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US 12,091,842 B2Granted
Method and system to monitor pipeline condition
AssigneeThe University of Adelaide
InventorsJessica Maria Bohorquez Arevalo, Bradley James Alexander, Angus R. Simpson, Martin F. Lambert
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Abstract
A method and system for real time monitoring of the condition of a pipeline is disclosed. The method comprises continuously monitoring transient pressure information of a fluid in the pipeline, selecting a time window of transient pressure information and processing the time window of transient pressure information to detect an anomaly in the pipeline.
Claims34
A method for real time monitoring of a condition of a pipeline, comprising:
- continuously monitoring transient pressure information of a fluid in the pipeline;
- selecting a time window of transient pressure information;
- and
- processing the time window of transient pressure information to detect an anomaly in the pipeline, wherein processing the time window of transient pressure information comprises:
- down sampling the time window of transient pressure information to generate a down sampled time window of pressure information;
- and
- processing the down sampled time window of transient pressure information by a classifier artificial neural network (ANN) trained to categorise a pipeline operating condition, wherein a size of the down sampled time window of transient pressure information has a same size as an input to the classifier ANN;
- and
- determining by the classifier ANN the pipeline operating condition for the time window.
6 more elements
A system for real time monitoring of the condition of a pipeline, the system including:
- a pressure detector for monitoring transient pressure information of a fluid in the pipeline;
- an analysis module comprising one or more data processors for:
- selecting a time window of transient pressure information;
- and
- processing the time window of transient pressure information to detect an anomaly in the pipeline, wherein processing the time window of transient pressure information by the analysis module comprises:
- down sampling the time window of transient pressure information to generate a down sampled time window of pressure information;
- and
- processing the down sampled time window of transient pressure information by a classifier artificial neural network (ANN) trained to categorise a pipeline operating condition, wherein a size of the down sampled time window of transient pressure information has a same size as an input to the classifier ANN;
- and
- determining by the classifier ANN the pipeline operating condition for the time window.
7 more elements
Dependencies are inferred from the claim text.