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Process Analytics

Experience the Difference with Analytical Sensor Technology

Make your quality measurable with efficient process control. Analytical sensors help differentiating products through qualitative characteristics such as turbidity, conductivity or concentration…

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Food, Beverage and Dairy
ITM-51, ITM-51R Relative turbidity meter - Process Analytics - Img  - anderson-negele

ITM-51, ITM-51R Relative turbidity meter

Modular, front-flush turbidity sensor for low to high turbidities, with IO-Link

Food, Beverage and Dairy
ILM-4, ILM-4R Inductive Conductivity meter - Process Analytics - Img  - anderson-negele

ILM-4, ILM-4R Inductive Conductivity meter

Modular inductive conductivity measurement of liquid media up to 999 mS/cm, with IO-Link

Food, Beverage and Dairy
ITM-4 Four-beam turbidity meter - Process Analytics - Img  - anderson-negele

ITM-4 Four-beam turbidity meter

Turbidity measurement for very low turbidities in pipes from DN25

Food, Beverage and Dairy
ITM-4DW Four-beam turbidity meter - Process Analytics - Img  - anderson-negele

ITM-4DW Four-beam turbidity meter

Turbidity measurement for very low turbidities in process and drinking water applications, in pipes from DN25

Efficient Process Analytics: Make your quality measurable with analytical sensors

Many processes are based on differentiating products through qualitative characteristics such as turbidity, conductivity, or concentration. Deviations in these criteria are critical for the quality of the product, and for the efficiency of the process. However, these deviations are not easily detectable.

Manual sampling is one method used for control, but this means high personnel costs and uncertainties in the quality between samples.

Time control is another option; however, a safety buffer must be considered. Each phase transition results in product loss and high costs for wastewater treatment, as many liters of valuable product or cleaning agent get into the wastewater during this buffer time.

Process Analytics with sensor technology

They see what you can’t: Making quality visible with analytical sensors

We invite you to “EXPERIENCE THE DIFFERENCE” with Anderson-Negele. Our analytical sensors provide a solution to exactly this issue. As your “eye in the pipe” they continuously measure the media in the running process according to qualitative criteria, thereby making the invisible visible and quality measurable.

Versatile Application Possibilities for more efficiency and quality

Field cases show that Anderson-Negele analytical sensors often have an ROI period of only a few weeks due to the cost reduction thanks to less product loss and wastewater, and thanks to an improved compliance with quality criteria. Here are just a few examples:

  • CIP Control: By phase separation with an accuracy to the second in CIP control with the ILM-4 conductivity meter, water consumption can be reduced extremely significantly. In a practical case at a manufacturer of ice cream, the saving was 175,000 liters per year.
Process analytics in CIP control
  • UHT Phase Changeover: Detecting loss of valuable organic milk in the UHT plant processes, a dairy installed ITM-51 turbidity sensors to replace the previous timer-based control. The result: 118 fewer liters of product are lost with each phase transition (proven by measurement).
Process analytics in UHT Phase transition
  • Separator Control: In a brewery, the ITM-51 turbidity sensor continuously monitors the output of the separator. The desired turbidity level was entered by means of an individual learning curve at the installed sensor. When the predefined setpoint values are reached, the yeast harvest is carried out in an automatic, accurate, and reproducible way.
Process Analytics in Separator control
  • Filtrate Monitoring: In wine production, the integrity of the filter membrane used to be monitored through a sight glass. This was very time consuming and inaccurate. Thanks to its high measuring accuracy even at the lowest turbidity levels, the ITM-4 turbidity meter is ideal for quality assurance to avoid secondary fermentation and quality degradation due to filter damage.
Process analytics in filtrate monitoring
  • Bottling / Filling Control: With a response time of just under one second, the ILM-4 conductivity sensor can detect a phase switch with high accuracy and precisely control the corresponding valve via an active switching output. In a brewery, in filling systems for bottles, cans, and kegs, one conductivity meter each ensures that the beer ends up in the bottle and rinse water in the sewer.
Process analytics in Filler control

Get more info in our PDF brochure

Discover the multitude of applications where our analytical sensor can help you in our brochure: “Analytical Sensors: Efficient Process control”

Process Analytics with digital data transmission

IO-Link offers significant advantages when it comes to reliably controlling the entire system technology in processes, with a multitude of measuring points, control, and operating elements. After extensive tests of the practical usability, we transfer this technology as digital data transfer standard of the future into our modular platform. Here we offer specific advantages with our Flex-Hybrid Technology with digital IO-Link AND analogue 4…20mA interface. Most of our Anaytical sensors are already equipped with IO-Link in Flex-Hybrid Technology, as are many other sensors for process and quality controll too.