{"id":2185,"date":"2022-06-29T20:42:46","date_gmt":"2022-06-29T20:42:46","guid":{"rendered":"https:\/\/salarydistribution.com\/machine-learning\/2022\/06\/29\/the-metaverse-goes-industrial-siemens-nvidia-extend-partnership-to-bring-digital-twins-within-easy-reach\/"},"modified":"2022-06-29T20:42:46","modified_gmt":"2022-06-29T20:42:46","slug":"the-metaverse-goes-industrial-siemens-nvidia-extend-partnership-to-bring-digital-twins-within-easy-reach","status":"publish","type":"post","link":"https:\/\/salarydistribution.com\/machine-learning\/2022\/06\/29\/the-metaverse-goes-industrial-siemens-nvidia-extend-partnership-to-bring-digital-twins-within-easy-reach\/","title":{"rendered":"The Metaverse Goes Industrial: Siemens, NVIDIA Extend Partnership to Bring Digital Twins within Easy Reach"},"content":{"rendered":"<div data-url=\"https:\/\/blogs.nvidia.com\/blog\/2022\/06\/29\/siemens-nvidia-industrial-metaverse\/\" data-title=\"The Metaverse Goes Industrial: Siemens, NVIDIA Extend Partnership to Bring Digital Twins Within Easy Reach\" data-hashtags=\"\">\n<p>Silicon Valley magic met Wednesday with 175 years of industrial technology leadership as Siemens CEO Roland Busch and NVIDIA Founder and CEO Jensen Huang shared their vision for an \u201cindustrial metaverse\u201d at the launch of the Siemens Xcelerator business platform in Munich.<\/p>\n<p>\u201cWhen we combine the real and digital worlds we can achieve new levels of flexibility and we can bring new products to market faster,\u201d Busch said during an event at Siemens\u2019 Munich headquarters.<\/p>\n<p>Pairing physics-based digital models from Siemens with real-time AI from NVIDIA, the companies announced they will connect the Siemens Xcelerator and <a href=\"https:\/\/www.nvidia.com\/en-us\/omniverse\/\">NVIDIA Omniverse<\/a> platforms.<\/p>\n<figure id=\"attachment_57989\" aria-describedby=\"caption-attachment-57989\" class=\"wp-caption aligncenter\">\n<p><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2022\/06\/Side-By-Side-Siemens-NVIDIA.jpg\" alt=\"\" width=\"624\" height=\"312\"><figcaption id=\"caption-attachment-57989\" class=\"wp-caption-text\">The connection between Siemens Xcelerator (left) and NVIDIA Omniverse (right) will enable customers to develop full-design-fidelity, closed-loop digital twins.<\/figcaption><\/figure>\n<p>\u201cWith our two companies we can connect with Siemens makes, and what NVIDIA makes to AI and Omniverse,\u201d Huang said. \u201cWe can now fuse data from the point of design, all the way through product life cycle management, all the way through the automation of plants to the optimization of the plant after deployment \u2013 that entire life cycle can now be in one world.\u201d<\/p>\n<h2>Bringing Real, Virtual Worlds Together<\/h2>\n<p>Siemens Xcelerator is a business platform that includes internet of things-enabled hardware, software and digital services from across Siemens that offer a comprehensive digital twin that can bring together the mechanical, electrical and software domains.<\/p>\n<p>Siemens is a leader in industrial automation and software, infrastructure, building technology and transportation, and their solutions are used across the manufacturing lifecycle from designing products and the equipment to manufacture those products in factories to controlling and tracking how the equipment moves to orchestrating the flow of people, parts and machines across the factory itself.<\/p>\n<p>The company has built a rich portfolio of hardware and software solutions that are part of the Siemens Xcelerator platform that is now at the center of an ecosystem of more than 50 certified partners<\/p>\n<p>The NVIDIA Omniverse 3D collaboration and simulation development platform delivers photorealistic rendering capabilities and advanced AI to the Siemens Xcelerator ecosystem, allowing the digital twin to be represented in full-design fidelity, and operating in real-time.<\/p>\n<h2>Working Side by Side<\/h2>\n<p>During Wednesday\u2019s event, Busch and Huang outlined their plans, showed a demo video of these technologies working together, and sat down for an informal fireside chat with Milan Nedeljkovic, a member of the board of management of BMW.<\/p>\n<p>\u201cThe digital twin itself is not the challenge,\u201d Nedeljkovic said, outlining BMW\u2019s plans to create sophisticated digital models of its manufacturing process that are linked, in real-time- to real-world factories. \u201cThe challenge is to link into this digital twin the existing systems one by one, and to have any change in the digital twin being reverted in the original planning tools.\u201d<\/p>\n<p>Busch and Huang began their conversation by sharing the story behind Wednesday\u2019s news, relaying insights from their meeting in November.<\/p>\n<p>\u201cWe figured out that when we bring our competencies, our technology, our platforms together, we can do something great,\u201d Busch said. \u201cWe can basically go for the full-fledged industrial metaverse\u2026 to have faster decisions, real-time decisions with higher confidence.\u201d<\/p>\n<h2>Transforming Businesses<\/h2>\n<p>With the connection of Siemens Xcelerator and NVIDIA Omniverse, manufacturing customers of any size will be able to immediately analyze issues, identify root causes, and simulate and optimize solutions, thanks to the AI-infused, real-time photorealistic virtual environments, Busch and Huang said.<\/p>\n<p>So, for example, if something goes wrong on the factory floor, teams of users from around the world will be able to meet, virtually, to collaborate and use the connected digital twin to quickly identify, troubleshoot and solve the problem.