{"id":313,"date":"2022-01-05T06:47:00","date_gmt":"2022-01-05T06:47:00","guid":{"rendered":"https:\/\/crazydemos.com\/demo\/iconpro\/?post_type=casestudies&p=313"},"modified":"2023-08-08T16:15:48","modified_gmt":"2023-08-08T16:15:48","slug":"energy-minimize-consumption","status":"publish","type":"casestudies","link":"https:\/\/crazydemos.com\/demo\/iconpro\/casestudy\/energy-minimize-consumption\/","title":{"rendered":"Energy \u2013 Minimize Consumption"},"content":{"rendered":"

Project Subtitle<\/strong>
\nAutomation of network edge infrastructure & applications with artificial intelligence<\/p>\n

Companies & Partners<\/strong>
\nOpel Automobile GmbH, Fraunhofer IPT, Fraunhofer IST, Technische Universit\u00e4t Carolo-Wilhelmina zu Braunschweig and IconPro GmbH<\/p>\n

Problem<\/strong>
\nThe transfer and the processing of big data loads in production is often too slow to enable real-time process monitoring and optimization.
\nFactories shall be enabled to use high-performance data communication and processing services that are operated at the network edges. \u000bOne targeted use-case refers to the monitoring and processing of energy carrier data to minimize energy consumption in factories.<\/p>\n

Solution<\/strong>
\nTo create new service and application platforms three technologies are combined: 5G, edge computing and artificial intelligence. Sensors, machines and plant controls are integrated into this infrastructure. They provide control and production data for industrial use cases. This data is transmitted through a local 5G network to the near-use data center for real-time analysis. For data analysis, AI algorithms are used to automatically detect errors and investigate concepts for cross-site use of data. In this way, intelligent real-time control is to be realized in the factory. IconPro implements a real-time monitoring, analysis and optimization service for incoming energy carrier data.<\/p>\n

Outcome<\/strong>
\nOpen, flexible and high-performant infrastructure for communication and processing of big data loads in real time for various use-cases.
\nAutomated detection and prediction of energy wastage for different energy carriers in factories leading to lower costs and CO2 levels.<\/p>\n","protected":false},"featured_media":2370,"template":"","tags":[123,141],"case_studies_category":[],"class_list":["post-313","casestudies","type-casestudies","status-publish","has-post-thumbnail","hentry","tag-case-study","tag-signal-analysis-2"],"acf":[],"yoast_head":"\nEnergy \u2013 Minimize Consumption<\/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:\/\/crazydemos.com\/demo\/iconpro\/casestudy\/energy-minimize-consumption\/\" \/>\n<meta property=\"og:locale\" content=\"de_DE\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Energy \u2013 Minimize Consumption\" \/>\n<meta property=\"og:description\" content=\"Project Subtitle Automation of network edge infrastructure & applications with artificial intelligence Companies & Partners Opel Automobile GmbH, Fraunhofer IPT, Fraunhofer IST, Technische Universit\u00e4t Carolo-Wilhelmina zu Braunschweig and IconPro GmbH Problem The transfer and the processing of big data loads in production is often too slow to enable real-time process […]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/crazydemos.com\/demo\/iconpro\/casestudy\/energy-minimize-consumption\/\" \/>\n<meta property=\"og:site_name\" content=\"IconPro\" \/>\n<meta property=\"article:modified_time\" content=\"2023-08-08T16:15:48+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/crazydemos.com\/demo\/iconpro\/wp-content\/uploads\/2022\/01\/Aniara-scaled.jpeg\" \/>\n\t<meta property=\"og:image:width\" content=\"2560\" \/>\n\t<meta property=\"og:image:height\" content=\"872\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" 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