Dual-unlocking luminous B-pillar plaque

Abstract

The invention discloses a dual-unlocking luminous B-pillar plaque, and relates to the field of vehicle unlocking, the dual-unlocking luminous B-pillar plaque comprises a plaque body, the plaque body is fixedly mounted on a vehicle B-pillar, a protective film is fixedly mounted on one side of the plaque body, a password plate is fixedly mounted in the plaque body, the protective film covers the surface of the password plate, and the protective film covers the surface of the password plate. A voice recognition device is fixedly installed on one side of the plate body, and the top of the voice recognition device is fixedly connected with an MCU chip. When the device is used, a user can open the automobile door through the voice recognition device and the password plate, when operation is inconvenient by two hands, the user can open the automobile through the voice recognition device, and when the environment is noisy or the surrounding light is dim, the user can manually input passwords on the password plate to unlock the automobile. The voice recognition module in the voice unlocking system can recognize the voice instruction of the user in real time, quick response is provided, and the user experience is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of vehicle unlocking, and in particular to a double-unlocking luminous B-pillar trim panel. Background Art

[0002] Vehicle voice unlocking‌ is a technology that uses voice commands to unlock the vehicle. It is part of the vehicle's voice control system. By turning on the voice control function, the vehicle can recognize the user's voice commands and perform corresponding unlocking operations. Vehicle password unlocking‌ is a method of unlocking the vehicle using a digital password or fingerprint recognition. It provides a convenient and safe way to open the vehicle, especially for situations where you forget to bring your traditional key or the keyless entry system fails.

[0003] For example, "A Automobile B-pillar Unlocking System" with publication number CN110682968A includes a B-pillar trim body, on which is provided a processing module, a display screen module, and a fingerprint recognition module and a face recognition module for realizing double unlocking of vehicle doors, wherein the display screen module, the fingerprint recognition module and the face recognition module are electrically connected to the processing module respectively; the processing module includes a data storage module, a data matching module and a data transceiver module; the fingerprint recognition module includes a fingerprint recognition button and a signal circuit adapter board, and the fingerprint recognition button is provided with a fingerprint collector for collecting user fingerprint information; the face recognition module includes an infrared light source and a camera module arranged on the B-pillar trim body for collecting user facial information; and a touch screen is provided on the display screen module.

[0004] However, in the prior art, if the car door only relies on one unlocking method without combining other unlocking methods, voice unlocking may be interfered with in a noisy environment, resulting in misrecognition or unavailability. When it is inconvenient to operate with both hands, entering the password will also be inconvenient. Moreover, with only one unlocking method, the user will not be able to quickly unlock the vehicle when the password is lost and the voice cannot be used. In addition, different users have different usage habits and preferences. If the system only supports a single unlocking method, some users may feel uncomfortable or dissatisfied. Summary of the invention

[0005] The purpose of the present invention is to provide a dual unlocking luminous B-pillar trim to solve the problem proposed in the above-mentioned background technology that only relies on one unlocking method without combining other unlocking means, and in a noisy environment, voice unlocking may be interfered with, resulting in misrecognition or unavailability, and when it is inconvenient to operate with both hands, it is also inconvenient to enter the password.

[0006] To achieve the above-mentioned objectives, the present invention provides the following technical solutions: a double-unlocking luminous B-pillar trim, comprising a plate body, the plate body is fixedly mounted on the B-pillar of a vehicle, a protective film is fixedly mounted on one side of the plate body, a password board is fixedly mounted inside the plate body, the protective film covers the surface of the password board, a voice recognition device is fixedly mounted on one side of the plate body, an MCU chip is fixedly connected to the top of the voice recognition device, a light group is fixedly mounted on the top of the plate body, the voice recognition device is connected in series with the MCU chip, a data cable is fixedly connected to the wiring terminal of the voice recognition device, a plug is fixedly mounted on the other end of the data cable, and the voice recognition device is connected in parallel to the vehicle's power system via the set data cable.

[0007] Preferably, a first extension piece is fixedly installed at the edge of the plate body, the first extension piece is located at the intersection of the plate body and the B-pillar, and a second extension piece is fixedly connected to the bottom of the plate body, the second extension piece is located at the intersection of the plate body and the vehicle body.

