Systems, methods and apparatus for network sensitive data collection are disclosed. A system according to one embodiment can include a plurality of input sensors operatively coupled to a component of an industrial environment and a data collector having a controller. The controller may include: a transmission environment circuit to determine a transmission condition corresponding to transmission of a subset of output data, a network management circuit to update a sensor data transmission protocol, a data collection band circuit to determine at least one collection parameter, a machine learning data analysis circuit to receive output data and learn at least one output data pattern, and a response circuit to adjust an operating parameter of the component based on one of a mismatch or a match of the at least one output data pattern and the state of the component.

Systems, methods and apparatus for data collection in an industrial environment having wearable haptic stimulators are disclosed. Data received from a plurality of sensors operationally coupled to a machine of an industrial environment, where the data is representative of a sensed condition, may be used to determine at least one haptic stimulation that corresponds to the received data. In response to the determined haptic stimulation, at least one signal may be sent to at least one wearable haptic stimulator, wherein the wearable haptic stimulator is responsive to the signal.

Systems, methods and apparatus for monitoring data collection are disclosed. A system according to one disclosed non-limiting embodiment of the present disclosure can include a plurality of input sensors operatively coupled to a component in a power station, the plurality of input sensors communicatively coupled to a data collector having a controller, the controller including: a data collection band circuit structured to determine a collection parameter for at least one of the plurality of sensors from which to process output data, and a machine learning data analysis circuit structured to receive output data and learn output data patterns indicative of a state of the power station, wherein the monitoring system adjusts an operating parameter of a component of the power station based on one of a mismatch or a match of the output data pattern and the state of the power station.

Methods and apparatus for managing at least one renewable energy source for supply of power via an electric grid are disclosed. A method supplies power to mobile devices from the renewable energy source and balances power realized by the mobile devices with the supply of power from the renewable energy source by controlling the supply of power realized by the mobile devices. An apparatus includes a processor for monitoring power from the renewable energy source and sending signals to mobile devices connected to the electric grid to balance monitored power from the renewable energy source with power realized by the mobile devices. Another method identifies a fixed account associated with a grid connection point used by a plug-in electric vehicle for realizing power during a connection event; determines a quantity of energy realized during the event; and adjusts the account based on energy realized by the vehicle during the event.

Systems and methods for data collection in an industrial environment are disclosed. A system may include a data collector to collect data from a subset of a plurality of input channels based on a selected data collection routine, and a data acquisition and analysis circuit for receiving the collected data and analyzing the collected data using an expert system analysis circuit to determine an occurrence of an anomalous condition for a machine component based on an analysis. The expert system analysis circuit may utilize a neural network. The data analysis circuit may determine an aggregate rate of data being collected and, if the aggregate rate exceeds a current bandwidth allocation rate associated with the network infrastructure, request an increase to the current bandwidth allocation rate from the network infrastructure.

An apparatus, methods and systems for collecting data related to an industrial process are disclosed. The system can include a data storage structured to store a plurality of data collection routines, each of the plurality of data collection routines comprising a data collection band, a data collector structured to interpret a plurality of detection values that correspond to a plurality of input channels, 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 industrial process, and an expert system circuit structured to adjust at least one of the plurality of data collection routines in response to the state value.

A self-organizing data marketplace includes a plurality of data collectors and a corresponding plurality of industrial environments, wherein each of the plurality of data collectors is structured to collect detection values from at least one sensor of the corresponding industrial environment, a data storage structured to store a data pool comprising at least a portion of the detection values, a data marketplace structured to self-organize the data pool, and a transaction system structured to interpret a user data request, and to selectively provide a portion of the self-organized data pool to the user in response to the user data request.

Systems and methods of a data collection system including a data marketplace in an industrial environment are disclosed. An input interface, in communication with at least one of a data pool and a data stream, may be structured to receive data inputs from or about one or more of a plurality of industrial machines, broker, and execute a data transaction among at least two marketplace participants including setting a price and a marketplace value rating for at least one a plurality of data inputs.

Systems, methods and apparatus for data monitoring are disclosed. A system may 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 communicatively coupled to the data acquisition circuit, a data storage circuit structured to store specifications and anticipated state information for a plurality of bearing types, a bearing analysis circuit structured to analyze the plurality of detection values relative to specifications and anticipated state information to determine a bearing performance parameter, and a response circuit structured to initiate an action in response to the bearing performance parameter.

System for data collection and monitoring in an industrial environment are disclosed. A data acquisition circuit may interpret a plurality of detection values, each of the plurality of detection values corresponding to at least one of a plurality of input sensors. A data storage circuit may store sensor specifications, anticipated state information and detected values for use by a signal evaluation to determine a sensor overload status, a sensor fault status or a sensor validity value of at least one sensor in response to the plurality of detection values and at least one of an anticipated state information or a sensor specification. A response circuit may perform an operation in response to one of a sensor overload status, a sensor health status, or a sensor validity status.