Visualizing Anomalous Data in MIL-STD Message Streams
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Solution Overview
Problem
There is a need for a device that can read, parse, and display messages using the MIL-STD-1553 and MIL-STD-1760 interfaces, as well as analyze UAI signals, provide a graphical user interface for in-depth analysis, and present analysis information in a human-readable format.
Innovation Solution
A method for analyzing digital data involves receiving raw data, encoding it into event data stored in a standard file format, parsing the event data using a data communication interface standard, and providing a visual representation of the parsed data. This method supports multiple interfaces, including MIL-STD-1553 and MIL-STD-1760, and allows for error identification and visualization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If raw digital data from MIL-STD-1553 and MIL-STD-1760 interfaces is analyzed using traditional methods, then debugging and error identification can be performed, but the process is time-consuming and requires manual translation of raw bus captures into meaningful insights
Solution Approach 1:
The system performs preliminary encoding of raw digital data into event data in a standard file format (XML) before analysis. This pre-processing step structures the raw data into a standardized format with timestamps and event types, making subsequent parsing and visualization faster and more efficient without requiring manual translation during debugging sessions
Solution Approach 2:
The patent introduces an intermediary processing layer that includes an encoder and parser. The encoder converts raw binary data into structured XML event data, and the parser translates this intermediate format into human-readable visual representations. This intermediary layer automates the translation process that previously required manual intervention, significantly reducing debugging time while maintaining systematic analysis
2Adaptability or versatility
If multiple data communication interface standards (MIL-STD-1553, MIL-STD-1760, UAI) are supported, then versatility and adaptability are improved, but device complexity increases
Solution Approach 1:
The system is designed with multi-functional capability to support multiple data communication interface standards including MIL-STD-1553, MIL-STD-1760, and UAI. The encoder and parser are configured to handle different interface protocols through standardized processing steps: receiving raw data, encoding into XML format with interface-specific parsing rules, and generating unified visual representations. This universal approach allows the same core system to adapt to various interfaces without requiring separate analysis tools for each standard
Solution Approach 2:
The system manages complexity by changing parameters rather than structure when supporting multiple interfaces. The encoder and parser adjust their operation based on the detected interface type, modifying encoding rules, data field interpretations, and visualization parameters dynamically. This allows the core architecture to remain simple while adapting to different interface requirements through parameter adjustments rather than structural changes
3Ease of operation
If visual representation and filtering capabilities are provided for parsed event data, then ease of operation and data understanding are improved, but device complexity increases
Solution Approach 1:
The visual representation system segments parsed event data into distinct categories including timestamps, message types, and field values. The parser organizes XML data into structured elements that can be independently filtered and displayed. This segmentation allows users to easily navigate and analyze specific aspects of the data stream without being overwhelmed by the complete raw data set, improving ease of operation through organized presentation
Solution Approach 2:
The patent employs an intermediary visualization layer that sits between the parsed XML data and the user interface. This intermediary component automatically generates human-readable visual representations from the structured XML, applying filtering and formatting rules to present data in an easily digestible format. This automation reduces the complexity burden on the user, as the system handles the complex tasks of data organization and presentation while providing simple, intuitive controls for data exploration
Data Source
AI summary
A method for analyzing digital data including the steps of: (1) receiving raw digital data; (2) encoding the raw digital data into event data stored in a standard file format; (3) utilizing a data communication interface standard to parse the event data into parsed event data stored in the standard file format; and (4) providing a visual representation of the parsed event data.