A voice control system and method for in-vehicle atmosphere lights based on SOA

Abstract

This invention provides a voice control system and method for in-vehicle ambient lighting based on SOA. The system includes a voice recognition module, an SOA adapter module, an SOA gateway module, an ambient lighting control unit, and a data transmission and synchronization unit. The voice recognition module acquires user voice and converts it into text commands. The SOA adapter module acts as a bridge between the voice recognition module and the SOA gateway module, converting text commands into service requests conforming to SOA architecture standards. The SOA gateway module is used for service request protocol conversion, achieving seamless cross-system integration. The ambient lighting control unit controls the state of the ambient lights. The data transmission and synchronization unit acts as the data transmission hub for all modules, enabling fast and reliable data transmission. This system is easy to operate, has low maintenance costs, and high scalability, effectively solving the problem of the lack of intelligent and personalized voice control functions in existing ambient lighting control systems.

Description

Technical Field

[0001] This invention relates to the field of in-vehicle lighting control technology, and in particular to an in-vehicle ambient lighting voice control system and method based on SOA. Background Technology

[0002] With the continuous development of society and the improvement of people's living standards, automobiles have become increasingly popular as a means of transportation. In the automotive industry, people have increasingly higher requirements for the safety, functionality, and comfort of cars, thus placing greater emphasis on the passenger experience. Ambient lighting, as a type of decorative lighting tool for car interiors, makes the cabin more vibrant, enhances the driving experience, and creates a warm atmosphere. Currently, vehicle voice control mainly focuses on functions such as in-car navigation, cruise control, and air conditioning; voice control technology for ambient lighting has not yet made significant progress.

[0003] In existing technologies, most ambient lighting control systems on the market rely on physical buttons, touchscreens, or preset modes, lacking intelligent and personalized voice control functions. Furthermore, traditional systems often suffer from poor scalability and high maintenance costs. Summary of the Invention

[0004] In view of the above problems, this invention provides an in-vehicle ambient lighting voice control system and method based on SOA, which can improve the level of vehicle intelligence and meet diverse user needs. At the same time, this invention integrates advanced voice recognition technology, SOA architecture design, efficient data processing and transmission mechanisms, and intelligent ambient lighting control algorithms, resulting in low maintenance costs and high scalability.

[0005] On one hand, the present invention provides an SOA-based voice control system for in-vehicle ambient lighting, the system comprising: a voice recognition module, an SOA adapter module, an SOA gateway module, an ambient lighting control unit, and a data transmission and synchronization unit.

[0006] The speech recognition module uses a speech recognition model trained with deep learning technology, which can recognize multiple languages, accents and complex instructions, and is used to recognize user voice information and convert it into text instructions.

[0007] The SOA adapter module, acting as a bridge between the voice recognition module and the SOA gateway, converts text commands into service requests that conform to the SOA architecture standard. It also performs interface conversion, converting the service requests into a format that the SOA gateway module can recognize, ensuring accurate information transmission.

[0008] The SOA gateway module is used for routing and protocol conversion. Based on the content of the service request, it forwards the request to the ambient light control unit. It also has load balancing and failover functions to ensure the stable operation of the system under high concurrency requests and to automatically transfer the request to the backup unit when some service units fail.

[0009] The ambient light control unit parses the specific control parameters according to the received service request, and adjusts the state of the ambient light accordingly.

[0010] The data transmission and synchronization unit serves as a high-speed and reliable data transmission channel between various components, ensuring the real-time transmission of information and the consistency and integrity of the information.

[0011] Furthermore, the voice recognition module, SOA adapter module, SOA gateway module, and ambient light control unit are electrically connected to the gateway through the data transmission and synchronization unit, thereby enabling fast and reliable data transmission.

[0012] Specifically, the speech recognition module includes a high-sensitivity microphone array and a speech recognition engine; the high-sensitivity microphone array is used to capture user speech; the speech recognition engine is used to convert user speech into text commands and to initially determine the intent and context information of the commands.

[0013] Specifically, the SOA adapter module includes an instruction parser and an SOA adapter. The instruction parser is used to parse the specific content and parameters of the text instruction; the SOA adapter is used to convert the parsed text instruction into a service request format that conforms to the SOA architecture standard.

[0014] Furthermore, the SOA adapter module also has a service encapsulation function. Through the internal interface connection between the instruction parser and the SOA adapter, the ambient light control-related functions are split into independent service units and encapsulated through standardized interfaces, including: color adjustment service, brightness adjustment service, and dynamic effect service, etc.

[0015] Specifically, the SOA gateway module is used for protocol conversion to achieve seamless cross-system integration. Specifically, it forwards the service request content in a recognizable format to the corresponding ambient light control unit.

