# US 12,761,106 B2 · Method for leakage detection > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 12,761,106 B2 - Document ID: US12761106B2 - Status: Granted - Kind: B2 - Application number: 17/767,491 - Filed: 2020-10-12 - Published: 2023-07-13 - Granted: 2026-10-13 - Earliest claimed: 2019-10-11 - Assignees: Rosenxt Holding AG - Applicants: Rosenxt Holding AG - Inventors: Hermann Rosen - Web page: https://patentgrep.com/patent/US12761106B2 ## CPC - G01M 3/243: {for pipes} - G01M 3/002: {by using thermal means} - G01M 3/2815: {using pressure measurements} - G01M: TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR ## Abstract The invention relates to a method for leakage detection on an object flown through by a medium, in particular a pipe or a pipeline. According to the invention, a pattern is identified in the determined values for the change of the flow rate and the pressure of the medium and for a temperature change, and a probability for the presence of a leak is determined based on the identified pattern and due to self-learning systems. ## Claims ### Claim 1 A method for leakage detection on a pipeline carrying a flow of a medium, the method comprising: ascertaining a value for a change in a flow rate of the medium, for a pressure change in the medium, and a temperature value change at each of a plurality of measurement points on a contiguous section of pipeline carrying the flow of the medium to known tapping points, wherein at least part of the contiguous section of the pipeline is buried in the ground, wherein a length of the contiguous section of the pipeline is such that at least some of the plurality of measurement points are outside a same measurement housing, and wherein the ascertained values are recorded and statistically evaluated by a data processing device; identifying, by the data processing device, a pattern in a group of values that is formed from the ascertained values and from data, obtained via an external source, that describes geological composition of the ground surrounding the part of the contiguous section of the pipeline; and determining, by the data processing device and based on the identified pattern, a likelihood of a presence of a leak in the contiguous section of the pipeline at a location between a first measurement point on the contiguous section of the pipeline and a second measurement point on the contiguous section of the pipeline by: applying a classification algorithm and a pattern analysis algorithm to the identified pattern; and applying a learning algorithm, that comprises the classification algorithm and the pattern analysis algorithm, to the group of values, wherein output of the learning algorithm is indicative of the likelihood of the presence of the leak, wherein the learning algorithm is trained using stored and simulated values before being applied to the ascertained values and/or the group of values, and wherein the stored and simulated values are associated with an actual and a simulated presence of a leak on the contiguous section of the pipeline. ### Claim 2 (depends on 1) The method as claimed in claim 1, wherein the identified pattern is stored as a dataset in a database and/or is assigned to a dataset stored in a database. ### Claim 3 (depends on 1) The method as claimed in claim 1, wherein the identified pattern is compared with one or more stored patterns. ### Claim 4 (depends on 1) The method as claimed in claim 1, wherein a characteristic pattern serves as a criterion for the presence of a leak in the contiguous section of the pipeline. ### Claim 5 (depends on 1) The method as claimed in claim 1, wherein the value for the change in the flow rate of the medium, the value for the pressure change in the medium, and the temperature value change are each ascertained noninvasively. ### Claim 6 (depends on 1) The method as claimed in claim 1, wherein the change in the flow rate is measured by an acoustic method. ### Claim 7 (depends on 1) The method as claimed in claim 1, wherein data concerning the weather in the surroundings of the contiguous section of the pipeline and/or of a measurement point are processed by the data processing device and are linked with the group of values and/or added to the group of values. ### Claim 8 (depends on 7) The method as claimed in claim 7, wherein the data from the external source includes data relating to the agricultural use of areas surrounding the part of the contiguous section of the pipeline. ### Claim 9 (depends on 1) The method as claimed in claim 1, wherein the ascertained values from different measurement points are transmitted to a central data processing device. ### Claim 10 (depends on 1) The method as claimed in claim 1, wherein the group of values includes values for the change in the flow rate of the medium, the pressure change in the medium, and the temperature value change at each of the plurality of measurement points. ### Claim 11 (depends on 1) The method as claimed in claim 1, wherein the length of the contiguous section of the pipeline is such that the first measurement point and the second measurement point are in different weather zones. ### Claim 12 (depends on 1) The method as claimed in claim 1, wherein the known tapping points are outside of a portion of the contiguous section of the pipeline that extends from the first measurement point to the second measurement point. ### Claim 13 A non-transitory computer program product comprising instructions for determining a likelihood of a presence of a leak on a pipeline carrying a flow of a medium, wherein the instructions are for causing a data processing device to: ascertain a value for a change in a flow rate of the medium, for a pressure change in the medium, and for a temperature value change at each of a plurality of measurement points on a contiguous section of the pipeline carrying the flow of the medium to known tapping points, wherein at least part of the contiguous section of the pipeline is buried in the ground, wherein a length of the contiguous section of the pipeline is such that at least some of the plurality of measurement points are outside of a same measurement housing, identify a pattern in a group of values formed from the ascertained values and from data, obtained via an external source, that described geological composition of the ground surrounding the part of the contiguous section of the pipeline; determine, based on the identified pattern, a likelihood of a presence of a leak in the contiguous section of the pipeline at a location between a first measurement point on the contiguous section of the pipeline and a second measurement point on the contiguous section of the pipeline by: applying a classification algorithm and a pattern analysis algorithm to the identified pattern; and applying a learning algorithm, that comprises the classification algorithm and/or the pattern analysis algorithm, to the group of values, wherein output of the learning algorithm is indicative of the likelihood of the presence of the leak, wherein the learning algorithm is trained using stored and simulated values before being applied to the group of values, and wherein the stored and simulated values are associated with an actual and/or a simulated presence of a leak on the contiguous section of the pipeline.