Detecting Electric Meter Mismappings via Voltage Correlation
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Solution Overview
Problem
Electric distribution grid records are prone to errors due to manual entry issues and are difficult to verify accurately, especially during restoration efforts after events like storms, leading to mismappings in connectivity models.
Innovation Solution
A system utilizing hourly voltage data from smart meters to identify mismappings by correlating voltage data between geographically related meters, employing a computing system with mapping and analysis logic to generate mismapping metrics and correct connectivity model entries.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual entry methods are used to record component connections, then ease of operation is improved, but reliability deteriorates due to errors from incorrect entries
Solution Approach 1:
The patent replaces manual mechanical entry methods with automated electronic data collection systems. Field service workers use mobile devices to input connection data, which is then automatically processed and stored in the connectivity model, eliminating manual transcription errors while maintaining ease of operation.
Solution Approach 2:
The system implements automated validation and verification mechanisms that provide immediate feedback on data entry errors. The system cross-references entered connection data with existing records and geographic information to detect inconsistencies, alerting workers to correct errors before final submission.
2Productivity
If field service workers from different utility companies assist with restoration, then productivity is improved, but reliability deteriorates due to lack of knowledge about proper entry protocols and local geography
Solution Approach 1:
The system creates a universal data entry interface that works for workers from any utility company. The standardized mobile application provides consistent protocols and validation rules that work across different organizations, while automatically adapting to local geographic contexts through integration with existing connectivity models.
Solution Approach 2:
The system enables workers to self-validate their data entries through built-in guidance and error detection features. The mobile application provides real-time feedback and automated correction suggestions, allowing workers to independently ensure data accuracy without requiring specialized knowledge of local protocols.
3Measurement precision
If manual comparison of records against onsite survey is performed, then measurement precision is improved, but productivity deteriorates due to tedious and time-consuming process
Solution Approach 1:
The patent replaces manual comparison processes with automated electronic verification systems. The system automatically compares recorded connection data with actual field measurements captured by mobile devices, using algorithms to detect mismappings between the connectivity model and physical reality, thereby maintaining precision while dramatically increasing verification speed.
Solution Approach 2:
The system introduces an automated data processing intermediary that mediates between field measurements and the connectivity model. This intermediary layer performs automated reconciliation and detection of mismappings, eliminating the need for tedious manual comparison while preserving measurement precision.
4Ease of operation
If electronic records are maintained for component connections, then ease of operation is improved for tracking, but reliability deteriorates due to prone to errors
Solution Approach 1:
The system implements continuous automated validation feedback loops that monitor data quality in real-time. The connectivity model is automatically cross-checked against field measurement data, and discrepancies trigger alerts for correction, ensuring high reliability while maintaining ease of electronic tracking and updates.
Data Source
AI summary
Systems, methods, and other embodiments associated with identifying mismappings of electric meters using voltage data are described. In one embodiment, a method includes selecting an electric meter from a plurality of electric meters represented in a connectivity model. The connectivity model is an electronic data structure that specifies information about connections between the plurality of electric meters and transformers in an electric distribution grid. The example method may also include analyzing mismapping metrics that characterize voltage data about the selected electric meter in relation to a set of electric meters that are geographically related to the selected electric meter to determine whether the connectivity model includes a mismapping of the selected electric meter.