EVENT ANALYSIS APPARATUS, EVENT ANALYSIS METHOD AND COMPUTER PROGRAM PRODUCT

摘要

An associated event group preparation unit calculates a degree of association between the events on the basis of an event matrix, and prepares an associated event group for each event. A cause-and-effect relationship model establishment unit establishes a probabilistic cause-and-effect relationship model by a Bayesian network on the basis of the event matrix, for each associated event group. An improvement candidate pattern receiving unit receives a setting of an improvement candidate pattern in which a condition of an event to be set as an improvement candidate is determined by attributes of the base point event and the associated event and a conditional probability between the base point event and the associated event. A pattern analysis unit extracts a probabilistic cause-and-effect relationship model conforming to any one of the set improvement candidate patterns, from the established probabilistic cause-and-effect relationship models for each event.

主权项

1. An event analysis apparatus configured to analyze events that occur in a plant, the apparatus comprising:
an associated event group preparation unit configured to calculate a degree of association between the events on the basis of an event matrix, which represents presence and absence of occurrence of each event including an attribute indicating an alarm or an operation in time series, and to prepare an associated event group for each event, in which a specific event is set as a base point event and the base point event and an event having a high degree of association are grouped; a cause-and-effect relationship model establishment unit configured to establish a probabilistic cause-and-effect relationship model by a Bayesian network on the basis of the event matrix, for each associated event group; an improvement candidate pattern receiving unit configured to receive a setting of an improvement candidate pattern in which a condition of an event to be set as an improvement candidate is determined by attributes of the base point event and the associated event and a conditional probability between the base point event and the associated event; and a pattern analysis unit configured to extract a probabilistic cause-and-effect relationship model conforming to any one of the set improvement candidate patterns, from the established probabilistic cause-and-effect relationship models for each event.