Intelligent digital toolbox towards more sustainable and safer extraction of mineral resources

Informazioni relative al progetto

NETHELIX

ID dell’accordo di sovvenzione: 101092365

DOI

10.3030/101092365

Progetto chiuso

Data della firma CE 29 Novembre 2022

Data di avvio 1 Gennaio 2023

Data di completamento 30 Giugno 2026

Finanziato da

• Digital, Industry and Space

Costo totale

€ 14 939 668,75

Contributo UE

€ 11 145 398,63

Coordinato da

SATWAYS-OLOKLIROMENES LYSEIS ASFALEIAS KAI AMYNAS-IDIOTIKI EPICHEIRISI PAROCHIS YPIRESION ASFALEIAS (IEPYA)-ETAIREIA PERIORISMENIS EFTHYNIS
Greece

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Documents, reports (7)

Report on the implementation of dissemination, communication and liaising activities

Description of all dissemination activities of the project will include also the material that was used (posters, brochures, papers, videos, etc.). It will be delivered in M18 as an intermediate report.

Final report on the imple-mentation of dissemination & communication activities

This deliverable describes all dissemination activities of the project and will include also the material that was used (posters, brochures, papers, videos, etc.). It will be delivered at the end of the project.

Report on the pilot activities technological & socio-economic impact assessment

The outcome of T7.7 consolidates the final evaluation of the NetHelix components against metrics from WP2

Consolidated report on the NetHelix adherence to eth-ics, legal and regulatory aspects & data privacy

Output of T9.1 and T9.2. The roadmap of NetHelix on these aspects will be part of the deliverables in WP2 (specifications and planning). D9.1 will be delivered in M12 (prior to any demonstration activity0 and updated every year. The final report will be delivered at the end of the project.

Preparatory activities for field validation, deployment, and training

This deliverable is an output of T7.1 where all the pre-pilot activities, outcomes and feedback provided to the technology providers is described

Risk Identification Management & Quality assurance plan

Quality rules and indicators set, templates, internal dead-lines, the project communication and file exchange platform, report analysis for risk management and in-tended management procedures, and disclosure of QA procedures and assessment.

Report on compliance to standardisation & methodologies

Output of T8.4. It will be delivered in M24 and updated at the end of the project.

Demonstrators, pilots, prototypes (1)

Delivery of the NetHelix safety features

Development, assessment, and delivery of the laser-based spectroscopic gas sensor and smart wearables, tailored for the mining industry according to the specifications addressing the need for increased H&S.

Websites, patent fillings, videos etc. (1)

Dissemination plan and material

Partial output of T8.1 and T8.2. To be delivered in M6 and updated every year. The logo, visuals, website, and other material will be prepared, as well as the preparatory activities and planning for the liaising & clustering activities.

Pubblicazioni

Conference proceedings (5)

Correlation-Based Filtering for Unsupervised Anomalous Sound Detection

Autori: Andrin Bürli, Sami Hamdan
Pubblicato in: 10th Workshop on Detection and Classification of Acoustic Scenes and Events (DCASE 2025), 2025
Editore: Music Technology Group - Universitat Pompeu Fabra
DOI: 10.5281/ZENODO.17251589

Optimisation of mining machinery maintenance in modern mining enterprises through text mining and machine learning techniques

Autori: Maria Stachowiak, Wioletta Koperska, Paweł Stefaniak, Paweł Śliwiński
Pubblicato in: APCOM Conference 2025 Proceedings by Ausimm, 2025
Editore: The Australasian Institute of Mining and Metallurgy
DOI: 10.5281/ZENODO.20527242

Monitoring-based optimisation of horizontal transport in underground mines using machine learning and data integration from NGIMU sensors

Autori: Wioletta Koperska, Paweł Stefaniak, Artur Skoczylas , Maria Stachowiak
Pubblicato in: APCOM Conference 2025 Proceedings by Ausimm, 2025
Editore: The Australasian Institute of Mining and Metallurgy
DOI: 10.5281/ZENODO.20527162

The Concept of an Intelligent Decision Support System for Ore Transportation in Underground Mine

Autori: Artur Skoczylas, Paweł Stefaniak, Wiesława Gryncewicz, Artur Rot
Pubblicato in: Procedia Computer Science, Numero 225, 2023, ISSN 1877-0509
Editore: Elsevier
DOI: 10.1016/J.PROCS.2023.10.079

A cost effective smart insole system for real time gait analysis

Autori: Nikos Antoniou, Antonis Hadjiantonis, Costas Kyriacou, Andreas Konstantinidis
Pubblicato in: 2023 IEEE SENSORS, 2023, ISSN 2168-9229
Editore: IEEE
DOI: 10.1109/SENSORS56945.2023.10325292

Peer reviewed articles (4)

BauXAIte: An Explainable AI Framework for UAV Multisensor-Driven Bauxite Stockpile Mapping and Classification

Autori: Anastasios Temenos, Nikos Temenos, Margarita Skamantzari, Anastasios Doulamis, Nikolaos Doulamis, Efthymios Daradimos, Nikolaos Christoforou
Pubblicato in: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Numero 18, 2025, ISSN 1939-1404
Editore: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/JSTARS.2025.3604070

A Hybrid Physics-Based and AI-Enabled Framework for Mine Road Infrastructure Maintenance Using Inertial Sensors

Autori: Wioletta Koperska, Paweł Stefaniak, Artur Skoczylas, Maria Stachowiak, Dariusz Janik
Pubblicato in: Sustainability, Numero 18, 2026, ISSN 2071-1050
Editore: MDPI AG
DOI: 10.3390/SU18094402

Multi-Stage Cascaded Algorithm for Localization with Integrated BEacon Ranking (CALIBER) for Bluetooth-Based Indoor Localization

Autori: Nikos Antoniou, Nicolas Kyriakou, Angelos Georgiou, Antonis Hadjiantonis, Costas Kyriacou, Andreas Konstantinidis
Pubblicato in: IOP Conference Series: Earth and Environmental Science, Numero 1558, 2025, ISSN 1755-1307
Editore: IOP Publishing
DOI: 10.1088/1755-1315/1558/1/012063

Deep Learning for Ore Haulage Monitoring: Vibrational Analysis Using a VGG16 Network

Autori: Artur Skoczylas, Paweł Stefaniak, Sergii Anufriiev, Wioletta Koperska
Pubblicato in: IEEE Access, Numero 13, 2025, ISSN 2169-3536
Editore: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/ACCESS.2025.3542192