In Brief
In partnership with other industrial and technological players, Pepps is working on the development of a connected rolling mill cylinder. The ambition is twofold :
- to strengthen the performance and reliability of these critical pieces of equipment,
- to enable the cylinder manufacturer to evolve its offering towards a servitisation model.
The challenge
Anticipating critical failures in rolling mills through data and IoT
In the steel industry, rolling mill cylinders are essential components subjected to extreme mechanical and thermal stress. These repeated loads can lead to critical failures, causing unplanned downtime, unexpected maintenance costs and significant productivity losses.
- The objective of the project is to connect these critical pieces of equipment, ensure continuous monitoring of their condition, and anticipate anomalies before they escalate into major incidents.
The mission
A connected solution for continuous monitoring of rolling mill cylinder condition
By combining IoT sensors, a cloud platform and advanced data analytics, this R&D project paves the way for a new generation of cylinders capable of anticipating anomalies, optimising lifespan and delivering innovative services to end users beyond the physical product.
- IoT sensors precisely measure the temperature, vibrations and wear of the cylinders.
- This data is transmitted to a secure cloud platform accessible at any time, and a predictive analysis model identifies weak signals, detects deviations and triggers targeted alerts.
- Custom dashboards provide technical teams with a clear view of the condition of each cylinder.
- This solution also prepares the company to shift towards a servitisation model, where data becomes a lever to sell performance rather than simply equipment.
The impacts
The benefits of predictive maintenance with Pepps
Reduced unplanned downtime
Teams can act before a failure causes production stoppage, improving the reliability of critical equipment.
Better planned and structured maintenance
Interventions are scheduled with greater clarity and less urgency. Dashboards provide reliable indicators to guide technical decisions.
Towards a sustainable performance model
The solution paves the way for a usage- and availability-based model, where data becomes a lever to enhance strategy and sell performance rather than equipment.
Technologies
Technologies used for industrial predictive maintenance
Front-End
- Custom business dashboards accessible remotely
Back-End
- Secure cloud platform for data collection and analysis
- Time-series analysis applied to sensor data
Other
- IoT sensors measuring temperature, vibrations and wear
- Integration into existing industrial environments
- Industrial data science tools for weak-signal detection
Why choose Pepps for your predictive maintenance projects ?
Pepps brings together IoT specialists, data scientists and maintenance experts to design solutions tailored to critical environments.
Our systems combine smart sensors, secure cloud infrastructure and data analysis to support industrial players in their transition to predictive maintenance.
Through our data-driven approaches, we help industrial companies reduce unplanned downtime, extend equipment lifespan and strengthen operational reliability.
Beyond technology, Pepps supports its clients at every step, from needs analysis to full operational deployment.
Need to anticipate failures on your production lines ?
Votre activité repose sur des équipements critiques ? Vous travaillez dans la sidérurgie, la métallurgie ou un autre secteur industriel sensible ? Pepps comprend vos contraintes. Notre équipe conçoit des solutions sur mesure pour suivre vos actifs, éviter les pannes et améliorer votre performance industrielle.
Nous vous aidons à mettre en place une stratégie claire pour moderniser votre maintenance. Vous bénéficiez d’une solution fiable, évolutive et adaptée à vos enjeux.