A method for automatically testing a relay is provided. The method includes applying power to a testing device for automatically testing the relay, determining a position of a selector switch based on a user selection for testing, selectively energizing the relay based on the position of the selector switch, detecting, by a hardware processor, an energize status signal from the selector switch, testing, by the hardware processor and based at least on the energize status signal, a control coil or a contact of the relay to generate a test result, and displaying, using display, the energize status signal and the test result.

A method for automatically testing a relay is provided. The method includes applying power to a testing device for automatically testing the relay, determining a position of a selector switch based on a user selection for testing, selectively energizing the relay based on the position of the selector switch, detecting, by a hardware processor, an energize status signal from the selector switch, testing, by the hardware processor and based at least on the energize status signal, a control coil or a contact of the relay to generate a test result, and displaying, using display, the energize status signal and the test result.

Systems and methods for controlling industrial an industrial plant comprise: inputting an engineering diagram for a unit of the industrial plant, the engineering diagram including symbols representing assets of the industrial plant; extracting one or more assets from the engineering diagram using machine learning to recognize the one or more assets, the one or more assets including equipment, instruments, connectors, and lines, the lines relating the equipment, instruments, and connectors to one another; determining one or more relationships between the equipment, instruments, connectors, and lines to one another using machine learning to recognize the one or more relationships; and creating a flow graph from the equipment, instruments, connectors, and lines and the relationships between the equipment, instruments, connectors, and lines.

Systems and methods for controlling industrial process automation and control systems can automatically, through the use of machine learning (ML) models and algorithms, extract plant assets from engineering diagrams and other plant engineering data sources. The systems and methods can establish asset relationships to create a plant asset registry and build an asset hierarchy from the plant assets. The systems and methods can generate an ontological knowledge base from the plant asset hierarchy, and provide an HMI for controlling the industrial process based on the plant asset hierarchy and the ontological knowledge base.

Systems and methods for detecting and predicting faults in an industrial process automation system use trend data to forecast alerts and allow action to be taken before a problem occurs. The systems and methods provide fault/failure predictions that improve over time as more empirical data is collected for a related set of system components. The systems and methods may identify relationships among the components of a process automation system; identify and collect changes to system configuration; identify and collect data to inform reliability and predictive models; develop a domain-specific predictive model for one or more components that allows for component-based failure or degradation prediction; develop a system-predictive model that leverages reliability and criticality relationships, component-based predictions and operating parameters to predict the health of a part of or the entire process automation system; deliver a prioritized alert system; and identify root-cause failures of a component.

Systems and methods for controlling industrial process automation and control systems can automatically, through the use of machine learning (ML) models and algorithms, extract plant assets from engineering diagrams and other plant engineering data sources. The systems and methods can establish asset relationships to create a plant asset registry and build an asset hierarchy from the plant assets. The systems and methods can generate an ontological knowledge base from the plant asset hierarchy, and provide an HMI for controlling the industrial process based on the plant asset hierarchy and the ontological knowledge base.

Various embodiments include systems and/or methods for executing a workflow task across control objects. An example method includes: receiving, from a programming tool, workflow description data associated with a workflow task executed across at least one control object; extracting, from the workflow description data, a workflow task model associated with the at least one control object; generating, on the basis of the workflow task model, a text-based script for realizing the workflow task; and interpreting and executing the script using a script engine.

A medical device for diagnosis or treatment of tissue is disclosed. The device includes an electronically-controlled tool configured for diagnosis or treatment, an electrical connector, and a computer readable memory. The electrical connector is configured for connection with an electronic control unit and configured to receive control signals, including signals concerning the operation of the tool, from the electronic control unit. The computer readable memory is accessible through the connector. The memory can include a set of programming instructions for control of the tool, and the programming instructions can be configured to be downloadable from the memory upon connection of the electrical connector with the electronic control unit. A system is also disclosed in which the electronic control unit is configured to transmit a data log from memory in the electronic control unit to the memory in the medical device upon the occurrence or detection of a predetermined event.

A safety relay configuration system for configuring safety functions to be carried out by a safety relay is provided. The configuration system comprises a number of features that facilitate intuitive and simplified configuration of an industrial safety relay, including but not limited to features that guide the user through the configuration process using an intuitive sequential procedure that provides feedback and prompts based on user interaction, enforce design consistency throughout the configuration project by intelligently limiting user selections, and visually organize configuration and status information in a manner that efficiently utilizes display space and allows the user to quickly evaluate available configuration options.

A medical device for diagnosis or treatment of tissue is disclosed. The device includes an electronically-controlled tool configured for diagnosis or treatment, an electrical connector, and a computer readable memory. The electrical connector is configured for connection with an electronic control unit and configured to receive control signals, including signals concerning the operation of the tool, from the electronic control unit. The computer readable memory is accessible through the connector. The memory can include a set of programming instructions for control of the tool, and the programming instructions can be configured to be downloadable from the memory upon connection of the electrical connector with the electronic control unit. A system is also disclosed in which the electronic control unit is configured to transmit a data log from memory in the electronic control unit to the memory in the medical device upon the occurrence or detection of a predetermined event.