Abstract: A diagnostic instrument failure prediction and remediation system may include a compressed air system and a computer configured to analyze stored information regarding the compressed air system to predict likely failures of the compressed air system. Such analysis may utilize information such as duty cycle information for a compressor comprised by the compressed air system and pressure information for a pressure sensor for a compressed air system.

Abstract: Misalignment of intersecting devices on a diagnostic instrument may be detected and remediated using a system comprising components such as an accelerometer, a plurality of strain gauges and a device comprising a processor and a memory (e.g., a computer). In such a system, the accelerometer may be adapted to detect movement of the diagnostic instrument. The device comprising the processor and the memory may be configured to, for each of the structural elements of the diagnostic instrument, determine whether an alignment change has taken place in that structural element based on analyzing measurements made by the plurality of strain gauges. The device comprising the processor and the memory may also be configured to, for each structural element where an alignment change is determined to have taken place, trigger a remediation for each device from a set of devices impacted by the alignment change of that structural element.

Abstract: A diagnostic instrument failure prediction and remediation system may include a compressed air system and a computer configured to analyze stored information regarding the compressed air system to predict likely failures of the compressed air system. Such analysis may utilize information such as duty cycle information for a compressor comprised by the compressed air system and pressure information for a pressure sensor for a compressed air system.

Abstract: Misalignment of intersecting devices on a diagnostic instrument may be detected and remediated using a system comprising components such as an accelerometer, a plurality of strain gauges and a device comprising a processor and a memory (e.g., a computer). In such a system, the accelerometer may be adapted to detect movement of the diagnostic instrument. The device comprising the processor and the memory may be configured to, for each of the structural elements of the diagnostic instrument, determine whether an alignment change has taken place in that structural element based on analyzing measurements made by the plurality of strain gauges. The device comprising the processor and the memory may also be configured to, for each structural element where an alignment change is determined to have taken place, trigger a remediation for each device from a set of devices impacted by the alignment change of that structural element.

Abstract: A geospatial maintenance server collects information from lab instruments such as usage information, instrument uptime, operational performance, and other characteristics. Such information may be used to identify upcoming maintenance needs for lab instruments, including usage based preventative maintenance, and unanticipated degradation based maintenance. A geospatial maintenance interface is provided that allows a user to select a certain country, region, state, or other geographic area to view information on lab instruments and maintenance needs within that area. The interface may display graphs showing uptime for various time periods, comparisons to uptime in other areas, maps with symbols indicating areas and types of maintenance needs, and per-device descriptions of maintenance needs. The interface may also be used to automate efficient and economical assignment of technicians to address maintenance tasks.