Work Packages

The project is structured and divided into 10 Work Packages (WPs). The main scientific and technical work will be conducted in WPs 2-7. Besides, the requirements will be identified in WP1 and the whole INFRALERT system will be demonstrated in WP8. Finally, these technical WPS are completed by two general WPs (WP9 and WP10).


WP1In WP1 the basis for the development of the INFRALERT expert-based Infrastructure Management System (eIMS) will be laid. The weak points of current IT tools for infrastructure management and maintenance will be identified, while an evaluation framework based on Key Performance Indicators (KPIs) will be established to ensure that these drawbacks are overcome and the expected impacts are properly achieved.

In WP2 the currently existing databases for measurements from the field are adapted and extended for multi-purpose asset management. The Data Farm to be built is holistic to the extent of including all types of data in a consistent architecture. The work will not start from scratch: open data bases and cloud computing are established technologies to build on; GIS are obviously another piece of the platform to integrate. The field data are maintained in the most efficient way, preserving the “measurement campaign” concept. This will prevent from losing useful information and will allow the reprocessing of raw data if any error occurs. Also, preserving the original data structure as delivered by the instrumentation allows squeezing more meaning from the data, in case new methods are invented.

WP3In WP3 the assessment of the current condition of the assets and the prediction of the future development will be carried out based on the ontologies created in WP2 and further data collection. The information generated has a twofold objective: i) The current asset condition will be useful for operation and traffic management; ii) The forecasting of the asset condition will be relevant for the smart decision support tools, which follow a condition- and risk-based approach.
WP4In WP4 a methodology for generating maintenance alerts of infrastructure network assets will be developed based on asset conditions development (WP3) and prior expert-knowledge on maintenance interventions. The research innovation builds upon machine learning techniques to characterise true positive alerts using statistical and probabilistic approaches. The practical technological development is based on creating alert-severity-intervention and alert-time-probability spaces to prioritise maintenance alerts. These results will be fed to the smart decision support in interventions planning (WP6).
WP5In WP5 novel RAMS&LCC models will be developed. Based on European Standards, these methodologies will use the probabilistic information provided by the eIMS to perform holistic and more realistic analyses. Once programmed, this expert toolkit will provide the decision support system with the inputs and targets necessary for the optimisation (WP6) leading to a more reliable, available, maintainable, safe and cost-efficient infrastructure.
Figure_WP6In WP6 the eIMS’s intelligence for Smart decision support in interventions planning will be developed. The work focusses on the mathematical modelling of maintenance planning on the tactical and operational level, and in particular on modelling of uncertainties to be dealt with in the dynamic planning process. The design of a condition- and risk-based interventions planning concept is another key objective of this WP, since it constitutes the basics of the smart decision support framework to be applied within the eIMS. Link with the RAMS & LCC models from WP5 will be established also by the compilation of a strategic assessment tool.
WP7In WP7 the expert-based IMS will be finally built that exploits the data management developed in WP2 and integrates the expertise and artificial intelligence tools to be developed by WP3, WP4, WP5 and WP6. Innovative methods and algorithms provided by WP3-6 will be implemented within this WP and integrated into the cloud-based eIMS platform.  To support the interoperability between the elements of the expert-based tools, the platform will include a core eIMS Framework that defines and implements a common eIMS ontology based on applicable existing standards. In order to provide interoperability between eIMS and existing IMS systems, the platform will also contain an integration gateway that will serve as an interface to external data sources. For the stakeholders interested in infrastructure management, the platform will provide an internet-based presentation layer to access INFRALERT services.
portugal-roadIn WP8 the eIMS prototype resulting from the previous WPs will be demonstrated in real-world use cases for both road and rail infrastructures. These use cases will be identified in WP1 and support the empirical development of the project as well as its validation within a real context. Besides data collection for the selected scenarios in terms of asset condition, also operational, budget and other resource-related constraints will be identified. The results evaluation and overall impact analysis will be based on KPIs (defined in WP1), allowing a clear quantification of INFRALERT benefits.
WP9WP9 is dedicated to preparing comprehensive plans for results assimilation by the partners and set the ground for the exploitation. The consortium will endeavour to disseminate information pertaining to the project as widely as possible in order to increase the competitiveness of the partners. In this vein, the consortium will use different media to broadcast the results of this project including but not limited to, electronic bulletins, newsletters, scientific journals, conferences and a dedicated webpage.
WP10Management activities in WP10 encompass the optimisation of resource allocation among the participants and adhering to all the requirements of the EC in terms of communication and reporting. They also include management of knowledge, the coordination of technical activities at consortium level, the coordination of the overall legal, contractual, financial and administrative aspects, and coordination of the gender equality, ethical and societal aspects, and the establishment and coordination of the External Advisory Board (EAB). It is alive during the whole duration of the project.