Use case

Oil report for gearbox maintenance

The daily inspection of oil reports is an essential part of the maintenance strategy in mechanical and plant engineering to ensure the functionality and efficiency of gearboxes. Detecting contamination and analyzing different report formats can be time-consuming and error-prone.

shopfloorGPT not only automates the inspection process, but also increases the accuracy of your quality controls. Minimize the time and error rate associated with manual inspections and allow your teams to focus on critical tasks.

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Challenges in Gearbox Maintenance

Time-Consuming Processes

Detecting contamination and analyzing various report formats manually is a labor-intensive task.

Error-Prone Inspections

Manual inspections are susceptible to human error, which can compromise the accuracy of quality controls.

Resource Allocation

Teams are often diverted from critical tasks to handle routine inspections, impacting overall productivity.

The AI agent simplifies and optimizes the inspection process

Automated upload

Easily integrate all oil reports into shopfloorGPT. The upload process accepts reports in PDF format and ensures immediate availability of all data.

Targeted analysis

The AI agent is programmed to check the latest oil reports for irregularities. A simple textual task description initiates the precise analysis.

Switch to shopfloorGPT and transform your maintenance strategy with automation and precision. Ensure the optimal performance of your gearboxes while freeing up valuable resources to drive innovation and growth.

In 4 Schritten zur automatisierten Ölbericht-Analyse mit shopfloor.GPT

1

Integration des Upload-Systems

Beginnen Sie mit der Einrichtung des automatisierten Uploads für Ihre Ölberichte in shopfloor.GPT. Dieser Schritt ermöglicht die direkte Übernahme der Berichte in das System und sorgt für eine nahtlose Verfügbarkeit der Daten.

2

Konfiguration des KI-Agenten

Konfigurieren Sie den shopfloor.GPT KI-Agenten durch einfache textuelle Anweisungen, die speziell darauf ausgerichtet sind, die neuesten Ölberichte auf Auffälligkeiten zu prüfen. Dieser Schritt stellt sicher, dass der KI-Agent genau nach Ihren Anforderungen agiert.

3

Automatisierte Analyse durchführen

Lassen Sie den KI-Agenten die hochgeladenen Ölberichte automatisch analysieren. Der Agent konzentriert sich darauf, nur Berichte mit auffälligen Abweichungen herauszufiltern, was den Überprüfungsprozess erheblich effizienter gestaltet.

4

Ergebnisse überprüfen und Maßnahmen ergreifen

Überprüfen Sie die von shopfloor.GPT hervorgehobenen Berichte und ergreifen Sie notwendige Maßnahmen basierend auf den Analyseergebnissen. Diese letzte Phase hilft Ihnen, schnell auf potenzielle Probleme zu reagieren und die Wartung Ihrer Anlagen proaktiv zu managen.

Get in touch.

Do you have a project enquiry or just want to say hello? Don't hesitate to contact us - we will be happy to answer you promptly.

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    elunic AG

    Erika-Mann-Str. 23

    80636 Munich

    Germany

    089 / 4161737 - 30

    info@elunic.com

    EN

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            With the shopfloor.io asset ping, you can connect existing machines in the field, record and visualise machine data, distribute digital services and increase your after-sales.

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                                    After the first screening, we will send you an invitation to our Talentcube tool. We have prepared 3-5 short questions that you can answer in a personal video (we have also prepared a short introduction video). If you don't feel comfortable with this, please let us know - we'll find an alternative!

                                    We want to get an authentic first impression of you and at the same time have the opportunity to review your video with our team and make the right decisions quickly.