According to the Global Construction Industry Report for 2021, the construction sector around the world will reach the monumental 10 trillion dollar mark! An overwhelming amount of this money will be spent on acquiring newer technologies to improve workflow, management and operations in the construction industry and artificial intelligence will be a crucial part of that. Here are a few ways latest AI can help construction companies. Let’s take a look at them.
1. AI can help stop cost overruns
Despite having the greatest development teams, most large projects go above the budgeted plans. Artificial neural networks anticipate cost increases of project managers’ expenditures based on criteria such as work involved, type of contract and skill levels. AI allows employees to have access to real-life learning to improve their abilities remotely.
2. Generative design with AI makes better buildings
Information Building Modeling is a 3D model based technique which provides expert insight in design, engineering and constructing. The industry can utilize AI-enabled generative designs with constant machine learning to detect and alleviate conflicts among the many models created by the various teams.
3. Risk mitigation
On the job site, project managers employ AI and machine learning to assess and prioritize different risk types. Using these modules, construction managers can engage closely with teams that are potentially in more danger to reduce risk by assigning a risk rating to subcontractors.
4. Project planning
Robots and artificial intelligence are used by many construction intelligence firms to address late and overbudget building projects. It employs robots to collect 3D images of building sites independently, then feeds the information into a deep neural network. If things begin to go amiss, the management team can intervene to address minor issues.
5. AI can increase productivity
Self-driving bulldozers are more productive than humans in performing repetitive work. Excavators that are driverless or semi-autonomous can be used to scrape and prepare the ground. This opens up time for the human labour to do their actual building jobs, reducing the overall project completion time.
6. Construction safety with AI
Construction workers are 5 times more likely than employees from other sectors to die during their jobs. For instance, a firm based in Boston develops an algorithm that analyses images from construction worksite, examines them for safety concerns such as employees not wearing protective gear, and compares them to previous accident data. According to the firm, it may possibly compute risk assessments for projects in order to hold safety briefings when an elevated hazard is recognised.
7. Labor shortages can be better handled with AI
To boost efficiency, construction companies are constantly looking into artificial intelligence and data science. According to a McKinsey research, real-time statistical analysis may increase construction performance over 50%. Construction businesses are beginning to utilise AI and machine learning to better organise manpower and machinery allocation.
For instance, Spot the Dog is an AI-enabled robot that keeps track of task progress and worker and gear placement. Project managers can see right once whether job locations have enough personnel to finish the project on time and which are behind track. Every evening, Spot the Dog can scan a worksite to keep track of developments.