Introduction to AI in Construction Industry
This is the era of technology. People are constructing buildings and roads on a large scale. To complete all construction, construction companies need huge efficient manpower and engineers. So, companies spend huge money on engineers and workers. The chance of accidents on construction site is very high; hence the risk of loss of workers due to accidents on construction sites are also very high. Companies face issues such as loss of money, worker and some legal problems due to accidents on construction sites.
Artificial Intelligence can relieve companies from these problems. Robotic processes can accomplish all precarious constructions as fewer workers will be involved in construction sites due to the involvement of robotic technology. Human loss chances will decrease, and AI will relife companies of legal issues. Companies can monitor all workers on the construction sites with live streaming. Also, AI will save time and money for companies.
A is the reproduction of intelligent human processes, especially machines and computer systems. Taken From Article, Artificial Intelligence Adoption Best Practices
What are the Applications of AI in the Construction Industry
The best applications of Artificial Intelligence in the Construction Industry are described below:
Building Design with AI
Building information modeling (BIM) is a 3D model-based software used to create digital models of buildings. BIM software is user-friendly. It can use by architects, builders, and even clients. It develops an efficient design of the buildings and also manages buildings. The BIM 3D model gets all the required data from the engineers, helps to build the model, and plans activities.
Project Management with AI
Many of the time, companies suffer from delays in construction projects. Hence, it faces the issue of customer satisfaction and sometimes causes money loss. To solve such problems, companies use robots that capture the 3D outputs of the construction sites and pass that information to the neural networks to determine the site's progress. It can also alert in case of a delay in the completion of construction.
AI for Construction Safety
In construction, the death rate is very high compared to any other industry. And primary sources of accidents in construction sites are due to the fall of objects and electric shocks. With the help of Artificial Intelligence technology, construction companies can examine construction sites from photographs and cctv to take defensive measures to reduce accidents on the sites.
BIM 360 IQ by Autodesk
Autodesk started the BIM 360 Project IQ secondhand for commodity growth. With the help of machine intelligence. Autodesk anticipates and prioritizes extreme-risk issues in some incident projects. It further cautions about the project subcontractor risk. It gathers facts from the creation of the home in the form of visual and audio entertainment transmitted via radio waves, television, and building administration documents. All these facts are used to call risks and issues in creation sites.
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Compact Assist by Volvo Construction Equipment
For construction sites, it automatically maps compactor-recorded temperatures and pictures. And inform the company whether the site's temperature is suitable for construction. It provides many more facilities to construction companies. Density direct is the most important feature of compact assist software. Density Direct can adapt to new asphalt mixes and lifts and automatically calibrate to final density requirements.
Monitoring and Maintenance
Using robotics technology in the construction industry, well-maintenance is possible. Due to fast construction on the sites, it is hard to maintain everything efficiently. That's why robotic machines are now helping workers perform every task properly on construction sites. Artificial Intelligence technologies help to monitor construction sites. With the help of real-time images and 3D models of the sites, companies can monitor the sites and workers. Even real-time interaction with the workers is possible with the help of technology.
Construction components development with Robots
In construction, labor needs various components. Companies spend a large amount of money to make such components. Nowadays, companies are starting to take help from technologies to decrease their spending to make these components. Robots save money and time and increase the required components available in the development sites using artificial intelligence and robotic technology.
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What are the Benefits of AI in Construction Industry?
- Artificial Intelligence and robots are filling labor shortages in construction sites.
- Robots will perform faster than a human. Development on the construction site will complete on time.
- As all data is provided to the system and everything is pre-programmed, the possibility of error will be minimal.
- AI technologies will increase the efficiency of the job assigned to the system.
- Artificial Intelligence technologies help companies to monitor and manage construction sites in an organized way.
- Artificial intelligence and robotics technology saves money. In the past, companies spent a large amount of money to compensate accident-injured workers and accidentally dead workers' families.
Use Cases of AI in the Construction Industry
Designing and Planning: AI-based technologies in the construction industry enable superior structural design methodology, creating simulations and planning based on vast amounts of data from building designs to optimized utility designs. A prime example is AI applications in building information modeling that optimize architecture and design for construction.
Construction using Robots: The construction industry has started using robots powered by AI for precise work. Robots can have fewer errors, automate menial tasks, or perform high-risk or high-precision work longer and more efficiently.
Supply Chain Management: Construction requires raw materials and labor supplies, which can be optimized using ML algorithms, saving millions in each project. Manufacturing, supply, and procurement of raw materials can be optimized using ML algorithms predicting price and quantity, optimizing and streamlining the construction process.
Management and Optimization: AI power software coupled with IoT devices can provide complete observability, making construction process management easy. ML algorithms are Monitoring progress in real-time is possible because of AI-powered systems. Drones and cameras equipped with computer vision technology can track and monitor the progress, whereas ML and DL algorithms can compare the progress with the actual design.
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Market Trend for AI in the Construction Industry over the years
Smart construction refers to the process from conceptual design to construction with the help of digital technologies and modern techniques to improve productivity and optimize costs. The goal is to create more modern and sustainable solutions.
Some examples of intelligent construction with AI enablements:
- AI plays a vital role in building information modeling and construction management in intelligent construction.
- AI techniques like Computer Vision are used to analyze terrain and create virtual models of the building, helping in the project's design phase.
- AI, specifically machine learning algorithms, is used to optimize the energy consumption of construction projects like buildings.
- Simulations created by Deep learning models are helping the industry create smart materials and test them with almost no risk and low cost of experimentation.
Conclusion
Currently, the construction industry is growing at a tremendous speed. In a short time span completing any construction is a big challenge. All companies are mostly facing labor shortages, legal problems due to accidents, and many more. That's why companies are starting to take help from AI technologies. And the beneficial effects of Artificial Intelligence in the construction industry can be observed. Now, companies are completing construction almost on time, and the accident rate in the construction industry has decreased compared to the previous accident rate.
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