efector inc. introduces the new LR Series level
sensor for monitoring liquid level in tanks for applications that include parts
cleaning, coolant monitoring, water treatment and hydraulic power units. The modular system consists of a
compact, stainless-steel sensor housing with numeric display and pushbutton setup,
a cut-to-length stainless-steel measuring probe that easily attaches to the
sensor housing, and an M12 cordset for power and outputs.
LR level sensor can detect a variety of liquids that include water and water-based
media such as coolants, cleaning agents and paint. For oil and low-dielectric
fluid applications, ifm offers a coaxial tube that slips over the measuring
probe to provide reliable level sensing. With no moving parts, the
maintenance-free level sensor does not need routine cleanings and offers a long
ifm offers measuring probe lengths up to 63 inch for deep tank
applications. Parameters such as liquid type, setpoint and resetpoint are
established using the menu-driven display. The sensor does not have to be installed in the process to
set the parameters. Level readings can be displayed in inches or centimeters on
the sensor's four-digit display. Bright LEDs indicate
the switching or analog output.
The LR sensor's measuring principle is echo time-of-flight
using guided wave radar technology to detect liquid level. This technology enables a strong
signal strength and the ability to ignore build up.
The Micro dc units are available
with two or four switch points and a scalable analog output. Starting list
price for a complete system is less than $500.
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.