UNIQUE PATTERN DETECTION SYSTEM, MODEL LEARNING DEVICE, UNIQUE PATTERN DETECTOR METHOD, AND COMPUTER PROGRAM

PROBLEM TO BE SOLVED: To achieve the efficiency of mechanical learning and the highly precise construction of a model by introducing preliminary knowledge relating to a sensor to a process for learning a normal model from the observed value of each sensor on a sensor network. SOLUTION: A model learning device 300 receives data of the observed value of each sensor installed in a sensor network 100 from an observed value database 200, and calculates the master sensor group of each sensor from the observed data and preliminarily knowledge relating to the sensor acquired from a preliminary knowledge database 600, and calculates the statistical parameter of the sensor observed value based on the dependency of the calculated sensor and the master sensor group, and transmits it to a unique pattern detection device 400. The unique pattern detection device 400 receives an observation pattern as observation data at each observation time as the object of unique pattern detection from the data base 200 of the observed value, and decides the uniqueness of the received observation pattern by using the information of the master sensor group and the statistical parameter, and detects an abnormality. COPYRIGHT: (C)2009,JPO&INPIT