Man-machine interaction power supply system based on AI voice recognition technology

Abstract

The invention discloses a man-machine interaction power supply system based on an AI voice recognition technology. The man-machine interaction power supply system comprises input and output interface equipment, an automatic voice recognition module, a natural language processing module, a text-to-voice module, a power supply control module and a feedback and monitoring module, the AI voice recognition technology is integrated, human-computer interaction based on voice commands is achieved, the system converts the voice commands of a user into executable text commands through a voice recognition module, then the commands are transmitted to power supply equipment, and specific control operations such as voltage regulation, mode switching and output starting and stopping are executed. And through the voice synthesis engine, the system can feed back an operation result in real time through voice, the user immediately obtains confirmation information after operation, and the interaction experience is improved.

Description

Technical Field

[0001] The present invention relates to a power management system, and in particular to a human-computer interactive power system using AI voice recognition technology. Background Art

[0002] Traditional power management systems usually rely on physical buttons, remote controllers or applications for operation. Although they are practical to a certain extent, they still require users to perform manual operations, which limits their application effect in specific scenarios. With the rapid development of smart homes and smart devices, power management is gradually developing towards automation, intelligence and efficiency.

[0003] In recent years, speech recognition technology has made significant progress, especially AI speech recognition technology based on deep learning, which enables devices to understand and respond to users' natural language commands, greatly improving the efficiency and naturalness of human-computer interaction. Applying AI speech recognition technology to power management systems allows users to achieve contactless control of power devices through voice, significantly improving the convenience and safety of operation, especially in scenarios such as home automation, smart home appliance control and industrial power management.

[0004] Existing technology and defects:

[0005] Traditional power control systems mostly use physical switches or remote controls, and users must manually trigger the device to turn on, off, or other control commands. This method is simple and reliable, but in some cases, especially when the user's hands are occupied or cannot reach the device, it is inconvenient to operate.

[0006] With the popularization of the Internet, many power supply devices have begun to integrate WiFi or Bluetooth modules, and remote control through mobile phone applications or the Web has become a popular solution. Users can monitor and operate the power supply status through mobile devices, and remotely switch or adjust parameters. This method enhances the flexibility of control, but still requires users to manually operate the equipment and the operation depends on mobile phones / computers and the Internet. It cannot achieve completely contactless operation, and it may cause inconvenience to users who are not familiar with the application interface. In addition, when controlling multiple devices at the same time, the operation process is more complicated.

[0007] To sum up, the existing power control systems still have problems such as slow response speed and difficulty in adapting to the control needs of multiple users or complex scenarios. Therefore, developing a power control system that combines AI voice recognition technology and has intelligent learning functions can not only solve the shortcomings of existing technologies, but also improve the adaptability and intelligence level of the system.

[0008] In view of this, the present invention is proposed. Summary of the invention

[0009] The purpose of the present invention is to provide a human-computer interactive power supply system through AI voice recognition technology to solve the above-mentioned technical problems existing in the prior art.

[0010] The objective of the present invention is achieved through the following technical solutions:

[0011] The human-computer interactive power supply system using AI voice recognition technology of the present invention includes an input and output interface device, an automatic voice recognition module, a natural language processing module, a text-to-speech module, a power supply control module, and a feedback and monitoring module;

[0012] The automatic speech recognition module is connected to the audio processing module, including a microphone or smart speaker, a noise suppression unit and a speech enhancement unit;

[0013] The natural language processing module performs semantic analysis on the text commands and converts them into operation instructions that match the control protocol of the power supply system;

[0014] The power control module communicates with the equipment of the power system through RS232, LAN or CAN bus interface to perform specific operations such as adjusting voltage, switching modes, and starting / stopping output;

[0015] The feedback and monitoring module feeds back the operation result to the user through the speech synthesis module, ensuring that the user can accurately know the operation status.

