JP5985281B2 - Portable terminal, vibroacoustic measurement system, and vibroacoustic measurement method - Google Patents

Description

  The present embodiment relates to a portable terminal for maintaining and diagnosing a rotating machine, a vibroacoustic measurement system, and a vibroacoustic measurement method.

− Maintenance (maintenance) of rotating machinery −
A rotating machine (rotating device) such as an electric motor is partially or entirely deteriorated or damaged as the operation time elapses. For example, a bearing device that supports a rotor of an electric motor deteriorates with time and causes abnormal vibration. Conventionally, an abnormal phenomenon is first detected in the sense of hearing, and then the vibration acceleration is measured (measured), analyzed and maintained by the acceleration sensor where the abnormal sound of the rotating machine is generated.

-Current status of measuring equipment-
Abnormality diagnosis often detects abnormalities in a rotating machine in terms of hearing, so acoustic diagnosis is most desirable from the viewpoint of work efficiency and safety. The installation of the acceleration sensor also requires a safety risk because it needs to be close to the rotating machine. Therefore, it goes without saying that non-contact measurement using an acoustic microphone is desirable from the viewpoint of work efficiency and safety.
Many acoustic microphones for measuring vibroacoustics have been proposed today. For this reason, several vibroacoustic measuring apparatuses using such an apparatus having an acoustic microphone have been proposed.

JP 2007-236935 A JP 2006-208074 A

However, the acoustic microphone has a problem that it can only record information about a part to be measured by voice.
In addition, the mainstream method is to fix the acoustic microphone in one place and measure the abnormal site. However, it is difficult to specify an abnormal sound generation site only by hearing. For example, a rotating machine needs to specify an abnormality occurrence site accurately. If the periphery of the rotating machine is measured with an acoustic microphone, it may be possible to specify which part of the rotating machine is abnormal based on the level of the sound level. However, it is difficult to accurately specify the location of the acoustic microphone that measured the rotating machine from the measurement result of the acoustic microphone at the time of analysis.

  The present invention has been made in view of the above circumstances, and an object thereof is to provide a portable terminal, a vibroacoustic measurement system, and a vibroacoustic measurement method that improve the efficiency of maintenance and diagnosis of a rotating machine.

  According to the embodiment, the mobile terminal includes an imaging unit, a sound collection unit, a target detection unit, a signal processing unit, and a signal analysis unit. The photographing unit photographs an image to be photographed. The sound collecting means measures a radiated sound of the photographing target. The target detection unit detects a measurement target from an image captured by the shooting unit. The signal processing means converts the radiated sound measured by the sound collecting means into a digital acoustic signal. When the target detection unit detects the measurement target from the captured image, the signal analysis unit analyzes the acoustic signal based on a preset analysis condition and diagnoses the state of the measurement target.

Schematic which shows the vibroacoustic measuring system which concerns on embodiment. The figure which shows an example of the video imaging | photography of the rotary machine by the portable terminal which concerns on embodiment. The figure which shows an example of the picked-up image which concerns on embodiment. The model figure which displayed the edge information of the original image which concerns on embodiment, and the edge information of a picked-up image. The model figure which displayed the edge information of the original image which concerns on embodiment, and the edge information of a picked-up image. The model figure which displayed the marker information of the original image and marker information of a picked-up image which concern on embodiment. The model figure which displayed the marker information of the original image and marker information of a picked-up image which concern on embodiment. The model figure which image | photographs a rotary machine from the position which left | separated only distance A 'with the portable terminal which concerns on embodiment. The model figure which image | photographs a rotary machine from the position which left | separated only distance B 'with the portable terminal which concerns on embodiment. The graph which shows the frequency characteristic and correction curve of the portable terminal which concern on embodiment. The graph which shows the correction curve of the portable terminal which concerns on embodiment, and the frequency characteristic after correction | amendment. The figure which shows the picked-up image and acoustic signal which concern on embodiment in relation. The figure which shows the example of the information communicated between control PC and portable terminal which concerns on embodiment.

