A system generally includes a sensor detecting a condition of an industrial machine, the sensor producing a signal that varies over time and substantially corresponds with the condition; an analog to digital converter that receives the signal and samples the signal at a streaming sample rate that is at least twice a dominant frequency of the signal, the sampled signal being output from the analog to digital converter as a sequence of data values; and at least one digital signal router that receives the sequence of data value and a sub-sampling rate, wherein the sub-sampling rate is lower than the streaming sample rate, and produces at least one sub-sampled output sequence of data comprising select samples from the sequence of samples based on at least one of the sub-sampling rate and a ratio of the streaming sample rate and the sub-sampling rate.

Methods and an expert system for processing a plurality of inputs collected from sensors in an industrial environment are disclosed. A modular neural network, where the expert system uses one type of neural network for recognizing a pattern relating to at least one of: the sensors, components of the industrial environment and a different neural network for self-organizing a data collection activity in the industrial environment is disclosed. A data communication network configured to communicate at least a portion of the plurality of inputs collected from the sensors to storage device is also disclosed.

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.

Devices, systems and methods for data acquisition in a food processing environment are disclosed. A device may include an analog switch, a data acquisition circuit to request and receive values corresponding to input sensors connected to the analog switch and associated with a food processing system and a data pool. A device may further include a data storage component to store specifications and anticipated state information for the input sensors, and a response circuit to provide direction regarding a manner in which detection values are requested, wherein the analog switch is adapted to selectively couple, in response to the anticipated state information, at least one of the plurality of inputs to at least one of the plurality of outputs.

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.

A system for data collection, the system according to one disclosed non-limiting embodiment of the present disclosure may include an analog switch, a data acquisition circuit structured to interpret a plurality of detection values received from a detection package comprising a plurality of input sensors, each of the plurality of input sensors may be operatively coupled to an equipment component and at least one of a plurality of inputs of the analog switch. The system may further include a data analysis circuit to predict a future state of at least one equipment component based upon the plurality of detection values and data received from a data collection band circuit, wherein the analog switch is adapted to selectively couple at least one of a plurality of inputs to at least one of a plurality of outputs.

Methods and systems for data collection with haptic feedback and control of data storage and bandwidth are disclosed. A system can include a data collector to collect data based on a selected data collection routine, a data storage structured to store collector routes and collected data, a data acquisition circuit to interpret the collected data and determine an occurrence of an anomalous condition, a data analysis circuit to evaluate a data storage constraint and adjust a volume of collected data stored in response to the evaluation, wherein the data analysis circuit determines an aggregate rate of data being collected, wherein if the aggregate rate exceeds a current bandwidth allocation rate, then the data analysis circuit requests an increase to the current bandwidth allocation rate, and a haptic user device for generating a haptic stimulation in response to receipt of a signal indicating an occurrence of a specified anomalous condition.

Methods and systems for data collection in downstream oil and gas environment with haptic feedback and continuously monitored alarm are disclosed. A monitoring system for data collection can include a data acquisition circuit to interpret a plurality of detection values, a data analysis circuit to analyze the detection values to determine at least one of a sensor state, a process state, or a component state and determine an alarm value in response to at least one of the detection values, an analysis response circuit to perform an action in response to the at least one of the sensor state, the process state, or the component state and continuously monitor the alarm value, and a haptic user device to generate a haptic stimulation.

Methods and systems for data collection in production lines with future status prediction and load balancing are disclosed. A monitoring system can include a data acquisition circuit structured to interpret a plurality of detection values; a data analysis circuit structured to analyze a subset of the plurality of detection values to determine a future status of a component or the production process of the production line, wherein the future status includes at least one of: a future state of the at least one of the plurality of components, a future condition of the at least one of the plurality of components, or a future stage of the production process, and an analysis response circuit structured to perform an action in response to the determination of the future status, wherein the action includes rebalancing process loads.

Methods and systems for data collection in chemical or pharmaceutical processes with future status prediction and load balancing are disclosed. A monitoring system for data collection can include a data acquisition circuit to interpret a plurality of detection values, each of the plurality of detection values corresponding to input received from an input sensor operatively coupled to a component or a subprocess of the chemical or pharmaceutical process, a data analysis circuit to analyze a subset of the plurality of detection values to determine a future status of a component or subprocess process, wherein the future status includes at least one of: a future state, a future condition, or a future stage, and an analysis response circuit to perform an action in response to the determination of the future status, wherein the action includes rebalancing a process load.