Learn more about the advances that are available now, and what the future will bring.
by Tim Vogel
September 10, 2019

One of the best TV commercials right now is the tax software ad that takes place in a courtroom. The prosecutor’s cleverly crafted closing argument is replaced with the words “Free. Free, free, free, free, free, free. Free.” The defender objects, “Free!” The judge quickly overrules with, “Free… [motions to the prosecutor] free.” With passion, the attorney continues with a rousing string of “free, free, free,” all to the finale of a standing ovation from the spectators and jury.

Can you guess what the company wanted to get across? The tax software—it’s free. That’s it. The marketing agency and company execs knew that the “free” message, a major differentiator and feature for the software’s basic tier, was the key message.

What better way to enhance that message than to double-down, nay, triple-down, to the nth degree?

It feels like the same thing is happening in our industry right now. There is a constant drum of words like: digitalize, intelligent, secure, convergence, open, M2M, scalable, AI and cloud. But in the middle of it all is one singular, convoluted word: smart. Smart this and smart that—but what does that really mean?

With “free,” we know that nothing is truly free. It costs someone something, whether it is the company’s resources or a user’s data.

So it is with smart. Does smart really mean, well, smart? And how smart? Like, fifth grader smart or Ph.D. smart?

To bring some clarity to it all, here are three ways systems and industrial pumps can be smart to varying degrees.

smart pumpsImage 1. It is important to be able to see the entire process, especially the major pieces of equipment being supplied by or leading to the smart pumps. (Images courtesy of Flowrox)

Smart Like a Fifth Grader
For something to be smart, we are assuming that the item’s basic functionality is being intelligently improved in one way or another. A pump’s basic functionality includes turning it on and off, and perhaps modulating its speed.

What I would deem next level (or what I am calling fifth grade status) is to use data directly related to the pump to change the way the pump operates. For instance, say you are running a peristaltic pump and metering the dosage flow of hydrochloric acid into a tank of water. This particular “smart pump” has a fluid contact sensor inside the cavity of the pump above the lubricant level. If the pump hose ruptures, the fluid level inside the cavity begins to increase, triggering the sensor. A signal is sent to the motor telling it to stop, an alarm is sent to the appropriate operators, and the pump is saved from unnecessary damage.

Without this alert, the pump would continue to run, sending lubricant into the line, increased amounts of hydrochloric acid would spill into the environment, the overall process would be starved of resources, energy would be wasted, unnecessary labor spent, damage done, and on and on. I think we would all agree that adding this functionality would be considered smart, both strategically and technically.

The aspect of this elementary scenario that keeps it from being smarter is the element of containment. This solution is certainly a step up from basic functionality, but it lacks in interoperability. Nothing else provides information to, or gets information from, this pump. In other words, the scope of the smart-ness is highly limited. Is it smart? Sure, but not very.

There are many solutions that stop here, whether pumps or otherwise. They are unit-focused on a microscale without taking the next step of working together with a macro perspective.

But apart from falling short, how does this “smart” solution fail? Your hydrochloric pump stopped. Great. But your tank is still being fed water, diluting the mixture, reducing the efficacy of the sprayer below, affecting the quality of the product down the line until the process is manually shut down for repair. Not so great. Usher in the next level of “smarts.”

smart pumpsImage 2. To have process data with poor visualization is sometimes like not having the data at all. If you cannot understand it, then it is not really helping. That is where a robust analytics platform can help.

Smart Like a High School Grad
Industrial automation has been a key component for process control for decades, and for good reason. A computer-controlled system is a great way to visualize the process, keep everything running smoothly and change parameters on the fly. In many ways, the advancements in automation have used the principles of “smarts” as a foundation for as long as they have been around.

Like the popular cloud-based IFTTT (If This Then That) service, you set up rules and they run automatically. You can try this at home with IFTTT by setting up your smart porch light to turn on automatically when your pizza app notifies you that delivery is imminent. (#ProTip—you are welcome.)

What does this have to do with smart pumps?

This rule-based approach has been the backbone of industrial automation. If the tank’s level is below 20 percent, then run the pump until the level is 100 percent. If a chemical pump stops, then stop feeding water into the tank, etc.

Relationships and programming can then be added throughout the system to create a string of processes. With the advent of computer-operated machines, robots, high-speed optics and faster computers, industrial automation is making it more possible to increase production speeds, optimize efficiency and reduce relative energy usage.

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