Data analysis software SITRANS ASM IQ
process analysisprocesscentralized

Data analysis software - SITRANS ASM IQ - Siemens Process Analytics - process analysis / process / centralized
Data analysis software - SITRANS ASM IQ - Siemens Process Analytics - process analysis / process / centralized
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Characteristics

Function
data analysis, process analysis
Applications
process
Type
centralized

Description

The reliability software for your entire process analytics: SITRANS ASM IQ The SITRANS Analyzer System Manager IQ (SITRANS ASM IQ) is the tool to optimize the operation & maintenance of your entire process analyzers by higher reliability and enhanced maintenance. Open to any kind of analyzer and communication interface, SITRANS ASM IQ integrates all the data in a centralized software to visualize them and enable data analysis. The collected data are analyzed using innovative data science functionalities to predict upcoming maintenance needs and in consequence easier maintenance in addition to automatizing typical tasks. Benefits at a glance: Increase the process performance by a higher reliability of your process analyzers Enable predictive maintenance for process analyzers by data analysis Automatization of maintenance tasks, for example validation/calibration or documentation Reduction of operating costs due to reduction of service efforts and other expenditures Support strategic optimization of process analytics by KPI Reporting Next level of Process Analytics starts now By centralizing the data from all kinds of analyzers, (vendor, technology, communication protocol), ASM IQ enables the prediction of maintenance needs using data science methods like expert-based rule set, statistics like ASTM D6299/3764 or artificial intelligence. Using that, ASM IQ can predict inaccurate measurements, problems within the sample preparation or device health degradations. In addition, ASM IQ automatizes maintenance tasks like validation/calibration, device inspection, service planning and documentation to relieve technicians from work overload.

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