{"id":92116,"date":"2024-11-19T05:30:00","date_gmt":"2024-11-19T13:30:00","guid":{"rendered":"https:\/\/round-lake.dustinice.workers.dev:443\/https\/developer.nvidia.com\/blog\/?p=92116"},"modified":"2025-10-20T13:57:12","modified_gmt":"2025-10-20T20:57:12","slug":"connect-real-time-iot-data-to-digital-twins-for-3d-remote-monitoring","status":"publish","type":"post","link":"https:\/\/round-lake.dustinice.workers.dev:443\/https\/developer.nvidia.com\/blog\/connect-real-time-iot-data-to-digital-twins-for-3d-remote-monitoring\/","title":{"rendered":"How to Connect Real-Time IoT Data to Digital Twins for 3D Remote Monitoring"},"content":{"rendered":"\n<p>As enterprises increasingly integrate AI into their industrial operations to deliver more automated and autonomous facilities, more operations teams are becoming centralized in remote operations centers. From these centers, these teams monitor, operate, and provide expert guidance to distributed production sites.&nbsp;<\/p>\n\n\n\n<p>A new generation of 3D remote monitoring solutions, powered by advancements in computer graphics, accelerated computing, and open standards like <a href=\"https:\/\/round-lake.dustinice.workers.dev:443\/https\/www.nvidia.com\/en-us\/omniverse\/usd\/?srsltid=AfmBOopS1Zsyy7OCkv7KiWNhYzJxpeIbnu3MpbtGarsXe8SmOo7okA7w\">Universal Scene Description (OpenUSD)<\/a>, are emerging to transform industrial operations by removing silos between IT and operational technology. This enables operations experts to quickly identify and solve problems, simulate operations at scale, and optimize production.<\/p>\n\n\n\n<p>3D remote monitoring solutions connect real-time IoT data to digital twins using computer graphics and AI, enabling operations teams to monitor, operate, and optimize distributed production sites from centralized locations.<\/p>\n\n\n\n<p>To help developers build advanced, AI-enabled 3D applications and workflows to support operations teams, NVIDIA and Microsoft Azure have developed a reference architecture, Microsoft <a href=\"https:\/\/round-lake.dustinice.workers.dev:443\/https\/jumpstart.azure.com\/azure_jumpstart_drops?drop=NVIDIA%20Omniverse%20Azure%20Operations%20Twin&amp;fs=true\"><a href=\"https:\/\/round-lake.dustinice.workers.dev:443\/https\/jumpstart.azure.com\/azure_jumpstart_drops?drop=NVIDIA%20Omniverse%20Azure%20Operations%20Twin&amp;fs=true\">Azure Arc Jumpstart<\/a><\/a> guide, and a public <a href=\"https:\/\/round-lake.dustinice.workers.dev:443\/https\/github.com\/microsoft\/NVIDIA-Omniverse-Azure-Operations-Twin\">GitHub repo<\/a>. These resources guide developers step by step in how to connect physically accurate 3D models of industrial systems and production environments to real-time data from Azure IoT Operations and Power BI reports.\u00a0<\/p>\n\n\n\n<h2 id=\"what_are_the_limitations_of_traditional_2d_monitoring\"  class=\"wp-block-heading\">What are the limitations of traditional 2D monitoring?<a href=\"#what_are_the_limitations_of_traditional_2d_monitoring\" class=\"heading-anchor-link\"><i class=\"fas fa-link\"><\/i><\/a><\/h2>\n\n\n\n<p>Traditional 2D dashboards make it challenging to contextualize operational data and complex relationships between factory equipment, while 3D digital twins provide deeper insights and accelerated decisions.<\/p>\n\n\n\n<h2 id=\"how_do_3d_digital_twins_improve_industrial_operations\"  class=\"wp-block-heading\">How do 3D digital twins improve industrial operations?<a href=\"#how_do_3d_digital_twins_improve_industrial_operations\" class=\"heading-anchor-link\"><i class=\"fas fa-link\"><\/i><\/a><\/h2>\n\n\n\n<p>With the advancements in computer graphics and generative AI, operations teams are embracing more interactive and intuitive tools, including physically accurate <a href=\"https:\/\/round-lake.dustinice.workers.dev:443\/https\/www.nvidia.com\/en-us\/glossary\/digital-twin\/\">3D digital twins<\/a> and simulation environments that provide deeper insights into systems and facilities, resulting in accelerated decisions and outcomes.