Method for diagnosis of facility based on focused ultrasonic measuring device and apparatus for performing the method

The method employs signal filtering and scanning units with frequency division and AI analysis to accurately locate leaks in industrial facilities by isolating target ultrasonic signals, overcoming noise interference and subtle crack detection challenges.

KR102992327B1Active Publication Date: 2026-07-21CHECK GUARD CO LTD
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Patent Information

Authority / Receiving Office
KR · KR
Patent Type
Patents
Current Assignee / Owner
CHECK GUARD CO LTD
Filing Date
2025-01-22
Publication Date
2026-07-21

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Abstract

The present invention relates to a method for diagnosing a facility based on an ultrasonic measuring instrument and an apparatus for performing such a method. The method for diagnosing a facility based on an ultrasonic measuring instrument may include the step of an ultrasonic measurement information receiving unit of a facility diagnosis server receiving ultrasonic signal information from a sound-collecting ultrasonic measuring instrument, and the step of an ultrasonic signal filtering unit of a facility diagnosis server filtering the ultrasonic signal information to determine a target ultrasonic signal.
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Description

Technology Field

[0001] The present invention relates to a method for diagnosing facilities based on an ultrasonic measuring instrument and an apparatus for performing such a method. More specifically, the invention relates to a method for diagnosing facilities based on an ultrasonic measuring instrument and an apparatus for performing such a method, for classifying information received by the ultrasonic measuring instrument to diagnose facilities. Background Technology

[0002] Ultrasonic measuring equipment is known by various names, such as ultrasonic diagnostic equipment, ultrasonic air leak detectors, ultrasonic measuring instruments, and ultrasonic leak detectors, and can be used for inspecting industrial facilities. For example, ultrasonic measuring equipment is used in various industrial fields, including steam trap inspection, bearing inspection, valve inspection, machinery inspection, and pipe detection. Furthermore, it utilizes ultrasound to detect leak locations.

[0003] When problems such as water or gas leaks occur in water or gas pipes, the cracked area must be located and repaired immediately; however, if the malfunction is not major, the crack is often very fine and difficult to distinguish with the naked eye.

[0004] Ultrasonic measuring equipment can be used to determine whether a leak exists or to detect the leak location by measuring the sound of water or gas pipes leaking using an ultrasonic sensor.

[0005] Therefore, research is needed on methods to diagnose facilities more accurately by performing analysis on information received through ultrasonic measurement equipment. The problem to be solved

[0006] The present invention aims to solve all of the aforementioned problems.

[0007] In addition, the present invention aims to accurately determine the location of a leak, the location of a leak, etc. on a facility by analyzing a signal received through an ultrasonic measuring instrument.

[0008] In addition, the present invention aims to accurately determine the location of a leak, the location of a leak, etc. on a facility through filtering ambient noise from a signal entering an ultrasonic measuring instrument and ultrasonic scanning based on the filtered signal. means of solving the problem

[0009] A representative configuration of the present invention for achieving the above objective is as follows.

[0010] According to one embodiment of the present invention, a facility diagnosis method based on an ultrasonic measuring instrument may include the step of an ultrasonic measuring information receiving unit of a facility diagnosis server receiving ultrasonic signal information from a sound-collecting ultrasonic measuring instrument, and the step of an ultrasonic signal filtering unit of the facility diagnosis server filtering the ultrasonic signal information to determine a target ultrasonic signal.

[0011] Meanwhile, the facility diagnosis method may include a step in which a target ultrasonic signal scanning unit of the facility diagnosis server generates a scanning result of the target ultrasonic signal, and a step in which a target location determination unit of the facility diagnosis server determines a target location corresponding to the target ultrasonic signal based on the scanning result.

[0012] In addition, the ultrasonic signal filtering unit can determine a target ultrasonic signal corresponding to a facility defect by performing frequency division and removing noise signals among candidate target ultrasonic signals corresponding to the frequency-divided ultrasonic signal.

[0013] According to another embodiment of the present invention, a facility diagnosis server that performs facility diagnosis based on an ultrasonic measuring instrument may include an ultrasonic measurement information receiving unit implemented to receive ultrasonic signal information from a sound-collecting ultrasonic measuring instrument and an ultrasonic signal filtering unit implemented to filter the ultrasonic signal information and determine a target ultrasonic signal.

