| Customization: | Available |
|---|---|
| Technology: | Optical Borehole Televiewer Camera |
| Style: | Optical Borehole Televiewer Camera |
Suppliers with verified business licenses
Audited by an independent third-party inspection agency
In the modern geotechnical landscape, isolated measurements no longer suffice. The GD-C1201 Intelligent Drillhole Optical Imager stands as a synergistic data fusion platform, seamlessly integrating optical imagery, depth encoding, and orientation sensing into a unified intelligence stream. This system transforms raw borehole data into actionable geological knowledge by eliminating the fragmentation that plagues conventional logging methods.
The Fusion Advantage: Conventional approaches treat images, depths, and directions as separate datasets requiring manual correlation-a process prone to misalignment and interpretive error. The GD-C1201 overcomes this by synchronizing all three data dimensions at the hardware level. As the probe descends, a high-resolution CCD sensor captures continuous imagery while a photoelectric encoder records depth pulses and a triaxial electronic compass logs azimuth and tilt. An onboard ARM+DSP processor merges these streams in real time, producing a georeferenced digital core where every pixel carries inherent depth and orientation metadata. This fusion enables direct structural measurements without post-processing guesswork, delivering fracture dip and strike angles with 0.1° accuracy directly from the software interface.
Multi-Layer Data Architecture: The TENSENSE2010 software platform leverages this fused data structure to provide hierarchical analytical capabilities. Users can view the planar development chart for fracture trace mapping, switch to the 3D histogram for spatial visualization, and overlay lithology attribute sheets for integrated interpretation. The database management system stores all observations-crack widths, orientation measurements, lithological boundaries-in a searchable, exportable format. This architecture supports long-term project archiving, allowing engineers to revisit raw data years later and extract new measurements using updated analysis protocols without re-running the probe.
Technical Specifications: The Fusion Architecture
| Integrated Component | Core Technical Parameter | Synergistic Benefit |
|---|---|---|
| Optical Subsystem | 1.34MP CCD, 700 TV lines, 0.1mm resolution, 0.1 Lux sensitivity | Captures forensic-grade texture and color for lithological identification and micro-fracture detection |
| Depth Subsystem | Photoelectric encoder, 0.1mm resolution, 1500m range, pulse distance calibration | Provides sub-millimeter positioning for precise feature depth tagging and interval correlation |
| Orientation Subsystem | Triaxial fluxgate compass, 0.1° azimuth accuracy, ±90° tilt range | Enables true three-dimensional structural mapping independent of probe rotation |
| Processing Core | ARM11 + DSP dual processor, real-time stitching, onboard storage (16GB CF) | Delivers instant data fusion without external computing, eliminating field laptop dependency |
| Software Environment | TENSENSE2010 with database, WYSIWYG output, PDF/JPG/Excel export | Transforms fused raw data into publication-ready deliverables with complete audit trails |
Application Scenarios: In structural geology studies, the fused dataset allows researchers to build discrete fracture network (DFN) models directly from borehole observations, quantifying fracture intensity and connectivity. For geotechnical site characterization, the integrated depth-orientation-imaging capability enables automated rock mass rating (RMR) calculations by providing direct inputs for fracture spacing, orientation adjustment factors, and weathering descriptions. In mineral exploration, the system supports grade control and resource modeling by delivering precisely located visual data on vein geometry and alteration halos, reducing misclassification between ore and waste.
The Professional's Verdict: The GD-C1201's data fusion architecture represents a fundamental advancement in subsurface observation science. By eliminating the manual correlation step, it reduces human error, accelerates interpretation, and ensures that every measurement rests on a verifiable, repeatable foundation. For organizations seeking to move from qualitative observation to quantitative analysis, this system provides the essential technological platform.