Detection method, detection device and electronic equipment

Abstract

The invention discloses a detection method, a detection device and electronic equipment, and the detection method comprises the steps: collecting audio information in a vehicle, and analyzing the audio information to obtain one or more noise signals; and determining the air leakage position corresponding to the noise signal according to the working parameters of the vehicle, the noise signal and a preset air leakage position and noise mapping relation. According to the vehicle noise detection device, the detection device is an integral part and is detachably installed in the vehicle or is independent equipment, so that compared with a plurality of noise sensors installed in an existing vehicle, the cost is low, the flexibility is good, and the detection requirements of different vehicles can be met; besides, based on the preset mapping relation between the air leakage position and the noise, the air leakage position can be quickly locked, the fault detection time is saved, the time cost and the operation difficulty are reduced, and even non-professionals can perform detection.

Description

Technical Field

[0001] The present invention relates to the field of vehicle technology, and in particular to a detection method, a detection device and an electronic device. Background Art

[0002] Due to the diverse layout and complex structure of the engine intake and exhaust pipes, air leakage is prone to occur during operation. Mild air leakage will cause airflow noise, and more serious ones will produce abnormal noise.

[0003] At present, when there is an abnormal noise problem caused by air leakage in a vehicle, professionals will be used to check the entire vehicle. Due to the lack of clear directionality, it is difficult to check the location of the air leakage, and it is time-consuming and laborious. Summary of the invention

[0004] The present invention provides a detection method, a detection device and an electronic device to solve the problem that it is difficult to locate the air leakage of a vehicle at present.

[0005] According to one aspect of the present invention, a detection method is provided, which is applied to a vehicle, and the detection method comprises:

[0006] collecting audio information in the vehicle, and analyzing the audio information to obtain one or more noise signals;

[0007] The air leakage position corresponding to the noise signal is determined according to the operating parameters of the vehicle, the noise signal and a preset mapping relationship between the air leakage position and the noise.

[0008] Further, analyzing the audio information to obtain one or more noise signals includes:

[0009] The audio information is analyzed in time domain and frequency domain.

[0010] Further, determining the leakage position corresponding to the noise signal includes:

[0011] Obtain the air flow velocity of the intake manifold of the vehicle and the harmonic signal of the noise signal, and calculate the first target frequency f ai , where f ai =i*V a / L a , i is the multiple of the harmonic signal of the noise signal, i = 1, 2, 3, V a is the air flow velocity of the intake manifold, L a is the inner diameter of the intake manifold;

[0012] If the first target frequency f aiIf the first mapping relationship is satisfied, the leaking position is determined to be the front end of the intercooler, wherein the first mapping relationship includes the leaking of the front end of the intercooler and the presence of narrow-band abnormal sound and frequency doubling characteristics in the frequency range of 1000 Hz-5000 Hz;

[0013] The mapping relationship between the air leakage position and the noise includes the first mapping relationship.

[0014] Further, determining the leakage position corresponding to the noise signal includes:

[0015] Obtain the speed of the supercharger of the vehicle and calculate the second target frequency f2, where f2 = V b ×Y / 60,V b is the speed of the supercharger, and Y is the number of impeller blades of the vehicle;

[0016] If the frequency spectrum of the noise signal satisfies the second mapping relationship, the leakage position is determined to be the rear end of the intercooler, wherein the second mapping relationship includes leakage at the rear end of the intercooler, the passing noise of the pressure wheel blade visible in the frequency spectrum, and the frequency being within the allowable error range of the second target frequency f2;

[0017] The mapping relationship between the air leakage position and the noise includes the second mapping relationship.

[0018] Further, determining the leakage position corresponding to the noise signal includes:

[0019] Obtain the air flow velocity of the exhaust manifold of the vehicle and the harmonic signal of the noise signal, and calculate the third target frequency f bi , where f bi =i*V c / L c , i is the multiple of the harmonic signal of the noise signal, i = 1, 2, 3, V c is the air flow velocity of the exhaust manifold, L c is the inner diameter of the exhaust manifold;

[0020] If the third target frequency f bi If the third mapping relationship is satisfied, the leakage location is determined to be the exhaust manifold, wherein the third mapping relationship includes the exhaust manifold leakage and the presence of narrow-band abnormal sound and frequency doubling characteristics within the frequency range of 3000 Hz-8000 Hz;

[0021] The mapping relationship between the air leakage position and the noise includes the third mapping relationship.

[0022] Further, determining the leakage position corresponding to the noise signal includes:

[0023] The speed of the supercharger of the vehicle is obtained, and the fourth target frequency f4 is calculated, wherein f4=Vb ×W / 60,V b is the speed of the supercharger, W is the number of turbine blades of the vehicle;

[0024] If the frequency spectrum of the noise signal satisfies the fourth mapping relationship, the leakage position is determined to be the rear end of the turbine, wherein the fourth mapping relationship includes leakage at the rear end of the turbine, turbine blade passing noise visible in the frequency spectrum, and a frequency within an allowable error range of the fourth target frequency f4;

[0025] The mapping relationship between the air leakage position and the noise includes the fourth mapping relationship.

