WO2020143089A1 - 车内噪音检测方法、装置及计算机设备 - Google Patents

车内噪音检测方法、装置及计算机设备 Download PDF

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Publication number
WO2020143089A1
WO2020143089A1 PCT/CN2019/073759 CN2019073759W WO2020143089A1 WO 2020143089 A1 WO2020143089 A1 WO 2020143089A1 CN 2019073759 W CN2019073759 W CN 2019073759W WO 2020143089 A1 WO2020143089 A1 WO 2020143089A1
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noise
vehicle
value
frequency
type
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French (fr)
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张国滔
郑勇
王辉
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Shenzhen Water World Co Ltd
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Shenzhen Water World Co Ltd
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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
    • G01H17/00—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves, not provided for in the other groups of this subclass

Definitions

  • This application relates to the field of noise detection, in particular to a method, device and computer equipment for detecting noise in a vehicle.
  • the main purpose of the present application is to provide a method, device and computer equipment for detecting noise in a vehicle.
  • the method for detecting noise in a vehicle can find out the type of noise whose volume exceeds the standard while the car is driving.
  • This application proposes a method for detecting noise in a vehicle, including:
  • This application also proposes an in-vehicle noise detection device, including:
  • the detection module is used to obtain the noise signal in the vehicle in real time during the driving process of the vehicle, and to detect the noise value of the noise signal, where the noise signal includes signals of multiple noise types;
  • the judgment module is used to judge whether the noise value meets the preset state standard
  • the analysis module is used to perform spectrum analysis on the noise signal when the noise value does not meet the preset state standard, and determine the noise type with excessive volume in the noise signal according to the analysis result of the spectrum analysis and the pre-stored noise type-frequency value correspondence data .
  • the present application also proposes a computer device, including a memory, a processor, and a computer program stored on the memory and executable on the processor.
  • the processor implements the computer program to implement the aforementioned method for detecting noise in a vehicle.
  • the present invention has the beneficial effect that the method for detecting noise in a vehicle according to an embodiment of the present application detects the noise in the vehicle during real-time driving, measures the noise level in the vehicle, and then judges the interior of the vehicle Does the noise level meet the preset state standard? If not, it means that the noise in the car has exceeded the standard.
  • the noise corresponding to the noise signal at different frequencies can be analyzed Value, and then combined with the analysis results of spectrum analysis and the pre-stored data of noise type-frequency value correspondence to determine the type of noise with excessive volume in the noise signal, so as to find the type of noise with excessive volume during driving , Which can facilitate the related noise cancellation for noise types with excessive volume.
  • FIG. 1 is a schematic flowchart of a method for detecting noise in a vehicle in an implementation of this application;
  • FIG. 2 is a schematic structural diagram of an in-vehicle noise detection device in an implementation of this application.
  • FIG. 3 is a schematic diagram of the specific structure of the judgment module
  • Figure 4 is a schematic diagram of the specific structure of the analysis module
  • FIG. 5 is a schematic structural diagram of a computer device in an embodiment of the present application.
  • FIG. 6 is a schematic structural diagram of a noise detection device for a vehicle in another implementation of the present application.
  • FIG. 7 is a schematic structural diagram of a microphone array in an embodiment of the present application.
  • FIG. 8 is a schematic diagram of position information of an excessive noise source in an embodiment of the present application.
  • an embodiment of the present application provides a method for detecting noise in a vehicle, including:
  • the in-vehicle smart speaker with a built-in microphone array can be obtained in real time to obtain the noise signal in the car during the driving process of the vehicle, and the noise value of the noise signal can be detected.
  • the standard configuration of the car so the real-time detection of noise in the car through the built-in microphone array in the car smart speaker can save unnecessary hardware investment; specifically, considering that there is a certain interval between the microphones in the microphone array, The sound pressure values measured by the microphones at the same instant may be different, so to compensate for this difference, the actual noise value can be used as the actual noise value by calculating the arithmetic average of the sound pressure values measured by multiple microphones at the same instant, For example, referring to FIG.
  • the microphone array is a circular microphone array composed of five microphones.
  • the sound pressure values measured by the microphones MIC1, 2, 3, 4, and 5 are 60.5 dB, 60.4 decibels, 61.6 decibels, 60.3 decibels, 60.7 decibels, then the arithmetic average of the sound pressure values measured by these five microphones at that instant is 60.5 decibels; in this step, those skilled in the art can understand
  • the vehicle-mounted smart speakers of the microphone array to detect the noise level in the vehicle, other methods in the prior art can also be used to detect the noise level in the vehicle, which will not be repeated here.
  • the noise value in the vehicle after measuring the noise value in the vehicle during the driving of the vehicle through the microphone array, it is further determined whether the noise value meets the preset state standard.
  • the role of the preset state standard is to measure whether the noise level in the vehicle is Exceeding the standard, when it is determined that the noise value meets the preset state standard, it indicates that the noise level in the car is at a normal level, and then returns to the above S11 to perform related operations; and when it is determined that the noise value does not meet the preset state standard, it indicates The noise level exceeds the normal level, then enter S13 to perform related operations.
  • the spectrum analysis of the acquired noise signal is further performed, because the collected noise signal is a sound signal combining multiple noise types, and , Different noise types (ie different types of noise), the frequency value is different, so by performing a spectrum analysis of the noise signal, the noise value corresponding to the noise signal at different frequencies can be analyzed, so as long as you find out
  • the frequency value corresponding to the noise value can be used to find the corresponding noise type in the pre-stored noise type-frequency value correspondence data through the frequency value, and the noise type corresponding to the frequency value is the noise with excessive volume Types of.
  • the in-vehicle noise detection method detects the noise in the vehicle in real time by measuring the noise in the vehicle, and then determines whether the noise in the vehicle meets the preset state standard. If not, , It means that the noise in the car has exceeded the standard.
  • the noise value corresponding to the noise signal at different frequencies can be analyzed, and then combining the analysis result of the spectrum analysis and the pre-stored noise
  • the type-frequency value correspondence data can be analyzed to determine the type of noise that exceeds the volume in the noise signal, so as to find the type of noise that exceeds the volume during the driving of the car, which can facilitate the correlation of the type of noise that exceeds the volume. Noise cancellation work.
  • whether the noise value meets the preset state standard can be determined in the following manner:
  • the noise in the vehicle is mainly generated by the engine and the vehicle air conditioner ,
  • the influence of wind noise and wheel noise is small, and during the driving of a vehicle at a certain speed, the noise in the car will be affected by the wind noise and wheel noise in addition to the engine and on-board air conditioning (the faster the speed, The greater the impact), so the noise value generated by the vehicle during idling is smaller than the noise value generated by the vehicle when the vehicle is traveling at a certain speed (the faster the vehicle travels, the greater the difference in noise value), so in order to comply with Actually, to improve the reliability of judgment, it is not possible to measure whether the noise level in the car exceeds the standard simply by judging whether the measured noise value exceeds the preset threshold value, and also consider the speed factor. Specifically, you can pass The speed sensor of the vehicle acquires the current vehicle speed data of the
  • the vehicle speed-noise correspondence relationship data obtained through experiments may be stored in a preset database in advance, and the vehicle speed-noise correspondence relationship data may be used as a basis for determining whether the noise value corresponds to the current vehicle speed data , Where the speed and noise have a linear relationship with each other; if the noise value corresponds to the current speed data, it means that the noise level in the car is at a normal level, then return to S11 to perform related operations; and if the noise value If it does not correspond to the current vehicle speed data, it indicates that the noise level in the vehicle exceeds the normal level. At this time, enter S123 to perform related operations.
  • the noise corresponding to the vehicle at idle speed The value is 47.5 decibels, and the corresponding noise value at a vehicle speed of 60 km/h is 62.5 decibels. Therefore, if the noise value measured during idling of the vehicle is 50 decibels, it means that the noise level in the vehicle exceeds the normal level For the same reason, if the noise value measured during a vehicle traveling at a speed of 60 km/h is 60 decibels, then the noise level in the vehicle is at a normal level.
  • the in-vehicle smart speaker when it is determined that the measured noise value does not correspond to the current vehicle speed data through the pre-stored speed-noise correspondence data, the in-vehicle smart speaker can determine that the noise value does not meet the preset state standard. You can enter S13 for related operations.
  • performing spectrum analysis on the noise signal, and determining the noise type with excessive volume in the noise signal according to the analysis result of the spectrum analysis and the pre-stored noise type-frequency value correspondence data includes:
  • S131 obtain a noise spectrum corresponding to the noise signal
  • S132 find one or more frequency ranges corresponding to the sound pressure in the noise spectrum exceeding the preset sound pressure threshold
  • S133 compare the frequency values corresponding to multiple specified noise types in the noise type-frequency value correspondence data with each frequency range one by one, and determine one or more frequency values matching the frequency range; S134, The noise type corresponding to the matched frequency value is determined as the noise type with excessive volume.
  • the noise spectrogram is "amplitude spectrogram", that is, the abscissa of the spectrogram is the frequency of noise (unit: HZ), and the ordinate is the sound pressure value of noise (unit: dB).
  • the obtained noise spectrogram is actually a complete A continuous curve with regular and constant fluctuations.
  • one or more frequency ranges corresponding to the sound pressure value exceeding the preset sound pressure threshold can be found in the noise spectrum chart.
  • the current vehicle is in The driving speed is 60km/h at a constant speed.
