An ai voice dialogue system and method based on a single communication module

Abstract

The application provides an AI voice dialogue system and method based on a single communication module, and relates to the technical field of wireless communication.The system comprises a high-integration CTL01_L_L78PM communication module, a peripheral interaction component and a cloud AI voice service platform.The communication module integrates a master control processing unit, an LTE-CAT1 standard 4G mobile communication module and a complete audio signal processing unit in a single hardware module.The audio signal processing unit integrates audio coding and decoding and echo cancellation processing functions.The peripheral interaction component is electrically connected with the communication module.The communication module establishes a full-duplex communication connection with the cloud AI voice service platform through the 4G mobile communication module.The application realizes extremely simple hardware and significant cost reduction, widens application scenarios, enhances reliability, optimizes energy efficiency and significantly improves battery life.

Description

Technical Field

[0001] This invention relates to the field of wireless communication technology, and more specifically, to an AI voice dialogue system and method based on a single communication module. Background Technology

[0002] In recent years, AI voice interaction has become a core standard feature of IoT terminals due to its natural and convenient interactive characteristics, and its downstream application scenarios continue to expand. However, with the increasing fragmentation of market demand, the industry has long faced a set of core contradictions that are difficult to balance: on the one hand, the massive number of IoT scenarios are highly sensitive to solution costs, and terminal manufacturers need to reduce material costs, development costs, and operation and maintenance costs through large-scale production in order to make their products competitive in the market; on the other hand, the functional requirements for voice interaction vary greatly among terminals in different industries and categories. For example, smart home appliances need to be adapted to dedicated device control command sets, children's toys need customized fun interactive content and wake words, and industrial terminals need to be matched with vertical domain business knowledge bases. Traditional technical solutions have always been unable to meet the dual needs of cost control and personalized customization at the same time, which directly limits the popularization of AI voice interaction technology.

[0003] Currently, existing AI voice interaction solutions in the industry mainly fall into two categories, neither of which can resolve the aforementioned contradiction: The first category is a high-performance, complex architecture solution, which adopts a separate design of "independent main control chip + high-speed communication module + external audio codec chip". It has strong functional scalability but high material costs and long development cycles, and is only suitable for high-end consumer electronic devices such as high-end smart speakers and service robots. It is difficult to cover the massive number of cost-sensitive IoT scenarios. The second category is a low-cost, simplified function solution, which adopts a dual-chip architecture of Cat.1 communication module with external audio chip. Although it reduces the basic hardware cost, the hardware compatibility is extremely poor. The personalized needs of different customers often require adjustments to the hardware circuit or redevelopment of the underlying firmware, which not only lengthens the product launch cycle but also offsets the cost advantages brought by large-scale production. In addition, existing solutions generally suffer from the problem of deep hardware and software integration: if a general standardized hardware solution is adopted, it can only provide fixed voice interaction functions and cannot match the differentiated needs of different customers; if a custom hardware solution is customized for customers, it will lead to product fragmentation, making it difficult to achieve large-scale mass production and cost reduction, ultimately forming an industry dilemma of "scaling up cannot meet personalization, and personalization cannot achieve scaling up". Summary of the Invention

[0004] The purpose of this invention is to provide an AI voice dialogue system and method based on a single communication module. It can overcome the technical problems of existing low-cost AI voice interaction solutions, which are characterized by complex hardware architecture, low integration, high overall cost, and difficulty in achieving stable and reliable voice interaction in environments without high-speed networks, due to the core functions being forced to be distributed across multiple chips. It achieves extremely simple hardware and significant cost reduction, broadens application scenarios, enhances reliability, optimizes energy efficiency, and significantly improves battery life.

[0005] The technical solution of this invention is as follows: In a first aspect, this application provides an AI voice dialogue system based on a single communication module, which includes: The highly integrated CTL01_L_L78PM communication module integrates a main control processing unit, an LTE-CAT1 standard 4G mobile communication module, and a complete audio signal processing unit within a single hardware module. The audio signal processing unit integrates audio encoding and decoding, echo cancellation processing, and realizes the integration of three core functions: network connection, voice signal processing, and device control. The peripheral interaction components are electrically connected to the highly integrated CTL01_L_L78PM communication module, including a high-sensitivity microphone for collecting user voice, a power amplifier speaker for playing response voice, and an LED indicator for indicating working status. The cloud-based AI voice service platform, with its highly integrated CTL01_L_L78PM communication module, establishes a full-duplex communication connection with the aforementioned cloud-based AI voice service platform via an LTE-CAT1 standard 4G mobile communication module. The cloud-based AI voice service platform is used to provide automatic speech recognition, natural language understanding, and text-to-speech services.

