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.

Generating checklists in a process control environment

A monitoring apparatus, systems and methods for data collection in an industrial environment are disclosed. A 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, and a data analysis circuit structured to analyze the collected data and determine an aggregate rate of data being collected from the plurality of input channels, wherein if the aggregate rate exceeds a throughput parameter of the network infrastructure, then the data analysis circuit alters the data collection to reduce the amount of data collected.

Methods and systems for detection in an industrial internet of things data collection environment with large data sets

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 a server providing display information to a first user interface (UI) device, storing state information, and providing display information to a second user interface device according to the stored state data. A processor is coupled to a unitary, logical data storage area and to a memory device that stores machine-readable instructions executable by the processor. The instructions cause the processor to retrieve process data for display on a first UI device, transmit to the first UI device the retrieved process data, store state information associated with the display of the process data on the first UI device, retrieve process data for display on a second UI device according to the stored state information, and transmit to the second UI device the process data retrieved according to the stored state information.

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

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.

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

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

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