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Artificial intelligence is a product of the constant need for data innovation.
It is often used interchangeably with the concepts of robotics and automation and confused with machine learning or algorithms.
1. Artificial intelligence for building design
Building Information Modeling (BIM) is a 3D model-based software that creates a digital model of a building.
All project stakeholders such as architect, client, builders and suppliers can work on this digital model to design, plan and manage buildings productively.
To create a building for a specific project,
the BIM 3D model takes into account all the required information from the civil, mechanical, architectural, electrical and plumbing plans.
The impact of each plan is taken into consideration and therefore each activity is planned.
The challenge is to ensure that the different paradigms of the subsets do not conflict with each other.
As the construction industry tries to use artificial intelligence as a production plan to recognize and reduce collisions between different models,
produced by the different groups in the initial drawing and working phases to prevent re-work.
The researchers are developing new programming software that uses artificial intelligence to investigate variations in each solution.
and production of design alternatives.
These programs use artificial intelligence to make 3D models of mechanical, electrical,
and plumbing (MEP) systems.
While ensuring that full MEP systems courses do not conflict with the structure design.
An example of such software is Tekla Structures.
2. Artificial intelligence for project planning
In 2018, an AI startup claimed that AI and bots hold the key to solving overspending and delays in construction projects.
The company uses bots to automatically capture the 3D output of a building block and feeds this information into an artificial neural network that determines how complete various subprojects are.
If things seem off track, the supervisory group can step in to fix small issues before they become big problems.
Reinforcement learning is a new artificial intelligence technique developed with algorithms of the future.
This technique allows algorithms to learn from field experiments.
It can scan countless combinations and options based on data usage from similar projects done in the past.
It helps in project planning because it provides the best possible solution and repairs itself over time.
3. Artificial intelligence for construction safety
In the construction industry, construction worker mortality is five times higher than that of other industries.
According to the Occupational Safety and Health Administration (OSHA),
the major sources of accidents in construction are due to falling objects and electric shock.
A Boston general contractor with annual revenues of $3 billion is developing an algorithm that scans photos from her workplace.
He scanned them for security risks, for example,
workers not wearing defensive gear and linked the photos to his accident records.
The company says it can visualize potential risks for projects to hold safety briefings when a threat is identified.
4. Artificial intelligence to prevent cost overruns
Even by hiring the best project management team, most large projects spend more than budget.
To track spending, artificial neural networks are used to predict cost overruns.
The neural network predicts cost overruns based on factors such as contract type, project size, and project leader competency.
Verifiable information is used, for example, earliest start and end times,
Latest start and finish times for similar projects, by predictive models to calculate reasonable schedules for future projects.
AI helps workers provide remote material handling training, which helps workers quickly improve their knowledge and skills.
This reduces the time required to install new assets on projects and facilitates early project delivery.
5. Artificial intelligence to improve productivity
Some companies sell self-driving construction equipment that can perform monotonous activities more productively than their human counterparts.
Examples of such construction equipment are formwork machines,
automatic welding machines, automated bricklayers, and automatic demolishers.
Preliminary site preparation or excavation work can be carried out by automatic or semi-automatic bulldozers,
Which can create the construction site with the help of a human programmer to provide the exact specifications required by the construction drawings.
Therefore, human factor requirements in construction work can be removed and thus the total time needed to finish the project can be reduced.
Task supervisors can also follow the progress of work on the job site.
And supervisors can use biometric systems,
facial recognition systems, and similar innovative technologies to check worker productivity.
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