Abstract: An industrial control configuration can be a dynamic entity where different controllers are added, are subtracted, fail, etc. When dynamic functions occur, bindings of the configuration can benefit from a modification. Therefore, automatic adjustment of bindings can occur to facilitated improved operation. Automatic adjustment can be practiced when the industrial control configuration is a distributed control configuration without reliance upon a central database.

Abstract: A simulation environment is provided for running a process simulation used to validate an industrial control program. The simulation environment exposes the I/O module configurations defined in the control program and retrieves module configuration information therefrom. This I/O module configuration information is combined with generic, module-specific I/O module profiles to create a pool of available controller I/O points, which can be selectively associated with I/O points in the simulation to create an I/O point mapping. During control program validation, simulated I/O data is exchanged between the process simulation and the I/O module instances in the controller in accordance with the I/O point mapping. A variation of these techniques for use with cloud-based emulations is also described.

Abstract: A simulation environment for running a process simulation used to validate an industrial control program. The simulation environment exposes the I/O module configurations defined in the control program and retrieves module configuration information therefrom. This I/O module configuration information is combined with generic, module-specific I/O module profiles to create a pool of available controller I/O points, which can be selectively associated with I/O points in the simulation to create an I/O point mapping. During control program validation, simulated I/O data is exchanged between the process simulation and the I/O module instances in the controller in accordance with the I/O point mapping.

Abstract: The claimed subject matter provides a system and/or method that facilitates employing safety within an industrial environment. An enhancing component can implement at least one of a security level, authentication, authorization, or an access right to a validated action to at least one of the controller or the controller engine instance. The enhancing component can further separate two or more entities within the industrial environment, the first entity related to process control and the second entity related to process safety. Additionally, the enhancing component can employ at least one of a backup controller or a backup controller engine instance in the event of at least one of a software error or a hardware error within the industrial environment.

Abstract: In an industrial control setting, different components can have information that can be valuable to various entities, such as other components, technicians, and the like. A decision can be made as to what information should be available to entities and a determination can be made if the information should be published in a directory or be discoverable. Security can be taken into account in determining if information should be published and decision making can employ adaptive learning, such that a publish and/or discovery decision criterion can be modified based on the learning.

Abstract: In a distributed directory configuration, different nodes can retain information pertinent an industrial control configuration. As information changes in one node, replicas of the information in other nodes can be updated. However, updating can take time and a query can be run upon the directory while nodes have conflicting information. Conflicting information can be identified and resolved such that a query obtains a correct answer.

Abstract: A simulation environment is provided for running a process simulation used to validate an industrial control program. The simulation environment exposes the I/O module configurations defined in the control program and retrieves module configuration information therefrom. This I/O module configuration information is combined with generic, module-specific I/O module profiles to create a pool of available controller I/O points, which can be selectively associated with I/O points in the simulation to create an I/O point mapping. During control program validation, simulated I/O data is exchanged between the process simulation and the I/O module instances in the controller in accordance with the I/O point mapping. A variation of these techniques for use with cloud-based emulations is also described.

Abstract: The claimed subject matter provides a system and/or method that facilitates employing safety within an industrial environment. An enhancing component can implement at least one of a security level, authentication, authorization, or an access right to a validated action to at least one of the controller or the controller engine instance. The enhancing component can further separate two or more entities within the industrial environment, the first entity related to process control and the second entity related to process safety. Additionally, the enhancing component can employ at least one of a backup controller or a backup controller engine instance in the event of at least one of a software error or a hardware error within the industrial environment.

Abstract: An industrial control configuration can be a dynamic entity where different controllers are added, are subtracted, fail, etc. When dynamic functions occur, bindings of the configuration can benefit from a modification. Therefore, automatic adjustment of bindings can occur to facilitated improved operation. Automatic adjustment can be practiced when the industrial control configuration is a distributed control configuration without reliance upon a central database.

Abstract: The claimed subject matter provides a system and/or method that facilitates employing safety within an industrial environment. An enhancing component can implement at least one of a security level, authentication, authorization, or an access right to a validated action to at least one of the controller or the controller engine instance. The enhancing component can further separate two or more entities within the industrial environment, the first entity related to process control and the second entity related to process safety. Additionally, the enhancing component can employ at least one of a backup controller or a backup controller engine instance in the event of at least one of a software error or a hardware error within the industrial environment.

