Examples of artificial intelligence (AI) in construction are increasingly common throughout the industry, from planning to building.
Copyright by www.datamation.com
Construction professionals are turning to AI to add efficiency and accuracy to projects, monitor and track equipment usage and location, and a long list of other AI-driven applications.
Research and Markets reports that construction-related activities bring in over $10 trillion every year, a figure expected to grow by 4.2% through 2023. AI is helping to grow the industry.
In its article, “Artificial intelligence: Construction technology’s next frontier,” McKinsey & Company identifies AI as a critical component of modern engineering and construction approaches. AI technologies, the firm reports, help these industries solve some of their greatest challenges, including cost and schedule overruns and safety concerns.
AI can be found in construction throughout project life cycles — including inception and design, bidding, financing, transportation management — and operations and asset management.
Here, we take a look at some ways AI in being used in construction:
5 Examples Of AI In Construction
1. Generative Design Is Improving The Way Teams Create 3D Models
Over the past several years, building information modeling (BIM) has emerged as a new (and better) way to create the 3D models that construction professionals rely on to accurately design, build, and repair. Today, BIM platform programmers are improving the capabilities of BIM with smart, AI-driven features.
BIM applies various types of tools and technology, including machine learning (ML), to help teams avoid a common, costly issue: duplicated work. All too often, sub-teams working on shared projects spend time creating models that other sub-teams have already created. With BIM, users “teach” machines to use algorithms to generate designs with multiple variations. As the AI builds models, it learns from each iteration until it comes up with the ideal model.
Thank you for reading this post, don't forget to subscribe to our AI NAVIGATOR!
BIM adoption is on the rise. A recent Dodge Data and Autodesk study, “Accelerating Digital Transformation Through BIM SmartMarket Report,” concluded that BIM is at the heart of a trend toward increased digitalization in the construction sector. The study found that nearly half (47%) of “high-intensity” construction-focused BIM users are close to achieving their overarching digital transformation goals.
2. AI Can Help Construction Managers Measure Site Progress
Companies like Droxel are using AI solutions that track progress on construction projects and provide real-time measurements of quality and project progress. Droxel creates robots equipped with cameras that can autonomously move through the construction site to capture 3D “point clouds.” Effectively, the company says, the AI-powered robots create digital twins of job sites.
Once a complete digital model is in place, Doxel uses a neural network to process project data and cross-references it against information from the BIM and bill of materials. The generated information is helpful for project managers, especially those who need to keep track of large-scale projects with thousands of moving parts. These insights include: […]
Read more: www.datamation.com
Examples of artificial intelligence (AI) in construction are increasingly common throughout the industry, from planning to building.
Copyright by www.datamation.com
Research and Markets reports that construction-related activities bring in over $10 trillion every year, a figure expected to grow by 4.2% through 2023. AI is helping to grow the industry.
In its article, “Artificial intelligence: Construction technology’s next frontier,” McKinsey & Company identifies AI as a critical component of modern engineering and construction approaches. AI technologies, the firm reports, help these industries solve some of their greatest challenges, including cost and schedule overruns and safety concerns.
AI can be found in construction throughout project life cycles — including inception and design, bidding, financing, transportation management — and operations and asset management.
Here, we take a look at some ways AI in being used in construction:
5 Examples Of AI In Construction
1. Generative Design Is Improving The Way Teams Create 3D Models
Over the past several years, building information modeling (BIM) has emerged as a new (and better) way to create the 3D models that construction professionals rely on to accurately design, build, and repair. Today, BIM platform programmers are improving the capabilities of BIM with smart, AI-driven features.
BIM applies various types of tools and technology, including machine learning (ML), to help teams avoid a common, costly issue: duplicated work. All too often, sub-teams working on shared projects spend time creating models that other sub-teams have already created. With BIM, users “teach” machines to use algorithms to generate designs with multiple variations. As the AI builds models, it learns from each iteration until it comes up with the ideal model.
Thank you for reading this post, don't forget to subscribe to our AI NAVIGATOR!
BIM adoption is on the rise. A recent Dodge Data and Autodesk study, “Accelerating Digital Transformation Through BIM SmartMarket Report,” concluded that BIM is at the heart of a trend toward increased digitalization in the construction sector. The study found that nearly half (47%) of “high-intensity” construction-focused BIM users are close to achieving their overarching digital transformation goals.
2. AI Can Help Construction Managers Measure Site Progress
Companies like Droxel are using AI solutions that track progress on construction projects and provide real-time measurements of quality and project progress. Droxel creates robots equipped with cameras that can autonomously move through the construction site to capture 3D “point clouds.” Effectively, the company says, the AI-powered robots create digital twins of job sites.
Once a complete digital model is in place, Doxel uses a neural network to process project data and cross-references it against information from the BIM and bill of materials. The generated information is helpful for project managers, especially those who need to keep track of large-scale projects with thousands of moving parts. These insights include: […]
Read more: www.datamation.com
Share this: