Frequently asked questions

Digital Grid is Quantiscan's editable utility network model built from LiDAR. It connects poles, spans, wires, crossarms, attachments, analysis results, reports, and export data in one reviewable workflow.

The default workflow starts from the point cloud. Users extract and refine utility assets directly from LiDAR, then use optional project context such as GIS linework or rough pole locations when that data already exists.

It models poles, towers, spans, wires, crossarms, service wires, guy wires, street lights, transformers, pole IDs, attachment state, and analysis overlays.

No. Digital Grid can extract from the point cloud directly. GIS lines, planned spans, or rough pole locations are optional inputs that can guide and speed up pole and wire extraction when they already exist.

Imported linework or rough span layouts give Quantiscan a starting model for where poles and wires should be. The extraction still runs against the LiDAR, but the search is anchored to real project context instead of starting every span from scratch.

Yes. Digital Grid is designed for automation with review. Users can refine poles, wire endpoints, lower-level wires, attachments, crossarms, and related attributes after extraction.

Digital Grid is built for utility point clouds from terrestrial, mobile, drone, and low-altitude manned acquisition. COPC is the preferred streaming format for large point clouds.

Digital Grid keeps pole, span, lower-level communications detail, existing attachment context, make-ready evidence, reports, and exports tied to the LiDAR model so broadband and utility teams can review the same source of truth.

BEAD-style broadband deployment work often needs fast pole-by-pole context for planning, make-ready, attachment review, and engineering handoff. Digital Grid helps organize that evidence from LiDAR instead of scattering it across screenshots, spreadsheets, and disconnected GIS layers.

No. Digital Grid is meant to accelerate extraction, measurement, review, and handoff. Engineering teams still own final design, make-ready decisions, and pole-loading judgment.

Digital Grid analysis includes vegetation clearance, configurable clearance tables, load-case sag prediction, wind blowout, and per-span or per-wire reporting.

Yes. Lower-level extraction and refinement workflows help review distribution and communications wires that need more control than a first-pass pole-and-span extraction.

Users can step through span endpoints, refine attachment positions, assign attachment types, and keep review state tied to the wire model for downstream reports and exports.

Exports include SPIDAcalc exchange packages, DXF, GeoJSON, KML, KMZ, CSV, sectioned pole reports, thermal reports, and reverse-classified point clouds.

Yes. Digital Grid export workflows include coordinate transformation controls for CAD and GIS deliverables where a target horizontal or vertical EPSG is required.

Reverse classification uses the Digital Grid vectors to classify points back into the point cloud, so extracted utility assets can become point-cloud classes for cleanup, visualization, or downstream processing.

The fastest path is a demo call, Discord, or email. The team reviews requests directly around real utility, joint-use, and engineering workflows.