  • the noise value corresponding to the speed is 62.5 decibels.
  • the sound pressure value is greater than or equal to the frequency band corresponding to 62.5 dB (that is, the frequency range), it can be determined that the noise type corresponding to the frequency band exceeds the normal level (ie, exceeds the standard). Among them, in the noise spectrum chart, the sound pressure value exceeds
  • the frequency band corresponding to the preset sound pressure threshold may be one or more.
  • the noise type-frequency value correspondence relationship data is a one-to-one correspondence mapping table between the noise type and the frequency value, and the relationship mapping table contains a plurality of frequency values corresponding to the specified noise type, which can be obtained through experiments in advance Obtained, where the frequency values corresponding to multiple specified noise types include the engine noise frequency value, air conditioning noise value, wind noise frequency value and wheel noise frequency value, generally, the engine noise frequency range is 1000 ⁇ 10000HZ
  • the frequency range of air-conditioning noise is 20 ⁇ 100HZ
  • the frequency range of wind noise is 1500 ⁇ 5000HZ
  • the frequency range of wheel noise is 500 ⁇ 800HZ.
  • the noise of the air conditioner is related to the air conditioner’s refrigerator.
  • the wind noise is related to the vehicle model, and the wheel noise is related to the tire pattern. Therefore, in order to accurately obtain the specific frequency values corresponding to the noise of engine noise, air conditioning noise, wind noise, wheel noise, etc., it needs to be measured in practice for the vehicle model;
  • the noise type-frequency value correspondence relationship data obtained through experiments may be stored in a preset database in advance, and the sound pressure value analyzed through the noise spectrum chart corresponding to the sound pressure value exceeding the preset sound pressure threshold corresponds to After one or more frequency bands, by comparing the frequency values corresponding to multiple specified noise types in the noise type-frequency value correspondence data with each frequency band (that is, the frequency range) one by one, the matching with the frequency range can be determined One or more frequency values, you can enter S134 to perform related operations.
  • the frequency value of the pre-stored engine noise is 5000 Hz
  • the air conditioning noise value is 60 Hz
  • the wind noise frequency value is 3000 Hz
  • the wheel noise frequency value is 600 Hz.
  • the noise spectrum chart analyzes that the sound pressure value corresponding to the frequency band 4800 ⁇ 5200HZ exceeds the preset value. By comparing the four pre-stored frequency values with the frequency band one by one, the frequency value of the engine noise can be obtained.
  • the comparison result in the frequency band that is, the frequency value that matches the frequency band of 4800-5200HZ is determined to be 5000HZ), so that the type of noise with excessive volume can be determined as engine noise.
  • the method further includes:
  • S12a if the noise value does not meet the preset state standard, then record the noise in the car to generate a corresponding recording file; S12b, send the recording file to the designated device.
  • the noise in the car when it is analyzed that the noise value does not meet the preset state standard, it means that the noise level in the car exceeds the normal level.
  • the noise in the car can be recorded through the car smart speaker to generate the corresponding recording file , And send the generated recording file to the designated device (such as the user's smartphone) by wireless (such as Bluetooth, cloud server, etc.) or wired (such as data cable, etc.), so that the user can receive
  • the recorded file can easily and timely understand the noise situation in the car, and plays a role of early warning, so as to discover in time and carry out related noise elimination work in time.
  • the method before the step of determining whether the noise value meets the preset state standard, the method further includes:
  • S11A to obtain the vehicle model information
  • S11B to find the speed-noise correspondence data corresponding to the vehicle model information in the preset database according to the vehicle model information.
  • the noise value corresponding to the vehicle speed is also different. Therefore, the corresponding vehicle speed-noise correspondence data needs to be stored in the preset database for the current vehicle model in advance, that is, the vehicle model information and the vehicle speed -The noise correspondence data is correlated and stored in a preset database, where the database can be stored in an external device (such as a cloud server) or locally in the car system.
  • car manufacturers generally The vehicle model information corresponding to the vehicle is stored on the vehicle system, so the in-vehicle smart speaker can obtain the vehicle model information of the current vehicle by accessing the local database of the vehicle system, and then based on the obtained model information on the local or cloud server of the vehicle system Search in the database (the preset database stores the speed-noise correspondence data corresponding to different models, especially when the database is stored in a cloud server), find the speed-noise correspondence corresponding to the current vehicle model information Data for subsequent operations based on the speed-noise correspondence data. If the in-vehicle smart speaker does not find the speed-noise correspondence data corresponding to the current vehicle in the database of the car system local or cloud server, you can set a reminder to Remind users to store the corresponding speed-noise correspondence data.
  • the step of determining the noise type with excessive volume in the noise signal further includes:
  • S15 calculate the relative delay of the excess noise source corresponding to the noise type with excessive volume reaching each microphone element in the preset microphone array;
  • S16 obtain the position information of the excess noise source according to the relative delay;
  • S17 Send the location information of the excessive noise source to the designated device for display.
  • the noise signal in the car is collected through the microphone array built in the car smart speaker.
  • the collected noise signal is a sound signal of a combination of multiple noise types in the car, and the frequency of different noise types is different, so it can be determined according to the frequency in the noise signal.
  • the noise type of the volume exceeding the standard, and then determining the corresponding noise source according to the noise type of the volume exceeding the standard, and then using the preset time delay estimation algorithm to calculate the relative delay only need to reach the preset microphone
  • the relative delay of each microphone element in the array can be calculated, and the remaining noise sources do not need to be processed.
  • the over-standard noise source is the engine noise source
  • the engine noise frequency value is 5000HZ.
  • Delay estimation algorithm (Of course, other delay estimation algorithms can also be used, such as adaptive delay estimation algorithm, phase spectrum delay estimation algorithm, etc.)
  • the sound signal with a frequency value of 5000HZ in the noise signal reaches each microphone in the preset microphone array The relative delay of the array elements.
  • the specific location information of the excessive noise source can be sent to the wireless (such as Bluetooth, cloud server, etc.) or wired (such as data cable, etc.) to Display on a designated device (such as the user’s smartphone).
  • a specific application APP
  • the smartphone can pass through the cloud server Establish a remote communication connection with the car smart speaker.
  • the cloud server Establish a remote communication connection with the car smart speaker.
  • the actual microphone array and the APP There is a one-to-one correspondence between the actual microphone array and the APP.
  • the location of the over-standard noise source can be displayed in the circular diagram on the APP.
  • the over-standard noise source is an engine noise source
  • it is displayed on the APP
  • the specific location information of the engine noise source will be displayed in the circular diagram.
  • the engine noise source A is located in the northwest direction of the reference coordinate system
  • the angle to the microphone MIC1 is 40 degrees
  • the distance is 1.36 meters (Figure (Not shown), so that users can not only know what type of noise exceeds the standard, but also can know the exact location of the noise source in the car, so that the user can quickly find the specific noise source in the car. Removal of relevant noise is carried out at the site.
  • the specific location of the excessive noise source is determined by using the sound source localization technology based on the time difference of arrival (TDOA) of the microphone array and sent to the designated device for display , So that users can easily and quickly find specific parts of excessive noise sources for related noise cancellation work, greatly improving the user's experience.
  • TDOA time difference of arrival
  • an embodiment of the present application further proposes an in-vehicle noise detection device, including:
  • the detection module 1 is used to obtain the noise signal in the vehicle in real time during the driving process of the vehicle and detect the noise value of the noise signal, where the noise signal includes signals of multiple noise types;
  • the judgment module 2 is used to judge whether the noise value meets the preset state standard
  • the analysis module 3 is used to perform spectrum analysis on the noise signal when the noise value does not meet the preset state standard, and determine the noise with excessive volume in the noise signal according to the analysis result of the spectrum analysis and the pre-stored noise type-frequency value correspondence data Types of.
  • the detection module 1 can obtain the noise signal in the vehicle in real time through the vehicle-mounted smart speaker with the built-in microphone array, and detect the noise value of the noise signal, because the vehicle-mounted smart speaker is almost Standard for all cars, so the real-time detection of noise in the car through the built-in microphone array in the car smart speaker can save unnecessary hardware investment; specifically, considering that there is a certain interval between the microphones in the microphone array , The sound pressure values measured by the microphones at the same instant may be different, so to compensate for this difference, the actual noise value can be used as the actual noise value by calculating the arithmetic average of the sound pressure values measured by multiple microphones at the same instant For example, referring to FIG.
  • the microphone array is a circular microphone array composed of five microphones.
  • the sound pressure values measured by the microphones MIC1, 2, 3, 4, and 5 are 60.5 dB, respectively. , 60.4 decibels, 61.6 decibels, 60.3 decibels, 60.7 decibels, then the arithmetic average of the sound pressure values measured by the five microphones at that instant is 60.5 decibels; in this step, those skilled in the art can understand
  • the in-vehicle smart speaker with built-in microphone array to detect the noise level in the vehicle, other methods in the prior art can also be used to detect the noise level in the vehicle, which will not be repeated here.
  • the judgment module 2 after the detection module 1 detects the noise value in the vehicle during the driving of the vehicle through the microphone array, the judgment module 2 further judges whether the noise value meets the preset state standard, wherein the preset state The role of the standard is to measure whether the noise level in the car exceeds the standard.
  • the judgment module 2 determines that the noise value meets the preset state standard, it indicates that the noise level in the car is at a normal level.
  • the detection module 1 performs the relevant operation; and
  • the judgment module 2 judges that the noise value does not meet the preset state standard, it indicates that the noise level in the vehicle exceeds the normal level, and then the analysis module 3 performs the relevant operation.
  • the analysis module 3 when the determination module 2 determines that the noise level in the vehicle exceeds the normal level, the analysis module 3 further performs spectrum analysis on the acquired noise signal, because the collected noise signals are multiple The sound signal of the combined noise type, and the frequency value of different noise types (ie different types of noise) is different, so the spectrum analysis of the noise signal through the analysis module 3 can analyze the noise signal at different frequencies The noise value corresponding to the lower level, so as long as the frequency value corresponding to the excessive noise value is found, the corresponding noise type can be found in the pre-stored noise type-frequency value correspondence data through the frequency value, and then the frequency The type of noise corresponding to the value is the type of noise with excessive volume.
  • the in-vehicle noise detection device detects the noise in the vehicle during the driving process in real time, measures the noise level in the vehicle, and then determines whether the noise level in the vehicle meets the preset state standard. , It means that the noise in the car has exceeded the standard.
  • the noise value corresponding to the noise signal at different frequencies can be analyzed, and then combining the analysis result of the spectrum analysis and the pre-stored noise
  • the type-frequency value correspondence data can be analyzed to determine the type of noise that exceeds the volume in the noise signal, so as to find the type of noise that exceeds the volume during the driving of the car, which can facilitate the correlation of the type of noise that exceeds the volume. Noise cancellation work.
  • the judgment module 2 includes:
  • the obtaining unit 21 is used to obtain the current speed data of the vehicle
  • the judgment unit 22 is used to judge whether the noise value corresponds to the current vehicle speed data according to the pre-stored vehicle speed-noise correspondence data
  • the determining unit 23 is configured to determine that the noise value does not meet the preset state standard when the noise value does not correspond to the current vehicle speed data.
  • the maximum and minimum values of the noise in the vehicle are also different.
  • the noise in the vehicle is mainly caused by the engine and the vehicle air conditioner
  • the impact of wind noise and wheel noise is small, and the noise inside the car will be greater than that generated by the engine and the vehicle air conditioner while the vehicle is driving at a certain speed.
  • the acquiring unit 21 may acquire the current vehicle speed data of the vehicle in real time through a speed sensor provided with the vehicle, and when the current vehicle speed data of the vehicle is acquired, the judgment unit 22 performs the relevant operation.
  • the vehicle speed-noise correspondence relationship data obtained through experiments may be stored in a preset database in advance, and the vehicle speed-noise correspondence relationship data may be used to determine whether the noise value corresponds to the current vehicle speed data The basis of which is that there is a linear relationship between the speed and the noise. If the judgment unit 22 determines that the noise value corresponds to the current speed data, it indicates that the noise level in the car is at a normal level. Unit 21 performs related operations; if the determination unit 22 determines that the noise value does not correspond to the current vehicle speed data, it indicates that the noise level in the vehicle exceeds the normal level. At this time, the determination unit 23 performs the related operations.
  • the noise value corresponding to the vehicle at idle speed is 47.5 dB
  • the noise value corresponding to the vehicle at 60 km/h is 62.5 dB
  • the noise value is 50 decibels, which means that the noise level in the car exceeds the normal level.
  • the noise value measured during the driving at a speed of 60 km/h is 60 decibels, it means that the car is in the car.
  • the noise level is at a normal level.
  • the determination unit 23 when the determination unit 22 determines that the measured noise value does not correspond to the current vehicle speed data through the pre-stored vehicle speed-noise correspondence data, then the determination unit 23 may determine that the noise value does not meet the Set the status standard, and at this time, the analysis module 3 can perform the relevant operations.
  • the analysis module 3 includes:
  • the signal processing unit 31 is used to obtain a noise spectrum chart corresponding to the noise signal
  • the searching unit 32 is used to find one or more frequency ranges corresponding to the sound pressure value in the noise spectrum chart exceeding the preset sound pressure threshold;
  • the comparison unit 33 is used to compare the frequency values corresponding to the multiple specified noise types in the pre-stored noise type-frequency value correspondence data with each frequency range one by one to determine one or more frequencies matching the frequency range value;
  • the determining unit 34 is configured to determine the noise type corresponding to the matched frequency value as the noise type with excessive volume.
  • the signal processing unit 31 may perform discrete Fourier transform digital signal processing on the acquired noise signal, A noise spectrogram corresponding to the noise signal can be obtained, where the noise spectrogram is an "amplitude spectrogram", that is, the abscissa of the spectrogram is the frequency of the noise (unit: HZ), and the ordinate is the sound pressure value of the noise (Unit: dB).
  • the noise spectrum obtained is actually a A continuous curve with irregular and constant fluctuations, through which the noise spectrogram is analyzed by the searching unit 32, one or more frequency ranges corresponding to the sound pressure value exceeding the preset value can be found in the noise spectrogram, for example,
  • the current vehicle is driving at a constant speed of 60km/h.
  • the noise value corresponding to the vehicle speed is 62.5 dB.
  • the frequency band corresponding to the sound pressure value greater than or equal to 62.5 dB (that is, the frequency range) can be found in the figure to determine that the type of noise corresponding to the frequency band exceeds the normal level (ie, exceeds the standard).
  • the sound The frequency band corresponding to the pressure value exceeding the preset value may be one or more.
  • the noise type-frequency value correspondence relationship data is a one-to-one correspondence mapping table between the noise type and the frequency value, and the relation mapping table contains a plurality of frequency values corresponding to the specified noise type, which can be passed in advance Obtained through experiments, where the frequency values corresponding to multiple specified noise types include the frequency value of engine noise, the frequency value of air conditioning noise, the frequency value of wind noise and the frequency value of wheel noise.
  • the frequency range of engine noise is 1000 ⁇ 10000HZ
  • air conditioner noise frequency range is 20 ⁇ 100HZ
  • wind noise frequency range is 1500 ⁇ 5000HZ
  • wheel noise frequency range is 500 ⁇ 800HZ
  • engine noise is related to engine, air conditioner noise and air conditioner cooling
  • the wind noise is related to the vehicle model, and the wheel noise is related to the tire pattern. Therefore, in order to accurately obtain the specific frequency values corresponding to the noise such as engine noise, air conditioning noise, wind noise, wheel noise, etc., it needs to be measured for the model in practice.
  • the noise type-frequency value correspondence data obtained through experiments can be stored in a preset database in advance, and the sound pressure value analyzed through the noise spectrum chart exceeds the preset sound pressure threshold After the corresponding one or more frequency bands, the frequency value corresponding to the multiple specified noise types in the noise type-frequency value correspondence data is compared with each frequency band (ie, frequency range) one by one through the comparison unit 33 to determine One or more frequency values matching the frequency range may be handed over to the determination unit 34 to perform related operations.
  • each frequency band ie, frequency range
  • the frequency value of the pre-stored engine noise is 5000 Hz
  • the air conditioning noise value is 60 Hz
  • the wind noise frequency value is 3000 Hz
  • the wheel noise frequency value is 600 Hz.
  • the noise frequency spectrum corresponding to the frequency band 4800 ⁇ 5200HZ is analyzed through the noise spectrum chart, and the sound pressure value corresponding to the frequency band exceeds the preset value.
  • the value falls within the comparison result of the frequency band (that is, the frequency value that matches the frequency band of 4800-5200 Hz is 5000 Hz), so that the determining unit 34 can accordingly determine that the type of noise with excessive volume is engine noise.
  • the interior noise detection device of the embodiment of the present application further includes:
  • the recording module 4 is used to record the noise in the car when the noise value does not meet the preset state standard and generate the corresponding recording file;
  • the first sending module 5 is used to send the recording file to the designated device.
  • the recording module 4 can record the noise in the car to generate Corresponding recording file, and send the generated recording file to the designated device (such as the user's smartphone) wirelessly (such as Bluetooth, cloud server, etc.) or wired (such as data cable) through the first sending module 5
  • the designated device such as the user's smartphone
  • wirelessly such as Bluetooth, cloud server, etc.
  • wired such as data cable
  • the interior noise detection device of the embodiment of the present application further includes:
  • the first obtaining module 6 is used to obtain the vehicle model information; the searching module 7 is used to find the vehicle speed-noise correspondence data corresponding to the vehicle model information in the preset database according to the vehicle model information.
  • the noise value corresponding to the vehicle speed is also different. Therefore, the corresponding vehicle speed-noise correspondence data needs to be stored in the preset database for the current vehicle model in advance, that is, the vehicle model information and the vehicle speed -The noise correspondence data is correlated and stored in a preset database, where the database can be stored in an external device (such as a cloud server) or locally in the car system.
  • car manufacturers generally The vehicle model information corresponding to the vehicle is stored on the vehicle system, so the first obtaining module 6 can obtain the vehicle model information of the current vehicle by accessing the local database of the vehicle system, and then according to the obtained vehicle model information through the search module 7 in the vehicle Search in the database of the system local or cloud server (the preset database stores the speed-noise correspondence data corresponding to different models, especially when the database is stored in the cloud server), find out the information corresponding to the current vehicle model Speed-noise correspondence data for subsequent operations based on the speed-noise correspondence data, if the search module 7 does not find the speed-noise correspondence data corresponding to the current vehicle in the database of the vehicle system local or cloud server, Then, a reminder can be set to remind the user to store the corresponding speed-noise correspondence data.