[0014] Meanwhile, the facility diagnosis server may further include a target ultrasonic signal scanning unit that generates a scanning result of the target ultrasonic signal and a target location determination unit implemented to determine a target location corresponding to the target ultrasonic signal based on the scanning result.

[0015] In addition, the ultrasonic signal filtering unit can determine a target ultrasonic signal corresponding to a facility defect by performing frequency division and removing noise signals among candidate target ultrasonic signals corresponding to the frequency-divided ultrasonic signal. Effects of the invention

[0016] According to the present invention, the location of leakage, etc. on a facility can be accurately determined by analyzing the signal received through an ultrasonic measuring instrument.

[0017] In addition, according to the present invention, the location of a leak, etc. on a facility can be accurately determined through filtering of ambient noise from a signal entering an ultrasonic measuring instrument and ultrasonic scanning based on the filtered signal. Brief explanation of the drawing

[0018] FIG. 1 is a conceptual diagram showing a facility diagnosis system based on a sound-collecting ultrasonic measuring instrument according to an embodiment of the present invention. FIG. 2 is a conceptual diagram showing the operation of an ultrasonic signal filtering unit according to an embodiment of the present invention. FIG. 3 is a conceptual diagram showing the operation of an ultrasonic signal filtering unit according to an embodiment of the present invention. FIG. 4 is a conceptual diagram showing the operation of a target ultrasonic signal scanning unit according to an embodiment of the present invention. FIG. 5 is a conceptual diagram illustrating a method for tracking and observing the location of ultrasonic generation according to an embodiment of the present invention. Specific details for implementing the invention

[0019] The following detailed description of the invention refers to the accompanying drawings, which illustrate specific embodiments in which the invention may be practiced. These embodiments are described in sufficient detail to enable those skilled in the art to practice the invention. It should be understood that various embodiments of the invention are different but need not be mutually exclusive. For example, specific shapes, structures, and characteristics described herein may be modified from one embodiment to another without departing from the spirit and scope of the invention. It should also be understood that the location or arrangement of individual components within each embodiment may be modified without departing from the spirit and scope of the invention. Accordingly, the following detailed description is not meant to be limiting, and the scope of the invention should be understood to encompass the scope claimed by the claims and all equivalents thereof. Similar reference numerals in the drawings indicate identical or similar components across various aspects.

[0020] Hereinafter, in order to enable a person skilled in the art to easily practice the present invention, various preferred embodiments of the present invention will be described in detail with reference to the attached drawings.

[0022] FIG. 1 is a conceptual diagram showing a facility diagnosis system based on a sound-collecting ultrasonic measuring instrument according to an embodiment of the present invention.

[0023] Figure 1 discloses a facility diagnosis system for diagnosing a facility based on a signal received from a sound-collecting ultrasonic measuring instrument.

[0024] Referring to FIG. 1, the facility diagnosis system may include a facility diagnosis server (100) and a sound-collecting ultrasonic measuring instrument (105).

[0025] The facility diagnosis server (100) may include an ultrasonic measurement information receiving unit (110), an ultrasonic signal filtering unit (120), a target ultrasonic signal scanning unit (130), a target location determining unit (140), and a processor (150).

[0026] The ultrasonic measurement information receiving unit (110) can be implemented to receive ultrasonic signal information, measurement location screen information, etc., as ultrasonic measurement information from the sound-collecting ultrasonic measuring device (105). The sound-collecting ultrasonic measuring device (105) and the facility diagnosis server (100) can be connected via wired / wireless communication, and the sound-collecting ultrasonic measuring device (105) can transmit ultrasonic measurement information to the ultrasonic measurement information receiving unit (110).

[0027] The ultrasonic signal filtering unit (120) can be implemented to perform filtering on the received ultrasonic signal. The ultrasonic signal filtering unit (120) can be implemented to filter out noise signals other than facility defects through manual filtering and automatic filtering, and to leave only the target ultrasonic signal corresponding to the facility defect. Manual filtering involves dividing frequency sections and having the user actually listen to the sound corresponding to the frequency range to perform filtering. Automatic filtering involves performing filtering through learning about the noise signal and the target ultrasonic signal corresponding to the facility defect. The operation of the ultrasonic signal filtering unit (120) will be described later.

