A method (500), performed by an industrial automation system, for condition monitoring an industrial plant includes receiving (502) operational data of die industrial plant and obtaining an information model corresponding to at least one asset of the industrial plant from a cloud infrastructure. The method (500) further includes processing (504) die operational data using the information model to generate a recommendation for a control action. The industrial automation system (200) is configured to provide a means to update the information model by dynamically receiving (510) a new scheme for condition monitoring from a user and generating (512) an updated information model based on the received scheme using an engineering tool m the cloud infrastructure. The step of updating the information model is performed by storing the updated information model in a machine readable file format on the cloud infrastructure.

An industrial control design and testing system supports emulation of a 2D representation of control system wiring between an industrial controller and field hardware. The design and testing system can simulate wiring diagrams to virtually confirm connectivity between the controller and the I/O devices in the field. This approach can also confirm wiring connections that do not pass through the controller, including emergency stop pushbuttons or other electrical connections that do not feed back into the controller.

A diagnosis method, a diagnosis system, a process-engineering plant and a training method for the diagnosis system, wherein course over time of plant data, which at least partially characterizes the plant status, is provided and a plant status is classified with the aid of a plurality of models based on the course over time of the plant data, where each model of the plurality of models differs with respect to a time window from which the plant data are based, a confidence is allocated to each classification that result from the at least two models, and where diagnosis information based on the classifications of the plant status and the confidences allocated thereto is output.

In order to reduce the calculation cost of industrial plant evaluation, an industrial plant evaluation device 5 comprises: a reception unit 51 configured to receive an actual machine manipulated variable in process control of an industrial plant and an actual machine process variable to be controlled by the process control; an estimation unit 52 configured to determine a process variable as an estimated process variable by using a process model defining a mathematical relationship between a manipulated variable and a process variable in the process control, the process variable as the estimated process variable being obtained by substituting the actual machine manipulated variable for the manipulated variable in the process model; and a comparison unit 53 configured to compare the estimated process variable and the actual machine process variable with each other.

A method, performed by an industrial automation system, for condition monitoring an industrial plant includes receiving operational data of die industrial plant and obtaining an information model corresponding to at least one asset of the industrial plant from a cloud infrastructure. The method further includes processing die operational data using the information model to generate a recommendation for a control action. The industrial automation system is configured to provide a means to update the information model by dynamically receiving a new scheme for condition monitoring from a user and generating an updated information model based on the received scheme using an engineering tool m the cloud infrastructure. The step of updating the information model is performed by storing the updated information model in a machine readable file format on the cloud infrastructure.

In order to reduce the calculation cost of industrial plant evaluation, an industrial plant evaluation device 5 comprises: a reception unit 51 configured to receive an actual machine manipulated variable in process control of an industrial plant and an actual machine process variable to be controlled by the process control; an estimation unit 52 configured to determine a process variable as an estimated process variable by using a process model defining a mathematical relationship between a manipulated variable and a process variable in the process control, the process variable as the estimated process variable being obtained by substituting the actual machine manipulated variable for the manipulated variable in the process model; and a comparison unit 53 configured to compare the estimated process variable and the actual machine process variable with each other.