[0008] Preferably, the voice recognition device uses a voice unlocking system, which includes a voice recognition module, a vehicle control module and a user interaction module; The voice recognition module is used to recognize the voice command used to capture the driver and recognize the driver's voice command, convert the user's voice signal into a digital signal, and can record voice samples at the same time; The vehicle control module is used to control the vehicle state according to the voice command recognized by the voice recognition module, and to turn on the vehicle anti-theft system after the voice recognition module fails; The user interaction module is used for the user to set various options of the voice recognition device, and different users can also log in to change and adjust the voice information.

[0009] Preferably, the speech recognition module includes a microphone array unit and a speech recognition unit; The microphone array unit is used to collect the speaker's voice sample and capture the user's voice command using a high-quality microphone device; The speech recognition unit is used to process speech signals, convert digital signals into understandable language information, and pre-process the speech signals, including noise elimination, speech enhancement, and endpoint detection, to improve the quality of the speech signals, and send corresponding commands to the vehicle control module based on the instructions recognized by the speech.

[0010] Preferably, the speech recognition unit further comprises the following steps: S151, activating the system. The user activates the voice unlocking system through a specific wake-up word, and the system enters a standby state, ready to receive and execute voice commands; S152, receiving a command, the system receives a voice command through a microphone array unit; S153, voice recognition, the user says the command "open the door", the MCU chip converts the user's voice command into machine-understandable text and performs semantic understanding; S154, language processing, converting the user's natural language instructions into machine-executable instructions; S155, command parsing, checking whether the command is a valid "open door" command, and performing identity authentication at the same time, after the command takes effect, issuing a door opening command to the vehicle control module to control the door lock to open; S156, security verification, for each door opening command, security verification is performed to ensure that only authorized users can open the door through voice commands, identity authentication is achieved through voiceprint recognition technology, and double unlocking and verification is achieved in combination with the password board according to actual needs; S157, result feedback: after receiving the command, timely and effective feedback is given through the light group to let the user know the operation result.

[0011] Preferably, in step 156, the identity authentication by voiceprint recognition technology includes a data collection and preprocessing module, a feature extraction module, a voiceprint modeling module and a voiceprint comparison and verification module; The data acquisition and preprocessing module is used for noise elimination, voice enhancement, endpoint detection, accurately identifying the beginning and end of the voice signal, suppressing road noise and engine noise, and processing non-standard pronunciation, speech speed and intonation changes, converting voice into machine-executable instructions; The feature extraction module is used to convert the audio signal into voiceprint feature extraction, and at the same time extract effective features representing the speaker's identity from the preprocessed voice signal; The voiceprint modeling module is used to process the user's voiceprint features and generate a voiceprint model; The voiceprint comparison and verification module is used to compare the voiceprint model generated by the voiceprint modeling module with the voiceprint models in the library, and to determine which voiceprint model in the model library best matches the speech sample to be recognized by calculating the similarity or probability value, and to determine the recognition result according to the set threshold. If the similarity exceeds the threshold, it is considered to be the same speaker.

[0012] Preferably, the vehicle control module includes a command execution unit and an action execution unit; The execution command unit is used to connect with the vehicle control system, and is used to receive and execute the door opening command issued by the voice recognition unit; The action execution unit is connected to the vehicle door lock control system and is used to execute the door opening action.

[0013] Preferably, the user interaction module includes a voice feedback unit and a personalized setting unit; The voice feedback unit is used to feedback the door opening status through sound and visual means, and the visual means is completed by the light group; The personalization setting unit is used for users to customize wake-up words and voice feedback styles. Users enter voiceprints through specified passwords or phrases. The system repeatedly collects user voices and extracts features, and uses the extracted features to train voiceprint recognition models.

[0014] Preferably, the method of using the extracted features to train the voiceprint recognition model further comprises the following steps: During the training process, the voiceprint features are divided into a training set and a test set. The model is trained on the training set, and the performance of the model is evaluated on the test set. The training models include but are not limited to Gaussian mixture models, hidden Markov models, support vector machines and neural networks. The trained models are combined into voiceprint templates and stored in the database.

