Condition monitoring and predictive maintenance of your machines

Intelligent condition monitoring including diagnostics and predictive maintenance work automatically and have one main goal: to save costs. Namely, the costs that arise from damage to machines or, even worse, from expensive production downtime.

Überwachung

Condition monitoring, i.e. the monitoring of machines and systems, is intended to ensure that quality standards are met at all times. Sensors measure relevant data, such as pressure, and transmit it contactlessly via passive RFID transponders. Visualized accordingly, this facilitates the controlling work of your team.

Predictive maintenance: service stop before the repair occurs

RFID-based, predictive maintenance automates your service stops and reports the optimum maintenance schedule based on various data, such as operating hours. The maintenance work can be selected in such a way that it is perfectly synchronized with the machine’s production times, but above all always at an early stage, before a wear-related repair even occurs. Predictive maintenance extends the service life of your machines. Your production management and your controlling department benefit:

  • Efficient maintenance cycles:
    machines report when the next maintenance should be carried out. This allows maintenance work to be planned and shortened while taking production into account.
  • Digitalization:
    The investment in the automation of machine park maintenance is offset by the potential costs of unplanned machine downtime. The short ROI speaks for the digitalization of maintenance processes.
  • System protection:
    Predictive maintenance means investment protection, it prevents repairs and longer downtimes.

Protect your investments, ensure quality compliance and avoid production downtimes.

Überwachung

RF KonSys Monitoring & Maintenance Module

For inventory monitoring, an inconspicuous position is chosen for attaching the RFID transponder, which is not visible but can still be detected. As the RFID label or RFID tag can be read without visual contact, this is a major functional advantage. In the maintenance area, the choice of identification transponders depends on their place of use (e.g. cold, cleaning requirements, harsh environment) and the best possible access to the machine’s maintenance data via the sensor system.
In the field of reader hardware, there is a large selection of rugged tablets that are specially designed for use in logistics and production. Certified RFID readers, such as those in the dust and splash water-resistant IP 67 class, are also designed for harsh environments and are designed to reliably read signals there too.

The RF KonSys monitoring and maintenance module solves these tasks:

  • Reports maintenance requirements for machines
  • Optimizes maintenance intervals
  • Prevents unplanned machine downtime and expensive spare part repairs
  • Extends the life cycle of machines
  • Theft protection for stocks / operating resources
  • Increases planning and process efficiency

The module not only reads the data, but also provides the interpretation in the specific use case. Employees are supported by this automated, digitalized process. For example, if a specific part has been forgotten to be replaced or a possible theft has occurred.

The reading processes as part of intelligent condition monitoring and predictive maintenance run passively in the background. Nobody has to actively take care of this monitoring. In the so-called. Smart Factory of Industry 4.0, readers record data and pass it on for diagnosis. You define the output interface for such a display for each of your (communication) channels: The control station, mobile handhelds (MDE) or special warning systems in your production hall.
We output the data recorded in the machine park via the media you have defined: By email, as a support ticket (helpdesk), the shift supervisor’s tablet or the reporting system at your head office. This data flow, from the smallest field sensor to the leading ERP system and the various display media, is our integration service. So every message arrives where it is supposed to.

Intelligent RFID transponders automatically report when the machine requires maintenance.

Director Production Quality in the “Predictive Maintenance” project

Application Examples

If you equip your expensive goods or equipment with an RFID transponder at an invisible location, you can implement effective theft protection.
At the moment of loading, RFID readers detect unauthorized goods. This automated, digitalized vehicle control via permanently installed readers compares the loaded objects with the order data and protects your stock from theft.

With predictive maintenance, you prevent unplanned machine downtimes and therefore expensive production losses. You automate the maintenance of your machinery, select the optimum scheduled time for a service visit in coordination with production and thus increase planning reliability in production.
As maintenance is carried out proactively to avoid repairs, you also ensure a longer service life for your machines.

RFID-based identification of components, bogies and trains for maintenance work makes a lot of sense for streetcar operators: the quality, safety and documentation requirements for maintenance are increased by the exact identification of all modules. Thanks to a unique component ID number, the maintenance team always knows which component was replaced when and where. And, above all, that the replacement actually took place as planned. After maintenance, a new check is carried out by stationary readers – the current train diagram is documented with its new status for the next maintenance cycle.

How Does Your Maintenance Benefit from the RF KonSys Module?

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RFID-based monitoring and maintenance

  • No downtime: Optimized maintenance interval, without machine downtime.

  • Efficient: Optimum maintenance timing in coordination with production.

  • Automated: Predicted maintenance requirements at the optimum time.
    Better planning capability.

  • Security: Automated monitoring process

  • Smart Factory: If RFID is already used in quality assurance, it can also be used for maintenance. Gradual digitalization of logistics and production.

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Manual planned maintenance

  • Downtimes: Sudden repair case with machine downtime or loss of production.

  • Inefficient: Unfavorable maintenance times.

  • Personnel-dependent: Employees must organize maintenance intervals with coordination effort.

  • Uncertainty: about the status of the machines and sudden repairs.

  • Left behind: No digitalized processes also means a poorer competitive position.

Conclusion

Our maintenance and servicing solution is specially designed for your systems and equipment.
Longevity and safety are paramount.
Available solutions:

  • Condition monitoring
  • Predictive maintenance
  • Inventory monitoring
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