[0006] Furthermore, the software layer of the aforementioned highly integrated CTL01_L_L78PM communication module has a built-in real-time network status monitoring module. This real-time network status monitoring module is used to continuously acquire the RSRP, SINR wireless signal quality indicators and application layer transmission quality of the underlying LTE-CAT1 standard 4G mobile communication module, and dynamically adjust the encoding rate, packet frame rate and data transmission strategy of voice data based on the monitoring results. When the network quality is poor, the encoding rate is reduced and a redundant retransmission mechanism is enabled, and the encoding rate is increased when the network quality recovers.

[0007] Furthermore, the highly integrated CTL01_L_L78PM communication module has a built-in globally unified fine-grained power management unit that implements dynamic power consumption adjustment based on an integrated hardware architecture. The dynamic power consumption adjustment includes: maintaining power supply only for light network connections and low-power voice wake-up circuits in standby mode, and scheduling the operating frequency and power supply of the main control processing unit, audio signal processing unit, and RF unit as needed in interactive mode, thereby eliminating cross-chip idle power consumption and interface static power consumption under a multi-chip architecture.

[0008] Furthermore, the aforementioned cloud-based AI voice service platform is equipped with a standardized skill configuration interface and content management platform, supporting terminal manufacturers to upload custom wake words, response phrases, control command sets, and exclusive industry knowledge bases; the firmware of the highly integrated CTL01_L_L78PM communication module has a built-in lightweight, configurable command parsing engine that can dynamically adapt to custom command sets issued from the cloud, enabling functional customization without modifying the underlying hardware or core firmware.

[0009] Secondly, this application provides an AI voice dialogue method based on a single communication module, which includes the following steps: S1: Integrated Acquisition and Preprocessing: Through the audio signal processing unit integrated in the highly integrated CTL01_L_L78PM communication module, the analog-to-digital conversion, echo cancellation, noise reduction and OPUS format encoding of the user voice signal acquired by the microphone are directly completed. All processing is completed within the system architecture of a single module, without the need to transmit the original audio data across chips. S2: Adaptive Network Transmission: The module obtains the current network signal quality parameters through the built-in real-time network monitoring module, dynamically adjusts the encoding output bit rate and transmission strategy based on the parameters, and sends the compressed voice data stream to the cloud AI voice service platform through the LTE-CAT1 network. S3: Cloud-based semantic processing: The cloud-based AI voice service platform performs automatic speech recognition and natural language understanding on the received voice data in sequence, generates a text response, and then obtains the OPUS format voice response data stream through text-to-speech synthesis, which is then sent to the highly integrated CTL01_L_L78PM communication module. S4: Integrated Decoding and Playback: The highly integrated CTL01_L_L78PM communication module completes the digital-to-analog conversion of the response data stream through the integrated audio signal processing unit, and directly outputs it to the power amplifier speaker for playback. At the same time, it completes the control operation of the corresponding external device based on the parsed control commands.

[0010] Furthermore, it also includes: dynamic power management: in standby mode, the highly integrated CTL01_L_L78PM communication module only maintains power supply for the low-power wake-up circuit and the network light connection, and the main control processing unit enters sleep mode; when a wake word is detected to trigger voice interaction, the audio processing unit, communication unit and main control processing unit are woken up one by one, and each unit is automatically restored to low power state within 5 seconds after the interaction ends.

[0011] Furthermore, it also includes: terminal manufacturers upload custom configuration information through a standardized cloud interface, the cloud AI voice service platform synchronously distributes the configuration information to the highly integrated CTL01_L_L78PM communication module, the module's built-in instruction parsing engine automatically loads the custom configuration, completes the function update, and no modifications are required to the module hardware.

[0012] Furthermore, it also includes: when the highly integrated CTL01_L_L78PM communication module detects an abnormal interruption in the connection with the cloud-based AI voice service platform, it automatically triggers a disconnection reconnection mechanism to re-search for the network, register and establish a communication connection, restore the voice interaction service, and ensure the continuity of interaction.

