Abnormal noise diagnostic system

Abstract

To identify a generation position of even an unknown abnormal sound.SOLUTION: An abnormal sound diagnosis system includes: a storage section for storing a database of body sensitivity data determined for each position of a sound source as a ratio of a sound pressure of a sound propagated from the sound source to a sound pressure of a sound generated by the sound source outside a vehicle cabin into the vehicle cabin; a sound acquisition section for acquiring sound data in the vehicle cabin as data on a sound in the vehicle cabin and monitor data as data on a sound outside the vehicle cabin; a body sensitivity acquisition section for acquiring body sensitivity data corresponding to an acquisition position at which the monitor data is acquired; a sound source estimation section for calculating sound source estimation data as data on a sound estimated to be generated at an abnormal sound source using the body sensitivity data and the sound data in the vehicle cabin; and a determination section for determining that there is an abnormal sound source in the vicinity of the acquisition position when the monitor data and the sound source estimation data match.SELECTED DRAWING: Figure 4

Description

Technical Field

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

Background Art

[0002] Conventionally, as this type of abnormal noise diagnosis system, a system for estimating the occurrence position of abnormal noise in a vehicle has been proposed (see particularly Patent Document 1). In this system, based on a map of known abnormal noise occurrence positions associated with the driving state of the vehicle and the driving state of the vehicle when a specific abnormal noise occurs, candidates for the occurrence position where the abnormal noise occurs are extracted, and then the sound is collected inside the vehicle cabin. Based on the frequency portion of the sound pressure of the collected sound, it is determined whether a predetermined candidate for the occurrence position is likely to be the actual occurrence position of the abnormal noise.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] In the above-mentioned abnormal noise diagnosis system, since a map of known abnormal noise occurrence positions is used, it is difficult to identify the occurrence position of an unknown abnormal noise when it occurs.

[0005] The main object of the abnormal noise diagnosis system of the present disclosure is to identify the occurrence position even for an unknown abnormal noise.

Means for Solving the Problems

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

[0007] The abnormal noise diagnosis system of the present disclosure A noise diagnosis system for diagnosing abnormal noises occurring in a vehicle, A storage unit that stores a database of body sensitivity data, which is defined for each location of a sound source as the ratio of the sound pressure of sound propagating from the sound source into the vehicle interior to the sound pressure of sound generated by the sound source outside the vehicle interior, A sound acquisition unit that acquires in-vehicle sound data as sound data from inside the vehicle and monitor data as sound data from outside the vehicle, A body sensitivity acquisition unit that acquires body sensitivity data corresponding to the acquisition position where the monitor data was acquired, A sound source estimation unit calculates sound source estimation data, which is estimated to be sound data originating from an abnormal noise source, using the body sensitivity data and the in-vehicle sound data. A determination unit determines that when the monitor data and the sound source estimation data match, the source of the abnormal noise is near the acquisition position. The gist of it is that it is equipped with the following features.

[0008] The abnormal noise diagnostic system disclosed herein stores a database of body sensitivity data, which is defined for each sound source location as the ratio of the sound pressure of sound propagated from the sound source into the vehicle interior to the sound pressure of sound generated at an external sound source. It acquires in-vehicle sound data as data of sound inside the vehicle interior and monitor data as data of sound outside the vehicle interior. Then, it acquires body sensitivity data corresponding to the acquisition location where the monitor data was acquired. Furthermore, it calculates sound source estimation data as data of sound estimated to be generated at the abnormal noise source using the body sensitivity data and the in-vehicle sound data. When the monitor data and the sound source estimation data match, it is determined that there is an abnormal noise source near the acquisition location. In this way, the location of the abnormal noise source can be identified without acquiring abnormal noise data in advance. As a result, even the location of an unknown abnormal noise can be identified.

[0009] In such an abnormal noise diagnostic system as disclosed herein, when the monitor data and the sound source estimation data match, the system may include a diagnostic unit that diagnoses the cause of the abnormal noise using the acquisition position. This allows for the identification of the cause of the abnormal noise with higher accuracy.

