{"id":27666,"date":"2025-08-12T18:03:40","date_gmt":"2025-08-13T01:03:40","guid":{"rendered":"https:\/\/tdengine.com\/?p=27666"},"modified":"2025-11-03T08:14:14","modified_gmt":"2025-11-03T16:14:14","slug":"enabling-industrial-ai-how-siemens-and-ait-leverage-tdengine-and-ontop-to-help-tcg-unitech-boost-productivity-and-efficiency","status":"publish","type":"post","link":"https:\/\/tdengine.com\/enabling-industrial-ai-how-siemens-and-ait-leverage-tdengine-and-ontop-to-help-tcg-unitech-boost-productivity-and-efficiency\/","title":{"rendered":"Enabling Industrial AI: How Siemens and AIT Leverage TDengine and Ontop to Help TCG UNITECH Boost Productivity and Efficiency"},"content":{"rendered":"\n<style>\n.quote-prof {\nshape-outside: inset(calc(100% - 80px) 0 0);\n}\n.wp-block-quote {\nmargin: 0\n}\n<\/style>\n\n\n\n<div class=\"gb-element-35e0227b\">\n<a href=\"https:\/\/www.siemens.com\/at\/de.html\" rel=\"noopener\"><img decoding=\"async\" class=\"gb-media-cb40cefd\" alt=\"\" src=\"https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/siemens-71.svg\" title=\"siemens-71\"\/><\/a>\n\n\n\n<a href=\"https:\/\/www.ait.ac.at\/en\/\" rel=\"noopener\"><img decoding=\"async\" class=\"gb-media-00160abd\" alt=\"\" src=\"https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/ait-logo-footer.svg\" title=\"ait-logo-footer\"\/><\/a>\n\n\n\n<a href=\"https:\/\/www.tcgunitech.com\/en\/\" rel=\"noopener\"><img decoding=\"async\" width=\"450\" height=\"110\" class=\"gb-media-718d6922\" alt=\"\" src=\"https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/TCG_Logo@2x.png?strip=all&sharp=1\" title=\"TCG_Logo@2x\" srcset=\"https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/TCG_Logo@2x.png?strip=all&amp;sharp=1 450w, https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/TCG_Logo@2x.png?strip=all&amp;sharp=1&amp;w=300 300w, https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/TCG_Logo@2x.png?strip=all&amp;sharp=1&amp;w=90 90w, https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/TCG_Logo@2x.png?strip=all&amp;sharp=1&amp;w=180 180w, https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/TCG_Logo@2x.png?strip=all&amp;sharp=1&amp;w=360 360w\" sizes=\"(max-width: 450px) 100vw, 450px\" \/><\/a>\n\n\n\n<a href=\"https:\/\/tdengine.com\"><img decoding=\"async\" width=\"488\" height=\"83\" class=\"gb-media-76637e7d\" alt=\"\" src=\"https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/tdengine-logo.png?strip=all&sharp=1\" title=\"tdengine-logo\" srcset=\"https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/tdengine-logo.png?strip=all&amp;sharp=1 488w, https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/tdengine-logo-300x51.png?strip=all&amp;sharp=1 300w, https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/tdengine-logo.png?strip=all&amp;sharp=1&amp;w=97 97w, https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/tdengine-logo.png?strip=all&amp;sharp=1&amp;w=195 195w, https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/tdengine-logo.png?strip=all&amp;sharp=1&amp;w=390 390w\" sizes=\"(max-width: 488px) 100vw, 488px\" \/><\/a>\n\n\n\n<a href=\"https:\/\/ontopic.ai\/en\/\" rel=\"noopener\"><img decoding=\"async\" class=\"gb-media-ecc19b01\" alt=\"\" src=\"https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/Lungo01.svg\" title=\"Lungo01\"\/><\/a>\n<\/div>\n\n\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_81 counter-hierarchy ez-toc-counter ez-toc-custom ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #141414;color:#141414\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #141414;color:#141414\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/tdengine.com\/enabling-industrial-ai-how-siemens-and-ait-leverage-tdengine-and-ontop-to-help-tcg-unitech-boost-productivity-and-efficiency\/#Motivation_Manual_Inspections_Knowledge_Silos_and_Traceability_Gaps\">Motivation: Manual Inspections, Knowledge Silos, and Traceability Gaps<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/tdengine.com\/enabling-industrial-ai-how-siemens-and-ait-leverage-tdengine-and-ontop-to-help-tcg-unitech-boost-productivity-and-efficiency\/#The_Solution_A_Semantically_Integrated_Industrial_AI_Platform\">The Solution: A Semantically Integrated Industrial AI Platform<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/tdengine.com\/enabling-industrial-ai-how-siemens-and-ait-leverage-tdengine-and-ontop-to-help-tcg-unitech-boost-productivity-and-efficiency\/#Introducing_the_Technology_Stack\">Introducing the Technology Stack<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/tdengine.com\/enabling-industrial-ai-how-siemens-and-ait-leverage-tdengine-and-ontop-to-help-tcg-unitech-boost-productivity-and-efficiency\/#What_Is_Semantic_Integration_%E2%80%94_and_Why_It_Matters\">What Is Semantic Integration &#8212; and Why It Matters<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/tdengine.com\/enabling-industrial-ai-how-siemens-and-ait-leverage-tdengine-and-ontop-to-help-tcg-unitech-boost-productivity-and-efficiency\/#Real-World_Impact_Concrete_Examples_from_the_Factory\">Real-World Impact: Concrete Examples from the Factory<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/tdengine.com\/enabling-industrial-ai-how-siemens-and-ait-leverage-tdengine-and-ontop-to-help-tcg-unitech-boost-productivity-and-efficiency\/#Why_TDengine_was_Chosen_as_the_Time-Series_Database\">Why TDengine was Chosen as the Time-Series