Abnormal Sound Diagnosis Support System

Abstract

To more fully assist a user in searching for an assumed abnormal noise similar to an abnormal noise occurred in a diagnosis target vehicle among a plurality of assumed abnormal noises in the diagnosis target vehicle.SOLUTION: An abnormal noise diagnosis support system for assisting a user in diagnosing an abnormal noise of a diagnosis target vehicle comprises: an acquisition section that acquires a plurality of assumed portions of the abnormal noise in the diagnosis target vehicle, at least one assumed abnormal noise at each of the assumed portions, and an assumed frequency of the abnormal noise at each of the assumed portions; and a processing section that superimposes the assumed frequency of the assumed abnormal noise for each of the assumed portions on an image of the diagnosis target vehicle and causes a display section to display the superimposed image, and plays back the assumed abnormal noise corresponding to the selected assumed portion and causes a noise output section to output the assumed abnormal noise when the user selects any of the assumed portions.SELECTED DRAWING: Figure 2

Description

Technical Field

[0001] The present invention relates to a abnormal noise diagnosis support system.

Background Art

[0002] Conventionally, as this type of abnormal noise diagnosis support system, a plurality of scene selection buttons and a plurality of symptom selection buttons are displayed on a display unit. When the content of a malfunction symptom relates to the occurrence of abnormal noise in a vehicle to be diagnosed, a sample abnormal noise output button is displayed on the display unit beside the symptom selection button (see, for example, Patent Document 1). Here, the scene selection button is a button for requesting selection of a driving operation scene where a malfunction symptom has occurred. The plurality of symptom selection buttons are buttons for requesting selection of the content of a malfunction symptom associated with the selection result of the scene selection button. The sample abnormal noise output button is a button for outputting a sample abnormal noise corresponding to a malfunction symptom.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] In the above abnormal noise diagnosis support system, since the user cannot grasp a location where the frequency of occurrence of abnormal noise is high (where abnormal noise is likely to occur) in the vehicle to be diagnosed, the user may have difficulty searching for an assumed abnormal noise similar to the abnormal noise generated in the vehicle to be diagnosed among a plurality of assumed abnormal noises (a plurality of sample abnormal noises) in the vehicle to be diagnosed.

[0005] The main object of the abnormal noise diagnosis support system of the present invention is to more sufficiently support the user in searching for an assumed abnormal noise similar to the abnormal noise generated in the vehicle to be diagnosed among a plurality of assumed abnormal noises in the vehicle to be diagnosed.

Means for Solving the Problems

[0006] The abnormal noise diagnosis support system of the present invention has adopted the following means to achieve the above main object.

[0007] [1] The abnormal noise diagnosis support system of the present invention is an abnormal noise diagnosis support system that supports the user in diagnosing abnormal noises in a vehicle to be diagnosed, an acquisition unit that acquires a plurality of assumed sites of abnormal noises in the vehicle to be diagnosed, at least one assumed abnormal noise at each of the assumed sites, and the assumed frequency of the abnormal noise at each of the assumed sites; a processing unit that superimposes and displays the assumed frequency for each of the assumed sites on an image of the vehicle to be diagnosed on a display unit, and when any one of the assumed sites is selected by the user, reproduces the assumed abnormal noise corresponding to the selected assumed site and outputs it from a sound output unit; The gist is that it comprises the above.

