An industrial plant asset management system comprising of a synchronized multiple view graphical user interface combining simultaneous real time and database display capability, a database including a knowledge manager and having input and output interfaces, a normalizing data acquisition module with real time and database interfaces, and a variety of device dependent data collector modules with associated signal conditioning and processing devices for providing an environment for development and deployment of visual models for monitoring plant assets.

Industrial plant asset management system: apparatus and method

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

A system for empirically diagnosing a condition of a monitored system. Estimates of monitored parameters from a model of the system provide residual values that can be analyzed for failure mode signature recognition. Residual values can also be tested for alert (non-zero) conditions, and patterns of alerts thus generated are analyzed for failure mode signature patterns. The system employs a similarity operator for signature recognition and also for parameter estimation. Failure modes are empirically determined, and precursor data is automatically analyzed to determine differentiable signatures for failure modes.

Diagnostic systems and methods for predictive condition monitoring

Operational status information associated with a process entity in a process plant(10) is received. The operational status information is mapped into one of a plurality of status conditions. Then, an alert message associated with the process entity is generated, where the alert message is indicative of the one status condition of the plurality of status conditions.

Integrated alert generation in a process plant

A diagnostic system for use in a process control system collects and stores in a database information pertaining to the operation of the process control system, and that uses an expert engine to apply rules for analysis to the information in the database to determine solutions to problems. The database stores various types of information such as event and alarm data, notices of scheduled maintenance and changes to operating parameters, and historical data related to previous changes to the process control system that are relevant to determining both the source of the problems detected in the process control system and the steps necessary to either further analyze or correct the detected problems. The diagnostic system identifies the source of the problem and identifies and runs the appropriate analytical tools or takes remedial measures based on the rules for analysis for the expert engine.

Diagnostic expert in a process control system

A process control system includes a diagnostic monitoring and display functionality for viewing, in a coherent manner, diagnostic information relating to a process that operates over multiple devices and system components. Although the multiple devices and system components typically encompass widely different device types and operational standards, the process control system incorporates diagnostic information relating to all devices and presents this information to a system user in a uniform manner so that an operating control strategy and the diagnostic information are presented as though all control actions and diagnostic information were performed or generated at a single location. A user-defined diagnostic program is assembled as a set of function blocks and control modules and represented as a set of layers of interconnected control objects identified as modules which include informational structures accessed as attributes. Information is accessed using device hierarchy attribute addressing, supporting direct addressing of I/O signals from modules, bypassing the use of I/O function blocks and avoiding I/O function block behavior.

Process control system for monitoring and displaying diagnostic information of multiple distributed devices

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Process control system for monitoring and displaying diagnostic information of multiple distributed devices