An intelligent data analysis system and method based on automotive audio

Abstract

The present invention discloses an intelligent data analysis system and method based on an automotive audio, which relates to the technical field of in-vehicle audio control. When the vehicle is in a target working condition, the warning prompt sounds outside the vehicle are collected and stored in a warning prompt sound database, and a first relationship model between the warning prompt sound and the object that emits the warning prompt sound is established. The azimuth and distance of the target object relative to the vehicle are identified, and the warning prompt sound emitted by the target object is matched with the warning prompt sounds of the warning objects in the database. The usage parameters of the in-vehicle media in the target vehicle are collected, and the playback intensity of the simulated prompt sound is adjusted. The relative position relationship between the target object and the vehicle is obtained, and the in-vehicle audio equipment is matched to play the simulated prompt sound in the first stage. The position of the target object is tracked. When the position of the target object relative to the vehicle changes, the simulated prompt sound is played in the second stage.

Description

Technical Field

[0001] The present invention relates to the technical field of in-vehicle audio control, and in particular to an intelligent data analysis system and method based on an automotive audio system. Background Art

[0002] With the development of automotive sound insulation engineering, by improving the sealing of the vehicle body and adding sound-absorbing materials in the vehicle body, the vehicle's isolation effect on traffic noise is getting better and better, providing a quiet driving environment for vehicle occupants. However, as road noise is isolated, many warning sounds in the traffic environment are also blocked, such as vehicle horns and road notification broadcasts. Since the relevant warning sounds are blocked, the driver's perception ability of the road environment becomes weaker, resulting in deviations in the driver's judgment of the road conditions, and further increasing the possibility of the driver making unsafe operations. Summary of the Invention

[0003] The purpose of the present invention is to provide an intelligent data analysis system and method based on an automotive audio system to solve the problems raised in the above background art.

[0004] To solve the above technical problems, the present invention provides the following technical solutions: an intelligent data analysis system and method based on an automotive audio system, the method comprising:

[0005] Step S100: Taking a certain driving condition of the vehicle as the target condition, collecting the warning sounds outside the vehicle when the vehicle is in the target condition and storing them in the warning sound database, and establishing a first relationship model between the warning sound and the object that emits the warning sound;

[0006] Step S200: When it is recognized that the vehicle driving state is in the target condition, taking the object that emits the warning sound in the target condition as the target object, identifying the azimuth and distance of the target object relative to the vehicle, and matching the warning sound emitted by the target object with the warning sounds of the warning objects in the database to obtain the simulated warning sound of the target object;

[0007] Step S300: Collecting the usage parameters of the in-vehicle media in the target vehicle and adjusting the playback intensity of the simulated warning sound;

[0008] Step S400: Obtaining the relative position relationship between the target object and the vehicle, matching the in-vehicle audio equipment, and performing the first-stage playback of the simulated warning sound;

[0009] Step S500: Tracking the position of the target object, and when the position of the target object relative to the vehicle changes, performing the second-stage playback of the simulated warning sound.

[0010] Further, step S100 includes:

[0011] Step S101: Select a certain type of vehicle as the target vehicle, obtain the environmental characteristics of the vehicle driving conditions during the driving of the target vehicle, classify the environmental characteristics, and establish an environmental model for the vehicle operating conditions;

[0012] Step S102: Mark the objects that emit warning prompt sounds in different environments, store each warning prompt sound in the warning prompt sound database, where the warning prompt sound corresponds one-to-one with the object that emits the warning prompt sound. Denote the object that emits the j-th warning prompt sound in the i-th environment as A ij , establish a first plane coordinate system from the top-down view of the vehicle. Among them, the coordinate origin in the first plane coordinate system is the center of the target vehicle;

[0013] In the first plane coordinate system, record the relative position of the object that emits the warning prompt sound with respect to the target vehicle. Take the projection area of the target vehicle in the first plane coordinate system, obtain the midpoint of the projection range as the coordinate origin of the first plane coordinate system, take the driving direction of the target vehicle as the reference direction in the first plane coordinate system, connect the object that emits the warning prompt sound to the origin of the first plane coordinate system, and take the angle between the connection line and the reference direction as the angle of the object that emits the warning prompt sound with respect to the target vehicle;

