Patent application number | Description | Published |
20140335480 | USING CLOUD-BASED DATA FOR INDUSTRIAL AUTOMATION SYSTEM TRAINING - A cloud-based performance enhancement service captures and collects data relating to interactions of users with industrial automation systems of multiple industrial customers for storage and analysis on a cloud platform. The service employs a performance enhancement component that analyzes the data to facilitate determining correlations between certain user interactions and favorable performance of an industrial automation system, determining user interactions that are less favorable or unsafe, determining alternative actions that a user can take to achieve a same or similar preferred operational result, generating recommendations relating to the alternative actions, determining or designing components or techniques that can automate a preferred user action, determining improved user assignments in connection with the industrial automation system, and/or generating training modules or presentations based on preferred user actions that can be used to train users to more efficiently interact with an industrial automation system to achieve improved system performance. | 11-13-2014 |
20140336785 | USING CLOUD-BASED DATA FOR VIRTUALIZATION OF AN INDUSTRIAL ENVIRONMENT - A cloud-based virtualization generation service collects industrial-automation-system-related data from multiple industrial automation systems of multiple industrial customers for storage and analysis on a cloud platform. A virtualization management component analyzes the data and generates a virtualized industrial automation system of the industrial automation system based on the analysis results. The virtualization management component updates the virtualized industrial automation system based on operation of, and user interactions with, the industrial automation system. The virtualization management component receives user interactions with the virtualized industrial automation system to facilitate remotely interacting with and/or controlling the industrial automation system and/or generates corresponding control signals that it sends to the industrial automation system to facilitate controlling operation of the industrial automation system. The virtualization management component also customizes a user's view of the virtualized industrial automation system based on user's role, authorization, or location. | 11-13-2014 |
20140336786 | USING CLOUD-BASED DATA FOR VIRTUALIZATION OF AN INDUSTRIAL AUTOMATION ENVIRONMENT WITH INFORMATION OVERLAYS - A cloud-based virtualization generation service collects industrial data from multiple industrial automation systems of multiple industrial customers for storage and analysis on a cloud platform. A virtualization management component (VMC) generates a virtualized industrial automation system of an industrial automation system based on data analysis results. The VMC facilitates remotely controlling the industrial automation system based on user interactions with the virtualized industrial automation system, and updates the virtualized industrial automation system based on collected data relating to the industrial automation system. The VMC customizes a user's view of the virtualized industrial automation system based on a user's role, authorization, location, or preferences, wherein different views of the virtualized industrial automation system with different data overlays are presented on different communication devices of different users. The VMC enables a user to filter data of a virtualized view and share information, including virtual notes, with other users. | 11-13-2014 |
20140336791 | PREDICTIVE MAINTENANCE FOR INDUSTRIAL PRODUCTS USING BIG DATA - A cloud-based predictive maintenance service collects industrial data from multiple industrial customers for storage and analysis on a cloud platform. The service analyzes data gathered from multiple 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 results of the analysis, the predictive maintenance service predicts anticipated device failures or system inefficiencies for individual customers. Notification services alert the customers of impending failures or inefficiencies before the issues become critical. The cloud-based notification services also notify appropriate technical support entities to facilitate proactive maintenance and device management. | 11-13-2014 |
20140336795 | REMOTE ASSISTANCE VIA A CLOUD PLATFORM FOR INDUSTRIAL AUTOMATION - A remote technical support system leverages a cloud platform to automate technical support interactions, facilitating rapid diagnosis and solution of detected performance issues in industrial systems. The technical support system facilitates automated collection of relevant system data from a customer's industrial assets in the event of a detected performance issue requiring involvement of a technical support entity. The relevant system data can be sent to the cloud platform in response to a manual request for support at the plant floor, or automatically in response to detection of a possible device failure or performance issue. The cloud-based remote technical support system then routes the data to a suitable remote support representative, providing the representative with information about customer's industrial system and operations that may be relevant in connection with diagnosing the issue. | 11-13-2014 |
20140337000 | USING CLOUD-BASED DATA FOR INDUSTRIAL SIMULATION - 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. | 11-13-2014 |
20140337086 | RISK ASSESSMENT FOR INDUSTRIAL SYSTEMS USING BIG DATA - 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. | 11-13-2014 |
20140337277 | INDUSTRIAL DEVICE AND SYSTEM ATTESTATION IN A CLOUD PLATFORM - An industrial attestation service executing on a cloud platform collects industrial data from multiple levels of an industrial enterprise and identifies subsets of the industrial data that characterize normal operation. In the cloud platform, baselines are generated for diverse aspects of the industrial enterprise based on the identified subsets, where the baselines characterize normal operation. The baselines are used as a reference in connection with device and system attestation. Aspects of the industrial enterprise that deviate from their corresponding baselines are identified in the cloud platform. Attestation reports indicating aspects of the enterprise that have altered relative to their baselines are delivered to client devices via the cloud platform. | 11-13-2014 |
20140337429 | INDUSTRIAL DATA ANALYTICS IN A CLOUD PLATFORM - 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. | 11-13-2014 |