Hereinafter, this embodiment will be described with reference to the drawings.
FIG. 1 is a schematic diagram showing a vibroacoustic measurement system 1 according to the present embodiment. The vibroacoustic measurement system 1 includes a portable terminal 2 and a control PC (Personal Computer) 3.
The mobile terminal 2 is, for example, a PDA (Personal Digital Assistant), a mobile phone, a smart phone, a digital camera, a video camera, or the like, but is not limited thereto. The portable terminal 2 should just have the imaging | photography function and sound collection function which are mentioned later. The portable terminal 2 includes a control unit 21, a storage unit 22, an imaging unit (imaging unit) 23, a sound collection unit (sound collection unit) 24, a communication unit 25, and a display unit 26.

  The control unit 21 controls the operation of each unit in the mobile terminal 2. The control unit 21 includes a target detection unit 211, a signal processing unit 212, a signal analysis unit 213, and a recording control unit 214. The operation of each means will be described later. The storage unit 22 has a function of storing an operation program of the control unit 21. The storage unit 22 has a function of temporarily storing various data. The photographing unit 23 is a sensor having a photographing function for recording moving images or still images. The sound collection unit 24 is an acoustic microphone having a sound collection function for recording. The communication unit 25 communicates with the control PC 3 in a wireless or wired manner and transmits / receives data. The display unit 26 is a display that displays data such as images.

  The control PC 3 includes a control unit 31, a storage unit (storage unit) 32, a communication unit 33, and a display unit 34. The control unit 31 controls the operation of each unit in the control PC 3. The operation of the control unit 31 will be described later. The storage unit 32 has a function of storing an operation program of the control unit 31. The storage unit 32 has a function of temporarily storing various data. The communication unit 33 communicates with the mobile terminal 2 wirelessly or by wire to transmit and receive data. The display unit 34 is a monitor that displays data such as images.

  Next, video shooting of the rotating machine 4 to be measured by the mobile terminal 2 will be described. FIG. 2 is a diagram illustrating an example of video shooting of the rotating machine 4 by the mobile terminal 2. As an example, the rotating machine 4 is a motor (electric motor) in which a pump 5 is connected to a rotating shaft. The rotating machine 4 is not limited to this. The vibroacoustic measurement system 1 is not limited to the rotating machine 4 and can be applied to a machine that vibrates by driving.

  The mobile terminal 2 uses the photographing unit 23 and the sound collecting unit 24 to take a video image of the outer peripheral surface of the rotating rotating machine 4 that is a photographing target during acoustic diagnosis of the rotating machine 4. The imaging unit 23 captures an image of the rotating machine 4 and acquires an image signal. The sound collection unit 24 measures the radiated sound of the rotary machine 4 and acquires an acoustic signal. The mobile terminal 2 moves from the position A to the position B on the outer periphery of the rotating machine 4 and continuously shoots the outer peripheral surface of the rotating machine 4 by video. Therefore, the mobile terminal 2 acquires an image signal and an acoustic signal corresponding to the moving time from the position A to the position B. The control unit 21 records, in the storage unit 22, image data based on a signal of a currently captured image (hereinafter referred to as a captured image) and acoustic data based on a currently measured acoustic signal. The mobile terminal 2 may be moved manually or automatically.

  Next, acoustic diagnosis processing and management processing of the rotating machine 4 using image data and acoustic data acquired by the mobile terminal 2 will be described together with the operation of each unit. It is assumed that the portable terminal 2 has downloaded information necessary for acoustic diagnosis processing (hereinafter referred to as analysis information) from the control PC 3 via the communication unit 25. The analysis information includes the original image of the rotating machine 4 to be measured, the edge part information or the marker part information registered for each measuring object, the operation / machine information of the rotating machine 4 (rotation speed, bearing specifications, The number of poles, the number of slots, the slot combination value for an electric motor, the number of blades for a pump, the number of guide wings, the total number of teeth for a gear box or gear), and the signal analysis means 213 as described later. It includes at least one of analysis conditions for analyzing the acoustic signal. Note that the original image is an image of the outer peripheral surface of the rotating machine 4 that is a measurement target that has not been driven at the time of initial installation (normal time) and has been previously captured by the above-described method. The original image may be uploaded in advance by the mobile terminal 2 to the control PC 3.