[0026] Further, determining the leakage position corresponding to the noise signal includes:

[0027] Obtaining the rotation speed of the engine of the vehicle, and calculating the first pulse period Ta, wherein Ta=120 / n, n is the rotation speed of the transmitter;

[0028] If the first pulse period Ta and the frequency spectrum of the noise signal satisfy the fifth mapping relationship, the leakage position is determined to be the intake valve, wherein the fifth mapping relationship includes the intake valve leakage, the noise frequency is in the range of 3000 Hz-6000 Hz, and the audio wavelet analysis shows that the first pulse period is the duration of two engine runs;

[0029] The mapping relationship between the air leakage position and the noise includes the fifth mapping relationship.

[0030] Further, determining the leakage position corresponding to the noise signal includes:

[0031] Obtaining the rotation speed of the engine of the vehicle, and calculating the first pulse period Ta, wherein Ta=120 / n, n is the rotation speed of the transmitter;

[0032] If the first pulse period Ta and the frequency spectrum of the noise signal satisfy a sixth mapping relationship, the leakage position is determined to be the exhaust valve, wherein the sixth mapping relationship includes exhaust valve leakage, the noise frequency is in the range of 5000 Hz-10000 Hz, and the audio wavelet analysis shows that the first pulse period is the duration of two engine runs;

[0033] The mapping relationship between the air leakage position and the noise includes the sixth mapping relationship.

[0034] According to another aspect of the present invention, a detection device is provided, which is applied to a vehicle, and the detection device comprises:

[0035] An information collection module, used for collecting audio information in the vehicle, and analyzing the audio information to obtain one or more noise signals;

[0036] The air leakage locating module is used to determine the air leakage position corresponding to the noise signal according to the operating parameters of the vehicle, the noise signal and a preset mapping relationship between the air leakage position and the noise.

[0037] According to another aspect of the present invention, there is provided an electronic device, comprising:

[0038] at least one processor;

[0039] and a memory communicatively coupled to the at least one processor;

[0040] The memory stores a computer program that can be executed by the at least one processor. The computer program is executed by the at least one processor so that the at least one processor can perform the detection method as described above.

[0041] In the present invention, the detection device can directly collect audio information in the vehicle, analyze the audio information and obtain one or more noise signals; then, according to the vehicle's operating parameters, noise signals and preset leakage position and noise mapping relationship, find the target mapping relationship corresponding to the vehicle's operating parameters and / or noise signals from the leakage position and noise mapping relationship table, and the leakage position carried in the target mapping relationship can be determined as the leakage position corresponding to the currently obtained noise signal. In the present invention, the detection device is an integral component that can be detachably installed in the vehicle or as an independent device. Therefore, compared with multiple noise sensors installed in existing vehicles, it has lower cost and better flexibility, and can meet the detection needs of different vehicles; in addition, based on the preset leakage position and noise mapping relationship, the leakage position can be quickly locked, saving fault detection time, reducing time cost and operation difficulty, and even non-professionals can perform detection.

[0042] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0044] Figure 1 is a schematic diagram of a detection method provided by an embodiment of the present invention;

[0045] Figure 2is a schematic diagram of another detection method provided by an embodiment of the present invention;

[0046] Figure 3 is a schematic diagram of a detection device provided by an embodiment of the present invention;

[0047] Figure 4 It is a schematic diagram of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0048] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0049] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0050] Figure 1 is a schematic diagram of a detection method provided by an embodiment of the present invention. This embodiment is applicable to the case of detecting a gas leakage fault in a vehicle. The detection method can be executed by a detection device, which can be implemented in the form of hardware and / or software. The detection device can be configured in a vehicle or be an independent mobile device. Figure 1 As shown, the detection method includes:

[0051] Step 110: collecting audio information in the vehicle, and analyzing the audio information to obtain one or more noise signals;

[0052] Step 120: Determine the leakage position corresponding to the noise signal according to the operating parameters of the vehicle, the noise signal, and a preset mapping relationship between the leakage position and the noise.

[0053] Problems with the vehicle's valves, pipeline seals, pipe quality, etc. can lead to gas leakage, which can seriously cause abnormal noise problems mainly caused by airflow noise. Therefore, the present invention locates the leak position based on the abnormal sound signal. The noise generated by leaks in the engine's intake and exhaust components has different time domain laws, frequency characteristics, and phase distributions, so the leak position can be analyzed from the noise.

[0054] In the present embodiment, the detection device includes an audio collection unit, and the audio collection unit of the detection device can collect the sound of the environment. Then, when the detection device is located inside the vehicle, the sound inside the vehicle can be directly collected to generate audio information. The detection device is an independent component, so there is no need to install multiple noise collectors and other sound collection devices in the vehicle, and the cost is low. The audio collection unit can be a high-precision audio collector, or a noise sensor, or other collectors that can collect sound with high precision. The duration of the audio collection by the detection device can be controlled by the user, or it can be collected according to the default duration. If the detection device is an independent device, the user can hold the detection device to collect sound at different positions of the vehicle.

