An apparatus, methods and systems for data collection in an industrial environment are disclosed. A monitoring system can include a data collector structured to collect high data rate data, wherein the data collector is communicatively coupled to a plurality of input channels, each of the plurality of input channels connected to a corresponding one of a plurality of high data rate sources. A plurality of distributed data acquisition circuits are structured to interpret a plurality of detection values from the high data rate data collected from the plurality of input channels, each of the plurality of detection values corresponding to at least one of the plurality of input channels. A controller is configured to distribute a data processing operation of the plurality of detection values between at least two processing components of the industrial environment.

Methods and systems for monitoring a plurality of components of a pump in an industrial environment include a data acquisition circuit structured to interpret a plurality of detection values, each of the plurality of detection values corresponding to at least one of a plurality of input sensors operationally coupled to the pump and communicatively coupled to the data acquisition circuit; a data processing circuit structured to utilize at least one of the plurality of detection values to perform at least one noise processing operation on at least a portion of the plurality of detection values; a signal evaluation circuit structured to determine a pump performance parameter in response to the noise processed plurality portion of the plurality of detection values; and a response circuit structured to perform at least one operation in response to the pump performance parameter.

Methods and systems for process monitoring through data collection in a pharmaceutical production process include a data collector communicatively coupled to a plurality of input channels, each input channel connected to a monitoring point from which data is collected, the collected data providing a plurality of process parameter values for the pharmaceutical production process; a data storage structured to store collected data from the plurality of input channels; a data acquisition circuit structured to interpret the plurality of process parameter values from the collected data; a data analysis circuit structured to analyze the plurality of process parameter values to detect a process condition associated with the pharmaceutical production process; and a response circuit structured to adjust an operational process for the pharmaceutical production process in response to the detected process condition.

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 process monitoring through data collection in a production environment can include a data collector communicatively coupled to a plurality of input channels, each input channel connected to a monitoring point from which data is collected, the collected data providing a plurality of process parameter values for the production environment; a data storage structured to store collected data from the plurality of input channels; a data acquisition circuit structured to interpret the plurality of process parameter values from the collected data; a data analysis circuit structured to analyze the plurality of process parameter values to detect a process condition associated with the production environment; and a response circuit structured to adjust an operational process for the production environment in response to the detected process condition.

Methods and systems for detection in an industrial internet of things data collection environment with a distributed ledger for long blocks of high res data are disclosed. An example monitoring system for data collection in an industrial environment may include a data collector to collect high data rate data, wherein the data collector is communicatively coupled to a plurality of input channels connected high data rate sources; and a distributed ledger to store high data rate data, wherein the data collector is configured to distribute high data rate data from the plurality of input channels to the distributed ledger based on at least one of: a network condition; an intelligent, remote management of a distribution of the high data rate data; or a self-organization of the data collector.

A system for changing a sensed parameter group for a pump or fan includes 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 pump or a fan, wherein the one of the pump or the fan 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.

Systems and methods for data collection in an industrial environment can include a data collector communicatively coupled to a plurality of input channels, each of the plurality of input channels connected to a corresponding one of a plurality of data sources in the industrial environment; a plurality of distributed data acquisition circuits structured to interpret a plurality of detection values from the data collected from the plurality of input channels, each of the plurality of detection values corresponding to at least one of the plurality of input channels; and a controller. The controller may include a transmission environment circuit structured to determine a transmission condition corresponding to transmission of data a network; and a network management circuit structured to distribute a data processing operation of the plurality of detection values between at least two processing components of the industrial environment.

Systems and methods for self-organizing data collection based on a production environment parameter are disclosed. An example monitoring system for data collection in a production environment may include a data collector coupled to a plurality of input channels coupled to a plurality of sensors co-located on a component of the production environment and to a network infrastructure; a data storage to store collected data; a data acquisition circuit to interpret a plurality of detection values, each of the plurality of detection values corresponding to at least one of the input channels; an expert system to self-organize data collection, wherein the self-organizing is based on a production parameter of the production environment; and wherein the data collector is responsive to the self-organizing to change a collection of the data.