INTEGRATING MACHINE LEARNING INTO CONTROL SYSTEMS FOR INDUSTRIAL FACILITIES

• Main Authors: Fuenffinger, Daniel, Schwabacher, Mark, Luo, Jerry, Gamble, Christopher, Barker, David, Kim, Brian, Bennett, Zakerey, Panneershelvam, Vedavyas, Gao, Jim, Gasparik, Amanda, Kieper, Timothy Jason, Reishus, Dustin, Webster, Stephen, Ward, Abigail
• Format: Patent
• Language: English
• Published: 09.06.2022
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; CONTROL OR REGULATING SYSTEMS IN GENERAL; CONTROLLING; COUNTING; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS ORELEMENTS; PHYSICS; REGULATING

Methods, systems, apparatus and computer program products for implementing machine learning within control systems are disclosed. An industrial facility setting slate can be received from a machine learning system and a determination can be made as to whether to adopt the settings in the industrial facility setting slate. The machine learning model can be a neural network, e.g., a deep neural network, that has been trained, e.g., using reinforcement learning to predict a data setting slate that is predicted to optimize an efficiency of a data center.