  • the interior noise detection device of the embodiment of the present application further includes:
  • the calculation module 8 is used to calculate the relative delay of the excess noise source corresponding to the noise type with excessive volume reaching each microphone element in the preset microphone array;
  • the second obtaining module 9 is used to obtain the position information of the excessive noise source according to the relative delay
  • the second sending module 10 is used to send the location information of the over-standard noise source to the designated device for display.
  • the detection module 1 can collect the car through the microphone array built in the car smart speaker The noise signal inside, because the collected noise signal is the sound signal of a combination of multiple noise types in the car, and the frequency of different noise types is different, so the foregoing can be determined according to the frequency in the noise signal
  • the noise level of the excessive volume has been determined, and then the corresponding excessive noise source is determined according to the noise type of the excessive volume.
  • the module 8 can calculate the relative delay of the over-standard noise source reaching each microphone element in the preset microphone array, and the remaining noise sources need not be processed.
  • the over-standard noise source is the engine noise source
  • the frequency value of the engine noise 5000HZ the calculation module 8 can estimate the frequency value of the noise signal through the preset cross-correlation delay estimation algorithm (of course, other delay estimation algorithms can also be used, such as adaptive delay estimation algorithm, phase spectrum delay estimation algorithm, etc.)
  • the relative delay of the sound signal of 5000HZ reaching each microphone array element in the preset microphone array can estimate the frequency value of the noise signal through the preset cross-correlation delay estimation algorithm (of course, other delay estimation algorithms can also be used, such as adaptive delay estimation algorithm, phase spectrum delay estimation algorithm, etc.) The relative delay of the sound signal of 5000HZ reaching each microphone array element in the preset microphone array.
  • the relative delay is substituted into the preset geometric formula by the second acquisition module 9 (the geometric formula is well known in the prior art The geometric formula of this will not be repeated here), the distance difference between the excess noise source and each microphone array element can be calculated, and then the direction of the excess noise source can be calculated through the existing geometric algorithm in combination with the array topology. Due to the distance difference and The directions have been calculated, so the specific location of the excessive noise source is also determined.
  • the second sending module 10 may be wireless (such as Bluetooth, cloud server, etc.) or wired (such as data cable, etc.)
  • the specific location information of the excessive noise source is sent to the designated device (such as the user’s smartphone) for display.
  • the designated device such as the user’s smartphone
  • a specific application APP
  • the smartphone can establish a remote communication connection with the car smart speaker through the cloud server.
  • the cloud server Specifically, there will be a circular diagram and position coordinates of the car smart speaker microphone array on the application interface of the APP. There is a one-to-one correspondence between microphone arrays.
  • the APP When the APP receives the location information of the excessive noise source sent by the car smart speaker, it can display the location of the excessive noise source in the circular diagram on the APP.
  • the noise source that exceeds the standard is the engine noise source, and the specific location information of the engine noise source will be displayed in the circular diagram on the APP.
  • the engine noise source A As shown in FIG. 10, the engine noise source A is located in the northwest direction of the reference coordinate system, and the microphone MIC1
  • the angle is 40 degrees and the distance is 1.36 meters (not shown in the figure), so that users can not only know what type of noise exceeds the standard, but also can know exactly the specific location of the noise source in the car, thus It is convenient for users to quickly find specific parts of excessive noise sources in the car for related noise elimination work.