  The operation of the object detection unit 211 will be described. The target detection unit 211 acquires an original image of the rotating machine 4 that is a measurement target. The control unit 21 downloads an original image from the control PC 3 and temporarily stores it in the storage unit 22 at the start of acoustic diagnosis. The original image may be stored in the storage unit 22 in advance.

  The object detection unit 211 detects (extracts) a feature graphic (partial) or a whole image (entire view) of the measurement target part of the rotating machine 4 from the captured image by comparing the captured image with the original image. The measurement target part is a part (for example, (load side of the rotary machine 4), frame fin (frame), fan cover (anti-load side), etc.) registered in advance in the rotary machine 4. That is, the target detection unit 211 analyzes and determines the presence / absence of the feature graphic or the entire image of the measurement target portion of the rotating machine 4 in the captured image (the presence / absence of matching with the feature graphic or the entire image). Note that, when the rotating machine 4 has a plurality of measurement target parts, the target detection unit 211 may detect different measurement target parts for each captured image. The object detection unit 211 determines the comparison between the captured image and the original image using, for example, an image matching technique. The main algorithm is the residual sequential test method. It should be noted that the fact that the object detection unit 211 always analyzes and determines the presence / absence of the entire image of the measurement target region in the captured image is a factor that increases the processing time. Therefore, the target detection unit 211 may mainly detect the feature graphic of the measurement target part from the captured image.

  Next, an example of a method in which the target detection unit 211 detects a feature graphic of a measurement target part from a captured image will be described. FIG. 3 is a diagram illustrating an example of a captured image of a measurement target portion (bearing housing) as an example. The method for detecting the measurement target region from the captured image shows a method for obtaining the edge portion 41 that is a characteristic figure of the measurement target region from the captured image, and the type of the rotating device 4 attached to the outer peripheral surface of the housing of the rotating device 4. Although the method of applying the nameplate 42 as a marker can be considered, it is not limited to these.

  A method for obtaining the edge portion 41 will be described. Note that the target detection unit 211 can derive information on the edge portion 41 of the original image (hereinafter referred to as edge information of the original image) from the original image. Further, the target detection unit 211 can derive information on the edge portion 41 of the captured image (hereinafter referred to as edge information of the captured image) from the captured image, for example, by image differentiation and binarization processing. As described above, the target detection unit 211 acquires the edge information of the original image and the edge information of the captured image.

  FIG. 4 is a model diagram in which the edge information of the original image and the edge information of the captured image are displayed simultaneously. That is, the target detection unit 211 superimposes the edge information of the original image on the captured image. The solid line in FIG. 4 is edge information of the captured image, and the broken line is edge information of the original image. FIG. 5 is a model diagram in which the background captured image is deleted and only the edge information of the captured image and the edge information of the original image are displayed simultaneously. The object detection unit 211 can determine the presence or absence of a feature graphic in the captured image by comparing and inspecting the edge information of the captured image and the edge information of the original image. As an example, the object detection unit 211 can match the edge information of the original image by contracting the edge information of the captured image and performing matching. That is, the target detection unit 211 detects the measurement target part from the captured image based on the captured image and the edge information of the original image. When the target detection unit 211 determines that the edge information of the captured image matches the edge information of the original image, the control unit 21 activates an acoustic diagnosis process. That is, the control unit 21 automatically activates the acoustic diagnosis process at the time of video shooting by pattern matching between the edge information of the captured image and the edge information of the original image. When the target detection unit 211 determines that the edge information of the captured image does not match the edge information of the original image, the control unit 21 determines that the edge information of the captured image is not a preset measurement target part. Does not start the acoustic diagnosis process.

