Fisher-rosemount Systems, Inc

Bisher-rosemount Systems, Inc

Daniel Dean Christensen

Mark J Nixon

Ken J Beoughter

Terrence L Blevins

Paul Richard Muston

James Henry Moore, Jr

Kenneth D Krivoshein

Wilhelm K Wojsznis

Deji Chen

Steven Lee Dienstbier

Gary Keith Law

Larry Oscar Jundt

Kent Allan Burr

Ram Ramachandran

J Michael Lucas

Alper Turhan Enver

John Michael Lucas

Ebtesam S Tanyous

Michael L Marshall

Rusty Shepard

Steven D Bonwell

User interface sessions in a user interface device are initiated or resumed according to stored state data. A session request is received from a first client device. A user profile associated with the session request is identified and a determination made as to whether a previous session exists. If no previous session exists, a new session is instantiated using a default session configuration. If a previous session exists, a new session is instantiated according to the previous session.

Method for initiating or resuming a mobile control session in a process plant

A big data network or system for a process control system or plant includes a big data apparatus including a data storage area configured to store, using a common data schema, multiple types of process data and/or plant data (such as configuration and real-time data) that is used in, generated by or received by the process control system, and one or more data receiver computing devices to receive the data from multiple nodes or devices. The data may be cached and time-stamped at the nodes and streamed to the big data apparatus for storage. The process control system big data system provides services and/or data analyses to automatically or manually discover prescriptive and/or predictive knowledge, and to determine, based on the discovered knowledge, changes and/or additions to the process control system and to the set of services and/or analyses to optimize the process control system or plant.

Big data in process control systems

Methods and apparatus for operating a process plant include multiple user interface devices operable to determine the location of the device in the process plant and to display data related to proximate devices. A processor in a mobile user interface device transmits a first request for data and receives the requested data in response to the request. The processor causes a display to display the received data. The processor receives an indication that the mobile user interface device is in proximity to an external device the processors transmits a second request for data according to the received indication. The processor then receives data in response to the second request.

Method and apparatus for controlling a process plant with location aware mobile devices

A supervisor engine cooperates with an expert system in a process control environment to automatically generate, assign, track, and manage work items. The supervisor engine creates work items according to data received from the expert system, selects available personnel to execute work items, sends work items to the selected personnel, schedules the execution of the work items, and creates and stores permissions that allow the assigned personnel to complete a target function of the work item at an assigned time. The supervisor engine determines required skill sets, roles, certifications, and/or credentials associated with a work item, and selects personnel to perform the work item according to a personnel profile specifying a skill set, a role, certifications, and/or credentials associated with the personnel. Alternatively or additionally, the supervisor engine assigns a work item according to the presence of personnel at or near the target equipment.

Supervisor engine for process control

Techniques for streaming big data in a process plant are disclosed. Generally, these techniques facilitate storage or communication of process control data, including alarms, parameters, events, and the like, in near real-time. Receivers of big data, such as big data historians or devices requesting specific data, are configured via an initial set of metadata, and thereafter receive updated metadata upon requesting it from the transmitting device, such as when the receiving device encounters an identifier in the data, which identifier was not defined in the metadata previously received.

Streaming data for analytics in process control systems

Method and apparatus for controlling a process plant with location aware mobile control devices

An automated method for managing a work flow in a process plant includes determining the steps of performing a work item and generating associated displays for an operator or other personnel to perform the steps of the work item. A work item is created specifying a task to be performed in the process plant and determining from the specified task a set of procedures for execution of the work item. For each procedure, an associated display is generated and the associated displays are displayed on a mobile user interface device sequentially in an order in which the set of procedures are to be performed.

Method and apparatus for managing a work flow in a process plant

Methods and systems for operating a process plant include multiple user interface (UI) devices, each accessing a plurality of applications on a server, and operable to store device state on the server and receive device state from the server. The server is coupled to a unitary, logical data storage area and provides functions related to the process data stored in the data storage areas via one or more user interfaces. A first UI device coupled to the server accesses the process data and maintains on the server state information indicative of a state of the user interface executing on the first UI device. A second UI device coupled to the server accesses the process data and the state information to execute a user interface on the second UI device in accordance with the state information indicative of the state of the user interface executing on the first UI device.

Method and apparatus for seamless state transfer between user interface devices in a mobile control room

User interface sessions in a user interface device are initiated or resumed according to a device type and a target session. A session request is received from a first client device. A device type associated with the session request is determined, and a graphical user interface configuration is identified according to the device type. A target session associated with the session request is identified and a new session is configured for the first client device according to the identified graphical user interface configuration and the identified target session. Data associated with the new session are transmitted to the first client device.

Methods, systems, and apparatus for determining with dead reckoning the position, relative to an anchor point, of a mobile device. Data indicating an anchor position within a process plant is acquired and an anchor position is determined according to the acquired data. Data indicative of acceleration and orientation of the mobile device are received from circuitry of the mobile device. A position of the mobile device is determined according to the received data and the anchor position.

Method and apparatus for determining the position of a mobile control device in a process plant

Techniques for determining device-specific information such as commissioning data, location information, images, and other data descriptive of a process device installed in a plant include obtaining the device-specific information at a local device during the process device's commissioning. Based on this information, the local device determines the relative order of the process device within a process flow, and may determine a process element alignment map indicating the activation order of a plurality of process elements within the flow. A user may modify the map at the local device. The map is transmitted to a process control big data network for use in discovery and learning analytics. The device-specific information and/or the map may be utilized to generate, at the local device, representations/views of the process flow, which may include real-time operational data. A user may zoom in or out on these views for more or less detail.

Commissioning field devices in a process control system supported by big data

A computer-readable storage medium for controlling a process plant includes instructions operable to determine the location of a device in the process plant and to display data related to proximate devices. The instructions cause a processor to transmit to a server a first request for first data from a data storage area and to receive from the server, in response to the first request, first data from the storage area. The instructions cause the processor to cause the display to display the first data received from the server and to receive an indication that the mobile user interface device is in proximity to an external device. The instructions cause the processor to transmit to the server a second request for second data according to the received indication and to receive second data from the server.

A data modeling studio provides a structured environment for graphically creating and executing models which may be configured for diagnosis, prognosis, analysis, identifying relationships, etc., within a process plant. The data modeling studio includes a configuration engine for generating user interface elements to facilitate graphical construction of a model and a runtime engine for executing data models in, for example, an offline or an on-line environment. The configuration engine includes an interface routine that generates user interface elements, a plurality of templates stored in memory that serve as the building blocks of the model and a model compiler that converts the graphical model into a data format executable by the run-time engine. The run time engine executes the model to produce the desired output and may include a retrieval routine for retrieving data corresponding to the templates from memory and a modeling routine for executing the executable model.

Data modeling studio

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.

Collecting and delivering data to a big data machine in a process control system

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.

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Austin, TX, United States of America

Daniel Dean Christensen