Trailer Fault Code Evaluation for Fleet-Wide Anomaly Detection

The patent combines fault code data from multiple trailers into a centralized database, enabling aggregation and comparison of fault information across the entire fleet. This merging allows the system to identify common patterns and statistical anomalies that would be invisible when analyzing individual trailers in isolation, thus resolving the contradiction between detailed individual analysis and cross-trailer issue identification.

The patent introduces a server as an intermediary component that receives, stores, and processes telematics data from multiple trailers. This centralized server acts as a mediator between the distributed trailers and the analysis functions, enabling group-based analysis without requiring complex peer-to-peer communication or distributed processing across all trailers, thus managing system complexity while improving maintenance efficiency.

The patent performs statistical evaluation and anomaly detection proactively on accumulated fault code data before actual failures occur. By continuously analyzing fault patterns and identifying statistical anomalies in advance, the system enables early detection of potential issues across the fleet, allowing preventive maintenance actions to be taken before problems escalate, thus improving reliability while the processing is distributed over time rather than requiring intensive real-time analysis.