Method and system for identifying cavity position of structure based on global search

US12306071B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-12306071-B2
Application numberUS-202017791533-A
CountryUS
Kind codeB2
Filing dateMar 23, 2020
Priority dateJan 8, 2020
Publication dateMay 20, 2025
Grant dateMay 20, 2025

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Abstract

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A method and system for identifying a cavity position of a structure based on global search includes: step 1 : using a structure requiring cavity position identification as a target area, arranging acoustic emission sensors at key positions of the target area, and acquiring actual travel time of signals between the acoustic emission sensors on site; step 2 : constructing cavity models for the target area; and for each cavity model, tracking shortest paths of signal propagation between the acoustic emission sensors when each cavity model exists in the target area, to obtain theoretical travel time of the signals; and step 3 : respectively calculating deviations between the theoretical travel time and the actual travel time of the signals between the acoustic emission sensors corresponding to each cavity model, and using a position of a cavity model corresponding to a minimum deviation as an identified cavity position in the target area.

First claim

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What is claimed is: 1. A method for identifying a cavity position of a structure based on global search, comprising the following steps: step 1 : using a structure requiring cavity position identification as a target area, arranging a plurality of acoustic emission sensors at key positions of the target area, and acquiring an actual travel time of signals between the plurality of acoustic emission sensors on site; step 2 : constructing a plurality of cavity models for the target area; and for each of the plurality of cavity models, tracking shortest paths of a signal propagation between the plurality of acoustic emission sensors when each of the plurality of cavity models exists in the target area, to obtain a theoretical travel time of the signals between the plurality of acoustic emission sensors; and step 3 : respectively calculating deviations between the theoretical travel time and the actual travel time of the signals between the plurality of acoustic emission sensors corresponding to each of the plurality of cavity models, and using a position of a cavity model corresponding to a minimum deviation as an identified cavity position in the target area. 2. The method according to claim 1 , wherein in step 1 , a method for arranging the plurality of acoustic emission sensors at the key positions of the target area is: arranging m acoustic emission sensors at different positions of the target area, m being an integer greater than or equal to 4. 3. The method according to claim 2 , wherein all the m acoustic emission sensors have a pulse signal emission function. 4. The method according to claim 3 , wherein in step 1 , suppose that an active seismic source is S l , the active seismic source is an acoustic emission sensor transmitting a pulse signal, coordinates of the active seismic source are (x l ,y l ,z l ), a moment at which the active seismic source transmits the pulse signal is t 0 l , coordinates of a k th acoustic emission sensor S k receiving the pulse signal is (x k ,y k ,z k ), and an actual moment at which the pulse signal transmitted by S l is t 0 k , an actual travel time of the pulse signal between the acoustic emission sensor S l and the k th acoustic emission sensor S k is: Δt 0 lk =t 0 k −t 0 l . 5. The method according to claim 4 , wherein in step 2 , a commonly used shortest path tracking method is used to track the shortest paths of the signal propagation between the plurality of acoustic emission sensors when each of the plurality of cavity models exists in the target area, to obtain the theoretical travel time of the signals between the plurality of acoustic emission sensors. 6. The method according to claim 4 , wherein in step 2 , a method for constructing the plurality of cavity models is: dividing the target area into blocks according to a specific ratio to obtain n block intersections, and using each of the n block intersections as a sample point to obtain a set including n sample points; traversing all the n sample points (x,y,z) in the set and all possible values of a radius r; and respectively constructing a spherical cavity model P xyzr with a radius of r by using each of the n sample points (x,y,z) as a sphere center, to obtain the plurality of cavity models in the target area, wherein the value of r is an integer multiple of a block length len, and is less than or equal to a maximum value among a length, a width, and a height of the target area. 7. The method according to claim 6 , wherein when the spherical cavity model P xyzr exists in the target area, a tracked shortest path between the acoustic emission sensor S l transmitting the pulse signal and the k th acoustic emission sensor S k receiving the pulse signal is L xyzr lk , and a propagation speed of the pulse signal is V, a theoretical travel time of the pulse signal between the acoustic emission sensor S l and the k th acoustic emission sensor S k is: Δt xyzr lk =L xyzr lk /V. 8. The method according to claim 7 , wherein in step 3 , a deviation calculation formula is: D xyzr =Σ l,k=1 m (Δ t xkyzr lk −Δt 0 lk ) 2 . 9. A system for identifying a cavity position of a structure based on global search, comprising a plurality of acoustic emission sensors and a data processing module, wherein the plurality of acoustic emission sensors are respectively arranged in a target area, the target area comprises a plurality of different positions of the structure requiring a cavity position identification, and the plurality of acoustic emission sensors are configured to acquire an actual travel time of signals between the plurality of acoustic emission sensors on site; and the data processing module is configured to: first construct a plurality of cavity models for the target area; for each of the plurality of cavity models, track shortest paths of a signal propagation between the plurality of acoustic emission sensors when each of the plurality of cavity models exists in the target area, to obtain a theoretical travel time of the signals between the plurality of acoustic emission sensors; and finally respectively calculate deviations between the theoretical travel time and the actual travel time of the signals between the plurality of acoustic emission sensors corresponding to each of the plurality of cavity models, and use a position of a cavity model corresponding to a minimum deviation as an identified cavity position in the target area.

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Classifications

  • with a reference signal (amplitude comparison G01N29/48) · CPC title

  • Defect imaging, localisation and sizing using, e.g. time of flight diffraction [TOFD], synthetic aperture focusing technique [SAFT], Amplituden-Laufzeit-Ortskurven [ALOK] technique · CPC title

  • one or more transducer arrays · CPC title

  • Mathematical theories or simulation · CPC title

  • using acoustic emission techniques {(echo of particles G01N29/046; measuring mechanical vibrations or acoustic waves in solids in general G01H1/00)} · CPC title

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What does patent US12306071B2 cover?
A method and system for identifying a cavity position of a structure based on global search includes: step 1 : using a structure requiring cavity position identification as a target area, arranging acoustic emission sensors at key positions of the target area, and acquiring actual travel time of signals between the acoustic emission sensors on site; step 2 : constructing cavity models for the…
Who is the assignee on this patent?
Univ Central South
What technology area does this patent fall under?
Primary CPC classification G01N29/07. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue May 20 2025 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).