Low-power-consumption intelligent recording system based on keyword triggering and control method thereof

Abstract

The invention provides a low-power-consumption intelligent recording system based on keyword triggering and a control method thereof, and relates to the technical field of intelligent audio processing, and the method comprises the following steps: the system is regularly awakened in a low-power-consumption standby state, and audio is collected and keyword identification is carried out; when a preset keyword is detected, the system enters a continuous recording mode and transmits audio data to a storage module in real time; after recording is finished, the system compresses, encrypts and stores audio data, and selects a proper sleep mode according to the current battery state; the system also supports wakeup by sound intensity or timer. Through an adaptive power consumption control algorithm, a multi-stage dormancy mechanism and an efficient data compression technology, long-time, stable and efficient recording work under a low-power-consumption condition is realized, and the system and the method are suitable for various application environments such as campus security and business scenes.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent audio processing, and in particular to a low-power intelligent recording system based on keyword triggering and a control method thereof. Background Art

[0002] With the widespread application of smart recording devices in areas such as campus security and business negotiations, the battery life of the device has gradually become a key factor affecting its actual application effect. In these scenarios, recording devices usually need to run continuously for a long time to capture important audio information. However, smart recording devices in the existing technology still have obvious defects and deficiencies in terms of battery life and intelligent management, as shown below:

[0003] High power consumption: Existing smart recording devices usually adopt continuous working mode. Although this mode can continuously monitor the ambient audio, it consumes a lot of power and cannot meet the needs of long-term monitoring. This requires frequent charging or battery replacement of the device, which affects its convenience and efficiency in actual scenarios.

[0004] Lack of intelligent wake-up mechanism: In the existing technology, most devices only use a simple timer switch mechanism, that is, turning the device on or off within a preset time period. However, this fixed switch mechanism is difficult to cope with complex and changing usage scenarios. For example, in a campus or business negotiation, environmental noise, usage time, and monitoring requirements may change at any time. The fixed timing mechanism cannot be flexibly adjusted, which easily leads to missing key audio information.

[0005] Manual operation is cumbersome: Existing smart recording devices usually rely on manual operation for on-off control, which not only increases the user's operating burden, but also easily leads to the omission of important information due to negligence. For example, in an emergency, the user may not be able to start the recording device in time, resulting in the loss of key evidence.

[0006] The power consumption and monitoring balance problem: It is difficult to achieve a balance between power consumption and effective monitoring with existing technologies. Although a fixed working cycle can reduce power consumption, it may cause the device to be in a non-working state at important moments, missing important audio content. In order to ensure the monitoring effect, the device has to extend the working cycle, further aggravating the power consumption problem.

[0007] Lack of intelligent power management: Most existing recording devices do not have intelligent power management strategies and cannot dynamically adjust their working status according to changes in environmental conditions. This means that when the battery is low or environmental conditions change, the device may still operate in high power consumption mode, causing the battery to drain quickly and affecting the recording effect.

[0008] In summary, the shortcomings of existing smart recording devices in terms of battery life, smart wake-up, ease of operation, and power consumption management have severely limited their practical application effects and scope of use. Therefore, there is an urgent need for a low-power smart recording system that can solve the above problems to meet the needs of long-term and efficient recording in areas such as campus security and business negotiations. Summary of the invention

[0009] In order to solve the technical problems of high power consumption, lack of intelligent wake-up mechanism, cumbersome manual operation, difficult problem of balancing power consumption and monitoring, and lack of intelligent power management in the prior art, the present invention provides a low-power intelligent recording system based on keyword triggering and a control method thereof.

