Automatiseret sensorvedligeholdelse driver innovation og effektivitet hos Tereos, en førende fransk landbrugskooperativ kendt for sin ekspertise i forarbejdning af sukkerroer, sukkerrør, korn og lucerne.
Med en forpligtelse til bæredygtighed og høj kvalitet forarbejder Tereos årligt cirka 300.000 tons majs og 77.000 tons hvede og producerer næsten 520.000 tons glukosesirupper, tørre stivelser, maltodextriner og polyoler, der tjener forskellige fødevare-, dyrefoder- og industrimarkeder.
One critical aspect of their production process is sustaining accurate and reliable pH measurements, which are essential for product quality and process efficiency.
Recently, a process engineer started working on pH measurements at the facility. He realized that the in-line measurement on some applications was experiencing drift, and that the cause was fouling of the probes.
This fouling was impossible to remove with water rinsing alone, leading to:
METTLER TOLEDO har et langt partnerskab inden for pH-måling på stedet med stor tilfredshed med kvaliteten af vores produkter og ekspertise hos vores medarbejdere. Tereos henvendte sig til os for en løsning.
To address the challenges, Tereos implemented the METTLER TOLEDO EasyClean 500 automated sensor cleaning and calibration system.
The results have been substantial:
Additionally, use of the EasyClean 500 system has decreased the total volume of rinse water used, aligning with Tereos’ commitment to sustainability.
Satisfied with the outcomes, Tereos plans to extend the EasyClean 500 solution to a total of six pH measurement systems across the plant.
Tereos are very happy with the results. Cleaning is very effective, and the probe is always calibrated, which greatly improved measurement quality, plus they’ve drastically reduced their maintenance operations.
Martin Lengert, Field Sales Representative METTLER TOLEDO Process Analytics
EasyClean 500/500X er til industrier og applikationer, hvor sensorer spiller en vital rolle, og vedligeholdelseskravene er høje.
.jpg/_jcr_content/renditions/cq5dam.web.1280.1280.jpeg "Case study on automated sensor maintenance system to solve pH measurement issues")
