Intelligent maintenance for scientific instruments

Abstract

Systems or techniques are provided for facilitating intelligent maintenance for scientific instruments. In various embodiments, a scientific instrument can comprise a chromatograph-equipped mass spectrometer. In various aspects, the scientific instrument can determine, based on an electronic counter or readback sensor associated with the chromatograph-equipped mass spectrometer failing to satisfy a threshold, whether performance of a maintenance task on the chromatograph-equipped mass spectrometer is warranted. In various instances, the scientific instrument can schedule, in response to a determination that the performance of the maintenance task is warranted, a time or date for the performance of the maintenance task, wherein the time or date can be predicted by a machine learning model based on an operational history of the chromatograph-equipped mass spectrometer. In various cases, the scientific instrument can prepare for the performance of the maintenance task, by adjusting, prior to the time or date, actuatable hardware of the chromatograph-equipped mass spectrometer.

Dependencies are inferred from the claim text.