Research

Committed to building an intelligent, eco-responsible world!

Our lab

ISBA-TP and Ecole Pratique have combined their research activities to create a new laboratory called Lab2ITEC: LABoratoire de recherche des Infrastructures Intelligentes et des Technologies de l’Environnement Connecté, which focuses on intelligent technologies linked to the connected environment.

Our laboratory is located on the Campus Plurimétiers de Vaufrèges in Marseille, close to the CCIAMP training organizations. These include ISBA TP, an engineering school specializing in civil engineering and construction with a bac+5 degree, and Ecole Pratique, which trains students in digital and tertiary fields such as real estate, accounting, commerce and management from bac+2 to bac+5.

A showroom laboratory

The campus is a university building with two operational zones: an old zone and a renovated zone. These two zones are located on the same site, on two different floors. This configuration makes it possible to compare the life of a building with two environments. The instrumentation of the campus, based on a study of the data already available from the sensors already in place, the addition of well-positioned additional sensors, their power supplies and the processing of the data ensure a research project in its own right.

The goal of implementing intelligent buildings that reconcile ecological guidelines and occupant comfort is the culmination of all the research themes previously introduced within the Campus.

1

Environmental modeling
This first theme focuses on civil engineering issues. It focuses on the development and planning of urban areas:

Area 1: Soil-structure interaction, including excavation of deep structures, complex structures and soil stability studies;
Area 2: Materials and ecological impact, including the study of various constituents, thermal aspects and material behavior.

2

Intelligent modeling of energy flows
This second theme deals with the quantification, modeling and intelligent control of energy flows, with a view to predictive maintenance and energy reduction.

It comprises 4 axes:

Area 1: Sensors and communication protocols deals with the choice of sensors and data processing;
Area 2: Artificial intelligence, which addresses the implementation of predictive maintenance tools;
Area 3: Energy flows addresses the quantification of energy sources and losses;
Axis 4: BIM modeling ensures data integration on a digital platform.

3

Team & Valuation
3 HDR
2 PhDs
3 PhD students
2 Interns

2023 vs. 2022

 

     2023 vs. 2022

Partnerships

Universities & Enterprises