A computer implemented method for determining target data for artificial intelligence is disclosed. In one aspect, the method may include identifying an indication of a target state of a first industrial process or asset, and/or of a second industrial process or asset operatively associated with the first industrial process or asset, and determining target data, based on the identified indication of the target state. The identification of the indication of the target state may be based on first monitoring data indicative of data output from first monitoring data source(s) associated with the first industrial process or asset or with the second industrial process or asset. The target data may be determined from second monitoring data indicative of data output from second monitoring data source(s) associated with the first industrial process or asset.

An industrial safety zone configuration system leverages a digital twin of an industrial automation system to assist in configuring safety sensors for accurate monitoring of a desired detection zone. The system renders a graphical representation of the automation system based on the digital twin and allows a user to define a desired detection zone to be monitored as a three-dimensional volume within the virtual industrial environment. Users can define the locations and orientations of respective safety sensors as sensor objects that can be added to the graphical representation. Each sensor object has a set of object attributes representing configuration settings available on the corresponding physical sensor. The system can identify sensor configuration settings that will yield an estimated detection zone that closely conforms to the defined detection zone, and generate sensor configuration data based on these settings that can be used to configure the physical safety sensors.

An industrial safety zone configuration system leverages a digital twin of an industrial automation system to assist in configuring safety sensors for accurate monitoring of a desired detection zone. The system renders a graphical representation of the automation system based on the digital twin and allows a user to define a desired detection zone to be monitored as a three-dimensional volume within the virtual industrial environment. Users can define the locations and orientations of respective safety sensors as sensor objects that can be added to the graphical representation. Each sensor object has a set of object attributes representing configuration settings available on the corresponding physical sensor. The system can identify sensor configuration settings that will yield an estimated detection zone that closely conforms to the defined detection zone, and generate sensor configuration data based on these settings that can be used to configure the physical safety sensors.

A tangible, non-transitory, machine-readable medium includes instructions that, when executed by a processor, cause the processor to determine an active operating condition of the heating, ventilation, and/or air conditioning (HVAC) system based on the active operating data related to the HVAC system, retrieve an existing service log having a maintenance procedure corresponding to the active operating condition of the HVAC system, and record an entry service log. The entry service log includes the active operating data, the active operating condition, and an updated version of the maintenance procedure corresponding to the active operating condition.

A tangible, non-transitory, machine-readable medium includes instructions that, when executed by a processor, cause the processor to determine an active operating condition of the heating, ventilation, and/or air conditioning (HVAC) system based on the active operating data related to the HVAC system, retrieve an existing service log having a maintenance procedure corresponding to the active operating condition of the HVAC system, and record an entry service log. The entry service log includes the active operating data, the active operating condition, and an updated version of the maintenance procedure corresponding to the active operating condition.

A system and process for detecting dynamic segregation in concrete rotated within a mixer drum, such as mounted on a delivery truck. A system processor is programmed to monitor an instantaneous and averaged rheology parameter and to deploy protocols for detecting segregation. A first protocol comprises monitoring the averaged slump during and immediately after a jump in drum speed of at least plus or minus four rotations per minute and detecting when a change in the averaged slump value meets or exceeds a threshold; and a second protocol comprises monitoring the instantaneous slump when the mixer drum is rotating at a constant speed for at least three successive rotations and detecting when the instantaneous slump value meets or exceeds a threshold limit. Once segregation is detected, one or more operations can be initiated, such as initiating an alarm or adjusting the mix.

A system and process for detecting dynamic segregation in concrete rotated within a mixer drum, such as mounted on a delivery truck. A system processor is programmed to monitor an instantaneous and averaged rheology parameter and to deploy protocols for detecting segregation. A first protocol comprises monitoring the averaged slump during and immediately after a jump in drum speed of at least plus or minus four rotations per minute and detecting when a change in the averaged slump value meets or exceeds a threshold; and a second protocol comprises monitoring the instantaneous slump when the mixer drum is rotating at a constant speed for at least three successive rotations and detecting when the instantaneous slump value meets or exceeds a threshold limit. Once segregation is detected, one or more operations can be initiated, such as initiating an alarm or adjusting the mix.

A method of detecting a fault in an oil and gas apparatus controlled by a controller is provided. The method includes collecting a test set of data using a sensor proximate to an oil and gas apparatus during the operation of the oil and gas apparatus under test operating conditions, the test set of data being associated with an operating parameter of the controller, determining a percentage of the test set of data that falls outside a normal operation region of the oil and gas apparatus, and configuring the controller in response to the percentage being between a fault-free percentage threshold and a fault percentage threshold.

A method of detecting a fault in an oil and gas apparatus controlled by a controller is provided. The method includes collecting a test set of data using a sensor proximate to an oil and gas apparatus during the operation of the oil and gas apparatus under test operating conditions, the test set of data being associated with an operating parameter of the controller, determining a percentage of the test set of data that falls outside a normal operation region of the oil and gas apparatus, and configuring the controller in response to the percentage being between a fault-free percentage threshold and a fault percentage threshold.

Situational-awareness controllers and methods to increase situational-awareness for an actor associated with a triggering event are described. An example method includes in response to receiving a notification of a triggering event generated by at least one sensor, a computing device accessing information that includes related to an actor associated with the triggering event. The computing device correlates the information to a compilation of historical information by (i) determining whether the actor's location is associated with one or more safety events stored as part of the compilation of historical information and (ii) determining a risk level of the actor based on whether the one or more associated safety events occurred within a predetermined range of time from the time associated with the triggering event. The computing device generates a command based on a result of the correlating and sends the command to at least one controllable device.