[0028] The target ultrasonic signal scanning unit (130) can be implemented to scan the target ultrasonic signal. The target ultrasonic signal scanning unit (130) can be implemented to scan the target location where the target ultrasonic signal is generated when the target ultrasonic signal is generated. If the target ultrasonic signal is captured at a specific location during measurement using the sound-collecting ultrasonic detector (105), a request for scanning of a specific range can be made to the sound-collecting ultrasonic detector (105) based on the change in magnitude of the target ultrasonic signal, and the scanning result using the sound-collecting ultrasonic detector (105) can be analyzed.

[0029] The target location determination unit (140) can be implemented to determine a target location based on the scanning result of the target ultrasound signal scanning unit. The target location determination unit (140) can provide a portion corresponding to the target location based on the scanning result of the target ultrasound signal scanning unit (130) as an additional identifier in the image.

[0030] A processor (150) can be implemented to control the operation of an ultrasonic measurement information receiving unit (110), an ultrasonic signal filtering unit (120), a target ultrasonic signal scanning unit (130), and a target position determining unit (140).

[0031] The sound-collecting ultrasonic measuring instrument (105) may include an ultrasonic measuring unit (115), a screen capturing unit (125), a distance measuring unit (135), a screen correction unit (145), a screen output unit (155), and a processor (165).

[0032] The ultrasonic measuring unit (105) can be implemented to perform measurement (or detection) of a specific location through ultrasonic measurement. For example, the ultrasonic measuring unit (105) can perform detection of defects occurring in facilities, such as leaks, water leaks, etc., through detection based on ultrasonic signals.

[0033] The screen imaging unit (125) can be implemented to capture images of the measurement location where ultrasonic measurement is performed. The screen imaging unit (125) can be linked with the ultrasonic measurement unit (115) to perform shooting at the measurement location where ultrasonic measurement is currently being performed. For example, if the ultrasonic measurement unit (115) measures location A, the screen imaging unit (125) can capture images of location A. The captured images can be output through the screen output unit (155) as corrected images through distance-based correction. There may be a difference in distance between the screen imaging unit (125) and the ultrasonic measurement unit (105), and depending on the measurement location, there may be a difference between the measurement location of the ultrasonic measurement unit (105) and the images captured by the screen imaging unit (125). Therefore, the captured images can be output through the screen output unit (155) as corrected images through distance-based correction based on the screen correction unit (145).

[0034] The screen capturing unit (125) may include a plurality of cameras, and the plurality of cameras may include at least two of a visible light camera, an infrared camera, a thermal imaging camera, and an ultraviolet camera.

[0035] The distance measuring unit (135) can be implemented to measure the distance to the measurement location. By measuring the distance to the measurement location, the distance value to the current measurement location can be determined.

[0036] The screen correction unit (145) may be implemented to perform correction on the screen by taking into account the distance to the measurement location. When the measurement location is close to a specific range relative to the sound-collecting ultrasonic measuring device (105), a difference may occur between the measurement location and the actual captured screen location. For example, assuming that the ultrasonic measuring unit (115) and the screen capturing unit (125) are positioned with a certain vertical distance from each other, when the measurement location relative to the sound-collecting ultrasonic measuring device (105) is greater than a specific threshold distance, the distance between the ultrasonic measuring unit (115) and the screen capturing unit (125) is not a significant issue, and the location captured on the screen and the measurement location may be the same.

[0037] Conversely, when the measurement location is less than a specific threshold distance based on the sound-collecting ultrasonic measuring instrument, due to the gap between the ultrasonic measuring unit (115) and the screen capturing unit (125), if the screen capturing unit (125) is located above the ultrasonic measuring unit (115) based on the measurement location of the ultrasonic measuring unit (115), the upper part of the measurement location is captured, and if the screen capturing unit (125) is located below the ultrasonic measuring unit (115), the lower part of the measurement location is captured.

[0038] Accordingly, the screen correction unit (145) can perform screen correction by considering the distance to the measurement position based on the sound-collecting ultrasonic measuring instrument (105).

[0039] More specifically, the X-axis distance between the center point of the ultrasound measuring unit and the center point of the image capturing unit may be denoted as a, and the distance measured by the distance measuring unit may be denoted as D1. The value to be corrected based on the X-axis of the image acquired by the image capturing unit can be calculated using the following mathematical formula 1.

[0040] <Mathematical Formula 1>

[0041]

[0042] In the equation θ is the lens angle of view of the image sensor, and Xres is the X-axis resolution of the image sensor. By calculating for the Y-axis in the same way, a value to be corrected for the Y-axis can be obtained.

