Every year, AI expands the spectrum of activities with new industries and applications. The construction industry is no exception. In the article, we indicated several areas where AI is used. Let’s check!
Artificial intelligence in the construction industry
There are many areas where AI becomes invaluable. For example, construction companies are using AI to create digital twins of existing projects. This, in turn, allows different testing scenarios before starting construction. As a consequence, companies can save time and money.
AI is also used to create 3D models of construction projects. With this, it is easier to plan the implementation of the investment. As a result, it is much easier to understand the construction site and make the right decisions at the planning stage. So AI makes construction projects more efficient, effective, and safer.
As the construction industry continues to embrace the power of artificial intelligence, it’s crucial to partner with forward-thinking companies. KVN Construction is one such company, consistently staying ahead of the curve and integrating the latest technologies to deliver superior results in every project.
Let’s see some examples.
5 Examples of AI in the construction industry
AI FOR PROJECT PLANNING
Artificial Intelligence turns out to be helpful in planning projects. As we know, AI algorithms can analyze huge amounts of data – in this case, related to previous projects. This improves not only planning but also design. What’s more, ML algorithms can predict project costs, identify threats, and improve efficiency.
As Mordor Intelligence found, 35% of construction workers spend time correcting design defects, reworking, resolving conflicts, or communicating in paper form. With AI, the planning process is easier, and construction professionals can make better decisions.
AI INCREASES WORKSITE SAFETY
Construction is one of the most dangerous work sectors with frequent accidents and deaths. The use of AI allows for increased safety on the construction site. AI can analyze huge amounts of data in real-time to identify potential security issues. By analyzing data from previous accidents and comparing them with real data, tragedies can be prevented. What’s more, sensors fitted to the machines warn maintenance teams of a potential failure before it occurs. Thus, by predicting potential failures, AI can greatly prevent accidents on construction sites.
AI HELPS WITH RISK MITIGATION
Virtually every major construction project involves some degree of risk. Whether it’s a risk related to safety, quality, cost, human error, or time, construction companies try to deal with it. And as AI ensures the automation of many processes, construction workers don’t have to perform certain tasks manually. Also, the two points mentioned above show the impact of AI on risk management in the construction industry.
AI ENABLES THE BETTER DESIGN OF BUILDINGS
AI is also used in the construction industry to design a building through generative design. Building Information Modeling (BIM) is a process that uses 3D models. It provides construction professionals with insights into building planning, design, construction, and management. For planning and designing construction projects, 3D models should take into account the following elements:
- Architectural, engineering, mechanical, electrical, and plumbing plans
- The sequencing of activities among the different teams
Models from sub-teams must not clash with each other. This is why the construction industry is using AI to identify and mitigate conflicts between generated models and teams. With this, construction workers don’t need to do any rework.
AI PREVENTS COST OVERRUNS
Last but not least is the use of AI to prevent cost overruns. It is common for construction projects to go over budget due to various design factors. These are, for example, inaccurate forecasts, design errors, or unforeseen random events. IDC conducted a survey showing that 75% of owners were over-planned budgets on their projects, and 77% were late. This is why many construction companies are choosing to implement AI to predict future exceedances. To this end, AI models take into account factors such as the following:
- Project size
- Materials used
- The complexity of the task
Predictive models also analyze historical data related to project start and end dates. As a result, it is possible to predict a realistic completion date for future projects.
AI is achieving amazing results in the construction industry. Along with robotics, it can significantly reduce construction costs. That’s why many forward-thinking companies choose to implement this technology. Primarily to save time, and money, increase accidents, reduce risk, and increase productivity. Hence, Artificial Intelligence has huge potential that will push the industry forward.