Bus Signal Interpretation via Contactless Tapping and Matrix Reconstruction
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Solution Overview
Problem
Existing methods for evaluating signal data in bus systems require complex reconstruction and are limited by the need for specific interfaces and original equipment manufacturer-provided communication matrices, leading to inefficiencies and vehicle irritation during data access.
Innovation Solution
A method for autonomous identification and interpretation of bus signals, allowing contactless data tapping and storage of learned parameters, messages, and signals, enabling flexible installation and visualization without provoking vehicle reactions, using a device that processes protocol data units from various bus protocols and reconstructs communication matrices independently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If complex reconstruction methods are used to obtain signal data, then measurement precision is improved, but device complexity increases and time consumption increases
Solution Approach 1:
The patent creates a virtual copy of the bus system communication matrix by autonomously learning and reconstructing the communication topology, message formats, and signal interpretations. Instead of requiring physical access to OEM diagnostic interfaces, the system captures raw bus traffic and builds a complete virtual representation that can be queried and analyzed, eliminating the need for complex physical interface connections while maintaining full measurement capability
Solution Approach 2:
The system performs autonomous self-learning of the bus communication matrix without external assistance or predefined configuration. The evaluation device independently captures bus traffic, identifies message structures, learns signal interpretations, and builds the communication matrix automatically. This self-service capability eliminates dependency on OEM-provided diagnostic tools and complex manual reconstruction processes
2Ease of operation
If contactless data tapping is implemented, then ease of operation is improved and vehicle irritation is reduced, but device complexity increases
Solution Approach 1:
The patent replaces physical mechanical connections (diagnostic interfaces, hardware taps, wired connections) with contactless electromagnetic field-based bus tapping. The system monitors bus communication wirelessly or through passive electromagnetic coupling, eliminating the need for physical interface connections to OBD ports or other diagnostic access points. This substitution provides installation flexibility while the automated signal processing algorithms handle the complexity of interpreting the captured data
3Productivity
If autonomous identification and interpretation is performed, then productivity is improved and time to obtain signal data is reduced, but device complexity increases
Solution Approach 1:
The system performs preliminary autonomous learning of the bus communication matrix during an initialization phase, building a complete database of message structures, signal interpretations, and communication topology before actual measurement begins. This preliminary action stores the learned patterns in the evaluation device, enabling rapid subsequent data acquisition without repeated complex analysis. The heavy processing is done once in advance, then the system can quickly query and interpret signals using the pre-built knowledge base
Solution Approach 2:
The patent introduces an intermediate communication matrix structure that acts as a mediator between raw bus traffic and final signal interpretation. The autonomous learning process creates this structured intermediate representation that organizes captured messages, identifies signal patterns, and stores interpretation rules. This intermediary structure simplifies subsequent data acquisition by providing a pre-processed, organized format that requires minimal additional processing to extract meaningful signal data
Data Source
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AI summary
Method (20) for analyzing signal data, characterized by the following features: - a bus signal channel supplies (11) the signal data; - a reference channel supplies (12) reference signal values on which the signal values are based; - on the basis of an interpretable subset of the signal data and the reference signal values, a computer calculates (13) a signal interpretation and reconstructs a signal.