Boston Dynamics Spot im Einsatz bei POSCO: Roboterwartung in der Stahlindustrie

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POSCO, einer der weltweit führenden Stahlhersteller, setzt in seinem gigantischen Stahlwerk Gwangyang auf modernste Robotertechnologie: Der autonome Roboter Spot von Boston Dynamics unterstützt die vorbeugende Wartung der größten Hochöfen der Welt. Mit rund 23 Millionen Tonnen jährlich ist das Werk das größte integrierte Stahlwerk weltweit.

Dank Spot und der Software Orbit wird der Zustand der Anlagen kontinuierlich überwacht – ganz ohne Gefährdung von Mitarbeitern. So sorgt POSCO für höchste Sicherheitsstandards und Produktionsqualität. Bereits seit über 10 Jahren investiert POSCO in IoT-Technologien, um Prozesse effizienter und nachhaltiger zu gestalten.

Erlebe in diesem Video, wie modernste Robotik die Stahlindustrie revolutioniert und welche Rolle Spot dabei spielt.

#BostonDynamics, #POSCO, #Industrie40, #Roboter, #Stahlindustrie, #IoT, #Gwangyang #tuningblog - das Magazin für Auto-Tuning und Mobilität!

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00:00It's called a steel mill, or iron and steel works.

00:07These things make ensuring the safety of employees the top priority.

00:11In the case of spot welding, it is proving to be a great help in minimizing worker exposure

00:15to hazards and eliminating safety risks above all else.

00:19Since 2016, POSCO Group has been implementing a smart factory, applying automated AI models

00:24centered on manufacturing processes, and in 2019, it was selected as a lighthouse factory

00:28by the World Economic Forum, the first steelmaker to receive this designation.

00:32We have been recognized as a manufacturing company that leads the way in utilizing the

00:36benefits of the Industrial Revolution.

00:40Therefore, in the surrounding area, workers are inevitably exposed to risks from high

00:45temperature gases and dust.

00:49The increasing need for unmanned inspection of our boiler facilities in 2020 drew our attention

00:55to Boston and MKS's offerings in this area.

00:58It happened that way, and we were able to verify its usability.

01:02The high temperatures of 1,200 degrees Celsius generated in the blast furnace are then blown

01:07into the converter.

01:08In the meantime, intuition is called a windpipe.

01:10I'm a nerd, there were difficulties in making the measurement.

01:26By replacing spas in difficult and dangerous areas, we have been able to work in a much better environment.

01:32At first, we were very worried about using spot-on site.

01:38Our steelworks aren't exactly a robot-friendly environment.

01:42Even in environments where conventional robots have difficulty accessing areas such as stairs,

01:47narrow spaces, or uneven floors, it autonomously moves and uses various sensors to precisely

01:52inspect equipment.

01:53It is possible, we introduced it because we anticipated such things.

01:59On site, we record autonomous driving routes to enable the use of the spot.

02:04We are also designing automated equipment inspection tasks and similar things, and building a wireless

02:10network that allows robots to be controlled remotely.

02:14A docking station room where you can charge and safely store.

02:17We also call it a doghouse, and it seems we'll have to make these ourselves as well.

02:22We successfully deployed spot-on site and established a data-driven inspection and

02:27preventive maintenance system.

02:29Furthermore, we were able to improve equipment reliability and operational safety.

02:35Spot uses a thermal camera while driving to detect overheating areas,

02:39coolant leaks, cracks, etc., on the snowplow.

02:44You also need to check for any external damage or foreign matter, and because we can provide

02:49yin and yang, we can detect abnormal noise or vibration on site.

02:55POSCO currently operates two spot welders on site.

02:59The inspection mission consists of three to four missions per site, each mission involving

03:04approximately 40 actions.

03:07It's scheduled to run automatically at a certain time every day.

03:10We used to check this about once a day, but now we use spot to measure it once in the morning

03:17and once in the afternoon.

03:19We expect that in the future, measurements could be taken up to four times a day.

03:24Then we can manage the equipment in more detail.

03:26From the perspective of stream management, it achieved a dual purpose.

03:30Once we obtain the data, we will use ORBIT to remotely schedule spot missions, monitor the

03:37robot's location and inspection results in real time, and collect data from each mission.

03:43Degraded images and videos, and various other data like this, can be intuitively checked on

03:49the dashboard in ORBIT.

03:51The stored history data can also be systematically checked by us.

03:55We believe this will be extremely helpful in making future data-driven decisions.

04:03Currently, we are concentrating on inspecting the core equipment, which we call the furnace's

04:08bellows, but we are also using autonomous robots for other hazardous areas and equipment

04:13requiring regular inspection.

04:15We intend to actively expand the range of applications.

04:20In the rapidly changing industrial landscape, we are proactively preparing for future competitive

04:25through AI robotics technology.

04:27We aim to establish an autonomous manufacturing environment where robots and equipment can

04:30perceive situations, make independent judgments, and control themselves by securing manufacturing

04:35physical AI.

04:36This will enable us to realize intelligent factory manufacturing innovation, where humans and

04:41machines collaborate.

04:41For more videos, just subscribe.

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