By combining the best of programmable controllers with distributed control systems, the ProcessLogix(TM) system from Rockwell Automation's Allen-Bradley division is said to deliver the next generation control architecture for integrated sequential, motion, process, and drive-system applications. The system is a server-based, distributed control system. Based on the company's ControlLogix architecture, ProcessLogix blends software, hardware, and a global database into a single entity. Process-Logix system uses ControlNet to communicate between the core components. The physical cabling is based on the commonly available RG-6/U Quad-Shield cable and ControlNet taps, providing easy installation and immunity from EMI/RFI. Developers can use hundreds of standard displays such as alarms, trends, history, and reporting for fast set-up. The system also includes an object-oriented custom display builder with a library of commonly used plant equipment. Rockwell Automation, Allen-Bradley, Product Code 4299.
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.