[0015] Preferably, the voiceprint features in the voiceprint modeling module and the personalized setting unit collect the user's voice and extract features including pitch contour, formant frequency, linear prediction coefficient, and Mel-frequency cepstral coefficient.

[0016] Compared with the prior art, the present invention has the following beneficial effects: 1. In the present invention, a double-unlockable and luminous decorative panel is provided on the B-pillar, and the panel body of the decorative panel is installed on the B-pillar of the vehicle through a first extension piece and a second extension piece. This structure can ensure the structural stability of the panel body. When in use, the user can open the door through a voice recognition device and a password board. When it is inconvenient to operate with both hands, the car can be opened through a voice recognition device. When the environment is noisy or the surrounding light is dim, the password can be manually entered on the password board to unlock the door.

[0017] 2. In the present invention, the voice recognition module in the voice unlocking system can recognize the user's voice commands in real time, provide quick response, improve user experience, support a variety of spoken sentences and commands, make user interaction more natural, and have high flexibility. Through noise suppression and signal processing technology, it can ensure accurate recognition in complex environments. It can be combined with voiceprint recognition technology to verify the user's identity to avoid misoperation or safety risks. It supports remote voice control, so that users can unlock the car door by voice within a certain range, thereby improving convenience.

[0018] 3. In the present invention, the data acquisition and preprocessing module removes environmental noise through noise reduction and filtering technologies, enhances the clarity of voice signals, ensures the quality of data for subsequent processing, converts voice signals from different sources into a unified format, ensures data consistency, and facilitates subsequent processing and analysis. The voiceprint comparison and verification module creates a user-specific voiceprint model based on the extracted features to ensure that the recognition system accurately reflects the unique voice characteristics of each user. By constructing a unique voiceprint model, the security of the system is increased, the possibility of forgery and attack is reduced, the captured voiceprint is quickly compared with the template in the database, the response speed is improved, the user experience is guaranteed, and various algorithms are used to achieve high-accuracy voiceprint matching and recognition, ensuring that the false recognition rate and missed recognition rate remain at a low level. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 A side view of a double unlockable luminous B-pillar trim panel of the present invention; Figure 2 A front view of a double unlocking luminous B-pillar trim panel of the present invention; Figure 3 A rear view of a double unlockable luminous B-pillar trim panel according to the present invention; Figure 4 A block diagram of a voice unlocking system used for a dual unlocking luminous B-pillar trim panel of the present invention; Figure 5 A block diagram of a voice recognition unit of a voice unlocking system used for a dual unlocking luminous B-pillar trim panel of the present invention; Figure 6 The present invention is a safety verification flow chart of a voice unlocking system used in a dual unlocking luminous B-pillar trim.

[0020] In the figure: 1. Board; 2. Protective film; 3. First extension sheet; 4. Second extension sheet; 5. Data cable; 6. Plug; 7. Password board; 8. Voice recognition device; 9. MCU chip; 10. Light group; 11. Voice recognition module; 12. Vehicle control module; 13. User interaction module; 14. Microphone array unit; 15. Voice recognition unit; 16. Execution command unit; 17. Action execution unit; 18. Voice feedback unit; 19. Personalization setting unit; 20. Data acquisition and preprocessing module; 21. Feature extraction module; 22. Voiceprint modeling module; 23. Voiceprint comparison and verification module. DETAILED DESCRIPTION

[0021] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the implementation regulations described are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0022] Example 1: Reference Figure 1 , Figure 2 and Figure 3 As shown: a double unlocking luminous B-pillar trim, including a plate body 1, the plate body 1 is fixedly installed on the B-pillar of the vehicle, a protective film 2 is fixedly installed on one side of the plate body 1, a password board 7 is fixedly installed inside the plate body 1, the protective film 2 covers the surface of the password board 7, a voice recognition device 8 is fixedly installed on one side of the plate body 1, an MCU chip 9 is fixedly connected to the top of the voice recognition device 8, a light group 10 is fixedly installed on the top of the plate body 1, the voice recognition device 8 is connected in series with the MCU chip 9, a data line 5 is fixedly connected to the wiring terminal of the voice recognition device 8, a plug 6 is fixedly installed on the other end of the data line 5, the voice recognition device 8 is connected in parallel to the vehicle's power system through the set data line 5, a first extension piece 3 is fixedly installed at the edge of the plate body 1, the first extension piece 3 is located at the junction of the plate body 1 and the B-pillar, and a second extension piece 4 is fixedly connected to the bottom of the plate body 1, and the second extension piece 4 is located at the junction of the plate body 1 and the vehicle body.

