Custom QGIS development for intelligent smart city operations, with unified geospatial intelligence.
A leading smart city authority needed a customized geospatial platform to improve urban planning, infrastructure monitoring, and public service coordination. Aeologic developed a custom QGIS solution integrating city infrastructure, IoT sensor data, and operational workflows into a unified GIS platform for real-time spatial intelligence and data-driven city operations.
In short
Aeologic built a custom QGIS platform for smart city operations, integrating city infrastructure, IoT sensor data, spatial intelligence, and operational workflows into one unified GIS environment. The solution provided real-time monitoring, faster incident response, and data-driven urban operations across multiple jurisdictions.
- Client Smart City Operations Authority
- Problem Fragmented GIS systems and disconnected urban data
- Solution Custom QGIS platform + integrated sensor data + spatial intelligence
- Scale 260+ city assets mapped across smart city operations
Fragmented GIS systems couldn't keep up with real-time smart city operations across multiple jurisdictions.
Smart city operations depended on fragmented GIS systems and disconnected urban data. A network of 140 signalized intersections used legacy sensors and siloed camera feeds, while traffic engineers adjusted signal timing manually from historical patterns. Incident response often depended on phone reports from field teams, creating delayed visibility and making it difficult to coordinate operations across jurisdictions.
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Intersection, incident, and traffic data managed through disconnected systems and workflows
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No unified, real-time view across intersections or jurisdictions
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Delayed response and limited visibility across urban infrastructure and traffic operations
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Multiple jurisdictions — no shared operational GIS view
What the deployment had to achieve.
Unify fragmented GIS and urban data through a custom QGIS platform.
Enable real-time monitoring of infrastructure, incidents, and traffic conditions.
Improve incident response through spatial intelligence and automated anomaly detection.
Support multiple jurisdictions and operational workflows without replacing existing sensors.
Create a scalable GIS foundation for data-driven urban planning and city operations.
A custom QGIS platform built for smart city operations — integrating urban data, spatial intelligence, and operational workflows into one unified live view.
City infrastructure & GIS data
City infrastructure, GIS layers, and operational data are brought together in a common geospatial environment for consistent mapping and monitoring.
Spatial intelligence & monitoring
Sensor and operational feeds are normalized for spatial analysis, monitoring, anomaly detection, and coordinated response across city operations.
Urban planning & city operations
City data feeds one QGIS platform — a consolidated operational view supporting resource management, incident response, and data-driven urban planning.
Real-time GIS monitoring
Live infrastructure and operational data are brought into a unified GIS view, helping teams identify changes, anomalies, and incidents faster.
Integrated city data
Infrastructure, IoT sensor feeds, and operational workflows are integrated into a common QGIS environment without requiring a one-size-fits-all operating model.
Unified operations view
GIS operations data rolls up into one live platform, giving urban teams a consolidated view of infrastructure, incidents, and operational conditions.
Scalable geospatial architecture
The architecture is designed to work with existing city data sources and sensor infrastructure while supporting scalable geospatial applications and future expansion.
Four specific problems, four specific fixes.
Connecting fragmented urban data
Existing GIS and operational data was fragmented across systems, limiting a unified real-time view.
Custom QGIS integration
We integrated existing infrastructure, IoT sensor feeds, and operational workflows into a unified GIS platform.
Coordinating multiple jurisdictions and data sources
Multiple jurisdictions and systems required a shared geospatial operating model without replacing existing hardware.
Integrated city datas, one platform
We created a configurable QGIS platform that brings city infrastructure, sensor data, and operational workflows into one view.
Monitoring city conditions in real time
Manual monitoring and delayed reports made it difficult to identify incidents and changing traffic conditions quickly.
Spatial intelligence & monitoring, combined
The GIS operations map provides a live view of intersections with automatic anomaly flags and rerouting support.
Turning disconnected data into one source of truth
Urban infrastructure and operational data generated across multiple jurisdictions needed a single source of truth.
Unified operations view platform
We built a centralized QGIS platform that aggregates geospatial and operational data into one live view.
"Integrating existing infrastructure and disconnected data sources required a configurable GIS platform. Aeologic unified city data, spatial intelligence, and operational workflows in one QGIS environment."
From fragmented urban data to one real-time geospatial source of truth.
27% faster operational decisions through unified spatial intelligence and monitoring.
31% higher service efficiency through integrated city data and operational workflows.
260+ city assets mapped within the unified geospatial operating environment.
11-week pilot-to-production path for the custom QGIS geospatial platform.
One GIS platform, connected city data, real-time urban intelligence.
The custom QGIS solution replaced fragmented GIS workflows with a unified, real-time geospatial environment for smart city operations. By integrating city infrastructure, IoT sensor data, spatial intelligence, and operational workflows, the platform improved incident response, supported adaptive traffic management, and created a scalable foundation for data-driven urban operations.
Common questions about this QGIS deployment.
Find quick answers to the most common questions about custom QGIS development for smart city operations.
What is custom QGIS development for smart cities?
Custom QGIS development creates a configurable geospatial platform around the data, workflows, maps, and operational requirements of a smart city. It can bring infrastructure, IoT sensor feeds, spatial intelligence, and operational processes into one GIS environment.
Can QGIS integrate with existing city sensors and systems?
Yes. A QGIS platform can integrate existing infrastructure and data sources through APIs, databases, GIS services, and normalized sensor feeds. This allows cities to build on existing systems rather than replacing every underlying component.
How does a QGIS platform improve smart city operations?
A unified GIS view can help operational teams monitor infrastructure, identify anomalies, coordinate incidents, analyze spatial patterns, and make data-driven decisions from a common source of truth.
What technologies can be used with custom QGIS development?
A smart city QGIS solution can use QGIS with PostgreSQL/PostGIS, GeoServer, Python, OpenLayers, REST APIs, and other spatial or data-processing components based on the operational requirements.
Managing fragmented city data and disconnected GIS systems?
Our architects will map a practical QGIS pilot for your operation — data integration, spatial workflows, and a unified GIS view — starting with a working pilot, not a slide deck.
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