CARTIF Projects

MATRYCS

Buildings Data exchange, management and real-time processing

Description

The overall vision and main objectives of MATRYCS is to define and deploy a Reference Architecture for Buildings Data exchange, management and real-time processing, and to translate this reference architecture into an Open, Cloud-based Data Analytics Toolbox (MATRYCS Modular Toolbox). It will enable AI-based cross-sector analytics for smart energy-efficient buildings, based on seamless data-information-knowledge exchange under respective sovereignty and regulatory principles.

Overall, the technical solution follows the MATRYCS Reference Architecture and it consists of three main pillars:

i) MATRYCS-GOVERNANCE encompassing modules related to data collection, semantic annotation and distributed storage

ii) MATRYCS-PROCESSING including ML and Dl models

iii) MATRYCS-ANALYTICS providing a set of analytics tools as a service

These three pillar will be validated in a series of 11 large scale pilots, focusing on digital building twins, improved buidings operation, building infrastructure design, EU/national policy assessment and energy efficiency investments. Additionally, a BDA Alliance will be set up as a vibrnat data-driven ecosystem for attracting new data hubs and SME service providers, enabling thus EU-wide take-up and replication.  

 

Objectives

  • To develop a semantic and business interoperability framework for cross domain analytics applications, cross-context learning and datasets spanning entire buildings value chains.
  • To deliver a TRL 7 data governance technology enabler which will facilitate seamless cross-stakeholder data sharing, trusted data exchange and handling, allowing full data sovereignty and control.
  • To adapt, evolve, upscale and deploy TRL7 technology enabler for a set of trained, high-quality ML and DL models by exploiting existing dataset formats across Europe.
  • To upscale and deploy the MATRYCS open, cloud-based data analytics toolbox along different deployment modes (IaaS, SaaS, PaaS).
  • To demonstrate the applicability, effectiveness and value of MATRYCS solutions through real-life applications.
  • To lay the foundation of pan European Smart buildings trusted and certificable data vibrant ecosystem, boosting EU-scale data economy and valorisation and impact on standarisation. 

Actions

  • To deliver an open reference architecture for Smart energy efficient buildings.
  • To upscale a number of TRL5-6 technology enablers (big data pipeline orchestration, IoT/Edge AI federated learning and visual analytics)
  • To deliver a TRL8 open modular big data clud analytic toolbox.
  • To validate such framework of analytic services in 11 large scale pilots with different stakeholders, focusing on energy performance, design, funding and policy implementation and assessment.
  • To set up the Big Data Alliance as a vibrant data-driven ecosystem for attracting new data hubs and SME service providers, enabling thus EU-wise take-up and replication. 

Expected Results

  • MATRYCS data governance (Gobierno de datos de MATRYCS)
  • MATRYCS processing (Procesamiento MATRYCS)
  • MATRYCS analytics (Analíticas de MATRYCS)
  • Tecnologías/subcomponentes individuales de MATRYCS (p. ej., semántica, aprendizaje automático, conectores de cadena de bloques/API, etc.).
  • Integración y homogeneización de datos para el contexto del sector energético
  • Buenas prácticas – aplicaciones – servicios
  • La plataforma MATRYCS en su conjunto

Partners

Video

H2020

H2020-LC-SC3-B4E-6-2020-Big data for buildings

Total Budget: 4,577,835€

CARTIF Budget: 493,250€

Duration: 01/10/2020 – 30/09/2023

Responsible

Gema Hernández Moral

Division de Energias

gemher@cartif.es

Networking

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