[0043] Likewise, images acquired by other screen capturing units (e.g., ultraviolet camera, infrared camera) can also have alignment values ​​acquired based on the center point.

[0044] The screen output unit (155) can output a screen that takes into account the correction result of the screen correction unit (145). The screen may be a screen of the measurement location measured by the ultrasonic measurement unit.

[0045] The processor (165) can be implemented to control the operation of the ultrasonic measuring unit (115), the screen capturing unit (125), the distance measuring unit (135), the screen correction unit (135), and the screen output unit (155).

[0047] FIG. 2 is a conceptual diagram showing the operation of an ultrasonic signal filtering unit according to an embodiment of the present invention.

[0048] In FIG. 2, a method is disclosed in which an ultrasonic signal filtering unit filters out noise signals other than facility defects through manual filtering and leaves only target ultrasonic signals corresponding to facility defects.

[0049] Referring to FIG. 2, the ultrasonic signal filtering unit may include a filtering target signal determining unit (200) for manual filtering, a frequency division unit (210), a signal magnitude filtering unit (220), a target ultrasonic signal determining unit (230), and a target ultrasonic transmission unit (240).

[0050] The filtering target signal determination unit (200) can be implemented to determine a target signal to be filtered. For example, when an ultrasonic signal is received from a sound-collecting ultrasonic measuring instrument for one minute, it can be implemented to determine a filtering target signal to remove noise from among the ultrasonic signals received during one minute through filtering. First, the time region in which the ultrasonic signal is received can be determined as a candidate filtering target signal. Subsequently, only signals greater than or equal to a threshold size among the candidate filtering target signals can be selected and determined as the filtering target signal (205).

[0051] A frequency division unit (210) may be implemented to divide the frequency range of a signal to be filtered (205) into a plurality of sub-frequency ranges. The frequency division unit (210) may divide the frequency range into predetermined specific units, for example, 10 kHz units, or may divide the frequency range into different units by setting weights for each frequency range. For example, if the signal to be filtered is concentrated in a specific frequency range, the frequency range may be divided into smaller units to make a more specific judgment regarding the specific frequency range. According to an embodiment of the present invention, the frequency range may be divided into relatively small units to enable specific analysis of the frequency in a relatively high-density range by considering the density of the signal to be filtered. According to another embodiment of the present invention, division into relatively small units may be performed for the frequency range corresponding to the signal to be filtered (205) that has a threshold size or larger by considering the size of the signal to be filtered (205).

[0052] The signal size filtering unit (220) may be implemented to filter only the ultrasonic signal of the threshold filtering size in each of the multiple sub-frequency regions. The threshold filtering size may be the minimum size required to filter the noise signal. A candidate target ultrasonic signal (225) may be determined through the signal size filtering unit (220).

[0053] A target ultrasonic signal determination unit (230) may be implemented to determine a target ultrasonic signal (235) that ultimately corresponds to a facility defect among a plurality of candidate target ultrasonic signals (225). The target ultrasonic signal determination unit (230) provides a plurality of candidate target ultrasonic signals (225) to the user, and the user can determine the target ultrasonic signal (235) by determining a noise signal among the candidate target ultrasonic signals (225). The user can determine whether the sound is noise by listening to a sound corresponding to a candidate target ultrasonic signal (225) that includes an ultrasonic signal region. Alternatively, a judgment on whether the candidate target ultrasonic signal (225) is noise may be performed through a separate artificial intelligence algorithm. The artificial intelligence engine may learn whether the candidate target ultrasonic signal (225) is a noise signal or a target ultrasonic signal (235) through learning from the results of the user's judgment.

[0054] The target ultrasonic transmission unit (240) can be implemented to provide a target ultrasonic signal (235) corresponding to a filtered facility defect.

[0056] FIG. 3 is a conceptual diagram showing the operation of an ultrasonic signal filtering unit according to an embodiment of the present invention.

[0057] In FIG. 3, a method is disclosed in which an ultrasonic signal filtering unit filters out noise signals other than facility defects through automatic filtering and leaves only target ultrasonic signals corresponding to facility defects.

[0058] Referring to FIG. 3, the ultrasonic signal filtering unit can filter the target ultrasonic signal using an artificial intelligence engine (target ultrasonic) (300) generated through learning on a separate ultrasonic signal.

