MOMIT | Multi-scale Observation and Monitoring of railway Infrastructure Threats

Summary
The MOMIT project will develop innovative products and solutions supporting the maintenance process of railway infrastructures. MOMIT concept is based on the exploitation of unmanned technologies as Earth Observation satellites and RPAS-borne sensors.
Starting from collected data analysis, MOMIT will bring at cutting edge level the remote sensing technology: developing advanced post processing chains, data fusion, automation, defining new indicators from estimated parameters, MOMIT will design new operational workflows able to support intelligent asset management.
MOMIT will adopt a multi scale approach: Satellite and RPAS data will be combined in order to maximize their benefits and characteristics. A first overall analysis (with satellite and over long sections) will guide the detailed analysis and trigger specific preventive actions. Thus, maintenance activities are guided by this combined analysis with a general optimization of resources.
Effectiveness and efficiency of proposed solutions will be demonstrated by six main application cases, validated in a real operational environment:
- Ground movements: interferometry derived by SAR satellite data analysis will adopt to define tools and indicators supporting the user for detailed analysis and preventive actions planning
- Hydraulic activities: a combination of optical and radar satellite data will be used to monitor soil moisture and water bodies close to the track
- Natural hazards: anomalies along the track related to natural phenomena (as vegetation growth) will be monitored by the use of satellite data.
- Electrical system: RPASs will be equipped with innovative sensors to monitor electrical effects impacting on the infrastructure efficiency
- Civil engineering structures: a combination of satellite and RPAS data will be used to identify possible criticalities to the infrastructure
- Safety: anomalies and illicit activities along the track will be monitor by the use of optical a radar satellite data
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More information & hyperlinks
Web resources: https://cordis.europa.eu/project/id/777630
Start date: 01-09-2017
End date: 31-10-2019
Total budget - Public funding: 599 172,50 Euro - 599 172,00 Euro
Cordis data

Original description

The MOMIT project will develop innovative products and solutions supporting the maintenance process of railway infrastructures. MOMIT concept is based on the exploitation of unmanned technologies as Earth Observation satellites and RPAS-borne sensors.
Starting from collected data analysis, MOMIT will bring at cutting edge level the remote sensing technology: developing advanced post processing chains, data fusion, automation, defining new indicators from estimated parameters, MOMIT will design new operational workflows able to support intelligent asset management.
MOMIT will adopt a multi scale approach: Satellite and RPAS data will be combined in order to maximize their benefits and characteristics. A first overall analysis (with satellite and over long sections) will guide the detailed analysis and trigger specific preventive actions. Thus, maintenance activities are guided by this combined analysis with a general optimization of resources.
Effectiveness and efficiency of proposed solutions will be demonstrated by six main application cases, validated in a real operational environment:
- Ground movements: interferometry derived by SAR satellite data analysis will adopt to define tools and indicators supporting the user for detailed analysis and preventive actions planning
- Hydraulic activities: a combination of optical and radar satellite data will be used to monitor soil moisture and water bodies close to the track
- Natural hazards: anomalies along the track related to natural phenomena (as vegetation growth) will be monitored by the use of satellite data.
- Electrical system: RPASs will be equipped with innovative sensors to monitor electrical effects impacting on the infrastructure efficiency
- Civil engineering structures: a combination of satellite and RPAS data will be used to identify possible criticalities to the infrastructure
- Safety: anomalies and illicit activities along the track will be monitor by the use of optical a radar satellite data

Status

CLOSED

Call topic

S2R-OC-IP3-03-2017

Update Date

27-10-2022
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Horizon 2020
H2020-EU.3. SOCIETAL CHALLENGES
H2020-EU.3.4. SOCIETAL CHALLENGES - Smart, Green And Integrated Transport
H2020-EU.3.4.8. Shift2Rail JU
H2020-EU.3.4.8.3. Innovation Programme 3: Cost Efficient and Reliable High Capacity Infrastructure
H2020-S2RJU-OC-2017
S2R-OC-IP3-03-2017 Satellite and autonomous monitoring systems’ solution