[0008] The abnormal noise diagnosis support system of the present invention includes an acquisition unit and a processing unit. The acquisition unit acquires a plurality of assumed parts where abnormal noises occur in the vehicle to be diagnosed, at least one assumed abnormal noise at each assumed part, and the assumed frequency of the abnormal noise at each assumed part. The processing unit superimposes the assumed frequency for each assumed part on the image of the vehicle to be diagnosed and displays it on the display unit. Then, when any assumed part is selected by the user, the processing unit reproduces the assumed abnormal noise corresponding to the selected assumed part and outputs it from the sound output unit. A user who uses this abnormal noise diagnosis support system first listens to the abnormal noise (raw abnormal noise) generated in the vehicle to be diagnosed and roughly grasps the location where the abnormal noise occurs. Subsequently, the user selects an assumed part around the location where the abnormal noise occurs from the plurality of assumed parts displayed on the display unit. At this time, not only the plurality of assumed parts but also the assumed frequency of the abnormal noise (the ease of occurrence of the abnormal noise) at each assumed part are displayed on the display unit, so the user can select an assumed part (assumed part for reproduction) for reproducing the assumed abnormal noise with reference to the assumed frequency. Then, the user listens to the reproduced assumed abnormal noise (the assumed abnormal noise corresponding to the assumed part for reproduction) and determines whether the abnormal noise generated in the vehicle to be diagnosed is similar to the reproduced assumed abnormal noise. In this way, the user can search for an assumed abnormal noise similar to the abnormal noise generated in the vehicle to be diagnosed. As described above, since the user can select the assumed part for reproduction with reference to the assumed frequency, it becomes easier to search for an assumed abnormal noise (similar assumed abnormal noise) similar to the abnormal noise generated in the vehicle to be diagnosed. That is, the abnormal noise diagnosis support system of the present invention can more sufficiently support the user in searching for a similar assumed abnormal noise. And if the user obtains the cause and / or countermeasure method of the abnormal noise corresponding to the similar assumed abnormal noise, the user can obtain the cause and / or countermeasure method of the abnormal noise corresponding to the abnormal noise generated in the vehicle to be diagnosed.

[0009] [2] In the above abnormal noise diagnosis support system (the abnormal noise diagnosis support system described in [1]), the assumed abnormal noise of the vehicle to be diagnosed may be an abnormal noise obtained by subjecting a past detected abnormal noise, which is of the same type as the vehicle to be diagnosed in terms of vehicle type and power train type, to filtering processing. Here, the filtering processing may be processing using a filter that emphasizes a predetermined frequency band (attenuates frequencies outside the predetermined frequency band). The predetermined frequency band may be, for example, a frequency band in which it is easier for the user to recognize the abnormal noise.

[0010] [3] When the assumed abnormal noise of the vehicle to be diagnosed is an abnormal noise obtained by subjecting a past detected abnormal noise of the same type as the vehicle to be diagnosed to filtering processing (in the abnormal noise diagnosis support system described in [2]), when the processing unit determines, based on the judgment of the user, that the abnormal noise (raw abnormal noise) generated in the vehicle to be diagnosed is similar to the reproduced assumed abnormal noise, the processing unit may cause the display unit to display the cause and / or countermeasure method of the abnormal noise corresponding to the reproduced assumed abnormal noise. By doing so, the user can grasp the cause and / or countermeasure method of the abnormal noise generated in the vehicle to be diagnosed based on the cause and / or countermeasure method of the abnormal noise corresponding to the reproduced assumed abnormal noise.

[0011] [4] In the case where the assumed abnormal noise of the vehicle to be diagnosed is an abnormal noise obtained by filtering the past detected abnormal noise of the same type as the diagnosis target, in the abnormal noise diagnosis support system described in [2], a recording unit for recording the sound as a recorded sound for each part of the vehicle to be diagnosed is further provided. When any one of the assumed abnormal noises is selected by the user, the processing unit performs the same filter processing as the filter processing performed when generating the selected assumed abnormal noise on the recorded sound of the same part as the assumed part corresponding to the selected assumed abnormal noise among each part of the vehicle to be diagnosed, generates a filtered sound, and may reproduce the generated filtered sound and output it from the sound output unit. In this way, the user can listen and compare the filtered sound with the assumed abnormal noise selected by the user and determine the presence or absence of similarity between the two. Since the same filter processing is performed on the filtered sound and the assumed abnormal noise selected by the user during their respective generations, the user can more easily determine the presence or absence of similarity between the two.