<\/p>\n\n\n\n<h2 id=\"what_are_the_benefits_of_ai-enabled_3d_solutions\"  class=\"wp-block-heading\">What are the benefits of AI-enabled 3D solutions?<a href=\"#what_are_the_benefits_of_ai-enabled_3d_solutions\" class=\"heading-anchor-link\"><i class=\"fas fa-link\"><\/i><\/a><\/h2>\n\n\n\n<p>When these AI-enabled 3D solutions are connected to live data at the edge, they unlock many benefits for enterprises and remote monitoring teams, including:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Accelerated problem identification and decisions: <\/strong>By analyzing live production data alongside 3D visualizations, operators can quickly identify operational issues and inefficiencies in equipment, production lines, and processes and surface new opportunities for improving safety and sustainability.<\/li>\n\n\n\n<li><strong>Real-time collaboration:<\/strong> Regardless of where they are physically located, interdisciplinary teams can use shared 3D environments to collaborate in real time and gain access to new data and insights.<\/li>\n\n\n\n<li><strong>Simulation and scenario planning:<\/strong> Operators can use 3D environments and operational data to train and refine AI models, simulate the impact of various scenarios such as equipment failures, and test potential solutions and production changes before implementing them in the real world.<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-video aligncenter\"><video controls src=\"https:\/\/round-lake.dustinice.workers.dev:443\/https\/developer-blogs.nvidia.com\/wp-content\/uploads\/2024\/11\/ignite-iot.mp4\"><\/video><figcaption class=\"wp-element-caption\"><em>Video 1. <em><em>See how the integration of Azure IoT Operations, Power BI, and applications developed on NVIDIA Omniverse transforms industrial operations workflows<\/em><\/em><\/em><\/figcaption><\/figure>\n\n\n\n<h2 id=\"how_do_you_build_3d_remote_monitoring_applications\"  class=\"wp-block-heading\">How do you build 3D remote monitoring applications?<a href=\"#how_do_you_build_3d_remote_monitoring_applications\" class=\"heading-anchor-link\"><i class=\"fas fa-link\"><\/i><\/a><\/h2>\n\n\n\n<p>Developers can reference the <a href=\"https:\/\/round-lake.dustinice.workers.dev:443\/https\/jumpstart.azure.com\/azure_jumpstart_drops?drop=NVIDIA%20Omniverse%20Azure%20Operations%20Twin&amp;fs=true\">Azure Arc Jumpstart<\/a> guide and <a href=\"https:\/\/round-lake.dustinice.workers.dev:443\/https\/github.com\/microsoft\/NVIDIA-Omniverse-Azure-Operations-Twin\">GitHub repo<\/a><a href=\"https:\/\/round-lake.dustinice.workers.dev:443\/http\/microsoft\/NVIDIA-Omniverse-Azure-Operations-Twin\">sitory<\/a> to build 3D remote monitoring applications powered by Azure IoT Operations, Power BI, OpenUSD, and <a href=\"https:\/\/round-lake.dustinice.workers.dev:443\/https\/docs.omniverse.nvidia.com\/ovas\/latest\/index.html\">NVIDIA Omniverse Kit App Streaming<\/a>.<\/p>\n\n\n\n<h2 id=\"what_are_the_foundational_steps_for_3d_remote_monitoring_implementation\"  class=\"wp-block-heading\">What are the foundational steps for 3D remote monitoring implementation?