[0010] The system may also include a notification unit that informs the user of the determination result made by the determination unit when the monitoring data and the sound source estimation data match. This allows the user to recognize that the location of the abnormal sound has been identified. [Brief explanation of the drawing]

[0011] [Figure 1] This is a schematic diagram showing the abnormal sound diagnosis system 1 of the present disclosure. [Figure 2] This is an explanatory diagram showing the input screen (medical questionnaire) for medical information displayed on the display unit 11 of the mobile terminal 10 (or the above-mentioned website), and an example of input. [Figure 3] This is an explanatory diagram showing an example of body sensitivity data stored in database D. [Figure 4] This flowchart shows an example of the determination process performed by server 20 when determining the location of an abnormal noise. [Modes for carrying out the invention]

[0012] Next, we will describe the forms for implementing this disclosure.

[0013] Figure 1 is a schematic diagram showing the abnormal noise diagnosis system 1 of this disclosure. The abnormal noise diagnosis system 1 shown in the figure is for diagnosing the cause of abnormal noises occurring in a vehicle V, such as a vehicle equipped with only an engine as a power source, a hybrid vehicle equipped with both an engine and a motor as a power source, or an electric vehicle (including a fuel cell vehicle) equipped with only a motor as a power source, and includes a mobile terminal 10 and a server 20 that can exchange information with the mobile terminal 10 via communication.

[0014] The mobile terminal 10 is used by workers at vehicle dealerships, repair shops, etc. (users of the abnormal noise diagnosis system 1) to respond to the owner of the vehicle V that has produced an abnormal noise (user of the vehicle V), and to perform reproduction tests to reproduce the abnormal noise by driving (operating) the vehicle V on a roadway or test bench. In this embodiment, the mobile terminal 10 is a smartphone that includes an SoC including a CPU and GPU, ROM, RAM, auxiliary storage device (flash memory) M, display unit 11, communication module 12, microphone (not shown), etc., and an abnormal noise diagnosis support application (program) is installed on the mobile terminal 10. As shown in Figure 1, the mobile terminal 10 includes a medical interview information acquisition unit 13, a sound acquisition unit 14, a vehicle status acquisition unit 15, an arithmetic processing unit 16, an extraction unit 17, and a display control unit 18, which are constructed through the cooperation of the abnormal noise diagnosis support application (software) and hardware such as the display unit 11, communication module 12, SoC, ROM, RAM, and microphone.

[0015] The display unit 11 of the mobile terminal 10 includes a touch-panel liquid crystal panel or an organic EL panel. The communication module 12 can exchange various information with the electronic control unit of the vehicle V via short-range wireless communication or a cable (dongle), and can also exchange various information with the server 20 via a network such as the Internet. The medical information acquisition unit 13 is constructed in cooperation with the abnormal noise diagnosis support application, the display unit 11, the communication module 12, the SoC, ROM, and RAM, and acquires information indicating the state of the vehicle V at the time of abnormal noise occurrence (hereinafter referred to as "medical information") provided by the owner of the vehicle V, etc., via the display unit 11 or the communication module 12. The medical information may also be input into the mobile terminal 10 via the display unit 11 by a worker at a vehicle dealership, etc., who has interviewed the owner of the vehicle V, etc. Alternatively, the medical information may be input by the owner of the vehicle V, etc., from their own mobile information terminal or personal computer, etc., on a dedicated web page provided by the server 20, for example. In this case, the mobile terminal 10 acquires medical interview information from the server 20 via the communication module 12 in response to the operator's actions.

[0016] Figure 2 shows the input screen (questionnaire) for medical information displayed on the display unit 11 of the mobile terminal 10 (or the website mentioned above), and an example of input. The medical information includes, as partially shown in Figure 2, vehicle type information, requested information, date and time of occurrence, frequency of occurrence, type of sound, physical quantities that change when vehicle V is running such as vehicle speed, the driving state of vehicle V, the effect of engine warm-up in engine-equipped vehicles, selection items selected by the driver while driving vehicle V, and information on the driving environment of vehicle V. Vehicle type information is information to identify the type of vehicle V, such as the chassis number or vehicle identification number. The requested information is detailed information about the occurrence of the abnormal noise provided by the owner of vehicle V. The frequency of occurrence is selected by the worker or owner from a pre-prepared drop-down list (list) that includes options such as always, several times / day, once / day, several times / week, once / week, and once or less / month.