[0012] [5] In this case (in the abnormal noise diagnosis support system described in [4]), when the processing unit determines that the filtered sound and the selected assumed abnormal noise are similar by the user, the processing unit may display the cause and / or countermeasure method of the abnormal noise corresponding to the selected assumed abnormal noise on the display unit. In this way, the user can grasp the cause and / or countermeasure method of the abnormal noise generated in the vehicle to be diagnosed based on the cause and / or countermeasure method of the abnormal noise corresponding to the selected assumed abnormal noise.

[0013] [6] In the above abnormal noise diagnosis support system (the abnormal noise diagnosis support system described in any one of [1] to [5]), a recording unit for recording the sound as a recorded sound for each part of the vehicle to be diagnosed is further provided. The processing unit estimates the occurrence location of the abnormal noise in the vehicle to be diagnosed by artificial intelligence based on the recorded sound for each part of the vehicle to be diagnosed, and may display the assumed frequency at the assumed part around the estimated occurrence location on the display unit. "Around the occurrence location" in this case means within a predetermined range centered on the occurrence location.

Brief Description of the Drawings

[0014]

Figure 1

Figure 2

Figure 3

Figure 4

Embodiments for Carrying Out the Invention

[0015] Next, embodiments for carrying out the present invention will be described using examples.

Examples

[0016] FIG. 1 is a configuration diagram showing an outline of the configuration of the abnormal noise diagnosis support system 10 as an embodiment of the present invention. The abnormal noise diagnosis support system 10 of the embodiment is a system for supporting the abnormal noise diagnosis of the vehicle V to be diagnosed, and includes a mobile terminal 20 capable of communicating with a server 40. Examples of the type of the vehicle V to be diagnosed include an engine vehicle, a hybrid vehicle, an electric vehicle, and a fuel cell vehicle. An engine vehicle includes only an engine as a power source. A hybrid vehicle includes an engine and a motor as power sources. An electric vehicle and a fuel cell vehicle include only a motor as a power source. Hereinafter, the server 40 will be described, and then the mobile terminal 20 will be described.

[0017] The server 40 is configured as a well-known computer and has a CPU, ROM, RAM, auxiliary storage device (e.g., flash memory, etc.), main storage device (e.g., HDD, SSD, etc.), communication module, and the like. A database 42 is stored in the main storage device. The database 42 stores, for each vehicle type and each powertrain type, a plurality of assumed sites of abnormal noise, a sound file and a list of sound files of the assumed abnormal noise, and an assumed frequency, in association with each other. The assumed site is a site where the occurrence of abnormal noise is assumed. In the embodiment, the assumed site is set to the site where abnormal noise has been detected in the past. The assumed abnormal noise is the abnormal noise whose occurrence is assumed at the corresponding assumed site. In the embodiment, the sound file of the assumed abnormal noise is generated by subjecting the abnormal noise (hereinafter referred to as "previously detected abnormal noise") detected in the past at the corresponding assumed site to filtering processing. Here, the filtering processing is a process using a frequency filter that emphasizes a predetermined frequency band (attenuates outside the predetermined frequency band). The predetermined frequency band is, for example, a frequency band in which it is easier for the user to recognize the abnormal noise. The filtering processing (frequency filter) may be different for each previously detected abnormal noise or may be the same regardless of the previously detected abnormal noise. For each assumed site, there are a number (e.g., the number of previously detected abnormal noises) of sound files of the assumed abnormal noise according to the assumed frequency, which may be one or more. The assumed frequency is the frequency of the abnormal noise (the ease of occurrence of the abnormal noise) at the corresponding assumed site. In the embodiment, the assumed frequency is the cumulative number of times or the number of times per unit period in which abnormal noise has been detected in the past at the corresponding assumed site. Further, the database 42 stores, for each vehicle type and each powertrain type, in association with each other, the sound file of the assumed abnormal noise and the cause and / or countermeasure (method for eliminating the abnormal noise) of the abnormal noise.

