The Cross Product (TCP) offers 3D inspection tools for railway, highway and industrial infrastructures enabling the improvement of operations, predictive and corrective maintenance, asset management and 2BIM scanning.
- Infrastructure/track maintenance
Automated Clash Detection
We propose an algorithm combining artificial intelligence and business knowledge to accurately recognize potential risks of collision in a railway infrastructure.- Simulate the passage of a wide load or a new model of train in order to identify the risks of collision between a virtual train envelop and its environment.- Optimize preventive maintenance and schedule intervention work according to the respect of clearance and safety distances.
We propose an algorithm combining artificial intelligence and professional knowledge to accurately recognize elements in a railway infrastructure.- Study what exists and automatically recognize the objects that make up the infrastructure.- Allow an accurate inspection of the elements present in the 3D point cloud.- Perform automated infrastructure inventories.
We propose an algorithm combining artificial intelligence and professional knowledge to accurately carry out measurements on a railway infrastructure. Carry out several automated measurements such as:- 3D position of track axis (center line)- Track gauge- Rails superelevation- Twist and Wrap- Horizontal mid-chord offset over 20 m- Vertical mid-chord offset over 20 m- Vertical slope- Distance from running rail to platform edge- Overhead (contact) wire height and stagger- etc…
Automated Reverse Engineering
We propose an algorithm combining artificial intelligence and business knowledge to precisely determine the geometry of a railway axis.- Identify risks and check the conformity of a railway track thanks to a precise analysis of its geometry: horizontal and vertical curvature definitions.- Precisely analyze the condition of the railway infrastructure thanks to automated calculations of slope, curvature, mid-chord offset and superelevation.
We propose an algorithm combining artificial intelligence and professional knowledge to accurately recognize rails, track axis, contact cables, and their positions in 3D space.- Provide an accurate and complete vectorization of rails, overhead wires and platform edges in a 3D point cloud.- Analyze and compare the polylines to study the evolution of the railway infrastructure.- Perform automated calculations: slope, curvature, superelevation, track gauge, wire height and stagger…