Methods and systems for detection in an industrial internet of things data collection environment with intelligent data collection and equipment package adjustment for a production line are disclosed. An example system includes a data collector communicatively coupled to a plurality of input channels connected to data collection points operatively coupled to at least one piece of equipment of an equipment package of the production environment and a data acquisition circuit structured to interpret a plurality of detection values from the plurality of input channels. A data analysis circuit utilizes an expert system diagnostic tool to identify an off-nominal process state in response to the plurality of detection values and a response circuit adjusts an equipment package parameter in response to the off-nominal process state.

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 vehicle types, an analysis circuit structured to analyze the plurality of detection values relative to specifications and anticipated state information to determine a vehicle performance parameter, and a response circuit structured to initiate an action in response to the vehicle performance parameter.

A system, method and apparatus for data collection related to a chemical production process are described. 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 input received from a detection package, the detection package including at least one of a plurality of input sensors coupled to at least one of a plurality of components of the process, a data analysis circuit structured to analyze a subset of the plurality of detection values to determine at least one of a sensor state, a process state, and a component state, wherein the data analysis circuit includes a pattern recognition circuit, and an analysis response circuit structured to perform an action in response to the at least one of the sensor state, the process state, and the component state.

An apparatus including a sensor communication circuit structured to interpret a plurality of sensor data values from input sensors operationally coupled to a component of an industrial environment, a sensor data storage profile to determine a data storage profile in response to a processing capability associated with each of a plurality of data storage devices, and a data storage implementation circuit, communicatively coupled to each of the plurality of data storage devices, to store at least a portion of the sensor data values in response to the data storage profile is disclosed. The data storage profile may include a data storage plan wherein the data storage plan includes a storage location and a storage time for sensor data values.

Systems and methods utilizing noise analysis to analyze conveyor performance are disclosed. An example system for monitoring a plurality of components of a conveyor in an industrial environment may include a data acquisition circuit to interpret a plurality of detection values, each detection values corresponding to at least one of a plurality of input sensors operationally coupled to the conveyor. A data processing circuit may utilize at least one of the detection values to perform a noise processing operation on at least a portion of the detection values. A signal evaluation circuit may determine a conveyor performance parameter in response to the noise processed portion of the detection values and a response circuit may then perform at least one operation in response to the conveyor performance parameter.

Systems and methods for data communication over a plurality of data paths are disclosed. Messages between a first node and a second node may be transmitted, wherein some of the messages are transmitted over a first data path using a first communication protocol, and some of the messages are transmitted over a second data path using a second communication protocol. A determination may be made that the first data path is altering a flow of messages due to the messages being transmitted using the first communication protocol and a number of messages sent over the different data paths adjusted in response, wherein adjusting comprises decreasing a number of the messages transmitted over the first data path and increasing a number of messages transmitted over the second data path, wherein altering the flow of messages is performed automatically under control of an expert system.

An apparatus, methods and systems for monitoring data collection in an industrial environment are disclosed. The system may include a data collector communicatively coupled to a plurality of input channels and to a network infrastructure, 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, a data acquisition circuit structured to interpret a plurality of detection values from the collected data, each of the plurality of detection values corresponding to at least one of the plurality of input channels, and a data analysis circuit structured to analyze the collected data and determine an aggregate rate of data being collected, wherein if the aggregate rate exceeds a current bandwidth allocation rate associated with the network infrastructure, then the data analysis circuit requests an increase to the current bandwidth allocation rate from the network infrastructure.

Systems and methods for data collection and signal processing are disclosed, including a plurality of variable groups of analog sensor inputs, the analog sensors operationally coupled to an industrial environment. The inputs of the sensors may be received by an analog crosspoint switch, where the signals are monitored, data collection may be adaptively scheduled, front end signal conditioning may occur, and a noise value determined.

Systems and methods for data collection and processing system are disclosed. A multiplexer in a data collector may receive a plurality of sensor channels, wherein each of the plurality of sensor channels is coupled to at least one of a plurality of industrial sensors operationally coupled to an industrial environment. The multiplexor may perform signal conditioning including generating a timing signal from a trigger channel and deriving a relative phase between a trigger channel and an input channel in response to the timing signal. The signal conditioning may include internet protocol (IP) front-end end signal conditioning to improve a signal-to-noise ratio.

The present disclosure describes systems and methods for interpreting data from a plurality of input sensors, wherein each of the plurality of input sensors is operationally coupled to a component of an industrial environment. Methods including operating a self-organizing network on the data from the plurality of input sensors, thereby determining a structure in the data, determining a reduced dimensionality view of the data in response to the determined structure in the data, wherein the reduced dimensionality view includes fewer dimensions than the data from the plurality of input sensors, and providing the reduced dimensionality view to a user interface are disclosed together with systems therefore.