Integrating machine learning into control systems for industrial facilities

A system comprising:

• one or more computers;
• and
• one or more storage devices storing instructions that are operable, when executed on one or more computers, to cause the one or more computers to perform operations comprising:
• receiving, from a machine learning system, an industrial facility setting slate that the machine learning system predicts will optimize an efficiency of an industrial facility, wherein the industrial facility settings slate defines a respective setting for each of a plurality of industrial facility controls;
• determining whether the industrial facility settings defined by the industrial facility setting slate can safely be adopted by the industrial facility;
• and
• in response to determining that the industrial facility settings defined by the industrial facility setting slate can safely be adopted, adopting the industrial facility settings defined by the industrial facility setting slate.

A computer program product comprising instructions that are executable by a processing device and upon such execution cause the processing device to perform operations of:

• receiving, from a machine learning system, an industrial facility setting slate that the machine learning system predicts will optimize an efficiency of an industrial facility, wherein the industrial facility settings slate defines a respective setting for each of a plurality of industrial facility controls;
• determining whether the industrial facility settings defined by the industrial facility setting slate can safely be adopted by the industrial facility;
• and
• in response to determining that the industrial facility settings defined by the industrial facility setting slate can safely be adopted, adopting the industrial facility settings defined by the industrial facility setting slate.

A device for controlling physical infrastructure in an industrial facility, the device comprising:

• a controller that performs operations comprising:
• receiving, from a machine learning system, an industrial facility setting slate that the machine learning system predicts will optimize an efficiency of an industrial facility, wherein the industrial facility settings slate defines a respective setting for each of a plurality of industrial facility controls;
• determining whether the industrial facility settings defined by the industrial facility setting slate can safely be adopted by the industrial facility;
• and
• in response to determining that the industrial facility settings defined by the industrial facility setting slate can safely be adopted, adopting the industrial facility settings defined by the industrial facility setting slate.