Database<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/tdengine.com\/enabling-industrial-ai-how-siemens-and-ait-leverage-tdengine-and-ontop-to-help-tcg-unitech-boost-productivity-and-efficiency\/#Value_Delivered_by_Industrial_AI\">Value Delivered by Industrial AI<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/tdengine.com\/enabling-industrial-ai-how-siemens-and-ait-leverage-tdengine-and-ontop-to-help-tcg-unitech-boost-productivity-and-efficiency\/#Looking_Ahead\">Looking Ahead<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/tdengine.com\/enabling-industrial-ai-how-siemens-and-ait-leverage-tdengine-and-ontop-to-help-tcg-unitech-boost-productivity-and-efficiency\/#Conclusion_A_Blueprint_for_Semantic-Driven_Industrial_AI\">Conclusion: A Blueprint for Semantic-Driven Industrial AI<\/a><\/li><\/ul><\/nav><\/div>\n\n\n\n\n<p>In modern manufacturing, producing high-quality components at scale isn&#8217;t just a matter of precision &#8212; it&#8217;s a matter of resilience and foresight. A single faulty engine part can trigger massive recalls, customer dissatisfaction, and regulatory penalties. For <a href=\"https:\/\/www.tcgunitech.com\/en\/\" rel=\"noopener\"><strong>TCG UNITECH<\/strong><\/a>, a leading Tier 1 automotive supplier in Austria, the challenge was clear: how do you ensure consistent, defect-free production across 33 die casting machines, while reducing downtime and empowering a new generation of operators?<\/p>\n\n\n\n<p>To address this, <strong>Siemens AG \u00d6sterreich<\/strong> and the <strong>Austrian Institute of Technology (AIT)<\/strong> collaborated on a research initiative &#8212; <a href=\"https:\/\/projekte.ffg.at\/projekt\/4641766\" rel=\"noopener\"><strong>DG Assist<\/strong><\/a> &#8212; to build an integrated <strong>Industrial AI<\/strong> platform. By combining their domain expertise with <strong><a href=\"https:\/\/tdengine.com\">TDengine<\/a><\/strong> and <strong>Ontop<\/strong>, the team delivered a unified solution for data- and knowledge-driven process monitoring and decision-making.<\/p>\n\n\n\n<figure class=\"gb-element-bd91fed9\">\n<img decoding=\"async\" width=\"868\" height=\"483\" class=\"gb-media-89379183\" alt=\"\" src=\"https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/siemens-01.jpg?strip=all&sharp=1\" title=\"siemens-01\" srcset=\"https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/siemens-01.jpg?strip=all&amp;sharp=1 868w, https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/siemens-01-300x167.jpg?strip=all&amp;sharp=1 300w, https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/siemens-01-768x427.jpg?strip=all&amp;sharp=1 768w, https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/siemens-01.jpg?strip=all&amp;sharp=1&amp;w=173 173w, https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/siemens-01.jpg?strip=all&amp;sharp=1&amp;w=520 520w, https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/siemens-01.jpg?strip=all&amp;sharp=1&amp;w=694 694w, https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/siemens-01.jpg?strip=all&amp;sharp=1&amp;w=450 450w\" sizes=\"(max-width: 868px) 100vw, 868px\" \/>\n\n\n\n<figcaption class=\"gb-text\">Advanced Die Casting Cell from TCG UNITECH includes over 1100 signals<\/figcaption>\n<\/figure>\n\n\n\n<h2 class=\"gb-text\"><span class=\"ez-toc-section\" id=\"Motivation_Manual_Inspections_Knowledge_Silos_and_Traceability_Gaps\"><\/span>Motivation: Manual Inspections, Knowledge Silos, and Traceability Gaps<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>TCG UNITECH\u2019s operations rely on aluminum high-pressure die-casting &#8212; a process where molten metal is injected into molds at high speed and high pressure, completing in less than five seconds. Each part may go on to become a housing for an electric gearbox in a BMW&nbsp;or other vehicle.<\/p>\n\n\n\n<p>Before this project:<\/p>\n\n\n\n<ul>\n<li>\n<p class=\"gb-text gb-text-682b443e\">Workers inspected parts visually and logged defects on paper.<\/p>\n<\/li>\n\n\n\n<li>\n<p class=\"gb-text gb-text-e8e53cf9\">Expert knowledge was concentrated in a few individuals, unavailable during off-hours.<\/p>\n<\/li>\n\n\n\n<li>\n<p class=\"gb-text gb-text-4cc4f691\">If a defect reached the customer, engineers had to search across a variety of different systems to reconstruct what happened.<\/p>\n<\/li>\n\n\n\n<li>\n<p class=\"gb-text gb-text-4aaf2f64\">The <strong>potential cost of failure<\/strong> was significant: undetected issues could lead to returned production batches, warranty claims, or even recall actions &#8212; posing risks to quality reputation and customer trust.<\/p>\n<\/li>\n<\/ul>\n\n\n\n<div class=\"gb-element-22d023b0\">\n<blockquote class=\"wp-block-quote is-style-default is-layout-flow wp-block-quote-is-layout-flow\">\n<div class=\"gb-element-3d0e4ec6 quote-prof\">\n<div class=\"gb-element-31daf20b\">\n<div class=\"gb-element-226ef53e\">\n<p class=\"gb-text gb-text-16dea7af\"><strong>David Gruber<\/strong><\/p>\n\n\n\n<p class=\"gb-text gb-text-9454c3c6\">Research Engineer, AIT<\/p>\n<\/div>\n\n\n\n<img decoding=\"async\" width=\"640\" height=\"856\" class=\"gb-media-4ed8582b\" alt=\"\" src=\"https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/gruber_1463_2.jpg?strip=all&sharp=1\" title=\"gruber_1463_2\" srcset=\"https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/gruber_1463_2.jpg?strip=all&amp;sharp=1 640w, https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/gruber_1463_2-224x300.jpg?strip=all&amp;sharp=1 224w, https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/gruber_1463_2.jpg?strip=all&amp;sharp=1&amp;w=128 128w, https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/gruber_1463_2.jpg?strip=all&amp;sharp=1&amp;w=384 384w, https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/gruber_1463_2.jpg?strip=all&amp;sharp=1&amp;w=512 512w, https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/gruber_1463_2.jpg?strip=all&amp;sharp=1&amp;w=450 450w\" sizes=\"(max-width: 640px) 100vw, 640px\" \/>\n<\/div>\n<\/div>\n\n\n\n<p>If a defect goes out and something happens in the car, it&#8217;s not just one part &#8212; it&#8217;s the entire batch. The cost is massive &#8212; returns, recalls, and production delays can all result from a single oversight.