Real-time alerts and transmission of selected signal samples under a dynamic capacity limitation

A system, comprising:

• a production station, comprising:
• an alerting device, including instructions that cause the alerting device to:
• receive a sample stream from a sensor of a set of sensors of the production station;
• analyze the sample stream for anomalies in real time by inputting samples of the sample stream into an anomaly machine learning model trained to detect certain event patterns as anomaly patterns;
• select a subset of the samples of the sample stream based on an extent of the anomaly patterns of the samples compared to a statistical model, wherein selecting the subset of samples includes determining a link capacity of a link connecting the production station to a base facility containing the statistical model;
• transmit the selected subset of samples to the base facility;
• receive an updated anomaly machine learning model;
• and
• upon receiving the updated anomaly machine learning model, analyze the sample stream for anomalies in real time by inputting samples of the sample stream into the updated anomaly machine learning model;
• and
• the base facility, including instructions that cause the base facility to:
• receive, from the alerting device, the subset of samples;
• update the statistical model using the subset of samples;
• generate an updated anomaly machine learning model based on the updated statistical model;
• and
• transmit the updated anomaly machine learning model to the alerting device.

A method, comprising:

• receiving a sample stream from a sensor of a set of sensors of the production station;
• analyzing the sample stream for anomalies in real time by inputting samples of the sample stream into an anomaly machine learning model trained to detect certain event patterns as anomaly patterns;
• select a subset of the samples of the sample stream based on an extent of the anomaly patterns of the samples compared to a statistical model, wherein selecting the subset of samples includes determining a link capacity of a link connecting the production station to a base facility containing the statistical model;
• transmitting the selected subset of samples to the base facility;
• receiving an updated anomaly machine learning model;
• and
• upon receiving the updated anomaly machine learning model, analyze the sample stream for anomalies in real time by inputting samples of the sample stream into the updated anomaly machine learning model.