[0059] For the training of the artificial intelligence engine (target ultrasound) (300), training data for existing target ultrasound signals by location, facility, and facility defect can be utilized. The training data can be grouped into a single target ultrasound training data group consisting of location information, facility information, defect information, and target ultrasound information, and utilized for the training of the artificial intelligence engine (target ultrasound) (300).

[0060] Location information may include information regarding the location where the target ultrasonic signal was generated. For example, location information may include information regarding the location where a facility defect occurred, such as the AA manufacturing plant. Facility information may include information regarding the facility where the defect occurred. For example, facility information may include information such as manufacturing equipment B that generated the target ultrasonic. Defect information may include information regarding the facility where the defect occurred. For example, facility information may include information such as manufacturing equipment B that generated the target ultrasonic. Defect information may include information regarding the type of facility defect, such as electrical leakage or water leakage.

[0061] By learning from a group of target ultrasound learning data, the artificial intelligence engine (target ultrasound) (300) can determine the target ultrasound signal that may be generated at a specific location or facility.

[0062] When training an artificial intelligence engine (target ultrasound) (300) based on a target ultrasound training data group, location information and facility information can be clustered separately by considering the characteristics of the target ultrasound signal.

[0063] Target ultrasonic signals can be classified based on the similarity between signal information (amplitude, frequency, wavelength). Clustering can be performed on signals with similar information, and within each cluster, they can be grouped into higher-level locations or facilities based on the similarity of location and facility information. Signal information similarity can be determined through the analysis of the target ultrasonic signals by assigning relatively higher weights to elements among amplitude, frequency, and wavelength that reflect the characteristics of the target ultrasonic signal.

[0064] For example, target ultrasonic signal A and target ultrasonic signal B can be clustered based on signal information similarity determined by amplitude, frequency, and wavelength. In this case, location information A and facility information A correspond to target ultrasonic signal A, and location information B and facility information B correspond to target ultrasonic signal B.

[0065] In this case, if location information A and location information B are similar and this similar location information exceeds the first threshold number of data, and if facility information A and facility information B are similar and this similar location information exceeds the second threshold number of data, then location information A and location information B are grouped into a single location group and facility information A and facility information B are grouped into a single facility group so that they can be utilized during future learning.

[0066] In addition, in the present invention, a separate artificial intelligence engine (noise) (320) for filtering only noise signals can be trained. The artificial intelligence engine (noise) (320) can also be trained based on a noise learning data group.

[0067] The noise learning data group may include location information and facility information. Based on the location information and facility information, information about noise signals that may occur depending on the location and facility can be learned through the artificial intelligence engine (noise) (320).

[0068] The ultrasonic signal received from the sound-collecting ultrasonic measuring instrument is primarily filtered using an artificial intelligence engine (noise) (320) that has performed learning on such noise signals, and the target ultrasonic signal can be determined through an artificial intelligence engine (target ultrasonic) (300).

[0070] FIG. 4 is a conceptual diagram showing the operation of a target ultrasonic signal scanning unit according to an embodiment of the present invention.

[0071] In FIG. 4, a method for an ultrasonic signal scanning unit to scan a target ultrasonic signal is disclosed.

[0072] The ultrasonic signal scanning unit can be implemented to scan the target location where the target ultrasonic signal is generated when a signal corresponding to the target ultrasonic signal is detected but it is difficult to clearly determine the measurement location.

[0073] For ultrasonic signal scanning, a portion of the area where the target ultrasonic signal is generated can be set as the scanning area (400). The scanning area (400) is an area including the target measurement location where the target ultrasonic signal is generated, and can be set without knowing the exact target measurement location.

[0074] The scanning area (400) can be set by interpreting the screen corresponding to the degree of change in the magnitude of the target ultrasonic signal and the measurement position when the target ultrasonic signal is generated.

[0075] The degree of change in the magnitude of the target ultrasonic signal indicates the extent to which the magnitude of the target ultrasonic signal changes according to the movement of the sound-collecting ultrasonic measuring instrument. The greater the degree of change in the magnitude of the target ultrasonic signal, the closer the target measurement location is judged to be, and the scanning area (400) can be set to be relatively small. Conversely, the smaller the degree of change in the magnitude of the target ultrasonic signal, the farther the target measurement location is judged to be, and the scanning area (400) can be set to be relatively large.