[0017] The type of sound is selected by the operator or owner from a dropdown list containing multiple onomatopoeic words corresponding to any abnormal noise that occurs in vehicle V (e.g., rattle, clatter, clatter, click, squeak, whine, etc.) that the operator recognizes as similar to the abnormal noise actually occurring in vehicle V. Physical quantities include vehicle speed, engine speed, motor speed, brake light switch ON / OFF times, steering angle, and the state of charge (SOC) of the high-voltage battery of hybrid or electric vehicles (e.g., fully charged, normal, or very low). Physical quantities are either heard by the operator from the vehicle V owner or entered by the owner.

[0018] The driving state of the vehicle V is selected by an operator, owner, etc. from a drop-down list including options such as start, idling, stop, departure, acceleration, constant-speed driving, deceleration (brake OFF), braking (brake ON), reverse, turning, motor driving in a hybrid vehicle (with / without engine drive (charging)), and hybrid driving in a hybrid vehicle (driving by an engine and a motor). The warm-up influence is selected by an operator, owner, etc. from a drop-down list including options such as cold, warm, cold and warm. The selection items include the shift position (any of P, R, N, D, B, S (sports), etc.), the driving mode (for example, any of normal, power, eco, snow, comfort), the operating state of auxiliary equipment (ON / OFF state of air conditioner, headlight, etc.), etc., and are selected by an operator, owner, etc. from a drop-down list. The driving environment information includes road surface conditions such as stepped road·rough road surface, flat road, uphill road, downhill road, and weather such as sunny, cloudy, rainy, snowy, etc., and is selected by an operator, owner, etc. from a drop-down list. It should be noted that not all of the above multiple items are provided by the owner, etc. of the vehicle V. Needless to say, the inquiry information is provided within the scope known to the owner, etc. of the vehicle V.

[0019] The sound acquisition unit 14 is constructed in cooperation with the abnormal noise diagnosis support application, the SoC, ROM, RAM, an in-vehicle microphone installed inside the vehicle, and microphones mounted or fixed outside the vehicle, etc., and acquires time-axis data of sound (sound pressure) inside the vehicle and sound outside the vehicle when a reproduction test is performed. The vehicle status acquisition unit 15 is constructed in cooperation with the abnormal noise diagnosis support application, the SoC, ROM, RAM, display unit 11, and communication module 12, etc., and acquires information indicating the state of the vehicle V (hereinafter, "vehicle status information") in synchronization with the acquisition of time-axis sound data by the sound acquisition unit 14 when a reproduction test is performed. The vehicle status information includes multiple physical quantities corresponding to the items of the above-mentioned medical history information (for example, vehicle speed, engine speed, motor speed, ON / OFF time of the brake lamp switch, steering angle, SOC of the high-voltage battery of a hybrid vehicle or electric vehicle, etc.). Furthermore, the vehicle status information includes information calculated or detected by the vehicle V's electronic control unit and various sensors and acquired via the communication module 12, as well as information input by workers, etc., from the display unit 11 based on interview information before the start of reproduction tests. The arithmetic processing unit 16 is constructed in cooperation with the abnormal noise diagnosis support application and the SoC, ROM, RAM, etc., and performs analysis processing of the time axis data of sound acquired by the sound acquisition unit 14. The extraction unit 17 is constructed in cooperation with the abnormal noise diagnosis support application and the SoC, ROM, RAM, etc., and narrows down the results of the analysis processing of the arithmetic processing unit 16 based on the interview information, etc. mentioned above. The display control unit 18 is constructed in cooperation with the abnormal noise diagnosis support application and the SoC, ROM, RAM, etc., and controls the display unit 11.

