This application is the national phase entry of International Application No. PCT/CN2020/080623, filed on Mar. 23, 2020, which is based upon and claims priority to Chinese Patent Application No. 202010019166.3, filed on Jan. 8, 2020, the entire contents of which are incorporated herein by reference.
The present invention relates to the technical field of non-destructive testing and safety monitoring, and in particular, to a method and system for identifying a cavity position of a structure based on global search.
Nowadays, all walks of life have increasingly high requirements for structural integrity. This is because whether there are cavities M a structure is related to the stability of the entire structure. How to effectively detect cavities and take corresponding measures has become a research project for those skilled in the art.
As far as the current research is concerned, the methods for identifying (locating) a cavity position of a structure are relatively complex. Therefore, it is very necessary to seek a simple, ease-to-implement, and highly reliable identification method and system.
A technical problem resolved in the present invention is to provide, in view of the complexity of the existing methods for identifying a cavity position of a structure, a method and system for identifying a cavity position of a structure based on global search, which is simple, easy-to-implement, and highly reliable.
To resolve the foregoing technical problem, the technical solutions adopted in the present invention are as follows:
A method for identifying a cavity position of a structure based on global search is provided, including the following steps:
Further, in step 1, a method for arranging the plurality of acoustic emission sensors at 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. The quantity of the acoustic emission sensors is related to the accuracy of cavity locating, and a larger quantity indicates higher accuracy. Positions of the acoustic emission sensors are known.
Further, the acoustic emission sensors need to be provided with a function of actively transmitting a pulse signal (sound wave signal). The pulse signal may be received by the acoustic emission sensors and specially marked to distinguish a microseismic signal.
Further, in step 1, suppose that an active seismic source, that is, an acoustic emission sensor that transmits a pulse signal, is Sl, coordinates of the active seismic source are (xl,yl,zl), a moment at which the active seismic source transmits the pulse signal is coordinates of a kth acoustic emission sensor Sk that receives the pulse signal is (xk,yk,zk), and an actual moment at which the pulse signal transmitted by Sl is t0k, a difference between an actual moment at which the acoustic emission sensor Sl transmits the pulse signal and an actual moment at which the acoustic emission sensor Sk receives the pulse signal is represented by Δt0lk, that is, actual travel time Δt0lk is:
Δt0lk=t0k−t0l.
Further, in step 2, a method for constructing the cavity models is as follows:
Further, in step 2, a commonly used shortest path tracking method is used to track the shortest paths of signal propagation between the acoustic emission sensors when each cavity model exists in the target area, to obtain the theoretical travel time of the signals between the acoustic emission sensors. Commonly used shortest path tracking methods include an A* algorithm, an ant colony algorithm, and a particle swarm algorithm.
Further, when the cavity model Pxyzr exists in the target area, a tracked shortest path between the acoustic emission sensor Sl that transmits a pulse and the acoustic emission sensor Sk that receives the pulse is Lxyzrlk, and a propagation speed of the pulse signal (in the target area, it is assumed that the propagation speed of the pulse signal in a non-cavity area is a constant value and is unknown) is V, theoretical travel time of the signal between Sl and Sk is:
Δtxyzrlk=Lxyzrlk/V.
Further, in step 3, according to a square of a difference between the theoretical travel time Δtxyzrlk and the actual travel time Δt0lk, a deviation D is introduced to describe the deviation degree of Pxyzr from an unknown cavity of the structure, and a deviation calculation formula is:
Each cavity model obtains a corresponding value of Dxyzr. A larger value of Dxyzr indicates a greater deviation degree of Pxyzr from the unknown cavity of the structure. Therefore, coordinates (x,y,z) corresponding to the smallest Dxyzr are used as coordinates of a sphere center of an identified cavity inside the structure, and the corresponding r is the radius of the identified cavity inside the structure.
The present invention further discloses a system for identifying a cavity position of a structure based on global search, including a plurality of acoustic emission sensors and a data processing module, where
The system uses the foregoing method for identifying a cavity position of a structure based on global search to identify the cavity position inside the structure.