Abstract: A simulation environment for running a process simulation used to validate an industrial control program. The simulation environment exposes the I/O module configurations defined in the control program and retrieves module configuration information therefrom. This I/O module configuration information is combined with generic, module-specific I/O module profiles to create a pool of available controller I/O points, which can be selectively associated with I/O points in the simulation to create an I/O point mapping. During control program validation, simulated I/O data is exchanged between the process simulation and the I/O module instances in the controller in accordance with the I/O point mapping.

Abstract: Systems and methods are provided that facilitate dynamic load shedding control in an industrial environment in accordance with one or more production goals provided by a user. One or more production goals for system of industrial load devices (e.g., target product output, desired maximum peak energy demand, and the like) can be provided to a policy engine, which generates goal-based criteria in a standardized format based on the production goals. The goal-based criteria can be provided to a load modulation component, which uses the criteria to calculate load shed priorities for respective load devices on the system designed to ensure that the one or more specified production goals are achieved. The load modulation component can also generate a load shed schedule or load shed criteria used to determine when or under what conditions load shedding is to be initiated in order to achieve the one or more production goals.

Abstract: An industrial control configuration can be a dynamic entity where different controllers are added, are subtracted, fail, etc. When dynamic functions occur, bindings of the configuration can benefit from a modification. Therefore, automatic adjustment of bindings can occur to facilitate improved operation. Automatic adjustment can be practiced when the industrial control configuration is a distributed control configuration without reliance upon a central database.

Abstract: A simulation environment for running a process simulation used to validate an industrial control program. The simulation environment exposes the I/O module configurations defined in the control program and retrieves module configuration information therefrom. This I/O module configuration information is combined with generic, module-specific I/O module profiles to create a pool of available controller I/O points, which can be selectively associated with I/O points in the simulation to create an I/O point mapping. During control program validation, simulated I/O data is exchanged between the process simulation and the I/O module instances in the controller in accordance with the I/O point mapping.

Abstract: A requesting entity can submit a query to an industrial control configuration to determine a location for a module. A distributed directory can be employed to discover an absolute location of the module, which can be provided to the requesting entity. This discovery can occur in real-time such that an answer can be given with a relatively high degree of certainty. In addition to providing the absolute address in the answer, a path on how to reach the module can be provided. The path can be optimized in order to allow quicker response time and to manage system resources.

Abstract: An industrial control configuration can be a dynamic entity where different controllers are added, are subtracted, fail, etc. When dynamic functions occur, bindings of the configuration can benefit from a modification. Therefore, automatic adjustment of bindings can occur to facilitate improved operation. Automatic adjustment can be practiced when the industrial control configuration is a distributed control configuration without reliance upon a central database.

Abstract: A simulation environment for running a process simulation used to validate an industrial control program. The simulation environment exposes the I/O module configurations defined in the control program and retrieves module configuration information therefrom. This I/O module configuration information is combined with generic, module-specific I/O module profiles to create a pool of available controller I/O points, which can be selectively associated with I/O points in the simulation to create an I/O point mapping. During control program validation, simulated I/O data is exchanged between the process simulation and the I/O module instances in the controller in accordance with the I/O point mapping.

Abstract: An industrial control configuration can be a dynamic entity where different controllers are added, are subtracted, fail, etc. When dynamic functions occur, bindings of the configuration can benefit from a modification. Therefore, automatic adjustment of bindings can occur to facilitate improved operation. Automatic adjustment can be practiced when the industrial control configuration is a distributed control configuration without reliance upon a central database.

Abstract: Various amounts of information can be beneficial to different controllers configured upon an industrial control system. Information can be retained in a distributed directory such that controllers quickly learn information concerning other controllers. The distributed directory can be automatically constructed and populated with information from different controllers. When a module enters an industrial control system, information can automatically advertise to other units through use of the distributed directory.

Abstract: Aspects describe creation of autonomous control for a composite curing process. Other aspects describe a controller and an apparatus for employing an autonomous control algorithm for a composite curing application. The algorithm can be based on thermocouple rules encapsulated within a thermocouple control wrapper. The thermocouple rules allow the thermocouple wrapper carry out diagnostic operations to determine the health of the associated thermocouple by communicating with neighboring thermocouples and validating temperature readings according to the thermocouple rules.