[0013] Compared with the prior art, the present invention has at least the following advantages or beneficial effects: (1) The present invention provides an AI voice dialogue system and method based on a single communication module. By adopting the highly integrated "three-in-one" CTL01_L_L78PM module, the independent main control and audio chips are eliminated. Compared with the traditional multi-chip solution, the hardware cost is significantly reduced, and the size of the core part of the device can be significantly reduced, which greatly improves the cost performance and miniaturization potential of the product; (2) This invention relies on the widely covered 4G (LTE-CAT1) network as the communication foundation, enabling AI voice interaction capabilities to be extended to a wide range of areas without high-speed broadband or unstable Wi-Fi signals, such as in-vehicle equipment, mobile portable terminals, and smart devices in remote areas, which significantly expands the application boundaries of the technology and enhances reliability. (3) The high integration of the module in this invention reduces the power consumption of inter-chip communication, and the integrated design is more conducive to achieving global low power management, which can meet the battery life requirements of various application scenarios and portable devices. (4) The integrated audio preprocessing of the present invention improves the quality of uplink voice data, which helps to improve the accuracy of cloud recognition. The optimized data transmission mechanism ensures the real-time nature of the interaction, thus providing a smooth and reliable user experience under cost constraints. Attached Figure Description

[0014] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present invention and should not be regarded as a limitation on the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0015] Figure 1 This is a block diagram illustrating the principle of the AI ​​voice dialogue solution based on the Cloud Chip Module CTL01_L_L78PM of the present invention. Figure 2 This is an interactive flowchart of the AI ​​voice dialogue solution based on the cloud chip module CTL01_L_L78PM of the present invention. Detailed Implementation

[0016] Terminology Explanation: CTL01_L_L78PM: A highly integrated communication module launched by Yunxin Company. This module integrates a main control processing unit (MCU), a 4G mobile communication module (supporting LTE-CAT1 standard) and a complete audio signal processing unit (including encoding and decoding, echo cancellation and other functions) in a single hardware module, which can realize the integration of three core functions: network connection, voice signal processing and device control. 4G Mobile Communication / LTE-CAT1: LTE-CAT1 (Long Term Evolution Category 1) is a terminal device category standard in 4G LTE technology. Its characteristics are relatively low power consumption and cost while ensuring wide coverage and mobility of mobile cellular networks, making it suitable for Internet of Things (IoT) and medium-speed data transmission scenarios. OPUS: An open, free, and feature-rich audio coding format designed for the transmission of interactive voice and audio over the Internet. It features low latency, good packet loss resilience, and high compression ratio, making it particularly suitable for real-time voice communication. RSRP (Reference Signal Received Power) is a key indicator used in LTE / 4G networks to measure the strength of the downlink reference signal received by a terminal device from the base station. The unit is usually dBm. The RSRP value directly reflects the network coverage quality of the device's location. SINR (Signal to Interference plus Noise Ratio) is a key indicator used in communication systems to measure the ratio of the strength of the useful signal to the total strength of the interfering signal and background noise. A higher SINR usually means better communication quality and higher data transmission rate. Echo cancellation is an audio signal processing technique used to identify and eliminate the "echo" that is played from the speaker and then re-captured by the microphone, thereby ensuring the clarity of the original user voice signal and improving the accuracy of speech recognition. Automatic Speech Recognition (ASR) is a technology that automatically converts human speech signals into corresponding text content. In this solution, this technology is provided by a cloud-based AI voice service platform, which is responsible for recognizing user speech data into processable text commands. Natural Language Understanding (NLU) is a technology that parses the text after ASR converts speech into text, understands the true intent of the user's statements (such as "turn on the desk lamp" or "check the weather"), and extracts key parameters (such as device name and operation instructions). Text-to-speech (TTS) is a technology that converts structured text information into natural and fluent speech signals that are audible to humans. In this solution, the cloud-based AI platform synthesizes the generated text response into speech data using a TTS engine and sends it to the terminal device for playback. Peripheral Interaction Components: External hardware components necessary to achieve complete human-computer interaction functions; in this solution, it specifically refers to the high-sensitivity microphone (for voice acquisition), power amplifier speaker (for voice playback), and LED indicator lights for indicating working status, which are connected to the core CTL01_L_L78PM module. Disconnection Reconnection Mechanism: A network fault tolerance strategy. When a device detects an abnormal interruption in its connection with the 4G network in the cloud, this mechanism is automatically triggered to attempt to search for the network again, register and establish a connection in order to restore service and ensure the continuity of interaction. To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. The components of the embodiments of this application described and shown in the accompanying drawings can generally be arranged and designed in various different configurations.

[0017] Therefore, the following detailed description of the embodiments of this application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely to illustrate selected embodiments of the application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without inventive effort are within the scope of protection of this application.

[0018] It should be noted that similar labels and letters in the following figures indicate similar items. Therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures.

[0019] It should be noted that, in this document, the term "comprising" or any other variation thereof is intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0020] In the description of this application, it should also be noted that, unless otherwise explicitly specified and limited, the terms "set" and "connection" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this application based on the specific circumstances.

[0021] The following detailed description of some embodiments of this application is provided in conjunction with the accompanying drawings. Unless otherwise specified, the various embodiments and features described below can be combined with each other.

[0022] Example 1 Please see Figure 1-2 This application provides an AI voice dialogue system based on a single communication module, which includes: The highly integrated CTL01_L_L78PM communication module integrates a main control processing unit, an LTE-CAT1 standard 4G mobile communication module, and a complete audio signal processing unit within a single hardware module. The audio signal processing unit integrates audio encoding and decoding, echo cancellation processing, and realizes the integration of three core functions: network connection, voice signal processing, and device control. The peripheral interaction component is electrically connected to the highly integrated CTL01_L_L78PM communication module, including a high-sensitivity microphone for acquiring user voice, a power amplifier speaker for playing response voice, and LED indicators for indicating working status. The cloud-based AI voice service platform uses a highly integrated CTL01_L_L78PM communication module to establish a full-duplex communication connection with the cloud-based AI voice service platform via an LTE-CAT1 standard 4G mobile communication module. The cloud-based AI voice service platform is used to provide automatic speech recognition, natural language understanding, and text-to-speech services.

[0023] The working principle of the system of the present invention: After the device is powered on, the CTL01_L_L78PM module starts up according to the preset timing sequence, automatically searches for and registers the 4G (LTE-CAT1) network; then, the main control unit built into the module establishes a two-way, persistent data connection with the cloud AI voice service platform through the WebSocket protocol, and synchronously initializes the peripheral interaction components (microphone, speaker, etc.) directly connected to it to ensure that each component is ready; When a user initiates a voice interaction, the raw analog voice signal captured by the microphone is directly transmitted to the CTL01_L_L78PM module. This module uses its built-in dedicated audio processing unit to perform preprocessing such as echo cancellation, noise reduction, and gain adjustment on the raw voice signal. Then, it converts the signal into a standardized digital audio data stream (e.g., 16kHz / 16bit OPUS format) through the built-in codec. By using the module's existing dedicated audio processing unit, the dependence on an external independent audio processing chip is eliminated. The CTL01_L_L78PM module, through its integrated 4G communication unit, uploads standardized and compressed voice data streams to the cloud-based AI voice service platform at a frame rate adapted to network conditions. The module's built-in data transmission optimization module manages this process, ensuring low latency and stability. After receiving the data, the cloud-based AI voice service platform sequentially calls the Automatic Speech Recognition (ASR) engine to convert speech into text, the Natural Language Understanding (NLU) engine to parse the user's intent, the dialogue management module to generate response logic, and finally the Text-to-Speech (TTS) engine to synthesize the text response into voice data. The response voice data generated in the cloud is transmitted back to the CTL01_L_L78PM module via the 4G network. The built-in audio processing unit of the module decodes the transmitted voice data and directly drives the speaker to convert it into audible sound, thus completing a complete interactive loop.

[0024] As a preferred implementation, the software layer of the highly integrated CTL01_L_L78PM communication module has a built-in real-time network status monitoring module. The real-time network status monitoring module is used to continuously acquire the RSRP, SINR wireless signal quality indicators and application layer transmission quality of the underlying LTE-CAT1 standard 4G mobile communication module, and dynamically adjust the encoding rate, packet frame rate and data transmission strategy of voice data based on the monitoring results. When the network quality is poor, the encoding rate is reduced and the redundant retransmission mechanism is enabled. When the network quality recovers, the encoding rate is increased.