[0076] A scanning area (400) can be set based on a facility capable of generating a target ultrasonic signal, based on a screen corresponding to the measurement location when the target ultrasonic signal is generated. For example, if there is an empty space, facility A, facility B, empty space, and facility C on the screen corresponding to the measurement location when the target ultrasonic signal is generated, the area corresponding to facility A, facility B, and facility C can be set as the scanning area (400).

[0077] The scanning area (400) set in this manner may include a scanning start area and a scanning end area, and the sound-collecting ultrasonic detector can accurately determine the target measurement location that generates the target ultrasonic signal by slowly scanning the scanning start area and the scanning end area. A phenomenon occurs in which the magnitude of the target ultrasonic signal gradually increases around the target measurement location that generates the target ultrasonic signal, and the peak point of the magnitude can be determined as the target measurement location based on the magnitude of this target ultrasonic signal.

[0079] FIG. 5 is a conceptual diagram illustrating a method for tracking and observing the location of ultrasonic generation according to an embodiment of the present invention.

[0080] FIG. 5 discloses a method for outputting to track the movement of an ultrasonic source at a measurement location in real time in a sound-collecting ultrasonic measuring instrument.

[0081] Referring to FIG. 5, a determination of the ultrasonic generation location, which is the target measurement location, is performed on the measurement location, and a screen may be provided to enable tracking of the ultrasonic generation location for verification of the ultrasonic generation location.

[0082] The ultrasonic source (500) corresponding to the target measurement location is divided into a fixed ultrasonic source (510) and a mobile ultrasonic source (520), and information regarding the location of the ultrasonic source can be provided through separate processing depending on whether it is a fixed ultrasonic source (510) or a mobile ultrasonic source (520).

[0083] Ultrasonic signal scanning (550) may be performed to determine whether the ultrasonic source (500) is a fixed ultrasonic source (510) or a mobile ultrasonic source (520) and to track the location of the ultrasonic source. Hereinafter, the ultrasonic signal generated by the fixed ultrasonic source (510) and the mobile ultrasonic source (520) is referred to as the target ultrasonic signal.

[0084] Ultrasonic signal scanning (550) involves scanning the target measurement location where the target ultrasonic signal is generated. For ultrasonic signal scanning (550), a portion of the area where the target ultrasonic signal is generated can be set as the scanning area. The scanning area is an area that includes the target measurement location where the target ultrasonic signal is generated, and can be set without knowing the exact target measurement location.

[0085] The scanning area can be set by interpreting the screen corresponding to the degree of change in the target ultrasonic signal magnitude and the measurement location at the time the target ultrasonic signal is generated. The degree of change in the target ultrasonic signal magnitude indicates the extent to which the magnitude of the target ultrasonic signal changes according to the movement of the sound-collecting ultrasonic detector. The relatively larger the degree of change in the target ultrasonic signal magnitude, the closer the target measurement location is judged to be, and the scanning area can be set relatively small. Conversely, the relatively smaller the degree of change in the target ultrasonic signal magnitude, the farther the target measurement location is judged to be, and the scanning area can be set relatively large.

[0086] According to an embodiment of the present invention, a scanning area can be set based on a facility capable of generating a target ultrasonic signal, based on a screen corresponding to a target measurement location when the target ultrasonic signal is generated. For example, if an empty space, facility A, facility B, empty space, and facility C exist on a screen corresponding to a target measurement location when the target ultrasonic signal is generated, the area corresponding to facility A, facility B, and facility C can be set as a scanning area.

[0087] The scanning area set in this manner may include a scanning start area and a scanning end area, and the sound-collecting ultrasonic detector can accurately determine the target measurement location that generates the target ultrasonic signal by slowly scanning the scanning start area and the scanning end area. A phenomenon occurs in which the magnitude of the target ultrasonic signal gradually increases around the target measurement location that generates the target ultrasonic signal, and the peak point of magnitude based on this magnitude can be determined as the target measurement location.

[0088] In the present invention, a primary scanning area as described above is first set, and a primary scanning result for the primary scanning area is performed n times to determine whether it is a fixed ultrasonic source or a moving ultrasonic source.

[0089] If the target ultrasound generation location does not change within a threshold range as a result of performing the first scanning result n times, it is determined to be a fixed ultrasound generation source (510), and the target ultrasound generation location can be provided as an ultrasound generation source on the screen.

