Intelligent prompt tone adjusting method based on external environment, electronic equipment, server and storage medium

Abstract

The invention provides an intelligent prompt tone adjusting method based on an external environment, electronic equipment, a server and a storage medium. The intelligent prompt tone adjusting method comprises the following steps: an acquisition module used for acquiring test data; the calculation module is used for calculating the test data; the judgment module is used for judging the calculated data; and the playing module is used for playing a prompt tone by a vehicle-mounted loudspeaker so as to remind passengers in the vehicle of related information. The beneficial effects of the invention are that the method can solve the problem of accidents caused by the inattention of the driver according to whether the prompt tone can timely and effectively prompt the driver, and comprises a collection module, a calculation module, a judgment module and a playing module, thereby achieving the collection, calculation and judgment of test data, and improving the test efficiency. And the judgment result is output to the playing module, and a vehicle-mounted loudspeaker plays a prompt tone to remind passengers in the vehicle of related information.

Description

Technical Field

[0001] The present invention belongs to the technical field of prompt sounds, and in particular relates to an intelligent prompt sound adjustment method based on an external vehicle environment, an electronic device, a server and a storage medium. Background Art

[0002] With the booming development of the smart car industry in recent years, sound is gradually becoming an important medium for future human-vehicle interaction and the interaction between cars and the external environment. As the most important component, whether the prompt sound can intelligently provide users with accurate prompt information and the quality of the sound are gradually becoming factors for consumers to consider when buying a car. At the same time, the country has also issued corresponding regulations for external car prompt sounds, but there is still a problem that the prompt sound cannot effectively and timely reach the driver due to the driver's lack of concentration, resulting in accidents. Summary of the invention

[0003] In view of this, the present invention aims to propose an intelligent prompt sound adjustment method based on the vehicle's external environment, an electronic device, a server and a storage medium, so as to determine whether the prompt sound can timely and effectively achieve the purpose of prompting the driver and solve the problem of accidents caused by the driver's lack of concentration.

[0004] To achieve the above object, the technical solution of the present invention is achieved as follows:

[0005] A method for adjusting an intelligent prompt tone based on an external vehicle environment comprises the following steps:

[0006] S1, acquisition module: used to collect test data;

[0007] S2, calculation module: used to calculate the test data;

[0008] S3, judgment module: used to judge the calculated data;

[0009] S4, playing module: the playing module receives the information given by the judging module in step S3, and plays a prompt tone through the vehicle speaker to remind the passengers in the vehicle of relevant information.

[0010] Furthermore, in step S1, the acquisition module is used to collect test data, including:

[0011] An external microphone is added to the vehicle hardware configuration, which is used to monitor the external environmental noise in real time;

[0012] Humidity sensor, used to monitor the humidity of the environment outside the vehicle in real time;

[0013] Wind speed sensor, used to monitor the wind speed outside the vehicle in real time;

[0014] Vibration sensor, used to detect the road excitation to the vehicle in real time;

[0015] Vehicle speed information collection, used to track vehicle speed in real time, driver position microphone, used to detect the noise value near the driver's ear in real time;

[0016] Image recognition sensor for recording and identifying road conditions

[0017] The acquisition module and various sensors are centrally arranged in a box body, and the box body is placed at the position of the left longitudinal beam of the vehicle body.

[0018] Further, in step S2, the calculation module performs calculations on the test data, including:

[0019] It is necessary to establish a multiple linear regression equation Y of the influence of the above five factors on the driver's position noise based on the test data, find out the external environmental factors that affect the noise inside the car, exclude the factors with smaller influence, and establish a multiple linear regression equation: Y = X1·α1+X2·α2+X3·α3+X4·α4+X5·α5;

[0020] Segmentation:

[0021] According to the value of the noise condition Y at the final driver position, the processing of the value of the noise condition Y includes a segmented method and a non-segmented method.

[0022] Further, in step S2, the segmentation method includes:

[0023] It is divided into three sections: 30-50dBA, 50-70dBA, 70-90dBA;

[0024] Then, the volume of the prompt sound is set to 51dBA, 71dBA, and 91dBA for each section respectively. The above is the default setting strategy for the vehicle prompt sound volume before the vehicle leaves the factory. This process is set to an automatic detection and autonomous learning process. The machine learns by itself through the user's scenario and establishes a customer's own regression equation to meet the customer's sound level scenario. The volume of the prompt sound will change accordingly.