[0025] As a preferred implementation, the highly integrated CTL01_L_L78PM communication module has a built-in globally unified fine power management unit. Based on the integrated hardware architecture, it implements dynamic power consumption adjustment. Dynamic power consumption adjustment includes: maintaining power supply only for light network connection and low-power voice wake-up circuit in standby mode, and scheduling the operating frequency and power supply of the main control processing unit, audio signal processing unit and radio frequency unit as needed in interactive mode, eliminating cross-chip idle power consumption and interface static power consumption under multi-chip architecture.

[0026] As a preferred implementation, the cloud-based AI voice service platform is equipped with a standardized skill configuration interface and content management platform, which supports terminal manufacturers to upload custom wake words, response phrases, control command sets, and exclusive industry knowledge bases. The firmware of the highly integrated CTL01_L_L78PM communication module has a built-in lightweight configurable command parsing engine that can dynamically adapt to custom command sets issued from the cloud, enabling functional customization without modifying the underlying hardware or core firmware.

[0027] This application also provides an AI voice dialogue method based on a single communication module, which includes the following steps: S1: Integrated Acquisition and Preprocessing: Through the audio signal processing unit integrated in the highly integrated CTL01_L_L78PM communication module, the analog-to-digital conversion, echo cancellation, noise reduction and OPUS format encoding of the user voice signal acquired by the microphone are directly completed. All processing is completed within the system architecture of a single module, without the need to transmit the original audio data across chips. S2: Adaptive Network Transmission: The module obtains the current network signal quality parameters through the built-in real-time network monitoring module, dynamically adjusts the encoding output bit rate and transmission strategy based on the parameters, and sends the compressed voice data stream to the cloud AI voice service platform through the LTE-CAT1 network. The dynamic adjustment includes: when RSRP is detected to be below -110dBm or SINR is below 0dB, automatically reducing the voice coding bitrate from the default 16kbps to 8kbps and enabling a redundant transmission mechanism for each data packet to ensure the integrity of voice data transmission; when the network quality recovers to RSRP above -90dBm and SINR above 5dB, automatically restoring the default coding bitrate and disabling redundant transmission to reduce traffic and power consumption. S3: Cloud-based semantic processing: The cloud-based AI voice service platform performs automatic speech recognition and natural language understanding on the received voice data in sequence, generates a text response, and then obtains the OPUS format voice response data stream through text-to-speech synthesis, which is then sent to the highly integrated CTL01_L_L78PM communication module. S4: Integrated Decoding and Playback: The highly integrated CTL01_L_L78PM communication module completes the digital-to-analog conversion of the response data stream through the integrated audio signal processing unit, and directly outputs it to the power amplifier speaker for playback. At the same time, it completes the control operation of the corresponding external devices based on the parsed control commands.

[0028] As a preferred implementation, it also includes: dynamic power management: in standby mode, the highly integrated CTL01_L_L78PM communication module only maintains power supply for the low-power wake-up circuit and the network light connection, and the main control processing unit enters sleep mode; when a wake word is detected to trigger voice interaction, the audio processing unit, communication unit and main control processing unit are woken up one by one, and each unit is automatically restored to low power state within 5 seconds after the interaction ends.

[0029] As a preferred implementation, the method further includes: the terminal manufacturer uploads custom configuration information through a standardized cloud interface, the cloud AI voice service platform synchronously distributes the configuration information to the highly integrated CTL01_L_L78PM communication module, and the module's built-in instruction parsing engine automatically loads the custom configuration to complete the function update without requiring any modification to the module hardware.

[0030] As a preferred implementation, it also includes: when the highly integrated CTL01_L_L78PM communication module detects an abnormal interruption in the connection with the cloud-based AI voice service platform, it automatically triggers a disconnection reconnection mechanism to re-search for the network, register and establish a communication connection, restore the voice interaction service, and ensure the continuity of interaction.

