Abstract: A distributed control system (DCS) of an industrial process plant includes a data center storing a plant information model that includes a description of physical components, the control framework, and the control network of the plant using a modeling language. A set of exposed APIs provides DCS applications access to the model, and to an optional generic framework of the data center which stores basic structures and functions from which the DCS may automatically generate other structures and functions to populate the model and to automatically create various applications and routines utilized during run-time operations of the DCS and plant. Upon initialization, the DCS may automatically sense the I/O types of its interface ports, detect communicatively connected physical components within the plant, and automatically populate the plant information model accordingly. The DCS may optionally automatically generate related control routines and/or I/O data delivery mechanisms, HMI routines, and the like.

Abstract: To provide enhanced search capabilities in a process control system, a knowledge repository is generated that includes both contextual data and time series data. The contextual data organizes process plant-related data according to semantic relations between the process plant-related data and the process plant entities. When a user submits a process plant search query related to process plant entities within a process plant, search results are obtained by identifying a data set from the knowledge repository. The contextual data categorizes process parameters so that users can search for a particular process parameter category. Users can tag previous searches to execute them once again at a later time.

Abstract: A distributed control system (DCS) of an industrial process plant includes a data center storing a plant information model that includes a description of physical components, the control framework, and the control network of the plant using a modeling language. A set of exposed APIs provides DCS applications access to the model, and to an optional generic framework of the data center which stores basic structures and functions from which the DCS may automatically generate other structures and functions to populate the model and to automatically create various applications and routines utilized during run-time operations of the DCS and plant. Upon initialization, the DCS may automatically sense the I/O types of its interface ports, detect communicatively connected physical components within the plant, and automatically populate the plant information model accordingly. The DCS may optionally automatically generate related control routines and/or I/O data delivery mechanisms, HMI routines, and the like.

Abstract: A distributed control system (DCS) of an industrial process plant includes a data center storing a plant information model that includes a description of physical components, the control framework, and the control network of the plant using a modeling language. A set of exposed APIs provides DCS applications access to the model, and to an optional generic framework of the data center which stores basic structures and functions from which the DCS may automatically generate other structures and functions to populate the model and to automatically create various applications and routines utilized during run-time operations of the DCS and plant. Upon initialization, the DCS may automatically sense the I/O types of its interface ports, detect communicatively connected physical components within the plant, and automatically populate the plant information model accordingly. The DCS may optionally automatically generate related control routines and/or I/O data delivery mechanisms, HMI routines, and the like.

Abstract: An optical device (1) for a motor vehicle, for projecting a graphic element into a region in front of the optical device. The device includes a laser light source (2), an infrared light source (3), a light guiding device (4), an infrared detector (5), a time-of-flight sensor device (6), and a control device (7), wherein the light guiding device is configured to produce a light distribution with laser light from the laser light source and to form an infrared light beam from infrared light from the infrared light source, wherein the infrared detector is configured to detect reflected infrared light from a measurement object and send a first sensor signal, wherein the sensor device is configured to detect a measurement object and send a second sensor signal, wherein the control device is configured to change the light distribution depending on the first sensor signal and the second sensor signal.

Abstract: To provide search capabilities in a process control system, a contextual knowledge repository is generated that organizes process plant-related data according to semantic relations between the process plant-related data and the process plant entities. When a user submits a process plant search query related to process plant entities within a process plant, search results are obtained by identifying a data set from the contextual knowledge repository which is responsive to the process plant search query. The search results are then presented on a user interface device based on the identified data set. To allow for searches to be performed by user interface devices external to the process plant, a data diode is disposed between a field-facing component and an edge-facing component of the process plant so that data flows from the field-facing component to the edge-facing component without flowing from the edge-facing component to the field-facing component.

Abstract: A process plant and industrial control system architecture includes a generalized compute fabric that is agnostic or indifferent to the physical location at which the compute fabric is implemented, includes one or more physical control or field devices located at one or more specific sites at which a product or process is being manufactured and further includes a transport network that securely provides communications between the compute fabric and the pool of physical devices. A configuration system operates within the compute fabric to enable a user to easily make configuration changes to the software executing in the compute fabric by accessing and downloading new components for execution in the compute fabric from a centralized registry. The configuration system may provide feedback regarding the operation of the new component to a component developer to enable the developer to test and alter the component.

Abstract: A process plant and industrial control system architecture includes a generalized compute fabric that is agnostic or indifferent to the physical location at which the compute fabric is implemented, includes one or more physical control or field devices located at one or more specific sites at which a product or process is being manufactured and further includes a transport network that securely provides communications between the compute fabric and the pool of physical devices. The compute fabric is implemented in a spoke and hub configuration in which the compute fabric includes computing infrastructure organized into one or more hubs, with each hub disposed in a particular geographical region or area. Each hub of the compute fabric may include communication connections in the form of spokes to each of a plurality of geographical locations or areas, such as plants, and may store and process the data from each of the associated spokes in the hub.

Abstract: A process plant and industrial control system architecture includes a generalized compute fabric that is agnostic or indifferent to the physical location at which the compute fabric is implemented, includes one or more physical control or field devices located at one or more specific sites at which a product or process is being manufactured and further includes a transport network that securely provides communications between the compute fabric and the pool of physical devices. The compute fabric performs various control, monitoring, diagnostics, simulation, and configuration activities with respect to a plurality of devices at the one or more specific sites.

