Abstract: A system for automated control of an industrial process system, comprising: a data historian storing measured process data sensed by a plurality of sensors within the industrial process system; a processor; and, memory storing a control engine as computer readable instructions that, when executed by the processor, cause the processor to: receive an artificial intelligence control setpoint for controlling an operating condition of the industrial process system; compare the artificial intelligence control setpoint to a static threshold and a dynamic threshold; and output a control signal, to manipulate the operating condition, as one of the artificial intelligence control setpoint, the static threshold, or the dynamic threshold based on a relationship of the artificial intelligence control setpoint to the static threshold or dynamic threshold.

Abstract: Emissions of NOX and/or CO are reduced at the stack by systems and methods wherein a primary fuel is thoroughly mixed with a specific range of excess combustion air. The primary fuel-air mixture is then discharged and anchored within a combustion chamber of a burner. Further, the systems and methods provide for dynamically controlling NOX content in emissions from a furnace by adjusting the flow of primary fuel and of a secondary stage fuel, and in some cases controlling the amount or placement of combustion air into the furnace.

Abstract: Emissions of NOX and/or CO are reduced at the stack by systems and methods wherein a primary fuel is thoroughly mixed with a specific range of excess combustion air. The primary fuel-air mixture is then discharged and anchored within a combustion chamber of a burner. Further, the systems and methods provide for dynamically controlling NOX content in emissions from a furnace by adjusting the flow of primary fuel and of a secondary stage fuel, and in some cases controlling the amount or placement of combustion air into the furnace.

Abstract: Emissions of NOX and/or CO are reduced at the stack by systems and methods wherein a primary fuel is thoroughly mixed with a specific range of excess combustion air. The primary fuel-air mixture is then discharged and anchored within a combustion chamber of a burner. Further, the systems and methods provide for dynamically controlling NOX content in emissions from a furnace by adjusting the flow of primary fuel and of a secondary stage fuel, and in some cases controlling the amount or placement of combustion air into the furnace.

Abstract: Emissions of NOx and/or CO are reduced at the stack by systems and methods wherein a primary fuel is thoroughly mixed with a specific range of excess combustion air. The primary fuel-air mixture is then discharged and anchored within a combustion chamber of a burner. Further, the systems and methods provide for dynamically controlling NOx content in emissions from a furnace by adjusting the flow of primary fuel and of a secondary stage fuel, and in some cases controlling the amount or placement of combustion air into the furnace.

Abstract: A system and method to preserve the integrity of data being extracted from an electronic data recorder (“EDR”) of an electronic control module (“ECM”) makes use of a forensic link adapter (20) and, optionally, a sensor simulator (10) (when the ECM is out of the vehicle). The forensic link adapter (20) has one or more first microprocessors (23) and associated first software which prevent any message being sent by an external network from corrupting the previously recorded data measurements. The data measurements are then extracted, verified, and stored in a separate file. The sensor simulator (10) has one or more second microprocessors (23), associated second software, and a bank of resistors (21) that mimic sensors normally in communication with the ECM. The simulator “tricks” the ECM into thinking it is still in the vehicle by using the replicating vehicle system values the ECM normally sees when in the vehicle.

Abstract: A system and method to preserve the integrity of data being extracted from an electronic data recorder (“EDR”) of an electronic control module (“ECM”) makes use of a forensic link adapter and, optionally, a sensor simulator (when ECM is out of the vehicle). The forensic link adapter has one or more first microprocessors and a first software means which prevent any message being sent by an external network from corrupting the previously recorded data measurements. The data measurements are then extracted, verified, and stored in a separate file. The sensor simulator has one or more second microprocessors, a second software means, and a bank of resistors that mimic sensors normally in communication with the ECM. The simulator “tricks” the ECM into thinking it is still in the vehicle by using the replicating vehicle system values the ECM normally sees when in the vehicle.

Abstract: A system and method to preserve the integrity of data being extracted from an electronic data recorder (“EDR”) of an electronic control module (“ECM”) makes use of a forensic link adapter (20) and, optionally, a sensor simulator (10) (when the ECM is out of the vehicle). The forensic link adapter (20) has one or more first microprocessors (23) and a first software means which prevent any message being sent by an external network from corrupting the previously recorded data measurements. The data measurements are then extracted, verified, and stored in a separate file. The sensor simulator (10) has one or more second microprocessors (23), a second software means, and a bank of resistors (21) that mimic sensors normally in communication with the ECM. The simulator “tricks” the ECM into thinking it is still in the vehicle by using the replicating vehicle system values the ECM normally sees when in the vehicle.

Abstract: A system and method to preserve the integrity of data being extracted from an electronic data recorder (“EDR”) of an electronic control module (“ECM”) makes use of a forensic link adapter (20) and, optionally, a sensor simulator (10) (when ECM is out of the vehicle). The forensic link adapter (20) has one or more first microprocessors (23) and a first software means which prevent any message being sent by an external network from corrupting the previously recorded data measurements. The data measurements are then extracted, verified, and stored in a separate file. The sensor simulator (10) has one or more second microprocessors (23), a second software means, and a bank of resistors (21) that mimic sensors normally in communication with the ECM. The simulator “tricks” the ECM into thinking it is still in the vehicle by using the replicating vehicle system values the ECM normally sees when in the vehicle.