Explore the words cloud of the MOMIT project. It provides you a very rough idea of what is the project "MOMIT" about.
The following table provides information about the project.
|Coordinator Country||Italy [IT]|
|Total cost||599˙172 €|
|EC max contribution||599˙172 € (100%)|
1. H2020-EU.126.96.36.199. (Innovation Programme 3: Cost Efficient and Reliable High Capacity Infrastructure)
|Duration (year-month-day)||from 2017-09-01 to 2019-10-31|
Take a look of project's partnership.
|1||E-GEOS SPA||IT (MATERA)||coordinator||134˙725.00|
|3||CENTRE TECNOLOGIC DE TELECOMUNICACIONS DE CATALUNYA||ES (CASTELLDEFELS BARCELONA)||participant||98˙500.00|
|4||NEAT SRL||IT (ROMA)||participant||66˙250.00|
|5||UNIVERSIDAD DE ALICANTE||ES (ALICANTE)||participant||61˙187.00|
|6||RETE FERROVIARIA ITALIANA||IT (ROMA)||participant||32˙260.00|
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
|Data processing and analysis methods||Documents, reports||2020-02-21 17:18:46|
|Data homogenization, fusion and information extraction algorithms||Documents, reports||2020-02-21 17:18:46|
|Dissemination and Communication Strategy and Action Plan||Documents, reports||2020-02-21 17:18:46|
|Railway key asset monitoring: parameters, technology, specifications||Documents, reports||2020-02-21 17:18:46|
|Technologies and challenges report||Documents, reports||2020-02-21 17:18:46|
|Project Web Site||Other||2020-02-21 17:18:46|
|RPAS regulatory gaps/barriers analysis||Documents, reports||2020-02-21 17:18:46|
|Railway Asset monitoring needs||Documents, reports||2020-02-21 17:18:46|
|Project Handbook, comprehensive of a Quality Management||Documents, reports||2020-02-21 17:18:46|
Take a look to the deliverables list in detail: detailed list of MOMIT deliverables.
|year||authors and title||journal||last update|
TomÃ¡s, R., Navarro, J.A., Cuevas-GonzÃ¡lez, M., PagÃ¡n, J.I., Crosetto, M., Cano, M., Pastor, J.L., Barra, A., Riquelme, A., Monserrat, O., RamÃ³n, A., del Soldato, M., Solari, L., Costantini, M., Trillo, F.
Semiautomatic procedure for identification and pre-screening of geological-geotechnical hazards using PSI data: Abbadia San Salvatore (Tuscany, Italy) case study
published pages: , ISSN: , DOI:
|Living Planet 2019 Conference Every 3 years||2020-02-21|
Satellites and drones to support railways infrastructure maintenance
published pages: , ISSN: 1351-1599, DOI:
|Global Railway Review||2020-02-21|
TomÃ¡s R. et al.
A New Method for Semi-Automatic Identification and Pre-Screening of Deformational Processes Over Wide Areas Using Persistent Scatterer Interferometry Datasets.
published pages: , ISSN: 2072-4292, DOI:
|Remote Sensing Journal (MDPI) Bimonthly||2020-02-21|
TomÃ¡s, R. et al
The MOMIT project for an integration of remote sensing technologies into railway infrastructure monitoring system
published pages: , ISSN: , DOI:
|Infrastructures planning and monitoring user consultation conference 2019||2020-02-21|
Navarro, J. A., Cuevas, M., TomÃ¡s, R., Barra, A., Crosetto, M.
A toolset to detect and classify Active Deformation Areas using interferometric SAR data.
published pages: All, ISSN: , DOI:
|Proceedings of the 5th international conference on Geographical Information Systems, Theory, Administration and Management (GISTAM 2019) Yearly||2020-02-21|
TomÃ¡s, R., AbellÃ¡n, A., Cano, M., Riquelme, A., Tenza-Abril, A.J., Baeza-Brotons, F., Saval, J.M., Jaboyedoff, M.
A multidisciplinary approach for the investigation of a rock spreading on an urban slope.
published pages: 199-217, ISSN: 1612-510X, DOI:
|Landslides Journal of the International Consortium on Landslides 15||2020-02-21|
JosÃ© A. Navarro, Anna Barra, MarÃa Cuevas, Oriol Monserrat, Michele Crosetto
Detection of Active Deformation Areas based on Sentinel-1 imagery: an efficient, fast implementation
published pages: All, ISSN: , DOI:
|\"Proceedings of the 18th International Scientific and Technical Conference, \"\"From Imagery to Digital Reality: ERS & Photogrammetry\"\". September 24-27, 2018, Crete (Greece)\" Yearly||2020-02-21|
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