Abstract: In the method for optical monitoring and/or determination of properties on samples, monochromatic electromagnetic radiation with a predetermined wavelength is sequentially directed from several radiation sources onto a sample influenced by an electronic evaluation unit. The respective intensity specific to the wavelength of the electromagnetic radiation scattered and/or reflected by the sample is detected by at least one detector and fed to the electronic evaluation unit for spectrally resolved evaluation in order to use it to monitor and/or determine properties of the respective sample.

Abstract: A process plant and industrial control system architecture includes a generalized compute fabric that is agnostic or indifferent to the physical location at which the compute fabric is implemented, includes one or more physical control or field devices located at one or more specific sites at which a product or process is being manufactured and further includes a transport network that securely provides communications between the compute fabric and the pool of physical devices. The compute fabric is implemented in a spoke and hub configuration in which the compute fabric includes computing infrastructure organized into one or more hubs, with each hub disposed in a particular geographical region or area. Each hub of the compute fabric may include communication connections in the form of spokes to each of a plurality of geographical locations or areas, such as plants, and may store and process the data from each of the associated spokes in the hub.

Abstract: A process plant and industrial control system architecture includes a generalized compute fabric that is agnostic or indifferent to the physical location at which the compute fabric is implemented, includes one or more physical control or field devices located at one or more specific sites at which a product or process is being manufactured and further includes a transport network that securely provides communications between the compute fabric and the pool of physical devices. The compute fabric performs various control, monitoring, diagnostics, simulation, and configuration activities with respect to a plurality of devices at the one or more specific sites.

Abstract: A process plant and industrial control system architecture includes a generalized compute fabric that is agnostic or indifferent to the physical location at which the compute fabric is implemented, includes one or more physical control or field devices located at one or more specific sites at which a product or process is being manufactured and further includes a transport network that securely provides communications between the compute fabric and the pool of physical devices. A configuration system operates within the compute fabric to enable a user to easily make configuration changes to the software executing in the compute fabric by accessing and downloading new components for execution in the compute fabric from a centralized registry. The configuration system may provide feedback regarding the operation of the new component to a component developer to enable the developer to test and alter the component.

Abstract: A distributed control system (DCS) of an industrial process plant includes a data center storing a plant information model that includes a description of physical components, the control framework, and the control network of the plant using a modeling language. A set of exposed APIs provides DCS applications access to the model, and to an optional generic framework of the data center which stores basic structures and functions from which the DCS may automatically generate other structures and functions to populate the model and to automatically create various applications and routines utilized during run-time operations of the DCS and plant. Upon initialization, the DCS may automatically sense the I/O types of its interface ports, detect communicatively connected physical components within the plant, and automatically populate the plant information model accordingly. The DCS may optionally automatically generate related control routines and/or I/O data delivery mechanisms, HMI routines, and the like.

Abstract: A distributed control system (DCS) of an industrial process plant includes a data center storing a plant information model that includes a description of physical components, the control framework, and the control network of the plant using a modeling language. A set of exposed APIs provides DCS applications access to the model, and to an optional generic framework of the data center which stores basic structures and functions from which the DCS may automatically generate other structures and functions to populate the model and to automatically create various applications and routines utilized during run-time operations of the DCS and plant. Upon initialization, the DCS may automatically sense the I/O types of its interface ports, detect communicatively connected physical components within the plant, and automatically populate the plant information model accordingly. The DCS may optionally automatically generate related control routines and/or I/O data delivery mechanisms, HMI routines, and the like.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed for an application marketplace for process control systems. An example apparatus includes at least one memory, machine readable instructions, and processor circuitry to at least one of instantiate or execute the machine readable instructions to detect at least one of a configuration or a state of operation of a process control system based on telemetry data associated with the process control system, execute a machine learning model to generate an output based on the at least one of the configuration or the state of operation, the output to be representative of a recommendation to change a portion of the process control system, and cause a change of the portion of the process control system based on the recommendation.

Abstract: A process plant and industrial control system architecture includes a generalized compute fabric that is agnostic or indifferent to the physical location at which the compute fabric is implemented, includes one or more physical control or field devices located at one or more specific plant sites at which a product or process is being manufactured and further includes a transport network that securely provides communications between the compute fabric and the pool of physical devices using a communications gateway device at each plant site that provides secured communications between the compute fabric and the one or more physical control or field devices at each plant site. The communications gateway at each plant site implements one or more secured point-to-point or peer-to-peer communication networks between the compute fabric and the plant site using one or more virtual private networks.

Abstract: A process plant and industrial control system architecture includes a generalized compute fabric that is agnostic or indifferent to the physical location at which the compute fabric is implemented, includes one or more physical control or field devices located at one or more specific sites at which a product or process is being manufactured and further includes a transport network that securely provides communications between the compute fabric and the pool of physical devices.

Abstract: A process plant and industrial control system architecture includes a generalized compute fabric that is agnostic or indifferent to the physical location at which the compute fabric is implemented, includes one or more physical control or field devices located at one or more specific sites at which a product or process is being manufactured and further includes a transport network that securely provides communications between the compute fabric and the pool of physical devices.

Abstract: An industrial process control system includes a compute fabric having a first portion operating on-premises at an industrial process plant controlled by the industrial process control system and a second portion operating remotely from the industrial process plant controlled by the industrial process control system. The system also includes one or more transmitters in the process plant measuring or sensing physical parameters and includes one or more physical control elements in the process plant, each physical control element responsive to a respective setpoint parameter. The system further includes a plurality of micro-encapsulated execution environments instantiated in the compute fabric, each executing at least a portion of a control module that receives data from the one or more transmitters and transmits at least one setpoint parameter to each of the one or more physical control elements to cause the physical control elements to control a process in the industrial process plant.