[0023] In this embodiment, the plate body 1 is installed on the B-pillar of the vehicle through the first extension piece 3 and the second extension piece 4. This structure can ensure the structural stability of the plate body 1. When in use, the user can open the door through the voice recognition device 8 and the password board 7. When it is inconvenient to operate with both hands, the car can be opened through the voice recognition device 8. When the environment is noisy or the surrounding lights are dim, the password can be manually entered on the password board 7 to unlock; The voice recognition device 8 is connected in series with the MCU chip 9, which is a single-chip microcomputer. After the voice recognition device 8 recognizes the voice, the MCU chip 9 calculates and determines whether to open the door based on the calculation result. The voice recognition device 8 is connected to the data line 5, and the plug 6 at the other end of the data line 5 is inserted into the circuit system of the vehicle. The light group 10 is used to feedback the recognition result of the voice recognition device 8. The light group 10 and the input area of ​​the password board 7 are hidden under the protective film 2. The wear resistance of the protective film 2 is good, and no matter how the password input area is rubbed, it will not cause damage to the trim.

[0024] Embodiment 2: According to Figure 4 As shown, the voice recognition device 8 uses a voice unlocking system, which includes a voice recognition module 11, a vehicle control module 12 and a user interaction module 13; The voice recognition module 11 is used to recognize the voice command for capturing the driver and recognizing the driver's voice command, converting the user's voice signal into a digital signal, and recording the voice sample; The vehicle control module 12 is used to control the vehicle state according to the voice command recognized by the voice recognition module 11, and to activate the vehicle anti-theft system after the voice recognition module 11 fails; The user interaction module 13 is used for the user to set various options of the voice recognition device 8, and can also log in different users to change and adjust the voice information; The speech recognition module 11 includes a microphone array unit 14 and a speech recognition unit 15; The microphone array unit 14 is used to collect the speaker's voice sample and capture the user's voice command using a high-quality microphone device; The speech recognition unit 15 is used to process the speech signal, convert the digital signal into understandable language information, and pre-process the speech signal, including noise elimination, speech enhancement, and endpoint detection, to improve the quality of the speech signal, and send corresponding commands to the vehicle control module 12 according to the instructions recognized by the speech; The vehicle control module 12 includes an execution command unit 16 and an action execution unit 17; The execution command unit 16 is used to connect with the vehicle control system, and is used to receive and execute the door opening command issued by the voice recognition unit 15; The action execution unit 17 is connected to the door lock control system and is used to execute the door opening action; The user interaction module 13 includes a voice feedback unit 18 and a personalization setting unit 19; The voice feedback unit 18 is used to feedback the door opening status through sound and visual means, and the visual means is completed by the light group 10; The personalization setting unit 19 is used for the user to customize the wake-up word and voice feedback style. The user enters the voiceprint through the specified password or phrase. The system repeatedly collects the user's voice and extracts features, and uses the extracted features to train the voiceprint recognition model; Using the extracted features to train the voiceprint recognition model also includes the following steps: During the training process, the voiceprint features are divided into a training set and a test set. The model is trained on the training set, and the performance of the model is evaluated on the test set. The training models include but are not limited to Gaussian mixture models, hidden Markov models, support vector machines and neural networks. The trained models are combined into voiceprint templates and stored in the database.

