Abstract:
A method includes performing (410) an initial analysis using first data collected at a first collection frequency from a data source (304) of a processing facility (302). The method also includes identifying (410) at least one control loop in the processing facility having a potential problem based on the initial analysis and selecting (420) a root cause analysis to execute in order to determine a root cause of the potential problem (420). The method further includes generating (425-430) a schedule file (240) and a loop identifier file (260) associated with a request to collect, from the data source, second data for the at least one control loop at a higher second collection frequency for a specified duration. The request specifies the specified duration, the second collection frequency, and the at least one specified control loop. In addition, the method includes transmitting (425-430) the schedule file to a data collector (210) and the loop identifier file to a database (220).
Abstract:
A history management system for reliably managing the history of mainly the operation of equipment such as working machines, machine tools, vehicles and a variety of molds and dies, which can be installed at a low installation cost. Each piece of equipment is furnished with a terminal in which history data including at least information on the use of the equipment are stored and in/from which history data are inputted/outputted, and data are inputted in or outputted from the terminal only when required. By this method, because terminals are mounted on the equipment, left there, and used, when necessary, to retrieve the history data including information on the use of the equipment, the system configuration is simplified. Further, because the terminal is installed as a device solely used for the management of the history of equipment, there is no need to adjust the environment of other control systems, facilitating the installation work.
Abstract:
An improved method for verifying a position of a sensor with respect to an object under test includes detecting a signal from the sensor that is positioned at a given location on an object under test and comparing the signal from the sensor with a historical signal that is associated with a Uniquely Identified Location (UIL) on the object under test. If the two signals are consistent, and if the position of the sensor at the given location on the object under test is the same as the UIL, it is concluded that the position of the sensor is correct.
Abstract:
A method of using an APC system to perform a data pre-population function is described in which the APC system is coupled to a processing element. The APC system comprises an APC computer including operational software, a database coupled to the APC computer, and a GUI, and the processing element comprises at least one of a tool, a processing module, and a sensor. When the APC system operates, the APC system collects data from the processing element and stores the collected data in the database. When an APC malfunction occurs, a data recovery (data pre-population) can be performed. When some of the historical data is missing, a data recovery (data pre-population) can be performed. When an APC system is coupled to a new tool having some historical data, a data recovery (data pre-population) can be performed.
Abstract:
A process control system uses an asset utilization expert 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 business systems functional areas. This data and information is manipulated in a coordinated manner by tools, such as optimization and modeling tools and is redistributed to other areas or tools where 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, 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.
Abstract:
An integrated workstation is disclosed to monitor and control a manufacturing process as well as permit an operator to execute a more general application on the same workstation. Data acquired from a process control system is stored into a form that is usable by the general application for future display and manipulation.
Abstract:
A method of using an APC system to perform a data pre-population function is described in which the APC system is coupled to a processing element. The APC system comprises an APC computer including operational software, a database coupled to the APC computer, and a GUI, and the processing element comprises at least one of a tool, a processing module, and a sensor. When the APC system operates, the APC system collects data from the processing element and stores the collected data in the database. When an APC malfunction occurs, a data recovery (data pre-population) can be performed. When some of the historical data is missing, a data recovery (data pre-population) can be performed. When an APC system is coupled to a new tool having some historical data, a data recovery (data pre-population) can be performed.
Abstract:
Die Erfindung betrifft ein System (1) zum Bedienen und Beobachten eines Produktionsprozesses (PP) sowie zur Prozessdatenarchivierung für ein Historian-System. B & B-Funktionalität und Historian-Funktionalität werden in einem System (1) integriert. Eine Historian-Datenbank (4) dient zur Speicherung von Prozessinformationsdaten (PI). Zugriff auf den Produktionsprozess (PP) und Zugriff auf langzeitarchivierte Daten werden in einem System (1) ermöglicht. Die Prozessinformationsdaten (PI) müssen nur einmal von den entsprechenden Geräten (5) erhoben werden. Das Historian-System profitiert von der Redundanz des B&B Systems. Spezielle Multiplexer-Komponenten (11) sorgen für eine transparente Verdeckung von unterlagerten Systemen. Das System (1) ist internetfähig (10) und zur Nutzung durch beliebige Clients (9,9a,99,99a) geeignet. Ein Remoting der Datenbankschnittstellen ermöglicht den Einsatz handelsüblicher Historian-Clients in Internetszenarien.
Abstract:
A process plant uses an asset utilization expert to collect data or information pertaining to the assets of the 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 business systems functional areas. Some of this data, such as data indicative of one or more process parameters associated with a process entity like a furnace, may be used to estimate a degradation level, such as a coking level, of the process entity at a first time. The estimated level of the degradation of the process entity at the first time may then be compared to a predetermined desired level of degradation of the process entity at the first time may then be compared to a predetermined desired level of degradation of the process entity at the first time and the operation of the process entity may be altered based on the comparison to drive the estimated amount of degradation of the process entity at a second time to be approximately equal to a predetermined desired level of degradation at the second time.
Abstract:
A method and system for monitoring production in one or more production lines monitored by sensors associated with a computer network. Through sensors (44) associated with the one or more production lines, a plurality of production readings, including one or more of: temperature readings for a production line environment, pressure readings for the production line environment, motor speed readings for a motor associated with the production line, humidity readings for the production line environment, rates at which the production line is fed with materials, sources from which the production line is fed, and output rates of the production line are obtained. Another step includes obtaining quality data for the products output by the production line, the quality data being stored in a quality database of a laboratory information management system, the quality data including one or more of: rheology values, appearance measurements, compositional data, strength data, and color data. A production run sheet (80) including the obtained production readings and quality data can then be generated.