Kkula
Industrial Edge Applications
allow the integration of information technology components such as object-oriented programming, databases, data layers and artificial intelligence in the control layer.
Edge Apps support innovative applications in the field of diagnostics and analysis of large amounts of high-frequent data in the automation and manufacturing environment, such as predictive maintenance. They are provided both by Siemens and by partners and can be specifically developed to meet the individual customer requirements.
Edge Apps are developed in house using the Docker-Compose specification. Usage of programming languages such as C, C++, C#, Java, Python, Node.js. Due to the use of container technology, Edge Apps ensure system stability and can be scaled to various devices.
To support an open system architecture, Edge Apps can combine arbitrary applications such as web server, web sockets, databases, complex calculations and even Open Source-based components. Furthermore, integrated Apps such as the SIMATIC Flow Creator, allow for quick implementation of local data management, apart from ready-to-use Siemens Applications.
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Industrial Edge Applications integrate IT components like object-oriented programming, databases, data layers, and AI into the control layer.
They enable innovative applications for diagnostics and analysis of high-frequency data, such as predictive maintenance. These apps are available from Siemens and partners, and can be customized.
Developed using Docker-Compose and languages like C, C++, C#, Java, Python, and Node.js, Edge Apps offer system stability and scalability.
They support an open architecture, combining various applications – web servers, databases, calculations, and even open-source components – alongside integrated tools like SIMATIC Flow Creator for local data management.
For further details, please visit our website.
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