  Next, a method for applying the nameplate 42 as a marker will be described. The nameplate 42 is disposed at a predetermined position on the surface of the rotary machine 4. On the nameplate 42, identification information such as a simple symbol or character having a shape is written in advance as a marker. It should be noted that a marker may be entered in advance on the surface of the rotary machine 4 instead of on the nameplate 42. The object detection unit 211 can derive information on the nameplate 42 of the original image (hereinafter referred to as marker information of the original image) from the original image. Furthermore, the target detection unit 211 can derive information on the nameplate 42 of the captured image (hereinafter referred to as marker information of the captured image) from the captured image. As described above, the target detection unit 211 acquires the marker information of the original image and the marker information of the captured image.

  FIG. 6 is a model diagram in which the marker information of the original image and the marker information of the photographed image are displayed at the same time. That is, the target detection unit 211 superimposes the marker information (broken line) of the original image on the captured image. FIG. 7 is a model diagram in which only the marker information of the photographed image is cut out from the photographed image shown in FIG. 6 and compared with the marker information of the original image. The target detection unit 211 can determine the presence or absence of a feature graphic in the captured image by comparing and inspecting the marker information of the captured image and the marker information of the original image. As an example, contrary to the method of obtaining the edge portion 41, the target detection unit 211 can match the marker information of the original image by enlarging the marker information of the captured image and performing matching. That is, the target detection unit 211 detects the measurement target part from the captured image based on the captured image and the marker information of the original image. When the target detection unit 211 determines that the marker information of the captured image matches the marker information of the original image, the control unit 21 starts an acoustic diagnosis process. That is, the control unit 21 automatically activates an acoustic diagnosis process during video shooting by pattern matching between the marker information of the captured image and the marker information of the original image. If the target detection unit 211 determines that the marker information of the captured image does not match the marker information of the original image, the control unit 21 determines that the marker information of the captured image is not a preset measurement target part. Does not start the acoustic diagnosis process. Note that the control unit 21 can not only identify the type of the rotating machine 4 based on the marker information of the photographed image, but can also specify a measurement target part (in the case of an electric motor, a bearing cover, a frame fin, a fan cover, etc.). This is because different markers (shapes) are written on the nameplate 42 for each rotating machine 4.

  Furthermore, the object detection unit 211 compares the captured image with the original image, so that the photographing position of the rotating machine 4 by the portable terminal 2 (the distance from the rotating machine 4 that has taken the video for the portable terminal 2 to acquire the photographed image). ) Can be detected. That is, when it is determined that the captured image and the original image match, the target detection unit 211 detects (estimates) the captured position from the position and size of the measurement target part in the captured image. For example, the target detection unit 211 compares the dimension A of the marker information of the captured image shown in FIG. 7 with the dimension B of the marker information of the original image. The target detection unit 211 quantitatively determines how much the shooting position of the shot image is different from the shooting position of the original image based on the difference in shape between the measurement target portion in the shot image and the measurement target portion in the original image. Judgment. The object detection unit 211 corrects the information on the shooting position of the shot image based on the determination result.

  Here, an example of the method for specifying the shooting position will be described. FIG. 8 is a model diagram of photographing the rotating machine 4 from the position separated by the distance A ′ with the portable terminal 2. FIG. 9 is a model diagram of photographing the rotating machine 4 from a position separated by a distance B ′ (> A ′) with the mobile terminal 2. The object detection unit 211 can acquire a captured image at a position separated by a distance A ′ as a larger image than a captured image at a position separated by a distance B ′. The object detection unit 211 can identify the shooting position of the shot image and correct the shooting position of the shot image by comparing the size of the edge information of the original image with the size of the edge information of the shot image. 8 and 9 show diagrams relating to the method of obtaining the edge portion 41, but the same applies to the method of applying the nameplate 42 as a marker.