<a href=\"#what_are_the_foundational_steps_for_3d_remote_monitoring_implementation\" class=\"heading-anchor-link\"><i class=\"fas fa-link\"><\/i><\/a><\/h2>\n\n\n\n<p>The <a href=\"https:\/\/round-lake.dustinice.workers.dev:443\/https\/jumpstart.azure.com\/azure_jumpstart_drops?drop=NVIDIA%20Omniverse%20Azure%20Operations%20Twin&amp;fs=true\">Azure Arc Jumpstart<\/a> guides developers through a series of foundational steps to build an end-to-end workflow for 3D remote monitoring, including:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>Azure IoT edge telemetry orchestration (plant floor, smart buildings)<\/li>\n\n\n\n<li>Telemetry data stream contextualization through Azure Data Explorer<\/li>\n\n\n\n<li>Digital models (USD assets) management in Azure BLOB storage<\/li>\n\n\n\n<li>Scene rendering and application streaming with <a href=\"https:\/\/round-lake.dustinice.workers.dev:443\/https\/catalog.ngc.nvidia.com\/orgs\/nvidia\/teams\/omniverse\/collections\/kit-appstreaming-collection\">Omniverse Kit App Streaming<\/a><\/li>\n\n\n\n<li>Interactive operations digital twin composed of embedded 3D viewport with Power BI reports and analytics&nbsp;<\/li>\n<\/ol>\n\n\n<div class=\"wp-block-image\">\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;69e064633cd71&quot;}\" data-wp-interactive=\"core\/image\" class=\"aligncenter size-full wp-lightbox-container\"><img loading=\"lazy\" decoding=\"async\" width=\"1859\" height=\"1044\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on-async--click=\"actions.showLightbox\" data-wp-on-async--load=\"callbacks.setButtonStyles\" data-wp-on-async-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/round-lake.dustinice.workers.dev:443\/https\/developer-blogs.nvidia.com\/wp-content\/uploads\/2024\/11\/reference-architecture-workflow-azure-jumpstart-guide-1.png\" alt=\"A diagram showcasing the reference architecture and workflow within the  Azure Arc Jumpstart guide. This diagram shows the process; Factory, Azure Event Hub, ISV Web App, Omniverse Backend, and finally OpenUSD Assets.\" class=\"wp-image-92233\" srcset=\"https:\/\/round-lake.dustinice.workers.dev:443\/https\/developer-blogs.nvidia.com\/wp-content\/uploads\/2024\/11\/reference-architecture-workflow-azure-jumpstart-guide-1.png 1859w, https:\/\/round-lake.dustinice.workers.dev:443\/https\/developer-blogs.nvidia.com\/wp-content\/uploads\/2024\/11\/reference-architecture-workflow-azure-jumpstart-guide-1-300x168.png 300w, https:\/\/round-lake.dustinice.workers.dev:443\/https\/developer-blogs.nvidia.com\/wp-content\/uploads\/2024\/11\/reference-architecture-workflow-azure-jumpstart-guide-1-625x351.png 625w, https:\/\/round-lake.dustinice.workers.dev:443\/https\/developer-blogs.nvidia.com\/wp-content\/uploads\/2024\/11\/reference-architecture-workflow-azure-jumpstart-guide-1-179x101.png 179w, https:\/\/round-lake.dustinice.workers.dev:443\/https\/developer-blogs.nvidia.com\/wp-content\/uploads\/2024\/11\/reference-architecture-workflow-azure-jumpstart-guide-1-768x431.png 768w, https:\/\/round-lake.dustinice.workers.dev:443\/https\/developer-blogs.nvidia.com\/wp-content\/uploads\/2024\/11\/reference-architecture-workflow-azure-jumpstart-guide-1-1536x863.png 1536w, https:\/\/round-lake.dustinice.workers.dev:443\/https\/developer-blogs.nvidia.com\/wp-content\/uploads\/2024\/11\/reference-architecture-workflow-azure-jumpstart-guide-1-645x362.png 645w, https:\/\/round-lake.dustinice.workers.dev:443\/https\/developer-blogs.nvidia.com\/wp-content\/uploads\/2024\/11\/reference-architecture-workflow-azure-jumpstart-guide-1-660x370.png 660w, https:\/\/round-lake.dustinice.workers.dev:443\/https\/developer-blogs.nvidia.com\/wp-content\/uploads\/2024\/11\/reference-architecture-workflow-azure-jumpstart-guide-1-500x281.png 500w, https:\/\/round-lake.dustinice.workers.dev:443\/https\/developer-blogs.nvidia.com\/wp-content\/uploads\/2024\/11\/reference-architecture-workflow-azure-jumpstart-guide-1-160x90.png 160w, https:\/\/round-lake.dustinice.workers.dev:443\/https\/developer-blogs.nvidia.com\/wp-content\/uploads\/2024\/11\/reference-architecture-workflow-azure-jumpstart-guide-1-362x203.png 362w, https:\/\/round-lake.dustinice.workers.dev:443\/https\/developer-blogs.nvidia.com\/wp-content\/uploads\/2024\/11\/reference-architecture-workflow-azure-jumpstart-guide-1-196x110.png 