Noise diagnosis system

Abstract

To suppress increase in time required for noise diagnosis.SOLUTION: A noise diagnosis system for diagnosing noise generated in a vehicle including a driving device determines noise diagnosis to be necessary when in time-series data of vehicle sound generated by the vehicle, there is data exceeding an upper limit sound pressure as an upper limit value of sound pressure in time-series data of sound generated by the driving device when the driving device is normal, and determines different processing from the noise diagnosis to be performed when there is no data exceeding the upper limit sound pressure in time-series data of the vehicle sound.SELECTED DRAWING: Figure 2

Description

Technical Field

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

Background Art

[0002] Conventionally, as this type of abnormal sound diagnosis system, there has been proposed one that diagnoses an abnormal sound emitted by a vehicle based on data of the sound pressure of vehicle sounds generated from the vehicle and a predetermined rotational speed of the vehicle (see, for example, Patent Document 1). In this system, characteristic frequencies are extracted from the data of the sound pressure of vehicle sounds, phenomena highly correlated with those frequencies are extracted, and the frequency range corresponding to those phenomena is superimposed and displayed on the relationship between time, frequency, and sound of the abnormal sound. Thereby, both the analysis result of the abnormal sound and its validity are presented together to improve the convenience for the user.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] In recent years, with the progress of noise reduction of the entire vehicle, the operating sound of the drive device mounted on the vehicle may become prominent. Such operating sounds may give the user an uncomfortable feeling because they are prominent even when the drive device is normal. For the user, it is difficult to distinguish between abnormal sounds and unpleasant sounds generated from the drive device that are not abnormal sounds. Therefore, the user may request further execution of abnormal diagnosis, and as a result, the time required for abnormal sound diagnosis increases.

[0005] The abnormal sound diagnosis system of the present disclosure has as its main object to suppress an increase in the time required for abnormal sound diagnosis.

Means for Solving the Problems

[0006] The abnormal diagnosis system of the present disclosure has adopted the following means to achieve the above main purpose.

[0007] The abnormal diagnosis system of the present disclosure is a abnormal sound diagnosis system for diagnosing abnormal sounds generated in a vehicle equipped with a driving device, in the time-series data of the sound pressure of the vehicle sound emitted from the vehicle, when there is data exceeding the upper limit sound pressure as the upper limit value of the sound pressure in the time-series data of the sound emitted by the driving device when the driving device is normal, it is determined that the diagnosis of the abnormal sound is necessary, and when there is no data exceeding the upper limit sound pressure in the time-series data of the sound pressure of the vehicle sound, it is determined that it is necessary to execute a process different from the diagnosis of the abnormal sound This is the gist.

[0008] In this abnormal diagnosis system of the present disclosure, in the time-series data of the sound pressure of the vehicle sound emitted from the vehicle, when there is data exceeding the upper limit sound pressure as the upper limit value of the sound pressure in the time-series data of the sound emitted by the driving device when the driving device is normal, it is determined that the diagnosis of the abnormal sound is necessary, and when there is no data exceeding the upper limit sound pressure in the time-series data of the sound pressure of the vehicle sound, it is determined that it is necessary to execute a process different from the diagnosis of the abnormal sound. When there is no data exceeding the upper limit sound pressure in the time-series data of the vehicle sound, since it is determined that it is necessary to execute a process different from the diagnosis of the abnormal sound, compared with performing the diagnosis of the abnormal sound regardless of whether there is data exceeding the upper limit sound pressure in the time-series data of the sound pressure of the vehicle sound, the situation where the diagnosis of the abnormal sound is necessary can be narrowed down. As a result, an increase in the time required for the abnormal sound diagnosis can be suppressed.

Brief Description of the Drawings

[0009]

Figure 1

Figure 2

Figure 3

Embodiments for Carrying Out the Invention

[0010] Embodiments of the present disclosure will be described with reference to the drawings. FIG. 1 is a configuration diagram showing an outline of the configuration of the abnormal noise diagnosis system 1 of the present embodiment. The abnormal noise diagnosis system 1 is used for diagnosing abnormal noises generated in a vehicle (not shown) equipped with a driving device such as an engine or a motor. The abnormal noise diagnosis system 1 includes a mobile terminal 10 and an abnormal noise analysis support server 20.

[0011] The mobile terminal 10 is carried by an operator at a vehicle sales store or a repair shop that repairs the vehicle, and is configured as a smartphone including a SoC including a CPU and a GPU, a ROM, a RAM, a display unit 11, a communication module 12, a microphone (not shown), and the like. An abnormal noise analysis application (program) is installed in the mobile terminal 10. Then, the mobile terminal 10 includes a sound acquisition unit 13, a display control unit 14, and an arithmetic unit 15, which are constructed by the cooperation of the abnormal noise analysis application (software) and hardware such as the SoC, ROM, RAM, and microphone.