  When the mobile terminal 2 takes a video of the rotating machine 4 by the overlay display method, the target detection unit 211 may omit the above-described shooting position specifying process. The overlay display method is a method of taking a video while displaying an original image (still image) of a measurement target region on the display unit 26 in a translucent manner. Since the mobile terminal 2 displays the original image on the display unit 26 in a translucent manner, if the rotating machine 4 is video-recorded so as to overlap the original image, the captured image can be easily captured at the position where the original image was captured. Note that the mobile terminal 2 displays the edge information (or marker information) of the original image of the measurement target region on the display unit 26 in a translucent manner and overlaps the edge information (or marker information) of the original image. If a video is taken, a photographed image can be easily photographed at the photographing position of the original image.

  Next, the operation of the signal processing means 212 will be described. When the sound processing unit 212 converts the sound signal based on the radiated sound measured at the time of video shooting into a digital sound signal, the signal processing unit 212 has a frequency characteristic and a shooting position according to the mobile terminal 2 (sound collecting unit 24). Both of the corresponding signal levels are corrected (adjusted).

  The correction of the frequency characteristic will be described. The frequency characteristic (acoustic measurement function) of the mobile terminal 2 is not always constant (flat) across the entire measurement frequency band (10 to 100,000 Hz), unlike a general sound level meter. The frequency characteristic may be attenuated depending on the band. When the sound band to be measured is attenuated, the mobile terminal 2 cannot correctly determine the state of the rotating machine 4. Therefore, the signal processing unit 1221 corrects the frequency characteristic. For example, the signal processing unit 1221 adjusts the signal detection range (voltage) and the discretization period (measurement frequency band) based on the target machine 4 (its ID) detected by the target detection unit 211.

  FIG. 10 shows frequency characteristics as an example of results (horizontal axis frequency, vertical axis FFT level) in which the mobile terminal 2 measures a sweep signal (acoustic signal) of 1 to 10000 Hz and performs FFT (Fast Fourier Transformation) analysis. It is a graph which shows the correction | amendment curve (broken line) which corrects this with a continuous line. As can be seen from FIG. 10, the level of the frequency characteristic is not constant, and the sensitivity of the mobile terminal 2 (sound collector 24) is different for each band. Therefore, the control unit 21 obtains in advance a correction curve as indicated by a wavy line from the frequency characteristics and stores it in the storage unit 22. The correction curve is obtained by inverting the frequency characteristic. The signal processing unit 1221 corrects the frequency characteristic (attenuation or amplification during measurement) of the acoustic signal using the correction curve stored in the storage unit 22.

  FIG. 11 is an example of a graph (horizontal axis frequency, vertical axis FFT level) showing the waveform (solid line) of the correction curve shown in FIG. 10 and the corrected frequency characteristic (broken line). The corrected frequency characteristic is corrected to a constant level in the entire band. The signal processing unit 1221 can correct the acoustic signal so that it becomes a constant level in the entire band by applying a correction curve to the measured acoustic signal and correcting it. That is, the correction curve is stored in the storage unit 22 in a state set in advance so as to amplify the band even if the band is particularly attenuated. Therefore, the portable terminal 2 can perform acoustic diagnosis (recording analysis) on minute abnormal sounds generated by each rotating machine 4 in all bands.

  The signal level correction according to the shooting position will be described. The signal processing unit 212 corrects the signal level according to the difference in the shooting position (distance) specified by the target detection unit 211. That is, the signal processing unit 212 corrects the signal level according to the distance ratio. For example, the signal processing unit 212 measures the signal level while shifting the distance from the rotary machine 4 in advance, and uses a table in which the degree of attenuation or amplification of the signal level is obtained in advance. The level can be corrected.

