摘要:
A risk evaluation system includes a storage unit, an operation unit, a calculation unit, a risk evaluation unit and a display unit. The calculation unit calculates first and second factors for use in risk evaluation relating to specific constituent devices on the basis of predetermined information about the specific constituent devices. The risk evaluation unit generates risk evaluation information to be used for displaying a device risk evaluation matrix defined by two axes of the first factor and the second factor and including plot images plotted based on the first and second factors of the specific constituent devices. Further, the risk evaluation unit generates the device risk evaluation information in identifiable displaying mode to allow identification of plot images of specific constituent devices constituting a same process.
摘要:
Provided is a top-event assessment apparatus that determines occurrence probabilities of basic events based on statuses as to the basic events and calculates an occurrence probability of a top event or the like. The top-event assessment apparatus includes: a minimal-cut-set management table (5b) in which to store minimal cut sets; a coefficient management table (5c) in which to store coefficients for each of the basic events, the coefficients corresponding to the statuses as to the basic event; a status management table (5d) in which to store the status of each of assessment targets (A, B, and C) as to each of the basic events; a processor (3) that calculates occurrence probabilities for the respective assessment targets or the occurrence probability of the top event based on information in the minimal-cut-set management table (5b), the coefficient management table (5c), and the status management table (5c); and an assessment result management table (5e) in which to store the occurrence probabilities for the respective assessment targets (A, B, and C) or the occurrence probability of the top event calculated by the processor (3).
摘要:
A method includes associating multiple real-time applications (202a-202n) with a framework (124). The real-time applications include applications for monitoring or controlling equipment (101a-101b, 600, 700, 902-906) in at least one industrial facility. Each application has at least one input variable (204) and at least one output variable (205). The method also includes identifying relationships between the input and output variables of the applications to identify data dependencies. The method further includes receiving data updates at the framework and notifying at least one of the applications of the data updates based on the data dependencies to support data-driven operation of the framework. The data-driven operation of the framework provides data to the applications to support performance monitoring of the equipment, analysis of the equipment's operation, and/or identification of abnormal equipment conditions.
摘要:
Zur Unterstützung der Fehlerdiagnose einer Industrieanlage (2), die eine Mehrzahl von über ein Rohrleitungssystem (4) verbundenen Anlagenkomponenten (3) aufweist, ist vorgesehen, jede Anlagenkomponente (3) einem von mehreren abstrakten Komponententypen (5, 10-15) zuzuordnen, wobei jedem Komponententyp (5, 10-15) wiederum ein gewichteter, gerichteter Komponentengraph (30, 40, 50, 60, 61, 70, 80, 90, 95, 96) zugeordnet wird. Ein RI-Fließbild (1) der Industrieanlage (2) wird ausgehend von einem Startpunkt entlang eines Rohrleitungssystems (4) komponentenweise abgearbeitet. Dabei wird bei jeder Anlagenkomponente (3) auf deren dem Komponententyp (5, 10-15) nach zugeordneten Komponentengraphen (30, 40, 50, 60, 61, 70, 80, 90, 95, 96) zugegriffen. Die einzelnen Komponentengraphen (30, 40, 50, 60, 61, 70, 80, 90, 95, 96) werden zu einem System von gewichteten, gerichteten Gesamtgraphen (140, 141, 142) der Industrieanlage (2) zusammengefügt, deren Knoten jeweils mehreren einzelnen Anlagenkomponenten (3) zugeordnet sind. Selbst bei Eingreifen eines Regelkreises wird das Auffinden möglicher Fehlerursachen erleichtert.
摘要:
A method of monitoring a flow spool pipe (13) in a subsea hydrocarbon extraction well facility comprises: providing a plurality of sensors (1, 4); sensing parameters relating to the flow spool pipe using the sensors; receiving signals from the sensors as a result of said sensing to produce data relating to the parameters; and analysing the data.
摘要:
The invention relates to online diagnosing of an entity (150) having a plurality of components (c 1 ,..., c n ) whose respective health statuses (s) are to be determined. An online diagnosis engine (100) adapted to execute a fault isolation algorithm includes an input interface (130) and a processing unit (110). The input interface (130) receives results ({R t }) of a set of tests (t 1 ,..., t x ) performed in respect of the components (c 1 ,..., c n ). The processing unit (110) generates, in real time, a status report ( ) reflecting a functional quality of each of said components (c 1 ,..., c n ) based on the test results ({R t }) currently available on the input interface (130). In this procedure, the processing unit (110) implements simplified Boolean functions representing a truth-table of all possible combinations of test results ({R t }) and their status reports ( ).
摘要:
The aim of the invention is to improve the diagnosis of motor vehicle systems comprising a plurality of functional components in a network. To this end, the individual status data of the control units (11, 12, 13, 14) is monitored in a central diagnostic control unit (15) using a mathematical model. Each control unit can also be provided with a self-diagnosis optionally based on a model. By calculating error or causes of error using a model, the control units do not need to be provided with large databases for the diagnosis of error.
摘要:
A hierarchical fault handling system and method based on filtering data regarding entities in the system and coordinating said filtered data in order to determine if an entity is considered faulty or not. The result for all entities is co-ordinated in a sys-tem fault co-ordinating means (17) which makes the overall decision if the system considered to be faulty or not.