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Smart Tools for Railway work safEty and performAnce iMprovement

Project description

Improving the European rail industry through increased work safety

The European rail industry still provides valuable services for freight and passengers flowing through the EU. However, certain challenges need to be addressed regarding the long-term health of the industry. A key challenge is the increased average age of the workforce – as the physical work required averts potential young workers – which can negatively impact work safety. The EU-funded STREAM project will develop a framework to significantly enhance rail operations by using cutting-edge technologies to reduce workload, automate tasks and improve operational planning and worker–machine interaction. The goal is to assist the rail industry's workforce and increase railway work safety throughout Europe.

Objective

The rail industry is facing important challenges as the average age of the workforce keeps growing while less young workers are interested in the physically demanding work required. Smart technologies can help to reduce work demands, avoid incidents and accidents, and support workers during heavy activities. STREAM support LEAN execution of intelligent maintenance process by introducing technologies that cause negligible modification of current working procedures, yet strongly improve operation planning, safety and performance. STREAM will develop two smart technologies employing environment perception and human intention principles enabling prevention and risk mitigation. First, STREAM will develop a control platform (OTA3M) adapted to existing rail excavators, by exploiting sensors, hydraulic actuators and software which will allow excavators to conduct multi-purpose autonomous operations enabling safe worker-machine collaboration. The OTA3M controls the excavator motion autonomously along tracks and introduces the autonomous capacity of manipulating heavy components relying on motion/force controls, obstacle detection and collision avoidance. Second, STREAM will deploy a modular active exoskeleton (MMPE) to reduce the risk of injury by assisting workers in heavy activities. The MMPE is tailored to track workers to reduce the risk of injury at the lumbar area by reducing biomechanical loading for a vast variety of manual handlings. MMPE understands human intention by exploiting human-activity recognition, proprioceptive sensors, and control strategies, and reducing worker’s efforts by applying specific forces, synchronized with the musculoskeletal system. The MMPE design emphasizes ergonomic aspects and PPEs integration to ensure comfort and usability making it suitable for workers. The consortium, assisted by an end-user board, will assess the devices from the perspectives of performance, ethics, and economic rationale to prepare further commercial exploitation

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Keywords

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Programme(s)

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Topic(s)

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Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

RIA - Research and Innovation action

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) H2020-S2RJU-2020

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Coordinator

FONDAZIONE ISTITUTO ITALIANO DI TECNOLOGIA
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 971 875,00
Address
VIA MOREGO 30
16163 Genova
Italy

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Region
Nord-Ovest Liguria Genova
Activity type
Research Organisations
Links
Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 971 875,00

Participants (7)

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