A motorcycle noise detection positioning method

Abstract

The application discloses a motorcycle noise detection and positioning method, comprising the following steps: 1, setting up a microphone array frame; 2, installing a motorcycle to be detected and collecting images; 3, detecting and screening noise signals of the motorcycle to be detected; and 4, positioning the noise of the motorcycle to be detected. The method is simple in steps and reasonable in design, can detect, screen and position noise signals of the motorcycle to be detected, and can display noise positions on a motorcycle test image, so that the noise positions can be intuitively observed, and thus a basis for motorcycle quality guarantee is provided.

Description

Technical Field

[0001] This invention belongs to the field of motorcycle noise technology, specifically relating to a method for detecting and locating motorcycle noise. Background Technology

[0002] Motorcycles, as a highly mobile and flexible means of transportation, have brought great convenience to people's lives. Their small size, light weight, and maneuverability have led to their widespread use. With increasingly stringent noise standards for motorcycles, noise testing is required before they leave the factory. Motorcycle noise originates from engine vibration, intake noise, and exhaust noise. At low speeds, engine vibration and exhaust noise are dominant, primarily due to the high torque transmitted by the engine, which exerts significant excitation on the vehicle body. As speed increases, the noise distribution changes.

[0003] Therefore, there is an urgent need for a method for detecting and locating noise in motorcycle parts, so as to provide a basis for motorcycle quality assurance. Summary of the Invention

[0004] The technical problem to be solved by the present invention is to provide a method for detecting and locating motorcycle noise, which addresses the shortcomings of the prior art. The method is simple in steps and reasonable in design. It detects, filters and locates the noise signal of the motorcycle under test, and displays the noise location on the motorcycle test image for easy and intuitive viewing, thereby providing a basis for motorcycle quality assurance.

[0005] To solve the above-mentioned technical problems, the technical solution adopted by the present invention is: a method for detecting and locating motorcycle noise, characterized in that the method includes the following steps:

[0006] Step 1: Setting up the microphone array rack:

[0007] Step 101: Install multiple crossbars along the height direction on the T-shaped bracket;

[0008] Step 102: Set multiple microphones on the crossbar to form a microphone array; wherein the microphones are mounted on the crossbar by sliding mounts, and the horizontal spacing between two adjacent microphones is the same, and the vertical spacing between two adjacent microphones is the same;

[0009] Step 2: Installation and image acquisition of the motorcycle under test:

[0010] Step 201: Use a camera to acquire images of the microphone array, and use a computer to process the images of the microphone array to obtain the position coordinates of the microphone array;

[0011] Step 202: Set up a test frame in front of the microphone array and install the motorcycle under test on the test frame; wherein, the wheels of the motorcycle under test are suspended in the air and the microphone's acquisition surface is facing the motorcycle under test.

[0012] Step 203: Use the camera in front of the motorcycle under test to take pictures and process the images of the motorcycle and the microphone array to obtain a test image of the motorcycle.

[0013] Step 3: Detection and screening of noise signals from the motorcycle under test:

[0014] Step 301: Simulate driving the motorcycle under test;

[0015] Step 302: During the fixed simulated driving process of the motorcycle under test, the i-th microphone detects the noise of the motorcycle under test, and sends the detected i-th initial voltage signal to the computer after pre-amplification and filtering to obtain the i-th voltage signal.

[0016] Step 303: Use a computer to process the i-th voltage signal using a matched filter to obtain the time delay value τ of the i-th voltage signal. i ;

[0017] Step 304: Use a computer to process the time delay values ​​τ1, ..., τi of the first voltage signal. i The time delay τ of the nth voltage signal, ... n Sort by size from smallest to largest, before filtering. The voltage signal corresponding to each delay value τ1 is denoted as the voltage signal to be processed; where [·] represents rounding down; where i is a positive integer, and 1≤i≤N, and N is the total number of microphones;

[0018] Step 305: Record each voltage signal to be processed as the s1th voltage signal to be processed, ..., the s1st voltage signal to be processed. j The voltage signal to be processed, ..., the sth... m There are 1 voltage signal to be processed; where s1 ≤ s j ≤s m And s1, s j and s m All are positive integers and their values ​​are all between 1 and N;

