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.

Systems and methods for data collection in an industrial environment are disclosed. An expert graphical user interface showing representations of components of an industrial machine to which sensors are attach is disclosed. The user interface may enable a user to select at least one of the components resulting in a search of a database of industrial machine failure modes for modes that correspond to the selected component. The corresponding failure mode may be presented to the user. The selection of the component may cause a controller to reference and implement a data collection template for configuring the system to automatically collect data from sensors associated with the selected component to detect at least one of the corresponding failure modes.

Systems and methods for data collection in an industrial environment are disclosed. An expert graphical user interface showing representations of components of an industrial machine to which sensors are attach is disclosed. The user interface may enable a user to select at least one of the components resulting in a search of a database of industrial machine failure modes for modes that correspond to the selected component. The corresponding failure mode may be presented to the user. The selection of the component may cause a controller to reference and implement a data collection template for configuring the system to automatically collect data from sensors associated with the selected component to detect at least one of the corresponding failure modes.

Methods and systems for policy automation for a data collection system in an industrial environment are disclosed. A policy input interface may be structured to receive policy inputs relating to definition of at least one parameter of at least one of a rule, a policy, or a protocol, wherein the at least one parameter defines at least one of: a configuration for a data collection device, an access policy for accessing data from the data collection device, or a collection policy for collection of data by the data collection device, and a policy automation engine structured to interpret the policy inputs and automatically configure and deploy the at least one of the rule, the policy, or the protocol within the data collection system.

An apparatus, methods and systems for network-sensitive data collection related to a process in an industrial environment are disclosed. The system can include a data collector communicatively coupled to a plurality of input channels and to a network infrastructure, each of the plurality of input channels communicatively coupled to at least one sensor of the industrial environment, a data storage circuit structured to store a plurality of collector routes and wherein the data collector receives collected data from the plurality of input channels utilizing a collector route, a data analysis circuit structured to determine a data collection quality parameter and interpret the collected data to determine a state value of the industrial environment and an analysis response circuit structured to adjust the selected one of the plurality of collector routes in response to one of the data collection quality parameter or the state value of the industrial environment.

Methods and systems for data collection in a chemical or pharmaceutical production process with haptic feedback and control of data communication are disclosed. A system can include a data collector to collect data from plurality of input channels based on a selected data collection routine, a data storage to store a plurality of collector routes and collected data, wherein the plurality of collector routes each includes a different data collection routine, a data acquisition circuit to interpret the collected data and determine an occurrence of an anomalous condition, a data analysis circuit to analyze the collected data by evaluating a data communication constraint of the monitoring system and adjusting a volume of collected data communicated between the input channels and the data storage, and a haptic user device for generating a haptic stimulation in response to an occurrence of a specified anomalous condition.

An apparatus, methods and systems for a monitoring system for data collection in a vehicle are disclosed. The system can include a data acquisition circuit structured to interpret a plurality of detection values, each of the plurality of detection values corresponding to input received from at least one of a plurality of input sensors, each of the plurality of input sensors operatively coupled to at least one of a plurality of components of the vehicle, a data analysis circuit structured to determine a state value, wherein the data analysis circuit includes a pattern recognition circuit structured to determine the state value by analyzing a subset of the plurality of detection values and at least one external detection value using at least one of a neural net or an expert system, and an analysis response circuit structured to adjust a parameter of the vehicle in response to the state value.

Methods and systems for a monitoring system for data collection in an industrial environment including a data collector communicatively coupled to a plurality of input channels, wherein at least one input channel is connected to a high data rate source; a data storage structured to store detection parameters for the plurality of input channels, wherein a high data rate detection parameter is stored, wherein the high data rate detection parameter comprises at least a portion of data from the high data rate source; a data analysis circuit structured to analyze the plurality of detection values by evaluating a data handling constraint of the monitoring system with respect to the high data rate detection parameter; and a response circuit structured to adjust a data selection parameter to thereby adjust a data volume handled by the monitoring system in response to the data handling constraint.

Methods and systems for data collection in an industrial environment include a data collector communicatively coupled to a plurality of input channels, wherein at least one of the input channels is connected to a vibration detection facility coupled to a plurality of vibration components. A data storage stores a plurality of vibration patterns for the plurality of vibration components in a library of vibration patterns. A data acquisition circuit interprets a plurality of detection values, each comprising a representation of collected data corresponding to at least one of the plurality of input channels. A data analysis circuit analyzes the plurality of detection values to determine if one of the plurality of vibration components has a recognized vibration pattern corresponding to a stored vibration pattern from the library of vibration patterns. A response circuit adjusts a process of the environment in response to the vibration component having the recognized vibration pattern.

Systems and methods for data collection and detection of motor noise patterns are disclosed. A system may include a data collector communicatively coupled to at least one input channel, wherein the at least one input channel is operatively coupled to a vibration detection facility structured to detect a motor noise pattern of a motor, a library to store the detected motor noise pattern, an interface circuit structured to make the detected motor noise pattern available to a motor noise pattern data marketplace including a plurality of motor noise patterns from a plurality of motors, and a user interface for accessing at least one of the plurality of motor noise patterns of the motor noise pattern marketplace.