AI-controlled predictive maintenance
Unplanned network outages are poison for business processes. Cisco is now tackling this problem with an AI-based technology for predicting and potentially resolving network problems.
read more...read more...Mobile instead of stationary
In addition to the technical steps of inspection, maintenance, repair and improvement, administrative aspects such as planning, evaluation and feedback are also important in maintenance management. This works efficiently with a mobile solution for the SAP system.
read more...From end devices to cloud solutions
Wind River introduces the latest version of Wind River Studio, a cloud-native platform for developing, deploying, operating and maintaining intelligent systems.
read more...iT Engineering Software Innovations
Predictive maintenance in drive technology
Industry 4.0 is driving the trend towards small batch sizes with high product variance. This puts different loads on drives in machines and systems and makes it more difficult to predict the right time for maintenance. IIoT Building Blocks help with predictive maintenance.
read more...Forecasting the service life of machines and systems
With the i.Cee:local module, Igus has developed a new 'home' for the 'smart plastics' software.
read more...Zero Trust in OT/IT environments
Siemens and Zscaler cooperate
The aim of the cooperation between Siemens and Zscaler is to enable secure and needs-based remote access to OT systems without exposing the OT network to an increased threat potential.
read more...Schaeffler grows stronger than expected
Suppliers have struggled considerably with coronavirus and the transformation to new technologies, particularly in the automotive sector. Now the end of the crisis seems to be in sight for at least one of them.
read more...Dynamic weight measurement in freight transport
By measuring the weight of freight trains, loads on the infrastructure can be determined and predictive maintenance measures can be taken on wagons and rails. A special dynamic weighing system is now also on the rails in Germany.
read more...Predictive maintenance with artificial intelligence
Data generated by machines and systems is used to detect and prevent faults at an early stage. However, they can only develop their full potential through intelligent linking with the relevant data from different source systems. Insight engines help with this.
read more...WLAN-capable process monitoring
Kistler has added new features to the ComoNeo process monitoring system for integrated injection molding production: The pressure curve in all cavities can now be monitored more precisely with a process-adapted envelope curve.
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