[0016] Specifically, the ambient light control unit receives protocol conversion instructions from the SOA gateway module and parses these instructions into specific control parameters. These parameters are then used to adjust the ambient light's state. The control unit includes a high-performance microprocessor, an LED driver, and RGB LEDs. The high-performance microprocessor parses the instructions into specific control parameters and issues execution commands to the LED driver, thereby adjusting the color, brightness, and dynamic effects of the RGB LEDs. The control unit also includes a feedback mechanism. The high-performance microprocessor acquires the current state information of the ambient light and provides real-time feedback to the SOA gateway module or upper-layer applications for further monitoring or optimization.

[0017] Specifically, the data transmission and synchronization unit is a data transmission channel, which includes an in-vehicle Ethernet and a synchronization mechanism. The in-vehicle Ethernet is used for data transmission between various modules and units to ensure the real-time transmission of voice commands, service requests and response information. The synchronization mechanism includes a timestamp generator and a serial number manager to ensure the consistency and integrity of data during transmission through timestamps, serial numbers and other methods, and to avoid information loss or corruption.

[0018] On the one hand, the present invention provides a voice control method for in-vehicle ambient lighting based on SOA, comprising the following steps:

[0019] Step S1: The speech recognition module recognizes the user's speech and converts it into text commands. At the same time, it parses the context information of the text commands and makes a preliminary intent judgment, and then transmits the parsed text commands to the SOA adapter module.

[0020] Step S2: The SOA adapter module will further parse the received and parsed text instructions to obtain the specific content and parameters of the text instructions, and encapsulate the specific content and parameters, convert them into data that conforms to the standard service request format of SOA architecture, and pass them to the SOA gateway module.

[0021] Step S3: The SOA gateway module acquires and identifies the data, converts the data into a communication protocol, and transmits it to the ambient light control unit;

[0022] Step S4: The ambient light control unit parses the received communication protocol to obtain specific control parameters, adjusts the state of the ambient light according to the control parameters, and feeds back the current state information of the ambient light to the SOA gateway module for further monitoring and optimization of the ambient light.

[0023] Furthermore, in step S1, the speech recognition module recognizes the user's speech and converts it into text commands, while simultaneously parsing the contextual information of the text commands and making a preliminary intent judgment, specifically including:

[0024] The user's speech is converted into text, and the text is processed by deep learning using a Long Short-Term Memory (LSTM) network and a convolutional neural network to extract the voice commands from the user's speech.

[0025] The semantic interpretation and intent recognition of voice commands are performed using a recurrent neural network (RNN) to obtain the results.

[0026] Furthermore, in step S2, the standard service request format of the SOA architecture is specifically the data structure transmitted in the service interface, which includes a data name and a data type.

[0027] Furthermore, in step S4, the ambient light control unit parses the received communication protocol to obtain specific control parameters, including: color code, brightness value, and dynamic effect mode.

[0028] The beneficial effects of this invention are as follows:

[0029] 1. By controlling the ambient lighting in the car via voice, the driver does not need to be distracted by operating physical buttons or touchscreens, thus improving driving safety. In addition, users can achieve precise, efficient, and personalized voice control of the ambient lighting in the car according to their personal preferences and needs, allowing them to freely adjust the color, brightness, and dynamic effects of the ambient lighting to create a unique riding environment and meet the personalized and diverse needs of users.

[0030] 2. The SOA-based architecture makes the system easy to expand and maintain, and can easily integrate more intelligent control functions and services. At the same time, it adopts advanced voice recognition technology, efficient data processing and transmission mechanisms, and intelligent ambient lighting control algorithms to ensure the system's fast response and stable operation.

[0031] Other features and advantages of the invention will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures pointed out in the description, claims and drawings. Attached Figure Description

[0032] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0033] Figure 1 This diagram illustrates the structure of a voice control system for in-vehicle ambient lighting based on SOA.

[0034] Figure 2 This diagram illustrates a flow chart of a voice control method for in-vehicle ambient lighting based on SOA. Detailed Implementation

[0035] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0036] To make ambient lighting design more practical, this invention provides an in-vehicle ambient lighting voice control system and method based on SOA, which can help drivers simplify their daily routines under a busy lifestyle, bring an intuitive experience, and make life more convenient, comfortable, and technologically advanced.

[0037] In this embodiment, an SOA-based voice control system for in-vehicle ambient lighting is provided, such as... Figure 1 As shown, the system includes: a voice recognition module, an SOA adapter module, an SOA gateway module, an ambient light control unit, and a data transmission and synchronization unit;

[0038] The speech recognition module employs a speech recognition model trained using deep learning technology, capable of recognizing multiple languages, accents, and complex commands. It is used to recognize user voice information and convert it into text commands.

[0039] Furthermore, the speech recognition module includes a high-sensitivity microphone array and a speech recognition engine; the high-sensitivity microphone array is used to ensure accurate capture of user speech in different noise environments; the speech recognition engine is used to convert user speech into text commands and to initially determine the intent and context information of the commands.

