When the construction workers are old, robots come to build buildings - Construction workers are unemployed
Imagine a scene like this.
Before you stand in a ridiculous open space, bring your AR helmet. The AR equipment will show you a perfect modern community with trees, flowers and flowers. When you look up at your home, the sun shines with modern architecture.
This may be the future of architecture. Built with robots, sensed with AR, experienced with VR, connected with cloud and big data, and then with the Internet of Things, when AI meets the construction industry, the imagination it brings is so tempting.
All this is the result of the AI+ construction industry. When AI really permeates all parts of the construction industry, it seems to provide a solution to the current shortage of construction workers that countries suffer from when the ageing “kills” workers. In the process, AI provided a new path for the development of the construction industry, and this road seems to be moving more and more smoothly.
Recently, Greenland Holdings announced that it had reached a cooperation with artificial intelligence technology company Shenlan Technology to jointly develop artificial intelligence architecture and robotic intelligence technology. All this is also moving in the direction of the AI construction industry.
Ageing in the construction industry
Talking about the construction industry, the issue of the lack of young workers in the construction industry is also involved. For a long time, the construction industry has the “risk, complexity, dirty, heavy” attribute, the construction workers' working conditions are extremely poor, the heavy operation, the working environment is filled with mud, dust, noise, vibration, resulting in high incidence of occupational diseases. More importantly, with the acceleration of aging society, the supply of young and old labor will become increasingly scarce.
As far as Japan is concerned, more than one-quarter of the Japanese population is currently over the age of 65, and this figure is expected to jump to 40% in the next 40 years.
This huge old population structure has brought enormous challenges to the government and the economy. This is particularly evident in the construction industry. As the working-age population will be drastically reduced, it will lead to an increase in the cost of labor in the construction industry. The demand for construction workers to reduce labor costs and improve construction efficiency and quality will become increasingly strong. Digital construction technology will have broad application prospects.
The ageing of construction labor employment indicates that the young labor force at the construction site is decreasing year by year, the middle and old aged labor force is increasing year by year, its physical strength and energy are gradually declining, and the accuracy of the operation is deteriorating, resulting in the inability of project quality; and, with age, With the change, the aging of the functions of the middle-aged and older laborers, especially the reduced sensitivity of the reaction, has become an important factor in the occurrence of multiple personal safety accidents.
Obviously, the ageing phenomenon of construction workers has become the top of Aker’s in the development of the construction industry. How to break through the barriers to the construction industry itself, AI helped put forward the "optimal solution" to this type of problem.
"God's perspective" creates no artificial ground
In the past decade, drones have ushered in the golden age of their own development. They have separated themselves from multi-million dollar UAVs and succeeded in becoming civilian entertainment tools to bring people to experience “God From the perspective of "creative surprises," they are now even more of the leaders in productivity innovation in many industries.
The application of drones in the field of construction has opened up a new window for its development. In the dirt pool below the ground, huge “diggers” are working semi-autonomously to level land and dig trenches. In the past three years, California’s Skycatch Corporation has provided quadcopters for more than 5,000 construction sites in Japan. Most of these sites are located in the Tokyo area and surrounding areas, and are operated by Komatsu, the world's second-largest construction company, as part of its intelligent building project.
Skycatch is now adding artificial intelligence to the mix, further automating the process and virtually detaching humans. Soon, it will give control of the construction site to the intelligent automatic machine. Prior to Skykatch’s appearance, Komatsu created maps by relying on human surveyors. This process usually takes a small team for a few days to complete. When using drones, it takes only 15 minutes to scan and create accurate terrain 3D maps.
In addition to the construction control field, UAVs can also use UAVs to fly on construction sites and collect video material. The video will be converted into a three-dimensional image of the construction site, and then imported into the corresponding computer software for matching. The progress schedule of the project and the original architectural design can be checked.