196w, https:\/\/round-lake.dustinice.workers.dev:443\/https\/developer-blogs.nvidia.com\/wp-content\/uploads\/2024\/11\/reference-architecture-workflow-azure-jumpstart-guide-1-1024x575.png 1024w, https:\/\/round-lake.dustinice.workers.dev:443\/https\/developer-blogs.nvidia.com\/wp-content\/uploads\/2024\/11\/reference-architecture-workflow-azure-jumpstart-guide-1-960x540.png 960w\" sizes=\"auto, (max-width: 1859px) 100vw, 1859px\" \/><button\n\t\t\tclass=\"lightbox-trigger\"\n\t\t\ttype=\"button\"\n\t\t\taria-haspopup=\"dialog\"\n\t\t\taria-label=\"Enlarge\"\n\t\t\tdata-wp-init=\"callbacks.initTriggerButton\"\n\t\t\tdata-wp-on-async--click=\"actions.showLightbox\"\n\t\t\tdata-wp-style--right=\"state.imageButtonRight\"\n\t\t\tdata-wp-style--top=\"state.imageButtonTop\"\n\t\t>\n\t\t\t<svg xmlns=\"https:\/\/round-lake.dustinice.workers.dev:443\/http\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewBox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\" \/>\n\t\t\t<\/svg>\n\t\t<\/button><figcaption class=\"wp-element-caption\"><em><em><em>Figure 1. Reference architecture and workflow within the Azure Arc Jumpstart guide<\/em><\/em><\/em><\/figcaption><\/figure><\/div>\n\n\n<h2 id=\"how_does_the_reference_workflow_integrate_iot_data_with_power_bi\"  class=\"wp-block-heading\">How does the reference workflow integrate IoT data with Power BI?<a href=\"#how_does_the_reference_workflow_integrate_iot_data_with_power_bi\" class=\"heading-anchor-link\"><i class=\"fas fa-link\"><\/i><\/a><\/h2>\n\n\n\n<p>The reference workflow and <a href=\"https:\/\/round-lake.dustinice.workers.dev:443\/https\/jumpstart.azure.com\/azure_jumpstart_drops?drop=NVIDIA%20Omniverse%20Azure%20Operations%20Twin&amp;fs=true\">Azure Arc Jumpstart<\/a> guide demonstrate how dynamic IoT data from the factory floor can be used to update a Power BI report that is integrated with an OpenUSD-based application developed on the <a href=\"https:\/\/round-lake.dustinice.workers.dev:443\/https\/www.nvidia.com\/en-us\/omniverse\/\">NVIDIA Omniverse<\/a> platform.<\/p>\n\n\n\n<p>Using the guide, developers learn how to connect IoT data to the Power Platform and how to build a web application embedding an Omniverse powered 3D viewport and Power BI visuals. This enables you to build an end user experience that provides real-time production data in the context of a physically accurate 3D visualization.<\/p>\n\n\n\n<p>The guide details deployment of Kit-based applications via Omniverse Kit App Streaming on the Azure Kubernetes Service (AKS), enabling horizontal scaling of NVIDIA RTX GPU-accelerated compute resources to remote operators.&nbsp;<\/p>\n\n\n\n<p>You\u2019re encouraged to customize the reference web application and the embedded 3D viewport for your desired use cases and workflows.<\/p>\n\n\n\n<h2 id=\"how_to_get_started_with_3d_remote_monitoring_development\"  class=\"wp-block-heading\">How to get started with 3D remote monitoring development<a href=\"#how_to_get_started_with_3d_remote_monitoring_development\" class=\"heading-anchor-link\"><i class=\"fas fa-link\"><\/i><\/a><\/h2>\n\n\n\n<p>To begin developing applications and workflows with Microsoft Azure IoT Operations and NVIDIA Omniverse for industrial operations, use these resources:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Download the Azure Arc Jumpstart guide<\/strong>: Visit the <a href=\"https:\/\/round-lake.dustinice.workers.dev:443\/https\/jumpstart.azure.com\/azure_jumpstart_drops?drop=NVIDIA%20Omniverse%20Azure%20Operations%20Twin&amp;fs=true\">Azure Arc Jumpstart<\/a> page, where the 3D remote monitoring guide will launch soon.<\/li>\n\n\n\n<li><strong>Explore the GitHub<\/strong>: Access the <a href=\"https:\/\/round-lake.dustinice.workers.dev:443\/https\/github.com\/microsoft\/NVIDIA-Omniverse-Azure-Operations-Twin\">microsoft\/NVIDIA-Omniverse-Azure-Operations-Twin<\/a> GitHub repo to start building 3D remote monitoring applications.