Abstract: Some embodiments described in this disclosure are directed to a system for determining a deficit or surplus in green energy for use in an industrial process. In some embodiments, the system is configured to predict future available green energy using weather forecasts. In some embodiments, the system is configured to model power demand for an industrial process and determine whether a green energy source such as solar and/or wind will be able to meet the power demand. In some embodiments, the system is configured to suggest alternate energy sources for purchase to make up for a green energy deficit. In some embodiments, the system is configured to suggest a best time to buy or sell energy to optimize a profit or loss.

Abstract: Artificial Intelligence-assisted building/execution of federated data layer for enterprise engineering: A system trains at least one machine-learning model to identify information about industrial assets from training data, then map the information to a federated data model. The system retrieves information about data from an application in an industrial asset. The at least one machine-learning model identifies types of the data, relationships between the data, and patterns of the data, from the information and based on data types, data relationships, and data patterns in the federated data model. The at least one machine-learning model maps the types of the data, the relationships between the data, and the patterns of the data to the federated data model. The system identifies knowledge about the types of the data, the relationships between the data, and/or the patterns of the data in the federated data model, in response to a query about data.

Abstract: Data provided by external sources is visualized. A user interface for a data visualization platform receives a query from a client, and forwards it to an application programming interface for an internal data source provider. The application programming interface (“API”) forwards the query to a retrieval service, which identifies an external data source provider specified by a tag in the query and forwards the query to the external data source provider. The retrieval service retrieves a content stream from the external data source provider in response to the query being enhanced by a retrieval mode supported by the external data source provider or the retrieval service. The retrieval service processes the content stream, including identifying a format of the content stream, and forwards the processed content stream to the API, which forwards the processed content stream to the user interface, which visualizes the processed content stream on the client.

Abstract: The disclosure describes a system for executing schedules in a manufacturing execution system (MES). In some embodiments, the system is configured to enable multiple shift patterns to be entered for a single entity. In some embodiments, the system is configured to prioritize the shift patterns based on an execution time. In some embodiments, the system includes one or more of a schedule pattern table, a schedule template, and an entity table, which are linked to each other to define parameters of one or more schedules. In some embodiments, the system is configured to automatically assign a time zone the time entered that matches the time zone where the entity associated with the schedule is located.

Abstract: In some embodiments, the disclosure is directed to systems and methods for automatically generation multiple topic-payload with different formats using a single instance of a topic-payload hard coded into an MQTT client. In some embodiments, the system is configured to allow a user to alter the output of an MQTT client while the MQTT program is executing in a runtime environment. In some embodiments, the system includes instructions hard coded into the MQTT client that cause the client to communication with a transformation module not executing in the runtime environment. In some embodiments, instructions stored on the transformation module can be updated and referenced during a publish and/or subscribe operation. In some embodiments, the MQTT client includes one or more of a publisher, a broker, and a client.

Abstract: Data provided by external sources is visualized. A user interface for a data visualization platform receives a query from a client, and forwards it to an application programming interface for an internal data source provider. The application programming interface (“API”) forwards the query to a retrieval service, which identifies an external data source provider specified by a tag in the query and forwards the query to the external data source provider. The retrieval service retrieves a content stream from the external data source provider in response to the query being enhanced by a retrieval mode supported by the external data source provider or the retrieval service. The retrieval service processes the content stream, including identifying a format of the content stream, and forwards the processed content stream to the API, which forwards the processed content stream to the user interface, which visualizes the processed content stream on the client.

Abstract: An artificial intelligence search engine integrates engineering knowledge and three-dimensional routing space treatment. A graphical user interface (GUI) prompts a user to input starting and ending points corresponding to conduits of a specified type, via an interactive three-dimensional model of a space in an industrial plant. The artificial intelligence search engine determines an optimal path from multiple three-dimensional path options corresponding to each conduit, based on a design constraint and/or objective. A machine-learning model modifies the optimal path options, based on previous user actions responding to previous optimal path options. The GUI displays the modified path options via the interactive three-dimensional model of the space. A natural language processor executes to: i) query engineering information, ii) operate the artificial intelligence search engine to generate design options, iii) deploy user-selected options, or iv) adapt the modified path options, in response to user actions.

Abstract: A system for automatically associating an image with an asset tag which includes a historian server system. A path command is sent to a mobile asset, the path command comprising instructions that enable the mobile asset to travel along a path to an instrumented asset. A collection command is sent to the mobile asset to collect asset data comprising a digital representation of the instrumented asset and send the asset data to one or more computers. The asset data can also comprise an instrument asset identification, one or more instrument data values indicative of a physical parameter of the instrumented asset, and a time stamp comprising an approximate time of collection command execution. The system generates a tag value comprising an asset link between the one or more instrument data values, the instrument identification, and the time stamp.

Abstract: An artificial intelligence digital assistant that retrieves and consolidates data from diverse sources is described. After a system initiates a response to an information request received from a user, a language model generates a high-dimensional vector that represents the information request from the user. The language model identities data access tools that access corresponding data types identified for the information request. The system executes the identified data access tools that retrieve, from corresponding data sources, data values from corresponding data records represented by corresponding unique high-dimensional vectors that have similarities, which exceed a confidence level, to the high-dimensional vector that represents the information request. The system sends a consolidation of the data values in the response to the user.