[0014] Step S103: Take the driving direction of the vehicle as the reference direction, set a reference distance d0 and a reference angle φ. When A ij is at a distance of d0, and the angle between the connection line of A ij and the vehicle and the reference direction is φ, record the warning prompt sound N ij emitted by A ij , and the volume VC ij received inside the vehicle at this time, save the analog prompt sound (N ij , VC ij ) corresponding to A ij ;

[0015] Step S104: Collect the analog prompt sounds of the vehicle in the i-th environment, collect the analog prompt sounds of the vehicle under all driving conditions, and establish a first relationship model according to the relationship among the vehicle driving environment, the object that emits the warning prompt sound, and the analog prompt sound elements;

[0016] In order to make the played sound relatively pure, reduce the mixing of environmental noise in the content played inside the vehicle, and avoid extracting sounds from the real environment. By modeling the analog prompt sound, the sound played inside the vehicle is made clearer.

[0017] Furthermore, step S200 includes:

[0018] Step S201: Identify the environmental characteristics of the target vehicle under the current driving condition, match the current driving condition according to the environmental model. When it is matched that the current condition of the target vehicle is the target condition, gather the objects that emit all the warning beep sounds corresponding to the target condition to form a comparison list;

[0019] Step S202: Take the objects that emit all the warning beep sounds detected in the comparison list as target objects. When it is detected that a target object emits a warning beep sound, obtain the warning beep sound identical to the warning beep sound emitted by the target object in the warning beep sound database;

[0020] Step S203: Obtain the volume VCx of the warning beep sound stored in the warning database, the distance dx between the target object and the target vehicle. In the first plane coordinate system, record the connection line between the target object and the target vehicle as the first connection line, and obtain the included angle φx between the first connection line and the vehicle driving direction.

[0021] Further, step S300 includes:

[0022] Step S301: Obtain the maximum playback volume Emax of the in-vehicle media in the target vehicle, collect the current volume E0 of the current in-vehicle media in the target vehicle, and calculate the volume comparison coefficient α, α = E0 / Emax;

[0023] Step S302: Calculate the volume increase value VC add , VC add = α × VCx;

[0024] Step S303: Calculate the playback volume Eb, Eb = E0 + VC add ;

[0025] By analyzing the playback volume of the in-vehicle media in the target vehicle, obtain the driver's auditory habit, adjust the volume of the simulated beep sound stored in the database according to the driver's auditory habit, and superimpose the adjusted volume on the existing volume of the in-vehicle media to obtain the playback volume of the simulated beep sound; Based on the driver's auditory habit as a reference, avoid the discomfort caused to the driver by too loud a beep sound, and also avoid that too soft a beep sound cannot play a reminder effect on the driver.

[0026] Further, step S400 includes:

[0027] Step S401: In the same plane as the first plane coordinate system, establish a second plane coordinate system parallel to the first plane coordinate system, and the origin of the second plane coordinate system coincides with the head of the driver of the target vehicle;

[0028] Step S402: in the second plane coordinate system, a straight line corresponding to the vehicle's driving direction is obtained, a straight line having an angle φx with the straight line is recorded as a first reference straight line, and a vehicle speaker in the target vehicle that is closest to the first reference straight line is recorded as a first target speaker;

[0029] Step S403: Playing an analog prompt sound through the first target speaker, wherein the playing volume of the analog prompt sound is Eb;

[0030] The second plane coordinate system is parallel to the first plane coordinate system. The origin of the coordinates is transformed from the center position of the vehicle body projection to the position of the driver's head. The connecting line in the first plane coordinate system is moved parallel to the second plane coordinate system. The positional relationship between the warning sound emitter and the target vehicle is mapped to the second plane coordinate system, and a suitable target sound is further found.

[0031] The location of most car cabs is not on the central axis of the vehicle, but on one side of the vehicle. In order to more accurately simulate the position of the warning sound relative to the target vehicle and allow the driver to fully experience the relative direction of the warning sound and take correct measures, the method of mapping two plane coordinate systems is adopted to improve the accuracy of the simulated sound direction.