[0025] Further, in step S2, the non-segmented method includes:

[0026] It is a stepless adjustment that performs real-time adjustments for each sound pressure level number. The adjustment strategy is to increase the volume by 3dBA based on the noise sound pressure level at the driver's position.

[0027] Furthermore, in step S3, the judgment module is used to judge the calculated data, including:

[0028] The judgment module determines which noise segment the sound belongs to based on the microphone value at the driver's position, and outputs the judgment result to the playback module S4.

[0029] An electronic device includes a processor and a memory which is in communication with the processor and is used to store executable instructions of the processor, wherein the processor is used to execute the method for adjusting intelligent prompt sound based on an external vehicle environment.

[0030] A server includes at least one processor and a memory communicatively connected to the processor, wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the processor so that the at least one processor executes the method for adjusting intelligent prompt sounds based on an external vehicle environment.

[0031] A computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method for adjusting an intelligent prompt tone based on an external vehicle environment is implemented.

[0032] Compared with the prior art, the method for adjusting the intelligent prompt tone based on the vehicle exterior environment, the electronic device, the server and the storage medium described in the present invention have the following advantages:

[0033] The present invention discloses an intelligent prompt sound adjustment method based on the vehicle exterior environment, an electronic device, a server and a storage medium. The present invention can solve the problem of accidents caused by the driver's lack of concentration by determining whether the prompt sound can timely and effectively achieve the purpose of prompting the driver. The adjustment method is provided with a collection module, a calculation module, a judgment module and a playback module, thereby realizing the collection, calculation and judgment of test data, and outputting the judgment result to the playback module, and the vehicle-mounted speaker will play the prompt sound to remind the passengers in the vehicle of relevant information. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] The accompanying drawings constituting a part of the present invention are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the accompanying drawings:

[0035] Figure 1 This is a flow chart of the adjustment method according to an embodiment of the present invention;

[0036] Figure 2 This is a schematic diagram of the position of the box body installed on the vehicle body according to an embodiment of the present invention. DETAILED DESCRIPTION

[0037] It should be noted that, in the absence of conflict, the embodiments of the present invention and the features in the embodiments may be combined with each other.

[0038] In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, the terms "first", "second", and the like are only used for descriptive purposes, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, features defined as "first", "second", and the like may explicitly or implicitly include one or more of the features. In the description of the present invention, unless otherwise specified, "multiple" means two or more.

[0039] In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood by specific circumstances.

[0040] The present invention will be described in detail below with reference to the accompanying drawings and in conjunction with embodiments.

[0041] like Figure 1 to Figure 2 As shown, a method for adjusting intelligent prompt sound based on the vehicle external environment includes the following steps:

[0042] S1 acquisition module. The vehicle hardware configuration mainly adds an external microphone, which is mainly used to monitor the external environmental noise in real time; a humidity sensor, which is used to monitor the external environmental humidity in real time; a wind speed sensor, which is used to monitor the external wind speed in real time; a vibration sensor, which is used to detect the road excitation to the vehicle in real time; a speed information collection, which is used to track the vehicle speed in real time; a driver position microphone, which is mainly used to detect the noise value near the driver's ear in real time; an image recognition sensor, which is mainly used to record and identify road conditions. The acquisition module and various sensors are centrally arranged in a box, which is placed at the left longitudinal beam of the vehicle body. On the one hand, it can avoid the influence of rain and dust, and at the same time, the left longitudinal beam is closer to the driver's position, which can improve the transmission efficiency and reduce data errors, such as Figure 2 As shown, the red circle is the position where the box is installed on the vehicle body.

[0043] S2 calculation module. It is necessary to establish a multiple linear regression equation Y based on the test data, which is the influence of the above five factors on the noise at the driver's position, find out the external environmental factors that mainly affect the noise inside the car, exclude the factors with smaller influence, and establish a multiple linear regression equation: Y = X1·α1+X2·α2+X3·α3+X4·α4+X5·α5. (The values ​​of each coefficient are calculated as fixed values) According to the final value of the driver's position noise Y, it is divided into three sections, 30-50dBA, 50-70dBA, 70-90dBA; then set the prompt sound volume for each section to 51dBA, 71dBA, and 91dBA respectively. The above is the default setting strategy for the vehicle prompt sound volume before the vehicle leaves the factory. However, since the amount of data cannot completely cover all scenarios of vehicle use, this process is set as an automatic detection and autonomous learning process. The machine learns by itself through the scenarios used by the user, and establishes a customer-specific regression equation to meet the customer's sound level scenario. The volume of the prompt sound may change accordingly, for example, it becomes 50dBA, 70dBA, 90dBA. The advantage of this segmentation method is that it saves the computing power of the vehicle computer. Another method is not segmented, which is stepless adjustment. Real-time adjustment is performed for each sound pressure level value. The adjustment strategy is to increase the volume by 0.05YdBA according to the driver's position noise sound pressure level. For example, if the driver's position noise is detected to be 60.4dBA, the prompt sound volume should be 63.42dBA. This adjustment method prompts the volume more accurately and effectively, avoiding excessive volume of the prompt sound, which causes driving and trouble. The X influencing factors and Y dependent variables are shown in Table 1.