[0018] When the mobile terminal 20 executes a reproduction test to reproduce abnormal noises using the diagnostic target vehicle V in which abnormal noises have occurred, it is used by an operator (a user of the abnormal noise diagnosis support system 10) such as a vehicle dealership or a repair shop. This mobile terminal 20 is, for example, a smartphone or a tablet terminal, and includes a SoC having a CPU and a GPU, a ROM, a RAM, an auxiliary storage device (flash memory), a display (display unit) 21, a speaker (sound output unit) 22, a camera 23, a microphone 24, a communication module 25, and the like. The display 21 is configured as a touch panel type display. The speaker 22 outputs sound. The camera 23 images the surroundings. The microphone 24 collects ambient sound. The communication module 25 exchanges various information with the electronic control device of the diagnostic target vehicle V via short-range wireless communication, or exchanges various information with the server 40 via a network such as the Internet.

[0019] An abnormal noise diagnosis support application (software) is installed in the mobile terminal 20. The mobile terminal 20 includes an acquisition unit 26, a recording unit (recording unit) 27, and a processing unit 28. The acquisition unit 26, the recording unit 27, and the processing unit 28 are each configured by the cooperation of an abnormal noise diagnosis support application (software) and hardware such as the SoC, ROM, RAM, display 21, speaker 22, camera 23, microphone 24, and communication module 25. The acquisition unit 26 acquires various information from the diagnostic target vehicle V and the server 40. The recording unit 27 performs recording. Specifically, the recording unit 27 records an image and sound as a recorded image and recorded sound. The processing unit 28 performs various processes and controls the display 21.

[0020] Next, the abnormal noise diagnosis procedure using the abnormal noise diagnosis support system 10 will be described. When an operator (user of the abnormal noise diagnosis support system 10) at a vehicle dealership, repair shop, etc. receives a request from the owner of the vehicle V to be diagnosed to identify the cause of the abnormal noise and eliminate the abnormal noise, each wheel of the vehicle V to be diagnosed is placed on the roller of the chassis dynamometer and operated together with the roller. Note that the operator may operate the vehicle V to be diagnosed in a parked state. Also, the operator starts the abnormal noise diagnosis support application on the mobile terminal 20. FIG. 2 is a flowchart showing an example of each process of the abnormal noise diagnosis support application.

[0021] In the abnormal noise diagnosis support application of FIG. 2, first, the acquisition unit 26 of the mobile terminal 20 acquires vehicle information such as the vehicle type, power train type, and vehicle body identification number of the vehicle V to be diagnosed from the electronic control unit of the vehicle V to be diagnosed (step S100). Note that the vehicle information may be input from a dongle in which the information of the vehicle V to be diagnosed is stored, or may be input to the mobile terminal 20 by the operator.

[0022] Subsequently, the processing unit 28 of the mobile terminal 20 causes the display 21 to display a video shooting request for the engine room (accommodation room for power sources, etc.) of the vehicle V to be diagnosed and a video shooting button (step S110). FIG. 3 is an explanatory diagram showing an example of the state when an operator shoots the engine room of the vehicle V to be diagnosed. In the case of an engine vehicle, the engine room houses an engine, an alternator, a battery, a radiator, a cooling water tank (radiator tank), a brake fluid tank (brake oil tank), a washer fluid tank, a fuse box, etc. First, the operator taps the video shooting button displayed on the display 21. Subsequently, the operator slowly moves the mobile terminal 20 at a substantially constant speed, for example, as shown by the arrow in FIG. 3, and shoots a video of the engine room of the vehicle V to be diagnosed for each part (area). After that, the operator taps the video shooting stop button displayed on the display 21. The recording unit 27 of the mobile terminal 20 records images and sounds as recorded images and recorded sounds for each part of the engine room of the vehicle V to be diagnosed during the shooting, that is, from when the video shooting button is tapped by the operator until the video shooting stop button is tapped (step S120).

[0023] Then, the processing unit 28 acquires information on the same type of diagnosis target that has the same vehicle type and power train type as the vehicle V to be diagnosed from the database 42 of the server 40 (step S130). Here, the information on the same type of diagnosis target includes a plurality of assumed parts of abnormal sounds, at least one sound file of an assumed abnormal sound and a list of sound files for each assumed part, and the assumed frequency of abnormal sounds for each assumed part.