[0019] Step 4: Locating the noise level of the motorcycle to be tested:

[0020] Step 401: Use a computer to apply a filter to the s-th... j The voltage signal to be processed and the sth q The voltage signal to be processed is filtered to obtain the s-th voltage signal. j The filtered voltage signal and the s-thq There are several filtered voltage signals; where s1 ≤ s q ≤s m , and s q ≠s j ;

[0021] Step 402: Use a computer to perform cross-correlation function analysis on the s-th... j The voltage signal to be processed and the sth q The voltage signals to be processed are subjected to cross-correlation function processing to obtain the time delay value τ when the cross-correlation value is maximized. j,q and τ j,q denoted as the sth j The voltage signal to be processed and the sth q The time delay value between the voltage signals to be processed;

[0022] Step 403: Obtain the sth digit from step 201 j The location coordinates of each microphone in, Indicates the sth j The X, Y, and Z coordinates of each microphone;

[0023] Step 404: Using a computer, the location coordinates of a noise source are obtained based on the position coordinates of any three microphones and the time delay between one voltage signal to be processed and another voltage signal to be processed corresponding to those three microphones. in, Represents the X, Y, and Z axis coordinates of a noise emission;

[0024] Step 405: Repeat step 304 multiple times to obtain the location coordinates of multiple noise sources;

[0025] Step 406: Display the noise locations on the motorcycle test image based on the coordinates of the multiple noise sources.

[0026] The above-mentioned method for detecting and locating motorcycle noise is characterized in that: in step 403, the s-th noise level is obtained from step 201. j The location coordinates of each microphone The specific process is as follows:

[0027] Step 4031: Establish a spatial rectangular coordinate system: The origin O is the center of the bottom surface of the T-shaped support. The OX axis is along the length of the bottom surface of the T-shaped support, the OZ axis is along the height of the T-shaped support and points upwards, and the OY axis is perpendicular to the OXZ plane formed by the OX axis and the OZ axis and points backwards.

[0028] Step 4032: Mark the microphones in order from top to bottom and left to right to obtain their spatial positions;

[0029] Step 4033: Obtain the s-th microphone from its spatial location. j The location coordinates of each microphone in, Indicates the sth j The X, Y, and Z coordinates of each microphone.

[0030] The above-mentioned method for detecting and locating motorcycle noise is characterized in that: in step 201, a camera is used to acquire an image of the microphone array, and a computer is used to process the image of the microphone array to obtain the position coordinates of the microphone array. The specific process is as follows:

[0031] Step 2011: Use a camera to capture images of the microphone array, obtain the initial image of the microphone array, and send it to the computer;

[0032] Step 2012: Use a computer to retrieve the distortion correction module to perform distortion correction on the initial image of the microphone array, and obtain the distortion-corrected initial image of the microphone array.

[0033] Step 2013: The computer retrieves the cropping module to crop the initial image of the microphone array after distortion correction, and obtains the cropped microphone image; wherein, the left and right edges of the cropped microphone image are the edges of the horizontal bar, the top edge of the cropped motorcycle test image is the top edge of the T-shaped bracket, and the bottom edge of the cropped motorcycle test image is the bottom edge of the T-shaped bracket.

[0034] Step 2014: Mark the center points of the microphones on the cropped microphone image in order from top to bottom and from left to right, obtain the pixel coordinates of the center point of the i-th microphone, and mark the pixel coordinates of the center point of the i-th microphone as the pixel position of the i-th microphone; where i is a positive integer, and 1≤i≤N, and N is the total number of microphones;

[0035] Step 2015: The computer uses Zhang's calibration method to obtain the spatial position of the i-th microphone through the pixel position of the i-th microphone;

[0036] Step 2016: Repeat step 2015 multiple times to obtain the position coordinates of the microphone array.

[0037] The above-mentioned method for detecting and locating motorcycle noise is characterized in that: in step 203, the camera is used in front of the motorcycle under test to capture and process images of the motorcycle and the microphone array to obtain a test image of the motorcycle. The specific process is as follows:

[0038] Step 2031: Use the camera to take pictures of the motorcycle under test and the microphone array, obtain the initial image of the motorcycle under test, and send it to the computer;

[0039] Step 2032: Use a computer to retrieve the distortion correction module to perform distortion correction on the initial image of the motorcycle under test, and obtain the distortion-corrected image of the motorcycle under test.

