batiments\" \/>\n<meta property=\"og:site_name\" content=\"Formation Data Science | DataScientest.com\" \/>\n<meta property=\"article:published_time\" content=\"2021-04-19T11:48:08+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2023-10-18T19:11:44+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/datascientest.com\/wp-content\/uploads\/2021\/04\/IA-Open-data.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1249\" \/>\n\t<meta property=\"og:image:height\" content=\"513\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Daniel\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u00c9crit par\" \/>\n\t<meta name=\"twitter:data1\" content=\"Daniel\" \/>\n\t<meta name=\"twitter:label2\" content=\"Dur\u00e9e de lecture estim\u00e9e\" \/>\n\t<meta name=\"twitter:data2\" content=\"8 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/datascientest.com\/lopen-data-au-service-de-la-renovation-energetique-des-batiments\",\"url\":\"https:\/\/datascientest.com\/lopen-data-au-service-de-la-renovation-energetique-des-batiments\",\"name\":\"L\u2019IA et l\u2019open data au service de la r\u00e9novation \u00e9nerg\u00e9tique des b\u00e2timents\",\"isPartOf\":{\"@id\":\"https:\/\/datascientest.com\/#website\"},\"datePublished\":\"2021-04-19T11:48:08+00:00\",\"dateModified\":\"2023-10-18T19:11:44+00:00\",\"author\":{\"@id\":\"https:\/\/datascientest.com\/#\/schema\/person\/5a86e30c5090234fb43dd8baa83c44b0\"},\"description\":\"Et si l'Open Data servait \u00e0 la r\u00e9novation \u00e9nerg\u00e9tique des b\u00e2timents ? 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