[0025] In this embodiment, the voice recognition module 11 in the voice unlocking system can recognize the user's voice command in real time, provide quick response, improve user experience, support a variety of colloquial sentences and commands, make user interaction more natural, and have high flexibility. Through noise suppression and signal processing technology, it can ensure accurate recognition in complex environments. It can be combined with voiceprint recognition technology to verify the user's identity to avoid misoperation or security risks. It supports remote voice control, so that users can unlock the door by voice within a certain range, which improves convenience. The vehicle control module 12 realizes the connection between voice commands and the vehicle system, so that the owner can easily control the opening and closing of the door by voice. The user interaction module 13 provides the user with an intuitive information interaction interface through a display screen or voice prompts, enhances the user experience, supports multiple operation modes such as voice and touch, and the user can choose according to his or her own habits to improve convenience. It allows the user to customize voice commands and feedback to make the system more in line with user needs.

[0026] Embodiment 3: According to Figure 5 and Figure 6 As shown, the speech recognition unit 15 further comprises the following steps: Step 1: Activate the system. The user activates the voice unlocking system through a specific wake-up word. The system enters standby mode, ready to receive and execute voice commands. Step 2: receiving commands, the system receives voice commands through the microphone array unit 14; Step 3: Voice recognition: the user says the command "open the door", and the MCU chip 9 converts the user's voice command into machine-understandable text and performs semantic understanding; Step 4: Language processing, converting the user's natural language instructions into machine-executable instructions; Step 5: command analysis, checking whether the command is a valid "open door" command, and performing identity authentication. After the command takes effect, a door opening command is issued to the vehicle control module 12 to control the door lock to open; Step 6: Security verification: For each door opening command, security verification is performed to ensure that only authorized users can open the door through voice commands. Identity verification is achieved through voiceprint recognition technology, and double unlocking and verification is performed in combination with the password board 7 according to actual needs; Step 7: Result feedback: after receiving the command, the light group 10 provides timely and effective feedback to let the user know the operation result; In step six, the identity authentication is realized by voiceprint recognition technology including a data collection and preprocessing module 20, a feature extraction module 21, a voiceprint modeling module 22 and a voiceprint comparison and verification module 23; The data acquisition and preprocessing module 20 is used for noise elimination, voice enhancement, endpoint detection, accurately identifying the beginning and end of the voice signal, suppressing road noise and engine noise, and processing non-standard pronunciation, speech speed and intonation changes, converting the voice into machine-executable instructions; The feature extraction module 21 is used to convert the audio signal into voiceprint feature extraction, and extract effective features representing the speaker's identity from the preprocessed voice signal; The voiceprint modeling module 22 is used to process the voiceprint features of the user and generate a voiceprint model; The voiceprint comparison and verification module 23 is used to compare the voiceprint model generated by the voiceprint modeling module 22 with the voiceprint models in the library, and to determine which voiceprint model in the model library best matches the speech sample to be recognized by calculating the similarity or probability value, and to determine the recognition result according to the set threshold. If the similarity exceeds the threshold, it is considered to be the same speaker; The voiceprint features in the voiceprint modeling module 22 and the personalization setting unit 19 collect the user's voice and extract features including pitch contour, formant frequency, linear prediction coefficient, and Mel-frequency cepstral coefficient.

[0027] In this embodiment, the data acquisition and preprocessing module 20 removes environmental noise through noise reduction and filtering technologies, enhances the clarity of the voice signal, ensures the quality of data for subsequent processing, converts voice signals from different sources into a unified format, ensures data consistency, and facilitates subsequent processing and analysis. The feature extraction module 21 extracts key features from the original voice signal, effectively compresses the data volume, reduces storage and processing costs, and improves efficiency. The voiceprint modeling module 22 extracts representative features of MFCC Mel-frequency cepstral coefficients and PLP perceptual linear prediction to improve the system's adaptability to different pronunciations, accents, and background noises, converts the sound signal into a processable feature vector, facilitates subsequent modeling and comparison, and enhances the accuracy of recognition. The voiceprint comparison and verification module 23 creates a user-specific voiceprint model based on the extracted features to ensure that the recognition system accurately reflects the unique voice characteristics of each user. By constructing a unique voiceprint model, the security of the system is increased, the possibility of forgery and attack is reduced, the captured voiceprint is quickly compared with the template in the database, the response speed is improved, and the user experience is guaranteed. Various algorithms are used to achieve high-accuracy voiceprint matching and recognition, ensuring that the false recognition rate and missed recognition rate remain at a low level.