[0055] The detection device includes an audio analysis unit, which can analyze the audio information to obtain different types of noise signals. Optional analysis of the audio information to obtain one or more noise signals includes: performing time domain and frequency domain analysis on the audio information. Specifically, the audio analysis unit of the detection device can perform time domain and frequency domain analysis on the audio information, thereby analyzing and sorting out the various noises mixed in the audio information to obtain one or more different types of noise signals. It can be understood that the abnormal noise in the vehicle is an abnormal noise, which in most cases has a certain regularity and randomness, especially the abnormal noise caused by air leakage. It is more regular, so any noise signal analyzed from the audio information should be a sound wave with a certain regularity; two different noise signals mixed together present a sound wave with chaotic frequency and sound intensity.

[0056] The detection device can communicate with the vehicle controller of the vehicle. Specifically, if the detection device is an independent device, the detection device can be connected to the vehicle by wire or wirelessly to obtain the operating parameters of the vehicle from the vehicle controller of the vehicle. If the detection device is built into the vehicle and is a part of the vehicle, the detection device can be directly electrically connected to the vehicle controller to obtain the operating parameters of the vehicle from the vehicle controller. If the vehicle is in operation, the operating parameters include the operating data of the vehicle and the calibration parameters of the vehicle. For example, if the required operating parameter is the engine speed, the detection device collects the engine speed in the current driving cycle or at the current moment. If the vehicle is idling or non-operating, the operating parameters include the operating data in the previous driving cycle of the vehicle and the calibration parameters of the vehicle. For example, if the required operating parameter is the engine speed, the detection device collects the average value of the engine speed in a certain period of time in the previous driving cycle.

[0057] A leakage position and noise mapping relationship table is pre-stored in the detection device, and the leakage position and noise mapping relationship table includes multiple mapping relationships, each of which includes a leakage position and noise characteristics and / or working parameter characteristics corresponding to the leakage position.

[0058] Based on this, after the detection device obtains the working parameters and noise signals of the vehicle, it matches the working parameters and noise signals of the vehicle with the leakage position and noise mapping relationship table, and finds the target mapping relationship corresponding to the working parameters and / or noise signals of the vehicle from the leakage position and noise mapping relationship table, and the leakage position recorded in the target mapping relationship can be determined as the leakage position corresponding to the obtained noise signal. The detection device may include a microprocessor, a single-chip microcomputer or other device capable of data processing, and the model or specific structure of each component in the detection device is not specifically limited.

[0059] In the present invention, the detection device can directly collect audio information in the vehicle, analyze the audio information and obtain one or more noise signals; then, according to the vehicle's operating parameters, noise signals and preset leakage position and noise mapping relationship, find the target mapping relationship corresponding to the vehicle's operating parameters and / or noise signals from the leakage position and noise mapping relationship table, and the leakage position carried in the target mapping relationship can be determined as the leakage position corresponding to the currently obtained noise signal. In the present invention, the detection device is an integral component that can be detachably installed in the vehicle or as an independent device. Therefore, compared with multiple noise sensors installed in existing vehicles, it has lower cost and better flexibility, and can meet the detection needs of different vehicles; in addition, based on the preset leakage position and noise mapping relationship, the leakage position can be quickly locked, saving fault detection time, reducing time cost and operation difficulty, and even non-professionals can perform detection.

[0060] The above is the main idea of ​​the present invention. The detection method is described in detail from multiple embodiments below. It can be understood that the detection device may obtain multiple different noise signals from the audio information, and the detection process of each noise signal is similar. Therefore, the detection process described in the following embodiments is described by taking one of the noise signals obtained from the audio information as an example.

[0061] Figure 2 is a schematic diagram of another detection method provided by an embodiment of the present invention, such as Figure 2 The operation of determining the leakage position corresponding to the noise signal in the optional step 120 includes:

[0062] Step 121: Obtain the air flow velocity of the vehicle's intake manifold and the harmonic signal of the noise signal, and calculate the first target frequency f ai , where f ai =i*V a / L a , i is the multiple of the harmonic signal of the noise signal, i=1,2,3,V a is the air flow velocity of the intake manifold, L a is the inner diameter of the intake manifold;

[0063] Step 122: If the first target frequency f ai If the first mapping relationship is satisfied, the leakage position is determined to be the front end of the intercooler, wherein the first mapping relationship includes leakage at the front end of the intercooler and the presence of narrow-band abnormal noise and frequency doubling characteristics in the frequency range of 1000Hz-5000Hz; the leakage position and noise mapping relationship includes the first mapping relationship.

[0064] In this embodiment, the detection device performs harmonic analysis on the noise signal, and if the noise signal has harmonics, the detection continues. If the noise signal does not have harmonics, the detection method of other embodiments is selected for detection.