  Next, the operation of the signal analysis means 213 will be described. FIG. 12 is a diagram showing the captured image and the acoustic signal obtained when video is captured with the mobile terminal 2 by the method shown in FIG. The acoustic signal graph of FIG. 12 shows time on the horizontal axis and signal level on the vertical axis. The signal analysis unit 213 can specify the presence / absence of the original image and the imaging position in the captured image at each measurement target part of the rotating machine 4 by the signal analysis unit 213. Image), its shooting position information, and the relationship (shooting timing) with the simultaneously measured sound signal (synchronization). Therefore, when the target detection unit 211 detects the measurement target part from the captured image, the signal analysis unit 213 analyzes the acoustic signal based on a preset analysis condition (state determination value) and performs measurement as follows. Diagnose the condition of the target site. The signal analyzing unit 213 analyzes the acoustic signal for each measurement target part.

  The signal analysis unit 213 compares the judgment level of a signal having a specific frequency set in advance with the acoustic signal corrected by the signal processing unit 212. Further, the signal analysis unit 213 obtains the rotation n-order component in the acoustic signal based on the set rotation speed information of the rotating machine 4 and detects the actual rotation speed. Further, the signal analysis means 213 determines the presence or absence of an abnormality from the level of parameters inherent to the machine (bearing path frequency for a bearing, tooth contact frequency for a gear box, blade cutting frequency for a pump, etc.). That is, the signal analysis unit 213 diagnoses the state of each measurement target part of the rotating machine 4 based on preset analysis conditions.

  The signal analyzing unit 213 automatically uses a diagnostic algorithm (diagnostic method) set for each measurement target region, each imaging position, or each combination thereof according to at least one of the measurement target region and the imaging position. It may be provided with a function of switching to (adding) and starting and changing the analysis condition to analyze the acoustic signal. As an example, the signal analysis unit 213 sets that the unbalance is to be equally applied to all parts, and automatically activates the bearing diagnosis function (bearing diagnosis algorithm) when the bearing cover enters the imaging target during video shooting. . As another example, the signal analysis unit 213 automatically activates an analysis process of electromagnetic noise and unbalanced abnormal noise at the timing of capturing a frame. The function of the signal analysis means 213 as described above is a function that cannot be performed by measurement using only an acoustic microphone.

Next, the operation of the recording control unit 214 will be described. The recording control means 214 creates an electronic file at every measurement timing (every video shooting). That is, the recording control unit 214 records the measurement result including the captured image and the acoustic signal related by the signal analysis unit 213 in the storage unit 22 as one electronic file. Furthermore, the recording control means 214 creates an electronic file of measurement results for each measurement target part during video shooting. That is, the recording control unit 214 starts the acoustic diagnosis process every time the target detection unit 211 specifies that a measurement target part (for example, characteristic edge information or marker information) is present in the captured image. In addition, the measurement result is recorded in the storage unit 22 as one electronic file.
The acoustic diagnosis processing is completed by the processing of each unit of the mobile terminal 2 as described above. Thereafter, the control unit 21 uploads a diagnostic result file in which analysis information is added to the measurement result recorded in the storage unit 22 by the recording control unit 214 to the control PC 3 via the communication unit 25.

  Next, the operation of the control unit 31 of the control PC 3 will be described. The control unit 31 transmits and receives various types of information to and from the mobile terminal 2 in response to a user request or automatically during the acoustic diagnosis process. FIG. 13 shows an example of information communicated between the control PC 3 and the portable terminal 2. The control unit (transmission means) 31 transmits analysis information to be downloaded to the mobile terminal 2 through the communication unit 33 before starting the acoustic diagnosis process. The analysis information is stored in the storage unit 32.