[0024] When the processing unit 28 acquires the information on the same type of diagnosis target, it superimposes the assumed frequency of abnormal sounds for each assumed part of the same type of diagnosis target on the recorded image of the entire engine room of the vehicle V to be diagnosed and causes the display 21 to display it (step S140). FIG. 4 is an explanatory diagram showing an example of the image displayed on the display 21 in this process.

[0025] When an operator taps (selects) any of the assumed parts, the processing unit 28 causes the display 21 to display a list of sound files of assumed abnormal sounds for the assumed part (step S150). Then, when the operator taps (selects) any of the sound files of the assumed abnormal sounds, the processing unit 28 plays the sound file of the assumed abnormal sound and outputs it from the speaker 22 (step S160). The number of times of the processing in steps S150 and S160 is not limited to once by the operator's operation, and may be performed multiple times.

[0026] The operation of the operator during the processing of steps S120 to S160 will be described. The operator uses the mobile terminal 20 to take a video of the engine room of the vehicle V to be diagnosed for each part while listening to the abnormal sound (raw abnormal sound) generated in the vehicle V to be diagnosed, and roughly grasps the generation part of the abnormal sound. Subsequently, the operator selects an assumed part around the generation part from the plurality of assumed parts displayed on the display 21 and listens to at least one assumed abnormal sound of the assumed part. At this time, not only a plurality of assumed parts but also the assumed frequency (the ease of occurrence of the abnormal sound) of the abnormal sound for each assumed part are displayed on the display 21. Therefore, the operator can select an assumed part (hereinafter referred to as "assumed part for reproduction") for reproducing the assumed abnormal sound with reference to the assumed frequency. As a result, it becomes easier for the operator to select the assumed part for reproduction and to search for an assumed abnormal sound (hereinafter referred to as "similar assumed abnormal sound") similar to the abnormal sound generated in the vehicle V to be diagnosed.

[0027] After that, the processing unit 28 causes the display 21 to display a confirmation request as to whether there is a similar assumed abnormal sound among the one or more reproduced assumed abnormal sounds (step S170). When the operator determines that there is no similar assumed abnormal sound and taps (selects) the button to that effect, the processing unit 28 recognizes this (step S180). In this case, the processing unit 28 estimates the cause and / or countermeasure method (method for eliminating the abnormal sound) of the abnormal sound by artificial intelligence (AI) based on the recorded sound for each part of the engine room of the vehicle V to be diagnosed, and causes the display 21 to display it (step S240). Then, this routine ends. The process of step S240 is performed, for example, as follows. The acquisition unit 26 acquires a learned model from the server 40. Here, the learned model is a model that associates the sound for each part of the engine room of the same type as the diagnosis target with the cause and / or countermeasure method of the abnormal sound. The artificial intelligence applies the recorded sound for each part to the learned model to estimate the cause and / or countermeasure method of the abnormal sound.

[0028] After the process of step S170, when the operator determines that there is a similar assumed abnormal sound and taps (selects) the button to that effect, the processing unit 28 recognizes this (step S180). In this case, the processing unit 28 causes the display 21 to display a selection request for the similar assumed abnormal sound (step S190). In this case, for example, the processing unit 28 causes the display 21 to display a list of the reproduced assumed abnormal sounds. The operator taps (selects) the sound file of the assumed abnormal sound that is determined to be similar to the abnormal sound generated in the vehicle V to be diagnosed from the list. In this way, the mobile terminal 20 can assist the operator in selecting a similar assumed abnormal sound.

[0029] When the operator selects a similar assumed abnormal sound, the processing unit 28 performs predetermined filter processing on the recorded sound of a predetermined part in the engine room of the vehicle V to be diagnosed to generate a filtered sound, and plays the generated filtered sound and outputs it from the speaker 22 (step S200). Here, the predetermined part is the same part as the assumed part corresponding to the similar assumed abnormal sound in the same type of vehicle to be diagnosed among the respective parts of the engine room of the vehicle V to be diagnosed. The predetermined filter processing is the same filter processing as the filter processing performed when generating the similar assumed abnormal sound in the same type of vehicle to be diagnosed.