  • the specific location of the excessive noise source is determined by using the sound source localization technology based on the time difference of arrival (TDOA) of the microphone array and sent to the designated device for display , So that users can easily and quickly find specific parts of excessive noise sources for related noise cancellation work, greatly improving the user's experience.
  • TDOA time difference of arrival
  • an embodiment of the present application further provides a computer device 100 including a memory 200, a processor 300, and a computer program 400 stored on the memory 200 and executable on the processor 300.
  • the processor 300 executes the computer program 400 Implement the method for detecting noise in a vehicle in any of the above-mentioned implementations.
  • the computer device 100 described in the embodiment of the present invention is the device involved in the above-mentioned method for performing one or more of the methods described in this application.
  • These devices may be specially designed and manufactured for the required purpose, or may also include known devices in general-purpose computers.
  • These devices have computer programs 400 or application programs stored therein, which are selectively activated or reconstructed.
  • Such a computer program 400 may be stored in a device (eg, computer) readable medium or any type of medium suitable for storing electronic instructions and respectively coupled to a bus, the computer readable medium including but not limited to Any type of disk (including floppy disk, hard disk, optical disk, CD-ROM, and magneto-optical disk), ROM (Read-Only Memory, read-only memory), RAM (Random Access Memory, random access memory), EPROM (Erasable Programmable Read-Only Memory, EEPROM (Electrically Erasable Programmable Read-Only Memory), flash memory, magnetic card or light card. That is, a readable medium includes any medium that stores or transmits information in a readable form by a device (eg, a computer).

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Abstract

本申请揭示了车内噪音检测方法、装置及计算机设备，车内噪音检测方法包括：实时获取噪音信号，并检测噪音信号的噪音值；判断噪音值是否符合预设状态标准；若否，则对噪音信号进行频谱分析，并根据分析结果和预存的噪音类型-频率值对应关系数据确定出音量超标的噪音类型。该车内噪音检测方法可查找出音量超标的噪音类型。

Description

车内噪音检测方法、装置及计算机设备 技术领域
本申请涉及到噪声检测领域，特别是涉及到一种车内噪音检测方法、装置及计算机设备。
 背景技术
随着技术的发展和人们生活水平的不断提高，汽车已成为人们必不可少的出行工具，人们对乘坐汽车时的舒适性也提出了更高的要求。
在汽车行驶的过程中，由于各种原因，车内不可避免地会产生各种各样的噪音，当噪音的大小超出人所能承受的程度时，会给人带来不适，严重影响到车内乘客的乘坐体验。然而，现有的噪声测试仪只能测量汽车行驶过程中车内的噪音大小，并不能分析出是何种类型的噪音超标了，从而不便于进行噪音的消除工作。
因此，如何在汽车行驶的过程中查找出音量超标的噪音类型，是本领域技术人员亟待解决的技术问题。
 技术问题
本申请的主要目的为提供一种车内噪音检测方法、装置及计算机设备，该车内噪音检测方法可在汽车行驶的过程中查找出音量超标的噪音类型。
 技术解决方案
本申请提出一种车内噪音检测方法，包括：
实时获取车辆行驶过程中车内的噪音信号，并检测噪音信号的噪音值，其中，噪音信号包括多个噪音类型的信号；
判断噪音值是否符合预设状态标准；
若否，则对噪音信号进行频谱分析，并根据频谱分析的分析结果和预存的噪音类型-频率值对应关系数据确定出噪音信号中音量超标的噪音类型。
本申请还提出一种车内噪音检测装置，包括：
检测模块，用于实时获取车辆行驶过程中车内的噪音信号，并检测噪音信号的噪音值，其中，噪音信号包括多个噪音类型的信号；
判断模块，用于判断噪音值是否符合预设状态标准；
分析模块，用于当噪音值不符合预设状态标准时，对噪音信号进行频谱分析，并根据频谱分析的分析结果和预存的噪音类型-频率值对应关系数据确定出噪音信号中音量超标的噪音类型。
本申请还提出一种计算机设备，包括存储器、处理器以及存储在存储器上并可在处理器上运行的计算机程序，处理器执行计算机程序时实现前述的车内噪音检测方法。
 有益效果
本发明与现有技术相比，有益效果在于：本申请实施例的车内噪音检测方法通过实时对车辆行驶过程中车内的噪音情况进行检测，测出车内的噪音大小，然后判断车内的噪音大小是否符合预设状态标准，若不符合，则说明车内的噪音已超标，此时，通过进一步对车内噪音信号进行频谱分析，可分析出噪声信号在不同频率下所对应的噪音值，然后结合频谱分析的分析结果和预存的噪音类型-频率值对应关系数据进行分析即可确定出噪音信号中音量超标的噪音类型，从而实现在汽车行驶的过程中查找出音量超标的噪音类型，进而可便于针对音量超标的噪音类型进行相关的噪音消除工作。
 附图说明
图1是本申请一实施中车内噪音检测方法的流程示意图；
图2是本申请一实施中车内噪音检测装置的结构示意图；
图3是判断模块的具体结构示意图；
图4是分析模块的具体结构示意图；
图5是本申请一实施例中计算机设备的结构示意图；
图6是本申请另一实施中车内噪音检测装置的结构示意图；
图7是本申请一实施例中麦克风阵列的结构示意图；
图8是本申请一实施例中超标噪音源的位置信息示意图。
本申请目的的实现、功能特点及优点将结合实施例，参照附图做进一步说明。
 本发明的最佳实施方式
应当理解，此处所描述的具体实施例仅仅用以解释本发明，并不用于限定本发明。
参照图1，本申请实施例提出一种车内噪音检测方法，包括：
S11,实时获取车辆行驶过程中车内的噪音信号，并检测噪音信号的噪音值，其中，噪音信号包括多个噪音类型的信号；
S12,判断噪音值是否符合预设状态标准；
若否，则执行S13,对噪音信号进行频谱分析，并根据频谱分析的分析结果和预存的噪音类型-频率值对应关系数据确定出噪音信号中音量超标的噪音类型。
在上述S11中, 具体地，可通过在车内安置内置麦克风阵列的车载智能音箱来实时获取车辆行驶过程中车内的噪音信号，并检测出噪音信号的噪音值，由于车载智能音箱几乎是所有汽车的标配，因此通过在车载智能音箱中内置麦克风阵列来实时检测车内的噪音情况，可节省不必要的硬件投入；具体地，考虑到在麦克风阵列中各麦克风之间存在一定的间隔，在同一瞬时各麦克风所测出的声压值可能差异，因此为了弥补这种差异，可通过计算多个麦克风所测出的声压值在同一个瞬时的算术平均值来作为实际的噪音值，例如，参照图9，所述的麦克风阵列是由五个麦克风组成的圆形麦克风阵列，在某一瞬时，麦克风MIC1、2、3、4、5所测出的声压值分别为60.5分贝、60.4分贝、61.6分贝、60.3分贝、60.7分贝，那么这五个麦克风在该瞬时所测出的声压值的算术平均值为60.5分贝；在本步骤中，本领域技术人员可以理解，除了采用内置麦克风阵列的车载智能音箱来检测车内的噪音大小外，还可以采用现有技术中的其它方式来检测车内的噪音大小，在此不赘述。
在上述S12中, 通过麦克风阵列的方式测出车辆行驶过程中车内的噪音值后，进一步判断噪音值是否符合预设状态标准，其中，预设状态标准的作用在于衡量车内的噪音大小是否超标，当判断出噪音值符合预设状态标准时，则表明车内的噪音大小处于正常水平，此时返回上述S11执行相关操作；而当判断出噪音值不符合预设状态标准时，则表明车内的噪音大小超出了正常水平，此时进入S13执行相关操作。
在上述S13中,当判断出车内的噪音大小超出了正常水平时，则进一步对获取到的噪音信号进行频谱分析，由于所采集到的噪音信号为多个噪音类型综合起来的声音信号，而且，不同的噪音类型（即不同类型的噪音），其频率值是不一样的,因此通过对噪音信号进行频谱分析，可分析出噪音信号在不同频率下所对应的噪音值，因此只要查找出超标的噪音值所对应的频率值，即可通过该频率值在预存的噪音类型-频率值对应关系数据中查找出对应的噪音类型，则与该频率值相对应的噪音类型即为音量超标的噪音类型。