[0040] Step 2033: Use a computer to retrieve and crop the distortion-corrected image of the motorcycle under test, and obtain the cropped motorcycle test image. The cropped microphone image and the cropped motorcycle test image are the same size. The left and right edges of the cropped motorcycle test image are the edges of the horizontal bar, the top edge of the cropped motorcycle test image is the top edge of the T-shaped bracket, and the bottom edge of the cropped motorcycle test image is the bottom edge of the T-shaped bracket.

[0041] The above-mentioned method for detecting and locating motorcycle noise is characterized in that: in step 406, the noise location is displayed on the motorcycle test image based on the location coordinates of multiple noise sources. The specific process is as follows:

[0042] Step 4071: Using a computer and Zhang's calibration method, obtain the pixel coordinates of each noise source by using the position coordinates of multiple noise sources; wherein, the number of pixel coordinates of each noise source is Q.

[0043] Step 4072: Using a computer, the k-means clustering algorithm is used to cluster the pixel coordinates of each noise source to obtain the position of the center pixel after clustering.

[0044] Step 4073: Use a computer to obtain the pixel distance between the pixel coordinates of each noise source and the pixel position of the clustered center point, and sort the pixel distances in ascending order, placing the first pixel in the sorted order... The pixel coordinates are marked as the coordinates of the pixel to be marked; where [·] indicates rounding down;

[0045] Step 4074: Using a computer, assign blue pixel values ​​to the coordinates of the pixels to be marked on the motorcycle test image, and assign red pixel values ​​to the internal pixels of the connected region enclosed by the coordinates of the pixels to be marked.

[0046] Compared with the prior art, the present invention has the following advantages:

[0047] 1. The method of the present invention has simple steps and reasonable design, and solves the current problem of noise detection and localization in motorcycle parts.

[0048] 2. The present invention processes the microphone array image to obtain the position coordinates of the microphone array; the camera is used in front of the motorcycle under test to take pictures and process the motorcycle under test and the microphone array to obtain a motorcycle test image, which is convenient for displaying the noise position on the motorcycle test image later.

[0049] 3. The present invention first involves the construction of a microphone array frame, followed by the installation of the motorcycle under test and image acquisition; secondly, the detection and screening of noise signals from the motorcycle under test; and finally, the localization of the noise from the motorcycle under test.

[0050] 4. The present invention first uses a matched filter to filter the time delay value of the i-th voltage signal to obtain the voltage signal to be processed. Then, the cross-correlation function method and spatial distance are used to obtain the location coordinates of the noise emission. Finally, the noise location is displayed on the motorcycle test image based on the location coordinates of multiple noise emissions.

[0051] In summary, the method of the present invention is simple in steps and reasonable in design. It detects, filters and locates the noise signal of the motorcycle under test, and displays the noise location on the motorcycle test image, which is convenient for intuitive viewing and thus provides a basis for motorcycle quality assurance.

[0052] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0053] Figure 1 This is a schematic diagram of the structure of the present invention.

[0054] Figure 2 This is a flowchart of the method of the present invention. Detailed Implementation

[0055] like Figure 1 As shown, the present invention provides a method for detecting and locating motorcycle noise, comprising the following steps:

[0056] Step 1: Setting up the microphone array rack:

[0057] Step 101: Install multiple crossbars 5 along the height direction on the T-shaped bracket 4;

[0058] Step 102: Set multiple microphones 2 on the crossbar 5 to form a microphone array; wherein, the microphones 2 are mounted on the crossbar 5 by sliding seats 3, and the horizontal spacing between two adjacent microphones 2 is the same, and the vertical spacing between two adjacent microphones 2 is the same;

[0059] Step 2: Installation and image acquisition of the motorcycle under test:

[0060] Step 201: Use a camera to acquire images of the microphone array, and use a computer to process the images of the microphone array to obtain the position coordinates of the microphone array;

[0061] Step 202: Set up a test frame in front of the microphone array and install the motorcycle under test on the test frame; wherein, the wheels of the motorcycle under test are suspended in the air and the acquisition surface of the microphone 2 is facing the motorcycle under test.