<\/p>\n<\/blockquote>\n<\/div>\n\n\n\n<figure class=\"gb-element-b57bb47c\">\n<a href=\"https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/siemens-02-3.jpg?strip=all&sharp=1&w=2560\"><img decoding=\"async\" width=\"1920\" height=\"769\" class=\"gb-media-a5ab185d\" alt=\"\" src=\"https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/siemens-02-3.jpg?strip=all&sharp=1\" title=\"siemens-02\" srcset=\"https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/siemens-02-3.jpg?strip=all&amp;sharp=1 1920w, https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/siemens-02-3-300x120.jpg?strip=all&amp;sharp=1 300w, https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/siemens-02-3-1024x410.jpg?strip=all&amp;sharp=1 1024w, https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/siemens-02-3-768x308.jpg?strip=all&amp;sharp=1 768w, https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/siemens-02-3-1536x615.jpg?strip=all&amp;sharp=1 1536w, https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/siemens-02-3.jpg?strip=all&amp;sharp=1&amp;w=384 384w, https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/siemens-02-3.jpg?strip=all&amp;sharp=1&amp;w=1152 1152w, https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/siemens-02-3.jpg?strip=all&amp;sharp=1&amp;w=450 450w\" sizes=\"(max-width: 1200px) 100vw, 1200px\" \/><\/a>\n\n\n\n<figcaption class=\"gb-text\">Human-centric Assistance System<\/figcaption>\n<\/figure>\n\n\n\n<h2 class=\"gb-text\"><span class=\"ez-toc-section\" id=\"The_Solution_A_Semantically_Integrated_Industrial_AI_Platform\"><\/span>The Solution: A Semantically Integrated Industrial AI Platform<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>To overcome these challenges, Siemens and AIT designed a <strong>semantically integrated platform<\/strong> &#8212; a system that connects machine data, structured records, and domain knowledge into a unified model that enables advanced querying, monitoring, and AI-driven recommendations.<\/p>\n\n\n\n<h3 class=\"gb-text\"><span class=\"ez-toc-section\" id=\"Introducing_the_Technology_Stack\"><\/span>Introducing the Technology Stack<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<figure class=\"gb-element-a7c97c46\">\n<a href=\"https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/siemens-arch-new.png?strip=all&sharp=1&w=2560\"><img decoding=\"async\" width=\"1920\" height=\"682\" class=\"gb-media-cf87a265\" alt=\"\" src=\"https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/siemens-arch-new.png?strip=all&sharp=1\" title=\"siemens-arch-new\" srcset=\"https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/siemens-arch-new.png?strip=all&amp;sharp=1 1920w, https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/siemens-arch-new-300x107.png?strip=all&amp;sharp=1 300w, https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/siemens-arch-new-1024x364.png?strip=all&amp;sharp=1 1024w, https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/siemens-arch-new-768x273.png?strip=all&amp;sharp=1 768w, https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/siemens-arch-new-1536x546.png?strip=all&amp;sharp=1 1536w, https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/siemens-arch-new.png?strip=all&amp;sharp=1&amp;w=384 384w, https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/siemens-arch-new.png?strip=all&amp;sharp=1&amp;w=1152 1152w, https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/siemens-arch-new.png?strip=all&amp;sharp=1&amp;w=450 450w\" sizes=\"(max-width: 1200px) 100vw, 1200px\" \/><\/a>\n\n\n\n<figcaption class=\"gb-text\">The Technology Stack for the DG Assist Industrial AI Platform<\/figcaption>\n<\/figure>\n\n\n\n<p>At the heart of the DG Assist solution is a layered architecture that brings together data collection, semantic modeling, and expert-guided analytics:<\/p>\n\n\n\n<ul>\n<li>\n<p><strong>TDengine<\/strong> serves as the time-series backbone, capturing over <strong>1,100 signals per machine<\/strong> at speeds up to <strong>2.5 kHz<\/strong>. It stores both high-frequency batch data and continuous streams with minimal storage overhead and high compression efficiency.<\/p>\n<\/li>\n\n\n\n<li>\n<p><strong>PostgreSQL<\/strong> holds structured production data, including part metadata, inspection results, material IDs, shift assignments, and tool configurations\u2014critical for contextualizing sensor readings.<\/p>\n<\/li>\n\n\n\n<li>\n<p><strong>Ontop<\/strong> enables <strong>virtualization<\/strong> of TDengine and PostgreSQL databases as part of a <strong>dynamic knowledge graph<\/strong>. This allows users to interact with distributed data via SPARQL queries as if it were a single source\u2014without duplicating data.