本申请实施例的车内噪音检测方法通过实时对车辆行驶过程中车内的噪音情况进行检测，测出车内的噪音大小，然后判断车内的噪音大小是否符合预设状态标准，若不符合，则说明车内的噪音已超标，此时，通过进一步对车内噪音信号进行频谱分析，可分析出噪音信号在不同频率下所对应的噪音值，然后结合频谱分析的分析结果和预存的噪音类型-频率值对应关系数据进行分析即可确定出噪音信号中音量超标的噪音类型，从而实现在汽车行驶的过程中查找出音量超标的噪音类型，进而可便于针对音量超标的噪音类型进行相关的噪音消除工作。
在一个优选的实施例中，可通过以下方式判断噪音值是否符合预设状态标准：
S121,获取车辆的当前车速数据；S122,根据预存的车速-噪音对应关系数据，判断噪音值是否与当前车速数据相对应；
若否，则执行S123,判定噪音值不符合预设状态标准。
在上述S121中，由于车辆在行驶的过程中，车速不同，车内噪音的最大值和最小值也是不一样的，例如，在车辆怠速期间，车内的噪音主要是由发动机和车载空调产生的，风噪和轮噪的影响较小，而车辆以一定速度行驶期间，车内的噪音除了由发动机和车载空调所产生的以外，风噪和轮噪的影响也会较大（速度越快，影响越大），因此车辆怠速期间车内所产生的噪音值比车辆以一定速度行驶期间车内所产生的噪音值要小（车辆行驶的速度越快，噪音值相差越大），因此为了符合实际，提高判断的可靠性，不能简单地通过判断所测出的噪音值是否超出预设阀值的方式来衡量车内的噪音大小是否超标，还要考虑到车速的因素，具体地，可通过车辆自带的速度传感器实时获取车辆的当前车速数据，当获取到车辆的当前车速数据时，进入S122执行相关操作。
在上述S122中，具体地，可事先将通过实验而获得的车速-噪音对应关系数据存储于预设的数据库中，通过车速-噪音对应关系数据作为判断噪音值是否与当前车速数据相对应的依据，其中，车速与噪音的大小为一一对应的线性关系；若噪音值与当前车速数据相对应，则表明车内的噪音大小处于正常水平，此时返回上述S11执行相关操作；而若噪音值与当前车速数据不对应，则表明车内的噪音大小超出了正常水平，此时进入S123执行相关操作，具体地，例如，在预存的车速-噪音对应关系数据中，车辆怠速时所对应的噪音值为47.5分贝，车辆时速为60km/h时所对应的噪音值为62.5分贝，因此如果在车辆怠速期间所测出的噪音值为50分贝，此时则表明车内的噪音大小超出了正常水平，同理，如果在车辆以时速为60km/h行驶期间所测出的噪音值为60分贝，此时则表明车内的噪音大小处于正常水平。
在上述S123中, 当通过预存的车速-噪音对应关系数据判断出所测出的噪音值未与当前车速数据相对应时，则车载智能音箱可据此判定出噪音值不符合预设状态标准，此时可进入S13进行相关操作。
在一个优选的实施例中，对噪音信号进行频谱分析，并根据频谱分析的分析结果和预存的噪音类型-频率值对应关系数据确定出噪声信号中音量超标的噪音类型的步骤，包括：
S131, 获取噪音信号对应的噪音频谱图；S132,查找出噪音频谱图中声压值超出预设声压阈值所对应的一个或多个频率范围；
S133, 将噪音类型-频率值对应关系数据中的多个指定噪音类型对应的频率值分别与各个频率范围逐一进行对比，确定出与频率范围相匹配的一个或多个频率值；S134, 将相匹配的频率值所对应的噪音类型确定为音量超标的噪音类型。
在上述S131中，具体地，当判定出噪音值不符合预设状态标准时，通过对获取到的噪音信号进行离散傅里叶变换的数字信号处理，可获得与噪音信号相对应的噪音频谱图，其中，该噪音频谱图为“幅度频谱图”，即频谱图的横坐标为噪音的频率（单位为：HZ），纵坐标为噪音的声压值（单位为：dB）。
在上述S132中，由于所采集到的噪音信号为多个噪音类型综合起来的声音信号，而且，不同的噪音类型，其频率是不一样的，因此所得到的噪音频谱图实际上是一条毫无规律、起伏不断的连续曲线，通过对该噪音频谱图进行分析，可在该噪音频谱图中查找出声压值超出预设声压阈值所对应的一个或多个频率范围，例如，当前车辆处于时速为60km/h的匀速行驶状态，在预存的车速-噪音对应关系数据中，该车速所对应的噪音值为62.5分贝，则在对噪音频谱图进行分析时，只需在噪音频谱图中查找出声压值大于或等于62.5分贝所对应的频段（即频率范围）即可判断出该频段所对应的噪音类型超出了正常水平（即超标），其中，在噪音频谱图中，声压值超出预设声压阈值所对应的频段可能是一个，也可能是多个。
在上述S133中,噪音类型-频率值对应关系数据为噪音类型与频率值一一对应的关系映射表，该关系映射表中包含有多个指定噪音类型对应的频率值，其可事先通过实验而获得的，其中，多个指定噪音类型对应的频率值包括发动机噪音的频率值、空调噪音的值、风噪的频率值和轮噪的频率值，一般地，发动机噪音的频率范围为1000～10000HZ，空调噪音的频率范围为20～100HZ，风噪的频率范围为1500～5000HZ，轮噪的频率范围为500～800HZ，但由于发动机的噪音与发动机有关，空调的噪音与空调的制冷器有关，风噪与车型有关，轮噪与胎纹有关，因此要想准确得出发动机噪音、空调噪音、风噪、轮噪等噪音所对应的具体频率值，需要针对车型在实际中测量得出；在本步骤中，具体地，可事先将通过实验而获得的噪音类型-频率值对应关系数据存储于预设的数据库中，在通过噪音频谱图分析出声压值超出预设声压阈值所对应的一个或多个频段后，通过将噪音类型-频率值对应关系数据中的多个指定噪音类型对应的频率值分别与各个频段（即频率范围）逐一进行对比，可确定出与频率范围相匹配的一个或多个频率值，此时可进入S134执行相关操作。
在上述S134中, 具体地，例如，对于当前车辆而言，预存的发动机噪音的频率值为5000HZ、空调噪音的值为60HZ、风噪的频率值为3000HZ、轮噪的频率值为600HZ，通过噪音频谱图分析出频段为4800～5200HZ所对应的声压值超出了预设值，则通过将前述预存的四个频率值逐一与该频段进行对比，可得到发动机噪音的频率值落入了该频段内的对比结果（即确定出与频段为4800～5200HZ相匹配的频率值为5000HZ），从而可据此确定出音量超标的噪音类型为发动机噪音。
在一个可选的实施例中，判断噪音值是否符合预设状态标准的步骤之后，还包括：
S12a，若噪音值不符合预设状态标准，则对车内的噪音进行录音，生成对应的录音文件；S12b，将录音文件发送至指定设备上。
在本实施例中，当分析出噪音值不符合预设状态标准时，则表明车内的噪音大小超出了正常水平，此时可通过车载智能音箱对车内的噪音进行录音，生成对应的录音文件，并将生成的录音文件通过无线（如蓝牙、云端服务器等）或有线（如数据线等）的方式发送至指定设备（如用户的智能手机）上，这样用户通过查听指定设备所接收到的录音文件即可方便、及时地了解到车内的噪音情况，起到预警的作用，以便及时发现，及时进行相关的噪音消除工作。
在一个可选的实施例中，判断噪音值是否符合预设状态标准的步骤之前，还包括：
S11A，获取车辆的车型信息；S11B，根据车型信息，在预设数据库中查找出与车型信息相对应的车速-噪音对应关系数据。
在本实施例中，由于车型不同，车速所对应的噪音值也是不一样的，因此需要针对当前车辆的车型事先在预设数据库中存入相应的车速-噪音对应关系数据，即将车型信息与车速-噪音对应关系数据进行关联后存入至预设的数据库中，其中，该数据库可以存储于外部设备（如云端服务器），也可以存储于汽车系统本地中，具体地，汽车生产商一般都会在汽车系统上存放有该车辆所对应的车型信息，因此车载智能音箱可通过访问汽车系统本地的数据库来获取到当前车辆的车型信息，然后根据所获取到的车型信息在汽车系统本地或云端服务器的数据库中进行查找（预设数据库中存储有不同车型所对应的车速-噪音对应关系数据，特别是当数据库存储于云端服务器时），查找出与当前车辆的车型信息相对应的车速-噪音对应关系数据，以便后续根据车速-噪音对应关系数据进行相关操作，若车载智能音箱没有在汽车系统本地或云端服务器的数据库中查找到当前车辆所对应的车速-噪音对应关系数据，则可通过设置提醒来提醒用户存入对应的车速-噪音对应关系数据。
在一个优选的实施例中，对噪音信号进行谱分析，并根据频谱分析的分析结果和预存的噪音类型-频率值对应关系数据确定出噪音信号中音量超标的噪音类型的步骤之后，还包括：
S15，计算出与音量超标的噪音类型相对应的超标噪音源到达预设麦克风阵列中各个麦克风阵元的相对时延；S16，根据相对时延获取超标噪音源的位置信息；
S17，将超标噪音源的位置信息发送至指定设备上进行显示。
在上述S15中，由于车内的噪音是重复出现的，因此需要先确认噪音测量的时间起点，噪音测量的时间起点确认好后，通过车载智能音箱内置的麦克风阵列采集车内的噪音信号，由于所采集到的噪音信号为车内多个噪音类型综合起来的声音信号，而且，不同的噪音类型，其频率是不一样的，因此可根据噪音信号中的频率确定出前述实施例中已经确定出的音量超标的噪音类型，进而根据音量超标的噪音类型确定出对应的超标噪音源，然后在利用预设的时延估计算法进行相对时延的计算时，只需对超标噪音源到达预设麦克风阵列中各个麦克风阵元的相对时延进行计算即可，其余的噪音源无需处理，具体地，例如，超标噪音源为发动机噪音源，发动机噪音的频率值5000HZ，可通过预设的互相关时延估计算法（当然还可以采用其它时延估计算法，如自适应时延估计算法、相位谱时延估计算法等）计算出噪音信号中频率值为5000HZ的声音信号到达预设麦克风阵列中各个麦克风阵元的相对时延。
在上述S16中，具体地，计算出相对时延后，通过将相对时延代入到预设的几何公式（该几何公式为现有技术中公知的几何公式，对此不赘述）中即可算出超标噪音源到达各个麦克风阵元的距离差，然后结合阵列拓扑结构通过现有的几何算法即可计算出超标噪音源的方向，由于距离差和方向均已计算出，因此超标噪音源的具体位置也就确定下来了。
在上述S17中，通过车载智能音箱分析出超标噪音源的具体位置后，可通过无线（如蓝牙、云端服务器等）或有线（如数据线等）的方式将超标噪音源的具体位置信息发送至指定设备（如用户的智能手机）上进行显示，例如，参照图7和图8，可通过在用户的智能手机上安装一特定的应用（APP），启动APP后，智能手机即可通过云端服务器与车载智能音箱建立远程通信连接，具体地，在APP的应用界面上会有一个车载智能音箱麦克风阵列的圆形图及位置坐标，其与实际的麦克风阵列存在一一对应的关系，当APP接收到车载智能音箱发送的超标噪音源的位置信息后，可在APP上的圆形图中将该超标噪音源的位置显示出来，举例而言，比如超标噪音源为发动机噪音源，则在APP上的圆形图中会显示出发动机噪音源的具体位置信息，如图10所示，发动机噪音源A位于参考坐标系的西北方向，与麦克风MIC1的角度为40度、距离为1.36米（图中未示意出），这样可让用户不仅能够了解到是何种类型的噪音超标了，而且还可以确切知道超标噪音源在车内的具体位置，从而方便用户在车内快速找到超标噪音源的具体部位进行相关噪音消除工作。