[0030] Subsequently, the processing unit 28 causes the display 21 to display a confirmation request as to whether the filtered sound and the similar assumed abnormal sound are similar (step S210). Then, when the operator determines that the filtered sound and the similar assumed abnormal sound are similar and taps (selects) the button to that effect, the processing unit 28 recognizes this (step S220). In this case, the processing unit 28 acquires from the database 42 of the server 40 the cause and / or countermeasure method (method for eliminating the abnormal sound) of the abnormal sound corresponding to the sound file of the similar assumed abnormal sound in the same type of vehicle to be diagnosed and causes the display 21 to display it (step S230). Then, this routine ends. As a result, the operator can grasp the cause and / or countermeasure method of the abnormal sound generated in the vehicle to be diagnosed based on the cause and / or countermeasure method of the abnormal sound corresponding to the sound file of the similar assumed abnormal sound.

[0031] In the embodiment, by the processing of step S170, the operator can listen and compare the abnormal sound (raw abnormal sound) generated in the vehicle V to be diagnosed with the assumed abnormal sound to determine the presence or absence of similarity between the two, and search for an assumed abnormal sound (similar assumed abnormal sound) similar to the abnormal sound generated in the vehicle V to be diagnosed. Then, by the processing of step S210, the operator can listen and compare the filtered sound with the assumed abnormal sound (similar assumed abnormal sound) to determine the presence or absence of similarity between the two. Since the same filter processing is performed on the filtered sound and the similar assumed abnormal sound during their respective generations, the operator can more easily determine the presence or absence of similarity between the two.

[0032] Further, when the processing unit 28 estimates the cause and / or countermeasure method of abnormal noise by artificial intelligence based on the recorded images and recorded sounds for each part of the engine room of the vehicle V to be diagnosed, the operator may feel distrust in the estimation result because they cannot understand the method for estimating the cause and / or countermeasure method of abnormal noise. Also, when the estimation result estimated based on preconceived notions or past experience by the operator differs from the estimation result by artificial intelligence, the operator may also feel distrust in the estimation accuracy of the artificial intelligence. In contrast, in the embodiment, the operator determines the presence or absence of similarity between the abnormal noise (raw abnormal noise) generated in the vehicle V to be diagnosed and the assumed abnormal noise, and the presence or absence of similarity between the filter noise and the assumed abnormal noise (similar assumed abnormal noise), and the processing unit 28 causes the display 21 to display the cause and / or countermeasure method of the abnormal noise corresponding to the sound file of the similar assumed abnormal noise. As a result, it becomes easier for the operator to be convinced of the cause and / or target method of the abnormal noise displayed on the display 21.

[0033] Note that in the embodiment, after the process of step S210, when the operator determines that the filter noise and the similar assumed abnormal noise are similar, the processing unit 28 sets the sound file of the filter noise as the sound file of the assumed abnormal noise, and transmits this sound file to the server 40 in association with the assumed part and the cause and / or countermeasure method of the abnormal noise. The server 40 stores the assumed part, the sound file of the assumed abnormal noise, and the cause and / or countermeasure method of the abnormal noise from the mobile terminal 20 in the database 42 and updates the assumed frequency of the abnormal noise of the corresponding assumed part. In this way, information is accumulated in the database 42.

[0034] After the process of step S220, when the operator determines that the filter noise and the similar assumed abnormal noise are not similar and taps (selects) the button to that effect, the processing unit 28 recognizes this (step S220). In this case, the processing unit 28 executes the process of step S240 described above, and this routine ends.

