Live monitoring of machines
HMS Networks introduces eCatcher Mobile KPIs, an update to this app that allows users to check the status and performance of their machines equipped with an 'Ewon' router live from any location.
read more...read more...SPS Connect 24.11. - 11:40 - 12:00 a.m.
Maintenance 4.0: The human factor in the IoT
The session will address the topic of improving machine availability through predictive maintenance and augmented reality. In addition to other use cases, Industry 4.0 or the IIoT offers a holistic manufacturing approach - for example via predictive maintenance.
read more...SPS Connect 24.11. - 16:40 - 17:00
The digital twin in the area of maintenance and customer service
Find out more about an innovative solution for visualizing a digital, document-free connectivity model in the live presentation.
read more...Integrated monitoring
Failures in industrial heating processes can be reduced if faults and malfunctions are detected at an early stage. However, the basis for predictive maintenance is the constant recording and analysis of data from the various system components.
read more...Next generation condition monitoring
A mesh network consisting of vibration sensors, a gateway with a SIM card, cloud data analysis and an app is set to take condition monitoring to a new level. The highlight: every operator of production sites can monitor machines and units themselves at expert level.
read more...Actionable insights thanks to asset performance management
A recent survey published by AVEVA shows that Asset Performance Management is central to operations and maintenance professionals. APM 4.0 can improve business goals and empower teams.
read more...Preventive maintenance management
Keeping the robot fit
Maintenance and servicing ensure high productivity and availability in industrial plants. This is especially true for complex industrial robots. New solutions for preventive maintenance management open up new efficiency potential.
read more...Own information portal for maintenance
RS addresses the field of "maintenance and servicing" with a dedicated online portal that summarizes all relevant information on this topic at a glance.
read more...Optimizing predictive maintenance with AI
Predictive maintenance is not based on static models, but must constantly adapt to the circumstances. Machine learning algorithms can help with this.
read more...Intelligent and needs-based maintenance
Complex correlations can be precisely analyzed on the basis of data and extrapolated for the future. Advanced analytics is used particularly frequently for predictive maintenance in production.
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