A method includes establishing, using a connection policy at a first device, a security association with a second device of an industrial process control and automation system. The method also includes, once the security association is established, activating a process data policy at the first device. The security association is established during first and second types of negotiations. The process data policy is activated during the second type of negotiation without the first type of negotiation. The second type of negotiation is faster than the first type of negotiation. The connection policy defines a communication channel between the devices using a non-process communication port of the first device. The process data policy defines a communication channel between the devices for real-time industrial process data. The first type of negotiation could include an IKE main mode negotiation, and the second type of negotiation could include an IKE quick mode negotiation.

The invention refers to an edge computing device 120 for processing data 112 acquired with respect to a production process of an industrial plant comprising a plant control system 110, wherein the control system comprises a server 111. The device comprises a first unit 125 configured to be communicatively coupled to the server for receiving the data from the system. A second unit 121 is configured to provide a container runtime environment 122 configured to run a container on the second unit. A process container 123 is configured to run on the environment, wherein the process container comprises a program configured to process data acquired with respect to a production process of the industrial plant when running inside the process container. The first unit is communicatively coupled to the second unit for providing the received data to the environment, wherein the program is configured to process the provided data.

A data pipeline is used as a fundamental processing element for implementing techniques that automatically or autonomously perform signal processing-based learning in a process plant or monitoring system. Each data pipeline includes a set of communicatively interconnected data processing blocks that perform processing on one or more sources of data in a predetermined order to, for example, clean the data, filter the data, select data for further processing, perform supervised or unsupervised learning on the data, etc. The individual processing blocks or modules within a data pipeline may be stored and executed at different devices in a plant network to perform distributed data processing. Moreover, each data pipeline can be integrated into one or more higher level analytic modules that perform higher level analytics, such as quality prediction, fault detection, etc. on the processed data. The use of data pipelines within a plant network enables data collected within a plant control or monitoring system to be processed automatically and used in various higher level analytic modules within the plant during ongoing operation of the plant.

A system for securely communicating information in a building management system (BMS) includes a plurality of HVAC devices communicably coupled via a network each HVAC device storing a copy of an HVAC data chain that includes a plurality of blocks linked sequentially. The plurality of HVAC devices includes a first HVAC device including a processing circuit configured to generate a first block comprising device data and send the block to at least a portion of the plurality of HVAC devices. The processing circuit is configured to receive a second block from one of the plurality of HVAC devices and solve the second block. The processing circuit is further configured to add the solved block to the HVAC data chain of the first HVAC device as the newest block and send the solved block to each of the plurality of HVAC devices.

An industrial control system may receive data associated with at least one component within an industrial automation system. The industrial control system may then determine whether the data is associated with at least one of a plurality of data tags, such that the at least one of the plurality of data tags describes at least one characteristic of the data. The industrial control system may then broadcast the data and the at least one of the plurality of data tags in a data feed channel when the data is associated with the at least one of the plurality of data tags.

A system and method receive raw data signals from a variety of edge devices. Observations are processed via a rule engine which may be preconfigured via a rule generator to implement a series of actions on remote or locally controlled machines. Rules are generated via a configurable user interface and may also be dynamically generated based on data received from the edge devices.

System configuration management using encapsulation and discovery is provided. The configuration management may include requesting, by a first electronic control unit comprising a processor, feature information associated with a second electronic control unit. The feature information may include data related to a set of features implemented by the second electronic control unit. The configuration management may also include loading, by the first electronic control unit, an internal control for a first feature of the set of features based on a determination that the first feature is not loaded on the first electronic control unit.

A method for processing operating data (e.g., position, setpoint, and pressure) for a valve assembly. The method is configured to associate characteristics of operation for the valve assembly with a root cause and/or a contributing factor. In one embodiment, the method can assign a first amplitude with a value that quantifies movement or jump of the valve stem that results from stick-slip on the valve assembly. The method can also assign a second amplitude with a value that quantifies a change in the data for the setpoint. The method can further ascertain the relationship or position of the first amplitude relative to the second amplitude, or vice versa. The method can use the relationship between the first amplitude and the second amplitude to indicate the root cause of the operation of the valve assembly.

An industrial control system may receive data associated with at least one component within an industrial automation system. The industrial control system may then determine whether the data is associated with at least one of a plurality of data tags, such that the at least one of the plurality of data tags describes at least one characteristic of the data. The industrial control system may then broadcast the data and the at least one of the plurality of data tags in a data feed channel when the data is associated with the at least one of the plurality of data tags.

A method can include receiving scheduled tasks associated with subsystems of a wellsite system wherein the scheduled tasks are associated with achievement of desired states of the wellsite system; transmitting task information for at least a portion of the scheduled tasks to computing devices associated with the subsystems; receiving state information via the wellsite system; assessing the state information with respect to one or more of the desired states; based at least in part on the assessing, scheduling a task; and transmitting task information for the task to one or more of the computing devices associated with the subsystems.