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.

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.

The present disclosure describes a system for data collection in an industrial environment. The system can include an industrial system comprising a plurality of components each operatively coupled to a sensor, a sensor communication circuit to interpret the sensor data values in response to a sensed parameter group, a pattern recognition circuit to determine a recognized pattern value in response to a least a portion of the sensor data values, and a sensor learning circuit to update the sensed parameter group in response to the recognized pattern value, wherein the sensor communication circuit also adjusts the interpreting of the plurality of sensor data values in response to the updated sensed parameter group.

A downhole closed loop method for controlling a curvature of a subterranean wellbore while drilling includes controlling a direction of drilling such that the drilling attitude is substantially equal to a setpoint attitude. A setpoint rate of penetration is processed in combination with a setpoint dogleg severity to compute a setpoint attitude increment. The setpoint attitude may be adjusted by the setpoint attitude increment. The setpoint attitude may be incremented at some interval to control the curvature of the wellbore while drilling.

An apparatus associated with a drilling rig includes a surface steerable system for controlling drilling direction of a bottom hole assembly (BHA). The surface steerable system is configured to receive drilling rig parameters from the BHA. A database stores historical data related to the drilling rig. The historical data relates to previously tracked operations of the drilling rig. The surface steerable system is further configured to perform a plurality of tracking functions with respect to the drilling rig parameters. The plurality of tracking functions cause the surface steerable system to track drilling rig parameters from sensors associated with the drilling rig, access the database of the historical data relating to previously tracked operations of the drilling rig and control operating functions of the drilling rig responsive to at least one of the drilling rig parameters from the sensors associated with the drilling rig and the historical data from the database.

A method of producing a component part (202, 204) of an aircraft airframe (200), the method comprising: providing a first digital model, the first digital model being a digital model of the component part (202, 204); producing an initial physical part using the first digital model; measuring a surface of the initial physical part; creating a second digital model using the measurements of the surface of the initial physical part, the second digital model being a digital model of the initial physical part; specifying one or more fastener holes (606) in the second digital model; and drilling one or more fastener holes (606) in the initial physical part using the second digital model with the one or more fastener holes specified therein, thereby producing the component part (202, 204) of an aircraft airframe (200).

A method of producing a shim for use in an aircraft airframe (200) comprising: providing a plurality of component parts (202, 204) of the aircraft airframe (200); measuring a surface of each of the component parts (202, 204) and creating a digital models of the component part (202, 204) therefrom; digitally assembling together the digital models of the component parts (202, 204) thereby to produce a digital model (600) of at least part of the aircraft airframe (200); using that digital model (600), creating a digital model of a shim (604), the digital model of the shim (604) filling a gap between at least two digital models of component parts (202, 204) in the digital model (600) of at least part of the aircraft airframe (200); and producing a physical shim using the digital model of the shim (604).