Abstract: Techniques for automatically or autonomously performing signal processing-based learning in a process plant are disclosed. Generally, said techniques automatically or autonomously perform signal processing on a real-time signal that is generated based on the process plant controlling a process. Typically, the signal corresponds to a parameter value that varies over time, and the signal is processed as it is generated in real-time during on-line plant operations. Results of the signal processing may indicate characteristics of the signal, and one or more analytics functions may determine the sources of the characteristics, which may include a process element or device, a piece of equipment, and/or an asset of the process plant that is upstream, within the process, of the source of the signal. An autonomous signal processor may be integrated with or included in a process control device and/or a big data node of the process plant.

Abstract: A control system, a safety system, etc., within a process plant may each use one or more state machine function blocks that can be easily integrated into a function block diagram programming environment. Such a state machine function block may include one or more inputs, which may cause a state machine implemented by the state machine function block to identify a next state as well as one or more transition actions to perform in accordance with transitioning from a current state to the next state. Configuration data associated with the transition actions may be retrieved from a database based on the current and next states of the state machine and at least one of the inputs. The state machine function block may also include one or more outputs that are generated based on the state transition.

Abstract: Securely transporting data across a unidirectional data diode interconnecting a process plant to a remote system includes provisioning, using join key material, a sending device at the plant end of the diode with a receiving device at the remote end. The join key material is used to securely share network key material that is used to encrypt/decrypt messages or packets that are transported across the diode and whose payload includes plant—updated or re-set generated data. The shared network key material is recurrently using the join key material, and the recurrence interval may be based on a tolerance for lost data or other characteristic of an application, service, or consumer of plant data at the remote system.

Abstract: A platform-to-platform communication architecture for a process control messaging service in a process control system or other industrial setting allows stationary and portable industrial computing units to communicate with each other, in one-to-one and one-to-many communications, and across networks, including isolated networks inside the process control system or industrial setting and external networks. A requesting industrial computing device platform generates a message for a destination, or responding, industrial computing device in the communication protocol of the destination platform, and wraps the message in a communication protocol of the process control messaging service. The communication architecture decodes the wrapped message into the communication protocol of the destination industrial computing device and forwards the decoded wrapped message to the destination.

Abstract: A connector assembly for a portable field device testing includes a two-wire communication line to provide communication between a handheld maintenance tool and a field device, a first two-prong plug to provide power and communication signals to the field device and a shunt plug to provide power to the field device using the two-wire communication line.

Abstract: A handheld field maintenance tool includes a training mode. The handheld field maintenance tool has a process communication module operably coupleable to a field device, a user interface, and a controller coupled to the process communication module and the user interface. The controller is configured to interact with a user through the user interface, and is configured to provide a simulation function where at least one characteristic of the field device, indicated through the user interface, is generated by the controller instead of the field device.

Abstract: A handheld field maintenance tool is provided with a removable memory module. The module is preferably adapted to be removable in the presence of a hazardous environment. Further, the handheld field maintenance tool is adapted, via hardware, software, or both to automatically detect the presence of the removable memory module and to copy, or otherwise install, data from the module to the tool. Data can be placed on a removable memory module in any suitable manner including flashing flash memory within the removable memory module, or, in embodiments where the removable memory module includes both storage and input/output capability, transmitting software and/or data to the storage media through the input/output capability.

Abstract: Securing communications from a process plant to a remote system includes a data diode disposed therebetween that allows data to egress from the plant but prevents ingress of data into the plant and its associated systems. Data is secured across the data diode by securely provisioning a sending device at the plant end of the diode to a receiving device at the remote system end. The sending and receiving devices share secret key material that is recurrently updated. To ensure fidelity of communications across the unidirectional data diode, the sending device recurrently provides context information that is descriptive of data sources of the plant. Additionally, data transmitted from plant data sources to the sending device of the data diode may be secured using a respective security mechanism/technique, and data transmitted from the receiving device of the data diode to the remote system may be secured using a respective security mechanism/technique.

Abstract: A smart process control switch can implement a lockdown routine to lockdown its communication ports exclusively for use by devices having known physical addresses, enabling the smart process control switch to prevent new, potentially hostile, devices from communicating with other devices to which the smart process control switch is connected. Further, the smart process control switch can implement an address mapping routine to identify “known pairs” of physical and network addresses for each device communicating via a port of the smart process control switch. Thus, even if a new hostile device is able to spoof a known physical address in an attempt to bypass locked ports, the smart process control switch can detect the hostile device by checking the network address of the hostile device against the expected network address for the “known pair.

Abstract: A performance monitoring system enables users of computing devices to easily view performance indicators for any of a number of different process control sites. A computing device displays a graphical user interface (GUI) that enables a user to identity one or more process control sites he or she is interested in monitoring. The computing device communicates with one or more servers associated with the process control site(s) to receive and display a set of performance indicators tailored to the selected process control sites and to the user's interests. In some instances, the user selects multiple sites and the system acts as an aggregator that selects, prioritizes, and/or categorizes (based on any of a number of different factors) performance indicators to be provided to the user for the multiple sites.

