Finanzauto implements advanced maintenance systems and reduces costs by integrating J1939 communication protocols
Company
Official distributor in Spain of Caterpillar, the global leader in earthmoving machinery and energy solutions.
Finanzauto sought to optimize the monitoring of its engines and generators by implementing an intelligent platform capable of integrating advanced communication with its industrial assets, ensuring efficiency, reliability, and reduced operational costs.
Challenge
To implement a centralized system capable of monitoring all engines installed in its generators, integrating the J1939 communication protocol to enable direct asset connection to Dragsa via a CAN network.
The main objective was to reduce costs associated with additional hardware required for data acquisition, without compromising monitoring reliability or quality.
Problem
- High dependency on intermediary devices: Communication between engines and control systems required additional hardware, increasing installation and maintenance costs.
- Lack of standard protocol integration: The absence of J1939 protocol support prevented direct communication with engines, limiting traceability and monitoring efficiency.
- Difficulty interpreting operational data: Existing systems could not natively process engine-generated data, reducing analytical capabilities and fault prediction accuracy.
- High operational costs: Frequent maintenance requirements and limited digitalization increased operating expenses and slowed incident detection.
Solution
How we do it?
Dragsa was integrated as an advanced monitoring platform with native support for the J1939 protocol, enabling direct communication with generators via the CAN network.
- Full integration without additional hardware: Dragsa interprets and digitalizes engine data without requiring client-side modifications, optimizing installation and reducing costs.
- Intelligent and predictive monitoring: The platform processes operational data in real time, enabling early error detection and prediction of potential mechanical failures.
- Advanced data and alarm management: Data export systems, interactive dashboards, and a customizable alarm manager were implemented, ensuring more agile and precise supervision.
Results
- Full digitalization of the monitoring system with access to dynamic and configurable dashboards.
- Significant reduction in installation and maintenance costs.
- Improved early detection of engine errors and potential failures.
- Optimized predictive maintenance, reducing unplanned downtime.
- Greater operational efficiency and comprehensive control of energy assets.