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AI:Liner - Data-driven sewer asset management: a path toward the resilient transformation of Europe's sewer infrastructure

Project description

AI solution for optimised sewer system maintenance

Sewers have been crucial for maintaining living conditions, cleanliness, and preventing disease outbreaks in cities worldwide for thousands of years. Despite technological and methodological advancements in recent decades, sewer systems often remain undermaintained and insufficiently monitored, despite their vital importance. The EU-funded AI-Liner project aims to enhance the asset management life cycle of sewer networks by designing, developing, and validating a range of state-of-the-art technological and digital solutions that optimise maintenance, planning, and operations while reducing costs and unexpected failures. The project will leverage growing European CCTV inspection data alongside AI-based fault detection and novel in-situ monitoring techniques to enable optimal planning and implementation of repair and rehabilitation efforts.

Objective

AI:Liner will enhance the asset management life cycle of sewer networks by designing, developing and validating a suite of cutting-edge technological and digital solutions. The project delivers a modular and interoperable end-to-end asset management tool chain that optimizes planning, operations, maintenance, investment, and reduces costs and risks of unexpected failures.

It leverages the momentum of European utilities' digitalization efforts, building on the increasing availability of CCTV inspection data, AI-based fault detection, and recent advances in in-situ monitoring techniques to support the climate-neutral and resilient transformation of Europe's sewer infrastructure. AI:Liner empowers utilities and municipalities to identify intervention needs, enabling strategic decisions on when and where to inspect and rehabilitate sewers with the most appropriate technology, ultimately promoting the adoption of repair and rehabilitation techniques over the traditional excavation required for renewal. AI:Liner promotes the acceptance, trustworthiness and accountability of data-driven solutions, fostering a culture of trust, transparency and responsible use of data among European utilities and municipalities. By bringing together an interdisciplinary consortium that leverages expertise in infrastructure management, digitalization, and social sciences and humanities, AI:Liner enhances the digital skills of the utility workforce and integrates AI ethical principles at the core of technology development, ensuring the sustainable, responsible, and unbiased use of AI.

AI:Liner strives to accelerate the digital and green transitions of the water and infrastructure sector, aiding European utilities in delivering high-quality services, maintaining affordable costs, and preserving infrastructure for future generations.

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Topic(s)

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HORIZON-RIA - HORIZON Research and Innovation Actions

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Call for proposal

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(opens in new window) HORIZON-CL4-2024-TWIN-TRANSITION-01-TWO-STAGE

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Coordinator

KWB KOMPETENZZENTRUM WASSER BERLIN GEMEINNUTZIGE GMBH
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.

€ 1 259 207,81
Address
GRUNEWALDSTRASSE 61-62
10825 BERLIN
Germany

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Region
Berlin Berlin Berlin
Activity type
Research Organisations
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Total cost

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Participants (11)

Partners (9)

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