A method for providing access to a development and execution (D&E) platform for development of industrial software, including providing while the D&E platform is being accessed a GUI with a development tool having process flow and code editors and an execution tool and arranging two or more programming blocks of a process flow responsive to input from an author when the process flow editor is accessed. The two or more programming blocks, when arranged, are configured to be executed. The method further includes editing source code of the two or more programming blocks responsive to input from the author when the code editor is accessed, compiling at least one of the two or more programming blocks responsive to input from the author when the execution tool is accessed, and executing the compiled at least one programming block responsive to input from the author when the execution tool is accessed.

Techniques for implementing a dynamic API bot for robotic process automation are disclosed. In some embodiments, a computer system performs operations comprising: providing a data file having a predefined template comprising dedicated fields for an identification of an API, a type of call method, metadata identifying one or more objects, and data of the object(s); providing a low-code no-code (LCNC) development platform configured to enable a user to develop a bot by dragging and dropping application components of the bot; receiving, via the LCNC development platform, a configuration of the bot comprising a configuration of the application components of the bot and an identification of the data file; and running the bot, the bot being configured to generate a request using the data file, converting the data of the object(s) into a payload in a format required by the API based on the data file.

A method for providing a user interface in a low-code or no-code development platform includes generating, by a computing system, a graphic user interface of an application development program. The graphic user interface includes: a first area including a list of blocks; a second area including a structured data object comprising nodes corresponding to one or more of the blocks; and a third area including a parameter field of a selected one of the nodes, wherein the parameter field is configured to receive user input defining both a static string and a dynamic variable.

A method for providing a user interface in a low-code or no-code development platform includes generating, by a computing system, a graphic user interface of an application development program. The graphic user interface includes: a first area including a list of blocks; a second area including a structured data object comprising nodes corresponding to one or more of the blocks; and a third area including a parameter field of a selected one of the nodes, wherein the parameter field is configured to receive user input defining both a static string and a dynamic variable.

A method for facilitating invocation of a procedure by a first network node in a system comprising the first and second network node. The method includes storing, in the second network node, a data set comprising digital assets represented by graphical objects having locations in a virtual workspace, providing information associated with the graphical objects to the first network node, detecting a gesture or a user interaction event contacting a plurality of locations on a screen space of the first network node, obtaining an identification of a workflow procedure in dependence upon an interpretation of the gesture or user interaction event, wherein at least one of the locations corresponds to a location of the graphical object and wherein the workflow procedure has an input parameter associated with one or more properties of the graphical object, and facilitating invocation of the identified workflow procedure according to the input parameter.

An industrial integrated development environment (IDE) includes a training component that improves the IDE's automated design tools over time based on analysis of aggregated project data submitted by developers over time. The industrial IDE can apply analytics (e.g., artificial intelligence, machine learning, etc.) to project data submitted by developers across multiple industrial enterprises to identify commonly used control code, visualizations, device configurations, or control system architectures that are frequently used for a given industrial function, machine, or application. This learned information can be encoded in a training module, which can be leveraged by the IDE to generate programming, visualization, or configuration recommendations. The IDE can automatically add suitable control code, visualizations, or configuration data to new control projects being developed based on an inference of the developer's design goals and knowledge of how these goals have been implemented by other developers.

Provided is a programming device capable of reducing the load of an operator that creates a control program including a command corresponding to a function of an imaging device. Provided is a programming device for programming industrial machinery, the programming device including: a command generation unit that acquires information regarding an imaging device connected to a control device of the industrial machinery and that, on the basis of the acquired information, generates an icon or command statement expressing a command using an image acquired by the imaging device; and a command display unit that displays the generated icon or command statement on a display screen.

Provided is a programming device capable of reducing the load of an operator that creates a control program including a command corresponding to a function of an imaging device. Provided is a programming device for programming industrial machinery, the programming device including: a command generation unit that acquires information regarding an imaging device connected to a control device of the industrial machinery and that, on the basis of the acquired information, generates an icon or command statement expressing a command using an image acquired by the imaging device; and a command display unit that displays the generated icon or command statement on a display screen.

The present disclosure relates to a neural network image identification system and a neural network building system and method used therein. The neural network building method comprises: forming a combination sequence of instruction graphic tags according to a plurality of instruction graphic tags selected by a user and displayed on a screen; combining a plurality of program sets corresponding to the plurality of instruction graphic tags in an order identical to that of contents in the combination sequence of these instruction graphic tags, to generate a neural network program; and checking whether the combination sequence of instruction graphic tags conforms to one or more preset rules before the neural network program is compiled. Therefore, the neural network image identification system is configured to identify an image to be identified captured by an image capturing device, while the neural network image identification program for identifying images by the neural network image identification system can be built by the neural network building system in accordance with needs of users.

The present disclosure relates to a neural network image identification system and a neural network building system and method used therein. The neural network building method comprises: forming a combination sequence of instruction graphic tags according to a plurality of instruction graphic tags selected by a user and displayed on a screen; combining a plurality of program sets corresponding to the plurality of instruction graphic tags in an order identical to that of contents in the combination sequence of these instruction graphic tags, to generate a neural network program; and checking whether the combination sequence of instruction graphic tags conforms to one or more preset rules before the neural network program is compiled. Therefore, the neural network image identification system is configured to identify an image to be identified captured by an image capturing device, while the neural network image identification program for identifying images by the neural network image identification system can be built by the neural network building system in accordance with needs of users.