System and method for big data geographic information system discovery
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United States of America Patent
Stats
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Jun 25, 2019
Grant Date -
Sep 8, 2016
app pub date -
Mar 2, 2016
filing date -
Mar 3, 2015
priority date (Note) -
In Force
status (Latency Note)
Importance
Abstract
A system and method for learning and asserting what portions of a utility GIS network model are incorrect or flawed as they relate to real world conditions, and what the correct real world relationships are in the field is described. The system and method leverage available smart grid data to assess the quality of a primary (GIS) source data set; quality data renders derived analyzes across the utility valid, sound, and action worthy. The system and method utilize existing partially correct electrical network distribution model data and various non-specialized source data including smart meter, spatial, and customer information data collected from the network to test, validate and suggest corrections to the connectivity model. By forming putative ground truth assignments between utility components, the system tests the assumptions by examining the geospatial proximity and correlating voltage and event data over time to form refined hypothesis. These hypotheses are compared to the existing model and statistical tests are performed at a variety of confidence levels to propose a corrected network model to the user.
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Patent Citation Ranking
- 1 Citation Count
- G05B Class
- 28.31 % this patent is cited more than
- 6 Age
Maintenance Fees
| Fee | Large entity fee | small entity fee | micro entity fee | due date |
|---|---|---|---|---|
| 7.5 Year Payment | $3600.00 | $1800.00 | $900.00 | Dec 25, 2026 |
| 11.5 Year Payment | $7400.00 | $3700.00 | $1850.00 | Dec 25, 2030 |