[0016] Compared with the prior art, the human-computer interaction power supply system provided by the present invention through AI voice recognition technology realizes human-computer interaction based on voice commands by integrating AI voice recognition technology. The system converts the user's voice commands into executable text commands with the help of the voice recognition module, and then transmits the commands to the power supply equipment to perform specific control operations, such as voltage regulation, mode switching, output start and stop, etc. Through the voice synthesis engine, the system can also provide real-time voice feedback on the operation results, and the user can immediately obtain confirmation information after the operation, thereby improving the interactive experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 A structural topology diagram of a power supply system according to an embodiment of the present invention;

[0018] Figure 2 Schematic diagram of the working mode of the human-computer interactive power system with AI voice recognition technology according to an embodiment of the present invention. DETAILED DESCRIPTION

[0019] The following is a clear and complete description of the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention; it is obvious that the described embodiments are only part of the embodiments of the present invention, not all of the embodiments, which does not constitute a limitation of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the protection scope of the present invention.

[0020] First, the terms that may be used in this article are explained as follows:

[0021] The term “and / or” means that either or both of them can be realized at the same time. For example, X and / or Y means both “X” or “Y” and “X and Y”.

[0022] The terms "include", "comprises", "contains", "has" or other descriptions with similar semantics should be interpreted as non-exclusive inclusion. For example, including certain technical feature elements (such as raw materials, components, ingredients, carriers, dosage forms, materials, dimensions, parts, components, mechanisms, devices, steps, procedures, methods, reaction conditions, processing conditions, parameters, algorithms, signals, data, products or products, etc.) should be interpreted as including not only certain technical feature elements explicitly listed, but also other technical feature elements known in the art that are not explicitly listed.

[0023] The term "consisting of..." means excluding any technical feature elements not explicitly listed. If this term is used in a claim, it will make the claim closed, so that it does not contain technical feature elements other than the technical feature elements explicitly listed, except for the conventional impurities related to them. If this term only appears in a clause of a claim, it only limits the elements explicitly listed in the clause, and the elements recorded in other clauses are not excluded from the overall claim.

[0024] The contents not described in detail in the examples of the present invention belong to the prior art known to professionals in the field. If no specific conditions are specified in the examples of the present invention, the conditions are carried out according to the conventional conditions in the field or the conditions recommended by the manufacturer. If the manufacturer is not specified in the reagents or instruments used in the examples of the present invention, they are all conventional products that can be purchased commercially.

[0025] The human-computer interactive power supply system using AI voice recognition technology of the present invention includes an input and output interface device, an automatic voice recognition module, a natural language processing module, a text-to-speech module, a power supply control module, and a feedback and monitoring module;

[0026] The automatic speech recognition module is connected to the audio processing module, including a microphone or smart speaker, a noise suppression unit and a speech enhancement unit;

[0027] The natural language processing module performs semantic analysis on the text commands and converts them into operation instructions that match the control protocol of the power supply system;

[0028] The power control module communicates with the equipment of the power system through RS232, LAN or CAN bus interface to perform specific operations such as adjusting voltage, switching modes, and starting / stopping output;

[0029] The feedback and monitoring module feeds back the operation result to the user through the speech synthesis module, ensuring that the user can accurately know the operation status.

[0030] Also includes any and all of the following modules:

[0031] Self-learning and optimization module:

[0032] This module uses the self-learning function to record user operation habits and gradually optimize command parsing and execution efficiency. For commonly used commands, the system will reduce the interaction steps and improve the response speed;

[0033] It also learns the voice features and habits of different users through historical data to improve recognition accuracy in multi-user environments.

[0034] Multi-round dialogue and complex operation module:

[0035] This module supports multi-round dialogue interaction and can process multiple consecutive instructions in sequence to maintain the logical consistency of the context;

[0036] Complex command support: The system can handle complex operation commands, and users can complete multiple settings through a single voice command;

[0037] Multiple scene modes: support the setting of different scene modes such as test experiment mode, aging experiment mode, factory default mode, last operation mode, normal working mode and safety shutdown mode;

[0038] Remote control and expansion modules:

[0039] Remote control: Users can perform remote voice control through networked devices. The remote access module allows users to send voice commands through mobile devices to achieve remote operation of power system equipment and confirm the execution results through voice feedback;

[0040] Function extension: Supports user-defined instruction words and extended function modules to adapt to different power management scenarios. Users can add specific power operation instructions as needed and perform secondary development of functions through open source structures.

