Thanks for that info Rob. That means it's possible--although not necessarily likely--that newer machine vision interface standards might go into the emerging economy geographies. But not necessarily the more complex ones, like GigE, which require more expertise. It's not a clear picture, anyway, from the MV standpoint.
That makes sense, Ann. Most of the new plants are going up in low-cost labor geographies. Japan has a very mature manufacturing base as well as high-cost labor (compared with emerging Asia).
Rob, I don't know the geographic distribution of where new machine vision installations are going in vs older installed base. What I do know, though, is that there are still a lot of older analog camera systems in Asia, especially Japan, so that's not considered an area where GigE is likely to take hold, at least for awhile.
That makes sense to me, Ann. Given that, the advanced technology is going into plants in Asia, Eastern Europe and South America. That's where the majority of greenfield plants are.
Rob, that division sounds a lot like what I've heard about using Ethernet for machine vision networks: it's being deployed in new systems, and not so much in existing ones, because of the difficulty of re-engineering and re-configuring hardware and software, as well as training.
Good question, Chuck. I would think the difference between the 60 percent and the 40 percent of Rockwell implementations can be tracked along greenfield versus brownfield plants. Ethernet is likely going into most new plants as well as some upgrades at existing plants. But I'll bet a lot of the existing plants are not going to Ethernet with their upgrades.
Alex, thanks for the link to your article. What a fascinating trend! It makes me think of the production version of what IT has been working on for awhile, the "agile enterprise," or whatever they are calling it now, for BPM.
Yes, the plant floor is definitely following in the footsteps of mainstream enterprise business systems. The question is, how much will this trend accelerate when plants who aren't yet using Ethernet finally migrate to Ethernet-based automation systems? Rockwell Automation claims that only about 60% of the equipment they sell is Ethernet-based. What happens when the other 40% finally make that move?
Alongside this article, I'd like to recomment that readers check out my story, Top 5 Roadblocks to the Digital Factory of the Future. This is an important trend, the ability to rapidly adapt (repurpose) production lines, using graphical programming tools and networks PLCs to which software can be downloaded via network links. This is a big part of the ability to go rapidly from prototyping to production.
Rob, thanks for the overview. Looks like some pretty exciting trends and new developments to watch for. I'm especially interested in increasing simulation: it's good to see this powerful technology put to very practical uses in factories. I also liked the diagrams in the Connected Automation System and Cloud Computing in Automation slides. If a picture can say 1,000 words, a diagram can say 5,000.
For 3D printing to make the jump from rapid prototyping to manufacturing, engineers will need to find easier ways to move products from their CAD screens to their printers.
Gigabit and PoE are two networking technologies moving ahead in tandem as industrial users power remote Ethernet devices such as IP security cameras at 1,000 Mbps over existing CAT5 cable.
New versions of BASF's Ecovio line are both compostable and designed for either injection molding or thermoforming. These combinations are becoming more common for the single-use bioplastics used in food service and food packaging applications, but are still not widely available.
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For industrial control applications, or even a simple assembly line, that machine can go almost 24/7 without a break. But what happens when the task is a little more complex? That’s where the “smart” machine would come in. The smart machine is one that has some simple (or complex in some cases) processing capability to be able to adapt to changing conditions. Such machines are suited for a host of applications, including automotive, aerospace, defense, medical, computers and electronics, telecommunications, consumer goods, and so on. This radio show will show what’s possible with smart machines, and what tradeoffs need to be made to implement such a solution.
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