BUSINESS CASE

TIC lead time : x20 quicker

Predictive Maintenance applied to Rail

All along rail roads, poles, which are supporting catenarys supplying electricity to TGVs (high speed trains), are being displaced. As part of a Testing, Inspection and Certification (TIC) assessment of such poles, Colas Rail partnered with Sicara in order to automatise one step of the project. Precisely, Colas Rail needs to get the new exact location of the rail poles on plan to then commission and direct work. We automatised the map layout in 3D and then in 2D as it reduced the lead time from 15min to 45s.

Colas Rail, image recognition, software, custom-made, AI, artificial intelligence

Colas Rail handles railway infrastructure projects all over the world. Thanks to 80 years of expertise, Colas Rail offers solutions and products ranging from high-speed line tracks (LGV), network maintenance and urban transport (trams, metros).

947M

Revenues in €

24

Locations

5800

People

Our impact

40 weeks / year
of Test, Inspection, Certification saved
15 min to 45s
x20 time gain
Background
Background
Quotes

I enjoyed working working with Sicara as they are not only responsive, but also stimulating as they offer 'out of the box' solutions.

Maxence Barbier. Engineering Director @Colas Rail

What we did

We developed a web application that integrates into an in-house software

What we did

We developed a web application that integrates into an in-house software

To represent 3D pieces of spatial data that allows to sample the surfaces and distances between catanarys, rails and poles, Colas Rail resorts to points clouds generated by laser scanners (LIDAR). Afterwards, to visualise this rail road environment in 3D, it takes 20min to load the plan, isolate the pole, and then generate its sections on a Colas Rail's in-house software. To speed up the generation while keeping its high-quality, Sicara relied on a web application automatisation.

How we did it

A pragmatic solution that sped up the lead time while integrating to an in-house software

How we did it

A pragmatic solution that sped up the lead time while integrating to an in-house software

Once the user selects the points of interest, the Python backend processed from 500,000 to 100,000,000 points to generate a 2D projection of the pole in a few seconds. Sicara then relies on a convolution filter to spot the pattern of the pole and automatise the key measurements of the 2D plan. The 2D projection is then sent back to the user who can open it and use it on its in-house software.

logo, learn, manomano
manomano, opencv, logo
logo, python, manomano, sicara

Our Colas Rail Team

We worked in full integration with the Colas Rail design and technical teams

Sicara, startup, team, teamwork

Our Colas Rail Team

We worked in full integration with the Colas Rail design and technical teams

Our cross-functional teams at Sicara are built in order to focus on the business objective while solving the technical issue.

Alexandre

Centrale Paris

Picture of Raphaël

Raphaël

ENSTA, Polytechnique

Paul

HEC


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