Just like in the other industries, in the construction industry big data is the large amounts of the information that keeps being acquired. This data comes from computers, people, sensors and other agents or devices that generate data. Naturally, that’s what makes the data big.
Big data exists in all records and plans of what has been built ever. It also keeps increasing due to additional input from different cranes, on-site workers, material suppliers, earth movers, and buildings themselves. The construction industry uses the big data in different ways including the following.
The big data includes modeling and design itself. It also includes environmental data, social media discussions, and stakeholder input. This data is used to determine what to construct and where to construct. Using big data, it’s possible to determine the right place to build a facility. Big data analysis enables players in the construction industry to determine construction risks and patterns of new projects.
Contractors analyze big data from traffic, weather, business and community activity to determine the right phasing for construction activities. Input of sensors from the machines that are used in construction sites show idle and active time. This information is processed to come up with conclusions on the best way to lease or buy equipment as well as use fuel-efficient equipment. This reduces ecological impact and costs.
Sensors provide big data that is used in the construction of buildings and bridges. This data makes monitoring construction at different levels easy. Energy conservation in buildings like office blocks and malls is tracked to come up with structures that conform to the best design goals. Information about traffic stress and flexing levels in bridges is also recorded and used in detecting unusual events.
Basically, the construction industry uses the big data in different ways. This data plays a crucial role of improving quality of the modern structures.