The presented project IllwerkeVKW group and Crate.io shows as well the potential of Edge computing, big data handling and machine learning to further improve asset management in a decentral and at the same time scalable environment with data streams of up to 10 000 measurements per second plus event based processing. Positive feedback confirms our adaptive and innovate platform for asset and energy services.
About GI.cloud
GI.cloud integrates high resolution measuring, high performance big data analytics and easy data accessibility. The innovative platform combines Gantner’s proven edge-type monitoring and control units, an adaptive cloud system and a comprehensive user interface and applications with State of the art APIs.
The flexible configuration of GI.cloud does not only allow customers to build the systems exactly to their needs but also protects their investment: once the powerful edge and scalable cloud modules are installed, together with customizable service plug-ins they will allow to meet higher demands in the future.
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Engineers and technicians often have a lot of problems when they are dealing with complicated data acquisition setups. These setups can include large amounts of data, the use of different devices, and the need for information in real time. Addressing these challenges head-on, Gantner Instruments proudly announces the latest evolution of our industry-leading software, GI.bench.
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The amount of data generated in an aircraft structural test program continues to grow. The density of load introduction points (actuators) and sensors (strain gauges, thermocouples, LVDTs) on a test article is increasing progressively and model validation requires higher data sample rates to capture more detail. The risks and costs involved in aircraft validation and certification are significant, and the requirement for quick entry-into-service is high. To minimize the impact of retrofitting in-service aircrafts, the ability to generate test results quickly is crucial to the success of a test program.
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