{"id":1122,"date":"2026-03-30T21:28:39","date_gmt":"2026-03-30T19:28:39","guid":{"rendered":"https:\/\/dejonge.ai\/insights\/babel-in-the-factory-how-edgebrain-brings-together-machines-from-different-manufacturers\/"},"modified":"2026-04-01T14:29:40","modified_gmt":"2026-04-01T12:29:40","slug":"babel-in-the-factory","status":"publish","type":"post","link":"https:\/\/dejonge.ai\/en\/insights\/babel-in-the-factory\/","title":{"rendered":"Babel in the factory: How EdgeBrain brings together machines from different manufacturers"},"content":{"rendered":"<p><strong>Siemens controller in line 1, Beckhoff in line 3, Fanuc robots in the welding cell, IO-Link sensors on the conveyor belt, a fieldbus system from the early 2000s and, in the middle of it all, the question: How do these worlds come together? The answer does not lie in the cloud or in a years-long IT project. It lies directly on the store floor. <\/strong><\/p>\n<hr \/>\n<h2>The problem is not &#8220;lack of data&#8221;, it is &#8220;incompatible infrastructure&#8221;<\/h2>\n<p>Modern production environments have evolved over time. Investment decisions have been made over decades, always based on the best available technology for a specific task. The result is machinery that works but lives in silos.<\/p>\n<p>On the one hand, there are modern systems: they communicate via TCP\/IP-based protocols such as OPC UA or MQTT, are network-compatible and provide data that could, in principle, be used immediately. On the other hand, there are older or specialized systems: they speak fieldbuses such as PROFINET, EtherNet\/IP, Modbus RTU, PROFIBUS, use IO-Link or proprietary interfaces that no standard network system understands out of the box.<\/p>\n<p>Both worlds generate valuable data. But they have hardly ever communicated together.<\/p>\n<hr \/>\n<h2>What EdgeBrain brings to the table and what it enables<\/h2>\n<p>EdgeBrain is equipped with ix-Ethernet: an industrial Ethernet connection with a full TCP\/IP stack. This means that all TCP\/IP-based communication protocols (OPC UA, MQTT, REST, Modbus\/TCP and others) can be implemented directly on EdgeBrain. Anyone who wants to connect a modern controller or a network-compatible sensor can do so without additional hardware, without detours and without loss of latency.<\/p>\n<p>For fieldbuses and older systems, the architecture provides for a pragmatic step: Fieldbus loggers, IO-Link masters or protocol gateways are used as a dedicated hardware bridge. These devices speak the respective &#8220;machine language&#8221; and pass on their data via a network interface.<\/p>\n<p>This is exactly where EdgeBrain comes in: It communicates directly with these loggers, IO-Link masters and gateways and brings together all incoming data streams locally. Locally. In real time. Without the data having to leave the factory.<\/p>\n<hr \/>\n<h2>The strength: consolidation directly on the store floor<\/h2>\n<p>What distinguishes EdgeBrain from traditional integration approaches is where the merging takes place.<\/p>\n<p>In conventional architectures, data from various sources is uploaded to a central platform, often in the cloud or data center, where it is standardized and then uploaded back again. This means: latency due to data transport, dependence on network availability and external infrastructure costs.<\/p>\n<p>EdgeBrain turns this principle on its head.<\/p>\n<p>The fieldbus logger supplies its values. The IO-Link master passes on sensor status and process variables. The TCP\/IP-capable controller sends its operating data directly. EdgeBrain receives all these streams, standardizes them to a uniform data model and makes the result available as curated gold data for MES, ERP, quality assurance or analytics. Everything happens locally, deterministically, in real time.<\/p>\n<p>The result: a coherent data image of the entire machine fleet, regardless of how many manufacturers, protocols and generations it comprises.<\/p>\n<hr \/>\n<h2>Three scenarios from practice<\/h2>\n<p><strong>Scenario 1: Cross-line OEE without data delay<\/strong><\/p>\n<p>Three production lines, three different controller generations. Line 1 communicates directly with EdgeBrain via OPC UA. Line 2 has a fieldbus logger that is connected via Modbus\/TCP. Line 3 uses IO-Link masters for its sensors. EdgeBrain collects the data from all three sources, normalizes it to a common time grid and calculates OEE key figures in real time. No data export, no 24-hour delay, no central server.<\/p>\n<p><strong>Scenario 2: Quality correlation across system boundaries<\/strong><\/p>\n<p>A deviation in the end product occurs sporadically, but cannot be assigned to an individual machine. Thanks to EdgeBrain&#8217;s consolidated database, fed by temperature sensors via IO-Link, control parameters via OPC UA and pressure curves via fieldbus loggers, overarching correlations can be established. The cause: a temperature peak in an upstream process step that no system had previously seen on its own.<\/p>\n<p><strong>Scenario 3: Legacy integration without standstill<\/strong><\/p>\n<p>A CNC machine built in 2003 has no network interface, but outputs digital and analog status signals. A compact fieldbus logger reads these signals and makes them available via a TCP\/IP interface. EdgeBrain integrates the logger and integrates the machine into the company-wide database without interfering with the control system, without stopping production and without new software on the machine.<\/p>\n<hr \/>\n<h2>Heterogeneity is not a weakness &#8211; if the consolidation is right<\/h2>\n<p>A mixed machine park is not a mistake. It is the result of sensible investment decisions. The challenge so far has not been the hardware itself &#8211; but the lack of a layer that operates above the manufacturer boundaries and transfers the existing diversity into a coherent data image.<\/p>\n<p>With EdgeBrain, this layer is in place: network-capable for all TCP\/IP protocols, open to loggers and gateways from any manufacturer, and able to consolidate all incoming data on site &#8211; before it leaves the factory or reaches a central platform.<\/p>\n<p>That makes the difference: not another cloud solution that merges data retrospectively, but an edge instance that combines data where it is created.<\/p>\n<hr \/>\n<p><em>How is your machinery set up? Talk to us about the right architecture for your environment: <a href=\"mailto:info@dejonge.ai\">info@dejonge.ai<\/a> <\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Siemens, Beckhoff, Fanuc, IO-Link &#8211; every machine speaks a different language. EdgeBrain is equipped with a full TCP\/IP stack: TCP\/IP-based protocols such as OPC UA and MQTT run directly on it. For fieldbuses, EdgeBrain communicates with loggers and gateways from every manufacturer &#8211; and consolidates all data streams on site.  <\/p>\n","protected":false},"author":1,"featured_media":1121,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[20],"tags":[],"class_list":["post-1122","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-knowledge-2"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Babel in the factory: How EdgeBrain brings together machines from different manufacturers - de Jonge GmbH<\/title>\n<meta name=\"robots\" content=\"noindex, follow\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Babel in the factory: How EdgeBrain brings together machines from different manufacturers - de Jonge GmbH\" \/>\n<meta property=\"og:description\" content=\"Siemens, Beckhoff, Fanuc, IO-Link - every machine speaks a different language. 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