Ris MF Hi-Mod

The Ris Hi-Mod is the ideal system for pre-construction survey work and sub-surface mapping. With an adjustable antenna array of between 1 and 4 dual antenna carts the Ris Hi-Mod can go anywhere and achieve a mapping speed of up to 3500 square meters per day. GRED processing software offers a variety of visualisation options, 2D line scans and slice views, 3D anotations and export to a variety of popular CAD systems.

Applications

Detailed utility and emedment mapping
Annotation of subsurface features to existing CAD drawings
Pre-work survey for conventional or "No-Dig" excavation

Features

FastWave Radar Control Unit
Chain architecture;
Multifrequency antennas;
Trolley: Robust and All terrain;
2D and 3D tomography:
Multifrequency data fusion;
Automatic transfer to CAD/GIS
High productivity: 3500 sqm / day
Automatic detection tools for high productivity.
High penetration depth
Highly modular array structure suitable for use in both narrow passages and open space
Easily mounted and reconfigurable in the field
Can be used on all terrains: asphalt, grass and rough terrains

Technical Specifications

4 Dual frequency antennas (200 MHz and 600 MHz). This offers two penetration depths with higher resolution in the shallower scan. Total depth up to 9m.
2 m wide Antenna Array for 3D mapping (with 4 antenna option)
Modular design suited to urban environment and narrow passages
High productivity post-processing software
CAD/GIS automatic rendering

Data Collection

Data is collected in two directions, this is due to the fact that GPR information is polar i.e. a GPR scan only picks up a utility travelling in a perpendicular direction to the scan. By scanning in two directions i.e. Longitudinal and transverse, targets in both directions are located.

The distance between and the overall length of the longitudinal and transverse scans determines the quality of the finished image. There is a trade-off between the time taken for scanning and the quality of the finished product. A happy medium is attempted to provide useable data.