Redundant Data Stream Selection for Intelligent Electronic Devices
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Solution Overview
Problem
In critical infrastructures like electrical systems, redundant data streams often degrade, making it challenging to select the most accurate and reliable data stream for monitoring and protection, as existing methods lack efficient criteria for differentiation.
Innovation Solution
A data stream selection system and method that compares redundant data streams based on characteristics such as consecutive missing samples, channel noise errors, clock synchronization values, traversal times, and MAC addresses to determine the most reliable stream for selection and use in Intelligent Electronic Devices (IEDs).
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple redundant data streams are used to ensure data arrival, then reliability is improved, but it becomes difficult to select the most accurate stream for monitoring and protection
Solution Approach 1:
The system performs preliminary evaluation of multiple redundant data streams by comparing characteristics such as consecutive missing samples, channel noise errors, clock synchronization values, and traversal times before selecting the most reliable stream. This preliminary assessment ensures that the selected data stream has the highest accuracy while maintaining the reliability benefits of redundancy.
2Device complexity
If existing selection methods are used without efficient differentiation criteria, then device complexity is reduced, but the ability to select the most reliable data stream deteriorates
Solution Approach 1:
The invention introduces multiple evaluation parameters including consecutive missing sample counts, channel noise error counts, clock synchronization values, and traversal time measurements to differentiate between redundant data streams. These parameter comparisons enable reliable selection of the most accurate stream while maintaining manageable system complexity through structured evaluation criteria.
3Measurement precision
If data streams are selected based on multiple characteristics, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The selection process is segmented into distinct evaluation stages, each assessing specific characteristics of the data streams. The system evaluates multiple parameters including consecutive missing samples, channel noise errors, clock synchronization, and traversal times separately, then integrates these assessments to select the most reliable stream. This segmentation manages complexity by breaking down the selection process into manageable, independent evaluation steps.
Data Source
AI summary
The disclosure includes systems and methods for the analysis, comparison, and selection between multiple redundant data streams. The data streams may be analyzed, compared, and/or selected based on the individual number of consecutive data frame losses in a data stream, the number of channel noise errors over a time period in a data stream, the clock synchronization values associated with a data stream, the traversal time of a data stream, and/or a MAC address associated with a data stream.