GIS Model Updates Using Temporary Device Location Data
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Solution Overview
Problem
Maintaining accurate and timely models of large-scale electrical distribution grids is challenging due to frequent temporary configuration modifications and equipment changes, which require regular updates to ensure safe and reliable power delivery.
Innovation Solution
A method and system for automatically updating geographical information system models using real-time location data from uniquely identified temporary devices, involving GPS-enabled mobile devices that acquire and transmit identity indicia and geographical coordinates to update the grid model, ensuring precision and accuracy within specified tolerances.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual updates to GIS models are performed to reflect temporary device installations, then model accuracy can be maintained, but the time and labor required to maintain models increases significantly
Solution Approach 1:
The system enables self-service by automatically detecting temporary devices through GPS coordinates and updating the GIS model without requiring manual intervention. The automated detection and update process eliminates the need for service personnel to manually track and record temporary device installations, thereby maintaining model accuracy while significantly reducing the time and labor required.
Solution Approach 2:
The system implements feedback by continuously monitoring the grid for temporary devices and automatically updating the GIS model when changes are detected. This real-time feedback mechanism ensures the model remains accurate by reflecting current grid conditions, while eliminating the delays associated with manual model updates.
2Reliability
If detailed component models are maintained manually, then safe and reliable power delivery can be ensured, but the complexity of model maintenance increases
Solution Approach 1:
The system reduces maintenance complexity by implementing self-service automation that detects temporary devices and updates the GIS model automatically. This eliminates the need for service personnel to manually track, record, and update detailed component models, thereby maintaining reliability while significantly simplifying the maintenance process.
Solution Approach 2:
The system replaces manual mechanical processes with automated electronic detection and updating. GPS-enabled devices automatically detect temporary installations and transmit data to update the GIS model, substituting manual model maintenance activities with automated electronic processes that reduce complexity while maintaining reliability.
3Productivity
If frequent updates are performed to reflect temporary device changes, then model currency is improved, but the resources required for updates increase
Solution Approach 1:
The system achieves frequent model updates with reduced resource consumption through feedback-driven automated detection. The system continuously monitors the grid for temporary devices and only triggers updates when actual changes are detected, eliminating unnecessary update cycles and associated resource consumption while maintaining model currency.
Solution Approach 2:
The automated system performs updates only when temporary devices are detected, using self-service mechanisms to eliminate wasteful resource expenditure on unnecessary updates. This approach maintains model currency by updating only when needed, while significantly reducing the resources required compared to frequent scheduled manual updates.
Data Source
AI summary
Models of a distribution network grid are automatically updated in response to real-time location data of uniquely identified temporary devices. Current geographical coordinates are determined within a distance tolerance that is selected as a function of a type of device indicated by the identity indicia. The geographical information system model is updated with a location of a unique identity of the device at the determined current geographical coordinates within the distance tolerance if unique identity of the device not already present within the geographical information system model, or if it is present and a displacement distance from the determined current geographical coordinates of the temporary device to existing geographic coordinates that are stored in the geographical information system model in association with the unique device identity exceeds a specified distance margin.