A system for sharing plant device configuration data collected by handheld communicators during monitoring and servicing activities. Plant device configuration data is assigned relational identifiers such as equipment identifiers that provide additional information relevant to the configuration data for a plant device. Additional plant process identifiers may also be assigned to distinguish configuration profiles for various equipment sets. The relational data may be used to retrieve the configuration profiles for application in various efforts to replicate configurations across plants.

The present invention relates to a method of adjusting control commands for moving a medical camera connected to a motorized support structure, wherein the adjustment is based on images provided by the camera. Based on a comparison of at least two images provided by the camera, an actual motion of the camera is determined and compared with an intended motion defined by a control command forwarded to the motorized support structure. In case a deviation between the intended motion and the actual motion is determined, a correction is applied to the control command such that the actual motion of the camera coincides with the intended motion.

A software defined (SD) process control system (SDCS) implements controller and other process control-related business logic as logical abstractions (e.g., application layer services executing in containers, VMs, etc.) decoupled from hardware and software computing platform resources. An SD networking layer of the SDCS utilizes process control-specific operating system support services to manage the usage of the computing platform resources and the creation, deletion, modifications, and networking of application layer services with devices disposed in the field environment and with other services, responsive to the requirements and needs of the business logic and dynamically changing conditions of SDCS hardware and/or software assets during run-time of the process plant (such as performance, faults, addition/deletion of hardware and/or software assets, etc.). A visualization system of the SDCS provides a user with a view as to the state of the SDCS as currently configured/running on the computing platform to enable a user to view currently configured interrelationships between logical elements of the control system and other logical and/or physical elements of the control system. The visualization system also provides performance metrics of the system as currently configured to enable a user to understand the operational health of the control system as currently configured.

An I/O server service interacts with multiple containerized controller services each implementing the same control routine to control the same portion of the same plant. The I/O server service may provide the same controller inputs to each of the containerized controller services (e.g., representing measurements obtained by field devices and transmitted by the field devices to the I/O server service). Each containerized controller service executes the same control routine to generate a set of controller outputs. The I/O server service receives each set of controller outputs and forwards an “active” set to the appropriate field devices. The I/O server service and other services, such as an orchestrator service, may continuously evaluate performance and resource utilization in the control system, and may dynamically activate and deactivate controller services as appropriate.

A process control system includes a plurality of field devices operating to control a process in a process plant. A communication infrastructure couples the plurality of field devices to a software-defined control system (SDCS) that receives data from the field devices and transmits instructions to the field devices. A data cluster, executing the SDCS, includes a plurality of compute nodes, each of which includes a processor executing an operating system, a memory, and a communication resource coupled to one or more other compute nodes in the data cluster. A plurality of instantiated containers, each of which is an isolated execution environment within the operating system of the compute node on which the container is instantiated, cooperate to facilitate execution of a control strategy in the SDCS. At least one of the containers in the SDCS is pinned to a component in the SDCS.

A magnetic release assembly includes a housing defining a cavity, a permanent electromagnet positioned within the cavity, and a microcontroller electronically coupled with the permanent electromagnet. The microcontroller is configured to selectively provide power to the permanent electromagnet. A timer board is in communication with the microcontroller. A power source is electronically coupled with the microcontroller, the permanent electromagnet, and the timer board. The microcontroller is configured to provide power to the permanent electromagnet in response to an alarm from the timer board.

Methods, apparatus, systems and articles of manufacture are disclosed herein to implement flexible bioreactor control systems. An example apparatus disclosed herein includes a processor coupled to a memory, the processor programmed to determine whether the map value included in the process task object is a valid map value, the process task object to correspond to a task executed by a bioreactor, a control device or a measurement device of the bioreactor control system configuration, in response to determining the map value is a valid map value, decode the map value to identify the source location of a first input of the process task object, pull a value from the source location to update the input value of the process task object, and facilitate execution of the process task with the input value.

Provided is an electronic device. The electronic device includes a motor, a memory configured to store at least one of first frequency information associated with a sound that is generated when the motor is driven or second frequency information associated with a surrounding environment of the electronic device, and a processor configured to control the motor to be driven by avoiding a driving speed corresponding to the frequency information stored in the memory.

A method for configuration of a controlled drive application of a logistics system. The logistics system includes parallel conveying paths for piece goods. Each conveying path includes sub-conveying paths which are each accelerated or delayed to merge the piece goods on a single output conveying path with defined spacing. A system model of the logistics system is firstly determined by operating data of the logistics system which include sensor values of the logistics system and changes to control variables. A control function is determined, which includes configuration data for the drives, with at least one control action being performed on the precondition of one or more performance features that are to be achieved in the system model, during which control action the operating data is simulated for a plurality of time steps.

To provide adaptiveness to data collected on an industrial automation device, a test is used for a specific need. A set of parameter values to be used during the test are temporary and send to the industrial automation device with an indication of a test. Before the test is run, existing parameter values are backed up, and they are restored after the test.