Fisher-Rosemount Systems, Inc

Rosemount Analytical Inc.

Marion A Keyes, Iv

Mark J Nixon

Terrence L Blevins

Trevor Duncan Schleiss

Ram Ramachandran

Ron Eddie

Stephen T Staphanos

Gary G Cacciatore

Terrence L Belvins

John A Gudaz

Stephen J Staphanos

James Patrick Kennedy

Rahul Deshmukh

A process control system includes economic models disposed in communication with process control modules, as well as with sources of economic data, such as cost, throughput and profit data, and uses the economic models to determine useful economic parameters or information associated with the actual operation of the process plant at the time the plant is operating. The economic models can be used to provide financial statistics such as profitability, cost of manufactured product, etc. in real time based on the actual current operating state of the process and the business data associated with the finished product, raw materials, etc. These financial statistics can be used to drive alarms and alerts within the process network and be used as inputs to process plant optimizers, etc. to provide for better or more optimal control of the process and to provide a better understanding of the conditions which lead to maximum profitability of the plant.

Economic calculations in a process control system

An appendable system includes a plurality of appendable devices that are adapted to interoperate with each other and/or a workstation via a communication network to monitor and/or control a process. Each of the appendable devices can communicate with one or more sensors and/or control outputs and includes a housing that facilitates mounting of the appendable device to a surface.

Appendable system and devices for data acquisition, analysis and control

A process control system includes economic models disposed in communication with process control modules, as well as with sources of economic data such as cost, throughput and profit data, and uses the economic models to determine useful economic parameters or information associated with the actual operation of the process plant at the time the plant is operating. The economic models can be used to provide financial statistics such as profitability, cost of manufactured product, etc. in real time based on the actual current operating state of the process and the business data associated with the finished product, raw materials, etc. These financial statistics can be used to drive alarms and alerts within the process network and be used as inputs to process plant optimizers, etc. to provide for better or more optimal control of the process and to provide a better understanding of the conditions which lead to maximum profitability of the plant.

Economic calculations in process control system

A data processing system and method for use with a process control system enables a plurality of process plants associated with different business entities to share a remotely situated data processing facility. The data processing facility includes a cluster of redundant servers that are communicatively coupled via a local network. Each of the redundant servers is adapted to acquire and process data received from the plurality of process plants. The data processing facility also includes a plurality of redundant data historians that are communicatively coupled to each other and to the cluster of redundant servers for storage of process data and analysis results. Each of the plurality of process plants includes internet-enabled field devices, internet-enabled field device interfaces, and/or internet-enabled data concentration nodes that send information to and receive information from the data processing facility via the Internet.

Shared-use data processing for process control systems

A process control system uses a data collection and distribution system and an asset utilization suite to collect data or information pertaining to the assets of a process plant from various sources or functional areas of the plant including, for example, the process control functional areas, the maintenance functional areas and the process performance monitoring functional areas. This data and information is manipulated in a coordinated manner by the data collection and distribution system and is redistributed to other applications where this it is used to perform overall better or more optimal control, maintenance and business activities. Information or data may be collected by maintenance functions pertaining to the health, variability, performance or utilization of a device, loop, unit, area, etc. and this information may then be sent to and displayed to a process operator or maintenance person to inform that person of a current or future problem. A user interface is provided that enables users to access and manipulate the expert engine to optimize plant operation or cause optimization of plant operation, to get information about the operation of the plant, etc. Furthermore, applications, such as work order generation applications may automatically generate work orders, parts or supplies orders, etc. based on events occurring within the plant.

Method and apparatus for performing a function in a plant using process performance monitoring with process equipment monitoring and control

A control system includes a measurement device capable of gathering high frequency process parameter data, a modeling routine which uses the high frequency parameter data to develop a model of the high frequency noise and a compensation routine that employs the developed model to adjust a control signal to thereby compensate for the high frequency noise present within the process parameter. The measurement device may measure a process variable at a relatively high frequency and send a subset of the measured data (e.g., the low frequency data) to a standard controller that generates a control signal to control the measured process parameter in any known manner. The modeling routine analyzes the high frequency data and develops a mathematical model of the high frequency noise within the process variable. The resulting mathematical model may then be used by the compensation routine to alter the standard control signal produced by the controller before that control signal is delivered to or used by the device being controlled.

Anticipatory high frequency noise compensation in a distributed process control system

A system for generating electricity includes a generator and an interface. The generator is coupled to the interface and provides data to the interface regarding electricity generation. The interface is coupled to a control node for monitoring and controlling the generator. The control node may be coupled to the generator through a medium such as the internet. In some aspects of the invention, a continuous emissions monitoring system is provided for fossil-fuel based generators to enhance operation and reduce emissions of such generators.

Generator monitoring, control and efficiency

A combustion gas analyzer for measuring the concentration of a gas constituent in an exhaust gas stream is provided. The gas analyzer includes a sensor cell assembly coupled to a transmitter having electrical circuitry configured to provide an output of the concentration of the gas constituent as sensed by the sensor cell assembly. The combustion gas analyzer also includes a filter substantially enclosing the sensor cell assembly and a conduit coupled to the filter at a first end of the conduit and coupled to a valve assembly at a second end of the conduit. The conduit is used for supplying a calibration gas to the sensor cell assembly or for supplying a blow-back gas used to purge the filter.

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St. Louis, MO, United States of America

Marion A Keyes, Iv