Sensor metrology data intergration

A system comprising:

• a memory;
• and
• a processing device, coupled to the memory, to:
• receive a plurality of sets of sensor data, wherein each set of sensor data comprises corresponding sensor values associated with producing corresponding product by manufacturing equipment and a corresponding sensor data identifier;
• receiving a plurality of sets of metrology data, wherein each set of metrology data comprises corresponding metrology values associated with the corresponding product manufactured by the manufacturing equipment and a corresponding metrology data identifier;
• determine common portions between each corresponding sensor data identifier and each corresponding metrology data identifier to identify sensor-metrology matches;
• for each of the sensor-metrology matches, generate a corresponding set of aggregated sensor-metrology data that comprises a respective set of sensor data that corresponds to the corresponding sensor data identifier and a respective set of metrology data that corresponds to the corresponding metrology data identifier to generate a plurality of sets of aggregated sensor-metrology data;
• and
• store the plurality of sets of aggregated sensor-metrology data to train a machine learning model to provide a trained machine learning model, wherein the trained machine learning model is capable of generating one or more outputs for performing a corrective action associated with the manufacturing equipment.

A non-transitory computer readable medium having instructions stored thereon, which, when executed by a processing device, cause the processing device to:

• receive a plurality of sets of sensor data, wherein each set of sensor data comprises corresponding sensor values associated with producing corresponding product by manufacturing equipment and a corresponding sensor data identifier;
• receiving a plurality of sets of metrology data, wherein each set of metrology data comprises corresponding metrology values associated with the corresponding product manufactured by the manufacturing equipment and a corresponding metrology data identifier;
• determine common portions between each corresponding sensor data identifier and each corresponding metrology data identifier to identify sensor-metrology matches;
• for each of the sensor-metrology matches, generate a corresponding set of aggregated sensor-metrology data that comprises a respective set of sensor data that corresponds to the corresponding sensor data identifier and a respective set of metrology data that corresponds to the corresponding metrology data identifier to generate a plurality of sets of aggregated sensor-metrology data;
• and
• store the plurality of sets of aggregated sensor-metrology data to train a machine learning model to provide a trained machine learning model, wherein the trained machine learning model is capable of generating one or more outputs for performing a corrective action associated with the manufacturing equipment.