초록 ▼

A method and apparatus for monitoring and analysing signal data which uses a network model describing the system under investigation and a runtime agent for acquiring the signal data and accessing the model if an anomaly in the signal data is indicated. The network model describes events of interest

A method and apparatus for monitoring and analysing signal data which uses a network model describing the system under investigation and a runtime agent for acquiring the signal data and accessing the model if an anomaly in the signal data is indicated. The network model describes events of interests and how the events relate to phenomena in the system. The network model is constructed using an object-oriented approach with: observations of the events of interests in the system; situations which describe possible underlying causes of the observations; and relations which specify the logical relationship between the observations and situations. The runtime agent is constructed with an object-oriented approach using observers which monitor the signal data and compute whether an anomaly in the incoming signal data exists. If an anomaly is identified, an “observation”is generated and the network model entered to analyse the observation and estimate a cause of the observation. The method and apparatus are applicable for interpreting phenomena in a wide variety of physical systems and have been exemplarily applied to monitoring the quality of oil well logging and laboratory material test sensor configurations.

대표청구항 ▼

A method for monitoring and analyzing a plurality of signals from sensors in a system comprising the steps of: providing an analysis network defining behavior and problem modes of the system; establishing one or more observers for each signal and defining criteria for each observer; monitoring a sig

A method for monitoring and analyzing a plurality of signals from sensors in a system comprising the steps of: providing an analysis network defining behavior and problem modes of the system; establishing one or more observers for each signal and defining criteria for each observer; monitoring a signal value with a corresponding observer and detecting when the signal value does not meet its defined criteria; reporting an observation from the detecting observer to the analysis network if said signal value does not meet its defined criteria; analyzing the observation with the network, including the substeps of invoking one or more additional observers, reporting signal values from each respective observer to the network, and determining whether said one or more additional observers meet respective defined criteria; and generating an explanation of the observation from the network.