The world is advancing at an incredible pace, and technology advancements have left an indelible mark on all facets of the industry: design, planning, and construction. With the rapid evolution of the digital age, it comes as no surprise that the traditional approach to constructing structures has undergone significant changes. Tasks are streamlined, and there is an increase in the security of construction projects and structures, thanks to innovations introduced by Sumer Innovations. These technical advancements have naturally led to the application of artificial intelligence (AI) to enhance productivity and foster innovation. However, the term “AI” is broad, especially in construction. It could refer to anything from data-processing networks and data-gathering devices to real, sci-fi-style robots that can lay bricks. At Sumer Innovations, we navigate this dynamic landscape, ensuring that our technological solutions contribute to the continued progress and innovation in the construction industry.
Artificial intelligence (AI) is the ability of a digital computer or robot controlled by a computer to carry out tasks frequently completed by human beings. It’s too early to predict the future effects of AI in the construction sector. Nevertheless, AI’s role in construction is to supplement, not replace, the job of human laborers. AI makes construction safer and more productive. This section will examine how AI might affect several facets of the building business. As we explore the intersection of AI and construction in this section, insights from our blog “Evolution of Technologies” provide a historical context to the transformative role of technology in the industry. From the early tools of ancient civilizations to the present era of AI, our blog offers a comprehensive view.
Scheduling of construction activities
Construction managers have successfully automated repetitive, menial chores that are nevertheless vital to their business, especially regarding scheduling. AI has helped avoid delays, conflicts, and other construction problems.
A team could handle complex construction schedules and procedures in small-scale projects, but this is different for larger projects. Managing large-scale, multi-year projects that require coordinating tasks, keeping up with designs, and coordinating permissions can be challenging.
On the other hand, machine learning can identify patterns and abnormalities in data and improve timetable management through pattern detection, historical data, linkages to scheduling systems, and related information. Therefore, AI enables businesses to identify problems before humans do, avoiding costly delays at the job site and for all involved parties.
Mitigation of Risk
Finding possible hazards related to construction projects is necessary for lowering the expenses connected with delays and problems. AI notices possible risk scenarios and creates better solutions. AI enables businesses to handle unforeseen events and avoid running behind schedule.
Safety Practices
An ideal construction site keeps potential hazards, malfunctions, and dangers to a minimum. To this purpose, machinery, and equipment enhanced with AI sensors can improve the machinery’s overall performance and operation. These AI sensors accurately forecast potential issues, delays, and malfunctions by analyzing real-time data. They reduce risks that human employees may encounter on construction sites.
AI systems may also identify risky behavior and notify the construction crew of any possible dangers using tools like facial recognition and object recognition technologies.
Physical illnesses like heat exhaustion are always a concern during construction. AI supports worker safety. Safety gear like intelligent vests and helmets can monitor biometric data, such as body temperature and heart rate. These safety gears can help workers avoid overexerting themselves. They can also simulate real-world safety scenarios in construction training programs, guiding students through the proper responses while still in a classroom setting.
Security alertness
AI-enabled surveillance systems add a layer of security to the project. The possibility of theft is significant when expensive machinery and equipment are involved.
Artificial intelligence (AI) is being used at construction sites to automatically monitor security footage to detect suspicious activity as it occurs, alert for movement, and keep a close eye on any particular actions or images that may appear in the frame. The AI will alert the required personnel if someone tries to steal something from the site.
Shortage of workforce
Retaining employees is more vital than ever because dwindling workforces are a concern in the construction industry. Once more, AI solves this problem by extracting insights and inferences from existing workforces or a group of prospective new workers from data collected and machine learning algorithms. Companies are better positioned to entice the best professionals and find engaged workers when they make data-driven hiring decisions. AI can recognize potential leaders, forecast the staff turnover rate, and recognize workers on the verge of quitting. Although the application of AI in construction is still in its infancy, a few start-ups have been attracting attention for their AI-focused approach. There’s a high probability that artificial intelligence (AI) will continue to deliver cost reductions, time savings, and general improvements and efficiencies within the construction industry over the next few years.