[0032] Furthermore, step S500 includes:

[0033] Step S501: taking the angle between the line connecting the target object and the target vehicle in the first plane coordinate system and the driving direction of the vehicle as the first parameter, updating the line when the first parameter changes to obtain a second line, and obtaining the time t0 when the first line changes to the second line;

[0034] Step S502: Mapping the second connecting line to the second plane coordinate system in the same manner as in step S400 to obtain a second reference straight line, and obtaining the vehicle-mounted speaker closest to the speaker reference straight line in the target vehicle as the second target speaker;

[0035] Step S503: taking the distance between the target object and the target vehicle as the second parameter, calculating the relative speed v between the target object and the target vehicle at time t0, calculating the Doppler effect acoustic frequency change of the analog prompt sound, changing the playback frequency of the analog prompt sound, obtaining a second analog prompt sound, and playing the second analog prompt sound on the second target speaker;

[0036] When the relative position of the warning tone emitting object with respect to the target vehicle changes, it enters the second playback stage. The second playback stage includes two parts. The first is the simulation of the relative position angle, which is the same as the first stage. The second is the simulation of the relative distance. By detecting the relative speed between the target object and the target vehicle, the sound frequency of the simulated warning tone stored in the database is adjusted according to the Doppler effect to simulate the relative motion effect of the target object with respect to the target vehicle.

[0037] To better implement the above method, an intelligent data analysis system based on a car audio is also proposed. The system includes:

[0038] a sound source management module, a sound source matching module, a volume adjustment module, a first-stage playback management module, and a second-stage playback management module. Among them, the sound source management module is used to manage the warning tone in different scenarios and the corresponding relationship between the warning tone and the emitting object. The sound source matching module is used to analyze the driving conditions of the vehicle and match the warning tone of the target object. The volume adjustment module is used to adjust the playback volume of the simulated warning tone. The first-stage playback management module is used to perform the first-stage playback of the simulated warning tone. The second-stage playback management module is used to perform the second-stage playback of the simulated warning tone;

[0039] Furthermore, the sound source management module includes: an environmental model management unit, a sound source acquisition unit, and a first relationship model management unit. Among them, the environmental model management unit is used to manage the environmental model of the vehicle driving conditions. The sound source acquisition unit is used to collect the sound sources of the warning tones in different environmental models. The first relationship model management unit is used to manage the first relationship model;

[0040] Furthermore, the sound source matching module includes: a driving condition identification unit, a target identification unit, and a warning tone matching unit. Among them, the driving condition identification unit is used to identify the driving environment characteristics of the vehicle and match the driving conditions in the environmental model. The target identification unit is used to detect the position of the target object with respect to the vehicle. The warning tone matching unit is used to match the warning tone of the target object;

[0041] Furthermore, the volume adjustment module includes: a media monitoring unit, a volume increase value calculation unit, and a playback volume management unit. Among them, the media monitoring unit is used to collect the playback volume of the in-vehicle media in the target vehicle. The volume increase value calculation unit is used to calculate the volume increase value by obtaining the volume comparison coefficient. The playback volume management unit is used to manage the playback volume of the simulated warning tone;

[0042] Further, the first-stage playback management module includes: a target object monitoring unit, a first target audio selection unit, and a first playback instruction sending unit. Among them, the target object monitoring unit is used to monitor the state of the target object relative to the position of the target vehicle in the first plane coordinate system. The first target audio selection unit is used to obtain the selection of the first target audio in the target vehicle. The first playback instruction sending unit is used to send a corresponding playback instruction to the first target audio;

[0043] Further, the second-stage playback management module includes: a movement detection unit, a second target audio selection unit, and a second playback instruction sending unit. Among them, the movement detection unit is used to detect the movement of the target object. The second target audio selection unit is used to select the second playback audio according to the movement of the target object. The second playback instruction sending unit is used to send a corresponding playback instruction to the second target audio.

[0044] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: By identifying the object that emits the warning prompt sound, the present invention maps the relative position of the target object to the target vehicle to the positional relationship between the driver and the target audio, and plays the simulated prompt sound through the in-vehicle audio, so that when the warning prompt sound outside the vehicle is blocked by the vehicle body, the driver can clearly hear the warning prompt sound, enabling the driver to accurately understand the road conditions. And by detecting the relative position, when the relative position changes, the audio simulates the change in the relative position, further improving the authenticity of the simulated warning prompt sound. Description of the Drawings

[0045] The drawings are used to provide a further understanding of the present invention and constitute a part of the specification. They are used together with the embodiments of the present invention to explain the present invention and do not constitute a limitation to the present invention. In the drawings:

[0046] Figure 1 is a schematic structural diagram of an intelligent data analysis system based on an automotive audio according to the present invention;