The beneficial effects are as follows:
Acoustic emission has an increasingly wide range of applications with the maturity of acoustic emission technologies. As a dynamic non-destructive testing technology, acoustic emission can continuously monitor internal damage of a structure, and is applied to detecting the internal integrity of a structure in the present invention. The present invention takes into account the actual propagation status of elastic waves in medium. That is when an elastic wave propagates in a complex structure (material) including a cavity, a shortest time path between a seismic source and a station is a curve trajectory bypassing the cavity, and is no longer equivalent to a shortest distance path between the two points. Based on this, a shortest path of the elastic wave (acoustic wave) propagating from the seismic source to an acoustic emission sensor bypassing the cavity inside the structure is tracked, so that the shortest path is close to an actual path. In this way, the specific position and size of the cavity in the structure can be identified. The present invention has clear steps and is easy to operate, which does not require the measurement of the wave speed in advance and considers the actual propagation path of an elastic wave, thereby achieving high practicability and precise cavity locating. The present invention can be applied to many fields such as atomic energy, aviation, aerospace, metallurgical materials, earthquake, geology, petroleum, chemical, electric power, mining, and construction.
The present invention is further described with reference to the accompanying drawings and specific embodiments.
This embodiment discloses a method for identifying a cavity position of a structure based on global search, including the following steps:
Based on Embodiment 1, according, to this embodiment, in step 1, a method for arranging the plurality of acoustic emission sensors at 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.
Based on Embodiment 2, according to this embodiment, all the acoustic emission sensors have a pulse signal emission function.
Based on Embodiment 3, according to this embodiment, in step 1, suppose that an active seismic source, that is, an acoustic emission sensor that transmits a pulse signal, is Sl, coordinates of the active seismic source are (xl,yl,zl), a moment at which the active seismic source transmits the pulse signal is t0l, coordinates of a kth acoustic emission sensor Sk that receives the pulse signal is (xk,yk,zk) and an actual moment at which the pulse signal transmitted by Sl is t0k, actual travel time of the signal between the acoustic emission sensor Sl and the acoustic emission sensor Sk is: Δt0lk=t0k−t0l.
Based on Embodiment 4, according to this embodiment, in step 2, a commonly used shortest path tracking method is used to track the shortest paths of signal propagation between the acoustic emission sensors when each cavity model exists in the target area, to obtain the theoretical travel time of the signals between the acoustic emission sensors.
Based on Embodiment 4, according to this embodiment, in step 2, a method for constructing the cavity models is as follows:
Based on Embodiment 6, according to this embodiment, when the cavity model Pxyzr exists in the target area, a tracked shortest path between the acoustic emission sensor Sl that transmits a pulse signal and the acoustic emission sensor Sk that receives the pulse is Lxyzrlk, and a propagation speed of the pulse signal is V, theoretical travel time of the signal between the acoustic emission sensor Sl and the acoustic emission sensor Sk is: Δtxyzrlk=Lxyzrlk/V.
Based on Embodiment 7, according to this embodiment, in step 3, a deviation calculation formula is:
Dxyzr=Σl,k=1m(Δxyzrlk−Δt0lk)2.
A process of the method in this embodiment is shown in
This embodiment discloses a system for identifying a cavity position of a structure based on global search, including a plurality of acoustic emission sensors and a data processing module, where
The system in this embodiment uses the method for identifying a cavity position of a structure based on global search according to any one of the foregoing Embodiments 1 to 8 to identify the cavity position inside the structure.
Number | Date | Country | Kind |
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202010019166.3 | Jan 2020 | CN | national |
Filing Document | Filing Date | Country | Kind |
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PCT/CN2020/080623 | 3/23/2020 | WO |
Publishing Document | Publishing Date | Country | Kind |
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WO2021/139006 | 7/15/2021 | WO | A |
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Entry |
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Machine translation of CN 106124632-B (Year: 2016). |
Xu Huadong, et al., Effects of Cavity on Propagation Path of Stress Wave in Wood, Journal of Northeast Forestry University, 2014, pp. 82-84,88, vol. 42, No. 4. |
Number | Date | Country | |
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20230035322 A1 | Feb 2023 | US |