[0090] When the target ultrasound generation location changes within a threshold range as a result of performing the first scanning result n times, it is determined to be a moving ultrasound generation source (520), and a second scanning area can be set considering the changing location of the moving ultrasound generation source (520).

[0091] The secondary scanning area can be determined by considering the change in the primary target ultrasound generation location based on the primary scanning results. Based on the primary target ultrasound generation location, a determination of the directionality and periodicity of the target ultrasound generation location can be performed.

[0092] A secondary scanning area is established by determining the direction and periodicity of the target ultrasound generation location, and a secondary target ultrasound generation location can be determined based on the secondary scanning results of the secondary scanning area. After determining the secondary target ultrasound generation location, a determination of the moving ultrasound generation source (520) can be performed.

[0093] When additional directional and / or periodicity regarding the secondary target ultrasonic generation location is confirmed in the secondary scanning results, an analysis of the cause that may cause movement of the ultrasonic generation source can be performed through analysis of the screen regarding the measurement location. For example, the ultrasonic generation location can be tracked by determining whether there is a moving ultrasonic generation source (520) due to the movement of a specific part in a moving device.

[0094] If additional directionality and / or periodicity regarding the location of the second target ultrasound generation is not confirmed in the second scanning result, the location of the nth target ultrasound generation may be determined through nth scanning to perform a procedure to confirm additional directionality and / or periodicity.

[0095] A determination of directionality and periodicity can be performed based on the primary target ultrasound generation location on the scanning area. Directionality can be determined by finding the direction in which the primary target ultrasound generation location is continuous. The target ultrasound generation locations can be connected by a single line (hereinafter, target ultrasound generation location connection line) considering the chronological order, and an analysis can be performed on whether the connected target ultrasound generation location connection line has a specific directionality and periodicity.

[0096] The target ultrasound generation location pattern generated by the target ultrasound generation location connection line can be determined by considering the repeatability of the image generated by the target ultrasound generation location connection line.

[0097] It is determined whether there are repeating images in the images generated by the connection lines of the target ultrasound generation locations, and if repeating images exist, they can be defined as a single target ultrasound generation location pattern. The existence of repeating images can be determined based on an algorithm that judges whether similar shapes are repeated. As the time unit changes, candidate pattern shapes are defined, and a single target ultrasound generation location pattern can be defined through the determination of whether the candidate pattern shapes are repeated.

[0098] Once the target ultrasound generation location pattern is determined, the directionality of the target ultrasound generation location and the periodicity of the target ultrasound generation location over time can be determined based on the target ultrasound generation location pattern.

[0100] The embodiments according to the present invention described above may be implemented in the form of program instructions that can be executed through various computer components and recorded on a computer-readable recording medium. The computer-readable recording medium may include program instructions, data files, data structures, etc., either individually or in combination. The program instructions recorded on the computer-readable recording medium may be those specifically designed and configured for the present invention or those known and available to those skilled in the art of computer software. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tapes; optical recording media such as CD-ROMs and DVDs; magneto-optical media such as floptical disks; and hardware devices specifically configured to store and execute program instructions, such as ROM, RAM, and flash memory. Examples of program instructions include machine code, such as that generated by a compiler, as well as high-level language code that can be executed by a computer using an interpreter, etc. Hardware devices may be modified into one or more software modules to perform processing according to the present invention, and vice versa.

[0101] Although the present invention has been described above with reference to specific details such as specific components, limited embodiments, and drawings, this is provided only to aid in a more comprehensive understanding of the invention, and the invention is not limited to the above embodiments, and a person skilled in the art to which the invention belongs can make various modifications and changes from this description.

[0102] Accordingly, the scope of the present invention should not be limited to the embodiments described above, and all scopes equivalent to or equivalently modified from the claims set forth below, as well as the claims set forth below, shall be considered to fall within the scope of the concept of the present invention.