<\/p>\n<p>The partnership also promises to make factories more efficient and sustainable. Users will more easily be able to turn data streaming from the factory floor PLCs and sensors into AI models. These models can be used to continuously optimize performance, predict problems, reduce energy consumption, and streamline the flow of parts and materials across the factory floor.<\/p>\n<h2>Under the Hood<\/h2>\n<p>The partnership brings together complementary technologies and ecosystems, the two leaders said.<\/p>\n<p>Innovating at the intersection of real and digital worlds, Siemens offers the industry\u2019s most comprehensive digital twin by representing the mechanical, electrical and software domains interacting, Busch explained.<\/p>\n<p>NVIDIA Omniverse is a multi-GPU scalable virtual world engine that enables teams to connect 3D design and CAD applications for collaborative design workflows and allows users to build physically accurate virtual worlds for training, testing and operating AI agents such as robots and autonomous machines.<\/p>\n<p>Together, Xcelerator and Omniverse offer a powerful combination of capabilities.<\/p>\n<figure id=\"attachment_57986\" aria-describedby=\"caption-attachment-57986\" class=\"wp-caption aligncenter\">\n<p><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/blogs.nvidia.com\/wp-content\/uploads\/2022\/06\/Factory-Siemens-NVIDIA.jpg\" alt=\"\" width=\"624\" height=\"351\"><figcaption id=\"caption-attachment-57986\" class=\"wp-caption-text\">Teams will be able to meet and collaborate in NVIDIA Omniverse\u2019s real-time, photorealistic virtual environment.<\/figcaption><\/figure>\n<p>For example, energy and utility plant engineers can virtually navigate through the live digital twin of a facility to analyze the thermal distribution produced by the existing air conditioning. system from Siemens simulations.<\/p>\n<p>Then they can explore different vents and cooling towers configurations, powered by use the of Omniverse\u2019s full-design-fidelity visualization capabilities enabled by real-time ray and path traced rendering.<\/p>\n<p>Ultimately every component inside a factory can be inspected and optimized \u2013 and eventually, automated by AI. A robotic conveyer belt could be trained to alert an operator when the conveyor motor is undergoing excessive energy draw due to improperly greased rollers, saving time and maintenance costs, for example.<\/p>\n<h2>Advancing Digital Twins<\/h2>\n<p>These innovations will reach not just from the cloud to the factory floor, but across industries, Busch and Huang explained.<\/p>\n<p>\u201cYou know, if you look at almost every engineering project today of any significant complexity, we simulate the product before we go to production,\u201d Huang said. \u201cAnd yet, for most plants and most factories, it\u2019s nearly impossible to do that today\u2026 and so we needed to create a very large-scale simulation platform \u2013 Omniverse.\u201d<\/p>\n<p>The addition of Siemens Xcelerator to the Omniverse ecosystem will enable domain-specific digital twins, using the rich design, manufacturing and operational data from Siemens\u2019 mechanical, electrical, software, IoT and edge solutions in Omniverse.<\/p>\n<p>\u201cThe world\u2019s industries represent hundreds of trillions of dollars over time,\u201d Huang said, adding that finding even small efficiencies in such huge systems is a huge opportunity. \u201cThat\u2019s one of the reasons why people want to invest and now we have the technology capability for them to do so.\u201d<\/p>\n<h2>BMW\u2019s iFACTORY<\/h2>\n<p>The two CEOs continued the fireside chat with BMW AG\u2019s Member of the Board of Management, Dr. Milan Nedeljkovi\u0107.<\/p>\n<p>Nedeljkovi\u0107 outlined the carmaker\u2019s initiative, dubbed iFACTORY, to make its factories \u201clean, green and digital.\u201d<\/p>\n<p>And he explained how BMW Group is working with both Siemens and NVIDIA to move this effort forward.<\/p>\n<p>\u201cBy the end of next year BMW will offer 13 fully electrified cars,\u201d he said. \u201cSo we are changing our equipment, we are changing our production environment, we are changing our processes, and all of that needs good planning, and, again, digitization is a part of it.\u201d<\/p>\n<p>Siemens and NVIDIA are continuing to help BMW with this digital transformation with the companies committing to collaborate to develop BMW\u2019s factory in Debrecen, Hungary.<\/p>\n<p>BMW is moving fast, planning to get the factory running by 2025. That means Siemens and NVIDIA, who will help BMW model the factory, will need to move fast, too.<\/p>\n<p>\u201cWe\u2019re going to make it happen,\u201d Huang said.<\/p>\n<p><em>Learn more about <\/em><a href=\"http:\/\/www.nvidia.com\/en-us\/omniverse\/digital-twins\/siemens\/\"><em>Siemens and NVIDIA\u2019s partnership<\/em><\/a><em>. <\/em><\/p>\n<p>\u00a0<\/p>\n<p>\u00a0<\/p>\n<p>\u00a0<\/p>\n<p>\u00a0<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>https:\/\/blogs.nvidia.com\/blog\/2022\/06\/29\/siemens-nvidia-industrial-metaverse\/<\/p>\n","protected":false},"author":0,"featured_media":2186,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[3],"tags":[],"_links":{"self":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/posts\/2185"}],"collection":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/comments?post=2185"}],"version-history":[{"count":0,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/posts\/2185\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/media\/2186"}],"wp:attachment":[{"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/media?parent=2185"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/categories?post=2185"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/salarydistribution.com\/machine-learning\/wp-json\/wp\/v2\/tags?post=2185"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}