A method for compensating for an error function is disclosed, wherein a field device has a sensor unit. The method includes transferring properties of the sensor unit to the field device. The properties contain information regarding process variables collected by the sensor unit. The method includes transferring the device status of the field device or the sensor unit to a plurality of field devices, and establishing a substitution system, wherein the properties of the sensor unit and the device status are known to the plurality of field devices, and the field devices independently determine which process variable of a sensor unit can substitute a process variable of another sensor unit with a predetermined degree of accuracy. The method also includes transferring the substitute variable to the higher-level unit in the event that at least one predetermined device status of a field device or a sensor unit arises.

A method, an apparatus, and a system for managing alarms is provided. In one aspect, the method includes detecting a fault in one of a plurality of alarm systems, wherein each of the alarm systems is configured to generate at least one alarm associated with an event in the technical installation. The method further includes invoking a proxy of the faulty alarm system upon detecting the fault condition, wherein the proxy, when invoked, is configured to perform the functions of the faulty alarm system. Additionally, the method includes processing, by the proxy, event data associated with the event in the technical installation. Furthermore, the method includes generating at least one alarm by the proxy based on the processing of the event in the technical installation and outputting an alarm condition on a device associated with a user of the technical installation.

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.

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 and methods of data collection and processing including a plurality of variable groups of industrial sensor inputs, each of the plurality of variable groups of industrial sensor inputs operationally coupled to an industrial environment and a multiplexer including a plurality of sensor channels, wherein each of the plurality of sensor channels is communicatively coupled to at least one of the plurality of variable groups of sensor inputs and including an expert system or a graphical user interface (GUI) to define at least one of intelligent data collection bands or diagnostics for the industrial environment.