Representing a substation in 3D space using millions of colored points gives very detailed information about the facility and its surroundings.

We acquire dense point clouds by photogrammetry and airborne laser scanning. Measurement and processing are fast, we avoid generalization of measurement, and we minimize measurement errors.

Dense point clouds acquired by laser scanning.

The number of measured points makes the study devoid of generalizations.

Detailed representation of the station area with its surroundings.

The colored point cloud creates a detailed representation of the object.

The point cloud allows you to precisely define all spatial relationships between elements.

Precise mapping of stations is not only the visualization of objects, but the ability to perform spatial analysis: measurements of length, distance, volume.

Dense point clouds are the basis for many studies. Most CAD programs implement this data format and allow to perform studies analyses on them.

POINT CLOUD CHARACTERISTICS:

Point cloud density (LiDAR)	~400 pts/m2
Point cloud density (photogrammetry)	~2500 pts/m2
Accuracy	<3 cm
Data format	LAS / LAZ / E57 / TXT
Color palette	RGB / monochromatic / by elevation
Classification	ASPRS standard
Coordinate System	adapted to project

/ OTHER FROM ENERGETICS

Power lines:

powerlines inventory

– powerlines modeling

– calculating catenary parameters

– powerlines profiles

Electricity stations / traction substations:

Point clouds

/ OTHER FROM ENERGETICS