A Multi-Purpose Dynamic Simulation and run-time Control platform includes a virtual process environment coupled to a physical process environment, where components/nodes of the virtual and physical process environments cooperate to dynamically perform run-time process control of an industrial process plant and/or simulations thereof. Virtual components may include virtual run-time nodes and/or simulated nodes. The MPDSC includes an I/O Switch which delivers I/O data between virtual and/or physical nodes, e.g., by using publish/subscribe mechanisms, thereby virtualizing physical I/O process data delivery. Nodes serviced by the I/O Switch may include respective component behavior modules that are unaware as to whether or not they are being utilized on a virtual or physical node. Simulations may be performed in real-time and even in conjunction with run-time operations of the plant, and/or simulations may be manipulated as desired (speed, values, administration, etc.). The platform simultaneously supports simulation and run-time operations and interactions/intersections therebetween.

Control circuits control inverter circuits provided in correspondence to the control circuits by a drive mode selected from a plurality of drive modes. A cooperative drive mode is for controlling a current supply to motor windings by a plurality of systems by using a value acquired from the other control circuit via communication. An independent drive mode is for controlling the current supply to the motor windings by the plurality of systems without using the value acquired from the other control circuit. A one-system drive mode is for controlling the current supply to the motor winding by one system without using the value acquired from the other control circuit. The control circuits set the drive mode to a cooperative drive mode when inter-computer communication is normal. The control circuits set the drive mode to an independent drive mode or a one-system drive mode thereby differentiating an output characteristic of a motor from that in the cooperative drive mode.

Systems and methods are provided for gathering and segregation of oil extracted from a resource fields with a plurality of disparate sources in relatively close proximity. Instead of assigning a quality and/or destination for crude oil from an extraction source based on the origin of the crude oil, the crude oil can be characterized while still in local storage at or near the wellhead prior to transport to a refinery, a shipping or pipeline terminal, or another type destination for crude oil. Based on the characterization, one or more characteristics of the crude oil can be used to assign the crude oil to one of a plurality of destinations. The crude oil can then be transported to the assigned destination.

Systems and methods are provided for gathering and segregation of oil extracted from a resource fields with a plurality of disparate sources in relatively close proximity. Instead of assigning a quality and/or destination for crude oil from an extraction source based on the origin of the crude oil, the crude oil can be characterized while still in local storage at or near the wellhead prior to transport to a refinery, a shipping or pipeline terminal, or another type destination for crude oil. Based on the characterization, one or more characteristics of the crude oil can be used to assign the crude oil to one of a plurality of destinations. The crude oil can then be transported to the assigned destination.

This control device of a machine tool is provided with: a storage unit which stores in advance a nominal diameter and a nominal length of a blade part of a rotary tool; an image-capturing instruction unit which outputs an image-capturing instruction to an image-capturing device; a model creation unit which generates model data of the blade part of the tool on the basis of the nominal diameter and the nominal length stored in the storage unit, generates model data of a tool shank and holder on the basis of an image stored in the image-capturing device, and creates model data of the rotary tool on the basis of the generated model data of the blade part and the generated model data of the tool shank and holder.

This control device of a machine tool is provided with: a storage unit which stores in advance a nominal diameter and a nominal length of a blade part of a rotary tool; an image-capturing instruction unit which outputs an image-capturing instruction to an image-capturing device; a model creation unit which generates model data of the blade part of the tool on the basis of the nominal diameter and the nominal length stored in the storage unit, generates model data of a tool shank and holder on the basis of an image stored in the image-capturing device, and creates model data of the rotary tool on the basis of the generated model data of the blade part and the generated model data of the tool shank and holder.

The present disclosure describes systems and techniques that enhance effectiveness and efficiency of a contingency analysis tool that is used for studying the magnitude and likelihood of extreme contingencies and potential cascading events across a power system. The described systems and techniques include deploying the contingency analysis tool in a high-performance computing (HPC) environment and incorporating visual situational awareness approaches to allow power system engineers to quickly and efficiently evaluate multiple power system simulation models. Furthermore, the described systems and techniques include the power system contingency-analysis tool calculating and coordinating protection element settings, as well as assessing controls of the power system using small-signal nomograms, allowing power system engineers to more effectively comprehend, evaluate, and analyze causes and effects of cascading events against a topology of a power system.

The present disclosure describes systems and techniques that enhance effectiveness and efficiency of a contingency analysis tool that is used for studying the magnitude and likelihood of extreme contingencies and potential cascading events across a power system. The described systems and techniques include deploying the contingency analysis tool in a high-performance computing (HPC) environment and incorporating visual situational awareness approaches to allow power system engineers to quickly and efficiently evaluate multiple power system simulation models. Furthermore, the described systems and techniques include the power system contingency-analysis tool calculating and coordinating protection element settings, as well as assessing controls of the power system using small-signal nomograms, allowing power system engineers to more effectively comprehend, evaluate, and analyze causes and effects of cascading events against a topology of a power system.

A Multi-Purpose Dynamic Simulation and run-time Control platform includes a virtual process environment coupled to a physical process environment, where components/nodes of the virtual and physical process environments cooperate to dynamically perform run-time process control of an industrial process plant and/or simulations thereof. Virtual components may include virtual run-time nodes and/or simulated nodes. The MPDSC includes an I/O Switch which delivers I/O data between virtual and/or physical nodes, e.g., by using publish/subscribe mechanisms, thereby virtualizing physical I/O process data delivery. Nodes serviced by the I/O Switch may include respective component behavior modules that are unaware as to whether or not they are being utilized on a virtual or physical node. Simulations may be performed in real-time and even in conjunction with run-time operations of the plant, and/or simulations may be manipulated as desired (speed, values, administration, etc.). The platform simultaneously supports simulation and run-time operations and interactions/intersections therebetween.

Two control strategies may be implemented to optimize mud circulation in a drilling mud circulation system. In a networked control strategy, the mud circulation system does not involve any centralized controller yet all the local controllers can exchange information in real-time via a central data storage. The master-slave control strategy involves a centralized optimizer, and the subsystems are treated as slave systems and are driven by a visual master control system.