<\/p>\n<\/li>\n\n\n\n<li>\n<p>In parallel, a <strong>static knowledge graph<\/strong> captures expert knowledge using AIT- and Siemens-developed ontologies, stored in an RDF triple store and accessed through standard semantic web technologies.<\/p>\n<\/li>\n\n\n\n<li>\n<p><strong>Custom middleware<\/strong>, developed by AIT, standardizes timestamps, transforms source data into a unified format, and ensures consistency between the databases. It acts as the interface layer for OPC UA, REST-APIs, and binary data logs, and handles all the ETL logic needed for seamless ingestion.<\/p>\n<\/li>\n<\/ul>\n\n\n\n<p>This integrated stack enables use cases like:<\/p>\n\n\n\n<ul>\n<li>\n<p class=\"gb-text gb-text-bacde7ba\">Real-time anomaly detection based on data directly from the machine, e.g., pressure and piston velocity profiles<\/p>\n<\/li>\n\n\n\n<li>\n<p class=\"gb-text gb-text-663ed403\">Automated traceability from part ID to full process history<\/p>\n<\/li>\n\n\n\n<li>\n<p class=\"gb-text gb-text-bc83cf71\">Operator assistance systems powered by hybrid AI and semantic rules<\/p>\n<\/li>\n\n\n\n<li>\n<p class=\"gb-text gb-text-7ec79197\">Long-term knowledge retention via expert-encoded graph structures<\/p>\n<\/li>\n<\/ul>\n\n\n\n<div class=\"gb-element-5f034ad5\">\n<blockquote class=\"wp-block-quote is-style-default is-layout-flow wp-block-quote-is-layout-flow\">\n<div class=\"gb-element-812c11a4 quote-prof\">\n<div class=\"gb-element-77c4afb0\">\n<div class=\"gb-element-b653d758\">\n<p class=\"gb-text gb-text-ceb21e39\"><strong><strong>Klaus Neubauer<\/strong><\/strong><\/p>\n\n\n\n<p class=\"gb-text gb-text-371ead03\">Senior Process Engineer, TCG Unitech<\/p>\n<\/div>\n\n\n\n<img decoding=\"async\" width=\"189\" height=\"190\" class=\"gb-media-0c0f714a\" alt=\"\" src=\"https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/siemens-prof3.png?strip=all&sharp=1\" title=\"siemens-prof3\" srcset=\"https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/siemens-prof3.png?strip=all&amp;sharp=1 189w, https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/siemens-prof3-150x150.png?strip=all&amp;sharp=1 150w, https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/siemens-prof3.png?strip=all&amp;sharp=1&amp;w=75 75w\" sizes=\"(max-width: 189px) 100vw, 189px\" \/>\n<\/div>\n<\/div>\n\n\n\n<p>Reliable data is essential for comprehensive root cause analysis of equipment failures, reducing scrap, and driving optimizations &#8212; something we&#8217;ve never had before. By adding self-learning AI, we can uncover multifactor interactions that humans alone would miss. This project fully enables the proactive response we need.<\/p>\n<\/blockquote>\n<\/div>\n\n\n\n<h2 class=\"gb-text\"><span class=\"ez-toc-section\" id=\"What_Is_Semantic_Integration_%E2%80%94_and_Why_It_Matters\"><\/span>What Is Semantic Integration &#8212; and Why It Matters<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p><strong>Semantic integration<\/strong> goes beyond connecting databases &#8212; it connects meanings. It models the relationships between machines, sensors, parts, processes, and defects in a way that both humans and AI systems can understand.<\/p>\n\n\n\n<p>This enables:<\/p>\n\n\n\n<ul>\n<li>\n<p>Linking <strong>sensor data<\/strong> (e.g. pressure curve) to <strong>process steps<\/strong> (e.g. injection phase) and then to <strong>product outcomes<\/strong> (e.g. short shot defect)<\/p>\n<\/li>\n\n\n\n<li>\n<p>Embedding <strong>expert knowledge<\/strong> as queryable rules (e.g. &#8220;if velocity is low + pressure is high \u2192 check for blockage&#8221;)<\/p>\n<\/li>\n\n\n\n<li>\n<p>Providing <strong>cross-system traceability<\/strong> &#8212; without copying data or building complex ETL pipelines<\/p>\n<\/li>\n\n\n\n<li>\n<p>Ensuring <strong>interoperability<\/strong> across vendor systems by abstracting data semantics from proprietary formats<\/p>\n<\/li>\n<\/ul>\n\n\n\n<p>Knowledge graphs also lay the foundation for <strong>explainable AI<\/strong> in manufacturing. By explicitly modeling causality and expert logic, these systems help engineers understand how conclusions are reached &#8212; which is crucial for adoption and trust.<\/p>\n\n\n\n<div class=\"gb-element-75144c52\">\n<blockquote class=\"wp-block-quote is-style-default is-layout-flow wp-block-quote-is-layout-flow\">\n<div class=\"gb-element-e39ff019 quote-prof\">\n<div class=\"gb-element-c68f793a\">\n<div class=\"gb-element-a48d9622\">\n<p class=\"gb-text gb-text-83a442a9\"><strong><strong>Stefan Bischof<\/strong><\/strong><\/p>\n\n\n\n<p class=\"gb-text gb-text-fc138629\">Senior Research Scientist, Siemens<\/p>\n<\/div>\n\n\n\n<img decoding=\"async\" width=\"680\" height=\"866\" class=\"gb-media-84ef9db8\" alt=\"\" src=\"https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/bischofgr.jpg?strip=all&sharp=1\" title=\"bischofgr\" srcset=\"https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/bischofgr.jpg?strip=all&amp;sharp=1 680w, https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/bischofgr-236x300.jpg?strip=all&amp;sharp=1 236w, https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/bischofgr.jpg?strip=all&amp;sharp=1&amp;w=136 136w, https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/bischofgr.jpg?strip=all&amp;sharp=1&amp;w=408 408w, https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/bischofgr.jpg?strip=all&amp;sharp=1&amp;w=544 544w\" sizes=\"(max-width: 680px) 100vw, 680px\" \/>\n<\/div>\n<\/div>\n\n\n\n<p>By combining TDengine&#8217;s scalable time-series engine with Ontopic&#8217;s semantic integration, we&#8217;ve created a unified view of machine operations and domain knowledge that is both high-performance and explainable. This semantic approach lets us ask cross-domain questions and combine expert logic with real-time data &#8212; without building fragile custom pipelines.