[0031] Example 2 This embodiment is illustrated using a "universal AI dialogue mechanism box" product provided to toy manufacturers, whose core objective is to achieve a high degree of hardware standardization and integration: (1) Powering on the device and initializing the integrated system: Execution subject: CTL01_L_L78PM module; Triggering condition: The device is powered on (battery or USB). Processing Actions and Logic: The main control unit inside the module first runs the Bootloader to load the main firmware. After the firmware starts, it initializes three integrated units in parallel according to a specific timing sequence: 1) Configure the RF parameters of the 4G communication unit, automatically search for and register to the network; 2) Initialize the codec of the audio processing unit, set the sampling rate (16kHz), gain and load the echo cancellation algorithm coefficients; 3) Drive the GPIO to initialize the peripheral microphone, speaker enable circuit and LED. The key point is that these initialization actions are executed by different hardware units within the same chip and coordinated by the same firmware, with precise and controllable timing. Results and effects: The module reaches a ready state within seconds: 4G network registration is successful, the audio channel is muted and ready to go, and the LED flashes to indicate that it is waiting to be woken up. This completes the hardware self-test and cloud connection preparation. Its function is to enable device startup with the minimum number of components and the simplest circuit. Alternative approach: The initialization sequence can be fine-tuned according to the hardware design. For example, first ensure that the audio path is muted to prevent popping sounds upon power-on, and then start the network search. (2) Integrated preprocessing of voice triggering, acquisition and terminal side: Execution Entity: CTL01_L_L78PM Module (Audio Processing Unit and Main Control Unit work together): Triggering condition: The user presses a physical button (or triggers voice capture through simple local keyword detection); Processing Actions and Logic: The module controls the microphone to power on and begin acquiring analog audio signals. These signals directly enter the audio processing unit inside the module, where the following processes occur sequentially: 1) Analog Front-End Processing: The signal undergoes analog-to-digital conversion (ADC) via a hardware codec; 2) Digital Signal Processing: The digital audio stream is fed into the built-in DSP, where an echo cancellation algorithm is run in real time to eliminate any echoes that may leak from the speakers, and a noise suppression algorithm is run to reduce ambient noise; 3) Encoding and Compression: The processed clean digital audio is called by the main control unit and compressed into low-bitrate data packets using the integrated hardware-accelerated OPUS encoder. Results and effects: The output is high-quality, standardized OPUS-encoded audio frames. Its function is to complete the most critical quality improvement at the signal source (within the module), avoiding interference caused by poor quality external audio chips or transmission, laying the foundation for high recognition rates in the cloud, while compressing data to save bandwidth and reduce transmission latency; Alternative options: The audio encoding format can be replaced with AAC or AMR-WB, but OPUS is better in balancing low latency and low bit rate. The preprocessing algorithm can be simplified to include only gain control and simple filtering depending on the application scenario. (3) Network adaptive transmission: Execution Entity: CTL01_L_L78PM Module (4G Communication Unit and Main Control Unit); Triggering condition: Compressed audio data frames were generated in the previous step; Processing Actions and Logic: The main control unit places voice data frames into the transmission queue. Simultaneously, the module's built-in network status monitoring module continuously reads parameters such as RSRP and SINR from the 4G unit. Based on a preset strategy (e.g., batch transmission when the network is good, and reduced frame rate with priority transmission of key frames when the network is poor), the transmission rhythm is dynamically adjusted. All data is sent to the cloud via the established WebSocket connection. Results and effects: It achieves stable and adaptive uplink transmission of voice data, and can ensure the continuity of interaction to the greatest extent even when the network fluctuates. Its effect is to realize cross-layer optimization between the communication layer and the application layer by leveraging the integration advantages. Alternative: The transport protocol can be replaced with a custom reliable protocol based on UDP, but WebSocket has advantages in firewall penetration and ease of development; (4) Cloud-based intelligent parsing and response generation: Implementing entity: Cloud-based AI voice service platform; Triggering condition: Receiving a voice data stream uploaded by the device; Action and Logic Processing: This is a standardized cloud service process: The ASR service performs streaming recognition to convert speech into text; the NLU service parses the intent (such as ControlDevice) and key parameters (such as device: light, action: on) in the text; the dialogue management service calls the corresponding skill service (such as smart home skills) to generate response text; the TTS service synthesizes the text into a speech audio stream. Results and effects: The generation of structured response voice data streams provides core AI cognition and content generation capabilities. (5) Response reception, decoding and playback: Execution subject: CTL01_L_L78PM module; Triggering condition: Receiving a response voice data stream from the cloud via a WebSocket connection; Processing Actions and Logic: After receiving data, the main control unit directly hands it over to the internal audio processing unit for decoding (OPUS decoding). The decoded digital audio signal is converted from digital to analog (DAC) by the internal codec. The output analog signal is amplified by the internal power amplifier circuit and directly drives the speaker to emit sound. Results and effects: Users hear clear and natural response voices. Thus, the complete interactive loop from "speaking" to "listening" is completely closed within a single CTL01_L_L78PM module, without the need for any external chip relay processing. Its function is to achieve response playback with the lowest latency and the highest fidelity.