<\/li>\n\n\n\n<li><strong>Review Omniverse Kit App Streaming documentation:<\/strong> Learn how to utilize Omniverse Kit App Streaming with the <a href=\"https:\/\/round-lake.dustinice.workers.dev:443\/https\/docs.omniverse.nvidia.com\/ovas\/latest\/index.html\">official documentation<\/a>.<\/li>\n\n\n\n<li><strong>Watch the community livestream<\/strong>: See how NVIDIA Omniverse and Microsoft Azure enable the creation of scalable industrial digital twins with real-time data by watching the <a href=\"https:\/\/round-lake.dustinice.workers.dev:443\/https\/www.youtube.com\/live\/CbZ9W7bm-pE?feature=shared\">Omniverse Community livestream<\/a>.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>As enterprises increasingly integrate AI into their industrial operations to deliver more automated and autonomous facilities, more operations teams are becoming centralized in remote operations centers. From these centers, these teams monitor, operate, and provide expert guidance to distributed production sites.&nbsp; A new generation of 3D remote monitoring solutions, powered by advancements in computer graphics, &hellip; <a href=\"https:\/\/round-lake.dustinice.workers.dev:443\/https\/developer.nvidia.com\/blog\/connect-real-time-iot-data-to-digital-twins-for-3d-remote-monitoring\/\">Continued<\/a><\/p>\n","protected":false},"author":2067,"featured_media":92383,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"publish_to_discourse":"","publish_post_category":"318","wpdc_auto_publish_overridden":"1","wpdc_topic_tags":"","wpdc_pin_topic":"","wpdc_pin_until":"","discourse_post_id":"1522911","discourse_permalink":"https:\/\/round-lake.dustinice.workers.dev:443\/https\/forums.developer.nvidia.com\/t\/connect-real-time-iot-data-to-digital-twins-for-3d-remote-monitoring\/313930","wpdc_publishing_response":"success","wpdc_publishing_error":"","nv_subtitle":"","ai_post_summary":"<ul><li>The integration of AI into industrial operations is leading to more centralized remote operations centers, where teams monitor and operate distributed production sites using advanced 3D remote monitoring solutions powered by NVIDIA and open standards like Universal Scene Description (OpenUSD).<\/li><li>These 3D solutions, connected to live data at the edge, enable accelerated problem identification and decisions, real-time collaboration among interdisciplinary teams, and simulation and scenario planning to improve safety, sustainability, and production.<\/li><li>Developers can reference the Microsoft Azure Arc Jumpstart guide and NVIDIA&#039;s GitHub repo to build 3D remote monitoring applications and workflows that integrate Azure IoT Operations, Power BI, and NVIDIA Omniverse.<\/li><\/ul>","footnotes":"","_links_to":"","_links_to_target":""},"categories":[503],"tags":[2375,2551,1409,3700],"coauthors":[3780,4201,4202],"class_list":["post-92116","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-simulation-modeling-design","tag-industrial-digitalization-digital-twin","tag-internet-of-things-iot","tag-omniverse","tag-openusd","tagify_workload-graphics","tagify_workload-data-science","tagify_workload-edge-computing","tagify_workload-simulation-modeling-design"],"acf":{"post_industry":["Manufacturing"],"post_products":["Omniverse"],"post_learning_levels":["General Interest","Beginner Technical"],"post_content_types":["News"],"post_collections":""},"jetpack_featured_media_url":"https:\/\/round-lake.dustinice.workers.dev:443\/https\/developer-blogs.nvidia.com\/wp-content\/uploads\/2024\/11\/ov-social-ignite-iot-tech-blog-1600x900-1.png","primary_category":{"category":"Simulation \/ Modeling \/ 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