In the field of drone mapping, only 30,000 points can be obtained by manual surveying; however, if surveying drones are used, the number of measured points can reach 25 million. In comparison with time, if the terrain is measured gently, the drone's mapping work and later data processing will take less than 3 times of the time compared to the traditional manual mapping.
AI saves the construction industry
With the deepening of automation, artificial intelligence and automation equipment will gradually take over the construction site and bring a new era of a highly autonomous construction industry. Analyst Ke Ming of smart relativity (aixdlun) believes that because of the powerful analysis, sorting, and application capabilities of AI itself, it is also bound to “do much better” in the construction industry. In the absence of a labor force in the construction industry, AI simplifies or even replaces parts. The labor force can work hard from the following aspects.
- AI helps build BIM model
The Building Information Modeling (BIM) is a 3D model-based process that provides structure, engineering, and construction (AEC) professionals with effective planning, design, construction, and management of buildings and infrastructure. Autodesk Revit is a BIM software (or 4D BIM) that allows users to design buildings and internal components in 3D and associate related messages with time or schedule to associate with the various components in the 3D model. Better data and assisting owners, architects and contractors to communicate effectively.
Take the Wuhan Central Project as an example, the Wuhan Center's use of BIM's exterior design is mainly reflected in the parametric shape-finding and curtain wall design based on BIM technology. In the BIM software, the final solution model is sliced according to the floor height, and the building outline of each floor is generated, and the parameterized curtain wall is divided in the generated building outline conversion. Through the setting and adjustment of parameters, the size of the curtain wall is changed, and the unit body is integrated into the architectural skin. Finally, the superposition of the super space surface with the space-shaped unit plate is determined. The spatial error is gradual, non-linear and staggered. Taiwan changes.
- Robots replace part of the construction work
On February 6, 2018, PwC announced that the AI robots will steal our work. "The potential impact of automation on the work," a research report analyzing the work tasks and technologies of more than 200,000 laborers worldwide, the impact of automation on labor in various industries will reach 30% in the mid 2030s. The top three industries most likely to be replaced by automation are transportation and warehousing (52%), manufacturing (45%) and construction (38%).
As a systematically set system hardware, the robot has advantages such as high strength, high efficiency, and low error rate that human beings cannot match. It is undoubtedly an important field for the development of artificial intelligence. A few days ago, the Japanese construction company Clearwater Construction disclosed an experimental facility where a number of construction robots, including “ceiling mounters”, “welders” and “porters”, will be “put on the job”.
The Australian technology company Fastbrick Robotics designed the 3D construction robot Hadrian X, which is 4 times more efficient than manual labor. With 24 hours of continuous work, Hadrian X can build a house within two days. It can read drawings and accurately calculate the position of each brick using 3D scanning technology, which is much more accurate than construction workers.
3.AI multi-element mark construction site
The application of AI in on-site construction shows that it can use machine learning, voice and image recognition to automatically mark photos and videos of construction sites to organize data and search. For example, AI can use deep learning mode to analyze images and voices to automatically mark construction data data and proactively provide customer safety recommendations.
Taking Smartvid.io as an example, as a construction site management platform, it can realize artificial intelligence recognition, that is, it can identify 1080 construction photos in 10 minutes, and correctly identify 446 photos with portraits, no helmet, no Safety reflective clothing can be identified for some time. As the amount of tasks that can be completed manually for 4.5 hours, it can greatly shorten the working time, and also provide a real-time monitoring platform for construction safety, identify potential risks and ensure construction safety.
In short, AI's substitution for the construction industry is a process. What we emphasize is not that AI completely invades and replaces traditional construction workers. This is just a complement of the advantages of some processes and processes. Of course, this will also be a gradual replacement process - AI helps design, construction and operation and maintenance. This is also in line with the building's life cycle: design, construction, and management.
A construction project is huge and complicated. The application of AI technology can improve the construction status in many aspects. Although the construction of the AI is relatively late for the use of AI, the impact it will bring can not be underestimated.