This article is part of a blog series, which explores the future of Artificial Intelligence (AI) in construction.
The construction industry is facing quite complex challenges, cost and time overruns, health and safety, productivity, and labor shortages. The industry has not developed digitalization as far as other industries have, preventing it to address the challenges it currently faces.
Artificial Intelligence (AI), and its associated technologies, like machine learning, knowledge-based systems, computer vision, robotics and optimization have been introduced in other industries to achieve great benefits such as:
AI applications in the construction industry present opportunities but also challenges to fully implementing the right solutions. Due to the absence of adequate digital skills, and poor technology adoption, the industry has not yet overcome its poor performance in terms of:
Artificial intelligence could help to improve automation and provide superior competitive advantages compared to conventional approaches. Here is how the application of AI and its subdomains can address the construction challenges:
Integrated with robotics AI could help:
So why is AI so little used in construction? Is it due to:
It could be all of the above! To address these issues we have made some research on how AI applications could be developed. We explore in this article the challenges and future opportunities for AI applications in the construction industry.
Intelligent machines surpass humans in learning how to take advantage of technologies such as big data and computer processing power. The major AI solutions can solve the following issues:
Over 60% of AI applications in the construction industry are using quantum computing, Cybersecurity, the Internet of Things (IoT), and Blockchain technologies.
AI delivers proven results in reducing cost and time, improving safety, getting better accuracy, and overall increased productivity.
The main challenges of implementing AI in construction come from the fact that:
The adoption of AI techniques combined with Building Information Modelling (BIM) helps:
Quantum computing solves computational tasks more efficiently than classical computers. AI can use Quantum computing to accelerate problem-solving.
The IoT uses sensors, actuators, wireless technologies (e.g. RFID), cloud computing, and faster and cheaper devices with increased processing capabilities.
The IoT, integrated with AI, can solve energy-saving issues.
The IoT-enabled BIM platforms improve real-time visibility and traceability in modular and prefabrication construction technics. IoT can also generate early warnings and alarms in hazardous construction sites.
The threats are common in the construction industry. Cybercrimes have increased with the introduction of level 3 BIM, the use of immersive technologies (AR/VR), the IoT, and AI. By using cryptology Blockchain integrated with AI can help to ensure the legitimacy of transactions and secure data.
Waste in construction and demolition is rapidly and continually developing. They are detrimental to the environment, a paradigm change in waste management using advanced data analytics could minimize waste extensively thanks to:
Here are the seven major opportunities and benefits for AI applications in the construction industry:
AI-based estimation models help to produce accurate estimates, at the early stages of a project, reducing economic and financial risks.
Using BIM 4D (time) and 5D (costs) with AI, increases the accuracy and reliability of cost and time estimates in the construction industry.
BIM automation with AI, for cost and time estimation processes, can even further reduce the work of cost estimators.
Thanks to the IoT sensors and AI, used on construction sites, the industry is moving to smart site management.
A large volume of images, videos, and other forms of data can be collected in real-time from construction sites. AI aggregates these data in BIM and analyses performances to improve project management and optimize:
Construction jobs are evolving rapidly thanks to automation using technologies such as AI and IoT:
medium to low educated jobs are at high risk (38–45%) to disappear due to the introduction of AI by the mid-2030s, but low to medium-skilled workers will be able, with little training, to change their work, to become trainers and testers of the new systems.
New roles will be needed such as BIM project managers, technical coordinators in design, AI researcher engineers, etc.
BIM is now adopted worldwide. The UK government even mandated BIM level 2 for all publicly procured projects.
But BIM adoption in small projects is still very low. Combining BIM applications with AI subdomains such as voice integration, and messaging systems, can accelerate the transfer of data amongst the various stakeholders of a project and speed up significantly the communication, data recording, and archiving processes.
AI introduced in the supply chain process will help to deliver projects on time and on budget.
The major issues in supply chain excellence and outcomes are linked to a lack of knowledge education and supply chain culture. AI techniques can play a significant role in solving these issues.
The introduction of IoT-based real-time risk monitoring systems will help improve product quality and mitigate safety risks.
Real-time integration of decentralized supply chains using blockchain and AI will guarantee the transparency and legitimacy of transactions and help solve the lack of trust and poor communication issues in the construction supply chain.
AI can be used to manage the whole supply chain process to detect potential issues early and deliver projects on time, on budget, and with high quality.
Ai introduced in the Health and Safety management will reduce potential accidents.
The construction industry has a higher risk of injuries and deaths than other industries due to working on heights, getting trapped, falling objects ( equipment and tools), dust and toxic materials, and loss of hearing due to noise. It means that companies could:
AI, associated with the following technologies, may significantly reduce health and safety issues and lower accident risks:
Construction contract management can be very complex due to the number of stakeholders involved in a project. Mistakes often have huge implications like litigation costs, project delays, and loss of reputation.
Automation of contract management with AI will speed up the process and improve the accuracy of data. Driving Vision use Plannerly to create clients’ contracts to:
Artificial intelligence has, until recently, been considered a futuristic science fiction robot. You are probably more familiar with AI than you think. You are probably using Amazon’s Alexa or the automated spelling mistakes on your smartphones.
The construction industry is benefiting greatly from AI:
McKinsey predicts that a monumental shift is coming in the near future. AI has to be used in the construction industry to streamline operations to solve well-known problems in the industry today:
AI is the future of the construction industry it can:
help construction managers measure site progress:
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