[0010] The technical solution provided by the present invention is as follows:

[0011] First aspect:

[0012] The present invention provides a low-power intelligent recording system based on keyword triggering, comprising:

[0013] Main controller, audio acquisition module, storage module, wireless communication module, human-computer interaction module and power management module. The main controller is connected to other modules through a multi-channel parallel I / O interface to ensure efficient data transmission and system response. Specifically:

[0014] The I2S interface of the main controller is connected to the audio acquisition module for real-time transmission of audio signals; the SPI interface of the main controller is connected to the storage module for ensuring fast reading and writing of data; the UART interface of the main controller is connected to the wireless communication module to support data transmission of Wi-Fi and Bluetooth communication protocols; the GPIO interface of the main controller is connected to the human-computer interaction module to realize the detection of touch switches and the control of LED lights; the power management interface of the main controller is connected to the power management module for receiving and regulating the power supply status.

[0015] Second aspect:

[0016] The present invention provides a low-power intelligent recording system control method based on keyword triggering, comprising:

[0017] S1, initialization phase: after the system is powered on or reset, it enters the initialization phase. The main controller loads the basic firmware and initializes all hardware components. The power management module optimizes the system power configuration to put the system into a low-power standby state. The wireless communication module is in a shutdown or low-power mode. The LED light flashes green or red to indicate that the system is in standby mode.

[0018] S2, keyword monitoring stage. After the initialization stage, the system enters the standby mode, continuously listens to the external human voice, and compares the keyword list in the internal firmware. The main controller controls the audio acquisition module to perform short-term audio sampling of the environment through the I2S interface. The sampled audio data is transmitted to the keyword recognition engine, and the sampled data is analyzed based on the algorithm of the lightweight neural network. If the target keyword is not detected, the system immediately returns to the standby state. If the keyword is detected, it goes to the next step.

[0019] S3, recording stage, if the keyword is detected, the system is fully awakened from the low power state, the main controller switches to the high performance mode, the main controller controls the audio acquisition module through the I2S interface to start continuous recording, the recording data is transmitted to the main controller in real time, the recording stage lasts for a preset time, during which the LED light continues to show blue, indicating that the system is in the recording state;

[0020] S4, data processing stage. After the recording stage, the system automatically enters the data processing stage. The main controller calls the data compression storage module to perform lossless audio compression on the recording data. The compressed audio data is written to the storage module through the SPI interface. At the same time, the main controller encrypts the data according to the preset security policy. After the data storage is completed, the main controller records the stored file information and activates the UART interface of the wireless communication module to upload the data to an external device or a cloud server.

[0021] S5, sleep stage, after data processing is completed, the system selects an appropriate sleep mode according to the current power status and environmental noise level. The main controller decides to enter shallow sleep mode or deep sleep mode through an adaptive power consumption control algorithm;

[0022] S6, wake-up phase: When the system is in sleep mode, the intelligent wake-up system of the main controller continuously monitors external conditions. When it detects a sound intensity exceeding the set threshold or the internal timer reaches the preset time, the main controller immediately wakes up the system, and the system re-enters the keyword monitoring phase, ready to respond to new recording requests.

[0023] The beneficial effects brought about by the technical solution provided by the present invention include at least:

[0024] (1) In the present invention, by adopting keyword triggering and multi-level sleep mechanism, the average power consumption of the system is greatly reduced. The intelligent adaptive power consumption control algorithm dynamically adjusts the working state according to the actual environmental conditions, so that the system can achieve continuous operation for more than several weeks in typical usage scenarios, greatly extending the battery life of the device;

[0025] (2) In the present invention, the adaptive power consumption control algorithm and the multiple wake-up mechanism ensure the effective operation of the system in various application scenarios. The multiple wake-up mechanism can effectively avoid missing important information and improve the reliability and practicality of the system.

[0026] (3) In the present invention, the storage efficiency is significantly improved by advanced data compression technology, so that more audio information can be recorded in limited storage space. In addition, the system supports customized keywords and working parameters, has a high degree of flexibility, and can adapt to different application requirements and usage scenarios. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0028] Figure 1 A schematic diagram of the structure of a low-power intelligent recording system based on keyword triggering provided by an embodiment of the present invention;

[0029] Figure 2 A flowchart of a keyword-triggered low-power intelligent recording system control method provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0030] The technical solution of the present invention is described below in conjunction with the accompanying drawings.