[0032] It is understood that the structure shown in the figure is for illustrative purposes only. An AI voice dialogue system and method based on a single communication module may include more or fewer components than those shown in the figure, or have a different configuration. The components shown in the figure can be implemented in hardware, software, or a combination thereof.

[0033] In the embodiments provided in this application, it should be understood that the disclosed methods can also be implemented in other ways. The embodiments described above are merely illustrative. For example, the flowcharts or block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of methods and computer program products according to various embodiments of this application. In this regard, each block in the flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the blocks may occur in a different order than those marked in the drawings. For example, two consecutive blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagram and / or flowchart, and combinations of blocks in the block diagram and / or flowchart, can be implemented using a dedicated hardware-based system that performs the specified function or action, or using a combination of dedicated hardware and computer instructions.

[0034] In addition, the functional modules in the various embodiments of this application can be integrated together to form an independent part, or each module can exist independently, or two or more modules can be integrated to form an independent part.

[0035] If the aforementioned functions are implemented as software functional modules and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0036] In summary, the AI ​​voice dialogue system and method based on a single communication module provided in this application proposes a core design concept of deep integration of standardized hardware and personalized software: at the core hardware level, a highly integrated CTL01_L_L78PM communication module is adopted, which integrates a main control processing unit, a 4GLTE-CAT1 communication module and a complete audio signal processing unit within a single hardware module, realizing the integration of three core functions: network connection, voice signal processing and device control. The hardware solution is completely standardized, which can support large-scale mass production, significantly reducing material costs and hardware development thresholds. Manufacturers do not need to debug underlying hardware issues such as multi-chip interfaces and timing matching, and can directly develop terminal products based on mature hardware solutions.

[0037] The software and cloud layers adopt a fully scalable open architecture: the cloud provides standardized skill configuration interfaces and content management platforms, allowing manufacturers to independently upload custom wake words, response phrases, control command sets, and exclusive knowledge bases without modifying the underlying hardware or core firmware; the device has a built-in lightweight configurable command parsing engine that can dynamically adapt to custom command sets issued from the cloud, fully meeting the differentiated functional needs of different industries.

[0038] This design achieves cost advantages for large-scale production through standardized hardware, while also covering customized needs for diverse scenarios through personalized configuration capabilities of software and the cloud. This allows the solution to be flexibly embedded into various terminal products as a universal "AI voice core," thus completely opening up the path for AI voice interaction technology to be implemented in massive IoT scenarios.

[0039] The above description is merely a preferred embodiment of this application and is not intended to limit this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application.

[0040] It will be apparent to those skilled in the art that this application is not limited to the details of the exemplary embodiments described above, and that this application can be implemented in other specific forms without departing from the spirit or essential characteristics of this application. Therefore, the embodiments should be considered illustrative and non-limiting in all respects, and the scope of this application is defined by the appended claims rather than the foregoing description. Thus, all variations falling within the meaning and scope of equivalents of the claims are intended to be included within this application. No reference numerals in the claims should be construed as limiting the scope of the claims.

Claims

1. An AI voice dialogue system based on a single communication module, characterized in that, include: The highly integrated CTL01_L_L78PM communication module integrates a main control processing unit, an LTE-CAT1 standard 4G mobile communication module, and a complete audio signal processing unit within a single hardware module. The audio signal processing unit integrates audio encoding and decoding, echo cancellation processing, and realizes the integration of three core functions: network connection, voice signal processing, and device control. The peripheral interaction component is electrically connected to the highly integrated CTL01_L_L78PM communication module, and includes a high-sensitivity microphone for collecting user voice, a power amplifier speaker for playing response voice, and an LED indicator for indicating working status. The cloud-based AI voice service platform, wherein the highly integrated CTL01_L_L78PM communication module establishes a full-duplex communication connection with the cloud-based AI voice service platform through the LTE-CAT1 standard 4G mobile communication module, is used to provide automatic speech recognition, natural language understanding and text-to-speech services.