[0065] In this embodiment, the detection device obtains at least the 1st harmonic signal, the 2nd harmonic signal and the 3rd harmonic signal of the noise signal. The detection device also obtains the airflow velocity of the vehicle's intake manifold and the inner diameter of the intake manifold from the vehicle controller, and the inner diameter of the intake manifold is a vehicle fixed parameter pre-stored in the vehicle.

[0066] Let i = 1, the detection device measures the air flow velocity V of the intake manifold a and the inner diameter of the intake manifold L a Substitute into the formula f ai =i*V a / L a In the equation f a1 =V a / L a ; Let i = 2, and we get f a2=2*V a / L a ; Let i = 3, and get f a3 =3*V a / L a .f ai The unit is: Hz.

[0067] If f a1 、f a2 and f a3 The noise signals are all within the range of 1000Hz-5000Hz, and the detection device detects that the noise signal has narrow-band abnormal sound and frequency doubling characteristics within the frequency band of 1000Hz-5000Hz, indicating that the noise signal satisfies the first mapping relationship. The front end of the intercooler leak position carried in the first mapping relationship is determined as the leak position corresponding to the noise signal. The front end of the intercooler can also be understood as the input end of the intercooler and its connected pipeline. When there is a leak at this position, its abnormal noise is mostly presented as narrow-band frequency doubling noise.

[0068] It can be understood that the first mapping relationship is established before leaving the factory. The vehicle is adjusted to a state where only the front end of the intercooler has air leakage, and the abnormal sound caused by it is collected. It is found that the abnormal sound has narrow-band abnormal sound and multi-frequency characteristics within the frequency band of 1000Hz-5000Hz, so as to establish the first mapping relationship.

[0069] like Figure 2 The operation of determining the leakage position corresponding to the noise signal in the optional step 120 includes:

[0070] Step 131: Obtain the speed of the supercharger of the vehicle and calculate the second target frequency f2, where f2 = V b ×Y / 60,V b is the speed of the supercharger, Y is the number of impeller blades of the vehicle;

[0071] Step 132: If the frequency spectrum of the noise signal satisfies the second mapping relationship, the leakage position is determined to be the rear end of the intercooler, wherein the second mapping relationship includes leakage at the rear end of the intercooler, visible pressure wheel blade passing noise in the frequency spectrum, and the frequency is within the allowable error range of the second target frequency f2; the leakage position and noise mapping relationship includes the second mapping relationship.

[0072] In this embodiment, the detection device performs spectrum analysis on the noise signal, and if the CBPF is visible in the spectrum of the noise signal, the detection is continued. If the CBPF is not present in the spectrum of the noise signal, the detection method of other embodiments is selected for detection.

[0073] In this embodiment, the detection device obtains the supercharger speed and the number of impeller blades at the compression end of the vehicle from the vehicle controller. The number of impeller blades at the compression end (i.e., the number of impeller blades) is a fixed parameter of the vehicle pre-stored in the vehicle. b And the number of blades Y of the pressure wheel is substituted into the formula f2 = V b ×Y / 60, the specific value of the second target frequency f2 is obtained. The unit of f2 is: Hz.

[0074] If the frequency of the noise signal is within the allowable error range of f2, for example, the allowable error range is -5% to +5%, then the frequency of the noise signal is within the range of f2*95% to f2*105%, indicating that the noise signal satisfies the second mapping relationship, and the air leakage position at the rear end of the intercooler carried in the second mapping relationship is determined as the air leakage position corresponding to the noise signal. The rear end of the intercooler can also be understood as the output end of the intercooler and its connected pipeline. When there is air leakage at this position, its abnormal noise is mostly presented as high-frequency blade passing noise (BPF noise).

[0075] It can be understood that the second mapping relationship is established before leaving the factory. The vehicle is adjusted to a state where only the air leakage at the rear end of the intercooler exists, and the abnormal noise caused by it is collected. It is found that the frequency spectrum analysis of the abnormal noise shows the compressor impeller blade pass-by noise (CBPF) and the frequency characteristics are within the allowable error range of (supercharger speed × compressor blade number / 60), so the second mapping relationship is established.

[0076] like Figure 2 The operation of determining the leakage position corresponding to the noise signal in the optional step 120 includes:

[0077] Step 141: Obtain the airflow velocity of the exhaust manifold of the vehicle and the harmonic signal of the noise signal, and calculate the third target frequency f bi , where f bi =i*V c / L c , i is the multiple of the harmonic signal of the noise signal, i=1,2,3,V c is the air flow velocity of the exhaust manifold, L c is the inner diameter of the exhaust manifold;

[0078] Step 142: If the third target frequency f bi If the third mapping relationship is satisfied, the leakage position is determined to be the exhaust manifold, wherein the third mapping relationship includes exhaust manifold leakage and the presence of narrow-band abnormal noise and frequency doubling characteristics in the frequency range of 3000Hz-8000Hz; the leakage position and noise mapping relationship includes the third mapping relationship.