[0035] In the abnormal noise diagnosis support system 10 of the embodiment described above, the processing unit 28 of the mobile terminal 20 superimposes the assumed frequency of abnormal noise on the recorded image of the entire engine room of the vehicle V to be diagnosed for each assumed part of the same type to be diagnosed (the same vehicle type and power train type as the vehicle V to be diagnosed), and causes the display 21 to display it. Then, when an operator selects any one of the assumed parts, the processing unit 28 causes the display 21 to display a list of sound files of the assumed abnormal noise for that assumed part. Further, when an operator selects a sound file of any one of the assumed abnormal noises, the processing unit 28 plays back the sound file of the assumed abnormal noise and outputs it from the speaker 22. Since the display 21 displays not only a plurality of assumed parts but also the assumed frequency of abnormal noise (the ease of occurrence of abnormal noise) for each assumed part, the operator can select an assumed part (assumed part for playback) for playing back the assumed abnormal noise with reference to the assumed frequency, and play back the assumed abnormal noise of the selected assumed part for playback. As a result, it becomes easier for the operator to search for an assumed abnormal noise (similar assumed abnormal noise) similar to the abnormal noise (raw abnormal noise) generated in the vehicle V to be diagnosed. That is, the abnormal noise diagnosis support system 10 can more sufficiently support the operator in searching for similar assumed abnormal noises.

[0036] Also, in the abnormal noise diagnosis support system 10 of the embodiment, when an operator selects a similar assumed abnormal noise, the processing unit 28 performs predetermined filter processing on the recorded sound of a predetermined part of the engine room of the vehicle V to be diagnosed to generate a filtered sound, plays back the generated filtered sound, and outputs it from the speaker 22. Here, the predetermined part is the same part as the assumed part corresponding to the similar assumed abnormal noise in the same type to be diagnosed among the respective parts of the engine room of the vehicle V to be diagnosed. The predetermined filter processing is the same filter processing as the filter processing performed when generating the similar assumed abnormal noise in the same type to be diagnosed. By such processing, the operator can listen and compare the filtered sound and the assumed abnormal noise (similar assumed abnormal noise) and determine the presence or absence of similarity between the two. Since the same filter processing is performed on the filtered sound and the similar assumed abnormal noise during their respective generations, the operator can more easily determine the presence or absence of similarity between the two.

[0037] In the embodiment, after the process of step S170, when the operator determines that there is a similar assumed abnormal sound and the processing unit 28 recognizes this, the following process is performed. The processing unit 28 executes the processes of steps S190 to S210. When the operator determines that the filter sound and the similar assumed abnormal sound are similar and the processing unit 28 recognizes this (step S220), the processing unit 28 causes the cause of the abnormal sound and / or the countermeasure method (method for eliminating the abnormal sound) corresponding to the sound file of the similar assumed abnormal sound to be displayed on the display 21 (step S230). However, after the process of step S170, when the operator determines that there is a similar assumed abnormal sound and the processing unit 28 recognizes this, the processing unit 28 may immediately cause the cause of the abnormal sound and / or the countermeasure method corresponding to the sound file of the similar assumed abnormal sound to be displayed on the display 21 without executing the processes of steps S190 to S220.

[0038] In the embodiment, the processing unit 28 causes the assumed frequency of the abnormal sound to be superimposed on the recorded image of the entire engine room of the vehicle V to be diagnosed and displayed on the display 21 for each assumed part of the same type as the diagnosis target (step S140). However, the processing unit 28 estimates the occurrence location of the abnormal sound in the vehicle V to be diagnosed by artificial intelligence (AI) based on the recorded sound for each part of the engine room of the vehicle V to be diagnosed, and superimposes the assumed frequency of the abnormal sound at the assumed part around the estimated occurrence location on the recorded image of the entire engine room of the vehicle V to be diagnosed and displays it on the display 21. Here, the artificial intelligence applies the recorded sound for each part to a learned model that associates the sound for each part of the engine room of the same type as the diagnosis target with the occurrence location of the abnormal sound to estimate the occurrence location. Also, "around the occurrence location" in this case means within a predetermined range centered on the occurrence location. By such processing, since the number of assumed parts displayed on the display 21 is limited, it becomes easier for the operator to search for an assumed abnormal sound (similar assumed abnormal sound) similar to the abnormal sound generated in the vehicle V to be diagnosed.

