Artificial intelligence (AI) is usually used to conjure up images of futuristic machines we see in sci-fi movies. However, in recent times, AI is being widely used in powering digital assistants like Google Assistant, Alexa, Siri—users are availing its benefits right through their smartphones. The technology has definitely made our everyday life easier.
Artificial intelligence is now making inroads into a variety of sectors, promising lucrative commercial applications. The construction industry is among the major industries that have significantly benefited from AI. Artificial intelligence in the construction industry allows businesses to become more profitable and improve the project's quality and security.
To address the industry's current challenges, construction companies must streamline their operations. Low profitability, time overruns, funding issues, and safety concerns are some of the major problems the industry has been facing. It has been unanimously acknowledged now that digitization is the only way to go.
Companies that enhance their technology would gain a significant competitive edge over others. The construction industry can use artificial intelligence to address current problems and avoid errors made in the past. AI can assist the construction industry in a number of different ways.
When it comes to smart construction, there is no better way than incorporating AI into this industry. This article will throw light on how AI can significantly help the construction industry to achieve its full potential.
- 1. AI-Powered Insights Enhance Project Design Process
- 2. Project Management Workflow With AI Eliminates Time-Consuming Activities
- 3. Better Way Of Collecting And Analyzing Data From The Work Site
- 4. AI-Assisted Vehicles Improve Productivity
- 5. Drones And Geospatial AI For Land Surveying And Mapping
- 6. Optimized Safety Of The Construction Site
- 7. Enhanced Offsite Construction For Expediting Project Completion
- 8. Machine Learning And Data Analytics Make Sense Of Large Datasets
- 9. Automated Tracking Of Site Operation
- 10. The Optimized Construction Business Model
- Final Thoughts
1. AI-Powered Insights Enhance Project Design Process
The process of construction design is currently out of date. As a result, the construction process is being slowed down. Builders and contractors can use AI in the designing phase to gain information from existing building data, material data, and data collected from the environment, for example, to figure out the most optimal way to design and develop a project.
2. Project Management Workflow With AI Eliminates Time-Consuming Activities
The building process is plagued by tedious and time-consuming activities. A project manager is responsible for organizing the project, assigning work, and maintaining employee records. These tasks are often performed manually, wasting time and money.
Artificial intelligence is capable of performing all of these routine tasks with minimal to no errors. Another application of AI is task delegation automation. An AI system will automatically delegate tasks to employees based on their expertise, abilities, and availability using data gathered from them. This streamlines the process and encourages workers to concentrate on their field of expertise.
3. Better Way Of Collecting And Analyzing Data From The Work Site
Taking 3D scans of building sites using AI construction equipment streamlines the workflow. These 3D scans and other information can be fed into a deep neural network, which classifies the progress of the project's various aspects. This enables the management team to address minor issues before they escalate into critical problems. In the future, algorithms will assess infinite alternatives and substitutes based on similar projects using "reinforcement learning," an AI technique that allows algorithms to learn by trial and error.
4. AI-Assisted Vehicles Improve Productivity
Some companies are starting to bring self-driving construction machines into the market that can execute repetitive tasks more effectively such as excavation, welding, concrete pouring, bricklaying, and demolition. With the assistance of a human programmer, these bulldozers can plan a worksite to precise dimensions. This not only frees up the workers to focus on the actual construction job, but it also allows them to finish the project faster.
5. Drones And Geospatial AI For Land Surveying And Mapping
Drones, geospatial AI (GeoAI), and geospatial information systems (GIS) all help to cut down on the time it takes to collect detailed survey maps and aerial photos of a job site. Drones can make it much easier to keep track of project updates and problems on the construction site. This provides more information for better decision-making as well as project management.
6. Optimized Safety Of The Construction Site
Every construction site is fraught with danger. And, since numerous subcontractors in various trades work hand in hand on a construction site, the bigger the project, the greater the risk.
AI and machine learning software can be used to track and prioritize risk on a construction site. It will make it easy to rank contractors and subcontractors relating to risk scores and give priority to certain matters in safety management. This allows the project manager to work closely with high-risk staff to minimize any problems.
Furthermore, the automation of construction sites can make them a lot safer. For instance, wearable sensors can monitor the employees' whereabouts and send out warnings if they have a mishap.
7. Enhanced Offsite Construction For Expediting Project Completion
Construction is becoming increasingly reliant on offsite factories operated by autonomous machines that piece together building components, which are then assembled by workers on the worksite. In a production line, autonomous robots can build different structures such as columns, slabs, etc.faster than the human workforce. Since the autonomous machinery will be doing this job, the workers will focus on other higher-value activities.
8. Machine Learning And Data Analytics Make Sense Of Large Datasets
Machine learning methods learn from the vast amounts of data they encounter on a daily basis. As a result, any construction site becomes a prospective source of data. Machine learning makes data analytics applications "efficient" as time passes and more data becomes available. Machine learning and data analytics applications can be used to analyze data produced by smart applications, drones, and security sensors, for instance, to gain deep insights that can help optimize construction workflow.
9. Automated Tracking Of Site Operation
Construction companies would be able to make better and timely decisions based on hard data if they automate their activity tracking. AI can be used to catch, monitor, and identify anything that enters and exits the construction site, including vehicles, equipment, as well as individuals.
Enhanced insights about the construction sites can be retrieved by keeping track of what happens there. This information can be utilized to send out warnings and updates in order to prompt quick responses. This is important for avoiding safety risks, keeping track of costs and supplies, as well as maintaining employee productivity. Stakeholders can access data obtained from the construction site for real-time feedback.
10. The Optimized Construction Business Model
In today's world, clients' requirements are probably better known to an artificially intelligent machine than anyone else. AI is currently being used in a multitude of sectors to better understand consumer desires and create customized brand experiences. It won't be any different in the world of smart construction.
The new era of the building will be focused on a data-driven understanding of a client's needs. Intelligent construction will anticipate consumer patterns, allowing companies to adapt their business model to the demand in real-time. Construction companies using AI technology will be able to accurately predict which blend of services a client will find most appealing.
From initial project designs to property clean up, AI is becoming more prevalent in construction as part of a broader transition toward smart construction technology. Artificial intelligence seems to be the "construction technology's next frontier," playing a significant role in construction's emerging technology.
Future construction programs, using AI, will oversee entire projects, advising contractors on risk management, design and construction, and structural integrity of various technological solutions for major projects. That means to optimize the construction industry, the realization of how artificial intelligence can impact the construction industry is imperative.