<\/p>\n<\/blockquote>\n<\/div>\n\n\n\n<h2 class=\"gb-text\"><span class=\"ez-toc-section\" id=\"Real-World_Impact_Concrete_Examples_from_the_Factory\"><\/span>Real-World Impact: Concrete Examples from the Factory<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<ol>\n<li>\n<p><strong>Pressure Curve Anomaly and Leak Detection<\/strong><\/p>\n\n\n\n<p>Operators used a time-series dashboard powered by TDengine to visualize cavity pressure during the injection process. An unexpected increase in pressure revealed a leak in the system, later confirmed to be caused by a worn valve.<\/p>\n\n\n\n<div class=\"gb-element-7a63c26f\">\n<blockquote class=\"wp-block-quote is-style-default is-layout-flow wp-block-quote-is-layout-flow\">\n<div class=\"gb-element-a9b9e61f quote-prof\">\n<div class=\"gb-element-bf48e760\">\n<div class=\"gb-element-127470ca\">\n<p class=\"gb-text gb-text-3a782c1b\"><strong><strong>Stephan Strommer<\/strong><\/strong><\/p>\n\n\n\n<p class=\"gb-text gb-text-89e058a9\">Project Manager &amp;<br>Senior Research Engineer, AIT<\/p>\n<\/div>\n\n\n\n<img decoding=\"async\" width=\"703\" height=\"901\" class=\"gb-media-4cf64bc7\" alt=\"\" src=\"https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/Portrait_20211025.jpg?strip=all&sharp=1\" title=\"Portrait_20211025\" srcset=\"https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/Portrait_20211025.jpg?strip=all&amp;sharp=1 703w, https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/Portrait_20211025-234x300.jpg?strip=all&amp;sharp=1 234w, https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/Portrait_20211025.jpg?strip=all&amp;sharp=1&amp;w=140 140w, https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/Portrait_20211025.jpg?strip=all&amp;sharp=1&amp;w=421 421w, https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/Portrait_20211025.jpg?strip=all&amp;sharp=1&amp;w=562 562w\" sizes=\"(max-width: 703px) 100vw, 703px\" \/>\n<\/div>\n<\/div>\n\n\n\n<p>We saw the difference in pressure between cycles and the operator said, &#8220;Our system is defective, we have a leak.&#8221;<\/p>\n<\/blockquote>\n<\/div>\n<\/li>\n\n\n\n<li>\n<p><strong>Knowledge-Based Root Cause Tracing and Explainable QA<\/strong><\/p>\n\n\n\n<p>Siemens and AIT&#8217;s knowledge graph mapped over 20 known product defects to root causes. For example, a cold shot could be linked to low piston velocity. The system uses SPARQL queries to trace such issues to their potential machine parameters and recommend countermeasures &#8212; especially when senior engineers aren&#8217;t available.<\/p>\n\n\n\n<div class=\"gb-element-28bfa80a\">\n<blockquote class=\"wp-block-quote is-style-default is-layout-flow wp-block-quote-is-layout-flow\">\n<div class=\"gb-element-61e68654 quote-prof\">\n<div class=\"gb-element-f8307eb2\">\n<div class=\"gb-element-bc708088\">\n<p class=\"gb-text gb-text-8dd019c8\"><strong><strong>Herbert Kerbl<\/strong><\/strong><\/p>\n\n\n\n<p class=\"gb-text gb-text-9b645bdc\">Quality Expert in Product &amp;<br>Process Management, TCG UNITECH<\/p>\n<\/div>\n\n\n\n<img decoding=\"async\" width=\"186\" height=\"182\" class=\"gb-media-3b690949\" alt=\"\" src=\"https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/siemens-prof1.png?strip=all&sharp=1\" title=\"siemens-prof1\" srcset=\"https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/siemens-prof1.png?strip=all&amp;sharp=1 186w, https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/siemens-prof1.png?strip=all&amp;sharp=1&amp;w=74 74w\" sizes=\"(max-width: 186px) 100vw, 186px\" \/>\n<\/div>\n<\/div>\n\n\n\n<p>Previously, connecting inspection results with real-time machine data required manual effort, and oftentimes gut feeling. Now, we can correlate sensor trends, production events, and expert-defined failure modes in one integrated view. It\u2019s a major step forward in structured, explainable quality control.<\/p>\n<\/blockquote>\n<\/div>\n<\/li>\n\n\n\n<li>\n<p><strong>Microsecond-Level Traceability<\/strong><\/p>\n\n\n\n<p>TDengine records process data at sub-second resolution. By segmenting each part&#8217;s lifecycle (start\/end timestamps per process step), the system can retrieve the exact time window when a part was cast. Combined with PostgreSQL&#8217;s part records, this allows engineers to demonstrate to customers that the part was produced under acceptable conditions &#8212; or precisely why it wasn&#8217;t.<\/p>\n<\/li>\n\n\n\n<li>\n<p><strong>Operator Guidance for Less Experienced Workers<\/strong><\/p>\n\n\n\n<p>&nbsp;Expert knowledge is encoded into a static knowledge base. When anomalies are detected via simulation or statistical outliers, the system delivers targeted recommendations such as &#8220;inspect cooling system&#8221; or &#8220;increase mold temperature by 3%.&#8221; These are shown via on-site dashboards accessible in real time.