Ground movements nearby the infrastructure

4.2.1

Objectives:

  • Use PSP-IFSAR method for monitoring the sites of interest, allowing the measurement of differential deformation of the ground and each single structure, with millimetric/centimetric accuracy.
  • Integration of the PSP results with high resolution optical images by RPASs for improving the existing models in the field of Structural Health Monitoring (SHM).
  • Integration of the PSP measurements with VHR optical satellite data to detect surface landslides
  • Investigation of pre-screening method to be used for identification of clusters of PS, characterized by potential interest. 
  • Detailed analysis (large scale) of the more critical clusters by optical data.
4.2.2

Foreseen advantages:

  • Possible to measure terrain displacements in correspondence of thousands of PS points per km2 over the railway infrastructure and their surroundings.
  • Monitoring of already known and identification of new phenomena.

Hydraulic activities nearby the track

4.2.1

Objectives:

  • Detailed reconstruction of the territory, through a high resolution Digital Surface Model (DSM), to estimate the risk of flood as soon as the water extent exceeds a certain threshold.
  • Continuous and automatic monitoring of water extent of rivers, derived from optical and SAR satellite data.
4.4.2

Foreseen advantages:

  • Cost saving monitoring is fully based on Sentinel images (open data).
  • Timely alert of potential flood.
  • Exposure analysis based on the knowledge of the areas potentially impacted by a flood. 
  • Consequences analysis based on the knowledge of the flooded areas in case of event.

Global supervision for natural hazards

no

Objectives:

  • Preliminary map of vegetation of the corridor of interest  in  order  to  classify  the  AOI  in  terms  of  risks.
  • 2D and 3D change detection analysis to estimate the entity (surface, density and height) of vegetation growing .
4.4.2

Foreseen advantages:

  • Cost reduction, as no personnel walking along the line or on helicopters.
  • Reducing risks to personnel no need for personnel to stay close to the line.

Electrical system monitoring - demonstrator

no

Objectives:

  • Use RPAS for close-distance inspection of key elements of infrastructure to identify high temperature points and places where a corona discharge occurs.

A multicopter will carry sensors:

  • An RGB camera superposed with data from UV camera
  • IR imagery from thermal type camera to identify hot spots

 

4.5.2

Foreseen advantages:

  • Increased safety of personnel.
  • Time saving - quick surveys, no need to disrupt train schedules.
  • High resolution of acquired data.

Civil engineering structures monitoring

4.6.1

Objectives:

  • Survey critical parts of the bridges, galleries and buildings looking for structural damages.

A multicopter will carry sensors:

  • Use multirotor RPAS equipped with an HD video camera
  • Generate 3D models from acquired data
  • Apply indoor positioning system for improved vehicle autonomy in GPS denied environments (e.g. tunnels)

 

no

Foreseen advantages:

  • Increased safety of personnel.
  • Time saving - quick surveys, no need to disrupt train schedules.
  • High resolution of acquired data.
  • Possibility of constructing a 3D model from acquire data.
  • Ability to perform 3D measurements on the model.

Safety monitoring

no

Objectives:

  • Preliminary detailed mapping of the AOI, in terms of buildings, infrastructure, vegetation, transport network, etc., based on VHR optical satellite data.
  • Processing of fresh optical or radar satellite data, to detect and classify any change that could represent a potential encroachment.
4.7.2

Foreseen advantages:

  • Cost reduction, as no personnel walking along the line or on helicopters.
  • Eliminating risks to personnel no need for personnel to stay close to the line.