Abstract:
An industrial control programming development platform simplifies generation of an industrial control program and associated tag definitions by generating at least a portion of the control program and tag definitions based on analysis of digital engineering drawings of an automation system to be monitored and controlled. This drawing-based program generation includes creation and configuration of smart data tags that model and contextualize controller data at the device level for processing by higher level analytic systems. This device-level contextualization can be based in part on inferences drawn from the digital engineering drawings.
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:
An industrial control system hardened against malicious activity monitors highly dynamic control data to develop a dynamic thumbprint that can be evaluated to detect deviations from normal behavior of a type that suggest tampering or other attacks. Evaluation of the dynamic thumbprint may employ a set of ranges defining normal operation and reflecting known patterns of interrelationship between dynamic variables.
Abstract:
A system that facilitates direct communication of a transaction between an automation controller and a business system comprises a request analyzer that receives a request for data relating to the automation controller and locates a transaction definition within the automation controller based upon the request. A subscribing component subscribes the business system to the automation controller based at least in part upon the located transaction definition.
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:
An industrial control system hardened against malicious activity monitors highly dynamic control data to develop a dynamic thumbprint that can be evaluated to detect deviations from normal behavior of a type that suggest tampering or other attacks. Evaluation of the dynamic thumbprint may employ a set of ranges defining normal operation and reflecting known patterns of interrelationship between dynamic variables.
Abstract:
An industrial control system providing security against tampering or modification generates periodic state thumbprints defining a state of control elements that may be forwarded to a security or safety appliance for comparison to a benchmark thumbprint indicating no tampering. The transmitted state thumbprint may capture not only programs but also configuration and environmental states of the control element.
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 remote asset server allows an industrial asset (e.g., a controller, motor drive, etc.) to be remotely and securely monitored and managed by an owner of the industrial asset as well as other relevant entities, such as original equipment manufacturers (OEMs). The remote asset server acts as a network infrastructure device that regulates access to the industrial asset by different entities in accordance with security policies defined by an end user. These defined security policies are implemented in a cloud platform as role-specific portals by a connectivity broker, the portals serving as secure connection pipelines to the industrial asset via the remote asset server. Using this architecture, an end user can define which aspects of an industrial asset are allowed to be remotely viewed, accessed, or modified by outside entities such as OEMs or system integrators.
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.