Advancing smart building interoperability: implementing and validating semantic data integration

Advancing Smart Building Interoperability: Implementing and Validating Semantic Data Integration

Réf ABG-127178
Stage master 2 / Ingénieur
Durée 6 mois
Salaire net mensuel 800 euros

25/11/2024

Institut de Recherche (IR) - ESTP-Paris
Lieu de travail
Cachan Ile-de-France France
Champs scientifiques
* Informatique
* Génie civil, BTP
* Sciences de l’ingénieur
Mots clés
Data interoperability, Fine-tunning, Parameter-efficient adaptation, Semantic text similarity
Date limite de candidature
01/02/2025


Établissement recruteur

Institut de Recherche (IR) -ESTP, 28 avenue du Président Wilson, 94230 Cachan


Description

Introduction: In the current building industry, various models related to design, construction, and operation are developed using different tools and managed by separate teams. However, there is often a lack of coordination in organising these data models. As a result, significant inconsistencies arise, not only in the data structure but also in the naming of functions. This leads to the challenge of dealing with heterogeneous data sources, such as Building Information Models (BIM), Building Energy Models (BEM), and Building Management Systems (BMS). These discrepancies pose a major obstacle to creating intelligent and innovative applications for smart buildings.
Building on the foundational work of harmonising data sources using the Brick ontology, this internship aims to implement and validate the semantic data integration approach in real-world smart building scenarios. The focus will be on developing practical applications that demonstrate the benefits of enhanced interoperability. Key Objectives:

1. Implementation of Semantic Data Model:
* Develop a comprehensive semantic data model that integrates BIM, BEM, and BMS data using the Brick ontology.
2. Performance Evaluation and Optimization:
* Conduct thorough performance testing of the semantic data integration system.
* Optimize query efficiency and data processing for large-scale building data sets.
3. Interoperability Validation:
* Test the interoperability of the developed system with existing building management platforms.
* Evaluate the ease of integrating new data sources into the semantic model.
4. Documentation and Knowledge Transfer:
* Develop comprehensive documentation for the semantic data model and integration process.
* Create tutorials and guidelines for future developers to extend the system.


Profil

Level: Master 2 or last year of engineering school
Speciality: Informatics, Geoinformatics, Civil Engineering
Required Skills : Computer programming, Geomatics (knowledge on Python, C++, BIM, GIS)



Prise de fonction

17/02/2025
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