{"id":3509,"date":"2021-09-09T14:00:17","date_gmt":"2021-09-09T12:00:17","guid":{"rendered":"https:\/\/euprogigant.com\/?page_id=3509"},"modified":"2021-09-09T14:01:11","modified_gmt":"2021-09-09T12:01:11","slug":"developing-industry-standards-for-high-frequency-low-cost-data-acquisition","status":"publish","type":"page","link":"https:\/\/euprogigant.com\/en\/use-cases\/developing-industry-standards-for-high-frequency-low-cost-data-acquisition\/","title":{"rendered":"Developing industry standards for high-frequency, low-cost data acquisition"},"content":{"rendered":"

Use case:<\/h2><\/div>

Developing<\/span> industry<\/span> standards<\/span> for<\/span> high-<\/span>frequency<\/span>, <\/span>low-cost<\/span> data<\/span> acquisition<\/span><\/span><\/span><\/span><\/h1><\/div><\/div><\/div><\/div><\/div>
Home<\/a><\/span><\/span><\/div>

Using a low-cost, open-source approach, the project aims to implement <\/span>vertical data integration<\/span><\/b> so that <\/span>industrial companies can network machines and plants on their own<\/span><\/b>.\u00a0<\/span>\u00a0<\/span><\/p>\n

\u00a0<\/span><\/span><\/p>\n<\/div>

This approach will have interfaces for data exchange with Enterprise Resource Planning (ERP) systems and Manufacturing Execution Systems (MES). The development of a data lake will ensure secure and sovereign long-term data storage as the foundation for new business models and application fields for artificial intelligence.\u00a0\u00a0<\/span>\u00a0<\/span><\/p>\n<\/div><\/div><\/div><\/div><\/div>

Following the definition of requirements for data collection, the data connectors that are used between edge devices, on-premise and cloud platforms and the data lake will be developed. The emphasis here is on secure and certified standards.<\/span>\u00a0<\/span><\/p>\n

At a later stage, the <\/span>open source solution for data storage, processing and visualisation<\/span><\/b> will be implemented. In the future, this can be installed free of charge on edge devices, on company platforms and in the cloud using so-called containers. To ensure data security, trusted cloud environments will be created together with the partners.<\/span>\u00a0<\/span><\/p>\n

Machine learning algorithms are used to integrate the Gaia-X functionalities as well as those for implementing the resilience concept, such as automations to forward secure data to new target systems in case of system failures.<\/span>\u00a0<\/span><\/p>\n<\/div><\/div><\/div><\/div><\/div><\/p>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":6,"featured_media":0,"parent":3354,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"100-width.php","meta":[],"yoast_head":"\nDeveloping industry standards for high-frequency, low-cost data acquisition - EuProGigant<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/euprogigant.com\/en\/use-cases\/developing-industry-standards-for-high-frequency-low-cost-data-acquisition\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Developing industry standards for high-frequency, low-cost data acquisition - 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