[0079] In this embodiment, the detection device performs harmonic analysis on the noise signal, and if the noise signal has harmonics, the detection continues. If the noise signal does not have harmonics, the detection method of other embodiments is selected for detection.

[0080] In this embodiment, the detection device obtains at least the 1st harmonic signal, the 2nd harmonic signal and the 3rd harmonic signal of the noise signal. The detection device also obtains the airflow velocity of the exhaust manifold of the vehicle and the inner diameter of the exhaust manifold from the vehicle controller, and the inner diameter of the exhaust manifold is a vehicle fixed parameter pre-stored in the vehicle.

[0081] Let i = 1, the detection device measures the air flow velocity V of the exhaust manifold c and the inner diameter L of the exhaust manifold c Substitute into the formula f bi =i*V c / L c In the equation f b1 =V c / L c ; Let i = 2, and we get f b2 =2*V c / L c ; Let i = 3, and get f b3 =3*V c / L c .f bi The unit is: Hz.

[0082] If f b1 、f b2 and f b3 The noise signals are all within the range of 3000Hz-8000Hz, and the detection device detects that the noise signal has narrow-band abnormal sound and frequency doubling characteristics within the frequency band of 3000Hz-8000Hz, indicating that the noise signal satisfies the third mapping relationship. The exhaust manifold leakage position carried in the third mapping relationship is determined as the leakage position corresponding to the noise signal. The exhaust manifold can also be understood as the exhaust side of the engine. When the exhaust side of the engine leaks, the spectrum of its abnormal noise is mostly broadband.

[0083] It can be understood that the third mapping relationship is established before leaving the factory. The vehicle is adjusted to a state where only the exhaust manifold leaks, and the abnormal sound caused by it is collected. It is found that the abnormal sound has a narrow frequency abnormal sound between 3000-8000Hz and has a multi-frequency characteristic, so as to establish the third mapping relationship.

[0084] like Figure 2 The operation of determining the leakage position corresponding to the noise signal in the optional step 120 includes:

[0085] Step 151: Obtain the speed of the supercharger of the vehicle and calculate the fourth target frequency f4, where f4=Vb ×W / 60,V b is the speed of the supercharger, W is the number of turbine blades of the vehicle;

[0086] Step 152: If the frequency spectrum of the noise signal satisfies the fourth mapping relationship, the leakage position is determined to be the rear end of the turbine, wherein the fourth mapping relationship includes leakage at the rear end of the turbine, turbine blade passing noise visible in the frequency spectrum, and a frequency within an allowable error range of a fourth target frequency f4; the leakage position and noise mapping relationship includes the fourth mapping relationship.

[0087] In this embodiment, the detection device performs spectrum analysis on the noise signal, and if turbine blade pass-through noise (TBPF) is visible in the spectrum of the noise signal, the detection is continued. If turbine blade pass-through noise (TBPF) is not present in the spectrum of the noise signal, the detection method of other embodiments is selected for detection.

[0088] In this embodiment, the detection device obtains the supercharger speed and the number of turbine blades of the vehicle from the vehicle controller. The number of turbine blades (i.e., the number of turbine blades) is a fixed parameter of the vehicle pre-stored in the vehicle. b Substitute the number of turbine blades W into the formula f4 = V b ×W / 60, the specific value of the fourth target frequency f4 is obtained. The unit of f4 is: Hz.

[0089] If the frequency of the noise signal is within the allowable error range of f4, for example, the allowable error range is -3% to +3%, then the frequency of the noise signal is within the range of f4*97% to f4*103%, indicating that the noise signal satisfies the fourth mapping relationship, and the leakage position of the turbine rear end carried in the fourth mapping relationship is determined as the leakage position corresponding to the noise signal. The turbine rear end can also be understood as the rear end of the turbine end impeller of the supercharger. When the position of the exhaust side of the engine leaks, the spectrum of its abnormal noise is mostly broadband + TBPF noise.

[0090] It is also possible to select the broadband noise in the fourth mapping relationship to be 2000 Hz-6000 Hz.

[0091] It can be understood that the fourth mapping relationship is established before leaving the factory. The vehicle is adjusted to a state where only the air leakage at the rear end of the turbine exists, and the abnormal noise caused by it is collected. It is found that the spectrum analysis of the abnormal noise shows the turbine blade pass-through noise (TBPF) and the frequency characteristics are within the allowable error range of (supercharger speed × number of turbine blades / 60), so the fourth mapping relationship is established.

[0092] like Figure 2 The operation of determining the leakage position corresponding to the noise signal in the optional step 120 includes:

[0093] Step 161, obtaining the engine speed of the vehicle, and calculating the first pulse period Ta, wherein Ta=120 / n, n is the engine speed;

[0094] Step 162: If the first pulse period Ta and the frequency spectrum of the noise signal satisfy the fifth mapping relationship, the leakage position is determined to be the intake valve, wherein the fifth mapping relationship includes intake valve leakage, noise frequency in the range of 3000Hz-6000Hz, and audio wavelet analysis showing that the first pulse period is two engine running cycles; the leakage position and noise mapping relationship includes the fifth mapping relationship.

