When a worker executes an operation on an actual plant, an information processing device generates a first calculation result obtained by calculating a behavior of the actual plant after execution of the operation using a virtual plant following an operational status of the actual plant and generates each second calculation result obtained by calculating a behavior of the actual plant with respect to each of operation pattern plans corresponding to a state of the actual plant. The information processing device evaluates the operation that is executed by the worker based on the first calculation result and the second calculation result.

Systems and methods for allocating computing environments for completing an RPA (robotic process automation) workload are provided. A request for completing an RPA workload is received. A number of computing environments to allocate for completing the RPA workload is calculated based on a selected one of a plurality of RPA autoscaling strategies. The calculated number of computing environments is allocated for allocating one or more RPA robots to complete the RPA workload. The computing environments may be virtual machines.

In an approach to AI empowered factory automation using an industrial IoT, responsive to receiving a new production task, production requirements are input into an AI engine. Equipment and software containers are selected based on the AI model. An orchestration service is created, where the orchestration service collaborates the equipment and the software containers.

A method for securely managing operations of a field device in an industrial environment includes receiving a request to operate the field device from one or more data sources. The request includes information associated with the field device, requestor information, and at least one operation command to be executed on the field device. The method further includes generating one or more control signals to operate the field device based on the received request. Further, the method includes validating the generated one or more control signals based on information related to the field device and proximity of one or more objects with respect to location of the field device. The method includes outputting the generated one or more control signals to at least one field device via a network based on successful validation of the one or more control signals. The outputted one or more control signals operate the field device.

A system and a method of managing a manufacturing process includes receiving production data relating to the manufacturing process and determining an operational mode associated with the manufacturing process using historical, multivariate senor data. The method may further determine a recommended action to affect production based on the determined operational mode. The operational mode may be based on at least one of: a level of operation in a continuous flow process relating to a joint set of process variables, a representation of a joint dynamic of the set of process variables over a predefined length, and a joint configuration of an uptime/downtime of a plurality of units comprising a process flow.

In a method for programming a plant control system having a plurality of control units (6) connected to one another and to sensors and/or actuators, a plurality of component templates (2) of plant parts are called up from a component template memory (1), and components (4) are created from these templates and are linked to one another in a plant description (3). For each component (4) of the plant description (3), a component program code is transmitted to an allocated control unit (6). The method makes it possible to start up a plant control system easily and time-efficiently with minimal testing and maintenance effort, even in the case of complex plants.

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.

Techniques for presenting historized process parameter values in a process plant include presenting, via a user interface of an operator application, indications of process control elements in a first display region within a layout of a display view. Each of the process control elements is associated with one or more process parameters. The operator application also presents a trend display view in a second display region within the layout of the display view. The trend display view includes sets of historized process parameter values for process parameters presented in the first display region. For example, the trend display view in the second display region is linked to the display view in the first display region. In this manner, the trend display view presents charts or other graphical depictions of historized process parameter values for process parameters included in the first display region.

The real time capability is to be improved in a Cloud-based control system for an automation plant. To this end, a redundantly embodied, Cloud-based control system with a plurality of computing resources distributed over a network with control applications running thereon is proposed, which, embodied as a primary and backups, execute a control program almost simultaneously and send corresponding program instructions to the automation plant. Long transmission times of individual computing resources therefore do not have a negative effect on the control of the automation plant.

Efficient and effective workspace condition analysis systems and methods are presented. In one embodiment, a method comprises: accessing information associated with an activity space, including information on a newly discovered previously unmodeled entity; analyzing the activity information, including activity information associated with the previously unmodeled entity; forwarding feedback on the results of the analysis, including analysis results for the updated modeled information; and utilizing the feedback in a coordinated path plan check process. In one exemplary implementation the coordinated path plan check process comprises: creating a solid/CAD model including updated modeled information; simulating an activity including the updated modeled information; generating a coordinated path plan for entities in the activity space; and testing the coordinated path plan. The coordinated path plan check process can be a success. The analyzing can include automatic identification of potential collision points for a first actor, including potential collision points with the newly discovered object. The newly discovered previously unmodeled entity interferes with an actor from performing an activity. The newly discovered object is a portion of a tool component of a product.