[0047] Figure 2 is a schematic flow diagram of an intelligent data analysis method based on an automotive audio according to the present invention. Detailed Embodiments

[0048] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0049] Please refer to Figure 1 andFigure 2 , the present invention provides a technical solution:

[0050] Step S100: Take a certain driving condition of the vehicle as the target condition, collect the warning prompt sounds outside the vehicle when the vehicle is in the target condition and store them in the warning prompt sound database, and establish a first relationship model between the warning prompt sounds and the objects that emit the warning prompt sounds;

[0051] Among them, step S100 includes:

[0052] Step S101: Select a certain model of vehicle as the target vehicle, obtain the environmental characteristics of the vehicle driving condition during the driving process of the target vehicle, classify the environmental characteristics, and establish an environmental model of the vehicle operating condition;

[0053] In an embodiment, the operating condition characteristics of the vehicle are extracted from the environment in which the vehicle operates. For example, urban traffic conditions, highway traffic conditions, rural traffic conditions, and mountain traffic conditions, and, under some harsh natural conditions, the operating condition modes that need to receive road information issued by the traffic management department, such as, foggy conditions, road surface ice and road surface water accumulation operating condition modes;

[0054] Step S102: Obtain and mark the objects that emit warning prompt sounds in different environments, store each warning prompt sound in the warning prompt sound database, where the warning prompt sound corresponds one-to-one with the object that emits the warning prompt sound, and denote the jth warning prompt sound emitting object in the ith environment as A ij , establish a first plane coordinate system from the top-down view of the vehicle, where the origin of coordinates in the first plane coordinate system is the center of the target vehicle;

[0055] Step S103: Take the driving direction of the vehicle as the reference direction, and set the reference distance d0 and the reference angle When A ij The distance is d0, and the included angle between the line connecting A ij and the vehicle and the reference direction is At this time, record the warning prompt sound N ij emitted by A ij At this time, the volume VC ij received inside the vehicle ij , save the analog prompt sound corresponding to A ij , VC ij );

[0056] In the embodiment, the analog prompt sounds saved in the database include: sirens of work vehicles such as fire trucks, rescue vehicles, and engineering vehicles, whistles of social vehicles such as non-motor vehicles or motor vehicles, and warning notifications from the traffic management department, such as information announcements or danger warning prompt sounds;

[0057] Step S104: Collect the simulated warning sounds of vehicles in the i-th environment, collect the simulated warning sounds in all driving conditions of the vehicle, and establish a first relationship model according to the relationship among the vehicle driving environment, the object for emitting the warning sound, and the simulated warning sound elements.

[0058] Step S200: When it is recognized that the vehicle driving state is in the target condition, use the object for emitting the warning sound in the target condition as the target object, identify the azimuth and distance of the target object relative to the vehicle, and match the warning sound emitted by the target object with the warning sounds of warning objects in the database to obtain the simulated warning sound of the target object;

[0059] Among them, step S200 includes:

[0060] Step S201: Identify the environmental characteristics of the target vehicle in the current driving condition, match the current driving condition according to the environmental model. When it is matched that the current condition of the target vehicle is the target condition, collect all the objects for emitting the warning sounds corresponding to the target condition to form a comparison list;

[0061] Step S202: Use all the objects for emitting the warning sounds detected in the comparison list as the target objects. When it is detected that the target object emits a warning sound, obtain the warning sound that is the same as the warning sound emitted by the target object in the warning sound database;

[0062] Step S203: Obtain the volume VCx of the warning sound stored in the warning database, and the distance dx between the target object and the target vehicle. In the first plane coordinate system, record the connection line between the target object and the target vehicle as the first connection line, and obtain the included angle between the first connection line and the vehicle driving direction

[0063] Step S300: Collect the usage parameters of the in-vehicle media in the target vehicle and adjust the playback intensity of the simulated warning sound;

[0064] Among them, step S300 includes:

[0065] Step S301: Obtain the maximum playback volume Emax of the in-vehicle media in the target vehicle, collect the current volume E0 of the current in-vehicle media in the target vehicle, and calculate the volume comparison coefficient α, α = E0 / Emax;

[0066] Step S302: Calculate the volume increase value VC add ,VC add = α × VCx;