[0012] The display unit 11 of the mobile terminal 10 includes a liquid crystal panel or an organic EL panel or the like. The communication module 12 can exchange various information with an electronic control unit of the vehicle via short-range wireless communication or a cable, and can also exchange various information with the abnormal noise analysis support server 20 via a network such as the Internet. The sound acquisition unit 13 is constructed by the cooperation of the abnormal noise analysis application, the SoC, ROM, RAM, microphone, and the like, and acquires time-series (time-axis) data of sound pressure (sound). The display control unit 14 is constructed by the cooperation of the abnormal noise analysis application, the SoC, ROM, RAM, and the like, and controls the display unit 11. The arithmetic unit 15 is constructed by the cooperation of the abnormal noise analysis application, the SoC, ROM, and RAM, and the like.

[0013] The abnormal noise analysis support server 20 is a computer including a CPU, a ROM, a RAM, an input / output device, etc. In the present embodiment, for example, it is installed and managed by an automobile manufacturer that manufactures the above vehicle. In the abnormal noise analysis support server 20, an analysis support module for assisting in the analysis of abnormal noises generated in the vehicle is constructed by the cooperation of hardware such as a CPU, a ROM, and a RAM and various programs installed in advance. The abnormal noise analysis support server 20 includes a storage device that stores a database in which information necessary for the analysis of abnormal noises generated in the vehicle is stored for each vehicle type. The database stores, for each vehicle type, specifications of the vehicle and each in-vehicle device, time-series data of sound pressure and a predetermined rotational speed N obtained during normal operation of the mounted drive device, time-series data of sound pressure and a predetermined rotational speed N of the drive device obtained in a pre-shipment inspection of the drive device mounted on the vehicle, time-series data of the average sound pressure, which is the average of the sound pressures generated by each drive device when a plurality of drive devices are manufactured, and a predetermined rotational speed N, and acoustic sensitivity data Sps, which is the relationship between the frequency of the sound and the acoustic sensitivity of the vehicle. The normal operation of the mounted drive device can include, for example, when it is determined that no abnormal noise occurs during development or inspection. The predetermined rotational speed N is, when the target vehicle is equipped with an engine (internal combustion engine) and a transmission, the rotational speed of the engine, the input rotational speed and the output rotational speed of the transmission, etc., and when the target vehicle is a hybrid vehicle or an electric vehicle, the rotational speed of the motor, the rotational speed of the drive shaft, etc.

[0014] Next, the procedure for diagnosing abnormal noises in the abnormal noise diagnosis system 1 configured in this way will be described. FIG. 2 is a flowchart showing an example of the abnormal noise diagnosis procedure executed by the mobile terminal 10. When diagnosing an abnormal noise, an operator using the mobile terminal 10 activates the above abnormal noise analysis application and connects the mobile terminal 10 to the electronic control unit of the target vehicle. The electronic control unit of the target vehicle and the mobile terminal 10 may be connected by short-range wireless communication or may be connected via a cable. Further, the mobile terminal 10 acquires vehicle information such as the chassis number or vehicle identification number of the target vehicle from the electronic control unit. However, the vehicle information may be input to the mobile terminal 10 by the operator. Next, the operator taps the measurement start button displayed on the display unit 11 and drives (operates) the target vehicle on a road or a test bench to reproduce the driving state in which the abnormal noise heard from the owner of the target vehicle occurred. While the target vehicle is running, the communication module 12 acquires predetermined running data (operation data) from the electronic control unit of the target vehicle at predetermined time intervals (micro time intervals), and the sound acquisition unit 13 of the mobile terminal 10 acquires the sound pressure (vehicle sound pressure) emitted from the target vehicle and the time series (time axis) data of a predetermined rotation speed N in synchronization with the acquisition of the running data (S100). The running data acquired from the target vehicle includes a predetermined rotation speed N, the vehicle speed, and the results of various diagnoses (various self-diagnoses). The communication module 12 and the sound acquisition unit 13 acquire the running data and the time series data of the sound until the measurement end button displayed on the display unit 11 is tapped by the operator in response to the stoppage of the target vehicle or the like.

[0015] Subsequently, time series data of the normal sound pressure of the drive device mounted on the target vehicle is acquired from the database stored in the storage device of the abnormal noise analysis support server 20 (S110). Then, from the time series data of the sound pressure acquired in S110, an upper limit sound pressure as the upper limit value of the sound pressure acquired in S110, an average sound pressure as the average value of the sound pressure acquired in S110, and a lower limit sound pressure as the lower limit value of the sound pressure acquired in S110 are acquired (S120). The average sound pressure is calculated as the arithmetic mean of the time series data of the sound pressure acquired in S110.

