DIGspace Platform

The platform's first layer of value is not algorithms — it is bringing data scattered across devices, software and disciplines into one space.

• Geophysics · ERT inversion volumes / GPR sections / electrode arrays / apparent resistivity
• Borehole logs · CSV import / stratigraphic columns / sampling records / lithology descriptions
• Remote-sensing surface · satellite imagery / orthophoto / oblique photography / DEM terrain
• Engineering drawings · Shapefile / DXF / GeoJSON / coordinate registration
• Monitoring time series · ERT & microtremor / GNSS displacement / water level & rainfall / alert records

Once data enters the platform it is unified into one coordinate system and one 3D scene — surface imagery and terrain and underground inversion volumes aretwo layers in a single space, not two maps someone has to align by eye.
Acquisition parameters, processing chains and interpretation steps are logged end to end; three months later, you can still trace exactly how a figure was produced.

In practice, engineering comes down to four questions. 3D analysis gives each one an evidence base you can stand behind.

Real-time rendering on the VTK engine lets one data volume be examined again and again from six perspectives.

Every step is completed inside one platform — no loose intermediate files, no hand-carrying data across software packages.

The four themes are not parallel topics — store is the foundation, analyze is the core, report is the output, integrate is the future.

A method is not just "being able to open data" — it is a complete loop of import → processing → interpretation → 3D deliverables. Results from different methods land in the same 3D scene, so they can be interpreted together.

ERT adds depth, GPR adds resolution, boreholes provide ground truth — cross-validation across two or more physical fields is what supports a confident conclusion.

Organized along three lines — investigation, monitoring and special-purpose — each scenario covers pain points, solution architecture, method configuration, deliverables and implementation flow.

Not "a few more features" — four things that are hard to get anywhere else, all in one place.

Methods flourish at the top; data speaks one language at the bottom — the core platform stays stable, while capabilities grow as plugins.

The core program does only what is core; every other capability mounts as a plugin — algorithm plugins are added by configuration, with no core changes, no releases, no disruption.

Low-latency access in China and overseas with clear data boundaries and seamless collaboration — three deployment models, one architecture, one experience.