[0095] In this embodiment, the detection device performs spectrum analysis on the noise signal, and if the frequency of the noise signal is within the range of 3000Hz-6000Hz, the detection is continued. If the frequency of the noise signal is not within the range of 3000Hz-6000Hz, the detection method of other embodiments is selected for detection.

[0096] In this embodiment, the detection device obtains the engine speed of the vehicle from the vehicle controller, substitutes the engine speed n into the formula Ta=120 / n, and obtains the specific value of the first pulse period Ta. The unit of engine speed is: r / min.

[0097] The detection device performs audio wavelet analysis on the noise signal to obtain the audio wavelet analysis result. If the audio wavelet analysis result shows that an abnormal sound pulse occurs within two engine running cycles, that is, the audio wavelet analysis result shows that the first pulse period is two engine running cycles, indicating that the noise signal satisfies the fifth mapping relationship, then the intake valve leakage position carried in the fifth mapping relationship is determined as the leakage position corresponding to the noise signal, where the position of the vehicle intake pipe can clearly perceive the pulsation energy. The intake valve can also be understood as the position of the vehicle intake pipe. When the vehicle intake valve leaks, the spectrum of its abnormal noise is mostly periodic, specifically 720° periodic intake pipe pulsation noise.

[0098] It can be understood that the fifth mapping relationship is established before leaving the factory. The vehicle is adjusted to a state where only the intake valve position leaks, and the abnormal sound caused by it is collected. It is found that the frequency band of the abnormal sound is 3000Hz-6000Hz, and the audio wavelet analysis results show that the abnormal sound pulse occurs once every two engine revolutions and the pulse period T=120 / n, so the fifth mapping relationship is established.

[0099] like Figure 2 The operation of determining the leakage position corresponding to the noise signal in the optional step 120 includes:

[0100] Step 171, obtaining the engine speed of the vehicle, and calculating the first pulse period Ta, wherein Ta=120 / n, n is the engine speed;

[0101] Step 172: If the first pulse period Ta and the frequency spectrum of the noise signal satisfy the sixth mapping relationship, the leakage position is determined to be the exhaust valve, wherein the sixth mapping relationship includes exhaust valve leakage, noise frequency in the range of 5000Hz-10000Hz, and audio wavelet analysis showing that the first pulse period is the duration of two engine runs; the leakage position and noise mapping relationship includes the sixth mapping relationship.

[0102] In this embodiment, the detection device performs spectrum analysis on the noise signal, and if the frequency of the noise signal is within the range of 5000Hz-10000Hz, the detection is continued. If the frequency of the noise signal is not within the range of 5000Hz-10000Hz, the detection method of other embodiments is selected for detection.

[0103] In this embodiment, the detection device obtains the engine speed of the vehicle from the vehicle controller, substitutes the engine speed n into the formula Ta=120 / n, and obtains the specific value of the first pulse period Ta. The unit of engine speed is: r / min.

[0104] The detection device performs audio wavelet analysis on the noise signal to obtain the audio wavelet analysis result. If the audio wavelet analysis result shows that an abnormal sound pulse occurs within two engine running cycles, that is, the audio wavelet analysis result shows that the first pulse period is two engine running cycles, indicating that the noise signal satisfies the sixth mapping relationship, then the exhaust valve leakage position carried in the sixth mapping relationship is determined as the leakage position corresponding to the noise signal, where the position of the vehicle exhaust pipe can clearly perceive the pulsation energy. The exhaust valve can also be understood as the position of the vehicle exhaust pipe. When the vehicle exhaust valve leaks, the spectrum of its abnormal noise is mostly periodic, specifically 720° periodic exhaust pipe pulsation noise.

[0105] It can be understood that the sixth mapping relationship is established before leaving the factory. The vehicle is adjusted to a state where only the exhaust valve position leaks, and the abnormal sound caused by it is collected. It is found that the frequency band of the abnormal sound is 5000Hz-10000Hz, and the audio wavelet analysis results show that the abnormal sound pulse occurs once every two engine revolutions and the pulse period T=120 / n, so the sixth mapping relationship is established.

[0106] As mentioned above, Figure 2 The detection method can determine the leak position through a variety of different detection processes. It can be understood that the detection device can perform the above multiple detection processes simultaneously or in a time-sharing manner according to its own computing power. Figure 2 There is no clear order of precedence when multiple detection processes are shown.

[0107] Based on the same inventive concept, an embodiment of the present invention provides a detection device, which can execute the detection method described in any of the above embodiments. The detection device can be implemented in the form of hardware and / or software. The detection device can be configured in a vehicle or as an independent mobile device.

