Periodic Reporting for period 2 - SIA (System for vehicle-infrastructure Interaction Assets health status monitoring)
Período documentado: 2019-09-01 hasta 2021-08-31
At European level, railway infrastructure and vehicle maintenance costs are estimated at above 20,000M€ per year. Distribution of maintenance expenses varies among countries and organizations, but according to several references, from the part of the infrastructure, track expenses represent between 40%-70% and electrification between 8-20% of the overall costs, where rail defects account for 30% and catenary system for 50% of the previous values respectively. From the vehicle point of view, major maintenance costs are wheelsets (typically 30%-50% of the total vehicle) and pantograph (typically between 5 and 10% of the vehicle maintenance cost). The previous figures are similar for all the infrastructure managers (IMs) and train operating companies (TOCs), which amount to over 330 in EU and 1500 organizations worldwide, and supposes over 8,000M€ of recurrent expenses in the EU.
In this context, SIA (System for vehicle-infrastructure Interaction Assets health status monitoring) has the objective of developing four ready-to-use new services (i.e. iCatMon, iPantMon, iWheelMon, iRailMon) to provide prognostic information about the health status of the railway’s most demanding assets in terms of maintenance costs, at the points of the interaction between the vehicle and the infrastructure (catenary, pantograph, wheelset and rail respectively).
In order to cope with the main objective of the project and to leverage these four new services, the following technical objectives are foreseen for the project:
Development of low-cost sensor nodes for wheel to rail and pantograph to catenary interaction characterization.
Development of a data hub that collects on-board information, provides accurate position and time stamping with high availability, and transmits the information to a trackside visualization platform.
Development of predictive component degradation models that will enable anticipating to future eventual failures by means of the analysis of future scenarios.
Development of a visualization platform with two plug-in software modules specific for the railway infrastructure (catenary and rail, i.e. iCatMon and iRailMon respectivelly) and vehicle maintenance (pantograph and wheelset, i.e. iPantMon and iWheelMon respectivelly).
In this context, SIA (System for vehicle-infrastructure Interaction Assets health status monitoring) has the objective of developing four ready-to-use new services (i.e. iCatMon, iPantMon, iWheelMon, iRailMon) to provide prognostic information about the health status of the railway’s most demanding assets in terms of maintenance costs, at the points of the interaction between the vehicle and the infrastructure (catenary, pantograph, wheelset and rail respectively).
In order to cope with the main objective of the project and to leverage these four new services, the following technical objectives are foreseen for the project:
Development of low-cost sensor nodes for wheel to rail and pantograph to catenary interaction characterization.
Development of a data hub that collects on-board information, provides accurate position and time stamping with high availability, and transmits the information to a trackside visualization platform.
Development of predictive component degradation models that will enable anticipating to future eventual failures by means of the analysis of future scenarios.
Development of a visualization platform with two plug-in software modules specific for the railway infrastructure (catenary and rail, i.e. iCatMon and iRailMon respectivelly) and vehicle maintenance (pantograph and wheelset, i.e. iPantMon and iWheelMon respectivelly).
WP1 is dedicated to project management. Apart from the common activities that have been active during the whole project lifespan (project coordination, administrative management, financial management and quality management), during this reporting period this WP has been working on IPR management, with the main result being the delivery of deliverable D1.2.
WP3 has been covering the development of algorithms utilising EGNSS specifically for the railway domain. Even though two of the three tasks of this WP already finished in the first reporting period, a big effort has been dedicated to the development of the positioning subsystem of the SIA system, along with the railway-specific positioning algorithms for the synchronization and geolocation of KPIs that are indicative of the health condition of assets. An updated version of Deliverable D3.2 has been submitted in this reporting period.
WP4 has addressed the integration of sensors, communications and energy supply for on-board sensing nodes. In this reporting period, prototypes have been developed, tested and validated of the following subsystems: wheel-rail interaction monitoring subsystem, pantograph-catenary interaction monitoring subsystem, a power harvester for energy supply, and the data hub. The data hub is the backbone of the on-board equipment that manages the integration of the data coming from the different monitoring subsystems, including positioning information. The data hub processes and stores the data as well as transmitting it to the back-office. Deliverables D4.1 D4.2 and D4.3 have been submitted in this reporting period.
WP5 has addressed the modelling of the component degradation. A set of algorithms that generate KPIs that indicate the health of assets have been developed. Within the system as a starting point the use cases already defined in D2.1 are taken, the physical signals obtained with the different monitoring subsystems are processed in order to generate representative KPIs. Deliverables D5.1 D5.2 D5.3 D5.4 and D5.5 have been submitted in this reporting period.
WP6 is dedicated to the visualization platform for railway-specific maintenance applications. After completing the initial prototypes, the four applications (iCatMon, iPantMon, iWheelMon and iRailMon) have been fully developed in this WP. Deliverables D6.1 and D6.2 have been submitted in this reporting period.
WP7 consists of the integration of the applications developed in WP6 with end-user IT systems. The platform has been used to build interfaces with the existing systems utilised by end-users of the consortium, so they can take advantage of these services to integrate their specific information. Deliverable D7.1 has been submitted in this reporting period.
