Ann, you have hit the nail on the head by mentioning protocols like EtherCAT. There are applications where standard Ethernet/IP can be used, but to replace the more specific bus standards like Fieldbus, you need a deterministic protocol. These have now been developed. In the IP realm, the increase in speed to gigabit and beyond helps mitigate some of the determinism issues.
I see a parallel here, sort of, between control and machine vision. In control there's been a gulf separating the functionality and usability of Ethernet/IP versus the control-specific protocols like EtherCAT and Ethernet Powerlink. In machine vision, there's been a parallel guilf, perhaps not so large, between various open-sourced protocols like USB or GigE and their vision-specific versions like the very new USB3 Vision, and the not so new GigE Vision. And the gulfs all about that pesky determinism issue.
Truchard will be presented the award at the 2014 Golden Mousetrap Awards ceremony during the co-located events Pacific Design & Manufacturing, MD&M West, WestPack, PLASTEC West, Electronics West, ATX West, and AeroCon.
In a bid to boost the viability of lithium-based electric car batteries, a team at Lawrence Berkeley National Laboratory has developed a chemistry that could possibly double an EV’s driving range while cutting its battery cost in half.
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.