[0067] Step S303: Calculate the playback volume Eb, Eb = E0 + VC add 。

[0068] Step S400: Obtain the relative position relationship between the target object and the vehicle, match the audio equipment inside the vehicle, and play the simulated prompt sound in the first stage;

[0069] Among them, step S400 includes:

[0070] S400 includes:

[0071] Step S401: In the same plane as the first plane coordinate system, establish a second plane coordinate system parallel to the first plane coordinate system, and the origin of the second plane coordinate system coincides with the head of the driver of the target vehicle;

[0072] Step S402: In the second plane coordinate system, obtain the straight line corresponding to the vehicle driving direction, and denote the straight line with an angle of with the straight line as the first reference line, and use the in-vehicle audio that is the closest to the first reference line in the target vehicle as the first target audio;

[0073] Step S403: Play the simulated prompt sound through the first target audio, where the playback volume of the simulated prompt sound is Eb.

[0074] Step S500: Track the position of the target object, and when the position of the target object changes relative to the vehicle, play the simulated prompt sound in the second stage;

[0075] Among them, step S500 includes:

[0076] Step S501: Use the angle between the connection line of the target object and the target vehicle and the vehicle driving direction in the first plane coordinate system as the first parameter. When the first parameter changes, update the connection line to obtain the second connection line, and obtain the time t0 from the first connection line changing to the second connection line;

[0077] Step S502: Imitate the method in step S400, map the second connection line to the second plane coordinate system to obtain the second reference line, and use the in-vehicle audio that is the closest to the audio reference line in the target vehicle as the second target audio;

[0078] Step S503: Use the distance between the target object and the target vehicle as the second parameter, calculate the relative speed v between the target object and the target vehicle in the time t0, calculate the change amount of the Doppler effect acoustic frequency of the simulated prompt sound, change the playback frequency of the simulated prompt sound to obtain the second simulated prompt sound, and play the second simulated prompt sound on the second target audio;

[0079] Among them, the Doppler effect frequency formula is: where \(k = v / p\), where \(f_1\) represents the audio frequency received by the audio receiver, \(f_0\) represents the audio frequency of the audio sender, \(v\) represents the relative movement speed of the target object and the target vehicle, and \(p\) represents the propagation speed of sound waves in the medium;

[0080] In the embodiment, \(f_0\) is the audio frequency of the simulated prompt sound stored in the database, \(f_1\) represents the adjusted audio frequency of the simulated prompt sound, that is, the audio frequency of the simulated prompt sound during the second-stage playback, and \(p\) represents the propagation speed of sound waves in the medium between the target vehicle and the target object.

[0081] The system includes:

[0082] a sound source management module, a sound source matching module, a volume adjustment module, a first-stage playback management module, and a second-stage playback management module;

[0083] Among them, the sound source management module is used to manage the warning prompt sounds in different scenarios and the corresponding relationship between the warning prompt sounds and the sending objects. Among them, the sound source management module includes: an environment model management unit, a sound source acquisition unit, and a first relationship model management unit. Among them, the environment model management unit is used to manage the environment model of the vehicle driving conditions, the sound source acquisition unit is used to collect the sound sources of the warning prompt sounds in different environment models, and the first relationship model management unit is used to manage the first relationship model;

[0084] Among them, the sound source matching module is used to analyze the driving conditions of the vehicle and match the warning prompt sound of the target object. Among them, the sound source matching module includes: a driving condition identification unit, a target identification unit, and a prompt sound matching unit. Among them, the driving condition identification unit is used to identify the driving environment characteristics of the vehicle and match the driving conditions in the environment model, the target identification unit is used to detect the position of the target object relative to the vehicle, and the prompt sound matching unit is used to match the warning prompt sound of the target object;

[0085] Among them, the volume adjustment module is used to adjust the playback volume of the simulated prompt sound. Among them, the volume adjustment module includes: a media monitoring unit, a volume increase value calculation unit, and a playback volume management unit. Among them, the media monitoring unit is used to collect the playback volume of the in-vehicle media in the target vehicle, the volume increase value calculation unit is used to calculate the volume increase value by obtaining the volume comparison coefficient, and the playback volume management unit is used to manage the playback volume of the simulated prompt sound;

[0086] Among them, the first-stage playback management module is used for the first-stage playback of the simulated prompt sound. The first-stage playback management module includes: a target object monitoring unit, a first target sound selection unit, and a first playback instruction sending unit. The target object monitoring unit is used to monitor the state of the target object relative to the position of the target vehicle in the first-plane coordinate system. The first target sound selection unit is used to obtain the first target sound selected in the target vehicle. The first playback instruction sending unit is used to send a corresponding playback instruction to the first target sound;

[0087] Among them, the second-stage playback management module is used for the second-stage playback of the simulated prompt sound. The second-stage playback management module includes: a movement detection unit, a second target sound selection unit, and a second playback instruction sending unit. The movement detection unit is used to detect the movement of the target object. The second target sound selection unit is used to select the second playback sound according to the movement of the target object. The second playback instruction sending unit is used to send a corresponding playback instruction to the second target sound.

