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9100888803/04/05
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9100888803/04/05With the expansion of the world, in terms of population, we are witnessing a tremendous growth in the real estate sector, especially the construction segment. To keep up the pace with the growth of the world, this construction sector has begun to embrace technology and some innovative construction technologies are changing the way we build. This is the time when AI marches in construction.
AI stands for Artificial Intelligence and this word is no more a fantasy now. AI helps to overcome some of the toughest challenges of the construction sector like safety concerns, labour shortages, and cost and schedule overruns. It plays a major role in the future of the construction sector. The pool of data that is obtained from mobile devices, drone videos, security sensors, building information modelling (BIM) and others helps to analyse, understand and then take a lead from the insights produced by the data, with the help of AI and machine learning systems.
The potential of AI in Construction is very vast and there are several applications that are already using AI in the field of construction. AI has the potential to transform the construction industry into one of the most modern and technology equipped sectors. AI can help this sector to make construction projects more efficient and accurate. A few benefits of AI in the field of construction are mentioned here.
As we know, construction sites are usually prone to accidents but AI can analyse and predict risks and then avoid such accidents. AI has the ability to quickly obtain and analyse huge amounts of data in real time, hence can forecast any safety, quality, and productivity issues. By keeping an eye on the photos and the videos taken through the software, the project manager can identify the potential risk and take action immediately. This helps to reduce the risk of accidents on construction sites. AI can identify unsafe actions or possible hazards on site and can also envisage machine breakdowns using sensor data and decide on corrective actions to be taken. This capability of AI decreases the probability of accidents and develops the safety of workers on construction sites. Unsafe scaffolding, water logging, and personnel missing protective equipment like gloves, helmets, and safety glasses can also be recovered by checking at the reports pertaining to potential safety risks, all due to AI.
AI helps for better design of buildings through generative designs and helps prevent clashing of sub teams and puts off rework. It facilitates the construction project’s planning process by analysing and learning from past data to make better decisions for the future.
AI can work out the best design alternatives by going through huge amounts of data and exploring various models, created by different teams. AI helps to create 3D models of construction projects as per the set requirements. It also recommends the team to take steps in such a way that the entire team of architects, engineers, contractors and designers manage all the stages more efficiently.
Risks at a construction site come in the form of quality, safety, time, and cost. The bigger the project, the greater the risk! Each and every construction project needs a well-defined management plan to overcome the risks associated with quality, safety, timeframes, human error, miscalculation, etc. With the entry of AI in the field of construction, the constructional professionals get additional time to concentrate on more strategic tasks, as AI brings in automation and reduces the hours of manual work. It helps to assign priority to issues and the project team can focus their limited time and resources on the biggest risk factors and mitigate risk. Due to these reasons, reputed construction companies are embracing AI and reducing the risks during the process of construction.
Most of the construction projects used to overrun the budgets due to some flaws in design, inaccurate forecasts, unforeseen events, augmented scope, and various other reasons. They used to be either over the budget or used to run late. Now that AI marches into construction, companies are able to generate reports for past projects, find out the source of the overruns and plan on more accurate budget forecasts for future projects. AI can foresee cost overruns based on type of the contract, size of the project, and expertise of project managers and visualise realistic timelines for the future projects. AI uses the past data that mentions planned start and end dates of projects and envisions realistic timelines for future projects. AI also helps the staff to enhance their skills and knowledge by providing remotely access to real-life training material, so that they can easily use the new resources on the project, thus saving the delivery time and the rework on the construction site. .
A number of construction sites are using self-driving construction machinery to perform repetitive tasks such as pouring concrete, bricklaying, welding, and demolition. These machines are more efficient than their corresponding human counterparts. Excavation and prep work can also be performed by autonomous or semi-autonomous bulldozers, thus reducing time to complete the project. AI technology by use of facial recognition, onsite cameras, and similar technologies helps the Project managers to track job site work in real time and assess worker productivity.
A number of offsite factories staffed by autonomous robots create and then piece together components of a building. These pieces are then pieced together on the construction site by human workers. This is called Precast technology where the pieces are prepared in the factory and then assembled on the construction site. Autonomous machinery helps to complete structures like walls more quickly and efficiently, just leaving off the other details like plumbing, HVAC and electrical systems for the human workers to finish off.
We all have begun to understand the role of AI in our society and now we also know its duties and benefits in the construction sector. AI holds the potential of helping the players of construction throughout the life cycles of their projects. It helps in Design, bidding, and financing; procurement and construction; operations and asset management; and, business model transformation. In the construction sector, AI helps to overcome some of the toughest challenges like safety concerns, labour shortages, cost and schedule overruns. AI also helps to plan the routing of electrical and plumbing systems in modern buildings. It helps to develop safety systems for workers on the construction sites. It also helps to track the real-time interactions of workers, machinery, and objects on the site and alert supervisors of potential safety issues, construction errors, and productivity issues. Therefore, we can say that AI marches into construction and raises the bar of construction sites.