A process control system for controlling a process including a plurality of sub-processes, the process control system including a plurality of control modules each associated with one of the plurality of sub-processes. At least one of the plurality of control modules includes a model, a communicator, and a controller. The model includes a sub-process model defining a relationship between variables of the associated sub-process, and an inter-sub-process model defining a relationship between a variable of another sub-process and at least one of the variables of the associated sub-process. The communicator communicates with control module associated with the another sub-process to determine an updated value for the variable of the another sub-process. The controller uses the model and the updated value to determine a control signal for adjusting a manipulated variable of the associated sub-process. The process control method is also provided that is performed by the process control system.

A distributed control system may include a main processing unit, a distributed control module, and a controllable component. The distributed control module may be configured to receive a nominal command reference from the main processing unit, determine a series of cumulating command references based at least in part on the nominal command reference; and output a series of cumulating control commands to the controllable component. The series of cumulating control commands may be based at least in part on the series of cumulating command references.

A method operates a safety control in an automation network having a master subscriber which carries out the safety control, at least one first slave subscriber which is assigned a first safety integrity level, and at least one second slave subscriber which is assigned a second safety integrity level. The first safety integrity level and the second safety integrity level differ from each other. A first safety code determination method is assigned to the first slave subscriber and a second safety code determination method is assigned to the second slave subscriber. The first safety code determination method and the second safety code determination method differ from each other. The master subscriber and the first slave subscriber use the first safety code determination method for interchanging a safety data block. The master subscriber and the second slave subscriber use the second safety code determination method for interchanging a safety data block.

Provided is a control device for a production module having a data memory for storing operational settings of production modules and restrictions, which must be complied with by at least some of the operational settings. A settings management module is used to determine the external operational setting of an adjacent production module on which a local operational setting of the production module is dependent on the basis of a common restriction. An optimization module is also provided and has a local assessment function, which assesses the local operational setting, and a further assessment function which assesses noncompliance with the common restriction.

A device system includes a terminal device which is usable by a plant worker, and an information processor which is connectable to the terminal device through a network. The terminal device includes a collector configured to collect a detection result from a sensor which detects a state around a device installed in a plant, and a communicator configured to transmit the detection result collected by the collector to the information processor. The information processor includes a storage which stores teacher data in which past detection results obtained by the sensor and data representing whether or not an abnormality exists in the device are associated with each other, and an analyzer configured to determine whether or not an abnormality exists in the device based on the detection result transmitted from the communicator and the teacher data stored in the storage.

High availability and data migration in a distributed process control computing environment. Allocation algorithms distribute data and applications among available compute nodes, such as controllers in a process control system. In the process control system, an input/output device, such as a fieldbus module, can be used by any controller. Databases store critical execution information for immediate takeover by a backup compute element. The compute nodes are configured to execute algorithms for mitigating dead time in the distributed computing environment.

Methods and Systems are described for control at/of a network node. The network node can include a control module and first and second modules coupled to the control module. The first module can be configured to select first input/output (I/O) types of a field device coupled at an I/O interface of the network node. The second module can be configured to select a second I/O types of the field device. The first and second modules can be coupled to the I/O interface through a field device coupler.

High availability and data migration in a distributed process control computing environment. Allocation algorithms distribute data and applications among available compute nodes, such as controllers in a process control system. In the process control system, an input/output device, such as a fieldbus module, can be used by any controller. Databases store critical execution information for immediate takeover by a backup compute element. The compute nodes are configured to execute algorithms for mitigating dead time in the distributed computing environment.

A system for preventing inadvertent or untimely parameter changes to an active online field device from a secondary system different from a distributed control system application providing control instructions to the field device, where the parameter changes may cause detrimental effects to a plant process or activity. A request for a parameter change from the secondary system may be intercepted before the request is received by a field device or a controller for evaluation by an operator of the distributed control system. The validation process may provide a plant operator with override authority to approve or deny a set of critical parameter changes to an active field device or other active plant device.

The present invention relates to a method and a system for controlling a process of a process plant. Hie system is configured to control a process in the process plant by recommending control operations and perform the control operations. The system obtains the control operations and detects availability of control room operators using historical data related to actions performed by the control room operators, sensory parameters of the control room operators and a status associated with the process. The system provides queries related to the control operations, the plant parameters, status of the process to the control room operators upon detecting the availability. Hie queries are validated by the control room operators. The system thereafter autonomously controls tire control room based on the validated data.