[0062] Step 203: Use the camera in front of the motorcycle under test to take pictures and process the images of the motorcycle and the microphone array to obtain a test image of the motorcycle.

[0063] Step 3: Detection and screening of noise signals from the motorcycle under test:

[0064] Step 301: Simulate driving the motorcycle under test;

[0065] Step 302: During the fixed simulated driving process of the motorcycle under test, the i-th microphone detects the noise of the motorcycle under test, and sends the detected i-th initial voltage signal to the computer after pre-amplification and filtering to obtain the i-th voltage signal.

[0066] Step 303: Use a computer to process the i-th voltage signal using a matched filter to obtain the time delay value τ of the i-th voltage signal. i ;

[0067] Step 304: Use a computer to process the time delay values ​​τ1, ..., τi of the first voltage signal. i The time delay τ of the nth voltage signal, ... n Sort by size from smallest to largest, before filtering. The voltage signal corresponding to each delay value τ1 is denoted as the voltage signal to be processed; where [·] represents rounding down; where i is a positive integer, and 1≤i≤N, and N is the total number of microphones;

[0068] Step 305: Record each voltage signal to be processed as the s1th voltage signal to be processed, ..., the s1st voltage signal to be processed. j The voltage signal to be processed, ..., the sth... m There are 1 voltage signal to be processed; where s1 ≤ s j ≤s m And s1, s j and s m All are positive integers and their values ​​are all between 1 and N;

[0069] Step 4: Locating the noise level of the motorcycle to be tested:

[0070] Step 401: Use a computer to apply a filter to the s-th... j The voltage signal to be processed and the sth q The voltage signal to be processed is filtered to obtain the s-th voltage signal. j The filtered voltage signal and the s-th q There are several filtered voltage signals; where s1 ≤ s q ≤s m , and s q ≠s j;

[0071] Step 402: Use a computer to perform cross-correlation function analysis on the s-th... j The voltage signal to be processed and the sth q The voltage signals to be processed are subjected to cross-correlation function processing to obtain the time delay value τ when the cross-correlation value is maximized. j,q and τ j,q denoted as the sth j The voltage signal to be processed and the sth q The time delay value between the voltage signals to be processed;

[0072] Step 403: Obtain the sth digit from step 201 j The location coordinates of each microphone in, Indicates the sth j The X, Y, and Z coordinates of each microphone;

[0073] Step 404: Using a computer, the location coordinates of a noise source are obtained based on the position coordinates of any three microphones and the time delay between one voltage signal to be processed and another voltage signal to be processed corresponding to those three microphones. in, Represents the X, Y, and Z axis coordinates of a noise emission;

[0074] Step 405: Repeat step 304 multiple times to obtain the location coordinates of multiple noise sources;

[0075] Step 406: Display the noise locations on the motorcycle test image based on the coordinates of the multiple noise sources.

[0076] In this embodiment, step 403 obtains the sth digit from step 201. j The location coordinates of each microphone The specific process is as follows:

[0077] Step 4031: Establish a spatial rectangular coordinate system: the origin O is the center of the bottom surface of the T-shaped bracket 4, the OX axis is along the length of the bottom surface of the T-shaped bracket 4, the OZ axis is arranged upward along the height of the T-shaped bracket 4, and the OY axis is perpendicular to the OXZ plane formed by the OX axis and the OZ axis and points backward.

[0078] Step 4032: Mark the microphones in order from top to bottom and left to right to obtain their spatial positions;

[0079] Step 4033: Obtain the s-th microphone from its spatial location. j The location coordinates of each microphone in, Indicates the sth jThe X, Y, and Z coordinates of each microphone.

[0080] In this embodiment, step 201 involves using a camera to acquire an image of the microphone array, and then using a computer to process the image to obtain the position coordinates of the microphone array. The specific process is as follows:

[0081] Step 2011: Use a camera to capture images of the microphone array, obtain the initial image of the microphone array, and send it to the computer;

[0082] Step 2012: Use a computer to retrieve the distortion correction module to perform distortion correction on the initial image of the microphone array, and obtain the distortion-corrected initial image of the microphone array.

