Er.Meenakshi Sundaram

Academic Coordinator-MIDAS

Data Science can be applied in the field of architecture in a number of ways. Data Science techniques can be used to optimize the format of houses, deliberating factors which consist of energy overall performance, structural integrity, and occupant behaviour. Another way is by using VR or AR to visualize an environment before building it. This helps confirm and improve upon decisions that have been made regarding a certain design application.

Building format and assessment:

Data Science techniques can be used to optimize the format of houses, deliberating factors which consist of energy overall performance, structural integrity, and occupant behaviour.

Construction venture management:

Data assessment can be used to decorate the overall performance of introduction tasks through a method of identifying bottlenecks, forecasting venture timelines, and optimizing resource allocation.

Urban planning:

Data Science can help change open spaces into a park, an avenue or a square, support us to design traffic flow and offer predictive evaluation on public space usage patterns.

Facility management:

Smart buildings are capable with sensors that generate pinnacle statistics approximately the utilization of constructing resources. Data evaluators can use this statistics to identify inefficiencies in device usage and enhance comfort for the occupants.

Building ordinary overall performance assessment:

A building’s electricity intake may be analysed over time using data analysis methods and correlated with variables like weather records. This helps building owners to identify the effectivity of new technologies and make adjustments for the future.

Virtual reality (VR) and Augmented Reality (AR) applications:

Data Science techniques can be used to create realistic VR and AR reviews for use in format visualization and building simulations.

In short, some high-level benefits of the data-driven design process include faster project turnover times, reduced expenditures, and improved overall performance.