An integrated diagnostics system utilizes online and offline diagnostics techniques to evaluate control valves found in process plant environments. The integrated diagnostics system improves on existing diagnostic systems, which typically rely exclusively on online diagnostics or offline diagnostics.

Systems for data collection and self-organizing storage including enhanced resolution are disclosed. An example system includes an industrial system with a plurality of components, a subset of which is operatively coupled to a plurality of sensors which provide sensor values. An example system may further include self-organizing storage for at least a portion of the plurality of sensor values and a means for enhancing resolution of the sensor values in response to an enhanced data request value or an alert value. Enhanced resolution may include an enhanced spatial resolution, an enhanced time domain resolution, a greater number of the plurality of sensor values than a standard resolution of the plurality of sensor values, or a greater precision of at least one of the plurality of sensor values than the standard resolution of the plurality of sensor values.

Systems and methods for implementing a monitoring system for data collection in an industrial environment are disclosed. A method may include communicatively coupling a plurality of input channels to input sensors and interpreting detection values corresponding to the input channels, wherein the sensor data is acquired from a first group of input channels. A method may further include storing sensor specifications for sensors that correspond to the input channels, evaluating the sensor data with respect to stored anticipated state information including an alarm threshold level, setting an alarm state when the threshold level is exceeded for a first input channel, and changing the input channels being collected to an alternative group of input channels.

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.

The present disclosure describes systems for data collection in an industrial environment having a self-sufficient data acquisition box for capturing and analyzing data in an industrial process. A system can include a data circuit for analyzing a plurality of sensor inputs, a network control circuit for sending and receiving information related to the plurality of sensor inputs to an external system, and a storage device. The data circuit may continuously monitor sensor inputs and store them in an embedded data cube, and the self-sufficient data acquisition box dynamically determines what information to send based on analyzing historical data.

The present disclosure describes systems for data collection in an industrial environment having a self-sufficient data acquisition box for capturing and analyzing data in an industrial process. A system can include a data circuit for analyzing a plurality of sensor inputs, and a network control circuit for sending and receiving information related to the sensor inputs to an external system. The system may provide sensor data to a plurality of other similarly configured systems, and the system dynamically reconfigures where it sends data and what quantity of data it sends based on an availability of the other similarly configured systems.

The present disclosure describes monitoring systems for data collection in an industrial environment. A system can include a data collection circuit to collect output data from a plurality of sensors such as vibration sensors, ambient environment condition sensors and local sensors for collecting non-vibration data proximal to a machine in the environment. The sensors may be communicatively coupled to a data collection circuit, and a machine learning data analysis circuit may receive the output data and learn received data patterns predictive of at least one of an outcome and a state. The monitoring system may determine if the output data matches a learned received output data pattern, wherein the data collection circuit collects data points from sensors based on the learned received output data patterns, the outcome, or the state.

A system is provided to conduct communication in a facility with equipment in hazardous and safe areas. The system includes at least one field device in a hazardous area of the facility; one or more controllers, located in a safe area of the facility, for managing the at least one field device; and a field barrier, between the safe and hazardous areas, to limit at least electrical energy, which is supplied to the at least one device, at or below an electrical energy threshold in the hazardous area. The system also includes a bus system to supply electrical energy across the field barrier to the at least one field device using electrical wiring and to enable communication between the at least one field device and the one or more controllers across the field barrier using one or more fiber optic cables.

A safety input system for monitoring a sensor can include a voltage sensing circuit configured to produce a first detection output upon sensing a signal exceeding a voltage threshold, and a current sensing circuit configured to produce a second detection output upon sensing the signal exceeding a current threshold and/or voltage threshold. The signal can come from a sensor in an industrial automation system, such as a light curtain. The first detection output can be provided to a first processor, and the second detection output can be provided to a second processor, so that two processors can independently monitor the sensor. The signal can be monitored by separate input systems. Periodically the first processor can inject a first test signal into the input system for the second processor to detect, and the second processor can inject a second test signal into the input system for the first processor to detect.

A method for configuring a target field device in an industrial plant by way of at least one mobile device including receiving configuration data characterizing the behavior of a source field device in the industrial plant from the source field device through the mobile device by way of a radio interface of the mobile device, which is also supported by the source field device, receiving at least one identification feature characterizing a target field device and/or function of the target field device in the industrial plant by a mobile device by way of a radio interface of the mobile device, which is also supported by the target field device checking by way of the mobile device, using the identification feature, whether the configuration data are suitable and/or intended for the configuration of the target field device, and in response to the configuration data being suitable and/or provided for the configuration of the target field device, transmitting at least a subset of the configuration data from the mobile device to the target field device by way of a radio interface of the mobile device which is also supported by the target field device.