OAAS designed a real-time IoT platform for monitoring tire wear across vehicle fleets. The solution combines specialized measurement equipment, a structured tire database and an estimation algorithm in a secure customer portal.
Why ?
Why digitize tire wear monitoring?
Tire wear has a direct impact on safety, maintenance costs and fleet availability. The client had developed a dedicated measurement device and an algorithm, but needed a reliable platform to turn those measurements into operational information.
The project therefore had to connect field equipment, store measurements and make wear estimates usable by fleet managers.
Your benefits
OAAS relies on a proven technical foundation: device or data management, collection, dashboards, alerts, security and automation. You save development time and focus your effort on business needs.
Instead of rebuilding a complete solution for every project, OAAS relies on a scalable technical foundation that can adapt to different uses, industries and field constraints.
All elements are monitored from a single interface. Teams can review status, latest data and configuration without multiplying tools.
Field data is collected, historized and transformed into understandable indicators. The goal is not only to store measurements, but to make them useful for decisions and actions.
Clear specifications, controlled testing and close collaboration keep delivery focused, testable and aligned with the real needs of the field.
How ?
How was the platform built?
OAAS first created the data acquisition layer used to retrieve measurements from the specialized tire-wear tool. Incoming records were timestamped and processed as soon as they reached the platform.
A tire-reference database was then introduced to manage the diversity of models and characteristics, and the wear-estimation algorithm was integrated to produce real-time results.
What ?
What was delivered?
The application was developed with Django and web technologies, then hosted and operated by OAAS between 2019 and 2022.
Its architecture was designed to support high volumes of measurements while keeping acquisition, processing and customer consultation responsive.
Conclusion
Conclusion
The project gave customers a safer and more consistent way to monitor tire condition across their fleets.
By combining connected measurements, reference data and real-time processing, the platform transformed a specialized device into a complete fleet-maintenance service.
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