<\/p>\n<\/li>\n<\/ol>\n\n\n\n<figure class=\"gb-element-92cd45b6\">\n<a href=\"https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/grafana-snap.jpg?strip=all&sharp=1&w=2560\"><img decoding=\"async\" width=\"1920\" height=\"1080\" class=\"gb-media-1800a17d\" alt=\"\" src=\"https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/grafana-snap.jpg?strip=all&sharp=1\" title=\"grafana-snap\" srcset=\"https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/grafana-snap.jpg?strip=all&amp;sharp=1 1920w, https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/grafana-snap-300x169.jpg?strip=all&amp;sharp=1 300w, https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/grafana-snap-1024x576.jpg?strip=all&amp;sharp=1 1024w, https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/grafana-snap-768x432.jpg?strip=all&amp;sharp=1 768w, https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/grafana-snap-1536x864.jpg?strip=all&amp;sharp=1 1536w, https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/grafana-snap.jpg?strip=all&amp;sharp=1&amp;w=384 384w, https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/grafana-snap.jpg?strip=all&amp;sharp=1&amp;w=1152 1152w, https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/grafana-snap.jpg?strip=all&amp;sharp=1&amp;w=450 450w\" sizes=\"(max-width: 1200px) 100vw, 1200px\" \/><\/a>\n\n\n\n<figcaption class=\"gb-text\">Visualize cavity pressure curves during the injection process, powered by TDengine<\/figcaption>\n<\/figure>\n\n\n\n<p>In the Grafana dashboard powered by TDengine, the operators at TCG UNITECH observed <strong>abnormal cavity pressure curves<\/strong> during the injection process. Specifically, they noticed a <strong>pressure difference between two vacuum systems in the mold<\/strong>, which was a deviation from the expected pattern. This visual cue led them to suspect a leak in the system. Their intuition was confirmed when further investigation revealed the root cause: a <strong>worn valve<\/strong>.<\/p>\n\n\n\n<p>This real-time visibility into sensor behavior &#8212; enabled by high-frequency time-series data from TDengine &#8212; allowed them to detect and address the issue <strong>before it led to defective parts or production downtime<\/strong>.<\/p>\n\n\n\n<h2 class=\"gb-text\"><span class=\"ez-toc-section\" id=\"Why_TDengine_was_Chosen_as_the_Time-Series_Database\"><\/span>Why TDengine was Chosen as the Time-Series Database<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>The AIT team initially experimented with a PostgreSQL-based time-series database but encountered performance limitations.<\/p>\n\n\n\n<div class=\"gb-element-5fce8b21\">\n<blockquote class=\"wp-block-quote is-style-default is-layout-flow wp-block-quote-is-layout-flow\">\n<div class=\"gb-element-7b0634b2 quote-prof\">\n<div class=\"gb-element-f61a3773\">\n<div class=\"gb-element-e2f75408\">\n<p class=\"gb-text gb-text-e82c5638\"><strong><strong>David Gruber<\/strong><\/strong><\/p>\n\n\n\n<p class=\"gb-text gb-text-4d64e014\">Research Engineer, AIT<\/p>\n<\/div>\n\n\n\n<img decoding=\"async\" width=\"640\" height=\"856\" class=\"gb-media-a977f4c4\" alt=\"\" src=\"https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/gruber_1463_2.jpg?strip=all&sharp=1\" title=\"gruber_1463_2\" srcset=\"https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/gruber_1463_2.jpg?strip=all&amp;sharp=1 640w, https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/gruber_1463_2-224x300.jpg?strip=all&amp;sharp=1 224w, https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/gruber_1463_2.jpg?strip=all&amp;sharp=1&amp;w=128 128w, https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/gruber_1463_2.jpg?strip=all&amp;sharp=1&amp;w=384 384w, https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/gruber_1463_2.jpg?strip=all&amp;sharp=1&amp;w=512 512w, https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/gruber_1463_2.jpg?strip=all&amp;sharp=1&amp;w=450 450w\" sizes=\"(max-width: 640px) 100vw, 640px\" \/>\n<\/div>\n<\/div>\n\n\n\n<p>We started with a PostgreSQL-based TSDB, but it couldn&#8217;t handle the data volume and write rates we needed for long-term storage. TDengine was able to compress better, ingest faster, and query efficiently at high resolution.<\/p>\n<\/blockquote>\n<\/div>\n\n\n\n<p>TDengine was selected as the time-series backbone after AIT benchmarked it against other systems. Its performance and efficiency were essential for TCG UNITECH&#8217;s environment, which combines high-volume, high-frequency data with long-term traceability requirements.<\/p>\n\n\n\n<p><strong>Key Benefits of TDengine:<\/strong><\/p>\n\n\n\n<ul>\n<li>\n<p><strong>3&#8211;5x Higher Compression<\/strong><\/p>\n\n\n\n<p>Compared to PostgreSQL-based time-series databases, TDengine reduced data size from <strong>50 GB\/month<\/strong> per machine to under <strong>10 GB\/month<\/strong>. This figure is based on one machine capturing 1,100 signals with sampling rates up to 2.5 kHz. Across 40 machines, the total savings become even more impactful &#8212; reducing data from roughly 2 TB\/month to 400 GB\/month. These savings become even more critical when you factor in all redundant backups to keep the data available for up to 25\u202fyears. The result is extended on\u2011site retention of raw data &#8212; vital for traceability, root\u2011cause analysis, and regulatory compliance.<\/p>\n<\/li>\n\n\n\n<li>\n<p><strong>&gt;1 Million Rows\/Sec\/Thread Ingestion<\/strong><\/p>\n\n\n\n<p>TDengine handled massive batch uploads from OPC UA and binary logs, ensuring no data was lost even during network lags or end-of-shift uploads.<\/p>\n<\/li>\n\n\n\n<li>\n<p><strong>&lt;100 ms Query Latency<\/strong><\/p>\n\n\n\n<p>For dashboard queries and SPARQL federation, TDengine consistently responded in real time &#8212; even under concurrent queries across multiple sensors.