Predictive analytics with ODiN
Minimize your downtime
on Clinker Cooler Hydraulics
Predictive maintenance in a nutshell
Predictive Maintenance – ODiN
Predictive services with Rexroth
with Rexroth Service - the original
Predictive analytics with ODiN
Leave nothing to chance!
ODiN (Online Diagnostics Network) – leave nothing to chance
Sudden machine breakdowns, unplanned, costly maintenance work and pre-defined maintenance cycles – is that the solution?
Considerable costs are incurred here and in many cases components are not used until the end of their operating lives. With the smart Industry 4.0 solution Predictive Analytics from Rexroth, this is a thing of the past.
- Higher machine availability with permanent, automated monitoring of your machine data
- Lower costs thanks to reduced downtimes
- Up to 50% faster maintenance
- Increased productivity
- Reduced storage costs for spare parts
- Data-based analysis and maintenance strategy by our specialists
- Additional Rexroth services
How Predictive Analytics works with ODiN – in six steps
Intelligent combination of sensor technology and machine learning methods.
In the event of a machine upgrade with our predictive maintenance tool ODiN, we recommend pre-defined sensor packages for all components in the hydraulic system. Measured values from sensors already present can be read out from an existing machine control system. The hardware is installed by Bosch Rexroth specialists.
A direct connection secures your data.
Data are transferred with a mobile communications router, a pre-configured direct connection and restricted access to the ODiN cloud. The mobile communication router that we provide ensures a secure one-to-one connection.
Systematic analysis. Precise and universal.
ODiN analyzes your machine data using complex evaluation algorithms. After an initial learning phase (machine learning), the data analytics system is able to recognize changes in good time on the basis of a data-based model.
At regular intervals, you will receive timely recommendations from our experts in the form of detailed status reports.
Up to 50% faster maintenance.
If the system reports irregularities in the machine health status, our specialists examine the monitored system in detail and make a maintenance recommendation in good time. We work with you to come up with an optimum maintenance strategy in order to be able to react in good time in the future and avoid unplanned machine breakdowns.
Additional services coupled with ODiN significantly increase system availability. Find out more about our additional services.
Request the ODiN-Whitepaper "Predictive Maintenance"
Request the ODiN-Whitepaper "Predictive Analytics"
Request the ODiN-Whitepaper "Big Data & Machine Learning"
Request the ODiN-Whitepaper "Predictive Analytics & Maintenance Optimization"
ODiN in metallurgy
Robert Bosch Lollar Guss GmbH, as a manufacturer of cast products, suffered several times in the past from failures of the moulding plant, caused by malfunctions of the central hydraulic system. However, this system is a central element in the casting process, which is why the company decided to have the main hydraulics monitored by ODiN.
Successful start in the cement industry
At Lafarge Holcim, a supplier of cement and ready-mix concrete, ODiN is successfully used for plannable maintenance. This is made possible by monitoring the key indicators of the hydraulically operated clinker cooler with ODiN to detect possible failures in time.
Condition-based maintenance for mould casting
Buderus Guss, as a brake disc manufacturer for the automotive industry, decided at a very early stage in favor of condition-based maintenance from Bosch Rexroth. This is because production downtimes can have devastating consequences, especially where production processes are very closely interlocked.
ODiN in metallurgy 2.0
Bosch Rexroth Guss GmbH, manufacturer of cast products and valve blocks, was previously able to maintain machine downtimes at a low level through carefully targeted maintenance schedules. With the monitoring by ODiN, this maintenance work aims to reduce and intends to prevent machine downtimes.