在本实施例中，在确定出音量超标的噪音类型后，通过采用基于麦克风阵列的声达时间差(TDOA)的声源定位技术来确定出超标噪音源的具体位置并发送至指定设备上进行显示，使得用户可方便、快速地找到超标噪音源的具体部位进行相关噪音消除工作，极大地提高了用户的使用体验。
参照图2，本申请实施例还提出一种车内噪音检测装置，包括：
检测模块1，用于实时获取车辆行驶过程中车内的噪音信号，并检测噪音信号的噪音值，其中，噪音信号包括多个噪音类型的信号；
判断模块2，用于判断噪音值是否符合预设状态标准；
分析模块3，用于当噪音值不符合预设状态标准时，对噪音信号进行频谱分析，并根据频谱分析的分析结果和预存的噪音类型-频率值对应关系数据确定出噪音信号中音量超标的噪音类型。
在上述检测模块1中, 具体地，检测模块1可通过内置麦克风阵列的车载智能音箱来实时获取车辆行驶过程中车内的噪音信号，并检测出噪音信号的噪音值，由于车载智能音箱几乎是所有汽车的标配，因此通过在车载智能音箱中内置麦克风阵列来实时检测车内的噪音情况，可节省不必要的硬件投入；具体地，考虑到在麦克风阵列中各麦克风之间存在一定的间隔，在同一瞬时各麦克风所测出的声压值可能差异，因此为了弥补这种差异，可通过计算多个麦克风所测出的声压值在同一个瞬时的算术平均值来作为实际的噪音值，例如，参照图9，所述的麦克风阵列是由五个麦克风组成的圆形麦克风阵列，在某一瞬时，麦克风MIC1、2、3、4、5所测出的声压值分别为60.5分贝、60.4分贝、61.6分贝、60.3分贝、60.7分贝，那么这五个麦克风在该瞬时所测出的声压值的算术平均值为60.5分贝；在本步骤中，本领域技术人员可以理解，除了采用内置麦克风阵列的车载智能音箱来检测车内的噪音大小外，还可以采用现有技术中的其它方式来检测车内的噪音大小，在此不赘述。
在上述判断模块2中, 当检测模块1通过麦克风阵列的方式测出车辆行驶过程中车内的噪音值后，则进一步通过判断模块2判断噪音值是否符合预设状态标准，其中，预设状态标准的作用在于衡量车内的噪音大小是否超标，当判断模块2判断出噪音值符合预设状态标准时，则表明车内的噪音大小处于正常水平，此时交由检测模块1执行相关操作；而当判断模块2判断出噪音值不符合预设状态标准时，则表明车内的噪音大小超出了正常水平，此时交由分析模块3执行相关操作。
在上述分析模块3中,当判断模块2判断出车内的噪音大小超出了正常水平时，则通过分析模块3进一步对获取到的噪音信号进行频谱分析，由于所采集到的噪音信号为多个噪音类型综合起来的声音信号，而且，不同的噪音类型（即不同类型的噪音），其频率值是不一样的,因此通过分析模块3对噪音信号进行频谱分析，可分析出噪音信号在不同频率下所对应的噪音值，因此只要查找出超标的噪音值所对应的频率值，即可通过该频率值在预存的噪音类型-频率值对应关系数据中查找出对应的噪音类型，则与该频率值相对应的噪音类型即为音量超标的噪音类型。
本申请实施例的车内噪音检测装置通过实时对车辆行驶过程中车内的噪音情况进行检测，测出车内的噪音大小，然后判断车内的噪音大小是否符合预设状态标准，若不符合，则说明车内的噪音已超标，此时，通过进一步对车内噪音信号进行频谱分析，可分析出噪音信号在不同频率下所对应的噪音值，然后结合频谱分析的分析结果和预存的噪音类型-频率值对应关系数据进行分析即可确定出噪音信号中音量超标的噪音类型，从而实现在汽车行驶的过程中查找出音量超标的噪音类型，进而可便于针对音量超标的噪音类型进行相关的噪音消除工作。
参照图3，所述判断模块2包括：
获取单元21，用于获取车辆的当前车速数据；
判断单元22，用于根据预存的车速-噪音对应关系数据，判断噪音值是否与当前车速数据相对应；
判定单元23，用于当噪音值未与当前车速数据相对应时，判定噪音值不符合预设状态标准。
在上述获取单元21中，由于车辆在行驶的过程中，车速不同，车内噪音的最大值和最小值也是不一样的，例如，在车辆怠速期间，车内的噪音主要是由发动机和车载空调产生的，风噪和轮噪的影响较小，而车辆以一定速度行驶期间，车内的噪音除了由发动机和车载空调所产生的以外，风噪和轮噪的影响也会较大（速度越快，影响越大），因此车辆怠速期间车内所产生的噪音值比车辆以一定速度行驶期间车内所产生的噪音值要小（车辆行驶的速度越快，噪音值相差越大），因此为了符合实际，提高判断的可靠性，不能简单地通过判断所测出的噪音值是否超出预设阀值的方式来衡量车内的噪音大小是否超标，还要考虑到车速的因素，具体地，获取单元21可通过车辆自带的速度传感器实时获取车辆的当前车速数据，当获取到车辆的当前车速数据时，交由判断单元22执行相关操作。
在上述判断单元22中，具体地，可事先将通过实验而获得的车速-噪音对应关系数据存储于预设的数据库中，通过车速-噪音对应关系数据作为判断噪音值是否与当前车速数据相对应的依据，其中，车速与噪音的大小为一一对应的线性关系；若通过判断单元22判断出噪音值与当前车速数据相对应，则表明车内的噪音大小处于正常水平，此时交由获取单元21执行相关操作；而若通过判断单元22判断出噪音值与当前车速数据不对应，则表明车内的噪音大小超出了正常水平，此时交由判定单元23执行相关操作，具体地，例如，在预存的车速-噪音对应关系数据中，车辆怠速时所对应的噪音值为47.5分贝，车辆时速为60km/h时所对应的噪音值为62.5分贝，因此如果在车辆怠速期间所测出的噪音值为50分贝，此时则表明车内的噪音大小超出了正常水平，同理，如果在车辆以时速为60km/h行驶期间所测出的噪音值为60分贝，此时则表明车内的噪音大小处于正常水平。
在上述判定单元23中, 当判断单元22通过预存的车速-噪音对应关系数据判断出所测出的噪音值未与当前车速数据相对应时，则判定单元23可据此判定出噪音值不符合预设状态标准，此时可交由分析模块3进行相关操作。
参照图4，分析模块3包括：
信号处理单元31，用于获取噪音信号对应的噪音频谱图；
查找单元32，用于查找出噪音频谱图中声压值超出预设声压阈值所对应的一个或多个频率范围；
对比单元33，用于将预存的噪音类型-频率值对应关系数据中的多个指定噪音类型对应的频率值分别与各个频率范围逐一进行对比，确定出与频率范围相匹配的一个或多个频率值；
确定单元34，用于将相匹配的频率值所对应的噪音类型确定为音量超标的噪音类型。
在上述信号处理单元31中，具体地，当通过判定单元23判定出噪音值不符合预设状态标准时，可通过信号处理单元31对获取到的噪音信号进行离散傅里叶变换的数字信号处理，可获得与噪音信号相对应的噪音频谱图，其中，该噪音频谱图为“幅度频谱图”，即频谱图的横坐标为噪音的频率（单位为：HZ），纵坐标为噪音的声压值（单位为：dB）。
在上述查找单元32中，由于所采集到的噪音信号为多个噪音类型综合起来的声音信号，而且，不同的噪音类型，其频率是不一样的，因此所得到的噪音频谱图实际上是一条毫无规律、起伏不断的连续曲线，通过查找单元32对该噪音频谱图进行分析，可在该噪音频谱图中查找出声压值超出预设值所对应的一个或多个频率范围，例如，当前车辆处于时速为60km/h的匀速行驶状态，在预存的车速-噪音对应关系数据中，该车速所对应的噪音值为62.5分贝，则在对噪音频谱图进行分析时，只需在噪音频谱图中查找出声压值大于或等于62.5分贝所对应的频段（即频率范围）即可判断出该频段所对应的噪音类型超出了正常水平（即超标），其中，在噪音频谱图中，声压值超出预设值所对应的频段可能是一个，也可能是多个。
在上述对比单元33中, 噪音类型-频率值对应关系数据为噪音类型与频率值一一对应的关系映射表，该关系映射表中包含有多个指定噪音类型对应的频率值，其可事先通过实验而获得的，其中，多个指定噪音类型对应的频率值包括发动机噪音的频率值、空调噪音的频率值、风噪的频率值和轮噪的频率值，一般地，发动机噪音的频率范围为1000～10000HZ，空调噪音的频率范围为20～100HZ，风噪的频率范围为1500～5000HZ，轮噪的频率范围为500～800HZ，但由于发动机的噪音与发动机有关，空调的噪音与空调的制冷器有关，风噪与车型有关，轮噪与胎纹有关，因此要想准确得出发动机噪音、空调噪音、风噪、轮噪等噪音所对应的具体频率值，需要针对车型在实际中测量得出；在本步骤中，具体地，可事先将通过实验而获得的噪音类型-频率值对应关系数据存储于预设的数据库中，在通过噪音频谱图分析出声压值超出预设声压阈值所对应的一个或多个频段后，通过对比单元33将噪音类型-频率值对应关系数据中的多个指定噪音类型对应的频率值分别与各个频段（即频率范围）逐一进行对比，可确定出与频率范围相匹配的一个或多个频率值，此时可交由确定单元34执行相关操作。
在上述确定单元34中, 具体地，例如，对于当前车辆而言，预存的发动机噪音的频率值为5000HZ、空调噪音的值为60HZ、风噪的频率值为3000HZ、轮噪的频率值为600HZ，通过噪音频谱图分析出频段为4800～5200HZ所对应的声压值超出了预设值，则通过对比单元33将前述预存的四个频率值逐一与该频段进行对比，可得到发动机噪音的频率值落入了该频段内的对比结果（即与频段为4800～5200HZ相匹配的频率值为5000HZ），从而确定单元34可据此确定出音量超标的噪音类型为发动机噪音。
参照图6，本申请实施例的车内噪音检测装置还包括：
录音模块4，用于当噪音值不符合预设状态标准时，对车内的噪音进行录音，生成对应的录音文件；
第一发送模块5，用于将录音文件发送至指定设备上。
在本实施例中，当通过判断模块2分析出噪音值不符合预设状态标准时，则表明车内的噪音大小超出了正常水平，此时可通过录音模块4对车内的噪音进行录音，生成对应的录音文件，并将生成的录音文件通过第一发送模块5以无线（如蓝牙、云端服务器等）或有线（如数据线等）的方式发送至指定设备（如用户的智能手机）上，这样用户通过查听指定设备所接收到的录音文件即可方便、及时地了解到车内的噪音情况，起到预警的作用，以便及时发现，及时进行相关的噪音消除工作。
参照图6，本申请实施例的车内噪音检测装置还包括：
第一获取模块6，用于获取车辆的车型信息；查找模块7，用于根据车型信息，在预设数据库中查找出与车型信息相对应的车速-噪音对应关系数据。
在本实施例中，由于车型不同，车速所对应的噪音值也是不一样的，因此需要针对当前车辆的车型事先在预设数据库中存入相应的车速-噪音对应关系数据，即将车型信息与车速-噪音对应关系数据进行关联后存入至预设的数据库中，其中，该数据库可以存储于外部设备（如云端服务器），也可以存储于汽车系统本地中，具体地，汽车生产商一般都会在汽车系统上存放有该车辆所对应的车型信息，因此第一获取模块6可通过访问汽车系统本地的数据库来获取到当前车辆的车型信息，然后根据所获取到的车型信息通过查找模块7在汽车系统本地或云端服务器的数据库中进行查找（预设数据库中存储有不同车型所对应的车速-噪音对应关系数据，特别是当数据库存储于云端服务器时），查找出与当前车辆的车型信息相对应的车速-噪音对应关系数据，以便后续根据车速-噪音对应关系数据进行相关操作，若查找模块7没有在汽车系统本地或云端服务器的数据库中查找到当前车辆所对应的车速-噪音对应关系数据，则可通过设置提醒来提醒用户存入对应的车速-噪音对应关系数据。
