Vehicle Data Visualization for Multi-Source Run Diagnostics
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Solution Overview
Problem
Current systems lack an efficient method to visualize and analyze the output of sensors and software components during a vehicle run, making it difficult to diagnose and debug operations effectively.
Innovation Solution
A system comprising a client and server architecture that aggregates vehicle data, allowing user interfaces to request and display vehicle diagnostics, log data, and video data in a hierarchical and intuitive manner, enabling efficient visualization and analysis of vehicle operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If vehicle data from multiple sensors and software components is collected and visualized during a vehicle run, then the comprehensiveness of diagnosis and debugging is improved, but the complexity of the visualization system increases
Solution Approach 1:
The system segments vehicle data into distinct categories (sensor data, software component output, diagnostic information) and processes each category separately through dedicated modules before integrating them in the unified user interface. This segmentation allows comprehensive data collection while managing system complexity through modular architecture.
Solution Approach 2:
The patent introduces intermediary processing layers that aggregate and standardize data from multiple sensors and software components before presentation. These intermediaries (data processing modules, aggregation layers) mediate between the complex data sources and the user interface, reducing the perceived complexity while maintaining comprehensive diagnostic capability.
2Loss of information
If detailed vehicle diagnostic data and log data are displayed simultaneously, then the information completeness for debugging is improved, but the ease of operation deteriorates due to information overload
Solution Approach 1:
The user interface is segmented into multiple organized panels and sections, each displaying specific types of vehicle data (sensor readings, software logs, diagnostic codes). This segmentation allows comprehensive information display while maintaining usability through structured presentation and selective visibility of different data categories.
Solution Approach 2:
The visualization system employs dynamic display capabilities where the user interface can adaptively show or hide different data elements based on user interactions, vehicle run state, and diagnostic priorities. This dynamic behavior allows complete information availability while maintaining ease of operation through on-demand information presentation.
Data Source
AI summary
Techniques and systems for testing, evaluating and/or otherwise assessing the operation of vehicles are discussed herein. Aspects relate to a system and method comprising: receiving user interface configuration data; deriving therefrom a user interface configuration for a set of widgets; for each widget in the set of widgets, sending a request for a subset of data items of each of a plurality of data topics associated with a corresponding plurality of vehicle components, each said data topic being derived from a vehicle logging system and being associated with the vehicle run; receiving the requested subset of data items of each of the plurality of data topics for the vehicle run; and displaying, in a user interface comprising the set of widgets configured in accordance with the user interface configuration data, a visualization based on the subset of data items of the plurality of data topics for the vehicle run.