Labor shortage, Japanese builders want to use robots to participate in the building.

category:Internet
 Labor shortage, Japanese builders want to use robots to participate in the building.


Illustration: a building robot for clear water buildings in Japan NetEase news on April 25th news, according to foreign media reports, according to the experience, it is currently about five hundred thousand net working days to complete a building of a 30 storey high office building. As the construction industry has little impact on the development of automation technology, this figure has not changed much in the past few years. But for Japanese construction companies, this has to be changed. For a long time, Japans construction industry has been plagued by a labor shortage, and it is expected that at least one million people will leave or withdraw from the construction industry in the next ten years, and the industry will become worse. ShimizuCorp., a Japanese general contractor, established more than 200 years ago, is introducing robots that can weld crossbeams, transport building materials and install ceilings to alleviate this contradiction. At present, industrial robots can be seen everywhere in the manufacturing industry. Over 2 million industrial robots are running on the production line worldwide. According to the statistics of the international robotics Association, the proportion of workers and robots in the workshop is 5:1. However, due to the unpredictable environment and human existence in the construction industry, the use of robots in construction sites is facing more severe challenges. Building automation has been limited to peripherals, such as the use of UAVs to track building materials and so on. The biggest difference is that industrial robots do not have to move their positions. We want to install the robotic arm on the mobile platform, said MasahiroIndo, general manager of the clean water architecture technology department. It is impossible for a majority of the robot manufacturers to say that. The Robo-Carrier automatic forklift truck of Qingshui building is equipped with laser rangefinder to detect driving environment, which is different from the technology adopted by autopilot. During a demonstration Monday at the clear water architecture research center in eastern Tokyo, the robot could move safely in a room full of journalists and television cameras. But Indo said that the lack of clear rules would limit the application of the robot in the actual construction site, which can only be used in less time periods such as night time and weekends. A ceiling mounted machine called Robo-Buddy can lift 30 kilograms at a time, which helps to alleviate the most laboring work in some construction projects. The Qingshui plan introduced these robots to a construction site in Osaka around October. Indo says that although robots will save thousands of hours of human cost for the tasks they perform, it is negligible compared to the entire project, accounting for only 1% of the total number of ordinary high buildings. He said that machines that can work on the floor and walls may appear, but raising this number to 10% remains a formidable challenge, because the most time-consuming parts of the construction occur inside the building. According to PhamQuangCuong, an assistant professor of mechanics and Aeronautics and Astronautics at the Nanyang Technology University in Singapore, the recent development of deep learning has further improved the ability of the machine to detect the environment and paved the way for the application of navigation in autopilot. There will be more automation technologies in the coming years, but most of them will happen outside the construction site, he said. We are still in the initial stage. (Han Bing) source: NetEase science and technology report editor: Wang Fengzhi _NT2541 Indo says that although robots will save thousands of hours of human cost for the tasks they perform, it is negligible compared to the entire project, accounting for only 1% of the total number of ordinary high buildings. He said that machines that can work on the floor and walls may appear, but raising this number to 10% remains a formidable challenge, because the most time-consuming parts of the construction occur inside the building. According to PhamQuangCuong, an assistant professor of mechanics and Aeronautics and Astronautics at the Nanyang Technology University in Singapore, the recent development of deep learning has further improved the ability of the machine to detect the environment and paved the way for the application of navigation in autopilot. There will be more automation technologies in the coming years, but most of them will happen outside the construction site, he said. We are still in the initial stage. (Han ice)