[0044] Table 1

[0045]

[0046] S3 judgment module: This judgment module judges which noise segment it belongs to based on the microphone value at the driver's position, and outputs the judgment result to the playback module S4.

[0047] S4 Playback module: The playback module receives the information from the S3 judgment module and plays a prompt tone through the vehicle speaker to remind the passengers in the vehicle of relevant information.

[0048] If you are in an underground garage in a residential area, the noise outside the car, vehicle speed, wind speed, humidity and road excitation are generally low. At this time, the processing algorithm set in the car system will automatically adjust the volume of the prompt sound to the sound pressure level corresponding to the first stage range based on the judgment that the noise at the driver's position in the car is in the first stage range. The main prompt sounds used in this scene include steering prompt sounds, front and rear vehicle radars, and automatic parking function prompt sounds, and the sound pressure level is set at 52dBA. This can not only serve as a reminder, but also avoid causing annoyance to the people in the car due to excessive volume, or even causing hearing damage to the human ear.

[0049] If the vehicle is driving on a highway, the noise outside the vehicle, vehicle speed, wind speed and road excitation are all relatively large. At this time, the processing algorithm set in the vehicle computer system can determine that the noise at the driver's position in the vehicle is in the third stage range. The system will automatically adjust the volume of the prompt sound to the sound pressure level corresponding to the third stage range. The main prompt sounds used in this scenario include turning prompt sounds, speeding prompt sounds, side vehicle prompt sounds and front collision warning prompt sounds, and the sound pressure level is set at 67dBA. This can not only play a prompting role, but also prevent the prompt sound from being affected by various factors outside the vehicle, causing the occupants to not hear the prompt, thereby reducing the driving safety risk.

[0050] In step S4, the frequency of the prompt tone playback is increased after switching, and the logic of increasing the frequency of the prompt tone playback includes:

[0051] Set the original playback frequency to YHz, and increase it by Y;

[0052] Detect whether the driver notices the prompt sound. If the driver notices the prompt sound, stop switching the prompt sound. If the driver does not notice the prompt sound, continue switching the prompt sound with increased playback frequency.

[0053] For example: If the playback frequency of a certain prompt tone is 1Hz, increase it by 1Hz for the first time, and continue to check whether the prompt tone is heard. If it is not noticed, switch to a 3Hz prompt tone;

[0054] If the driver notices the prompt sound for the first time, it will switch to an encouraging sound, which can be set as a game-clearing sound effect to increase fun and interactivity. The game-clearing sound effect will bring joy and a sense of accomplishment to the driver.

[0055] After three reminders and continuous detection, if no prompt tone is heard, a final warning tone is issued. The final warning tone is stored in advance and can be a pre-recorded or personalized prompt tone, such as a voice recording of a relative; or a prompt tone with a higher playback frequency;

[0056] In addition, the judgment logic in the controller includes a continuous detection feedback function, which not only switches the prompt tone, but can continuously detect the prompt tone and switch the prompt tone stored in advance. For example, users can preset N reminders in advance according to different habits, not limited to three reminders.

[0057] In this embodiment, the frequency of the prompt sound playback can be increased according to the hearing characteristics of the human ear (for example, the playback interval is changed from 500ms to 100ms), thereby creating a subjective feeling of urgency and tension, thereby prompting the driver to perform corresponding operations.

[0058] The present invention can determine whether the prompt sound can timely and effectively achieve the purpose of prompting the driver and solve the problem of accidents caused by the driver's lack of concentration. The setting adjustment method includes an acquisition module, a calculation module, a judgment module and a playback module, so as to realize the collection, calculation and judgment of test data, and output the judgment result to the playback module, and the vehicle-mounted speaker will play the prompt sound to remind the occupants in the car of relevant information.