[0028] The method of using the device and the working principle: When in use, the user can open the car door through the voice recognition device 8 and the password board 7. When it is inconvenient to operate with both hands, the car can be opened through the voice recognition device 8. When the environment is noisy or the surrounding lights are dim, the password can be manually entered on the password board 7 to unlock; The voice recognition device 8 uses a voice unlocking system. The voice recognition module 11 in the voice unlocking system can recognize the user's voice command in real time, provide fast response, improve user experience, and support a variety of colloquial sentences and commands. The data acquisition and preprocessing module 20 removes environmental noise through noise reduction and filtering technologies, and converts voice signals from different sources into a unified format. The feature extraction module 21 extracts key features from the original voice signal. The voiceprint modeling module 22 converts the sound signal into a processable feature vector by extracting representative features of MFCC Mel-frequency cepstral coefficients and PLP perceptual linear prediction. The voiceprint comparison and verification module 23 creates a user-specific voiceprint model based on the extracted features to ensure that the recognition system accurately reflects the unique voice characteristics of each user, and uses various algorithms to achieve high-accuracy voiceprint matching and recognition, ensuring that the false recognition rate and missed recognition rate remain at a low level. The vehicle control module 12 realizes the connection between the voice command and the vehicle system, so that the owner can easily control the opening and closing of the door by voice; The user interaction module 13 provides users with an intuitive information interaction interface through a display screen or voice prompts, enhances user experience, supports multiple operation modes such as voice and touch, and users can choose according to their own habits to improve convenience. It allows users to customize voice commands and feedback to make the system more in line with user needs.

[0029] Although the present invention has been described in detail with reference to the aforementioned embodiments, it is still possible for those skilled in the art to modify the technical solutions described in the aforementioned embodiments, or to make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A dual unlockable luminous B-pillar trim panel, comprising a panel body (1), wherein the panel body (1) is fixedly mounted on a vehicle B-pillar, and is characterized in that: A protective film (2) is fixedly mounted on one side of the board body (1), a password board (7) is fixedly mounted inside the board body (1), the protective film (2) covers the surface of the password board (7), a voice recognition device (8) is fixedly mounted on one side of the board body (1), an MCU chip (9) is fixedly connected to the top of the voice recognition device (8), a light-emitting lamp group (10) is fixedly mounted on the top of the board body (1), the voice recognition device (8) and the MCU chip (9) are connected in series, a data line (5) is fixedly connected to a connection terminal of the voice recognition device (8), a plug (6) is fixedly mounted on the other end of the data line (5), and the voice recognition device (8) is connected in parallel to the power system of the vehicle via the provided data line (5).

2. The dual unlocking luminous B-pillar trim according to claim 1, characterized in that: A first extension piece (3) is fixedly mounted at the edge of the plate body (1), the first extension piece (3) being located at the junction of the plate body (1) and the B-pillar, and a second extension piece (4) is fixedly connected to the bottom of the plate body (1), the second extension piece (4) being located at the junction of the plate body (1) and the vehicle body.

3. The double unlocking luminous B-pillar trim according to claim 1, characterized in that: The voice recognition device (8) uses a voice unlocking system, which includes a voice recognition module (11), a vehicle control module (12) and a user interaction module (13); The speech recognition module (11) is used to recognize and capture the driver's voice commands and recognize the driver's voice commands, convert the user's voice signal into a digital signal, and can record voice samples at the same time; The vehicle control module (12) is used to control the vehicle state according to the voice command recognized by the voice recognition module (11), and to activate the vehicle anti-theft system after the voice recognition module (11) fails; The user interaction module (13) is used for the user to set various options of the voice recognition device (8), and different users can also log in to change and adjust voice information.

4. The double unlocking luminous B-pillar trim according to claim 3, characterized in that: The speech recognition module (11) comprises a microphone array unit (14) and a speech recognition unit (15); The microphone array unit (14) is used to collect a speaker's voice sample and capture a user's voice command using a high-quality microphone device; The speech recognition unit (15) is used to process speech signals, convert digital signals into understandable language information, and pre-process the speech signals, including noise elimination, speech enhancement, and endpoint detection, to improve the quality of the speech signals, and send corresponding commands to the vehicle control module (12) according to the instructions recognized by the speech.

