A control system for controlling a control target includes a database that holds one or more tables, a control apparatus that accesses the database, and an information processing apparatus that supports development of a user program executed in the control apparatus. The information processing apparatus acquires a column name and a data type of each column of a table, the table being selected from among the one or more tables, determines a data type of each member in correspondence with the acquired data type of each column, the data type being available in the user program, and displays a screen including the column name and the data type of each column, and the data type of each member brought into correspondence with the data type of each column.

A control system for controlling a control target includes a database that holds one or more tables, a control apparatus that accesses the database, and an information processing apparatus that supports development of a user program executed in the control apparatus. The information processing apparatus acquires a column name and a data type of each column of a table, the table being selected from among the one or more tables, determines a data type of each member in correspondence with the acquired data type of each column, the data type being available in the user program, and displays a screen including the column name and the data type of each column, and the data type of each member brought into correspondence with the data type of each column.

Applications of artificial intelligence (AI) in industrial automation have focused mainly on the runtime phase due to the availability of large volumes of data from sensors. Methods, systems, and apparatus that can use machine learning or artificial intelligence (AI) to complete automation engineering tasks are described herein.

Applications of artificial intelligence (AI) in industrial automation have focused mainly on the runtime phase due to the availability of large volumes of data from sensors. Methods, systems, and apparatus that can use machine learning or artificial intelligence (AI) to complete automation engineering tasks are described herein.

Provided is a subject device comprising: a control permission issuance part for issuing a new control permission each time a control permission issuance request is received from any of a plurality of control devices, and for returning information of the new control permission to the control device having transmitted the issuance request; a control permission management part for managing the control permissions such that only one among the issued control permissions is valid and the other issued control permissions are invalid; and a mutual exclusion part for, upon receipt, from any of the plurality of control devices, of a control commencement request to which the information of the control permission has been appended, verifying whether the control permission appended to the control commencement request is valid, allowing exclusive control by the control device having transmitted the control commencement request if the control permission is valid, and denying control by the control device having transmitted the control commencement request if the control permission is invalid.

Provided is a subject device comprising: a control permission issuance part for issuing a new control permission each time a control permission issuance request is received from any of a plurality of control devices, and for returning information of the new control permission to the control device having transmitted the issuance request; a control permission management part for managing the control permissions such that only one among the issued control permissions is valid and the other issued control permissions are invalid; and a mutual exclusion part for, upon receipt, from any of the plurality of control devices, of a control commencement request to which the information of the control permission has been appended, verifying whether the control permission appended to the control commencement request is valid, allowing exclusive control by the control device having transmitted the control commencement request if the control permission is valid, and denying control by the control device having transmitted the control commencement request if the control permission is invalid.

Current approaches to integrating industrial ecosystems, for instance integrating automation functions across different vendors of programmable logic controllers (PLCs), lack efficiencies and capabilities. In an example aspect, a consumer, for instance a PLC, can poll PLCs for an automation function. In response to the polling, a first PLC that includes a memory defining a plurality of dedicated memory areas, can retrieve an interface from a registry memory area that stores information concerning available interfaces in a provider memory area of the plurality of dedicated memory areas, such that the consumer discovers the interface. The consumer can bind to the interface so as to establish a connection between the consumer and the first PLC at runtime of the automation function. In some cases, the plurality of dedicated memory areas further defines a consumer memory area. The first PLC can track available interfaces associated with the first PLC in the registry memory area of the plurality of dedicated memory areas.

Element actions of actuators incorporated in an automated manufacturing machine are stored in a manner associated with program elements to perform the element actions. An action chart is used to describe an operation of the automated manufacturing machine, with one element action having an end linked to a start of another element action using a logical operation. The action chart describing the operation of the automated manufacturing machine is read. The element actions on the action chart are converted into the program elements. The program elements are combined together in accordance with the action chart. This allows automatic generation of a control program for controlling the operation of the automated manufacturing machine.

A method for optimizing data transmission in an automation system between a control device and at least one cloud system, as well as to a corresponding control device, a corresponding cloud system, and a control system. The method includes at least the following steps: determining a data transmission characteristic of at least one transmission path that is available for data transmission by means of a first and/or a second determination component; analyzing whether the data to be transmitted can be transmitted, based on the data transmission characteristic determined; selecting at least one action from a set of actions in order to adapt the data to be transmitted and/or the transmission path if the data to be transmitted cannot be transmitted, so as to allow the data transmission; and performing the at least one selected action.

A system for object detection of a manufactured part. The system comprises a system controller electronically coupled to an image acquisition device and delivery mechanism. An electronically stored ordered object detection map is provided which comprises predetermined detectable objects associated with the manufactured part. The ordered object detection map is generated from output created by execution of a trained object detection model and by processing such output according to predetermined calibration criteria. The system causing a visual image of the manufactured part to be captured with image data being extracted and processed to render at least one of a pass determination and a fail determination. The system being configured to process the manufactured based upon the rendered pass/fail determination.