System and methods for quantization and featurization of time-series data

A method performed by a device to create a semantic index for time-series data, the method comprising:

• retrieving time-series data measured from at least one sensor;
• retrieving feature models describing possible features of the time-series data;
• evaluating the time-series data against the retrieved feature models to identify a start time for at least one feature contained in the time-series data;
• creating a feature block of the time series data, the feature block comprising a first set of identifying information, the first set of identifying information comprising at least one of:
• an equipment identifier;
• a sensor identifier;
• the start time;
• at least one descriptive label describing semantics for the feature block;
• and
• feature model identifying information descriptive of the feature block relative to at least one feature model;
• and
• storing the feature block.

A computer storage medium comprising computer executable instructions that when executed configure a device to at least:

• retrieve time-series data measured from at least one sensor;
• retrieve feature models describing possible features of the time-series data;
• evaluate the time-series data against the retrieved feature models to identify a start time for at least one feature contained in the time-series data;
• create a feature block of the time series data, the feature block comprising a first set of identifying information, the first set of identifying information comprising at least one of:
• an equipment identifier;
• a sensor identifier;
• the start time;
• at least one descriptive label describing semantics for the feature block;
• and
• feature model identifying information descriptive of the feature block relative to at least one feature model;
• and
• storing the feature block.