[0083] Step 2013: The computer retrieves the cropping module to crop the initial image of the microphone array after distortion correction, and obtains the cropped microphone image; wherein, the left and right edges of the cropped microphone image are the edges of the horizontal bar 5, the top edge of the cropped motorcycle test image is the top edge of the T-shaped bracket 4, and the bottom edge of the cropped motorcycle test image is the bottom edge of the T-shaped bracket 4.

[0084] Step 2014: Mark the center points of the microphones on the cropped microphone image in order from top to bottom and from left to right, obtain the pixel coordinates of the center point of the i-th microphone, and mark the pixel coordinates of the center point of the i-th microphone as the pixel position of the i-th microphone; where i is a positive integer, and 1≤i≤N, and N is the total number of microphones;

[0085] Step 2015: The computer uses Zhang's calibration method to obtain the spatial position of the i-th microphone through the pixel position of the i-th microphone;

[0086] Step 2016: Repeat step 2015 multiple times to obtain the position coordinates of the microphone array.

[0087] In this embodiment, step 203 involves using the camera in front of the motorcycle under test to capture and process images of the motorcycle and the microphone array to obtain a test image. The specific process is as follows:

[0088] Step 2031: Use the camera to take pictures of the motorcycle under test and the microphone array, obtain the initial image of the motorcycle under test, and send it to the computer;

[0089] Step 2032: Use a computer to retrieve the distortion correction module to perform distortion correction on the initial image of the motorcycle under test, and obtain the distortion-corrected image of the motorcycle under test.

[0090] Step 2033: Use a computer to retrieve and crop the distortion-corrected image of the motorcycle under test, and obtain the cropped motorcycle test image. The cropped microphone image and the cropped motorcycle test image are the same size. The left and right edges of the cropped motorcycle test image are the edges of the horizontal bar, the top edge of the cropped motorcycle test image is the top edge of the T-shaped bracket 4, and the bottom edge of the cropped motorcycle test image is the bottom edge of the T-shaped bracket 4.

[0091] In this embodiment, step 406 involves displaying the noise locations on the motorcycle test image based on the coordinates of multiple noise sources. The specific process is as follows:

[0092] Step 4071: Using a computer and Zhang's calibration method, obtain the pixel coordinates of each noise source by using the position coordinates of multiple noise sources; wherein, the number of pixel coordinates of each noise source is Q.

[0093] Step 4072: Using a computer, the k-means clustering algorithm is used to cluster the pixel coordinates of each noise source to obtain the position of the center pixel after clustering.

[0094] Step 4073: Use a computer to obtain the pixel distance between the pixel coordinates of each noise source and the pixel position of the clustered center point, and sort the pixel distances in ascending order, placing the first pixel in the sorted order... The pixel coordinates are marked as the coordinates of the pixel to be marked; where [·] indicates rounding down;

[0095] Step 4074: Using a computer, assign blue pixel values ​​to the coordinates of the pixels to be marked on the motorcycle test image, and assign red pixel values ​​to the internal pixels of the connected region enclosed by the coordinates of the pixels to be marked.

[0096] In this embodiment, the total number of microphones N is 24.

[0097] In this embodiment, in step 404, a computer obtains the location coordinates of a noise source based on the position coordinates of any three microphones and the time delay between one voltage signal to be processed and another voltage signal to be processed corresponding to those three microphones. At that time, the details are as follows:

[0098] Step 4041: Following the methods described in steps 401 and 402, the s-th... j The voltage signal to be processed and the sth p The s-th voltage signal to be processed is processed to obtain the s-th voltage signal. j The voltage signal to be processed and the sth p The time delay τ between the voltage signals to be processed j,p Where s1≤s p ≤sm , and s p ≠s q ≠s j ;

[0099] Step 4042: Following the methods described in steps 401 and 402, the sth... p The voltage signal to be processed and the sth q The s-th voltage signal to be processed is processed to obtain the s-th voltage signal. p The voltage signal to be processed and the sth q The time delay τ between the voltage signals to be processed p,q ;

[0100] Step 4043: Using a computer, based on the position coordinates of any three microphones and the time delay between one voltage signal to be processed and another voltage signal to be processed corresponding to those three microphones, as shown in the following formula:

[0101] Obtain the location coordinates of the noise source. Where V represents the speed of sound and is 340 m / s.