[0041] Also included is a skills matching and processing module that implements any one or more of the following functions:

[0042] Run / Stop, Measurement Setup, Protection Setup, Configuration Setup, System Setup.

[0043] From the above, it can be seen that the human-computer interaction power supply system through AI voice recognition technology in the embodiment of the present invention realizes human-computer interaction based on voice commands by integrating AI voice recognition technology. The system converts the user's voice commands into executable text commands with the help of the voice recognition module, and then transmits the commands to the power supply device to perform specific control operations, such as voltage regulation, mode switching, output start and stop, etc.

[0044] The system supports natural language processing (NLP) and multi-round dialogue interaction. Through deep learning technology, it can learn and adaptively optimize user voice features to improve recognition accuracy and control efficiency. At the same time, the system supports custom command words and function expansion to flexibly meet power management needs in different scenarios. In addition, through the speech synthesis engine, the system can also provide real-time voice feedback on operation results, and users can immediately obtain confirmation information after the operation, improving the interactive experience.

[0045] In order to more clearly demonstrate the technical solution and technical effects provided by the present invention, the embodiments of the present invention are described in detail with specific embodiments below.

[0046] Example 1

[0047] like Figure 1 , Figure 2 As shown:

[0048] After waking up the voice dialogue robot, the user's voice command will first be recognized by the Automatic Speech Recognition (ASR) engine into text, and then the recognized text will be parsed by Natural Language Understanding (NLU). The parsed result will be matched with skills and handed over to the skill plug-in suitable for processing the command. After the plug-in is processed, the result will be handed over to the Text-To-Speech (TTS) engine to synthesize into speech and play it to the user. Although an interaction may include multiple network requests, the benefit is that each link can be modified and customized.

[0049] 1. Voice collection and recognition

[0050] Voice collection: The system collects user voice commands by connecting to microphones or smart speakers. The device uses the audio processing module of the voice dialogue robot to perform noise suppression and voice enhancement to ensure the clarity of voice input.

[0051] Speech recognition: The collected audio signals are processed by the integrated speech recognition module (ASR). The ASR engine converts speech into text based on the user input instructions, such as "set the voltage to 220V" and "switch to AC mode". The voice dialogue robot supports multiple Chinese ASR engines, thereby improving the accuracy and diversity of speech recognition.

[0052] 2. Instruction parsing and execution

[0053] Command parsing: The recognized text commands are semantically parsed by the natural language processing module of the voice dialogue robot to identify key parameters in the command, such as voltage value, frequency or mode. The system can recognize complex commands and multiple rounds of interaction, such as "adjust the voltage to 220 volts and set the harmonic analysis to third harmonic."

[0054] Power control: The parsed commands are converted into operation instructions that match the control protocol of the power system. The system communicates with the power system equipment through RS232, LAN or CAN bus interface to perform specific operations such as adjusting voltage, switching modes, starting / stopping output, etc.

[0055] 3. Voice feedback and confirmation

[0056] Feedback mechanism: After the operation is completed, the system will feedback the operation results to the user through the speech synthesis (TTS) module. For example, when the user sets the voltage to 220V, the system will inform the user through voice that "the voltage has been set to 220V". This real-time feedback ensures that the user can accurately understand the operation status.

[0057] 4. Self-learning and optimization

[0058] Intelligent learning: The system uses the self-learning function of the voice dialogue robot to record user operating habits and gradually optimize command parsing and execution efficiency. For commonly used commands, the system will reduce the interaction steps and improve the response speed. At the same time, the AI ​​module can learn the voice characteristics and habits of different users through historical data to improve the recognition accuracy in a multi-user environment.

[0059] 5. Multi-round dialogue and complex operations

[0060] Multi-round dialogue: The system supports multi-round dialogue interaction. For example, the user can first issue "set the power to AC mode" and then issue "set the frequency to 50Hz". The system can process multiple consecutive instructions in sequence to maintain the logical consistency of the context.

