Abstract:
A system analysis support device includes a data acquisition part that obtains time series data (items) measured in a system that is to be analyzed, an overall abnormality degree calculation part that calculates transition of abnormality degree representing overall abnormality degree of the system that is to be analyzed, using a predictive model generated so that, with 2 or more time series data (items) as input, values representing a relationship between the 2 or more time series data (items) are outputted, and the time series data (items), and a representative index selection part that selects and presents time series data (items) indicating change similar to transition of the overall abnormality degree of the system that is to be analyzed, from among the time series data (items).
Abstract:
This invention is directed to a plant management system that efficiently supports the on-site work of an operator who checks or maintains a structure such as a plant. The plant management system comprises a position acquirer that acquires a position of a terminal, a sensor specifier that specifies a sensor in accordance with the position of the terminal, and a sensor information acquirer that acquires sensor information concerning the specified sensor; and a presenter that presents the sensor information to an operator by superimposing or projecting the sensor information in association with a target to be measured by the specified sensor. Here, the presenter includes a superimposing display unit or a projection device.
Abstract:
A factor analysis apparatus includes: an acquisition unit that acquires, from factor analysis data, time-series data of an objective variable representing a result of an event and time-series data of an explanatory variable representing a factor of an event; a criterion-value setting unit that sets, based on the time-series data of the objective variable, a plurality of objective-variable criterion values; an influence degree calculation unit that learns the set plurality of objective-variable criterion values and the acquired time-series data of the explanatory variable, generates a relational expression between the objective-variable criterion value and the explanatory variable for each of the objective-variable criterion values, and extracts, from the generated relational expression, a coefficient of the explanatory variable and the explanatory variable corresponding to the coefficient; and an output unit that outputs the extracted coefficient as an influence degree, and outputs an explanatory variable name associated with the extracted explanatory variable.
Abstract:
An information processing system, an information processing method, and a program capable of satisfactory data analysis are provided. The information processing system includes a frequency conversion unit 205 which converts a plurality of pieces of time-series data obtained through detection carried out by a plurality of sensing units 201 into pieces of frequency data 208, respectively, a model construction unit 211 which generates a correlation model 213 using pieces of the frequency data 208 for at least two sensing units 201 from among the plurality of sensing units 201 and calculates a correlation strength 214 of the correlation model 213, and an error detection unit which determines whether an error has occurred based on the correlation strength 214.