Abstract: A system collects and manages sets of asset data that are indicative of operational performance of physical assets disposed at multiple physical locations in a plant. The system includes a database that associates each set of asset data to (1) a location at which the data was collected, (2) the asset for which the data was collected, and (3) the monitoring device that was used to collect the data. In this way, each location has its own history of all asset data ever collected on all assets disposed at that location, and its own history of all monitoring devices used to collect data at that location. Also, each asset has its own history of all asset data collected on that asset at all locations at which it was disposed and for all monitoring devices. This sort of asset data is referred to herein as multi-referenced data.

Abstract: A machine monitor includes sensors producing a series of scalar values corresponding to sensed physical parameters. An analyzer produces a first database based on the scalar values and determines a median value of the scalar values for each sensor. It also sets a spike level that is offset from the median value by a predetermined multiple of the median value. A spike filter in the analyzer compares the scalar values to the spike level, and identifies a particular scalar value as a potential spike when the particular scalar value differs from the median value by an amount that is equal to or greater than the spike level. A potential spike is determined to be an actual spike if the first and second side values are within a predetermined range of the median value. A second database is produced with the actual spikes eliminated.

Abstract: An extensible computing system for integrating asset health data and user control of devices made by different manufacturers, using a computer and program structures including a common platform application structure and a common platform services structure. A services bus communicates device signals in a standardized format from the common platform services structure to a proprietary extension services structure. The proprietary extension services structure converts the device communication signals from the standardized format to a proprietary communication format that is understood by a proprietary device. A data highway bus communicates asset health and reliability data in a standardized data format from the proprietary extension services structure to the common extension services structure. The proprietary services structure converts asset health data from a proprietary data format as received from the proprietary device into the standardized data format.

Abstract: A process plant management system with asset health normalization and aggregation. Aspects of the system include asset monitoring components that sense operating parameters and determine the condition of assets using a number of disparate asset condition assessment methodologies based on those parameters. The system calculates normalized component health scores from the reported asset condition information and evaluates the normalized component health scores to produce an overall asset health score for each asset. The system maintains a hierarchical representation that organizes assets using physical and logical relationships. The system generates virtual health scores for parent objects in the hierarchy from the health scores of the children of each parent object.

Abstract: A machine monitoring system uses generically defined collection definitions, acquisition definitions, and measurement definitions to define machine data to be collected by machine monitoring devices and other data sources in a unified and device/source independent manner. Configuration software of the machine monitoring system defines data to be collected for a particular machine in such a manner that multiple different types of monitoring devices or data sources can each interpret the data definitions and provide the same type of data back to the software system. Thus, the data to be collected is defined once by the configuration software, and the data definition is interpreted internally by each monitoring device or data source. This greatly simplifies the monitoring system and provides the advantage that new monitoring devices can be added to the system to collect data without impacting the software configuration of the data required.

Abstract: A system collects and manages sets of asset data that are indicative of operational performance of physical assets disposed at multiple physical locations in a plant. The system includes a database that associates each set of asset data to (1) a location at which the data was collected, (2) the asset for which the data was collected, and (3) the monitoring device that was used to collect the data. In this way, each location has its own history of all asset data ever collected on all assets disposed at that location, and its own history of all monitoring devices used to collect data at that location. Also, each asset has its own history of all asset data collected on that asset at all locations at which it was disposed and for all monitoring devices. This sort of asset data is referred to herein as multi-referenced data.

Abstract: An application software platform is provided for use in a process plant or other environment to enable various different applications to run, to obtain access to, and to use data from various different assets in the plant or other asset environment in a consistent and easily understood manner. The software platform includes a class-based object structure or model that is set up and used to organize and to efficiently provide access to data about, generated by, or obtained from the assets in the plant. This class-based object structure may be used to provide efficient and organized communications between the various monitoring or other applications and the plant assets or sources of data. The class-based object structure is extensible and includes or defines various hierarchies of class objects that, in turn, define various levels of the assets or other physical or logic entities being monitored (i.e.

Abstract: An extensible computing system for integrating asset health data and user control of devices made by different manufacturers, using a computer and program structures including a common platform application structure and a common platform services structure. A services bus communicates device signals in a standardized format from the common platform services structure to a proprietary extension services structure. The proprietary extension services structure converts the device communication signals from the standardized format to a proprietary communication format that is understood by a proprietary device. A data highway bus communicates asset health and reliability data in a standardized data format from the proprietary extension services structure to the common extension services structure. The proprietary services structure converts asset health data from a proprietary data format as received from the proprietary device into the standardized data format.

Abstract: A span of responsibility access control system for use in plant process management and similar applications. The system leverages span-of-responsibility enabled user accounts and corresponding resource properties to assign, verify, and control access to assets and other resources in the plant process management system on a per user basis. Aspects of the system include configuration of properties for each monitored or controlled asset and association of a span of responsibility based on asset properties, such as asset type and location, with a user account. An access control module compares asset properties to the span of responsibility associated with the user account to determine whether the user is entitled to access any given asset, independent of determining permissions to act on such asset.

