Periodic Reporting for period 2 - IN2DREAMS (INtelligent solutions 2ward the Development of Railway Energy and Asset Management Systems in Europe) Reporting period: 2018-09-01 to 2019-10-31 Summary of the context and overall objectives of the project The predicted growth of transport, especially in European railway infrastructures, is expected to introduce a dramatic increase in freight and passenger services by the end of 2050. To support sustainable development of these infrastructures, novel data-driven ICT solutions are required. These will enable monitoring, analysis and exploitation of energy and asset information for the entire railway system including power grid, stations, rolling stock and infrastructure. IN2DREAMS (INtelligent solutions 2ward the Development of Railway Energy and Asset Management Systems in Europe) will address these challenges through two distinct work streams: Work Stream 1 (WS1), focusing on the management of energy-related data and Work Stream 2 (WS2), focusing on the management of asset-related data.IN2DREAMS developed and demonstrated a modular cloud-based open data management platform (ODM) facilitating ubiquitous support of both energy and asset services. WS1 provided energy metering services through a dynamically reconfigurable platform offering improved reliability, ease of monitoring and on-the-fly optimisation for the entire railway system. This includes a heterogeneous secure and resilient telecommunication platform comprising both wireless and wireline technologies converging energy and telecom services. This infrastructure interconnects a plethora of monitoring devices and end-users to the railway control centre and includes an ODM platform for data collection, aggregation and analysis, able to scale with the railway operators’ needs. This platform is non-intrusiv,e exploiting advanced signal processing and intelligent learning algorithms. Within WS2, IN2DREAMS concentrated on defining IT solutions and methodologies for business-secure decision support in the field of data processing and analytics for railway asset management. The general aim was to study and proof the application of smart contracts in the railway ecosystems, by addressing also legal and regulatory implications, and advanced visual and rule-based data analytics, including metrics for performance assessment. Work performed from the beginning of the project to the end of the period covered by the report and main results achieved so far The consortium has achieved the following:- Deployed an operational environment an integrated energy/communication platform able to monitor energy, environmental and kinematic parameters for the whole railway system. - Provided synchronised measurements for both on-board and trackside across heterogeneous wireless/optical/packet transport networks; data were synchronised both on-board and trackside using GPS clock and NTP. Extensive testing and larger scale evaluations have been carried out. - The data management platform has been developed and used to collect measurements from the various testing facilities involved in the IN2STEMPO project.- The compressive sensing models have been developed and reported.- Developed advanced AI models for fault detection; identified optimal driving styles taking into account on-board and trackside measurements. - Designed scalable User Application tools and techniques required for the rail industry and related market players to extract, visualise and interpret pertinent energy data.- Developed behavioural analytics and recommendation systems to motivate the behavioural change of passengers with the goal to achieve greater user's engagement in energy efficient practices.- Automated the exchange of data transactions along complex ecosystems through self-executing logics – a proof of concept has been released with the self-executing logic of smart contracts and the SW has been tested, including the feedback collected on on-field trials.- Developed the system based on DLT and smart contracts which is capable of dealing with the complexity of AM, maintaining the required level of security while digitalising the whole process.- Studied the application of smart contracts in the railway ecosystems, by addressing also legal and regulatory implications for which no clear standards nor understanding are currently available.- Exploited statistical and visual methodologies in order to extract analytics insights from railway asset data, with the aim to improve decision making for asset management.- Shown that visual and rules based-methods can be effectively exploited for Intelligent Asset Management providing visual and understandable insight to the operators, exploiting state of the art tools and methodologies.The exploitation and dissemination aspects have been described in D7.4 “Dissemination and Exploitation activities report”. Progress beyond the state of the art and expected potential impact (including the socio-economic impact and the wider societal implications of the project so far) "The design of future railway systems will be centred around the concepts of smart metering and asset management, whereby all sections of the system, from energy production all the way to the end users and railway assets will be continuously monitored, controlled and optimised by a powerful 2-way ICT network. This trend is in alignment with the Shift2Rail JU’s Multi-Annual Action Plan and its associated targets for 50% reduction in LCC and has opened the road for a greener and more efficient future for the railway sector, the European Society and beyond. The deployment of smart metering and asset management requires significant investments and R&D efforts in “intelligent"" railway network infrastructure – both hardware and software – to support: a) the target for 100% capacity increase through the development of enhanced predictive maintenance and intelligent asset monitoring technologies; b) a well-functioning energy services market with specific interfaces for the railway industry, which gives real choices for energy savings and efficiency and, c) new types of demand, for large and small stations.Despite the recent surge in research and standardisation activities in these domains, the quest for an optimal ICT solution that can jointly serve smart metering and asset management applications in the railway sector, remains an open issue. As a result, railway operators lack sufficient benchmarking regarding the identification of the solution that best fits their service needs. Moreover, current solutions lack the degree of flexibility/resilience required to make the network adapt itself for optimal performance/power consumption for any given combination of operational conditions and service requirements. The lack of sufficient resilience and redundancies in the ICT part of the smart metering system limits its ability to maintain acceptable operation particularly under critical/emergency conditions (i.e. when it is most needed) and to deploy services such as dynamic pricing that could greatly benefit end users. The proposal for a flexible and resilient ICT infrastructure, that optimally re-configures itself as needed from a performance, energy efficiency and cost point perspective, is the core aspiration of the IN2DREAMS consortium. This architecture addressed some important challenges that the railway sector faces today, as mentioned above, leading to a more cost-efficient, greener, safer and with higher capacity railway system– generating positive impact for all involved stakeholders spanning from railway infrastructure mangers and power grid providers to end users and the society as a whole." Integrated Communication Platform
