Insight Smart Cities

Smart Cities, intelligence at the heart of the cities of tomorrow

Smart Cities use technology to improve the quality of life of inhabitants. Drawing on an ecosystem of objects and services, it also aims to set cities on the road towards sustainable development. In addition to the services it aims to offer to its inhabitants, the Smart City is cleaner, more eco-friendly and “liveable” for all. 

More connectivity and greater technological and environmental performance

In Smart Cities, street lamps will light up only when people are passing, parking spaces will inform your connected devices that they are free and traffic lights will alternate according to real-time needs, thus reducing the city’s electricity consumption and CO2 emissions. The city’s garbage bins will indicate when they are full and need to be collected. The sprinkler system watering the city's gardens and plants will be connected to the weather and decide whether or not they will turn on, thus reducing water waste. Smart Cities develop data centres capable of processing the data of all the players involved, with the aim of optimising urban services. The smart city thus creates an efficient ecosystem integrating better management of the city in a setting that respects the environment and offers optimum comfort to its users. This data analysis requires different certification levels, for which support from a trusted third party in the construction of infrastructure and industry is necessary.

From smart building to green building: Making green data interoperable

Integrating a large quantity of information and helping to prevent digital “waste” due to flaws in interoperability, Building Information Modelling (BIM) enables information centralisation analysis. Built around a Common Data Environment (CDE), BIM can use open languages compatible with the different information sources. To this end, market BIM standards such as the Industry Foundation Classes (IFC) have been developed in recent years and incorporate such capabilities as data structuring as a function of environmental impact. By making the green information from the model interoperable with other classification systems, multiple underlying options can be considered, such as extraction of financial green value by identifying the CAPEX-OPEX produced throughout the building’s life cycle.