WP8 is dedicated to the validation of the system. Despite the restrictions imposed by the COVID19 pandemic, a big effort has been made to define and materialize three different validation scenarios in different conditions and with different durations. The components of the system and their integration has been validated and tested. Deliverables D8.1 and D8.2 have been submitted in this reporting period.
Finally, WP9 is dedicated to the dissemination, communication, and exploitation of the project results. Deliverables D9.2 and D9.4 have been submitted in this reporting period.
WP3 has been covering the development of algorithms utilising EGNSS specifically for the railway domain. Even though two of the three tasks of this WP already finished in the first reporting period, a big effort has been dedicated to the development of the positioning subsystem of the SIA system, along with the railway-specific positioning algorithms for the synchronization and geolocation of KPIs that are indicative of the health condition of assets. An updated version of Deliverable D3.2 has been submitted in this reporting period.
WP4 has addressed the integration of sensors, communications and energy supply for on-board sensing nodes. In this reporting period, prototypes have been developed, tested and validated of the following subsystems: wheel-rail interaction monitoring subsystem, pantograph-catenary interaction monitoring subsystem, a power harvester for energy supply, and the data hub. The data hub is the backbone of the on-board equipment that manages the integration of the data coming from the different monitoring subsystems, including positioning information. The data hub processes and stores the data as well as transmitting it to the back-office. Deliverables D4.1 D4.2 and D4.3 have been submitted in this reporting period.
WP5 has addressed the modelling of the component degradation. A set of algorithms that generate KPIs that indicate the health of assets have been developed. Within the system as a starting point the use cases already defined in D2.1 are taken, the physical signals obtained with the different monitoring subsystems are processed in order to generate representative KPIs. Deliverables D5.1 D5.2 D5.3 D5.4 and D5.5 have been submitted in this reporting period.
WP6 is dedicated to the visualization platform for railway-specific maintenance applications. After completing the initial prototypes, the four applications (iCatMon, iPantMon, iWheelMon and iRailMon) have been fully developed in this WP. Deliverables D6.1 and D6.2 have been submitted in this reporting period.
WP7 consists of the integration of the applications developed in WP6 with end-user IT systems. The platform has been used to build interfaces with the existing systems utilised by end-users of the consortium, so they can take advantage of these services to integrate their specific information. Deliverable D7.1 has been submitted in this reporting period.
WP8 is dedicated to the validation of the system. Despite the restrictions imposed by the COVID19 pandemic, a big effort has been made to define and materialize three different validation scenarios in different conditions and with different durations. The components of the system and their integration has been validated and tested. Deliverables D8.1 and D8.2 have been submitted in this reporting period.
Finally, WP9 is dedicated to the dissemination, communication, and exploitation of the project results. Deliverables D9.2 and D9.4 have been submitted in this reporting period.
SIA will innovate with four ready-to-use new services (iWheelMon, iPantMon, iCatMon and iRailMon) that provides prognostic health monitoring of key assets on the railway infrastructure and vehicle (wheel, pantograph, catenary and rail respectively). These new services are based on the measurement of the interaction characteristics between the vehicle and the infrastructure, the exact localization of potential failures and their evolution with the time, and finally the prognosis of the health status of the key components of the railway system thanks to component degradation models.
Prognostic health monitoring of key railway assets. SIA is progressing beyond the state of the art by providing four new end-to-end services to two market niches (railway infrastructure and vehicle maintenance) based on these features:
Real time monitoring of the interaction of the wheel-rail and pantograph-catenary ecosystems
Low cost solution
Customizable visualization environment
Prognosis capabilities
EGNSS localization techniques. SIA is progressing beyond the state of the art in this regard in three aspects:
Developing a low-cost positioning system that provides high accuracy and high availability in the railway environment for the purpose of geo-referencing asset condition monitoring sensor data.
Finger printing using vehicle dynamics gathered data
Development of new version of positioning algorithm testing tool (RANSS)
Component degradation models
Pantograph-catenary interaction (OHL geometry, contact force, etc.)
Wheel-rail interaction (wheel flats, rail roughness, etc.)
IMPACTS
Reduction of maintenance costs (target 15%)
Reduction of service unavailability (target 10%)
Increase in safety (target 15% reduction of derailments)
Prognostic health monitoring of key railway assets. SIA is progressing beyond the state of the art by providing four new end-to-end services to two market niches (railway infrastructure and vehicle maintenance) based on these features:
Real time monitoring of the interaction of the wheel-rail and pantograph-catenary ecosystems
Low cost solution
Customizable visualization environment
Prognosis capabilities
EGNSS localization techniques. SIA is progressing beyond the state of the art in this regard in three aspects:
Developing a low-cost positioning system that provides high accuracy and high availability in the railway environment for the purpose of geo-referencing asset condition monitoring sensor data.
Finger printing using vehicle dynamics gathered data
Development of new version of positioning algorithm testing tool (RANSS)
Component degradation models
Pantograph-catenary interaction (OHL geometry, contact force, etc.)
Wheel-rail interaction (wheel flats, rail roughness, etc.)
IMPACTS
Reduction of maintenance costs (target 15%)
Reduction of service unavailability (target 10%)
Increase in safety (target 15% reduction of derailments)