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Predictive maintenance for transmission systems
Extended service life of TraXon transmission system with predictive maintenance
ZF Friedrichshafen AG uses predictive maintenance to continuously process and visualise data (such as ZF Ecofluid M transmission oil or ZF Sachs clutch) from the automated transmission TraXon through the ZF IoT cloud and to analyse the transmission KPIs. The goal is to extend the service life of the transmission.
+49 7541 70078-767Cloud-based solutions for monitoring transmission data
ZF Friedrichshafen AG is a leading global technology group in driveline and chassis technology and supplies systems for the mobility of passenger cars, commercial vehicles and industrial technology. The digital transformation has leveraged the company to develop new and innovative business ideas. As a strategic partner, doubleSlash helps to establish future-oriented technologies for IoT and cloud computing.
During the production of the ZF TraXon transmission system, forecasts, analyses and reporting of transmission data are performed using technical and cloud-based connections. The TraXon transmission is therefore equipped with a transmitter device for permanent transmission of data to the ZF IoT cloud. Data transformation, storage and processing all take place within the ZF IoT cloud. The transmission KPIs are visualised and analysed in a dashboard.
By connecting the transmission to the ZF IoT cloud, ZF is able to read and analyse the transmission data even before maintenance. The backend developed by doubleSlash presents the transmission data automatically, quickly and reliably in the frontend, ensuring optimal analysis results.
Predictive maintenance for a longer service life and failure avoidance
Using predictive maintenance, the data from the ZF TraXon transmission can be retrieved not only during maintenance but also during normal operation. The TraXon transmission KPIs are transformed, processed and evaluated using cloud-based technologies. A longer service life can be secured for wear parts based on the service life predictions. What’s more, the service life of the transmission oil and clutch is forecast using an integrated Analytics API. Standstills and downtimes are also detected at an early stage and optimum maintenance periods are derived.
Industry knowledge and years of IoT expertise for innovative and intelligent predictive maintenance
As an agile software partner, doubleSlash provided ZF Friedrichshafen AG with extensive consulting services throughout the project.
We were involved in preparing TraXon for intelligent networking with other vehicle systems – right from design, project management and backend development through to data visualisation and frontend development. Scrum was used for an iterative approach to product development.
Our services:
- Agile project management
- IoT architecture
- Agile software development
- IoT backend development
- Frontend development
- Data visualisation
- Design and functionality
- Testing
- Analytics evaluations
Technologies used:
Azure (Key Vault, Azure AD, Event Grid, Application Insights, Function App, Cosmos DB, Logic App, Redis Cache, Blob Storage)
Python
C#
- GraphQL
Power BI
