Anticipate breakdowns to ensure reliable, high-performance industrial production
In an industrial environment where reliability is an imperative, any unplanned downtime can have major consequences for the performance and safety of operations. It's against this demanding backdrop that Safran Landing Systems, world leader in landing and braking systems, has chosen to strengthen its maintenance strategy by leveraging Industry 4.0 technologies.
The project, based in Villeurbanne, France, mobilizes Equans Digital 's expertise in industrial maintenance, digital solutions and IT & Telecom infrastructures, in partnership with Bouygues Energies & Services - Industrial Maintenance.
The objective is clear: to implement predictive maintenance capable of anticipating malfunctions in critical equipment such as pumps and engines, in order to guarantee production continuity, reduce unplanned shutdowns and optimize industrial performance.
Thanks to this innovative approach, Safran Landing Systems is taking a decisive step towards more reliable, sustainable and competitive production.
Strategic challenges: guaranteeing continuity and anticipating critical breakdowns
In the aerospace industry, the reliability of production systems is an absolute imperative. At Safran Landing Systems, any unplanned downtime can have a major impact on performance, safety and competitiveness. The challenge is therefore to move from a reactive approach to a proactive one, capable of preventing malfunctions before they disrupt the industrial chain. Two priority objectives guide this project:
- Ensure continuity of production by maintaining optimal operation of critical equipment during production hours.
- Anticipate breakdowns to avoid unplanned stoppages, reduce performance losses and secure operations.
To meet this challenge, Safran Landing Systems relies on predictive analysis of equipment data. By transforming vibrations into reliable indicators, we can trigger alerts before breakdowns occur, optimize maintenance and guarantee ever safer, more efficient production.
An IoT and data solution for Industry 4.0
To meet the challenges of industrial reliability and performance, Equans Digital has designed a comprehensive solution based on Industry 4.0 technologies. The aim: to transform equipment data into predictive indicators to anticipate breakdowns and guarantee production continuity.
This solution is based on three key components.
Firstly, intelligent instrumentation, with the installation of 40 IoT (Internet Of Things) sensors on production systems. These sensors analyze the vibrations of mechanical parts and establish a precise vibration profile, enabling anomalies to be detected before they become critical.
Secondly, secure connectivity thanks to the deployment of an outdoor LoRaWAN gateway. This infrastructure ensures reliable, periodic data transmission to a SaaS platform, while guaranteeing the security of exchanges.
Finally, data processing via a digital platform dedicated to Industrie 4.0. This interface provides real-time information, enables thresholds to be set, and triggers predictive alerts. Teams can plan maintenance interventions, reduce unscheduled downtime and optimize costs.
Thanks to this architecture, Safran Landing Systems benefits from continuous monitoring of critical equipment and early detection of anomalies, for more reliable, sustainable and high-performance production.
Concrete benefits for sustainable industrial performance
The implementation of this innovative solution brings significant benefits that are transforming the way Safran Landing Systems manages its industrial operations.
- Reduced machine downtime: Thanks to predictive maintenance, anomalies are detected before they cause a breakdown. This anticipation makes it possible to limit unplanned interruptions and maintain continuous production.
- Optimized scheduling of interventions: Intelligent alerts and configurable thresholds provide clear visibility of equipment status. Teams can then organize interventions proactively, prioritizing actions and optimizing resources.
- Cost control: By reducing the need for emergency repairs and limiting spare parts inventories, the solution contributes to effective budgetary control. Unforeseen expenses linked to unplanned stoppages are considerably reduced.
- Enhanced safety: Prevention of technical incidents reduces the risk of accidents and improves compliance with safety standards. Operators work in a safer, more reliable environment.
- Sustainable performance: By maintaining optimum yields and extending equipment life, the solution guarantees long-term industrial performance. It is part of a long-term approach to reliability and competitiveness.
Project progress: a rigorous methodology for successful implementation
To guarantee the reliability and performance of the solution, the project was structured around a clear methodology, punctuated by key milestones. Each phase was designed to ensure optimal integration of IoT and data technologies into Safran Landing Systems' industrial environment.
The first stage, design and contractualization, involved technical studies and project scoping. This phase defined the IoT architecture, LoRaWAN coverage and data analytics requirements.
Next, the installation and integration phase marked the deployment of the 40 IoT sensors and the LoRaWAN outdoor gateway, ensuring that the equipment was in place on critical systems.
The third stage, connection and parameterization, involved integrating data into the SaaS (Software as a Service) platform and configuring alert thresholds. This phase prepared the system for predictive monitoring.
The testing and validation phase was then devoted to performance testing and calibration of detection algorithms, with the aim of confirming the reliability of indicators and alerts.
Finally, commissioning marked the start of operations, accompanied by team training to ensure optimum use of the solution.
Thanks to this structured approach, Safran Landing Systems benefits from a robust, integrated solution that is ready to transform industrial maintenance into a genuine performance driver.