[0020] The server 20 of the abnormal sound diagnosis system 1 is a computer (information processing device) including a CPU, ROM, RAM, input / output devices, etc., and in this embodiment, it is installed and managed by, for example, an automobile manufacturer that manufactures the vehicle V. In the server 20, an abnormal sound position determination unit 21 that diagnoses the generation position of abnormal sounds in the vehicle V and an abnormal sound diagnosis unit 22 that diagnoses the abnormal sounds generated in the vehicle V are constructed by the cooperation of hardware such as a CPU, ROM, and RAM and a pre-installed abnormal sound diagnosis application (program). The abnormal sound position determination unit 21 specifies the position of the abnormal sound source based on the inquiry information, sound time-axis data, etc. acquired by the mobile terminal 10. Details of the abnormal sound position determination unit 21 will be described later. The abnormal sound diagnosis unit 22 includes a neural network (convolutional neural network) constructed by supervised learning (machine learning) to diagnose the cause of the abnormal sound generated in the vehicle V and the component that has become the abnormal sound source based on the inquiry information, sound time-axis data, etc. acquired by the mobile terminal 10. The teacher data used for constructing the abnormal sound diagnosis unit 22 includes the sound time-axis data acquired for the time range including the timing of the occurrence of the abnormal sound and the content (value) of each item of the above inquiry information for each of the plurality of abnormal sounds that have been found to occur in the vehicle V. Also, in the server 20, when it is found that a new abnormal sound has occurred in the vehicle V, the abnormal sound diagnosis unit 22 is re-learned using the sound time-axis data acquired for the new abnormal sound and the content of each item of the above inquiry information as teacher data. As the technology for constructing the abnormal sound diagnosis unit 22, for example, those described in the following papers (1)-(5), or combinations thereof can be used.

[0021] (1) “CNN with filterbanks learned using convolutional RBM + fusion with GTSC and mel energies” and “CNN with filterbanks learned using convolutional RBM + fusion with GTSC” as described in “Unsupervised Filterbank Learning Using Convolutional Restricted Boltzmann Machine for Environmental Sound Classification” (2) “EnvNet-v2 (tokozume2017a) + data augmentation + Between-Class learning” and “EnvNet-v2 (tokozume2017a) + Between-Class learning” as described in “LEARNING FROM BETWEEN-CLASS EXAMPLES FOR DEEP SOUND RECOGNITION” (3) “CNN working with phase encoded mel filterbank energies (PEFBEs), fusion with mel energies” as described in “Novel Phase Encoded Mel Filterbank Energies for Environmental Sound Classification” (4) “CNN pretrained on AudioSet” as described in “Knowledge Transfer from Weakly Labeled Audio using Convolutional Neural Network for Sound Events and Scenes” (5) “Fusion of GTSC & TEO-GTSC with CNN” as described in “Novel TEO-based Gammatone Features for Environmental Sound Classification”

[0022] Furthermore, the server 20 includes a storage device 23 that stores a database D, which stores body sensitivity data for each vehicle model, defined for each sound source location as the ratio of the sound pressure of sound propagating from the sound source into the vehicle interior to the sound pressure of sound generated from a sound source outside the vehicle interior. Figure 3 is an explanatory diagram showing an example of body sensitivity data stored in database D. Database D stores the relationship between frequency and body sensitivity for each location of the sound source outside the vehicle interior. In the figure, the solid line represents the relationship between frequency and body sensitivity when the sound source is in the engine compartment. The dashed line represents the relationship between frequency and body sensitivity when the sound source is in the trunk.

[0023] Next, we will explain the procedure for determining the location of abnormal noises and the procedure for diagnosing abnormal noises using the abnormal noise diagnosis system 1.

