Managing infrastructure-scale point cloud data with LumiDB
National infrastructure operators are generating massive volumes of 3D scan data from drones, mobile scanners, and contractors. This post outlines how LumiDB helps integrate point clouds into GIS, CAD, and BIM workflows as part of a unified digital twin strategy.
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At LumiDB, we’re building a database for reality capture data that makes handling big point cloud datasets easy, accessible and fun. Request access to the private beta to try it out!
National infrastructure operators, like cities, railway companies, and airports, face a growing challenge: integrating vast volumes of point cloud data into digital twin ecosystems. Whether captured by drones, measurement vehicles, or third-party contractors, this data often exists in fragmented formats. It is difficult to access, harder to standardize, and nearly impossible to connect meaningfully with existing GIS, CAD, or BIM systems.
The problem
- Heterogeneous sources: Point clouds originate from multiple providers with varying quality, format, and coordinate systems.
- Siloed data: Information is often trapped in local storage, making it difficult to consolidate or reuse.
- Incompatibility: Existing platforms struggle to harmonize point clouds with structured spatial data in GIS or building models in BIM.
- No single source of truth: Without a centralized system, it's hard to build reliable digital twins or enable cross-team collaboration.
The LumiDB solution
LumiDB helps large infrastructure owners manage, visualize, and integrate point cloud data at scale. For digital twin initiatives, it acts as a connective layer between raw 3D data and enterprise-grade tools.
- Cloud-native platform: Ingest and stream massive point cloud datasets directly via the web browser
- Standards-first design: Interoperable with GIS, CAD, and BIM through open data layers, metadata tagging, and coordinate system support.
- Controlled access: Shareable views with configurable permissions enable secure collaboration with internal teams and external vendors.
- Search and automation: Tag and filter datasets by asset type, timestamp, or region. Use the programming API to automate downstream workflows or trigger integrations.
- Digital twin readiness: Combine historical scans with real-time updates to build a continuously evolving model of national infrastructure.
Impact
With LumiDB, infrastructure operators can transform scattered 3D scans into a reliable operational asset. Instead of treating point clouds as single-use exports, they become part of a living, queryable library that integrates with existing enterprise tools. This supports faster project planning, more accurate maintenance, and better collaboration across engineering, operations, and IT.
LumiDB bridges the gap between physical reality and digital intelligence—at national scale.
Curious to learn more? Book a personal demo.
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