A staged application may be transitioned, or hot swapped, to live application, that is, the staged version of an application is transited to the live version of an application. The staged version may nm in estimation mode along-side the live version. Only one version of an application may be active in a given run time workspace. The staged version may be initialized with one or more parameters or variables. The staged version may be tested or simulations may be performed to ensure the staged version is ready to be transitioned to a live version. The staged version may execute at a lower priority to ensure that the efficiency and operations of the live version are not disturbed. Once the staged version has been transitioned, the replaced live version or another version may be transitioned to the staged version. The transitioned staged version and the replaced live version may be archived.

A numerical control device including a programmed machining restart function includes a first display unit for displaying, as a list, specific codes indicating limit points of machining steps of a machining program, a specification unit for specifying, among the specific codes displayed as a list by the first display unit, a specific code that is selected, and a program restart unit for executing, by using a location in a memory of the specific code that is specified by the specification unit, a restart operation of the machining program from a machining step including the specific code that is specified.

The application relates to a device for a machine in the beverage industry, comprising an HMI for user input of control commands for the machine. The device is configured to be connectable to an external control module via a wireless communication connection. The device can then exchange an HMI data record with the external control module by use of this wireless connection. The device can receive at least one HMI data record from the external control module, said data record comprising data or parameters for configuring the HMI. Furthermore, at least one HMI data set can be transferred from the HMI to the external control module and comprise data or parameters for evaluation or storage by the external control module. The device can be a separate module of the machine and can accordingly be connected to the HMI, communicate with the HMI, or at least control the HMI.

System(s) and method(s) are provided for peer-to-peer exchange of data in a control system. Decentralized storage and multi-access paths provide complete sets of data without dependence on a specific or pre-defined data source or access paths. Data is characterized as data resources with disparate granularity. The control system includes a plurality of layers that act as logic units communicatively coupled through access network(s). Server(s) resides in a service layer, whereas client(s) associated with respective visualization terminal(s) are part of a visualization layer. Peer-to-peer distribution of data resource(s) can be based on available access network(s) resources and optimization of response time(s) in the control system. When client requests a data resource, all the locations of the data resource and the quickest source to retrieve it are automatically determined. The client stores copy of data resource. Peer-to-peer distribution of data resource(s) can be implemented within the service layer or the visualization layer.

Various systems and methods are presented regarding monitoring and controlling operation of a process. A visual representation of the process can be created based on a supermodel comprising models (representing one or more devices) and nodes (representing respective device variables and constraints). Further, the process can be represented by levels, wherein devices at each level can be self-aware and have onboard artificial intelligence, such that a device at any level can auto-configure itself in accordance with a requirement placed upon it. Field-level devices (IFLDs) can be smart devices which auto-configure based upon a requirement from a higher-level device. Accordingly, system awareness can be incorporated across all levels of the process enabling overall and device-specific optimization of the process. IFLDs can auto-configure to collect and transmit data in accordance with an instruction from a higher-level device, leading to efficient data collection, reduced data bandwidth/processing, and expedited system optimization.

System(s) and method(s) are provided for peer-to-peer exchange of data in a control system. Decentralized storage and multi-access paths provide complete sets of data without dependence on a specific or pre-defined data source or access paths. Data is characterized as data resources with disparate granularity. The control system includes a plurality of layers that act as logic units communicatively coupled through access network(s). Server(s) resides in a service layer, whereas client(s) associated with respective visualization terminal(s) are part of a visualization layer. Peer-to-peer distribution of data resource(s) can be based on available access network(s) resources and optimization of response time(s) in the control system. When client requests a data resource, all the locations of the data resource and the quickest source to retrieve it are automatically determined. The client stores copy of data resource. Peer-to-peer distribution of data resource(s) can be implemented within the service layer or the visualization layer.

System(s) and method(s) are provided for peer-to-peer exchange of data in a control system. Decentralized storage and multi-access paths provide complete sets of data without dependence on a specific or pre-defined data source or access paths. Data is characterized as data resources with disparate granularity. The control system includes a plurality of layers that act as logic units communicatively coupled through access network(s). Server(s) resides in a service layer, whereas client(s) associated with respective visualization terminal(s) are part of a visualization layer. Peer-to-peer distribution of data resource(s) can be based on available access network(s) resources and optimization of response time(s) in the control system. When client requests a data resource, all the locations of the data resource and the quickest source to retrieve it are automatically determined. The client stores copy of data resource. Peer-to-peer distribution of data resource(s) can be implemented within the service layer or the visualization layer.

A method is provided for modulating transpiration in an organism that is capable of photosynthesis, where the method includes contacting the organism with a composition including an effective amount of an oxygen antagonist. Also provided is an apparatus for modulating transpiration in an organism that is capable of photosynthesis.

A method for controlling a device by a terminal device and the terminal device thereof are provided. The method includes: identifying an identity image of a controlled device; obtaining a control interface of the controlled device according to the identity image; receiving a control operation instruction triggered by a user through the control interface; and sending the control operation instruction to the controlled device by establishing communication connection with the controlled device. The user may identify respective controlled devices and obtain corresponding control interfaces of the controlled devices conveniently in a manner of identifying identity images of respective controlled devices by the same user terminal, and thus realize convenient control over the controlled devices through the control interfaces, so as to improve the convenience and accuracy of controlling the respective controlled devices.

An integrated development environment (IDE) for designing, programming, and configuring aspects of an industrial automation system uses a generative artificial intelligence (AI) model and associated neural networks to generate portions of an industrial automation project in accordance with functional requirements provided to the industrial IDE system in intuitive formats, such as spoken or written plain language text. The system uses generative AI to translate plain language requests or functional specifications into industrial control code, human-machine interface (HMI) applications, device configuration settings, or other aspects of an industrial control project.