[0024] When a worker at a vehicle dealership or repair shop receives a request from the owner of a vehicle V to resolve an abnormal noise, they either gather information from the owner or obtain it from the server 20, and then perform a reproduction test to obtain the information necessary to diagnose the abnormal noise. To perform the reproduction test, the worker (user) launches the abnormal noise diagnosis support application on the mobile terminal 10 and taps the recording button displayed on the display unit 11. Furthermore, the worker enters the necessary information from the information provided by the owner into the input screen displayed on the display unit 11 and connects the mobile terminal 10 to the electronic control unit of the target vehicle. As described above, the mobile terminal 10 and the electronic control unit of the target vehicle may be connected by short-range wireless communication or via a cable (dongle). When the worker turns on the start switch (IG switch) of the vehicle V, the mobile terminal 10 obtains vehicle information such as the vehicle identification number or vehicle identification number of the vehicle V from the electronic control unit. However, the vehicle information may also be entered into the mobile terminal 10 by the worker.

[0025] Furthermore, the operator places a microphone inside the vehicle V at or near the position assumed to be the ear position of the occupant. The mobile terminal 10 is placed or fixed at a predetermined sound acquisition location outside the vehicle V, such as in the engine compartment, door, or trunk. If an external microphone is connected to the mobile terminal 10, the external microphone is also placed at a sound acquisition location. Next, the operator taps the recording start button displayed on the display unit 11 and drives (operates) the vehicle V on the road or test stand to reproduce the driving conditions in which the abnormal noise occurred, based on information gathered from the vehicle V owner, etc. While the vehicle V is driving (operating), the sound acquisition unit 14 of the mobile terminal 10 acquires time-axis data of the sound collected by the microphone inside the vehicle and the microphone outside the vehicle (the mobile terminal 10, or the external microphone if one is connected to the mobile terminal 10) at predetermined time intervals (minute intervals). The vehicle status acquisition unit 15 acquires vehicle status information from the vehicle V's electronic control unit at predetermined time intervals (minute intervals) in synchronization with the acquisition of time-axis sound data by the sound acquisition unit 14. The sound acquisition unit 14 and the vehicle status acquisition unit 15 acquire time-axis sound data and vehicle status information until the recording stop button displayed on the display unit 11 is tapped by the operator in response to the vehicle V stopping, etc. Once the acquisition of time-axis sound data and vehicle status information is complete, the calculation processing unit 16 and extraction unit 17 of the mobile terminal 10 perform analysis processing of the time-axis sound data inside the vehicle and the time-axis sound data outside the vehicle. The arithmetic processing unit 16 applies STFT (Short-Time Fourier Transform) to the time-axis data of sounds inside the vehicle and the time-axis data of sounds outside the vehicle acquired by the sound acquisition unit 14, and acquires a first spectrogram (first acoustic spectrogram) showing the relationship between time, frequency, and sound pressure of the sounds inside the vehicle, and a second spectrogram (second acoustic spectrogram) showing the relationship between time, frequency, and sound pressure of the sounds outside the vehicle. The unit then transmits the first and second spectrograms, along with the sound acquisition location, to the server 20.

[0026] Figure 4 is a flowchart showing an example of the determination process performed by the server 20 when determining the location of an abnormal noise. When the sound acquisition location and the first and second spectrograms are transmitted from the mobile terminal 10 to the server 20, the abnormal noise location determination unit 21 of the server 20 acquires in-vehicle sound data, which is the relationship between frequency and sound pressure in the first spectrogram, and monitor data, which is the relationship between frequency and sound pressure in the second spectrogram, based on the first and second spectrograms provided by the mobile terminal 10 (step S100).

[0027] Next, body sensitivity data is acquired based on the sound acquisition location (step S110). Body sensitivity data is acquired by deriving body sensitivity data corresponding to the sound acquisition location from the database D stored in the storage device 23. Once body sensitivity data is acquired, sound source estimation data is acquired as data of the sound estimated to be generated at the source of the abnormal noise, using the body sensitivity data and the in-vehicle sound data (step S120). Sound source estimation data is calculated by dividing the in-vehicle sound data by the body sensitivity data for each frequency. Once sound source estimation data is acquired, it is determined whether the monitor data and the acquired sound source estimation data match (step S130). Whether the monitor data and sound source estimation data match is determined by comparing the sound pressure of the monitor data and the sound pressure of the sound source estimation data for each frequency. If the difference between the sound pressure of the monitor data and the sound pressure of the sound source estimation data is small enough that it can be determined that the sound pressure of the monitor data and the sound pressure of the sound source estimation data match, it is determined that the monitor data matches the sound source estimation data.