[0040] The SOA adapter module acts as a bridge between the voice recognition module and the SOA gateway, converting text commands into service requests that conform to the SOA architecture standard. At the same time, it also performs interface conversion, converting service requests into a format that the SOA gateway module can recognize, ensuring accurate information transmission.

[0041] Furthermore, the SOA adapter module includes an instruction parser and an SOA adapter. The instruction parser is used to parse the specific content and parameters of the text instruction; the SOA adapter is used to convert the parsed text instruction into a service request format that conforms to the SOA architecture standard.

[0042] Furthermore, the SOA adapter module also has a service encapsulation function. Through the internal interface connection between the instruction parser and the SOA adapter, the ambient light control-related functions are split into independent service units and encapsulated through standardized interfaces, including: color adjustment service, brightness adjustment service, and dynamic effect service.

[0043] The SOA gateway module is used for routing and protocol conversion. Based on the content of the service request, it forwards the request to the ambient light control unit. It also has load balancing and failover functions to ensure the stable operation of the system under high concurrency requests and automatically transfers the request to the backup unit when some service units fail.

[0044] Furthermore, the SOA gateway module is also used for protocol conversion to achieve seamless cross-system integration. Specifically, it forwards the service request content in a recognizable format to the corresponding ambient light control unit.

[0045] The ambient light control unit parses the specific control parameters according to the received service request, and adjusts the state of the ambient light accordingly.

[0046] Furthermore, the ambient light control unit receives protocol conversion instructions from the SOA gateway module and parses these instructions into specific control parameters. These control parameters are then used to adjust the ambient light's state. The ambient light control unit includes a high-performance microprocessor, an LED driver, and RGB LEDs. The high-performance microprocessor parses the instructions into specific control parameters and issues execution commands to the LED driver, thereby adjusting the color, brightness, and dynamic effects of the RGB LEDs. The ambient light control unit also includes a feedback mechanism. The high-performance microprocessor acquires the current state information of the ambient light and provides real-time feedback to the SOA gateway module or upper-layer applications for further monitoring or optimization.

[0047] The data transmission and synchronization unit serves as a high-speed and reliable data transmission channel between various components, ensuring the real-time transmission of information and the consistency and integrity of the information.

[0048] Furthermore, the data transmission and synchronization unit includes an in-vehicle Ethernet and a synchronization mechanism. The in-vehicle Ethernet is used for data transmission between various modules and units to ensure the real-time transmission of voice commands, service requests, and response information. The synchronization mechanism includes a timestamp generator and a serial number manager to ensure the consistency and integrity of data during transmission through timestamps, serial numbers, and other methods, avoiding information loss or corruption.

[0049] The voice recognition module, SOA adapter module, SOA gateway module, and ambient light control unit are electrically connected to the gateway through the data transmission and synchronization unit, which enables fast and reliable data transmission.

[0050] This embodiment also provides a control method for an in-vehicle ambient lighting voice control system based on SOA, as described above. Please refer to [link to relevant documentation]. Figure 2 The control method includes the following steps:

[0051] Step S1: The speech recognition module recognizes the user's speech and converts it into text commands. At the same time, it parses the context information of the text commands and makes a preliminary intent judgment, and then transmits the parsed text commands to the SOA adapter module.

[0052] Furthermore, the speech recognition module recognizes the user's speech and converts it into text commands, while simultaneously parsing the contextual information of the text commands and making a preliminary intent judgment, specifically including:

[0053] Step S101: Convert the user's speech into text, and use a Long Short-Term Memory (LSTM) network and a convolutional neural network to perform deep learning on the text to extract the voice commands from the user's speech;

[0054] Step S102: Use a recurrent neural network (RNN) to perform semantic interpretation and intent recognition on the voice commands and obtain the results.

[0055] Step S2: The SOA adapter module will further parse the received and parsed text instructions to obtain the specific content and parameters of the text instructions, and encapsulate the specific content and parameters, convert them into data that conforms to the standard service request format of SOA architecture, and pass them to the SOA gateway module.

[0056] Furthermore, the standard service request format of the SOA architecture is specifically the data structure transmitted in the service interface, which includes the data name and data type.

[0057] Step S3: The SOA gateway module acquires and identifies the data, converts the data into a communication protocol, and transmits it to the ambient light control unit;

[0058] Step S4: The ambient light control unit parses the received communication protocol to obtain specific control parameters, adjusts the state of the ambient light according to the control parameters, and feeds back the current state information of the ambient light to the SOA gateway module for further monitoring and optimization of the ambient light.

[0059] Furthermore, the ambient light control unit parses the received communication protocol to obtain specific control parameters, including color codes, brightness values, and dynamic effect modes.

