The present disclosure describes monitoring systems and methods for data collection in an industrial environment. A system can include a data collector and a data acquisition circuit to interpret a plurality of detection values corresponding to input channels, wherein the data acquisition circuit acquires sensor data from a first route of input channels. A data storage stores sensor specifications for sensors and a data analysis circuit evaluates the sensor data with respect to the stored anticipated state information including an alarm threshold level. The data analysis circuit sets an alarm state when the alarm threshold level is exceeded for a first input channel and transmits the alarm state to a routing control facility. A response circuit changes the routing of the input channels to an alternate routing upon reception of a routing change indication from the routing control facility.

A method for operating an industrial automation system may involve receiving, via a first module of a plurality of modules in a control system, an indication that an error between a measurement associated with a target variable that corresponds with at least a portion of the industrial automation system and a modeled value for the target variable. The method may then involve determining, via the first module, whether the error is within a first range of values and retraining a model used to generate the modeled value for the target variable based on a portion of a plurality of sets of data points acquired via a plurality of sensors disposed in the industrial automation system in response to the error being within the first range of values.

Systems, methods and apparatus for modifying a data collection trajectory for conveyors are described. An example system may include a data acquisition circuit to interpret a plurality of detection values, each corresponding to at least one of a plurality of input sensors communicatively coupled to the data acquisition circuit. The system may further include a data storage circuit to store specifications and anticipated state information for a plurality of conveyor types and an analysis circuit to analyze the plurality of detection values relative to specifications and anticipated state information to determine a conveyor performance parameter. A response circuit may initiate an action in response to the conveyor performance parameter.

Systems, methods and apparatus for modifying a data collection trajectory for centrifuges are described. An example system may include a data acquisition circuit to interpret a plurality of detection values, each corresponding to at least one of a plurality of input sensors communicatively coupled to the data acquisition circuit. The system may further include a data storage circuit to store specifications and anticipated state information for a plurality of centrifuge types and an analysis circuit to analyze the plurality of detection values relative to specifications and anticipated state information to determine a centrifuge performance parameter. A response circuit may initiate an action in response to the centrifuge performance parameter.

Systems, devices and methods for bearing analysis in an industrial environment are disclosed. A data acquisition circuit structured to interpret a plurality of detection values corresponding to a plurality of input sensors coupled to the data acquisition circuit, a data storage for storing specifications and anticipated state information for a plurality of bearing types and buffering the plurality of detection values for a predetermined length of time, and a bearing analysis circuit to analyze buffered detection values relative to specifications and anticipated state information resulting in at least one bearing parameter are described. Analysis may include filtering the detection values through a high pass filter, identifying rapid changes in detection values, identifying frequencies at which spikes occur and comparing frequencies and spikes in amplitude relative to an anticipated state information and specification.

Systems and methods for changing a sensed parameter group include a data collector communicatively coupled to a plurality of input sensors, each of the plurality of input sensors operatively coupled to a one of a mixer or an agitator, wherein the one of the mixer or the agitator comprises a component of an industrial environment; a controller, comprising: a data acquisition circuit structured to interpret a plurality of detection values corresponding to a sensed parameter group, wherein the sensed parameter group comprises at least a portion of the plurality of input sensors; a pattern recognition circuit structured to determine a recognized pattern value in response to the plurality of detection values; and a sensor learning circuit structured to update the sensed parameter group in response to the recognized pattern value.

A system for changing a sensed parameter group for a motor includes a data collector communicatively coupled to a plurality of input sensors, each of the plurality of input sensors operatively coupled to a motor, wherein the motor comprises a component of an industrial environment; a controller, comprising: a data acquisition circuit structured to interpret a plurality of detection values corresponding to a sensed parameter group, wherein the sensed parameter group comprises at least a portion of the plurality of input sensors; a pattern recognition circuit structured to determine a recognized pattern value in response to the plurality of detection values; and a sensor learning circuit structured to update the sensed parameter group in response to the recognized pattern value.

Methods and systems for data collection in an industrial refining environment with haptic feedback and data storage control are disclosed. A system may include a data collector communicatively coupled to a plurality of input channels, wherein the data collector collects data based on a selected data collection routine, a data storage structured to store a plurality of collector routes and collected data, wherein the plurality of collector routes each include a different data collection routine, a data acquisition circuit structured to interpret the collected data and determine an occurrence of an anomalous condition, a data analysis circuit to evaluate a data storage constraint of the monitoring system and to adjust a volume of collected data stored in response to the evaluation, and a haptic user device for generating a haptic stimulation in response to an occurrence of a specified anomalous condition in the refining environment.

A monitoring system for data collection related to a production line of an industrial environment includes a data storage structured to store a plurality of data collection templates, each of the plurality of data collection templates comprising a data collection routine; a data collector structured to interpret a plurality of detection values that correspond to a plurality of input channels, wherein the plurality of detection values are obtained according to a data collection routine corresponding to a selected one of the plurality of data collection templates; wherein the data storage is further structured to store at least a portion of the plurality of detection values; a data analysis circuit structured to interpret at least a subset of the detection values to determine a state value corresponding to one of a process or a component of the production line; and an expert system circuit structured to perform a data collection modification by performing one of: adjusting the data collection routine corresponding to the selected one of the plurality of data collection templates; or selecting a different one of the plurality of data collection templates.

Systems and methods for data collection in an industrial production line are disclosed. A systems may include a plurality of data collectors, including a swarm of self-organized data collector members, wherein the swarm of self-organized data collector members organize to enhance data collection based on at least one of capabilities and conditions of the data collector members of the swarm, and a data acquisition and analysis circuit for receiving the collected data and analyzing the received collected data using a neural network to determine an occurrence of an anomalous condition of at least one component.