Pressemitteilung BoxID: 897565 (Weidmüller)
  • Weidmüller
  • Klingenbergstraße 16
  • 32758 Detmold
  • Ansprechpartner
  • Horst Kalla
  • +49 (5231) 14-291190

Live application for Industrial Analytics

Weidmüller at the Hannover Messe 2018: Hall 11, Stand B.58

(PresseBox) (Detmold, ) Weidmüller Industrial Analytics: BOGE using Weidmüller's Industrial Analytics in its high-speed turbo compressors for oil-free compressed air production – The Weidmüller analytics software is an element of BOGE Analytics, an Industry 4.0 service package for the intelligent evaluation of operational data.

At the Hannover Messe 2018, Weidmüller will be presenting a live Industrial Analytics application, where the benefits for machine construction companies and end users will be demonstrated directly at the trade fair stand. An HST 220 (High Speed Turbo) high-performance compressor by compressor manufacturer BOGE will be demonstrated here, which uses the Industrial Analytics software for preventative maintenance from Weidmüller to detect errors and operational anomalies. The analytics software is an element of BOGE Analytics, an Industry 4.0 service package for the intelligent evaluation of operational data.

The highlight of the live application is the analysis of parameters that can be adjusted directly on the machine. This means that visitors can adjust the cooling system, for example, in order to simulate engine problems. The analytics software from Weidmüller quickly detects the amended framework conditions and uses a special forecasting algorithm to predict the new probability of failure due to the manipulation, and to warn the machine user in the event of a potential failure. The data from the analytics software is processed offline, directly on the compressor IPC – data is visualised via a browser display, meaning that it can be viewed on different end devices at the trade fair stand.

The new BOGE HST compressors represent a key milestone in the development of class 0 oil-free compressed air production. The application areas of BOGE HST compressors include the pharmaceutical and food industries, industrial paint shops and semiconductor production. In all application areas, the consequences of machine downtime can be catastrophic. Preventative error prevention is a prerequisite for increased process reliability and optimal energy management for customers. That's why BOGE has been continuing to drive forward its strategy Compressed Air 4.0 in the areas of service and maintenance.

BOGE is using predictive maintenance software from Weidmüller to detect potential errors and operational anomalies before they occur. This innovative software solution is an element of BOGE Analytics, the Industry 4.0 package for intelligent data evaluation and usage. The software package also contains the BOGE airstatus remote-monitoring solution, the Continuous Improvement programme and the 24-hour recovery function.

The predictive maintenance software detects errors and critical deviations in technological parameters in good time, and the operational findings from all BOGE compressed air solutions are used in the data evaluation. This makes it possible to make predictions with regard to future maintenance requirements during ongoing operation, and to plan any service interventions as effectively as possible. BOGE then replaces the affected components before the predicted damage occurs, making costly after-care and long periods of downtime things of the past. With predictive maintenance, BOGE is benefiting from a central value driver for a competitive and continuous supply of compressed air in accordance with Industry 4.0 standards.

This application is the perfect practical example of the close collaboration between customers and users when it comes to digitalisation solutions. BOGE stands out from the competition with its innovative new service package, while also providing added value for its customers.

Weidmüller – electrical connection, transmission and conversion of power, signals and data in the industrial environment. – Let’s connect.

Additional information:

Industrial Analytics landing page:

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