Claims

Claim 1 The process includes: an ultrasonic measurement information receiving unit receiving ultrasonic signal information from a sound-collecting ultrasonic measuring instrument; an ultrasonic signal filtering unit filtering the ultrasonic signal information to determine a target ultrasonic signal; a target ultrasonic signal scanning unit generating a scanning result of scanning the target ultrasonic signal; and a target position determining unit determining a target position based on the scanning result, wherein the ultrasonic signal filtering unit comprises: a filtering target signal determining unit determining a signal to be filtered among the ultrasonic signal information; a frequency division unit dividing the frequency domain of the filtering target signal into a plurality of sub-frequency domains; a signal magnitude filtering unit determining a plurality of candidate target ultrasonic signals by filtering only ultrasonic signals having a threshold filtering magnitude in each of the plurality of sub-frequency domains; a target ultrasonic signal determining unit determining a target ultrasonic signal corresponding to a facility defect among the candidate target ultrasonic signals; and a target ultrasonic transmission unit providing the filtered target ultrasonic signal corresponding to the facility defect. A method for diagnosing a facility, characterized by comprising: a target ultrasonic artificial intelligence engine that, when filtering the target ultrasonic signal, uses existing training data for target ultrasonic signals by location, facility, and facility defect for training, and performs training by grouping the location information, facility information, defect information, and target ultrasonic information included in the training data into a single target ultrasonic training data group; and a noise artificial intelligence engine that, when filtering the target ultrasonic signal, learns by using a noise training data group including location information and facility information, and information on noise signals that may occur depending on the location and facility based on the location information and facility information. Claim 2 A method for diagnosing a facility according to claim 1, wherein the target ultrasonic signal scanning unit sets the scanning area by interpreting the degree of change in magnitude of the target ultrasonic signal and a screen corresponding to the measurement position at the time the target ultrasonic signal is generated, when setting a part of the area where the target ultrasonic signal is generated as a scanning area for ultrasonic signal scanning. Claim 3 A method for diagnosing a facility according to the second paragraph, wherein the target ultrasonic signal scanning unit determines the degree of change in magnitude of the target ultrasonic signal according to the movement of the sound-collecting ultrasonic measuring instrument, determines that the target measurement location is closer when the degree of change in magnitude of the target ultrasonic signal is greater and sets the scanning area small, and determines that the target measurement location is farther when the degree of change in magnitude of the target ultrasonic signal is smaller and sets the scanning area large. Claim 4 Ultrasonic measurement information receiving unit for receiving ultrasonic signal information from a sound-collecting ultrasonic measuring instrument; ultrasonic signal filtering unit for determining a target ultrasonic signal by filtering the ultrasonic signal information; target ultrasonic signal scanning unit for generating a scanning result of scanning the target ultrasonic signal; and target location determining unit for determining a target location based on the scanning result, wherein the ultrasonic signal filtering unit includes: a filtering target signal determining unit for determining a signal to be filtered among the ultrasonic signal information; a frequency division unit for dividing the frequency domain of the signal to be filtered into a plurality of sub-frequency domains; a signal magnitude filtering unit for determining a plurality of candidate target ultrasonic signals by filtering only ultrasonic signals having a threshold filtering magnitude in each of the plurality of sub-frequency domains; a target ultrasonic signal determining unit for determining a target ultrasonic signal corresponding to a facility defect among the candidate target ultrasonic signals; and a target ultrasonic transmission unit for providing the target ultrasonic signal corresponding to the filtered facility defect. A facility diagnosis server characterized by comprising: a target ultrasonic artificial intelligence engine that, when filtering the target ultrasonic signal, utilizes existing training data for target ultrasonic signals by location, facility, and facility defect for training, and performs training by grouping the location information, facility information, defect information, and target ultrasonic information included in the training data into a single target ultrasonic training data group; and a noise artificial intelligence engine that, when filtering the target ultrasonic signal, learns by utilizing a noise training data group including location information and facility information, and information on noise signals that may occur depending on the location and facility based on the location information and facility information. Claim 5 In claim 4, the facility diagnosis server is characterized in that, when the target ultrasonic signal scanning unit sets a part of the area where the target ultrasonic signal is generated as a scanning area for ultrasonic signal scanning, it interprets the degree of change in magnitude of the target ultrasonic signal and a screen corresponding to the measurement position at the time the target ultrasonic signal is generated to set the scanning area. Claim 6 In claim 5, the target ultrasonic signal scanning unit determines the degree of change in the magnitude of the target ultrasonic signal according to the movement of the sound-collecting ultrasonic measuring instrument, determines that the target measurement location is closer when the degree of change in the magnitude of the target ultrasonic signal is greater and sets the scanning area small, and determines that the target measurement location is farther when the degree of change in the magnitude of the target ultrasonic signal is smaller and sets the scanning area large, characterized by a facility diagnosis server.