[0108] Figure 3 is a schematic diagram of a detection device provided by an embodiment of the present invention, such as Figure 3 As shown, the detection device includes: an information acquisition module 210 and a leakage positioning module 220; the information acquisition module 210 is used to collect audio information in the vehicle and analyze the audio information to obtain one or more noise signals; the leakage positioning module 220 is used to determine the leakage position corresponding to the noise signal according to the vehicle's operating parameters, noise signals and a preset leakage position and noise mapping relationship.

[0109] In the present invention, the detection device can be integrated into a mobile phone or other recording device, and the leakage position can be quickly diagnosed according to the time-frequency characteristics of the abnormal sound of the leakage caused by different reasons. Specifically, the detection device can collect the audio of the leakage fault, and after performing the spectrum analysis of the audio, diagnose and quickly locate the leakage position corresponding to the abnormal sound type. There is no need to arrange multiple noise sensors in the car, which is easy to carry and low in cost.

[0110] The detection method of the present invention can detect the leakage fault of the whole engine during the normal operation of the engine, improve the efficiency of fault detection, and reduce the cost of fault handling. If the detection device is integrated in a mobile phone, when a suspected leakage fault occurs in the whole vehicle, the leakage fault can be quickly diagnosed directly with the help of the mobile phone audio.

[0111] The application scenario of the present invention does not require the operation of professional technicians. Maintenance personnel and even end customers can use mobile phones to record audio and transmit it to technicians for abnormal sound fault diagnosis, which is conducive to improving the timeliness of market services.

[0112] The detection device provided in the embodiment of the present invention can execute the detection method provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects for executing the detection method.

[0113] Figure 4 is a schematic diagram of an electronic device provided by an embodiment of the present invention. Figure 4As shown, electronic device 310 is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. Electronic device 310 may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or required herein.

[0114] The electronic device 310 includes at least one processor 311, and a memory connected to the at least one processor 311 in communication, such as a read-only memory (ROM) 312, a random access memory (RAM) 313, etc., wherein the memory stores a computer program that can be executed by the at least one processor 311, and the computer program is executed by the at least one processor 311 so that the at least one processor 311 can perform the detection method described in any embodiment of the present invention, and the processor 311 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 312 or the computer program loaded from the storage unit 318 to the random access memory (RAM) 313. In the RAM 313, various programs and data required for the operation of the electronic device 310 can also be stored. The processor 311, the ROM 312, and the RAM 313 are connected to each other via a bus 314. An input / output (I / O) interface 315 is also connected to the bus 314.

[0115] A number of components in the electronic device 310 are connected to the I / O interface 315, including: an input unit 316, such as a keyboard, a mouse, etc.; an output unit 317, such as various types of displays, speakers, etc.; a storage unit 318, such as a disk, an optical disk, etc.; and a communication unit 319, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 319 allows the electronic device 310 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0116] The processor 311 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the processor 311 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, digital signal processors (DSPs), and any appropriate processors, controllers, microcontrollers, etc. The processor 311 performs the various methods and processes described above, such as the detection method described in any embodiment of the present invention.

[0117] An embodiment of the present invention provides a computer-readable storage medium, which stores a computer program, and the computer program is used to implement the detection method described in any embodiment of the present invention when the processor 311 executes. In some embodiments, the detection method can be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 318. In some embodiments, part or all of the computer program can be loaded and / or installed on the electronic device 310 via ROM312 and / or communication unit 319. When the computer program is loaded into RAM313 and executed by the processor 311, one or more steps of the detection method described above can be performed. Alternatively, in other embodiments, the processor 311 can be configured to perform the detection method described in any embodiment of the present invention in any other appropriate manner (for example, by means of firmware).

[0118] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0119] The computer program for implementing the detection method of the present invention can be written in any combination of one or more programming languages. These computer programs can be provided to the processor of a general-purpose computer, a special-purpose computer or other programmable data processing device, so that the computer program, when executed by the processor, enables the functions / operations specified in the flow chart and / or block diagram to be implemented. The computer program can be executed completely on the machine, partially on the machine, partially on the machine as an independent software package and partially on a remote machine or completely on a remote machine or server.

[0120] In the context of the present invention, a computer-readable storage medium may be a tangible medium that may contain or store a computer program for use by or in combination with an instruction execution system, device or equipment. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0121] To provide interaction with a user, the systems and techniques described herein may be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0122] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0123] A computing system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The client and server relationship is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services.

[0124] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.

[0125] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A detection method, characterized in that: Applied in a vehicle, the detection method comprises: collecting audio information in the vehicle, and analyzing the audio information to obtain one or more noise signals; The air leakage position corresponding to the noise signal is determined according to the operating parameters of the vehicle, the noise signal and a preset mapping relationship between the air leakage position and the noise.

2. The detection method according to claim 1, characterized in that: Analyzing the audio information to obtain one or more noise signals includes: The audio information is analyzed in time domain and frequency domain.