<\/p>\n<\/li>\n\n\n\n<li>\n<p><strong>Seamless SQL Integration<\/strong><\/p>\n\n\n\n<p>TDengine\u2019s SQL interface made it compatible with Ontopic\u2019s SPARQL federation layer, enabling semantic queries across TDengine and PostgreSQL without ETL.<\/p>\n<\/li>\n\n\n\n<li>\n<p><strong>Lightweight Edge Deployment<\/strong><\/p>\n\n\n\n<p>A complete TDengine node &#8212; including database, ingestion logic, and dashboard support &#8212; ran on edge servers using only 400 MB RAM and minimal setup effort.<\/p>\n<\/li>\n<\/ul>\n\n\n\n<div class=\"gb-element-321302f0\">\n<blockquote class=\"wp-block-quote is-style-default is-layout-flow wp-block-quote-is-layout-flow\">\n<div class=\"gb-element-ace8bdaf quote-prof\">\n<div class=\"gb-element-c9f3998e\">\n<div class=\"gb-element-eae564bc\">\n<p class=\"gb-text gb-text-b004a3c4\"><strong><strong>David Gruber<\/strong><\/strong><\/p>\n\n\n\n<p class=\"gb-text gb-text-167d5c43\">Research Engineer, AIT<\/p>\n<\/div>\n\n\n\n<img decoding=\"async\" width=\"640\" height=\"856\" class=\"gb-media-57eeaf39\" alt=\"\" src=\"https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/gruber_1463_2.jpg?strip=all&sharp=1\" title=\"gruber_1463_2\" srcset=\"https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/gruber_1463_2.jpg?strip=all&amp;sharp=1 640w, https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/gruber_1463_2-224x300.jpg?strip=all&amp;sharp=1 224w, https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/gruber_1463_2.jpg?strip=all&amp;sharp=1&amp;w=128 128w, https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/gruber_1463_2.jpg?strip=all&amp;sharp=1&amp;w=384 384w, https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/gruber_1463_2.jpg?strip=all&amp;sharp=1&amp;w=512 512w, https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/gruber_1463_2.jpg?strip=all&amp;sharp=1&amp;w=450 450w\" sizes=\"(max-width: 640px) 100vw, 640px\" \/>\n<\/div>\n<\/div>\n\n\n\n<p>We never experienced TDengine as a bottleneck. It handled our data volume easily, and the compression was extremely effective.<\/p>\n<\/blockquote>\n<\/div>\n\n\n\n<h2 class=\"gb-text\"><span class=\"ez-toc-section\" id=\"Value_Delivered_by_Industrial_AI\"><\/span>Value Delivered by Industrial AI<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<table id=\"tablepress-104\" class=\"tablepress tablepress-id-104\">\n<thead>\n<tr class=\"row-1\">\n\t<th class=\"column-1\">Capability<\/th><th class=\"column-2\">Before<\/th><th class=\"column-3\">After<\/th>\n<\/tr>\n<\/thead>\n<tbody class=\"row-striping\">\n<tr class=\"row-2\">\n\t<td class=\"column-1\">Defect Inspection<\/td><td class=\"column-2\">Manual, inconsistent<\/td><td class=\"column-3\">Augmented with dashboards and knowledge graph logic<\/td>\n<\/tr>\n<tr class=\"row-3\">\n\t<td class=\"column-1\">Knowledge Availability<\/td><td class=\"column-2\">Only during expert shifts<\/td><td class=\"column-3\">Embedded in semantic models, always available<\/td>\n<\/tr>\n<tr class=\"row-4\">\n\t<td class=\"column-1\">Root Cause Analysis<\/td><td class=\"column-2\">Manual search across a multitude of systems<\/td><td class=\"column-3\">One-click traceability via linked time and part data<\/td>\n<\/tr>\n<tr class=\"row-5\">\n\t<td class=\"column-1\">Process Monitoring<\/td><td class=\"column-2\">Limited sensor use<\/td><td class=\"column-3\">Real-time physics-based simulation and alerts<\/td>\n<\/tr>\n<tr class=\"row-6\">\n\t<td class=\"column-1\">Operator Guidance<\/td><td class=\"column-2\">None<\/td><td class=\"column-3\">AI-suggested countermeasures, context-aware<\/td>\n<\/tr>\n<tr class=\"row-7\">\n\t<td class=\"column-1\">Data Storage<\/td><td class=\"column-2\">Fragmented, low-resolution<\/td><td class=\"column-3\">High-frequency, normalized, and queryable<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<!-- #tablepress-104 from cache -->\n\n\n<div class=\"gb-element-5949d9d8\">\n<blockquote class=\"wp-block-quote is-style-default is-layout-flow wp-block-quote-is-layout-flow\">\n<div class=\"gb-element-64455ea3 quote-prof\">\n<div class=\"gb-element-c54e57e1\">\n<div class=\"gb-element-47e86f64\">\n<p class=\"gb-text gb-text-ac02c6e2\"><strong><strong>Bernhard Schmiedinger<\/strong><\/strong><\/p>\n\n\n\n<p class=\"gb-text gb-text-605af313\">Head of Information Management &amp;<br>Organization, TCG UNITECH<\/p>\n<\/div>\n\n\n\n<img decoding=\"async\" width=\"190\" height=\"185\" class=\"gb-media-a55d69b9\" alt=\"\" src=\"https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/siemens-prof2.png?strip=all&sharp=1\" title=\"siemens-prof2\" srcset=\"https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/siemens-prof2.png?strip=all&amp;sharp=1 190w, https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/siemens-prof2.png?strip=all&amp;sharp=1&amp;w=76 76w\" sizes=\"(max-width: 190px) 100vw, 190px\" \/>\n<\/div>\n<\/div>\n\n\n\n<p>Combining time series data, relational systems, semantic modeling, and AI driven analysis elevates our production data to a new level. We capture operations with unprecedented precision and use these insights to optimize processes in real time &#8212; strengthening our plant stability and efficiency and laying the foundation for smart, future-ready manufacturing.