[0028] If the monitor data and the sound source estimation data obtained in step S130 do not match, it is determined that there is no abnormal noise source near the sound acquisition location (step S140), and the determination result is sent to the mobile terminal 10 (step S160), and this routine ends. The mobile terminal 10 that receives the determination result displays the received determination result on the display unit 11. In this way, the user can be made aware that the acquisition location is not the location where the abnormal noise originated. In this case, the user sets up an external microphone (mobile terminal 10, or the external microphone if an external microphone is connected to the mobile terminal 10) at a different sound acquisition location and acquires time-axis data of the sound inside the vehicle, time-axis data of the sound outside the vehicle, and vehicle status information again. Then, STFT is applied to the obtained time-axis sound data, both the time-axis sound data from inside the vehicle and the time-axis sound data from outside the vehicle. A first spectrogram (first acoustic spectrogram) showing the relationship between time, frequency, and sound pressure of the sound inside the vehicle, and a second spectrogram (second acoustic spectrogram) showing the relationship between time, frequency, and sound pressure of the sound outside the vehicle are obtained, and the first and second spectrograms are sent to the server 20 along with the sound acquisition location. The server 20 then performs the process illustrated in Figure 4 again to determine whether or not the sound acquisition location is the location where the abnormal noise originated.

[0029] If the monitor data and the sound source estimation data acquired in step S130 match, it is determined that there is an abnormal noise source near the sound acquisition location (step S150), and the determination result, the sound acquisition location, and the second spectrum are transmitted to the mobile terminal 10 (step S160), ending this routine. The mobile terminal 10, having received the determination result, displays the received determination result on the display unit 11. In this way, the user can be made aware that the abnormal noise source is near the sound acquisition location, that is, that the location of the abnormal noise has been identified. In this embodiment, when diagnosing abnormal noise, the location of the abnormal noise is identified using the sound data from inside and outside the vehicle acquired by the mobile terminal 10 and the body sensitivity database D that has been acquired in advance and stored in the storage device 23, so that the operator can identify the location of even an unknown abnormal noise.

[0030] Once the location of the abnormal noise is identified, the second spectrogram is displayed on the display unit 11 of the mobile terminal 10. When the spectrogram is displayed on the display unit 11 of the mobile terminal 10, the operator taps a selection instruction button displayed on the display unit 11 to have the mobile terminal 10 extract (select) the range of the spectrogram that should be analyzed by the abnormal noise diagnosis unit 22 (server 20) (hereinafter referred to as the "analysis range"), or selects (specifies) the analysis range with their fingertip on the display unit 11 and sends it to the server 20. The abnormal noise diagnosis unit 22 of the server 20 diagnoses the cause of the abnormal noise that occurred in the vehicle V based on the second spectrogram at the sound acquisition location where the source of the abnormal noise was determined to be, the medical history information, and the analysis range, and sends the diagnosis result to the mobile terminal 10. The diagnosis result includes the cause of the abnormal noise that occurred in the vehicle V, the part that was the source of the abnormal noise, and countermeasures to eliminate the abnormal noise read from the storage device 23. In this way, by first identifying the location where the abnormal noise originates and then diagnosing its cause, the cause of the abnormal noise can be identified with greater accuracy.

[0031] According to the abnormal noise diagnosis system 1 of the embodiment described above, in-vehicle sound data is acquired as sound data inside the vehicle interior and monitor data is acquired as sound data outside the vehicle interior. Body sensitivity data corresponding to the acquisition position where the monitor data was acquired is acquired. Sound source estimation data is calculated as sound data estimated to be generated at the source of the abnormal noise using the body sensitivity data and the in-vehicle sound data. When the monitor data and the sound source estimation data match, it is determined that the source of the abnormal noise is near the sound acquisition position, thereby making it possible to identify the location of an unknown abnormal noise.

