A commissioning method, tool and computer-readable storage media for an industrial device are proposed. A commissioning method for an industrial device includes: determining application type of the industrial device; displaying at least one macro relevant to the application type determined for a user to choose. A displayed macro includes a set of defined parameters of the industrial device relevant to the application type determined. Finally, the commissioning method includes receiving the choice of the user on macro.

An ultra-high speed electronic communications device includes: a network communications interface; a memory; and one or more processing units, communicatively coupled to the memory and the network communications interface, wherein the memory stores instructions configured to cause the one or more processing units to: receive a data packet using the network communications interface; determine a classification of the data packet based, at least in part, on a plurality of factors, wherein the plurality of factors comprises a rate at which the data packet was received and a time at which the data packet was received; select, based at least in part, on the classification, an operation from a plurality of operations, wherein the plurality of operations comprises a cut-through operation and a store-and-forward operation; and perform the selected operation.

An ultra-high speed electronic communications device includes: a network communications interface; a memory; and one or more processing units, communicatively coupled to the memory and the network communications interface, wherein the memory stores instructions configured to cause the one or more processing units to: receive a data packet using the network communications interface; determine a classification of the data packet based, at least in part, on a plurality of factors, wherein the plurality of factors comprises a rate at which the data packet was received and a time at which the data packet was received; select, based at least in part, on the classification, an operation from a plurality of operations, wherein the plurality of operations comprises a cut-through operation and a store-and-forward operation; and perform the selected operation.

A method and technical module in a technical installation, which includes at least one technical function and which is configured for integration into a higher-level control level of the technical installation, wherein functional rights relating to the at least one technical function are stored in the technical module.

Disclosed is a computer-implemented method for generating a prediction model. The model can be for use in processing machine event data to predict behavior of a plurality of industrial machines under supervision. The prediction model can be configured to determine current and future states of the industrial machines. The method can include: extracting event features from event codes and structuring the event features into feature vectors; and generating the prediction model by clustering the feature vectors into a plurality of vector clusters, the vector clusters being assigned to respective machine states. The prediction model can be constructed based on event data from a first industrial machine and be applied to control an operating state of a second industrial machine.

Approaches for using a device-based authentication certificate to obtain data access to a cloud-based destination application are provided. Using an edge manager device, a token and data access request is received from a machine. The edge manager device is configured to administer data access to one or more cloud-based applications.

A method and technical module in a technical installation, which includes at least one technical function and which is configured for integration into a higher-level control level of the technical installation, wherein functional rights relating to the at least one technical function are stored in the technical module.

Disclosed is a method for generating a prediction model. The model can be used in processing machine event data to predict behavior of a plurality of industrial machines under supervision. The prediction model can be configured to determine current and future states of the industrial machines. The method can include extracting event features from event codes and structuring the event features into feature vectors. A first dimension of a first feature vector corresponds to a first event feature, and a second dimension of the first feature vector corresponds to a second event feature. The method can also include generating the prediction model by clustering the feature vectors into a plurality of vector clusters, the vector clusters assigned to respective machine states. The prediction model can be constructed based on event data from a first industrial machine and be applied to control an operating state of a second industrial machine.

An ultra-high speed electronic communications device includes: a network communications interface; a memory; and one or more processing units, communicatively coupled to the memory and the network communications interface, wherein the memory stores instructions configured to cause the one or more processing units to: receive a data packet using the network communications interface; determine a classification of the data packet based, at least in part, on a plurality of factors, wherein the plurality of factors comprises a rate at which the data packet was received and a time at which the data packet was received; select, based at least in part, on the classification, an operation from a plurality of operations, wherein the plurality of operations comprises a cut-through operation and a store-and-forward operation; and perform the selected operation.

A machine segment in an industrial control system, comprising (1) a control system comprising at least a logic controller and safety controller; (2) safety components; (3) motors; and (4) input/output devices. In particular embodiments: (1) the control system is in network communication with a neighboring machine segment via a first network connection; (2) the safety controller is in network communication with a neighboring machine segment safety controller via a second network connection; (3) the logic controller receives input/output data from the input/output devices and transmit it directly to the neighboring machine segment; (4) the logic controller receives second input/output data from the neighboring machine segment; (5) the logic controller receives identifying data for the neighboring machine segment; and (6) the logic controller controls operation of each of the motors based on one or more of the input/output data, the second input/output data, or the identifying data.