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BMW Group’s innovative Edge Ecosystem wins award.

+++ Cloud-based software suite for worldwide edge device management +++ Central app catalogue rolled out in the BMW Group production network +++ Zero-touch installation for fully automated setup +++

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+++ Cloud-based software suite for worldwide edge device management +++ Central app catalogue rolled out in the BMW Group production network +++ Zero-touch installation for fully automated setup +++

 

Munich. The BMW Group’s Edge Ecosystem has won the Microsoft Intelligent Manufacturing Award 2021 in the Envision category. The cloud-based software suite allows production-related applications (apps) on edge devices to be distribut-ed, configured and administered worldwide. This means software innovations can now be rolled out efficiently by users themselves without deviating from standard-ised business processes.

The Edge Ecosystem significantly reduces the effort involved in the manual man-agement of many thousands of devices around the world. It also helps prevent faulty configurations from causing production shutdowns and saves on maintenance costs.  These advantages make the innovative Edge Ecosystem a key driver in the digitalisation of the entire BMW Group production system.

Because it is open and uses standard IT technologies, the Edge Ecosystem also allows external partners and suppliers to integrate their hard- and software compo-nents around the world into the BMW Group’s production system – efficiently and without special adjustments. Fast hardware integration is enabled by a zero-touch installer that integrates new edge devices into the ecosystem fully automatically and without user input.

 

Increasing efficiency and cutting downtimes in production.

App configuration is managed centrally by the cloud platform and allows hot-swapping – which is particularly important for production. So if an edge device fails, it takes just a matter of minutes to load the complete application and configuration onto a new device. This reduces downtimes in production to a minimum and elimi-nates the need for separate, complex backup management.

 

Worldwide distribution of AI models.

The BMW Group’s Edge Ecosystem is already in use in several applications world-wide. In production, it connects the cameras and edge devices of specialised deep learning models used for inline quality assurance. It also allows image data, which undergoes application-specific processing locally, to be managed and offers the necessary flexibility for the agile exchange of AI models.

The Edge Ecosystem is being used in the press shop as well. Here, sheet metal must be oiled before being formed, but the amount of lubrication required depends on a range of factors, such as storage time. To ensure the optimum amount of lu-brication, a deep-learning model was developed that transmits the lubrication pa-rameters for each sheet to the machine and controls the system in real time. The model has been distributed and is constantly updated in the BMW Group Edge Ecosystem as an application for BMW Group presses around the world so that only as much oil is used as necessary.

 

Retrofitting to existing systems.

The Edge Ecosystem can also be used to update existing systems so that they too can work with modern applications in the cloud. This is done by installing a special gateway software on an edge device in the system which then converts its data into cloud-compatible formats. For example, the technology is being used to integrate loading machines and fire doors into the network of autonomous transport systems in logistics.

 

Edge Ecosystem wins award.

The value-adding impact the BMW Group Edge Ecosystem will have on future production has now been confirmed by an independent source. The system has now scooped the Microsoft Intelligent Manufacturing Award 2021 pre-sented by Microsoft and Roland Berger, in the Envision category.

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Fuel consumption, CO2 emission figures and power consumption and range were measured using the methods required according to Regulation VO (EC) 2007/715 as amended. They refer to vehicles on the German automotive market. For ranges, the NEDC figures take into account differences in the selected wheel and tyre size, while the WLTP figures take into account the effects of any optional equipment.

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