An industrial information hub (IDH) serves as a single industrial ecosystem platform where multiple participants can deliver repeatable and standardized services relevant to their core competencies. The IIH system is centered around the development of an ecosystem that creates and delivers value to users—including industrial enterprises, OEMs, system integrators, vendors, etc.—through the aggregation of digital content and domain expertise. The IIH system serves as a trusted information broker between the ecosystem and the OT environments of plant facilities, and provides a platform for connecting assets, contextualizing asset data and providing secure access to the ecosystem. Additionally, the IIH system provides tools and support to OEMs and other subject matter experts, allowing those experts to enable their digital assets for use in the ecosystem. The IIH system reduces the cost and risks for digital modeling of industrial assets.

An automation system, a method and an apparatus for suggesting and/or creating an agent in an industrial automation system that includes automation devices having a framework which is formed to execute the agent and which at least partially includes a data source that collects and/or processes data of the automation devices, and includes a data sink, in which data, in particular status data, of the data sources is saved, wherein an agent suggestion component processes data of the data sink into clusters via a cluster analysis, and wherein the agent suggestion component makes the clusters available at an interface such that a model for the agents becomes creatable by an agent generation component based on at least one selection of the clusters such that it becomes possible to suggest and/or create agents in a simpler and more efficient manner.

A system is provided for measurement data management in a distributed environment. The system comprises at least one storage system adapted to obtain raw measurement data or intermediate results from at least one measurement site via a network. In addition, the system further comprises a database, operatively connected to the said storage system, adapted to be accessed remotely by the measurement site via the network. The storage system or the measurement site is further adapted to perform successive processing steps on the raw measurement data along a process chain in order to generate measurement results, whereby associating metadata with the raw measurement data and with the measurement results. In this context, the metadata associated with each measurement result of the successive processing steps is provided with a new reference as well as a reference to the reference of the measurement result from the preceding processing step.

A manufacture parameters grouping and analyzing method, and a manufacture parameters grouping and analyzing system are provided. The manufacture parameters grouping and analyzing method includes the following steps: A plurality of process factors are classified into a plurality of groups. In each of the groups, an intervening relationship between any two of the process factors is larger than a predetermined correlation value. In each of the groups, at least one representative factor is selected from each of the groups according to a plurality of outputting relationships of the process factors related to an output factor or a plurality of sample amounts of the process factors. Finally, the representative factor is used for various applications.

The production management support system analyzes, on the basis of one or more attentional perspectives on a plurality of different models of products, past record information that includes information as a past record which shows, for each product loaded in a production system in which the plurality of different models of products are loaded and a sequential order of two or more of a plurality of steps is different depending on the model, an execution time of each of the steps and that serves as a basis for a production management chart showing a production situation, to detect, among display objects displayed in the production management chart, a display object satisfying one or more requirements associated with the one or more attentional perspectives. The system performs accentuated display on at least one of the detected display objects.

A method includes obtaining parameter values for multiple process variables associated with at least one industrial process, where the parameter values for each process variable include low and high limits and a current value. The method also includes presenting a graphical display that includes radial lines each associated with a different one of the process variables, a first graphical indicator passing through the radial lines and identifying the low limits of the process variables, a second graphical indicator passing through the radial lines and identifying the high limits of the process variables, and third graphical indicators identifying the current values of the process variables along the radial lines.

Industrial automation data quality and analysis (e.g., using a computerized tool) is enabled. For example, a system can comprise: a memory that stores executable components, and a processor, operatively coupled to the memory, that executes the executable components, the executable components comprising: a device interface component that retrieves industrial data from an industrial device represented in an industrial asset model, wherein the industrial data comprises control data applicable to the industrial device and timestamp data generated by the industrial device concurrently with the control data, a quality component that, based on the control data and the timestamp data, determines a quality indicator applicable to the control data, and an output component that, based on the quality indicator, generates an output representative of a quality of the control data.

Industrial automation data staging and transformation (e.g., using a computerized tool) is enabled. For example, a system can comprise: a memory that stores executable components, and a processor, operatively coupled to the memory, that executes the executable components, the executable components comprising: a model condition component that determines whether a defined data connection condition, applicable to an industrial asset model, has been satisfied, and a device interface component that in response to the defined data connection condition being determined to be satisfied, determines an industrial data source that comprises industrial data associated with the defined data connection condition, sends a request to the industrial data source determined to comprise the industrial data to provide the industrial data in a second data format determined to be compatible with the industrial asset model, and retrieves the industrial data from the industrial data source, wherein the industrial data has been converted by the industrial data source from a first data format to the second data format.

One embodiment includes a method for simulating an operational effect of one or more changes in a CIP process. The method includes providing a graphical user interface configured to receive inputs from a user, receiving at least one proposed adjustment to one CIP phase of the CIP process, and generating a simulated CIP process based on a first set of CIP data and the at least one proposed adjustment to generate simulated CIP data based on the simulated CIP process. The simulated CIP data is displayed on the display. The simulated CIP data includes at least one of the amount or the total cost of each consumable used to generate the simulated CIP data. A total cost of the simulated CIP process is calculated, where the total cost of the simulated CIP process incorporates the proposed adjustment.

Data can be rapidly and flexibly converted. A data conversion apparatus stores monitoring target management information in which a monitoring target is associated with a controller type representing a type of a controller configured to control the monitoring target, and data conversion rule information in which a data set in units of the controller type is registered, the data set in units of the controller type defining a conversion rule indicating a data conversion method for the controller type. A calculation unit loads the data conversion rule information into the cache memory, specifies a monitoring target corresponding to data received from an edge device, specifies a controller type corresponding to the specified monitoring target by referring to the monitoring target management information, reads a conversion rule corresponding to the specified controller type from the cache memory, and converts the data using the conversion rule.