Geometric Validation: Key to simplified Utility Network Migration

Geometric Validation plays a vital role in ensuring the smooth migration from Geometric Network to Utility Network architectures. The two architectures handle geometry errors differently, making the detection and correction of these errors important for a smooth and successful transition.

In the Geometric Network architecture, tracing and analysis are possible with the existence of low-level geometry errors. The Utility Network architecture, most geometry errors create a Dirty Area. To establish Utility Network subnetworks, it becomes necessary to clear all Dirty Areas in the network topology. It is important to detect and correct these issues well before they become Dirty Areas in the Utility Network.

GeoData Sentry offers several tests that validate feature geometry.  These tests can be run on your current production geodatabases to detect these errors and proactively make corrections prior to migration.

  • Duplicate Geometry Validation – detects duplicate geometries for junctions and edges.
  • Duplicate Vertex Validation – detects duplicated vertices for edges.
  • Overshoot/Undershoot Validation – detects small gaps, undershoots, or overshoots between edges.
  • Overlapping Edge Validation – detects overlap between edges, both within a feature class and between feature classes.
  • Intersect Validation – detects where junctions do not intersect with edges.
  • Invalid Geometry Validation – detects 13 different types of invalid geometry.
  • Disconnected Edge Detection – detects edges that do not connect to any other edge. These orphan edges will become untraceable features in the Utility Network.
  • Cutback Validation – detects where an edge cuts back at an acute angle creating jagged geometries.
  • Minimum Feature Length Validation – detects edges that fall below a user-defined feature length threshold that may present as nearly zero-length edges.

The significance of identifying and rectifying geometry errors cannot be emphasized enough. Each of these tests is designed to detect problems that create Dirty Areas, ultimately hampering subnetwork creation and restricting the full utilization of advanced Utility Network functions. By taking proactive steps to resolve errors, utilities can streamline the migration process and establish an accurate Utility Network right from the outset.

Need some help with your data validation? Learn more about Geodata Sentry, or reach out today—we’re happy to help!

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