[0039] In the embodiment, the abnormal sound diagnosis support system 10 is provided with the mobile terminal 20. However, the abnormal sound diagnosis support system 10 may be provided with the mobile terminal 20 and the server 40. In this case, in the abnormal sound diagnosis support application of FIG. 2, processes such as generating the filtered sound in step S200 and estimating the cause and / or countermeasure method of the abnormal sound by artificial intelligence in step S240 may be performed by the server 40 instead of being performed by the processing unit 28 of the mobile terminal 20.

[0040] The correspondence between the main elements of the embodiment and the main elements of the invention described in the column of means for solving the problems will be described. In the embodiment, the acquisition unit 26 corresponds to the "acquisition unit", and the processing unit 28 corresponds to the "processing unit". Also, the recording unit 27 corresponds to the "recording unit".

[0041] Note that the correspondence between the main elements of the embodiment and the main elements of the invention described in the column of means for solving the problems is an example for specifically explaining the form for implementing the invention described in the column of means for solving the problems in the embodiment, and thus does not limit the elements of the invention described in the column of means for solving the problems. That is, the interpretation of the invention described in the column of means for solving the problems should be made based on the description in that column, and the embodiment is merely a specific example of the invention described in the column of means for solving the problems.

[0042] As described above, the embodiments have been used to explain the forms for implementing the present invention. However, the present invention is not limited to such embodiments, and it goes without saying that the present invention can be implemented in various forms without departing from the gist of the present invention.

Industrial Applicability

[0043] The present invention can be used in the manufacturing industry of abnormal sound diagnosis support systems and the like.

Explanation of Reference Numerals

[0044] 10 Abnormal sound diagnosis support system, 20 Mobile terminal, 21 Display, 22 Speaker, 23 Camera, 24 Microphone, 25 Communication module, 26 Acquisition unit, 27 Recording unit, 28 Processing unit, 40 Server, 42 Database, V Vehicle to be diagnosed.

Claims

1. A abnormal noise diagnosis support system for supporting a user in diagnosing abnormal noises in a vehicle to be diagnosed, a recording unit that records sounds as recorded sounds for each part of the vehicle to be diagnosed, an acquisition unit that acquires a plurality of assumed parts of abnormal noises in the vehicle to be diagnosed, at least one assumed abnormal noise at each of the assumed parts, and an assumed frequency of abnormal noises at each of the assumed parts, on an image of the vehicle to be diagnosed, the assumed frequency is superimposed for each of the assumed parts and displayed on a display unit, and when any one of the assumed parts is selected by the user, a list of the assumed abnormal noises for the selected assumed part is displayed on the display unit, and when any one of the assumed abnormal noises is selected from the list by the user, a processing unit that reproduces the selected assumed abnormal noise and outputs it from a sound output unit, comprising, the assumed abnormal noise of the vehicle to be diagnosed is an abnormal noise obtained by subjecting a past detected abnormal noise detected in the past in the same diagnostic target type having the same vehicle type and power train type as the vehicle to be diagnosed to a filtering process, when a similar assumed abnormal noise, which is an assumed abnormal noise similar to the abnormal noise in the vehicle to be diagnosed, is selected by the user, the processing unit applies the same filtering process as the filtering process applied in generating the similar assumed abnormal noise to the recorded sound of the same part as the assumed part corresponding to the similar assumed abnormal noise among each part of the vehicle to be diagnosed to generate a filtered sound, and reproduces the generated filtered sound and outputs it from the sound output unit, Abnormal noise diagnosis support system.

2. The abnormal noise diagnosis support system according to claim 1, when it is determined by the user that the filtered sound and the selected assumed abnormal noise are similar, the processing unit displays, on the display unit, the cause and / or countermeasure method of the abnormal noise corresponding to the selected assumed abnormal noise, Abnormal noise diagnosis support system.

3. The abnormal noise diagnosis support system according to claim 1, The processing unit estimates, by artificial intelligence, the sound generation site in the vehicle to be diagnosed based on the recorded sound for each part of the vehicle to be diagnosed, and causes the display unit to display the assumed frequency at the assumed site around the estimated sound generation site. Abnormal sound diagnosis support system.

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