[0032] Furthermore, when the monitor data and the sound source estimation data match, the cause of the abnormal noise can be identified with higher accuracy by using the monitor data at the sound acquisition location to diagnose the cause of the abnormal noise.

[0033] Furthermore, when the monitoring data and the sound source estimation data match, the user is notified of the determination result, allowing them to recognize that the location of the abnormal sound has been identified.

[0034] In the abnormal noise diagnosis system 1 of this embodiment, when it is determined that there is an abnormal noise source near the sound acquisition location, the cause of the abnormal noise is diagnosed using the monitor data at the sound acquisition location where the sound source was determined to be present. However, the cause of the abnormal noise may also be diagnosed based on a spectrogram obtained from time-axis data of sound from outside the vehicle cabin, without considering the sound acquisition location where the sound source was determined to be present, and the device causing the abnormal noise may be identified when the installation location of the device causing the abnormal noise matches the sound acquisition location. This would allow for more accurate identification of the cause of the abnormal noise.

[0035] In the abnormal noise diagnosis system 1 of this embodiment, the judgment result is transmitted to the mobile terminal 10 in step S160, but it is not necessary to transmit the judgment result to the mobile terminal 10.

[0036] In the abnormal noise diagnosis system 1 of this embodiment, the server 20 executes the judgment processing routine shown in Figure 4. However, some or all of the processing of the judgment processing routine shown in Figure 4 may be performed by the mobile terminal 10.

[0037] Although embodiments for carrying out the present invention have been described above, the present invention is not limited in any way to these embodiments, and it is of course possible to carry it out in various forms without departing from the spirit of the present invention. [Industrial applicability]

[0038] This invention can be used in industries such as the manufacturing of abnormal sound diagnostic systems. [Explanation of Symbols]

[0039] 1. Abnormal noise diagnostic system, 10. Mobile terminal, 11. Display unit, 12. Communication module, 14. Sound acquisition unit, 16. Calculation processing unit, 17. Extraction unit, 18. Display control unit, 20. Server, 21. Abnormal noise location determination unit, 22. Abnormal noise diagnostic unit, 23. Storage device, V. Vehicle.

Claims

1. A noise diagnosis system for diagnosing abnormal noises occurring in a vehicle, A storage unit that stores a database of body sensitivity data, which is defined for each location of a sound source as the ratio of the sound pressure of sound propagating from the sound source into the vehicle interior to the sound pressure of sound generated by the sound source outside the vehicle interior, A sound acquisition unit that, while driving the vehicle to reproduce the driving conditions in which the abnormal noise occurred, acquires in-cabin sound data as sound data at or near the position assumed to be the ear position of the occupant inside the vehicle, and monitor data as sound data outside the vehicle. A body sensitivity acquisition unit that acquires body sensitivity data corresponding to the acquisition position where the monitor data was acquired, A sound source estimation unit calculates sound source estimation data, which is estimated to be sound data originating from an abnormal noise source, by dividing the in-vehicle sound data by the body sensitivity data for each frequency. A determination unit determines that when the monitor data and the sound source estimation data match, the source of the abnormal noise is near the acquisition position. Equipped with, The determination unit compares the sound pressure of the monitor data for each frequency with the sound pressure of the sound source estimation data, and determines that the monitor data and the sound source estimation data match when the difference between the sound pressure of the monitor data and the sound pressure of the sound source estimation data is small enough that it can be determined that the sound pressure of the monitor data and the sound pressure of the sound source estimation data match. Abnormal noise diagnostic system.

2. The abnormal noise diagnosis system according to claim 1, When the monitoring data and the sound source estimation data match, the diagnostic unit diagnoses the cause of the abnormal noise using the acquisition position. A noise detection system equipped with the following features.

3. An abnormal noise diagnostic system according to claim 1 or 2, When the monitor data and the sound source estimation data match, the notification unit notifies the user of the determination result made by the determination unit. A noise detection system equipped with the following features.

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