5. The double unlocking luminous B-pillar trim according to claim 4, characterized in that: The speech recognition unit (15) further comprises the following steps: S151, activating the system. The user activates the voice unlocking system through a specific wake-up word, and the system enters a standby state, ready to receive and execute voice commands; S152, receiving a command, the system receives a voice command via the microphone array unit (14); S153, voice recognition, the user says the command "open the car door", and the MCU chip (9) converts the user's voice command into machine-understandable text and performs semantic understanding; S154, language processing, converting the user's natural language instructions into machine-executable instructions; S155, command parsing, checking whether the command is a valid "open door" command, and performing identity verification at the same time, after the command takes effect, issuing a door opening command to the vehicle control module (12), and controlling the door lock to open; S156, security verification, for each door opening command, security verification is performed to ensure that only authorized users can open the door through voice commands, identity authentication is achieved through voiceprint recognition technology, and according to actual needs, it is used in conjunction with the password board (7) to achieve double unlocking and verification; S157, result feedback: after receiving the command, timely and effective feedback is given through the light assembly (10) to let the user know the operation result.

6. The double unlocking luminous B-pillar trim according to claim 5, characterized in that: In step 156, the method of implementing identity authentication through voiceprint recognition technology includes a data collection and preprocessing module (20), a feature extraction module (21), a voiceprint modeling module (22) and a voiceprint comparison and verification module (23); The data acquisition and preprocessing module (20) is used for noise elimination, voice enhancement, endpoint detection, accurately identifying the beginning and end of the voice signal, suppressing road noise and engine noise, and processing non-standard pronunciation, speech speed and intonation changes, and converting the voice into machine-executable instructions; The feature extraction module (21) is used to convert the audio signal into voiceprint feature extraction, and at the same time extract effective features representing the speaker's identity from the preprocessed voice signal; The voiceprint modeling module (22) is used to process the voiceprint features of the user and generate a voiceprint model; The voiceprint comparison and verification module (23) is used to compare the voiceprint model generated by the voiceprint modeling module (22) with the voiceprint models in the library, and to determine which voiceprint model in the model library best matches the speech sample to be recognized by calculating the similarity or probability value, and to determine the recognition result according to a set threshold value. If the similarity exceeds the threshold value, it is considered that they are the same speaker.

7. The double unlocking luminous B-pillar trim according to claim 3, characterized in that: The vehicle control module (12) comprises a command execution unit (16) and an action execution unit (17); The execution command unit (16) is used to connect to the vehicle control system and is used to receive and execute the door opening command issued by the voice recognition unit (15); The action execution unit (17) is connected to the vehicle door lock control system and is used to execute the door opening action.

8. The dual unlocking luminous B-pillar trim according to claim 3, characterized in that: The user interaction module (13) comprises a voice feedback unit (18) and a personalization setting unit (19); The voice feedback unit (18) is used to provide feedback on the door opening status through sound and visual means, and the visual means is provided by the light-emitting lamp group (10); The personalization setting unit (19) is used for the user to customize the wake-up word and voice feedback style. The user enters the voiceprint through a specified password or phrase. The system repeatedly collects the user's voice and extracts features, and uses the extracted features to train the voiceprint recognition model.

9. The double unlocking luminous B-pillar trim according to claim 3, characterized in that: The method of using the extracted features to train the voiceprint recognition model further comprises the following steps: During the training process, the voiceprint features are divided into a training set and a test set. The model is trained on the training set, and the performance of the model is evaluated on the test set. The training models include but are not limited to Gaussian mixture models, hidden Markov models, support vector machines and neural networks. The trained models are combined into voiceprint templates and stored in the database.

10. The double unlocking luminous B-pillar trim according to claim 8, characterized in that: The voiceprint features and personalization setting unit (19) in the voiceprint modeling module (22) collect the user's voice and extract features including fundamental pitch contour, formant frequency, linear prediction coefficient, and Mel-frequency cepstral coefficient.

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