Abstract: A novel system includes an intelligent process anomaly detection and trend projection system which is configured to train artificial intelligence and machine learning systems for anomaly prediction in industrial systems according to some embodiments. In some embodiments, such intelligent process anomaly detection and trend projection system is configured to determine an estimated remaining useful life of an industrial asset. For example, in some embodiments, the system is configured to identify a degradation part of the signal and a normal part of the signal; separate the degradation part of the signal from the normal part of the signal; identify one or more patterns of a degradation part of the signal and the normal part of the signal; and determine an anomaly prediction based on the one or more patterns.

Abstract: A system extracts procedure content from a procedure in a source format in a source document. The system identifies, in the procedure content, first section content in a first section and second section content in a second section. The system identifies, in a template for the procedure, a primary section that corresponds to the first section in the source document, and a secondary section that corresponds to the second section in the source document, The system transforms the first section content from the source format into first transformed content in a target format for the primary section and the second section content from the source format into second transformed content in a target format for the secondary section. The system stores the first transformed content and the second transformed content as part of a standardized format procedure in a procedure repository, and provides user access to the standardized format procedure.

Abstract: A simulation tool executing a simulation model and a generating an automated dialog associated therewith. The automated dialog comprises a bot configured for interacting with a user, wherein the dialog is displayed to the user. The bot is integrated with a set of rules that are referenced as a function of input received from the user for furthering the dialog and making a recommendation about the process simulation. In certain embodiments, the simulation tool is configured to select a thermodynamic method for use in a process simulation as a function of the set of rules and the user input.

Abstract: Operational historian system retrieving summary data values and source data values based on alignment between a summarization cycle duration and a query cycle duration. A retrieval service process executing on a historian device utilizes a summarization cycle duration, including start and/or end times thereof, and a query cycle duration, including start and/or end times thereof, to determine whether to retrieve, via a communications network, source tag data and/or summary tag data from memory storage devices.

Abstract: Forecasting industrial asset failures is described. A system determines a data start value associated with an industrial asset at a data start time. The system determines a data end value associated with the industrial asset at a data end time. The system estimates a failure time when a trend projected from the data start value through the data end value will reach a failure limit value. The system determines a distance to failure based on the failure limit value and the data end value. The system outputs a failure forecast, associated with the failure time and the distance to failure, for the industrial asset.

Abstract: Visualization software that enables creating custom interfaces in operator-machine interface applications is described. A system enables a user to define a script that includes custom logic and to identify corresponding data. The system configures an operator-machine interface application to execute the user-defined script at runtime, and deploys the user-defined script to a cloud platform. The operator-machine interface application subscribes to an attribute value associated with the user-defined script. The user-defined script executes a part of the custom logic, thereby retrieving the identified data via an application programming interface, transforming the retrieved data to a format used for display; and writing the formatted data to the attribute value. The operator-machine interface application displays content based on the subscribed attribute value.

Abstract: In some embodiments, the system includes a virtual reality environment that includes a digital twin of at least a portion of a physical industrial environment. In some embodiments, the system is configured to change the virtual reality environment based on changes in the physical industrial environment. In some embodiments, the changes are received by the system through sensors such as temperature and/or pressure sensors, as non-limiting examples. In some embodiments, the changes in the physical environment are detected through the analysis of images. In some embodiments, the system is configured to use artificial intelligence to detect the changes. In some embodiments, the system is configured to predict the effect of changes in the virtual and/or physical environment on other system components through variable changes in virtual models. In some embodiments, the system is configured to display the effects in the virtual environment before they are implemented in the physical environment.

Abstract: The disclosure is directed to a novel system and methods for modeling process components using segmental analysis. As opposed to analyzing the entire system at once, each element representing a process component is assigned parameter inputs that enable the system to determine a current state. Changes in the element's parameter inputs are fed in a bi-directional manner to other elements connected by segments where the other elements use the parameter inputs to determine a predictive or current process condition that are used as new parameter inputs for the next element. In some embodiments, the system allows for the prevention of component state change with only a portion of the entire process being solved, as abnormal conditions can be detected without solving for the entire system.

Abstract: Disclosed are systems and methods for improving interactions with and between computers in content providing, displaying and/or hosting systems supported by or configured with devices, servers and/or platforms. The disclosed systems and methods provide a novel framework that enables multiple, alternate hierarchies to be organized, restructured and/or created based on the same set of assets, with each of the hierarchies being ontologically different and catering to wide variety of relationships that can exist between assets. The framework configures and displays a hierarchical representation of assets, along with various properties of each asset, within a dynamically generated and displayed interface. The framework's visualization and analysis can be modified in response to a request, where dependent on the type of request or type of action included in the request, a restructuring of a hierarchy or new generation of a hierarchy can be realized and displayed.

Abstract: Some embodiments include a system and method of providing a historian that receives operational state data from a device of an industrial process of a network, where the operational state data is stored as time-series data, and processing at least one data query from at least one user coupled to the network. Based at least in part on the at least one data query and at least one dynamic cycle, at least some of the time-series data is retrieved, where the dynamic cycle is based on at least one tag associated with the time-series data. Further, based at least in part on at least some of the time-series data, at least one graphical representation of one or more tags is displayed, where each tag of the one or more tags represents an attribute of at least one process associated with the at least one device.

Abstract: The present disclosure is directed to systems and methods for protecting software application information that is passed between a caller of an API and the logic contained within the API by using a Secure Calling Convention (SCC). The SCC involves performing a cryptographic operation on the information such that the true nature of the information is obfuscated. The SCC prevents a hacker from using the information to reverse-engineer the software application to behave as desired.