Keeping a close eye on critical machinery
Machine downtime stops production, snarls operations and frequently impacts end customers. Lost sales and a damaged reputation are often the result. SMART monitoring recognizes breakdowns and malfunctions before they happen. Where there are anomalies, SMART monitoring analyzes which machinery components and sensor readings are causing them. This helps companies diagnose problems more quickly and organize maintenance more efficiently. Unplanned downtime is decreased and maintenance costs sink thanks to improved problem-solving and smoother operations. It’s also a great way to get started with predictive maintenance, since no previous experience and historical malfunction data is necessary – the software for recognizing anomalies can be immediately activated using the sensor data from a normally functioning machine.
Your benefits from Smart Monitoring in overview
Easy entry into IoT
SMART monitoring makes it easy for both professional users and beginners to get started with the Internet of Things. It’s possible to use even when you have limited experience. And historical malfunction data is not necessary.
Reduce your downtime and machinery malfunctions while diagnosing the causes faster. SMART monitoring recognizes malfunctions based on correlated sensor data that cannot be discovered with normal techniques.
A dashboard visualizes real-time sensor readings, anomalies and alerts. This allows you to better plan your service personnel, reducing maintenance costs and boosting customer satisfaction in the process.
Your data will be stored at Deutsche Telekom’s highly secure German data centers that are subject to the strict requirements of the European General Data Protection Regulation (GDPR).
Use cases for all sectors
Predictive Maintenance with comprehensive service
Comprehensive 360-degree service for predictive maintenance means: All components for an end-to-end solution are ready to go. This starts with the hardware, but includes connectivity, data centers and private consultation.
Improved quality with Next Generation Maintenance
Next generation maintenance (NGM) reduces unplanned production downtime, boosts machine availability and improves service. This video example of spot-welding robots shows how a manufacturer can recognize weaknesses and fix them using quality analysis.
Smart Monitoring in use
Using a pretend production line, Telekom demonstrated digital industrial solutions at the Hannover Messe 2018, in particular for condition monitoring, smart monitoring and predictive maintenance.
From steam engines to digital factories
Using the example of a (model) steam engine, Deutsche Telekom showed how even older machinery can be digitalized at the Hannover Messe 2018. They can be equipped with sensors via a retrofit procedure making smart monitoring and anomaly recognition possible.
Predictive Analytics: See the future
Who wouldn’t like to know what the future holds? With predictive analytics in SAP S4/HANA, companies can forecast machinery conditions using current sensor data. That way they’ll know what to expect from their equipment.
Further information available for download
We are at your service!
You’d like to know how you can use SMART monitoring to avoid unnecessary downtime? Please feel free to contact us - our IoT experts will be happy to help and advise you.