What if you could optimize your construction projects to finish them ahead of schedule, under budget, and with fewer safety risks? It’s not a pipe dream, it’s a not-so-distant future powered by Artificial Intelligence (AI).
A Mordor Intelligence report concludes that the construction AI applications market is worth $3.99 billion in 2024 and is expected to reach $11.85 billion by 2029.
AI and machine learning applications will grow massively, and it seems like the right time to adopt them before they become the norm.
Let's understand how AI applications
construction management
in the sector. We will explore use cases and oman number data discover tools that will help you incorporate AI into your daily activity in the construction sector.
Understanding AI in Construction
The construction industry is undergoing a transformation. It is embracing cutting-edge technologies such as artificial intelligence and machine learning across all phases, from design and planning to construction and facility management.
As this is a high-risk business, accidents and safety incidents often affect the physical well-being of workers and cause costly setbacks.
In this case, AI can be a game changer.
AI is already being used to monitor interactions between machinery, workers and elements in the workplace in real time. Managers are easily notified of potential safety issues, design flaws and productivity problems.
So, to improve efficiency and mitigate injuries and money losses, using AI in pre-construction phases such as planning, design, building information modeling, and generative design can be beneficial.
Let's explore some use cases to understand it in more detail.
How to use AI in construction for different use cases
Construction relies heavily on human knowledge, experience and judgment, which AI cannot replace. Instead, AI will transform roles and responsibilities in ways that help construction companies seize new strategic opportunities.
You will streamline your operations, make better data-driven decisions, and outpace competitors who have not yet adopted these technologies.
But how can AI be used in construction?
1. Automation of works to increase productivity
The construction industry is deploying automated machines to monitor work on construction sites. This includes smart equipment for repetitive tasks such as concrete pouring, welding, bricklaying and demolition. Even excavators can be autonomous or semi-autonomous to perform excavation and site preparation tasks.
These robots work precisely based on pre-programmed specifications, freeing up human workers for more complex construction activities. The benefits are twofold: faster project completion and reduced worker injuries.
On-site project managers use AI tools such as facial recognition and construction site cameras to monitor worker productivity and track progress in real time. Built Robotics has developed autonomous construction equipment such as excavators and bulldozers that can operate without a human operator on board. These vehicles are equipped with advanced sensors, cameras, and AI-based software that allows them to navigate construction sites, perform tasks such as excavating, grading, and handling materials, and coordinate with other autonomous equipment. This not only increases productivity but also improves safety by removing human workers from hazardous environments.
2. Better planning and design
AI algorithms can explore broad design possibilities, taking into account factors such as materials, costs, and regulations. This enables architects and engineers to generate innovative designs that meet project goals.
Consider analyzing historical data to predict potential issues during construction, such as weather-related delays or material shortages. This foresight allows for better planning of mitigation strategies.
AI can significantly improve building information modeling (BIM) solutions by automating time-consuming and error-prone tasks.
For example, AI can automatically identify and flag potential conflicts between different building elements, such as MEP (mechanical, electrical, and plumbing) systems and structural components. All of this allows for earlier detection, correction of problems, and avoiding costly rework in the future.