Roboterhund "Spot" von Boston Dynamics beim Cargill-Sicherheits-Check

tuningblog

😇 Dein Abo hilft uns: https://tublo.eu/abonnieren
✅ Source: Boston Dynamics
➡️ Mehr Infos: www.tuningblog.eu

Im Rahmen seines "Plant of the Future"-Programms setzt Cargill in seiner Amsterdam Multiseed-Fabrik erstmals auf den mobilen Roboter Spot von Boston Dynamics. Spot übernimmt tägliche Inspektionen, misst Temperaturen, erkennt Lecks und identifiziert Sicherheitsrisiken – völlig autonom.

Dank modernster Sensoren wie Thermalkamera, Akustikdetektor und hochauflösender PTZ-Kamera kann Spot Daten sammeln, die zuvor nur mühsam per Hand erfasst wurden. Die Informationen fließen direkt in die Orbit-Plattform von Boston Dynamics und ermöglichen eine schnelle Reaktion auf potenzielle Störungen. Besonders in der rund um die Uhr laufenden Produktion ist das ein entscheidender Vorteil zur Reduktion von Ausfallzeiten.

Cargill zeigt damit eindrucksvoll, wie traditionelle Industrie durch Digitalisierung und KI zukunftsfähig wird. Spot ist nicht nur eine technische Innovation – er macht die Arbeit für Mitarbeiter sicherer, effizienter und attraktiver.

Die Pilotphase in Amsterdam zeigt erste Erfolge: Entdeckte Lecks, frühzeitig erkannte Überhitzungen und KI-gestützte Sicherheitsinspektionen revolutionieren den Alltag in der Anlage. Der Roboter, liebevoll "Rocky" genannt, ist schnell zum Liebling der Belegschaft geworden.

📌 Erfahre in diesem Video, wie Spot als "Augen, Ohren und bald auch Nase" der Fabrik eine neue Ära einleitet – und warum Cargill nicht nur in Maschinen, sondern vor allem in Menschen investiert.

#Robotik, #Industrie40, #Cargill, #BostonDynamics, #Spot, #FabrikderZukunft, #SmartFactory #tuningblog - das Magazin für Auto-Tuning und Mobilität!

Kategorie

🚗

Motor

Transkript

Vollständiges Videotranskript anzeigen

00:00Our vision is to have autonomous plant operations where the operators go from reactive work

00:11to more proactive work and by using new technologies such as SPOT we want to free up time for the

00:17operators and to have more stable process operations.

00:20We are here in Amsterdam at Cargo Multiod.

00:28My name is Martin Blomstein, I'm the plan manager of this location.

00:33We're going to have a look inside at SPOT the robot dock.

00:38The objective of the smart manufacturing team is to realize the leadership vision for the

00:42plan of the future.

00:46So we have many projects going on across our facilities in Europe and other regions to

00:50enable our company to achieve that vision.

01:02Our vision for the plan of the future involves moving toward autonomous plans self-driving

01:06plan where the people working can focus on constant improvement and increasing efficiency

01:11SPOT builds a few of those gaps we are old factory we are 45 years even plus 45 years old now

01:17if you would build a new plant you would have sensors everywhere on every machine but yeah

01:22we don't have that so that's why SPOT can really contribute their ins camera for monitoring assets.

01:34We have a lot of rotating assets in the plants, a lot of mechanical assets, austically, we check

01:40for air and steam leaks.

01:42And these are assets that we didn't have data and insights into before.

01:49In the past, our maintenance team did the inspection just by walking through the factory

01:53and you don't get any data from that.

01:57So now we can with SPOT we have the data and we can compare them with last weeks, last years

02:02or yesterday's data.

02:05SPOT can do this every hour always the same distance, always the same quality data collection

02:10and that's key for us.

02:12Orbit is the robotic field management system and the data platform for a robotic system.

02:18So what we currently use it for is to manage our SPOT to schedule missions and to view the

02:22data and share the insights we get from there.