[0016] Next, time-series data of the sound pressure and a predetermined rotational speed N of the drive device obtained in the pre-shipment inspection of the drive device mounted on the vehicle is acquired from the database stored in the storage device of the abnormal sound analysis support server 20, and the relationship R1 between the frequency of the sound, the predetermined rotational speed N, and the sound pressure is acquired from the acquired time-series data (S130). Further, time-series data of the average sound pressure and the predetermined rotational speed N is acquired from the database stored in the storage device of the abnormal sound analysis support server 20, and the relationship R2 between the frequency of the sound, the predetermined rotational speed N, and the sound pressure is acquired from the acquired time-series data (S140). Then, a difference ΔR obtained by subtracting the relationship R1 from the relationship R2 is calculated (S150). FIG. 3 is an explanatory diagram for explaining an example of the relationships R1, R2, and the difference ΔR. In the figure, the portion hatched with vertical lines is a region where the sound pressure is particularly high. The acoustic sensitivity will be described later.

[0017] Next, it is determined whether or not the time-series data of the sound pressure acquired in S100 is closer to the upper limit sound pressure as a whole than the upper limit sound pressure acquired in S120 (S160). Here, when there is no data exceeding the upper limit sound pressure in the time-series data of the sound pressure acquired in S100, and a predetermined ratio (for example, 55%, 60%, 65%, etc.) of the time-series data of the sound pressure is within the range of the average sound pressure or more and the upper limit sound pressure or less, it is determined that the time-series data of the sound pressure acquired in S100 is closer to the upper limit sound pressure as a whole.

[0018] When it is determined in S160 that the time-series data of the sound pressure acquired in S100 is not closer to the upper limit sound pressure as a whole, it is determined that it is necessary to execute a process different from the abnormal sound diagnosis, and then it is determined whether or not there is data exceeding the upper limit sound pressure in the time-series data of the sound pressure acquired in S100 (S170). When there is no data exceeding the upper limit sound pressure in the time-series data of the sound pressure acquired in S100, it is determined that it is necessary to execute a process different from the abnormal sound diagnosis, and it is determined that there is no possibility that the abnormal sound will be improved even if the drive device is replaced with a normal product such as a new unused product that does not generate an abnormal sound, and this is displayed on the display unit 11 (S220), and the abnormal sound diagnosis is terminated. The operator who has visually recognized the display on the display unit 11 contacts the owner of the vehicle, etc. to that effect.

[0019] In S170, when there is data exceeding the upper limit sound pressure in the time series data of the sound pressure acquired in S100, it is determined that abnormal sound diagnosis is necessary (S180). Then, the abnormal sound diagnosis in S190 and S200 is executed. In the abnormal sound diagnosis, first, the parts that generate abnormal sounds are narrowed down from the difference ΔR acquired in S150 (S190). Narrowing down the factors causing abnormal sounds, for example, as shown in FIG. 3, when the sound pressure is high in a specific frequency range regardless of the predetermined rotational speed N, the abnormal sound can be narrowed down to that from parts that operate without synchronization with the rotational speed (for example, an electric oil pump, etc.). Also, when the sound pressure increases in proportion to the frequency and the predetermined rotational speed N, that is, when the sound pressure is high at a specific order, the parts that generate abnormal sounds can be narrowed down from the gear ratio of each gear, the number of mounting magnets of the motor, etc. After thus narrowing down the parts that generate abnormal sounds, it is examined whether abnormal sounds are generated from the narrowed-down parts (S200), and the abnormal sound diagnosis is terminated. In S200, the operator taps the measurement start button displayed on the display unit 11, runs (operates) the target vehicle on the road or test bench, and reproduces the running state in which the abnormal sound heard from the owner of the target vehicle occurred. The operator installs the mobile terminal 10 near the narrowed-down parts. While the target vehicle is running, the communication module 12 acquires predetermined running data (operation data) from the electronic control device of the target vehicle at predetermined intervals (micro time), and the sound acquisition unit 13 of the mobile terminal 10 acquires the time series (time axis) data of the sound emitted from the target vehicle in synchronization with the acquisition of the running data. The operator can determine whether abnormal sounds are generated from the narrowed-down parts by examining the acquired sound.

[0020] In S160, when the time series data of the sound pressure acquired in S100 is overall near the upper limit sound pressure, it is determined whether there is a region where the sound pressure is higher than the relationship R in the difference ΔR (S210). When there is no region where the sound pressure is higher than the relationship R in the difference ΔR, since it is not an abnormal sound from the drive device, it is determined that there is no possibility of improving the abnormal sound even if the drive device is replaced with a normal product, and this is displayed on the display unit 11 (S220), and the abnormal sound diagnosis is terminated. The operator who visually recognizes the display on the display unit 11 contacts the owner of the vehicle, etc. to that effect.

