1.0Pôle d'innovation BlueArk Entremonthttps://blueark.ch/en/BlueArkhttps://blueark.ch/en/author/blueark/rich600338<blockquote class="wp-embedded-content" data-secret="KYfJS30hLt"><a href="https://blueark.ch/en/wp-portfolio-en/smart-twins-en/">Smart Twins</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://blueark.ch/en/wp-portfolio-en/smart-twins-en/embed/#?secret=KYfJS30hLt" width="600" height="338" title="“Smart Twins” — Pôle d'innovation BlueArk Entremont" data-secret="KYfJS30hLt" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script> /*! This file is auto-generated */ !function(d,l){"use strict";l.querySelector&&d.addEventListener&&"undefined"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!/[^a-zA-Z0-9]/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret="'+t.secret+'"]'),o=l.querySelectorAll('blockquote[data-secret="'+t.secret+'"]'),c=new RegExp("^https?:$","i"),i=0;i<o.length;i++)o[i].style.display="none";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute("style"),"height"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):"link"===t.message&&(r=new URL(s.getAttribute("src")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener("message",d.wp.receiveEmbedMessage,!1),l.addEventListener("DOMContentLoaded",function(){for(var e,t,s=l.querySelectorAll("iframe.wp-embedded-content"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute("data-secret"))||(t=Math.random().toString(36).substring(2,12),e.src+="#?secret="+t,e.setAttribute("data-secret",t)),e.contentWindow.postMessage({message:"ready",secret:t},"*")},!1)))}(window,document); //# sourceURL=https://blueark.ch/wp-includes/js/wp-embed.min.js </script> https://newblueark.ismystar.ch/wp-content/uploads/2022/03/Smart-twins-1024x819.jpg600480The purpose of the Smart Twins project is to make use of water meter data. This solution involves using the potential of machine learning to create a virtual copy of water supply networks to simulate their operation in real time. This digital copy not only provides a clear picture of the operation of a region’s water supply network, it also makes it possible to detect and locate leaks, stoppages and diversions in real time. It could therefore be used to anticipate flash floods simply by installing a small number of sensors.