  Furthermore, the control unit (reception unit) 31 receives a diagnostic result file uploaded from the mobile terminal 2 after the acoustic diagnosis process is completed via the communication unit 33. The control unit 31 records the diagnosis result file in the storage unit 32. Furthermore, the control unit 31 automatically specifies the measurement target part of the rotating machine 4 from the captured image included in the diagnosis result file, and stores the diagnosis result file in a place (electronic file folder) managed for each measurement target part. save. Therefore, the control PC 3 can prevent the diagnosis result file from being erroneously transferred to another electronic file folder.

The control unit 31 may display information on the diagnosis result file on the display unit 34 when the diagnosis result file is uploaded. Further, the control unit 31 may check a captured image included in the diagnosis result file and check whether there is a contradiction in the measurement result.
The management process is terminated by the process of the control PC 3 as described above.

  According to this embodiment, the acoustic diagnosis process and management process of the rotating machine 4 can be automated. Furthermore, since the portable terminal 2 which is a measuring device of the rotating machine 4 is excellent in portability, the vibration phenomenon of the rotating machine 4 can be video-recorded more easily. Therefore, the monitoring burden of the rotating machine 4 by the supervisor can be reduced, and damage accidents of the rotating machine 4 can be prevented easily and in advance.

  Although several embodiments of the present invention have been described, these embodiments are presented by way of example and are not intended to limit the scope of the invention. These novel embodiments can be implemented in various other forms, and various omissions, replacements, and changes can be made without departing from the scope of the invention. These embodiments and modifications thereof are included in the scope and gist of the invention, and are included in the invention described in the claims and the equivalents thereof.

  DESCRIPTION OF SYMBOLS 1 ... Vibration acoustic measurement system, 2 ... Portable terminal, 3 ... Control PC, 4 ... Rotating machine, 21 ... Control part, 22 ... Memory | storage part, 23 ... Imaging | photography part 24 ... Sound collecting part, 25 ... Communication part, 26 ... Display , 31: control unit, 32 ... storage unit, 33 ... communication unit, 34 ... display unit, 41 ... edge portion, 42 ... name plate, 211 ... target detection unit, 212 ... signal processing unit, 213 ... signal analysis unit, 214: Recording control means.

Claims (9)

Photographing means for photographing an image to be photographed;
Sound collecting means for measuring the radiated sound of the photographing object;
Target detection means for detecting a measurement target from a photographed image by the photographing means;
Signal processing means for converting the radiated sound measured by the sound collecting means into a digital acoustic signal;
When the target detection unit detects the measurement target from the captured image, the acoustic signal is analyzed based on a preset analysis condition, and a signal analysis unit that diagnoses the state of the measurement target;
Mobile terminal having.   The portable terminal according to claim 1, wherein the target detection unit detects a photographing position of the photographing target by the portable terminal by comparing the photographed image with the measurement target image.   The portable terminal according to claim 2, wherein the signal processing unit corrects both a frequency characteristic corresponding to the sound collecting unit and a signal level corresponding to the photographing position.   The portable terminal according to claim 2, wherein the target detection unit detects the measurement target from the captured image based on edge information or marker information.   The portable terminal according to claim 2, wherein the target detection unit detects a part of the measurement target that is different for each captured image.   The portable terminal according to claim 5, wherein the signal analysis unit analyzes the acoustic signal for each of the parts.   The mobile terminal according to claim 6, wherein the signal analysis unit activates an algorithm set for each measurement target region or each imaging position to change the analysis condition. The mobile terminal according to any one of claims 1 to 7,
Transmitting means for transmitting the analysis condition to the portable terminal;
Receiving means for receiving a measurement result by the signal analyzing means from the portable terminal;
Storage means for storing the measurement results;
A control PC having
A vibro-acoustic measurement system. Get the shot image to be shot,
Measure the sound emitted from the subject,
A measurement object is detected from the captured image,
Converting the radiated sound into a digital acoustic signal;
When the measurement target is detected from the captured image, the acoustic signal is analyzed based on preset analysis conditions, and the state of the measurement target is diagnosed.
Vibro-acoustic measurement method.

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