AI in Construction: Future-Proofing the Construction Industry

Planning and Designing

The most popular applications of AI in construction are in planning and designing. BIM, or the Building Information Modelling process led by AI, is an excellent example of AI in construction. Construction engineers often implement this process to develop AI-powered generative design, which architects, mechanics, plumbers, and all involved parties run. This leads to a collaborative and ergonomic approach to designing a construction project.
Iterations of these approaches ensure that the design is well-planned and executed. It also helps the client visualize the construction project before laying the foundation stone.

Robotics in Construction

New-age construction companies are also using intelligent robots to perform various tasks. As construction sites are hazardous, replacing human personnel with robots is another market trend. Robots capture 3D pictures, which are then tallied with BIM processes using different ML techniques and neural networks. Robots are also used for:

Customer Service

AI-powered chatbots are increasingly common in customer service and comparatively more efficient than their human counterparts. Such intelligent chatbots are capable of handling simple requests without the need for human intermediation. Such software is also designed to respond in the most humane way possible.

Assembly

Assembly operations in big factories are often laborious and time-consuming, demanding huge manpower to function. However, robots have changed the way assembly operations are performed. With the help of advanced forecasting abilities and real-time error detection and correction, robots in assembly operations optimize assembly workflows efficiently.

Packaging

Another tremendous and widespread application of AI-coupled robots is in the packaging industry. Amazon, the world’s largest retailer and packager of goods, along with Agility Robotics, have developed intelligent packaging robot systems such as Sequoia and Digit, which are excellent examples of robots in packaging. Intelligent robots improve the accuracy and resourcefulness of daily operations and increase their cost-effectiveness.

Imaging

Visual acuity and image recognition are the new currency for many industries. Accurate imaging and recognition are instrumental in most initiatives for various purposes, such as security and image recognition competencies, more excellent details, and image studies.

Examples of artificial intelligence in construction include AI-powered robots equipped with cameras to capture 3D pictures at construction sites.

Surveillance and Mapping

Another application of AI in construction is surveillance and mapping of progress. With the help of drones and VSaaS platforms (Video surveillance as a service), the construction sector is observing a new way of performing its day-to-day tasks. Drones are employed actively and resourcefully, from generating high-resolution images of project sites to enabling real-time monitoring of issues to avoid escalation and damage. These provide high accuracy and take care of dangerous tasks often life-threatening for construction workers, such as high alti surveillance, underground mapping, crack identification, etc.

Predictive Analysis

AI algorithms are also being used in AI vehemently to project future outcomes while optimizing processes involving allocation of resources, scheduling, and budget address. Until recently, the construction sector has limited access to data analysis tools that can help make calculated decisions like it has been doing for other industries. Today, construction companies employ advanced predictive tools, most commonly being IBM SPSS, 6sense, Radius, IBM SPSS Statistics, and Appier.

Better design

WeWork, a workspace startup, employed machine learning algorithms to predict the frequency of need for conference rooms and then ergonomically designed the said coworking spaces for their clients. This is a prime example of how AI in construction can be implemented to work up real estate and living space designs that are sustainable, ergonomic, and devoid of human flaws. Another stellar example of artificial intelligence in the construction industry is Autodesk’s collaboration with Daisy AI Inc., which was used to optimize timber floors and their layout. The two organizations developed the tool to develop software that found the best plausible and generative design for mass timber construction.