The invention provides improved methods and apparatus for control using field and control devices that provide a virtual machine environment and that communicate via an IP network. By way of non-limiting example, such field device can be an “intelligent” transmitter or actuator that includes a low power processor, along with a random access memory, a read-only memory, FlashRAM, and a sensor interface. The processor can execute a real-time operating system, as well as a Java virtual machine (JVM). Java byte code executes in the JVM to configure the field device to perform typical process control functions, e.g., for proportional integral derivative (PID) control and signal conditioning. Control networks can include a plurality of such field and control devices interconnected by an IP network, such as an Ethernet.

Methods and apparatus for control using control devices that provide a virtual machine environment and that communicate via an ip network

Connection objects or other such data structures facilitate establishing and configuring connections between objects that model components in a process control system. A first set of data structures (e.g. the object connection type structures) identify valid types for component-to-component pairings and the respective roles of each component in the pairing (e.g., parent or child, source or sink). A second set of data structures (e.g., the parameter connection type structures) supply similar information for parameter-to-parameter connections. Together, these data structures can be used, for example, to validate component-to-component connections suggested by the user and to automatically configure parameter-to-parameter connections. Actual connections, both at the component or parameter level, are reflected using parameter overrides within the parameterized object model—with which the connection objects are constructed.

Process control configuration system with connection validation and configuration

A cloud-based infrastructure facilitates gathering, transmitting, and remote storage of control and automation data using an agent-based communication channel. The infrastructure collects the industrial data from an industrial enterprise and intelligently sorts and organizes the acquired data based on selected criteria. Message queues can be configured on the cloud platform to segregate the industrial data according to priority, data type, or other criteria. Behavior assemblies stored in customer-specific manifests on the cloud platform define customer-specific preferences for processing data stored in the respective message queues. An agent-based analytics framework in the cloud platform performs desired analytics on the data using distributed parallel processing.

Remote industrial monitoring and analytics using a cloud infrastructure

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.

Industrial data analytics in a cloud platform

The invention provides an improved network and methods of operation thereof for use in or with process control systems, computer-based manufacturing or production control systems, environmental control systems, industrial control system, and the like (collectively, “control systems”). Those networks utilize a unique combination of firewalls, intrusion detection systems, intrusion protection devices and/or other devices for hardening (e.g., security against hacking, intrusion or other mischievous conduct) and/or intrusion detection. The networks and methods have application, by way of example, in plants, sites and other facilities in which networks that support control systems interface with corporate, business or other networks.

Process control methods and apparatus for intrusion detection, protection and network hardening

The present invention relates to a system and methodology facilitating flexible resource distribution in an industrial control environment. A query component is provided to determine one or more system resources from a networked industrial controller system, wherein the resources can include listings of applications, configurations, variable settings, and performance capabilities associated with a controller. Upon receiving available resource listings from various control devices, a distribution component can update the devices based in part on the resource listings and according to various criteria. A configuration component can be utilized in the controller system to provide network updates of controller parameters and to facilitate automated protocol selections when interacting with out-of-network devices. An analysis component can interact with the query, distribution, and configuration components to support higher-level decision-making in the resource distribution and allocation process.

System and methodology providing flexible and distributed processing in an industrial controller environment

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System and methodology providing flexible and distributed processing in an industrial controller environment