Abstract:
A smart gateway platform leverages pre-defined industrial expertise to identify limited subsets of available industrial data deemed relevant to a desired business objective, and to collect and model this relevant data to apply useful constraints on subsequent artificial intelligence or machine learning analytics applied to the data. This approach can reduce the data space to which AI analytics are applied, and assist data analytic systems to more quickly derive valuable insights and business outcomes. In some embodiments, the smart gateway platform can operate within the context of a multi-level industrial analytic system, feeding pre-modeled data to one or more AI or machine learning systems executing on one or more different levels of an industrial enterprise.
Abstract:
A cloud gateway for coupling an industrial system to a cloud platform is provided. The cloud gateway collects data from one or more industrial controllers, meters, sensors, or other devices comprising an industrial automation system. The cloud gateway optionally performs additional transformations on the data to add context, summarize, filter, reformat, and/or encrypt the data. The cloud gateway then sends data to a cloud platform for use by one or more cloud-based applications or services. The cloud gateway can facilitate cloud-based data collection from both fixed-location and mobile industrial systems. The cloud gateway can also support store-and-forward logic, allowing industrial data to be temporarily stored in local storage in the event that communication between the cloud gateway and the cloud platform is disrupted.
Abstract:
A cloud-based industrial application provisioning system is provided. The industrial application provisioning system can reside on a cloud platform and be made available to developers and end users with access privileges to the cloud platform. Application developers can publish industrial applications to an application library on the cloud platform, where the application is cataloged within an industry-specific search hierarchy. A search engine allows a user to access the cloud platform and search for a desired industrial application. The library's hierarchical catalog allows the user to search for applications according to industry type, equipment in use, automation system type, or other suitable criteria.
Abstract:
A cloud gateway for coupling an industrial system to a cloud platform is provided. The cloud gateway collects data from one or more industrial controllers, meters, sensors, or other devices comprising an industrial automation system. The cloud gateway optionally performs additional transformations on the data to add context, summarize, filter, reformat, and/or encrypt the data. The cloud gateway then sends data to a cloud platform for use by one or more cloud-based applications or services. The cloud gateway can facilitate cloud-based data collection from both fixed-location and mobile industrial systems. The cloud gateway can also support store-and-forward logic, allowing industrial data to be temporarily stored in local storage in the event that communication between the cloud gateway and the cloud platform is disrupted.
Abstract:
A library of cloud templates for configuring cloud-based industrial solutions is provided. A cloud template provisioning system provides a platform for location and retrieval of a variety of cloud templates that facilitate configuration of cloud-based industrial applications, including control panel templates, dashboard templates, data historian templates, virtual machine management templates, and other such templates. The cloud templates can be installed and executed on a client device to provide an intuitive interface for configuring various aspects of the cloud-based solution.
Abstract:
A cloud-based operator interface system is provided that runs as a cloud service on a cloud platform. The cloud-based operator interface system collects industrial data from one or more industrial systems via respective cloud gateway devices. A set of predefined operator interface screens are stored on cloud storage associated with the operator interface system, and delivered to authorized Internet-capable client devices upon request. The industrial data received from the cloud gateways can be delivered to the client devices from the cloud platform via the operator interface screens. Additional cloud-side services can correlate and analyzes the industrial data on the cloud platform to facilitate additional reporting, alarming, and notification features.
Abstract:
A cloud-capable industrial device that provides time-stamped industrial data to a cloud platform is provided. The industrial device collects or generates industrial data in connection with monitoring and/or controlling an automation system, and includes a cloud interface that couples the industrial device to one or more cloud-based services running on a cloud platform. The industrial device can apply time stamps to respective items of industrial data reflecting a time that the data was measured or generated prior to providing the data to the cloud platform. To accurately reflect temporal relationships between data sets provided to the cloud platform from different locations and time zones, the industrial device can synchronize its internal clock with a clock associated with the cloud platform.
Abstract:
Systems and methods that facilitate messaging capabilities within a unified plant model (UPM) via employing a plurality of core messaging primitives for configuration of messages that interact with a message engine of the industrial plant. In a related aspect, initially messaging host modules can be located on a network and associated policies identified. Next, data type ID and name syntax can be defined and unique UPM system identifiers generated by the system.
Abstract:
A cloud-based product tracking system is provided. The product tracking system runs on a cloud platform and collects data from multiple devices throughout a supply chain, the data relating to production, transportation, storage, and sales of a product. Related subsets of the collected data are aggregated and correlated at the cloud platform based on contextual metadata associated with the data, a data model of the supply chain and systems therein, or other such factors. The cloud-based tracking system analyzes the correlated information to determine a status of a product within the supply chain. The tracking system also leverages the correlated data to analyze product flow, identify inefficiencies within the supply chain, and generate recommendations for modifying portions of the supply chain to mitigate the identified inefficiencies.
Abstract:
A cloud-based industrial data services (IDS) architecture leverage smart tags, asset models, and data service applications to facilitate secure transaction and exchange of contextualized factory data between different parties as part of a combined technology and commerce platform, or to perform provide asset owners with insights into operation of their industrial assets. The IDS platform supports a set of services that connect providers of smart industrial devices to plant floor and systems owned by the end users of these devices. The cloud-based platform allows asset providers to publish data service applications for purchase and use by end users of their assets, and allows equipment owners to control remote access to selected sets of their industrial data via the cloud platform.