[0088] It should be noted that in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements not only includes those elements, but also includes other elements not expressly listed, or also includes elements inherent to such process, method, article or device.

[0089] Finally, it should be noted that the above are only preferred embodiments of the present invention and are not used to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements for some of the technical features. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. An intelligent data analysis method based on a car audio system, characterized in that, The method includes the following steps: Step S100: Take a certain driving condition of the vehicle as the target condition, collect the warning prompt sounds outside the vehicle when the vehicle is in the target condition and store them in the warning prompt sound database, and establish a first relationship model between the warning prompt sound and the object that emits the warning prompt sound; Step S100 includes: Step S101: Select a certain model of vehicle as the target vehicle, obtain the environmental characteristics of the vehicle driving condition during the driving process of the target vehicle, classify the environmental characteristics, and establish an environmental model of the vehicle operating condition; Step S102: Obtain the warning sound emitting objects in different environments for marking, store each warning sound in the warning sound database, where the warning sound corresponds one-to-one with the warning sound emitting object, and denote the j-th warning sound emitting object in the i-th environment as A ij , establish a first plane coordinate system in the top-down view of the vehicle, where the coordinate origin in the first plane coordinate system is the center of the target vehicle; Step S103: Take the driving direction of the vehicle as the reference direction, set the reference distance d0 and the reference angle φ. When ij the distance is d0, and ij the included angle between the line connecting A and the vehicle and the reference direction is φ, record the warning prompt sound N ij emitted by A ij when the received volume VC ij inside the vehicle, save the corresponding simulated prompt sound (N ij , VC ij , ij ); Step S104: Collect the simulated prompt sounds of the vehicle in the i-th environment, collect the simulated prompt sounds in all driving conditions of the vehicle, and establish a first relationship model according to the relationship between the vehicle driving environment, the object that emits the warning prompt sound, and the elements of the simulated prompt sound; Step S200: When it is recognized that the vehicle driving state is in the target condition, take the object that emits the warning prompt sound in the target condition as the target object, identify the azimuth and distance of the target object relative to the vehicle, and match the warning prompt sound emitted by the target object with the warning prompt sound of the warning object in the database to obtain the simulated prompt sound of the target object; Step S200 includes: Step S203: Obtain the volume VCx stored in the warning database of the warning prompt sound, the distance dx between the target object and the target vehicle. In the first plane coordinate system, record the connection line between the target object and the target vehicle as the first connection line, and obtain the included angle φx between the first connection line and the vehicle driving direction; Step S300: Collect the usage parameters of the in-vehicle media in the target vehicle and adjust the playback intensity of the simulated prompt sound; Step S300 includes: Step S301: Obtain the maximum playback volume Emax of the in-vehicle media in the target vehicle, collect the current volume E0 of the current in-vehicle media in the target vehicle, and calculate the volume comparison coefficient α, α = E0 / Emax; Step S302: Calculate the volume increase value VC add , VC add = α × VCx; Step S303: Calculate the playback volume Eb, where Eb = E0 + VC add ; Step S400: Obtain the relative position relationship between the target object and the vehicle, match the in-vehicle audio equipment, and perform the first-stage playback of the simulated prompt sound; Step S400 includes: Step S401: In the same plane as the first plane coordinate system, establish a second plane coordinate system parallel to the first plane coordinate system, and the coordinate origin of the second plane coordinate system coincides with the head of the driver of the target vehicle; Step S402: In the second plane coordinate system, obtain the straight line corresponding to the vehicle driving direction, record the straight line with an included angle of φx with the straight line as the first reference straight line, and take the in-vehicle audio closest to the first reference straight line in the target vehicle as the first target audio; Step S403: Play the simulated prompt sound through the first target audio, where the playback volume of the simulated prompt sound is Eb; Step S500: Track the position of the target object. When the position of the target object relative to the vehicle changes, perform the second-stage playback of the simulated prompt sound; Step S500 includes: Step S501: Use the angle between the line connecting the target object and the target vehicle and the vehicle driving direction in the first plane coordinate system as the first parameter. When the first parameter changes, update the line to obtain a second line, and acquire the time t0 from the change of the first connection line to the second connection line. Step S502: Imitate the method in step S400 to map the second line to the second plane coordinate system to obtain a second reference line, and acquire the in-vehicle audio closest to the audio reference line in the target vehicle as the second target audio. Step S503: Use the distance between the target object and the target vehicle as the second parameter, calculate the relative speed v between the target object and the target vehicle within the time t0, calculate the Doppler effect acoustic frequency change of the simulated prompt sound, change the playback frequency of the simulated prompt sound to obtain a second simulated prompt sound, and play the second simulated prompt sound on the second target audio.

