Abstract:
Cloud-aware industrial devices feed robust sets of data to a cloud-based data analyzer that executes as a service in a cloud platform. In addition to industrial data generated or collected by the industrial devices, the devices can provide device profile information to the cloud-based analyzer that identifies the device and relevant configuration information. The industrial devices can also provide customer data identifying an owner of the industrial devices, contact information for the owner, active service contracts, etc. The cloud-based data analyzer leverages this information to perform a variety of custom analytics on the data and generate reports or notifications catered to the particular industrial assets' optimal performance and business goals of the owner's industrial enterprise, as well as perform real-time decision making and control.
Abstract:
A cloud-aware smart device that facilitates automated configuration and integration of the device within an automation system is provided. Upon installation within the automation system, the smart device determines its geographical location, identifies other devices on the system, and determines its role within the system. The smart device then establishes communication with a cloud platform running one or more cloud-based applications or services and sends a device profile containing the gathered information to the cloud platform. The device profile can be used to automatically configure the device for operation within the system or to add the smart device to an existing cloud-based application.
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:
Cloud-aware industrial devices feed robust sets of data to a cloud-based data analyzer that executes as a service in a cloud platform. In addition to industrial data generated or collected by the industrial devices, the devices can provide device profile information to the cloud-based analyzer that identifies the device and relevant configuration information. The industrial devices can also provide customer data identifying an owner of the industrial devices, contact information for the owner, active service contracts, etc. The cloud-based data analyzer leverages this information to perform a variety of custom analytics on the data and generate reports or notifications catered to the particular industrial assets' optimal performance and business goals of the owner's industrial enterprise, as well as perform real-time decision making and control.
Abstract:
A cloud-compatible industrial device is provided. The industrial device generates or collects raw 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. To reduce consumption of cloud-based resources such as bandwidth and storage utilization, the industrial device can transform the raw industrial data into refined data that is amenable for cloud-based storage, computing, or analysis. Exemplary transformations include filtering, pruning, re-formatting, compressing, summarizing. In one or more embodiments, the industrial device can also add contextual metadata to the raw data prior to delivery to the cloud.
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:
An apparatus to predict future behavior of devices in an industrial automation environment is provided. The apparatus includes a non-transitory computer-readable storage medium configured to store program instructions, and program instructions stored on the non-transitory computer-readable storage medium. The program instructions direct a processor within a stream-based processing system to receive a first raw data stream from a first manufacturing data source, and to analyze the first raw data stream with respect to behavior data corresponding to the first manufacturing data source. The program instructions also direct the processor to predict future behavior of one or more device associated with the first manufacturing data source, based on the analysis of the first raw data stream and the behavior data corresponding to the first manufacturing data source, and to perform an action based on the predicted future behavior of the one or more device.
Abstract:
Cloud-aware industrial devices feed robust sets of data to a cloud-based data analyzer that executes as a service in a cloud platform. In addition to industrial data generated or collected by the industrial devices, the devices can provide device profile information to the cloud-based analyzer that identifies the device and relevant configuration information. The industrial devices can also provide customer data identifying an owner of the industrial devices, contact information for the owner, active service contracts, etc. The cloud-based data analyzer leverages this information to perform a variety of custom analytics on the data and generate reports or notifications catered to the particular industrial assets' optimal performance and business goals of the owner's industrial enterprise, as well as perform real-time decision making and control.
Abstract:
A cloud-based risk assessment service collects industrial data from multiple relevant and connected sources for storage and analysis on a cloud platform. The service analyzes gathered data from internal and external sources and customers across different industries to identify operational trends as a function of industry type, application type, equipment in use, device configurations, and other such variables. Based on the analysis, the risk assessment service identifies risk factors inherent in a customer's particular industrial enterprise. The cloud-based system generates a risk profile for the customer that identifies the determined risks and recommends risk aversion strategies based on the customer's specific profile, compared to industry standards, product information, internal business expectations, external regulatory bodies, and/or past performance. Risk profiles are tailored for both plant-level users and business-level users to provide intelligent strategies to improve performance and prevent avoidable losses.
Abstract:
A cloud-based simulation generation service collects industrial data from multiple industrial customers for storage and analysis on a cloud platform. The service employs a simulation generator component that analyzes data to facilitate generating a simulation model that simulates an industrial automation system, including simulating or emulating industrial devices, industrial processes, other industrial assets, or network-related assets or devices, and their respective interrelationships with each other. The simulation generator component also analyzes modification data to facilitate generating a modified simulation model that simulates the industrial automation system based on the modification. The simulation generator component performs operation simulations using the simulation model or modified simulation model to facilitate determining whether making the modification is appropriate, determining or predicting performance of a modified industrial automation system, determining compatibility of a modification with an industrial automation system, or determining or predicting performance of the industrial automation system when processing a work order.