[0102] In summary, the method of the present invention is simple in steps and reasonable in design. It detects, filters and locates the noise signal of the motorcycle under test, and displays the noise location on the motorcycle test image, which is convenient for intuitive viewing and thus provides a basis for motorcycle quality assurance.

[0103] The above description is merely a preferred embodiment of the present invention and does not constitute any limitation on the present invention. Any simple modifications, alterations, or equivalent structural changes made to the above embodiments based on the technical essence of the present invention shall still fall within the protection scope of the present invention.

Claims

1. A method for detecting and locating motorcycle noise, characterized in that, The method includes the following steps: Step 1: Setting up the microphone array rack: Step 101: Install multiple crossbars (5) along the height direction on the T-shaped bracket (4); Step 102: Set multiple microphones (2) on the crossbar (5) to form a microphone array; wherein, the microphones (2) are mounted on the crossbar (5) by sliding seats (3), and the horizontal spacing between two adjacent microphones (2) is the same, and the vertical spacing between two adjacent microphones (2) is the same; Step 2: Installation and image acquisition of the motorcycle under test: Step 201: Use a camera to acquire images of the microphone array, and use a computer to process the images of the microphone array to obtain the position coordinates of the microphone array; Step 202: Set up a test frame in front of the microphone array and install the motorcycle under test on the test frame; wherein, the wheels of the motorcycle under test are suspended in the air and the acquisition surface of the microphone (2) faces the motorcycle under test. Step 203: Use the camera in front of the motorcycle under test to take pictures and process the images of the motorcycle and the microphone array to obtain a test image of the motorcycle. Step 3: Detection and screening of noise signals from the motorcycle under test: Step 301: Simulate driving the motorcycle under test; Step 302: During the fixed simulated driving process of the motorcycle under test, the i-th microphone detects the noise of the motorcycle under test, and sends the detected i-th initial voltage signal to the computer after pre-amplification and filtering to obtain the i-th voltage signal. Step 303: Use a computer to process the i-th voltage signal using a matched filter to obtain the time delay value of the i-th voltage signal. ; Step 304: Use a computer to calculate the time delay value of the first voltage signal. The time delay value of the i-th voltage signal, ... The time delay value of the nth voltage signal, ... Sort by size from smallest to largest, before filtering. delay value The corresponding voltage signal is denoted as the voltage signal to be processed; where, This indicates rounding down; where i is a positive integer, and 1≤i≤N, and N is the total number of microphones; Step 305: Record each voltage signal to be processed as the... The voltage signal to be processed, ..., the first The voltage signal to be processed, ..., the first There are one voltage signal to be processed; among them... ≤ ≤ ,and , and All are positive integers and their values ​​are all between 1 and N; Step 4: Locating the noise level of the motorcycle to be tested: Step 401: Use a computer to apply a filter to the first... The voltage signal to be processed and the first The voltage signal to be processed is filtered to obtain the first voltage signal. The filtered voltage signal and the first One filtered voltage signal; among which... ≤ ≤ ,and ≠ ; Step 402: Use a computer to perform cross-correlation function analysis on the first... The voltage signal to be processed and the first The voltage signals to be processed are subjected to cross-correlation function processing to obtain the time delay value when the cross-correlation value is maximized. and will Recorded as the number The voltage signal to be processed and the first The time delay value between the voltage signals to be processed; Step 403: Obtain the first from step 201 The location coordinates of each microphone ;in, Indicates the first The X, Y, and Z coordinates of each microphone; Step 404: Using a computer, the location coordinates of a noise source are obtained based on the position coordinates of any three microphones and the time delay between one voltage signal to be processed and another voltage signal to be processed corresponding to those three microphones. ;in, Represents the X, Y, and Z axis coordinates of a noise emission; Step 405: Repeat step 304 multiple times to obtain the location coordinates of multiple noise sources; Step 406: Display the noise locations on the motorcycle test image based on the coordinates of the multiple noise sources. In step 406, the noise locations are displayed on the motorcycle test image based on the coordinates of the multiple noise sources. The specific process is as follows: Step 4061: Using a computer and Zhang's calibration method, obtain the pixel coordinates of each noise source by using the position coordinates of multiple noise sources; wherein, the number of pixel coordinates of the noise sources is... ; Step 4062: Using a computer, the k-means clustering algorithm is used to cluster the pixel coordinates of each noise source to obtain the position of the center pixel after clustering. Step 4063: Use a computer to obtain the pixel distance between the pixel coordinates of each noise source and the pixel position of the clustered center point, and sort the pixel distances in ascending order, placing the first pixel in the sorted order... The pixel coordinates are used as the coordinates of the pixel to be marked; where, Indicates rounding down; Step 4064: Using a computer, assign blue pixel values ​​to the coordinates of the pixels to be marked on the motorcycle test image, and assign red pixel values ​​to the internal pixels of the connected region enclosed by the coordinates of the pixels to be marked.

