Sensors That Learn
Learning Process Conditions within One Day
Mettler Toledo introduces Sensors That Learn - learning sensors for process analytics. Advanced algorithms allow sensors to learn process conditions within one day.
A significant issue in the operation of in-line process analytical measurement systems is not knowing when pH sensors will require maintenance or if a sensor is going to fail unexpectedly. Mettler Toledo is trying to solve this problem with its Intelligent Sensor Management (ISM) technology and Sensors That Learn. ISM is a digital platform for analytical sensors that increases process reliability, simplifies senor handling, and reduces maintenance. At its core, ISM features a series of advanced algorithms that continuously monitor a sensor's "health" and provide diagnostic tools that predict when maintenance will be required and when a sensor will reach the end of its reliable lifetime.
New ISM algorithms launched in 2015 allow pH sensors to actually learn from the conditions in a process. Sensors That Learn delivers more accurate sensor health diagnostics, quicker than previous versions, and enhances the consistency of sensor lifetime information.
iSense software is a support and maintenance tool for ISM sensors. When an ISM sensor is connected to a PC running the software, all relevant data is displayed on the software's iMonitor screen using simple color coding, allowing at-a-glance evaluation of the probe. Should the diagnostics recommend that the sensor needs servicing (e.g. calibration), iSense guides operators step-by-step using simple animations to a successful end result. A newly released version of iSense offers features such as transferring learned data on applications between sensors to provide the highest assurance of sensor performance from first installation.
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