[0021] When there is no region where the sound pressure is higher than the relationship R during the difference ΔR in S210, the acoustic sensitivity data Sps of the target vehicle is acquired from the database stored in the storage device of the abnormal sound analysis support server 20, and the relationship R3 in the normal state of the drive device is created by multiplying the difference ΔR by the acoustic sensitivity data Sps (S230). Then, the relationship R4 between the sound frequency, the predetermined rotational speed N, and the sound pressure is acquired from the time-series data of the sound pressure and the predetermined rotational speed N of the target vehicle input in S100 (S240). Then, the time-series data of the sound pressure is created from the result of subtracting the relationship R3 from the relationship R4, and the created time-series data is used as the time-series data of the sound pressure after replacing the drive device with a normal product (S250), and the abnormal sound diagnosis is terminated. The operator can prompt the vehicle owner to determine whether to replace the drive device after allowing the vehicle owner to view the time-series data of the sound pressure after replacing the drive device created in S250 and confirming the sound generated from the vehicle after replacing the drive device. As described above, when the time-series data of the sound pressure acquired in S100 in S160 is not close to the upper limit sound pressure as a whole and there is data exceeding the upper limit sound pressure in the time-series data of the sound pressure acquired in S100 in S170, it is determined that abnormal sound diagnosis is necessary. When the time-series data of the sound pressure acquired in S100 in S160 is not close to the upper limit sound pressure as a whole or there is no data exceeding the upper limit sound pressure in the time-series data of the sound pressure acquired in S100 in S170, it is determined that other processing is necessary, thereby narrowing down the situation where abnormal sound diagnosis is required. Thereby, an increase in the time required for abnormal sound diagnosis can be suppressed.

[0022] According to the abnormal sound diagnosis system 1 of the present embodiment described above, when there is data exceeding the upper limit sound pressure in the time-series data of the sound pressure acquired in S100, it is determined that abnormal sound diagnosis is necessary. When there is no data exceeding the upper limit sound pressure in the time-series data of the sound pressure acquired in S100, it is determined that other processing is necessary, thereby suppressing an increase in the time required for abnormal sound diagnosis.

[0023] In the above-described embodiment, when the time-series data of the sound pressure acquired in S100 is not close to the upper limit sound pressure as a whole in S160 and there is data exceeding the upper limit sound pressure in the time-series data of the sound pressure acquired in S100 in S170, it is determined that abnormal sound diagnosis is necessary. When the time-series data of the sound pressure acquired in S100 is not close to the upper limit sound pressure as a whole in S160 or there is no data exceeding the upper limit sound pressure in the time-series data of the sound pressure acquired in S100 in S170, it is determined that other processing is necessary. However, S170 is executed without executing S160 after S150. When there is data exceeding the upper limit sound pressure in the time-series data of the sound pressure acquired in S100 in S170, S180 to S200 are executed. When there is no data exceeding the upper limit sound pressure in the time-series data of the sound pressure acquired in S100 in S170, S210 to S250 may be executed.

[0024] In the above-described embodiment, the abnormal sound diagnosis procedure illustrated in FIG. 2 is executed by the mobile terminal 10. However, part or all of the abnormal sound diagnosis procedure illustrated in FIG. 2 may be executed by the abnormal sound analysis support server 20 or the electronic control device of a vehicle equipped with a drive device.

[0025] Note that the correspondence relationship 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 mode for carrying out the invention described in the column of means for solving the problems in the embodiment. Therefore, it 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.

[0026] As described above, the embodiments for implementing the present disclosure have been described. However, the present disclosure is not limited to such embodiments, and it goes without saying that the present disclosure can be implemented in various forms without departing from the gist of the present disclosure.

Industrial Applicability

[0027] The present disclosure can be used in the manufacturing industry of abnormal diagnosis systems and the like.

Explanation of Signs

[0028] 1 Abnormal sound diagnosis system, 10 Mobile terminal (abnormal sound analysis device), 11 Display unit, 12 Communication module, 13 Sound acquisition unit, 14 Display control unit, 15 Arithmetic unit, 20 Abnormal sound analysis support server.

Claims

【Claim 1】 A abnormal noise diagnosis system for diagnosing abnormal noises generated in a vehicle equipped with a drive device, in the time-series data of the sound pressure of the vehicle sound emitted from the vehicle, when there is data exceeding the upper limit sound pressure as the upper limit value of the sound pressure in the time-series data of the sound emitted by the drive device when the drive device is normal, it is determined that the diagnosis of the abnormal noise is necessary, and in the time-series data of the sound pressure of the vehicle sound, when there is no data exceeding the upper limit sound pressure, it is determined that it is necessary to execute a process different from the diagnosis of the abnormal noise Abnormal noise diagnosis system.

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