Al, that is the essence of Big Data. The ability to pull together massive amounts of data to formats that can be processed to find some useful attributes is made much easier when there are standards and platforms that work well together.
Naperlou, I think that these kinds of applications will continue to emerge. As you mentioned, with Ethernet and TCP/IP becoming a unifying force for devices on the network, there is an opportunity to develop all kinds of application programs that pull this information into useful formats for monitoring, management and control. Thanks.
Chuck, I am suprised as well. What I am finding is that many companies involved in industrial control like Windows becuase it is well known and there is little training involved with using it. I have found this in both large and small manufacturers. This is also behind the move to using a powerful centralized processor rather than distributed processors. The centralized processor system typically uses x86 architecture chips and Windows. The main driver there is familiararity of programming.
Interesting to read that that this framework resides on a Microsoft Windows platform. Thirteen years ago, I wrote a story for EE Times in which I mentioned the Windows platform potentially being used in industrial control. After the article appeared, I received a very angry e-mail from an engineer who worked for a major auto company. He told me that I was wrong to write about this as a possible trend, and added that he personally "will never go over to the dark side." How times change.
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 discussion will examine what’s possible with smart machines, and what tradeoffs need to be made to implement such a solution.