2. The motorcycle noise detection and localization method according to claim 1, characterized in that: In step 403, the first step is obtained from step 201. The location coordinates of each microphone The specific process is as follows: Step 4031: Establish a spatial rectangular coordinate system: The origin O is the center of the bottom surface of the T-shaped bracket (4), the OX axis is along the length of the bottom surface of the T-shaped bracket (4), the OZ axis is arranged upward along the height of the T-shaped bracket (4), and the OY axis is perpendicular to the OXZ plane formed by the OX axis and the OZ axis and points backward; Step 4032: Mark the microphones in order from top to bottom and left to right to obtain their spatial positions; Step 4033: Obtain the first from the spatial position of each microphone. The location coordinates of each microphone ;in, Indicates the first The X, Y, and Z coordinates of each microphone.

3. The motorcycle noise detection and localization method according to claim 1, characterized in that: In step 201, a camera is used to acquire images of the microphone array, and a computer is used to process these images to obtain the position coordinates of the microphone array. The specific process is as follows: Step 2011: Use a camera to capture images of the microphone array, obtain the initial image of the microphone array, and send it to the computer; Step 2012: Use a computer to retrieve the distortion correction module to perform distortion correction on the initial image of the microphone array, and obtain the distortion-corrected initial image of the microphone array. Step 2013: The computer retrieves the cropping module to crop the initial image of the microphone array after distortion correction, and obtains the cropped microphone image; wherein, the left and right edges of the cropped microphone image are the edges of the horizontal bar (5), the top edge of the cropped motorcycle test image is the top edge of the T-shaped bracket (4), and the bottom edge of the cropped motorcycle test image is the bottom edge of the T-shaped bracket (4). Step 2014: Mark the center points of the microphones on the cropped microphone image in order from top to bottom and from left to right, obtain the pixel coordinates of the center point of the i-th microphone, and mark the pixel coordinates of the center point of the i-th microphone as the pixel position of the i-th microphone; where i is a positive integer, and 1≤i≤N, and N is the total number of microphones; Step 2015: The computer uses Zhang's calibration method to obtain the spatial position of the i-th microphone through the pixel position of the i-th microphone; Step 2016: Repeat step 2015 multiple times to obtain the position coordinates of the microphone array.

4. A motorcycle noise detection and localization method according to claim 3, characterized in that: In step 203, the camera is used in front of the motorcycle under test to capture and process images of the motorcycle and the microphone array to obtain test images of the motorcycle. The specific process is as follows: Step 2031: Use the camera to take pictures of the motorcycle under test and the microphone array, obtain the initial image of the motorcycle under test, and send it to the computer; Step 2032: Use a computer to retrieve the distortion correction module to perform distortion correction on the initial image of the motorcycle under test, and obtain the distortion-corrected image of the motorcycle under test. Step 2033: Use a computer to retrieve the cropping module to crop the distortion-corrected motorcycle image to obtain the cropped motorcycle test image; wherein, the cropped microphone image and the cropped motorcycle test image are the same size, the left and right edges of the cropped motorcycle test image are the edges of the horizontal bar, the top edge of the cropped motorcycle test image is the top edge of the T-shaped bracket (4), and the bottom edge of the cropped motorcycle test image is the bottom edge of the T-shaped bracket (4).

Images