Abstract: A smart process control switch can implement a lockdown routine to lockdown its communication ports exclusively for use by devices having known physical addresses, enabling the smart process control switch to prevent new, potentially hostile, devices from communicating with other devices to which the smart process control switch is connected. Further, the smart process control switch can implement an address mapping routine to identify “known pairs” of physical and network addresses for each device communicating via a port of the smart process control switch. Thus, even if a new hostile device is able to spoof a known physical address in an attempt to bypass locked ports, the smart process control switch can detect the hostile device by checking the network address of the hostile device against the expected network address for the “known pair.

Abstract: A device supporting big data in a process plant includes an interface to a communications network, a cache configured to store data observed by the device, and a multi-processing element processor to cause the data to be cached and transmitted (e.g., streamed) for historization at a unitary, logical centralized data storage area. The data storage area stores multiple types of process control or plant data using a common format. The device time-stamps the cached data, and, in some cases, all data that is generated or created by or received at the device may be cached and/or streamed. The device may be a field device, a controller, an input/output device, a network management device, a user interface device, or a historian device, and the device may be a node of a network supporting big data in the process plant. Multiple devices in the network may support layered or leveled caching of data.

Abstract: A system and method for configuring wireless process mesh networks is provided. The system includes a processor, user interface module, memory, and an analysis module. The user interface module is configured to generate a user interface to receive user-provided mesh network design parameters. Memory is coupled to the processor and stores information indicative of a plurality of wireless process mesh networks and associated wireless field devices. The analysis module is configured to analyze the information indicative of the plurality of wireless process mesh networks and generate an alternate wireless mesh network configuration based on the user-provided mesh network design parameters.

Abstract: A process control monitoring system for a process control plant uses graphic trend symbols to assist in detecting and monitoring trends of process variables within the process control plant. A graphic display application within the process control monitoring system may implement and display each graphic trend symbol to graphically indicate or encapsulate current trend and value information of a process variable within the process control plant. The graphic display application may display the graphic trend symbol in a spatially realistic location within a graphical representation of the process control plant while maintaining the hierarchical structure or each hierarchical level of the process plant. The graphic display application may also include a zoom feature that enables a user to quickly drill down through tend data to obtain more information and to support problem identification and diagnosis tasks.

Abstract: Example methods and apparatus to manage process control search results are disclosed. A disclosed example method includes receiving a search parameter from a user via an application to view search results associated with the search parameter, determining a display context based on the application, searching a search index for control parameters that match the search parameter to form a set of matched control parameters, wherein the search index includes control parameters that correspond to runtime data generated by a controller within a process control system, and rendering the set of matched control parameters for display via the application as the search results based on the determined display context.

Abstract: 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.

Abstract: The described methods and systems give users situational awareness regarding control loops in a process control system. The user can utilize the loop interface described herein to quickly understand how a given element (e.g., a device or function block) relates to other elements of the control loop. This enables the user to appreciate how modifying a parameter or device, for example, may impact control of the process. The user need not be intimately familiar with the logic associated with a control loop to understand the status of the control loop and its constituent elements. Further, in an embodiment, the user can easily correct certain statuses (e.g., unusual conditions) that arise with respect to the control loop.

Abstract: A method executed in a process control environment automatically generates, displays, and tracks check lists according to assigned work items. The work items include information such as required equipment, required safety equipment, required tools, target function, and target equipment. The target function and/or target equipment information can be associated, together or separately, with the required equipment, required safety equipment, and required tools if the required equipment and tools are not specifically included in the work items. The check lists indicate the required equipment, tools, devices, parts, maintenance materials, manuals, and/or documents, that are necessary to perform the target function on the target equipment. A check list is displayed on a user interface device, which tracks, internally or in cooperation with a supervisor engine, whether a user of the user interface device has checked off the items on the check list.

Abstract: A process modeling technique uses a single statistical model, such as a PLS, PRC, MLR, etc. model, developed from historical data for a typical process and uses this model to perform quality prediction or fault detection for various different process states of a process. The modeling technique determines means (and possibly standard deviations) of process parameters for each of a set of product grades, throughputs, etc., compares on-line process parameter measurements to these means and uses these comparisons in a single process model to perform quality prediction or fault detection across the various states of the process. Because only the means and standard deviations of the process parameters of the process model are updated, a single process model can be used to perform quality prediction or fault detection while the process is operating in any of the defined process stages or states.

Abstract: A process control management method in a computer system for configuring and supervising a process plant includes providing an interactive user interface to manage a plurality of objects in the process plant, where each of the plurality of objects corresponds to a physical or logical entity in the process plant, including generating a navigation pane to display a set of selectable items, each in the set of selectable items corresponding to a respective one of the plurality of objects, and generating a command pane to display a set of selectable controls, each in the set of selectable controls corresponding to a task to be performed on at least one of the plurality of objects in the process plant; receiving a selection of one of an item in the set of selectable items via the navigation panel and a control in the set of selectable controls via the command panel; determining an operational context based on the received selection, wherein the operational context corresponds to one of a range of actions applicable