[0060] Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A voice control system for in-vehicle ambient lighting based on SOA, characterized in that: The system includes a voice recognition module, an SOA adapter module, an SOA gateway module, an ambient lighting control unit, and a data transmission and synchronization unit. The speech recognition module uses a speech recognition model trained with deep learning technology, which can recognize multiple languages, accents and complex instructions, and is used to recognize user voice information and convert it into text instructions. The SOA adapter module acts as a bridge between the voice recognition module and the SOA gateway, converting text commands into service requests conforming to SOA architecture standards. It also performs interface conversion, transforming service requests into a format recognizable by the SOA gateway module to ensure accurate information transmission. The SOA adapter module further includes an instruction parser and an SOA adapter: the instruction parser is used to parse the specific content and parameters of the text instruction; the SOA adapter is used to convert the parsed text instruction into a service request format that conforms to the SOA architecture standard. The SOA adapter module also has a service encapsulation function. Through the internal interface between the instruction parser and the SOA adapter, the ambient light control-related functions are split into independent service units and encapsulated through standardized interfaces. The SOA gateway module is used for routing and protocol conversion. Based on the content of the service request, it forwards the request to the ambient light control unit. It also has load balancing and failover functions to ensure the stable operation of the system under high concurrency requests and automatically transfer the request to the backup unit when some service units fail. The ambient light control unit parses the specific control parameters according to the received service request, and adjusts the state of the ambient light accordingly. The data transmission and synchronization unit serves as a high-speed and reliable data transmission channel between various components, ensuring the real-time transmission of information and the consistency and integrity of the information. The voice recognition module, SOA adapter module, SOA gateway module, and ambient light control unit are electrically connected to the gateway through the data transmission and synchronization unit.

2. The voice control system for in-vehicle ambient lighting based on SOA as described in claim 1, characterized in that: The speech recognition module includes a high-sensitivity microphone array and a speech recognition engine, wherein: The high-sensitivity microphone array is used to capture the user's voice; The speech recognition engine is used to convert user speech into text commands and to make a preliminary judgment on the intent and context of the commands.

3. The voice control system for in-vehicle ambient lighting based on SOA as described in claim 1, characterized in that: The ambient light control unit includes a high-performance microprocessor, an LED driver, and RGB LEDs. The high-performance microprocessor parses instructions into specific control parameters and issues execution commands to the LED driver to achieve adjustment of the color, brightness, and dynamic effects of the RGB LEDs.

4. The SOA-based voice control system for in-vehicle ambient lighting as described in claim 3, characterized in that: The ambient light control unit also includes a feedback mechanism, which obtains the current status information of the ambient light through the high-performance microprocessor and feeds it back to the SOA gateway module or upper-layer application in real time for further monitoring or optimization.

5. The voice control system for in-vehicle ambient lighting based on SOA as described in claim 1, characterized in that: The data transmission and synchronization unit is a data transmission channel, specifically including an in-vehicle Ethernet and a synchronization mechanism, wherein: The in-vehicle Ethernet is used for data transmission between various modules and units, ensuring the real-time transmission of voice commands, service requests and response information; The synchronization mechanism includes a timestamp generator and a sequence number manager, which ensure the consistency and integrity of data during transmission through timestamps and sequence numbers, and avoid information loss or corruption.

6. A voice control method for in-vehicle ambient lighting based on SOA, applied to the voice control system for in-vehicle ambient lighting based on SOA as described in any one of claims 1 to 5, characterized in that: The speech recognition module recognizes the user's speech and converts it into text commands. At the same time, it parses the context information of the text commands and makes a preliminary determination of the intent, and then transmits the parsed text commands to the SOA adapter module. The SOA adapter module will further parse the received and parsed text instructions to obtain the specific content and parameters of the text instructions, and encapsulate the specific content and parameters, convert them into data that conforms to the standard service request format of SOA architecture, and pass them to the SOA gateway module. The SOA gateway module acquires and identifies data, converts the data into a communication protocol, and transmits it to the ambient light control unit. The ambient light control unit parses the received communication protocol to obtain specific control parameters, adjusts the state of the ambient light according to the control parameters, and feeds back the current state information of the ambient light to the SOA gateway module for further monitoring and optimization of the ambient light.

7. The voice control method for in-vehicle ambient lighting based on SOA as described in claim 6, characterized in that, The speech recognition module recognizes the user's speech and converts it into text commands. Simultaneously, it parses the context information of the text commands and performs preliminary intent determination, specifically including: The user's speech is converted into text, and the text is processed by deep learning using long short-term memory networks and convolutional neural networks to extract the voice commands from the user's speech. Recurrent neural networks are used to perform semantic interpretation and intent recognition of voice commands to obtain results.

8. The voice control method for in-vehicle ambient lighting based on SOA as described in claim 6, characterized in that: The standard service request format of the SOA architecture is specifically the data structure passed in the service interface, which includes the data name and data type.

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