[0061] Complex command support: The system can handle complex operation commands, and users can complete multiple settings with a single voice command. For example, users can directly issue "enable AC+DC mode, set voltage to 110V, frequency to 50Hz", and the system will parse and execute these operations in sequence, simplifying the operation process.

[0062] Multiple scene modes: The system supports the setting of different scene modes such as test experiment mode, aging experiment mode, factory default mode, last operation mode, normal working mode, safety shutdown mode, etc.

[0063] 6. Remote control and expansion

[0064] Remote control: Users can perform remote voice control through networked devices (such as smartphones, tablets, etc.). The remote access module of the voice dialogue robot allows users to send voice commands through mobile devices to remotely operate power system equipment and confirm the execution results through voice feedback.

[0065] Functional expansion: The system supports user-defined instruction words and extended functional modules to adapt to different power management scenarios. Users can add specific power operation instructions as needed and perform secondary development of functions through the open source structure of the voice dialogue robot.

[0066] It can be seen that the present invention is based on AI voice recognition technology, combined with AC and DC load power products, to achieve intelligent interactive control of the power supply system through voice commands. Utilizing deep learning technology, the system can adapt to the voice characteristics of different users, with high recognition accuracy and strong operational safety. The recognized instructions are used to control various functions of the power supply, such as voltage regulation, harmonic analysis, and mode switching, to achieve power switching, parameter adjustment, mode switching and other operations, greatly improving the convenience of operation. This contactless interaction method not only improves the user experience, but also can adapt to more complex application scenarios.

[0067] The above is only a preferred specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any changes or substitutions that can be easily thought of by any technician familiar with the technical field within the technical scope disclosed in the present invention should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims. The information disclosed in the background technology section of this article is only intended to deepen the understanding of the overall background technology of the present invention, and should not be regarded as an admission or in any form that the information constitutes prior art known to those skilled in the art.

Claims

1. A human-computer interactive power supply system using AI voice recognition technology, characterized in that: It includes input and output interface devices, automatic speech recognition module, natural language processing module, text-to-speech module, power control module and feedback and monitoring module; The automatic speech recognition module is connected to the audio processing module, including a microphone or smart speaker, a noise suppression unit and a speech enhancement unit; The natural language processing module performs semantic analysis on the text commands and converts them into operation instructions that match the control protocol of the power supply system; The power control module communicates with the equipment of the power system through RS232, LAN or CAN bus interface to perform specific operations such as adjusting voltage, switching modes, and starting / stopping output; The feedback and monitoring module feeds back the operation result to the user through the speech synthesis module, ensuring that the user can accurately know the operation status.

2. The human-computer interactive power supply system using AI voice recognition technology according to claim 1, characterized in that: Also includes any and all of the following modules: Self-learning and optimization module: This module uses the self-learning function to record user operation habits and gradually optimize command parsing and execution efficiency. For commonly used commands, the system will reduce the interaction steps and improve the response speed; It also learns the voice features and habits of different users through historical data to improve recognition accuracy in multi-user environments. Multi-round dialogue and complex operation module: This module supports multi-round dialogue interaction and can process multiple consecutive instructions in sequence to maintain the logical consistency of the context; Complex command support: The system can handle complex operation commands, and users can complete multiple settings through a single voice command; Multiple scene modes: support the setting of different scene modes such as test experiment mode, aging experiment mode, factory default mode, last operation mode, normal working mode and safety shutdown mode; Remote control and expansion modules: Remote control: Users can perform remote voice control through networked devices. The remote access module allows users to send voice commands through mobile devices to achieve remote operation of power system equipment and confirm the execution results through voice feedback; Function extension: Supports user-defined instruction words and extended function modules to adapt to different power management scenarios. Users can add specific power operation instructions as needed and perform secondary development of functions through open source structures.

3. The human-computer interactive power supply system using AI voice recognition technology according to claim 1 or 2, characterized in that: Also included is a skills matching and processing module that implements any one or more of the following functions: Run / Stop, Measurement Setup, Protection Setup, Configuration Setup, System Setup.

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