Test and measurement software such as Labview is a great solution - it eliminates the need to do low level programming and once you become conversant in it - you can achieve a lot in a small amount of time. Back in the day I did a lot of IEEE (GPIB) programming as a Certified Testpoint Application Specialist - I was a test engineer for a semiconductor company. Being able to write programs that allowed remote data monitoring was huge back then and invaluable today.
This is a trend where we should see very strong growth. The ability to create virtual interfaces for monitoring almost any aspect of machine performance is getting easier with new tools. Thanks for the article. Excellent.
The opening paragraph reminds me of what Tesla said about Edison;
If Edison had a needle to find in a haystack, he would proceed at once with the diligence of the bee to examine straw after straw until he found the object of his search... I was a sorry witness of such doings, knowing that a little theory and calculation would have saved him ninety per cent of his labor.
I agree. Today's lean product development environment must be as efficient as possible in order to quickly get quality products to market on time and on cost. Basic theoy is the foundational starting point of good design.
On the filp side, unintended failure modes in these user interfaces could be present, so thorough user validation testing should be performed before release.
Robots that walk have come a long way from simple barebones walking machines or pairs of legs without an upper body and head. Much of the research these days focuses on making more humanoid robots. But they are not all created equal.
The IEEE Computer Society has named the top 10 trends for 2014. You can expect the convergence of cloud computing and mobile devices, advances in health care data and devices, as well as privacy issues in social media to make the headlines. And 3D printing came out of nowhere to make a big splash.
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.