<\/p>\n<\/blockquote>\n<\/div>\n\n\n\n<h2 class=\"gb-text\"><span class=\"ez-toc-section\" id=\"Looking_Ahead\"><\/span>Looking Ahead<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>The Siemens and AIT team is continuing development:<\/p>\n\n\n\n<ul>\n<li>\n<p class=\"gb-text gb-text-643ec595\">Deploying the recommendation system across all 33 machines<\/p>\n<\/li>\n\n\n\n<li>\n<p class=\"gb-text gb-text-a076808e\">Expanding the static knowledge graph through continuous learning<\/p>\n<\/li>\n\n\n\n<li>\n<p class=\"gb-text gb-text-6d28905f\">Integrating new data types, including document metadata (PDFs)<\/p>\n<\/li>\n\n\n\n<li>\n<p class=\"gb-text gb-text-05c4f306\">Productizing the solution for use in other factories and industries<\/p>\n<\/li>\n\n\n\n<li>\n<p class=\"gb-text gb-text-b3d950fe\">Designing a new AI-based quality control loop using smart sensor systems detecting defects on die-cast parts<\/p>\n<\/li>\n<\/ul>\n\n\n\n<p>By aligning with digital twins and standardized ontologies, the platform also opens the door for <strong>cross-site analytics<\/strong> and <strong>interoperable simulations<\/strong> &#8212; crucial elements for the future of <strong>smart manufacturing<\/strong>.<\/p>\n\n\n\n<div class=\"gb-element-30050b35\">\n<blockquote class=\"wp-block-quote is-style-default is-layout-flow wp-block-quote-is-layout-flow\">\n<div class=\"gb-element-154d2b29 quote-prof\">\n<div class=\"gb-element-63051833\">\n<div class=\"gb-element-a6bbbadb\">\n<p class=\"gb-text gb-text-14940531\"><strong><strong>Stephan Strommer<\/strong><\/strong><\/p>\n\n\n\n<p class=\"gb-text gb-text-e87d9c42\">Project Manager &amp;<br>Senior Research Engineer, AIT<\/p>\n<\/div>\n\n\n\n<img decoding=\"async\" width=\"703\" height=\"901\" class=\"gb-media-e6a56812\" alt=\"\" src=\"https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/Portrait_20211025.jpg?strip=all&sharp=1\" title=\"Portrait_20211025\" srcset=\"https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/Portrait_20211025.jpg?strip=all&amp;sharp=1 703w, https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/Portrait_20211025-234x300.jpg?strip=all&amp;sharp=1 234w, https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/Portrait_20211025.jpg?strip=all&amp;sharp=1&amp;w=140 140w, https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/Portrait_20211025.jpg?strip=all&amp;sharp=1&amp;w=421 421w, https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/Portrait_20211025.jpg?strip=all&amp;sharp=1&amp;w=562 562w\" sizes=\"(max-width: 703px) 100vw, 703px\" \/>\n<\/div>\n<\/div>\n\n\n\n<p>This system makes expert-level process understanding accessible 24\/7. It&#8217;s especially valuable given the shortage of skilled labor in Europe.<\/p>\n<\/blockquote>\n<\/div>\n\n\n\n<h2 class=\"gb-text\"><span class=\"ez-toc-section\" id=\"Conclusion_A_Blueprint_for_Semantic-Driven_Industrial_AI\"><\/span>Conclusion: A Blueprint for Semantic-Driven Industrial AI<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>By combining <strong>TDengine&#8217;s time-series performance<\/strong>, <strong>Ontopic&#8217;s semantic federation<\/strong>, and the domain expertise of <strong>TCG UNITECH, Siemens, and AIT<\/strong>, the DG Assist project delivers a complete solution for traceability, defect prevention, and smart operator support. This architecture demonstrates that with the right tools, even legacy production lines can be transformed into intelligent, resilient, and <strong>AI-powered<\/strong> systems.<\/p>\n\n\n\n<div class=\"gb-element-3f78c670\">\n<p><strong>Interested in building your own Industrial AI solution?<\/strong><\/p>\n\n\n\n<p>Learn more about <a href=\"https:\/\/tdengine.com\">TDengine<\/a> and <a href=\"https:\/\/ontopic.ai\" rel=\"noopener\">Ontopic<\/a>, and how they power edge-to-cloud innovation for real-world manufacturing.<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>TDengine TSDB, Ontop, and the domain expertise of Siemens, AIT, and TCG UNITECH combine to deliver a complete solution for industrial AI.<\/p>\n","protected":false},"author":127,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"content-type":"","footnotes":""},"categories":[23,231],"tags":[],"ppma_author":[261],"class_list":["post-27666","post","type-post","status-publish","format-standard","hentry","category-case-studies","category-manufacturing"],"authors":[{"term_id":261,"user_id":127,"is_guest":0,"slug":"jfan","display_name":"Jim Fan","avatar_url":"https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/jfan-profile-new.jpg?strip=all&#038;sharp=1&#038;resize=96%2C96","1":"","2":"","3":"","4":"","5":"","6":"","7":"","8":""}],"_links":{"self":[{"href":"https:\/\/tdengine.com\/wp-json\/wp\/v2\/posts\/27666","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/tdengine.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/tdengine.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/tdengine.com\/wp-json\/wp\/v2\/users\/127"}],"replies":[{"embeddable":true,"href":"https:\/\/tdengine.com\/wp-json\/wp\/v2\/comments?post=27666"}],"version-history":[{"count":30,"href":"https:\/\/tdengine.com\/wp-json\/wp\/v2\/posts\/27666\/revisions"}],"predecessor-version":[{"id":29464,"href":"https:\/\/tdengine.com\/wp-json\/wp\/v2\/posts\/27666\/revisions\/29464"}],"wp:attachment":[{"href":"https:\/\/tdengine.com\/wp-json\/wp\/v2\/media?parent=27666"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/tdengine.com\/wp-json\/wp\/v2\/categories?post=27666"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/tdengine.com\/wp-json\/wp\/v2\/tags?post=27666"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/tdengine.com\/wp-json\/wp\/v2\/ppma_author?post=27666"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}