[0059] The present invention also proposes an electronic device, comprising a processor and a memory that is communicatively connected to the processor and is used to store executable instructions of the processor, wherein the processor is used to execute the method for adjusting the intelligent prompt sound based on the external vehicle environment.

[0060] The present invention also proposes a server, comprising at least one processor and a memory communicatively connected to the processor, wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the processor so that the at least one processor executes the method for adjusting the intelligent prompt sound based on the external vehicle environment.

[0061] The present invention also proposes a computer-readable storage medium storing a computer program, which implements the method for adjusting the intelligent prompt sound based on the vehicle exterior environment when executed by a processor.

[0062] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for adjusting intelligent prompt sound based on the vehicle's external environment, characterized in that: The following steps are involved: S1, acquisition module: used to collect test data; S2, calculation module: used to calculate the test data; S3, judgment module: used to judge the calculated data; S4, playing module: the playing module receives the information given by the judging module in step S3, and plays a prompt tone through the vehicle speaker to remind the passengers in the vehicle of relevant information.

2. The method for adjusting the intelligent prompt tone based on the vehicle exterior environment according to claim 1, characterized in that: In step S1, the acquisition module is used to collect test data, including: An external microphone is added to the vehicle hardware configuration, which is used to monitor the external environmental noise in real time; Humidity sensor, used to monitor the humidity of the environment outside the vehicle in real time; Wind speed sensor, used to monitor the wind speed outside the vehicle in real time; Vibration sensor, used to detect the road excitation to the vehicle in real time; Vehicle speed information collection, used to track vehicle speed in real time, driver position microphone, used to detect the noise value near the driver's ear in real time; Image recognition sensor for recording and identifying road conditions The acquisition module and various sensors are centrally arranged in a box body, and the box body is placed at the position of the left longitudinal beam of the vehicle body.

3. The method for adjusting the intelligent prompt sound based on the vehicle exterior environment according to claim 1, characterized in that: In step S2, the calculation module performs calculations on the test data, including: It is necessary to establish a multiple linear regression equation Y of the influence of the above five factors on the driver's position noise based on the test data, find out the external environmental factors that affect the noise inside the car, exclude the factors with smaller influence, and establish a multiple linear regression equation: Y = X1·α1+X2·α2+X3·α3+X4·α4+X5·α5; Segmentation: According to the value of the noise condition Y at the final driver position, the processing of the value of the noise condition Y includes a segmented method and a non-segmented method.

4. The method for adjusting the intelligent prompt sound based on the vehicle exterior environment according to claim 3, characterized in that: In step S2, the segmentation method includes: It is divided into three sections: 30-50dBA, 50-70dBA, 70-90dBA; Then, the volume of the prompt sound is set to 51dBA, 71dBA, and 91dBA for each section respectively. The above is the default setting strategy for the vehicle prompt sound volume before the vehicle leaves the factory. This process is set to an automatic detection and autonomous learning process. The machine learns by itself through the user's scenario and establishes a customer's own regression equation to meet the customer's sound level scenario. The volume of the prompt sound will change accordingly.

5. The method for adjusting the intelligent prompt sound based on the vehicle exterior environment according to claim 3, characterized in that: In step S2, the non-segmented method includes: It is a stepless adjustment that performs real-time adjustments for each sound pressure level number. The adjustment strategy is to increase the volume by 3dBA based on the noise sound pressure level at the driver's position.

6. The method for adjusting the intelligent prompt tone based on the vehicle exterior environment according to claim 1, characterized in that: In step S3, the judgment module is used to judge the calculated data, including: The judgment module determines which noise segment the sound belongs to based on the microphone value at the driver's position, and outputs the judgment result to the playback module S4.

7. An electronic device, comprising a processor and a memory connected to the processor for storing instructions executable by the processor, characterized in that: The processor is used to execute the intelligent prompt sound adjustment method based on the external vehicle environment as described in any one of claims 1-6 above.

8. A server, characterized in that: It includes at least one processor and a memory communicatively connected to the processor, wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the processor so that the at least one processor executes the method for adjusting the intelligent prompt sound based on the external vehicle environment as described in any one of claims 1-6.

9. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by the processor, the method for adjusting the intelligent prompt sound based on the external vehicle environment as described in any one of claims 1 to 6 is implemented.

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