Aliaxis has patented a system for pipe network failure classification, utilizing sensors and a processor to assess pipe conditions based on leak data and acoustic wave velocity. The method aims to accurately classify pipe failures into different categories based on operational and environmental parameters. GlobalData’s report on Aliaxis gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Aliaxis, Aliaxis's grant share as of March 2024 was 56%. Grant share is based on the ratio of number of grants to total number of patents.
Pipe network failure classification system
A recently granted patent (Publication Number: US11898705B2) outlines a method for pipe condition assessment in a system equipped with a processor and at least one sensor installed on a pipe. The method involves measuring leak data and estimating leak intensity of a pipe section based on the measured data. The processor assesses the condition of the pipe section using the estimated leak intensity and also measures acoustic wave velocity data to estimate the pipe strength. The assessment of the pipe section is based on either the estimated leak intensity or the estimated pipe strength. Additionally, the method includes calculating leak growth rate, using multiple values of leak intensity over time, to further assess the condition of the pipe.
Furthermore, the patent describes a system for pipe network failure classification that includes sensors deployed on pipes to monitor operation conditions and collect related sensor parameter values. An interconnected processor references a pipe network parts database to classify failures into different categories based on sensor parameter values or retrieved feature parameter value records. The system also includes a failure history database to retrieve prior failure parameter values associated with the pipe for classification. The system aims to recommend remediation solutions based on the failure category and assess specific sections of the pipe network based on classification results and specific records retrieved from the database, enhancing the efficiency of pipe network maintenance and management.
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