2. The AI ​​voice dialogue system based on a single communication module as described in claim 1, characterized in that, The highly integrated CTL01_L_L78PM communication module has a built-in real-time network status monitoring module in its software layer. This real-time network status monitoring module is used to continuously acquire the RSRP and SINR wireless signal quality indicators of the underlying LTE-CAT1 standard 4G mobile communication module and the transmission quality of the application layer. Based on the monitoring results, it dynamically adjusts the encoding rate, packet frame rate and data transmission strategy of voice data. When the network quality is poor, it reduces the encoding rate and enables a redundant retransmission mechanism. When the network quality recovers, it increases the encoding rate.

3. The AI ​​voice dialogue system based on a single communication module as described in claim 1, characterized in that, The highly integrated CTL01_L_L78PM communication module has a built-in globally unified fine power management unit, which implements dynamic power consumption adjustment based on an integrated hardware architecture. The dynamic power consumption adjustment includes: maintaining power supply only for light network connection and low-power voice wake-up circuit in standby mode, and scheduling the operating frequency and power supply of the main control processing unit, audio signal processing unit and radio frequency unit as needed in interactive mode, thereby eliminating cross-chip idle power consumption and interface static power consumption under multi-chip architecture.

4. The AI ​​voice dialogue system based on a single communication module as described in claim 1, characterized in that, The cloud-based AI voice service platform is equipped with a standardized skill configuration interface and content management platform, supporting terminal manufacturers to upload custom wake words, response phrases, control command sets, and exclusive industry knowledge bases; the firmware of the highly integrated CTL01_L_L78PM communication module has a built-in lightweight configurable command parsing engine that can dynamically adapt to custom command sets issued from the cloud.

5. An AI voice dialogue method based on a single communication module, implemented based on the system described in any one of claims 1-4, characterized in that, Includes the following steps: S1: Integrated Acquisition Preprocessing: Through the audio signal processing unit integrated in the highly integrated CTL01_L_L78PM communication module, the analog-to-digital conversion, echo cancellation, noise reduction processing, and OPUS format encoding of the user voice signal acquired by the microphone are directly performed. S2: Adaptive Network Transmission: The module obtains the current network signal quality parameters through the built-in real-time network monitoring module, dynamically adjusts the encoding output bit rate and transmission strategy based on the parameters, and sends the compressed voice data stream to the cloud AI voice service platform through the LTE-CAT1 network. S3: Cloud-based semantic processing: The cloud-based AI voice service platform performs automatic speech recognition and natural language understanding on the received voice data in sequence, generates a text response, and then obtains the OPUS format voice response data stream through text-to-speech synthesis, which is then sent to the highly integrated CTL01_L_L78PM communication module. S4: Integrated Decoding and Playback: The highly integrated CTL01_L_L78PM communication module completes the digital-to-analog conversion of the response data stream through the integrated audio signal processing unit, and directly outputs it to the power amplifier speaker for playback. At the same time, it completes the control operation of the corresponding external device based on the parsed control commands.

6. The AI ​​voice dialogue method based on a single communication module as described in claim 5, characterized in that, Also includes: Dynamic power management: In standby mode, the highly integrated CTL01_L_L78PM communication module only maintains power supply for the low-power wake-up circuit and the network light connection, while the main control processing unit enters sleep mode; when a wake word is detected to trigger voice interaction, the audio processing unit, communication unit and main control processing unit are woken up one by one, and each unit is automatically restored to low power state within 5 seconds after the interaction ends.

7. The AI ​​voice dialogue method based on a single communication module as described in claim 6, characterized in that, Also includes: Terminal manufacturers upload custom configuration information through a standardized cloud interface. The cloud-based AI voice service platform then synchronously distributes the configuration information to the highly integrated CTL01_L_L78PM communication module. The module's built-in instruction parsing engine automatically loads the custom configuration and completes the function update.

8. The AI ​​voice dialogue method based on a single communication module as described in claim 7, characterized in that, Also includes: When the highly integrated CTL01_L_L78PM communication module detects an abnormal interruption in the connection with the cloud-based AI voice service platform, it automatically triggers the disconnection reconnection mechanism to re-search for the network, register and establish a communication connection, restore the voice interaction service, and ensure the continuity of interaction.

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