02:27When you start your shift you check in you look at the data what SPOT has collected and

02:31then you could trust it that it's the same way as it was collected yesterday a week ago

02:35a month ago.

02:39SPOT gives me more data and more insight into our assets with which we make oil from seeds.

02:45We have presses, decents, pellet meals, all sorts of big equipment.

02:50If those fail, you have like a big problem because it's very hard work to get them working

02:54again because they lose a lot of product and also a lot of money of time.

03:00Key to us is to have stable and predictable operations and no surprise breakdowns.

03:07And I've already seen a couple of examples where SPOT detected certain out of order situations

03:12which really prevented us from having unexpected shutdown.

03:20SPOT has found us some overheating bearings lately which was a key finding because this

03:24asset is actually connected to multiple assets which could have caused us some unplanned downtime

03:29and also could have impacted multiple assets connected in this chain.

03:35A few weeks ago we found an issue with a ventilation system and because of SPOT being consistent

03:42in the measurements we found out we need to use another type of grease.

03:49We would never find the issue without SPOT.

03:52One of the things we've been testing out recently is AI visual INSPS.

03:58So we use the robot to walk around the plant, check things out and then assess via the AI

04:03natural language questions what it finds.

04:06So, you locate what you're trying to capture, you take a picture, and then, at the end, you

04:13basically ask a question and, this question could be a numerical one, a yes or no, or even

04:18an open-ended one.

04:21Cargo safety comes first, and that also includes people safety, also food safety.

04:27We want to avoid slipping hazards, tripping hazards, and any unsafe conditions in the plant.

04:33Some of the prompts we are using with SPOT today are around that.

04:36We are checking if doors are left open.

04:39That is a control around pests and housekeeping.

04:41We are checking our 5S boards, our safety signs, and our fire extinguishers, whether they

04:46are in place or not.

04:48Side view is a 36 plant view.

04:52What we currently use it for is to support our food and safety quality team by basically

04:57having another set of in the plant.

05:01SPOT walks this route multiple times a day, and then you can identify leaks of seeds and

05:06oil early and.

05:10You can also historically look back since the very beginning, when we got involved with Boston

05:15Dynamics and SPOT.

05:19We saw the robot as a vehicle to ease the day-to-day activities, manual activities of the operators.

05:27Invest in our people, buy kind of new technologies, and collaborate with Boston Dynamics.

05:34So it helps to show that we also invest to be there in the next 45 years.

05:40It's not about replacing operators the workforce.

05:43We want to give them the best tools to do the job right.

05:46Many people are retiring the coming year, so attracting new talent is really key for us.

05:52And we've seen that having SPOT running around it's a very attractive element for some new

05:57process operators.

06:02Actually the reason I work for Cargill is because of SPOT because I wanted to use the new innovations

06:07that are available at the market right now and a vision of how that will work and will

06:11help our industry especially our reliability of our planned sleep that I know that SPOT is

06:16working the night shift.

06:20So in Carroll we see SPOT as being the ears and eyes of our operators and maybe in the future

06:25even the nose.

06:29When we think of value it's easy to try and put a dollar figure on what we found we avoided

06:34a down time and that can be associated with some money saved.

06:38But in addition to that we see SPOT as an investment in Car's future.

06:43That kind of technology that we want to bring to our place to ask our people to do their job.

06:55For more videos just subscribe.

07:13Thank you.

07:14Thank you.

07:15Thank you.

07:16Thank you.

07:17Thank you.

07:18Thank you.

07:19Thank you.

07:20Thank you.

07:21Thank you.

07:22Thank you.

07:23Thank you.

07:24Thank you.

07:25Thank you.

07:26Thank you.

07:27Thank you.

07:28Thank you.

07:29Thank you.

07:30Thank you.

07:31Thank you.

07:32Thank you.

07:33Thank you.

07:34Thank you.

07:35Thank you.

07:36Thank you.

07:37Thank you.

07:38Thank you.

07:39Thank you.

07:40Thank you.

Schreibe den ersten Kommentar

Kommentar hinzufügen

Empfohlen