GIS Automation and Hydraulic Inventory for PIGSS Projects

Water · Sanitation · GIS Engineering

GIS automation and hydraulic inventory for PIGSS projects

We extract hydraulic measurements from 3D manhole models and detect GIS discrepancies to accelerate inventory, modelling, and technical audit workflows.

The Problem

Hydraulic inventories are often slow, manual, and difficult to validate

Water utilities, sanitation operators, GIS teams, and hydraulic engineering firms need reliable manhole and pipe data for modelling, audits, and PIGSS-related projects.

Incomplete GIS inventories

GIS layers may be outdated, incomplete, or inconsistent with the real field geometry.

Manual manhole measurement

Extracting invert levels, pipe diameters, directions, and connections manually is slow and repetitive.

Technical justification

Teams need traceable evidence for levels, diameters, pipe connections, and discrepancies.

The Solution

From 3D manhole models to GIS-ready hydraulic data

We process 3D models or point clouds of drainage manholes, detect the main geometry, unfold the internal wall into 2D, identify pipe openings, and cross-check results against GIS layers.

3D manhole model / point cloud processing
Main chamber geometry detection
2D wall unwrapping for pipe opening detection
DN, invert, crown, direction, and confidence extraction
GIS cross-checking and discrepancy detection
Technical review images and audit evidence

3D Manhole Model

GIS Discrepancy Layer

DNDiameter
InvertSolera
GISCross-check

Deliverables

Technical outputs ready for engineering and GIS workflows

Manhole and pipe CSV

Structured hydraulic parameters for manholes, pipes, openings, levels, and confidence scores.

GeoPackage for GIS

GIS-compatible layers for review, modelling, and integration into existing workflows.

Review images

Visual evidence showing detected geometry, pipe openings, and measurement references.

GIS discrepancy map

Layer showing mismatches between GIS inventory and detected 3D geometry.

PoC report

Technical summary with results, limitations, accuracy observations, and next-step recommendations.

Deployment roadmap

Recommended path from PoC to production workflow for engineering or utility teams.

Recommended PoC

20–50 real manholes + technical validation

The recommended first step is a focused PoC using real 3D manhole data and existing GIS layers. The goal is to validate detection quality, discrepancy value, and workflow fit before scaling.