Facility State Monitoring Method and Device for Same
First Claim
1. A facility state monitoring method of monitoring a state of a facility on the basis of a time series signal that the facility outputs, the method including the steps of:
- assigning an operation pattern label for each fixed interval on the basis of the time series signal;
selecting learning data on the basis of the operation pattern label for each fixed interval;
creating a normal model on the basis of the selected learning data;
calculating an anomaly measure on the basis of the time series signal and the normal model; and
discriminating whether the state of the facility is anomaly or normal on the basis of the calculated anomaly measure.
1 Assignment
0 Petitions
Accused Products
Abstract
In case-based anomaly indication detection in a facility, there are problems such as error generation due to insufficient learning data or execution difficulty due to increased memory capacity and calculation time when the learning data period has been increased to obtain the learning data sufficiently. Provided is a method for monitoring facility state on the basis of a time series signal outputted from the facility, wherein an operation pattern label for each fixed interval is assigned on the basis of the time series signal, learning data is selected on the basis of the operation pattern label for each fixed interval, a normal model is created on the basis of the selected learning data, an anomaly measure is calculated on the basis of the time series signal and the normal model, and the facility state is determined to be anomaly or normal on the basis of the calculated anomaly measure.
-
Citations
15 Claims
-
1. A facility state monitoring method of monitoring a state of a facility on the basis of a time series signal that the facility outputs, the method including the steps of:
-
assigning an operation pattern label for each fixed interval on the basis of the time series signal; selecting learning data on the basis of the operation pattern label for each fixed interval; creating a normal model on the basis of the selected learning data; calculating an anomaly measure on the basis of the time series signal and the normal model; and discriminating whether the state of the facility is anomaly or normal on the basis of the calculated anomaly measure. - View Dependent Claims (2, 3)
-
-
4. A facility state monitoring method of monitoring a state of a facility on the basis of a time series signal that the facility outputs, including the steps of:
-
assigning an operation pattern label which has been categorized to a finite number to the time series signal for each fixed interval; accumulating the time series signal to which the operation pattern label has been assigned in the operation pattern label assigning step as data; selecting a predetermined number of pieces of data from within the data accumulated in the data accumulating step on the basis of the operation pattern label assigned to the time series signal and setting them as learning data, creating a normal model by using the learning data selected in the learning data selecting step; calculating an anomaly measure of the time series signal on the basis of comparison with the normal model created in the normal model creating step; and discriminating anomaly on the basis of the anomaly measure calculated in the anomaly measure calculating step. - View Dependent Claims (5, 6, 7, 8, 9, 10, 11)
-
-
12. A facility state monitoring device, comprising:
-
a sensor signal analysis unit that inputs and analyzes a time series signal output from a facility; an anomaly diagnosis unit that receives a result of analysis by the sensor signal analysis unit and the time series signal and diagnoses anomaly of the facility; and an input/output unit which is connected with the sensor signal analysis unit and the anomaly diagnosis unit to input and output data, wherein the sensor signal analysis unit has an operation pattern label assigning sub-unit that assigns an operation pattern label for each fixed interval on the basis of the time series signal output from the facility, a learning data creation sub-unit that selects learning data on the basis of the operation pattern label which has been assigned by the operation pattern label assigning sub-unit for each fixed period, a normal model creation sub-unit that creates a normal model on the basis of the learning data created by the learning data creation sub-unit, an anomaly measure calculation sub-unit that calculates an anomaly measure of the time series signal output from the facility on the basis of the normal model created by the normal model creation sub-unit, and an anomaly discrimination sub-unit that performs discrimination as to whether the state of the facility is anomaly or normal on the basis of the anomaly measure calculated by the anomaly measure calculation sub-unit. - View Dependent Claims (13)
-
-
14. A facility state monitoring device for monitoring a facility state by inputting a time series signal output from a facility, comprising:
-
an operation pattern label assigning unit that inputs the time series signal and assigns an operation pattern label categorized to a finite number to the externally input time series signal for each fixed interval; a data accumulation unit that accumulate the time series signal to which the operation pattern label has been assigned by the operation pattern label assigning unit; a learning data selection unit that selects pieces of data of the same operation pattern label or operation pattern labels which are close in state by a predetermined number from within the data accumulated in the data accumulation unit on the basis of the label assigned to the time series signal by the operation pattern label assigning unit and sets as learning data; a normal model creation unit that creates a normal model using the learning data selected by the learning data selection unit; an anomaly measure calculation unit that compares the time series signal to which the operation pattern label has been assigned by the operation pattern label assigning unit with the normal model created by the normal model creation unit and calculates an anomaly measure of the time series signal; and an anomaly discrimination unit that performs discrimination of anomaly of the time series signal to which the operation pattern label has been assigned on the basis of the anomaly measure calculated by the anomaly measure calculation unit. - View Dependent Claims (15)
-
Specification