Oxygen Sensor helps minimize beer losses in filling plants.
August 4, 2009 -
Based on fluorescence quenching technology, InPro6970i features minimal need for maintenance and calibration. Optical sensor, when connected to transmitter, automatically uploads data which includes information on stresses that sensor has been exposed to, such as number of CIP cycles. From this, current status is relayed to user who can be informed on sensor maintenance requirements.
Minimize Waste of Beer with Optical Oxygen Measurement
Rapid and accurate measurement of dissolved oxygen is important for reducing beer losses in filling plants. METTLER TOLEDO's new InPro6970i helps to minimize waste of beer and to reduce maintenance costs.
New alternative
Over many years, in-line oxygen systems have proven to be successful in monitoring a variety of process steps in breweries. Now, in addition to METTLER TOLEDO's well established electrochemical sensors, there is an alternative available for highly demanding brewery applications.
Minimal loss of beer
The InPro6970i, our new optical sensor, is based on fluorescence quenching technology and is characterized by a reduced requirement for maintenance and calibration. Further, its performance in respect of measurement stability and response time are better than non-optical sensors. Consequently, possible beer losses in the filling plant can be minimized.
Lower maintenance costs
The new optical system is equipped with Intelligent Sensor Management (ISM) functionality, just like our O2, turbidity and pH measuring systems. METTLER TOLEDO's ISM technology has been developed in order to increase operational availability of a measurement loop and to provide tools that allow preventative maintenance.
This is achieved through the application of a "Plug & Measure" principle: every time a sensor is connected to the transmitter, characteristic sensor data are automatically uploaded to the transmitter. This leads to a rapid start-up and enables quick sensor replacement.
The data includes information on stresses that the sensor has been exposed to - for example the number of CIP cycles - and from this, the current status of the sensor is established and made available to the user. The user can therefore stay informed about any sensor maintenance required before a critical and costly loss of measuring performance occurs.
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