A personal computer for setting of parameters of a machine tool acquires adjusted parameters, adjusted by a numerical controller or a simulator, from the numerical controller or the simulator, makes a comparison between an axis configuration of the machine tool set up by a user and an axis configuration of the adjusted parameter adjusted by the numerical controller or the simulator, and converts the axis configuration of the adjusted parameters into the axis configuration set up by the user.

Described are platforms, systems, and methods for mapping data found in connected equipment from a manufacturer's selected schema, format, and protocol to a normalized data model. The platforms, systems, and methods identify a plurality of data sources associated with an automation environment; retrieve data from at least one of the identified data sources; generate a plurality of data source mapping profiles, each data source mapping profile specific to a particular data source configuration; maintain a data store comprising the plurality of data source mapping profiles; select a data source mapping profile specific to the at least one identified data source configuration; and apply an algorithm to map the retrieved data to a predetermined ontology based on the selected data source mapping profile for the at least one identified data source.

Described are platforms, systems, and methods to discover subtended devices through introspection of executive or supervisory controllers. The platforms, systems, and methods maintain a plurality of introspection directives, each introspection directive comprising a sequence of instructions specific to a communications protocol, the sequence of instructions comprising instructions to send at least one command to at least one controller associated with an automation environment in accordance with the communications protocol, instructions to receive a response to the at least one command, and instructions to parse the response; identify an appropriate introspection directive for the at least one controller; and execute the sequence of instructions with respect to the at least one controller to perform operations comprising: sending at least one command to at least one controller; receiving a response; and parsing the response.

Described are platforms, systems, and methods for real-time enrichment of vertices, edges, and related data within a graph database. The platforms, systems, and methods maintain a graph database comprising a representation of a current state of an automation environment comprising a plurality of data sources, wherein the data sources are represented as vertices in the graph database and relationships between the individual data sources are represented as edges in the graph database; operate a plurality of software agents, each software agent configured to perform operations comprising: applying an algorithm to identify patterns in the graph database; and generating a specific data enrichment based on one or more identified patterns; and contribute the generated data enrichment back to the graph database.

Described are platforms, systems, and methods to discover relationships among equipment in automated industrial or commercial environments by cycling each individual piece of equipment while observing sensors in all other equipment in order to measure how each part reacts to each other part. The platforms, systems, and methods identify a plurality of data sources associated with an automation environment; issue one or more commands to cycle a current data source in the a plurality of data sources; monitor the automation environment for events or state changes in the data sources; detect one or more events or one or more state changes in one or more other data sources in the a plurality of data sources; and determine one or more relationships between the current data source and the one or more other data sources.

Described are platforms, systems, and methods to automatically discover, extract, map, merge, and enrich data found in on-premises in automated industrial and commercial environments and cloud systems for purposes of providing developers access to normalized, merged, and enriched data through an API. The platforms, systems, and methods identify a plurality of data sources associated with an automation environment; retrieve data from at least one of the identified data sources; apply a first algorithm to map the retrieved data to a predetermined ontology; merge the mapped data into a data store comprising timeseries of the mapped data; apply a second algorithm to identify patterns in the merged data and enriching the data based on one or more identified patterns; and provide one or more APIs or one or more real-time streams to provide access to the enriched data.

Described are platforms, systems, and methods to discover relationships among equipment in automated industrial or commercial environments by looking for synchrony in state changes among the equipment. The platforms, systems, and methods identify a plurality of data sources associated with an automation environment; detect one or more events or one or more state changes in the data sources; store the detected events or state changes; detect synchrony in the detected events or state changes by performing operations comprising: identifying combinatorial pairs of data sources having an event or state change within a predetermined time window; and conducting pairwise testing for each identified combinatorial pair of data sources by applying an algorithm to the stored detected events or state changes; and determine one or more relationships for at least one identified combinatorial pair of data sources.

The invention relates to a method for configuring a drive system for a technical device, wherein: the technical device consists of at least one module; the drive system is composed of a plurality of components; the components of the drive system are selected from a large number of possible component types; each selectable component type is allocated a component type data object in a data storage device, said component type data object containing component type data about the properties, more particularly the technical properties, of the component type. In a data storage device, module type data objects are stored that are allocated to module types, wherein the module type data objects contain module type data about the properties, more particularly the technical properties, of the module types. First, the module type of the at least one module which makes up the technical device is selected by a user via a user interface, and then a module data object allocated to the module is generated by means of a data processing device, said module data object containing module data about the properties, more particularly the technical properties, of the module type of the at least one module, and, on the basis of the module data, the component type of at least one component of the drive system is selected.

A power device discovery and visualization system identifies and categorizes smart power and energy devices deployed within an industrial enterprise, and generates interfaces that render customized presentations of a plant's power and energy usage based on data retrieved from the discovered devices. The system also facilitates remote configuration of the discovered smart devices via interaction with a single consolidated interface that affords access to all discovered power and energy devices. The system constructs a device profile for each discovered smart device based on information retrieved from the device, and categorizes each discovered device according to device type (e.g., power meter, IED, VFD, controller, etc.). The system retrieves available historical, real-time, and/or configuration data from each discovered smart device and makes this data available for viewing or modification via the system interface, thereby unifying plantwide power and energy data into a common presentation.

An input error detection device can detect an input error based on input values input in the past and the trend of values from the view point of the whole of a control program. In order to detect an error in inputting a value used to control a manufacturing machine, the input error detection device is provided with a histogram creation unit configured to create a histogram, based on a set of values used to control the manufacturing machine, and a determination unit configured, based on the histogram, to determine input errors of the values used to control the manufacturing machine.