Abstract: A method of messaging control is implemented in a plant wide monitoring apparatus. A computer based framework infrastructure communicates with monitoring applications throughout the plant that are implemented on computers, monitors and computer-based applications. Sensors are placed on machinery and monitors receive sensor signals and generate event signals in response to defined physical occurrences, such as when vibration in a machine is exceeding a defined limit or a sensor is failing. A messaging application in the framework infrastructure generates messages corresponding to the event signals. The messages are transmitted to users based on send rules and suppression rules, which are user configurable. The send rules identify messages to be sent or not sent to a particular user based on characteristics of event signals. The suppression rules prevent the transmission of a message based on both the content of a particular event signal plus an external factor, such as a prior event signal.

Abstract: A process plant management system with asset health normalization and aggregation. Aspects of the system include asset monitoring components that sense operating parameters and determine the condition of assets using a number of disparate asset condition assessment methodologies based on those parameters. The system calculates normalized component health scores from the reported asset condition information and evaluates the normalized component health scores to produce an overall asset health score for each asset. The system maintains a hierarchical representation that organizes assets using physical and logical relationships. The system generates virtual health scores for parent objects in the hierarchy from the health scores of the children of each parent object.

Abstract: Automatically adjusting collection parameters for machines on a route in a collection device, based on states of the machines. For each machine on the route, the machine state is read into the collection device. The machine is included or excluded based on the machine state. The collection device is configured with first collection parameters that are configured based on the machine state. Data is collected from the machine based on the first collection parameters. The data is analyzed using parameters that are configured based on the machine, to determine alerts. Based on the alerts, data is selectively immediately collected from the machine based on second collection parameters that are configured based on the machine state and the alerts. Also based on the alerts, the technician is selectively prompted with the collection device to take a predetermined action and collect data from the machine.

Abstract: A method of automatically adjusting data collection parameters for machines on a data collection route in a portable collection device used by a technician, based on states of the machines. For each machine on the data collection route, the state of the machine is read into the portable collection device. The machine is automatically included in or excluded from the data collection route based at least in part on the state of the machine. The portable collection device is automatically configured with a first predetermined set of data collection parameters that is automatically configured based at least in part on the state of the included machine. An initial set of data is collected from the included machine with the portable collection device, based on the first predetermined set of data collection parameters.

Abstract: A method for detecting an event and/or behavior of interest based on monitoring data and selectively storing portions of the monitoring data associated with the event and/or behavior of interest. Preferably, the method includes defining a hierarchy of event and/or behavior types so that the storing of a first behavior/event type is preferred over a second behavior/event type, especially when storing capacity is scarce. A data management apparatus including a logic device and a long-term storage memory apparatus, the logic device for detecting an event and/or behavior of interest based on monitoring data and selectively storing portions of the monitoring data associated with the event and/or behavior of interest on the long-term memory storage apparatus.

Abstract: A method for detecting an event and/or behavior of interest based on monitoring data and selectively storing portions of the monitoring data associated with the event and/or behavior of interest. Preferably, the method includes defining a hierarchy of event and/or behavior types so that the storing of a first behavior/event type is preferred over a second behavior/event type, especially when storing capacity is scarce. A data management apparatus including a logic device and a long-term storage memory apparatus, the logic device for detecting an event and/or behavior of interest based on monitoring data and selectively storing portions of the monitoring data associated with the event and/or behavior of interest on the long-term memory storage apparatus.

Abstract: A virtual fieldbus device module is a software or firmware module that enables an otherwise ordinary fieldbus device to become a complex fieldbus device, capable of registering and maintaining multiple fieldbus network addresses for one or more “virtual” fieldbus devices. Each virtual fieldbus device has one or more sensor inputs and appears to the fieldbus network as an individual physical fieldbus device, despite the complex fieldbus device only having one physical connection to the fieldbus network. The virtual fieldbus device module may be incorporated into a device's firmware or may be included in a memory plug-in capable of being removed. The communication packet processing of a complex fieldbus device running the virtual fieldbus device module includes receiving a communication packet over the fieldbus network, determining whether the address associated with the packet matches any of the addresses registered by the complex fieldbus device, and processing any packets that match.

Abstract: The invention provides a computerized method and apparatus which enables a user, even one who has little or no predictive maintenance skills, to establish a predictive maintenance database that defines information needed to monitor equipment in accordance with a predictive maintenance plan. The type of equipment components to be monitored and associated physical characteristics of the components are input to a computer as an equipment configuration, which may include one or more interconnected components. The computer includes a knowledge base that defines relationships between monitoring practices, component types, and physical characteristic information for component types. A predictive maintenance database is constructed for the components using the inference engine operating on the knowledge base, the selected component type, and the selected physical characteristic information. Multiple measurement technologies may be specified for each component.

Abstract: The invention provides a computerized method and apparatus which enables a user, even one who has little or no predictive maintenance skills, to establish a predictive maintenance database that defines information needed to monitor equipment in accordance with a predictive maintenance plan. The type of equipment components to be monitored and associated physical characteristics of the components are input to a computer as an equipment configuration, which may include one or more interconnected components. The computer includes a knowledge base that defines relationships between monitoring practices, component types, and physical characteristic information for component types. A predictive maintenance database is constructed for the components using the inference engine operating on the knowledge base, the selected component type, and the selected physical characteristic information. Multiple measurement technologies may be specified for each component.