参照图6，本申请实施例的车内噪音检测装置还包括：
计算模块8，用于计算出与音量超标的噪音类型相对应的超标噪音源到达预设麦克风阵列中各个麦克风阵元的相对时延；
第二获取模块9，用于根据相对时延获取超标噪音源的位置信息；
第二发送模块10，用于将超标噪音源的位置信息发送至指定设备上进行显示。
在上述计算模块8中，由于车内的噪音是重复出现的，因此需要先确认噪音测量的时间起点，噪音测量的时间起点确认好后，检测模块1可通过车载智能音箱内置的麦克风阵列采集车内的噪音信号，由于所采集到的噪音信号为车内多个噪音类型综合起来的声音信号，而且，不同的噪音类型，其频率是不一样的，因此可根据噪音信号中的频率确定出前述实施例中已经确定出的音量超标的噪音类型，进而根据音量超标的噪音类型确定出对应的超标噪音源，然后在利用预设的时延估计算法进行相对时延的计算时，只需通过计算模块8对超标噪音源到达预设麦克风阵列中各个麦克风阵元的相对时延进行计算即可，其余的噪音源无需处理，具体地，例如，超标噪音源为发动机噪音源，发动机噪音的频率值5000HZ，计算模块8可通过预设的互相关时延估计算法（当然还可以采用其它时延估计算法，如自适应时延估计算法、相位谱时延估计算法等）估算出噪音信号中频率值为5000HZ的声音信号到达预设麦克风阵列中各个麦克风阵元的相对时延。
在上第二获取模块9中，具体地，通过计算模块8计算出相对时延后，通过第二获取模块9将相对时延代入到预设的几何公式（该几何公式为现有技术中公知的几何公式，对此不赘述）中即可算出超标噪音源到达各个麦克风阵元的距离差，然后结合阵列拓扑结构通过现有的几何算法即可计算出超标噪音源的方向，由于距离差和方向均已计算出，因此超标噪音源的具体位置也就确定下来了。
在上述第二发送模块10中，通过第二获取模块9分析出超标噪音源的具体位置后，可通过第二发送模块10以无线（如蓝牙、云端服务器等）或有线（如数据线等）的方式将超标噪音源的具体位置信息发送至指定设备（如用户的智能手机）上进行显示，例如，参照图7和图8，可通过在用户的智能手机上安装一特定的应用（APP），启动APP后，智能手机即可通过云端服务器与车载智能音箱建立远程通信连接，具体地，在APP的应用界面上会有一个车载智能音箱麦克风阵列的圆形图及位置坐标，其与实际的麦克风阵列存在一一对应的关系，当APP接收到车载智能音箱发送的超标噪音源的位置信息后，可在APP上的圆形图中将该超标噪音源的位置显示出来，举例而言，比如超标噪音源为发动机噪音源，则在APP上的圆形图中会显示出发动机噪音源的具体位置信息，如图10所示，发动机噪音源A位于参考坐标系的西北方向，与麦克风MIC1的角度为40度、距离为1.36米（图中未示意出），这样可让用户不仅能够了解到是何种类型的噪音超标了，而且还可以确切知道超标噪音源在车内的具体位置，从而方便用户在车内快速找到超标噪音源的具体部位进行相关噪音消除工作。
在本实施例中，在确定出音量超标的噪音类型后，通过采用基于麦克风阵列的声达时间差(TDOA)的声源定位技术来确定出超标噪音源的具体位置并发送至指定设备上进行显示，使得用户可方便、快速地找到超标噪音源的具体部位进行相关噪音消除工作，极大地提高了用户的使用体验。
参照图5，本申请实施例还提出一种计算机设备100，包括存储器200、处理器300以及存储在存储器200上并可在处理器300上运行的计算机程序400，处理器300执行计算机程序400时实现上述任一实施中的车内噪音检测方法。
本领域技术人员可以理解，本发明实施例所述的计算机设备100为上述所涉及用于执行本申请中所述方法中的一项或多项的设备。这些设备可以为所需的目的而专门设计和制造，或者也可以包括通用计算机中的已知设备。这些设备具有存储在其内的计算机程序400或应用程序，这些计算机程序400选择性地激活或重构。这样的计算机程序400可以被存储在设备（例如，计算机）可读介质中或者存储在适于存储电子指令并分别耦联到总线的任何类型的介质中，所述计算机可读介质包括但不限于任何类型的盘（包括软盘、硬盘、光盘、CD-ROM、和磁光盘）、ROM（Read-Only Memory，只读存储器）、RAM（Random Access Memory，随机存储器）、EPROM（Erasable Programmable Read-Only Memory，可擦写可编程只读存储器）、EEPROM（Electrically Erasable Programmable Read-Only Memory，电可擦可编程只读存储器）、闪存、磁性卡片或光线卡片。也就是，可读介质包括由设备（例如，计算机）以能够读的形式存储或传输信息的任何介质。
以上所述仅为本申请的优选实施例，并非因此限制本申请的专利范围，凡是利用本申请说明书及附图内容所作的等效结构或等效流程变换，或直接或间接运用在其他相关的技术领域，均同理包括在本申请的专利保护范围内。

Claims (15)

  1. 一种车内噪音检测方法，其特征在于，包括：
    实时获取车辆行驶过程中车内的噪音信号，并检测所述噪音信号的噪音值，其中，所述噪音信号包括多个噪音类型的信号；
    判断所述噪音值是否符合预设状态标准；
    若否，则对所述噪音信号进行频谱分析，并根据所述频谱分析的分析结果和预存的噪音类型-频率值对应关系数据确定出所述噪音信号中音量超标的所述噪音类型。
  2. 根据权利要求1所述的车内噪音检测方法，其特征在于，所述判断所述噪音值是否符合预设状态标准的步骤，包括：
    获取所述车辆的当前车速数据；
    根据预存的车速-噪音对应关系数据，判断所述噪音值是否与所述当前车速数据相对应；
    若否，则判定所述噪音值不符合所述预设状态标准。
  3. 根据权利要求1所述的车内噪音检测方法，其特征在于，所述对所述噪音信号进行频谱分析，并根据所述频谱分析的分析结果和预存的噪音类型-频率值对应关系数据确定出所述噪音信号中音量超标的所述噪音类型的步骤，包括：
    获取所述噪音信号对应的噪音频谱图；
    查找出所述噪音频谱图中声压值超出预设声压阈值所对应的一个或多个频率范围；
    将所述噪音类型-频率值对应关系数据中的多个指定噪音类型对应的频率值分别与各个所述频率范围逐一进行对比，确定出与所述频率范围相匹配的一个或多个所述频率值；
    将相匹配的所述频率值所对应的噪音类型确定为音量超标的所述噪音类型。
  4. 根据权利要求3所述的车内噪音检测方法，其特征在于，多个所述指定噪音类型对应的频率值包括发动机噪音的频率值、空调噪音的频率值、风噪的频率值和轮噪的频率值。
  5. 根据权利要求2所述的车内噪音检测方法，其特征在于，所述判断所述噪音值是否符合预设状态标准的步骤之前，还包括：
    获取所述车辆的车型信息；
    根据所述车型信息，在预设数据库中查找出与所述车型信息相对应的所述车速-噪音对应关系数据。
  6. 根据权利要求1至5任一项所述的车内噪音检测方法，其特征在于，所述对所述噪音信号进行频谱分析，并根据所述频谱分析的分析结果和预存的噪音类型-频率值对应关系数据确定出所述噪音信号中音量超标的所述噪音类型的步骤之后，还包括：
    计算出与音量超标的所述噪音类型相对应的超标噪音源到达预设麦克风阵列中各个麦克风阵元的相对时延；
    根据所述相对时延获取所述超标噪音源的位置信息；
    将所述超标噪音源的位置信息发送至指定设备上进行显示。
  7. 根据权利要求6所述的车内噪音检测方法，其特征在于，所述判断所述噪音值是否符合预设状态标准的步骤之后，还包括：
    若所述噪音值不符合预设状态标准，则对车内的噪音进行录音，生成对应的录音文件；
    将所述录音文件发送至所述指定设备上。
  8. 一种车内噪音检测装置，其特征在于，包括：
    检测模块，用于实时获取车辆行驶过程中车内的噪音信号，并检测所述噪音信号的噪音值，其中，噪音信号包括多个噪音类型的信号；
    判断模块，用于判断所述噪音值是否符合预设状态标准；
    分析模块，用于当所述噪音值不符合预设状态标准时，对所述噪音信号进行频谱分析，并根据所述频谱分析的分析结果和预存的噪音类型-频率值对应关系数据确定出所述噪音信号中音量超标的所述噪音类型。
  9. 根据权利要求8所述的车内噪音检测装置，其特征在于，所述判断模块包括：
    获取单元，用于获取所述车辆的当前车速数据；
    判断单元，用于根据预存的车速-噪音对应关系数据，判断所述噪音值是否与所述当前车速数据相对应；
    判定单元，用于当所述噪音值未与所述当前车速数据相对应时，判定噪音值不符合预设状态标准。
  10. 根据权利要求8所述的车内噪音检测装置，其特征在于，所述分析模块包括：
    信号处理单元，用于获取所述噪音信号对应的噪音频谱图；
    查找单元，用于查找出所述噪音频谱图中声压值超出预设声压阈值所对应的一个或多个频率范围；
    对比单元，用于将所述噪音类型-频率值对应关系数据中的多个指定噪音类型对应的频率值分别与各个所述频率范围逐一进行对比，确定出与所述频率范围相匹配的一个或多个所述频率值；
    确定单元，用于将相匹配的所述频率值所对应的噪音类型确定为音量超标的所述噪音类型。
  11. 根据权利要求10所述的车内噪音检测装置，其特征在于，多个所述指定噪音类型对应的频率值包括发动机噪音的频率值、空调噪音的频率值、风噪的频率值和轮噪的频率值。
  12. 根据权利要求9所述的车内噪音检测装置，其特征在于，还包括：
    第一获取模块，用于获取所述车辆的车型信息；
    查找模块，用于根据所述车型信息，在预设数据库中查找出与所述车型信息相对应的所述车速-噪音对应关系数据。
  13. 根据权利要求8至12任一项所述的车内噪音检测装置，其特征在于，还包括：
    计算模块，用于计算出与音量超标的噪音类型相对应的超标噪音源到达预设麦克风阵列中各个麦克风阵元的相对时延；
    第二获取模块，用于根据所述相对时延获取所述超标噪音源的位置信息；
    第二发送模块，用于将所述超标噪音源的位置信息发送至指定设备上进行显示。
  14. 根据权利要求13所述的车内噪音检测装置，其特征在于，还包括：
    录音模块，用于当所述噪音值不符合预设状态标准时，对车内的噪音进行录音，生成对应的录音文件；
    第一发送模块，用于将所述录音文件发送至所述指定设备上。
  15. 一种计算机设备，其特征在于，包括存储器、处理器以及存储在所述存储器上并可在所述处理器上运行的计算机程序，所述处理器执行所述计算机程序时实现如权利要求1至7任一项所述的车内噪音检测方法。
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