3. The detection method according to claim 1, characterized in that: Determining the leak position corresponding to the noise signal includes: Obtain the air flow velocity of the intake manifold of the vehicle and the harmonic signal of the noise signal, and calculate the first target frequency f ai , where f ai =i*V a / L a , i is the multiple of the harmonic signal of the noise signal, i = 1, 2, 3, V a is the air flow velocity of the intake manifold, L a is the inner diameter of the intake manifold; If the first target frequency f ai If the first mapping relationship is satisfied, the leaking position is determined to be the front end of the intercooler, wherein the first mapping relationship includes the leaking of the front end of the intercooler and the presence of narrow-band abnormal sound and frequency doubling characteristics in the frequency range of 1000 Hz-5000 Hz; The mapping relationship between the air leakage position and the noise includes the first mapping relationship.

4. The detection method according to claim 1, characterized in that: Determining the leak position corresponding to the noise signal includes: The speed of the supercharger of the vehicle is obtained, and the second target frequency f2 is calculated, where f2=V b ×Y / 60, V b is the speed of the supercharger, and Y is the number of impeller blades of the vehicle; If the frequency spectrum of the noise signal satisfies the second mapping relationship, the leakage position is determined to be the rear end of the intercooler, wherein the second mapping relationship includes leakage at the rear end of the intercooler, the passing noise of the pressure wheel blade visible in the frequency spectrum, and the frequency being within the allowable error range of the second target frequency f2; The mapping relationship between the air leakage position and the noise includes the second mapping relationship.

5. The detection method according to claim 1, characterized in that: Determining the leak position corresponding to the noise signal includes: Obtain the air flow velocity of the exhaust manifold of the vehicle and the harmonic signal of the noise signal, and calculate the third target frequency f bi , where f bi =i*V c / L c , i is the multiple of the harmonic signal of the noise signal, i = 1, 2, 3, V c is the air flow velocity of the exhaust manifold, L c is the inner diameter of the exhaust manifold; If the third target frequency f bi If the third mapping relationship is satisfied, the leak location is determined to be the exhaust manifold, wherein the third mapping relationship includes exhaust manifold leak and the presence of narrow-band abnormal sound and frequency doubling characteristics within the frequency range of 3000 Hz-8000 Hz; The mapping relationship between the air leakage position and the noise includes the third mapping relationship.

6. The detection method according to claim 1, characterized in that: Determining the leak position corresponding to the noise signal includes: The speed of the supercharger of the vehicle is obtained, and the fourth target frequency f4 is calculated, wherein f4=V b ×W / 60,V b is the speed of the supercharger, W is the number of turbine blades of the vehicle; If the frequency spectrum of the noise signal satisfies the fourth mapping relationship, the leakage position is determined to be the rear end of the turbine, wherein the fourth mapping relationship includes leakage at the rear end of the turbine, turbine blade passing noise visible in the frequency spectrum, and a frequency within an allowable error range of the fourth target frequency f4; The mapping relationship between the air leakage position and the noise includes the fourth mapping relationship.

7. The detection method according to claim 1, characterized in that: Determining the leak position corresponding to the noise signal includes: Obtaining the rotation speed of the engine of the vehicle, and calculating the first pulse period Ta, wherein Ta=120 / n, n is the rotation speed of the transmitter; If the first pulse period Ta and the frequency spectrum of the noise signal satisfy the fifth mapping relationship, the leakage position is determined to be the intake valve, wherein the fifth mapping relationship includes the intake valve leakage, the noise frequency is in the range of 3000 Hz-6000 Hz, and the audio wavelet analysis shows that the first pulse period is the duration of two engine runs; The mapping relationship between the air leakage position and the noise includes the fifth mapping relationship.

8. The detection method according to claim 1, characterized in that: Determining the leak position corresponding to the noise signal includes: Obtaining the rotation speed of the engine of the vehicle, and calculating the first pulse period Ta, wherein Ta=120 / n, n is the rotation speed of the transmitter; If the first pulse period Ta and the frequency spectrum of the noise signal satisfy a sixth mapping relationship, the leakage position is determined to be the exhaust valve, wherein the sixth mapping relationship includes exhaust valve leakage, the noise frequency is in the range of 5000 Hz-10000 Hz, and the audio wavelet analysis shows that the first pulse period is the duration of two engine runs; The mapping relationship between the air leakage position and the noise includes the sixth mapping relationship.

9. A detection device, characterized in that: Applied in a vehicle, the detection device comprises: An information collection module, used to collect audio information in the vehicle and analyze the audio information to obtain one or more noise signals; The air leakage locating module is used to determine the air leakage position corresponding to the noise signal according to the operating parameters of the vehicle, the noise signal and a preset mapping relationship between the air leakage position and the noise.

10. An electronic device, characterized in that: include: at least one processor; and a memory communicatively coupled to the at least one processor; The memory stores a computer program that can be executed by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can perform the detection method according to any one of claims 1 to 8.

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