2. The intelligent data analysis method based on an automotive audio according to claim 1, wherein: In step S200, before step S203, steps S201 and S202 are further included. Step S201: Identify the environmental characteristics of the target vehicle under the current driving condition, match the current driving condition according to the environmental model. When the current condition of the target vehicle is matched to the target condition, gather all the objects that emit warning prompt sounds corresponding to the target condition to form a comparison list. Step S202: Use all the objects that emit warning prompt sounds detected in the comparison list as the target objects. When it is detected that a target object emits a warning prompt sound, obtain the warning prompt sound identical to the warning prompt sound emitted by the target object in the warning prompt sound database.

3. An intelligent data analysis system applying the intelligent data analysis method based on an automotive audio according to any one of claims 1-2, characterized in that, The system includes the following modules: a sound source management module, a sound source matching module, a volume adjustment module, a first-stage playback management module, and a second-stage playback management module. Among them, the sound source management module is used to manage the warning prompt sounds in different scenarios and the corresponding relationship between the warning prompt sounds and the emitting objects. The sound source matching module is used to analyze the driving condition of the vehicle and match the warning prompt sound of the target object. The volume adjustment module is used to adjust the playback volume of the simulated prompt sound. The first-stage playback management module is used to perform the first-stage playback of the simulated prompt sound. The second-stage playback management module is used to perform the second-stage playback of the simulated prompt sound.

4. The intelligent data analysis system according to claim 3, characterized in that: The sound source management module includes: an environmental model management unit, a sound source acquisition unit, and a first relationship model management unit. Among them, the environmental model management unit is used to manage the environmental models of the vehicle driving conditions. The sound source acquisition unit is used to acquire the sound sources of the warning prompt sounds in different environmental models. The first relationship model management unit is used to manage the first relationship model. The sound source matching module includes: a condition identification unit, a target identification unit, and a prompt sound matching unit. Among them, the condition identification unit is used to identify the driving environmental characteristics of the vehicle and match the driving conditions in the environmental model. The target identification unit is used to detect the position of the target object relative to the vehicle. The prompt sound matching unit is used to match the warning prompt sound of the target object.

5. The intelligent data analysis system according to claim 3, wherein: The volume adjustment module includes: a media monitoring unit, a volume increment calculation unit, and a playback volume management unit. Among them, the media monitoring unit is used to collect the playback volume of the in-vehicle media in the target vehicle, the volume increment calculation unit is used to calculate the volume increment by obtaining the volume comparison coefficient, and the playback volume management unit is used to manage the playback volume of the analog prompt sound.

6. The intelligent data analysis system according to claim 3, wherein: The first-stage playback management module includes: a target object monitoring unit, a first target audio selection unit, and a first playback instruction sending unit. Among them, the target object monitoring unit is used to monitor the state of the target object relative to the position of the target vehicle in the first plane coordinate system, the first target audio selection unit is used to obtain the first target audio selected in the target vehicle, and the first playback instruction sending unit is used to send the corresponding playback instruction to the first target audio; The second-stage playback management module includes: a movement detection unit, a second target audio selection unit, and a second playback instruction sending unit. Among them, the movement detection unit is used to perform movement detection on the target object, the second target audio selection unit is used to select the second playback audio according to the movement of the target object, and the second playback instruction sending unit is used to send the corresponding playback instruction to the second target audio.

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