[0031] In the embodiments of the present invention, words such as "exemplarily" and "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described as "example" in the present invention should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of the word "example" is intended to present the concept in a specific way. In addition, in the embodiments of the present invention, the meaning expressed by "and / or" can be both, or it can be either of the two.

[0032] In the embodiments of the present invention, "image" and "picture" can sometimes be used interchangeably. It should be noted that when the difference between them is not emphasized, the meanings they intend to express are the same. "of", "corresponding, relevant" and "corresponding" can sometimes be used interchangeably. It should be noted that when the difference between them is not emphasized, the meanings they intend to express are the same.

[0033] In the embodiments of the present invention, sometimes a subscript such as W1 may be mistakenly written as a non-subscript such as W1. When the difference is not emphasized, the meanings to be expressed are consistent.

[0034] In order to make the technical problems, technical solutions and advantages to be solved by the present invention more clear, a detailed description will be given below with reference to the accompanying drawings and specific embodiments.

[0035] Reference Manual Attached Figure 1 , showing a structural diagram of a low-power intelligent recording system based on keyword triggering provided by an embodiment of the present invention.

[0036] The embodiment of the present invention provides a low-power intelligent recording system based on keyword triggering, which can be implemented by a low-power intelligent recording system control method based on keyword triggering. The low-power intelligent recording system based on keyword triggering can include the following components:

[0037] Main controller, audio acquisition module, storage module, wireless communication module, human-computer interaction module and power management module. The main controller is connected to other modules through a multi-channel parallel I / O interface to ensure efficient data transmission and system response. Specifically:

[0038] The I2S interface of the main controller is connected to the audio acquisition module for real-time transmission of audio signals; the SPI interface of the main controller is connected to the storage module to ensure fast reading and writing of data; the UART interface of the main controller is connected to the wireless communication module to support data transmission of Wi-Fi and Bluetooth communication protocols; the GPIO interface of the main controller is connected to the human-computer interaction module to realize the detection of touch switches and the control of LED lights; the power management interface of the main controller is connected to the power management module to receive and adjust the power supply status.

[0039] In a possible implementation, the main controller uses a low-power ARM Cortex-M4 processor, and the storage module uses a low-power NAND Flash.

[0040] It should be noted that the audio acquisition module includes a microphone and an analog-to-digital converter (ADC). The analog audio signal collected by the microphone is directly transmitted to the analog-to-digital converter through internal connecting lines. The analog-to-digital converter converts the analog signal into a digital signal. The digital signal output by the analog-to-digital converter is transmitted to the I2S interface of the main controller through the I2S bus, thereby realizing the acquisition and processing of high-quality audio data.

[0041] It is understandable that the audio acquisition module is designed to ensure high-quality audio data acquisition and processing. The analog audio signal collected by the microphone is converted into a digital signal through a directly connected analog-to-digital converter (ADC), and then transmitted to the main controller through the I2S bus. This connection method is chosen to ensure that the audio signal is distorted as little as possible during the conversion and transmission process, and to maintain the high fidelity of the audio data. The I2S bus is designed for audio data transmission and can effectively support high-sampling rate audio data streams. Therefore, the use of the I2S interface can ensure high-quality transmission and processing of audio data.

[0042] It should be noted that the storage module is connected to the main controller via the SPI interface, and the main controller directly accesses the storage module to perform data read and write operations. The storage module integrates an error correction code (ECC) function and is connected to the storage chip through internal electrical connections.

[0043] It is understandable that the storage module is connected to the main controller through the SPI interface, which is designed to achieve fast and stable data read and write operations while ensuring the integrity and reliability of the stored data. The SPI interface is a commonly used high-speed serial interface, suitable for fast data transmission under low power conditions. The error correction code (ECC) function integrated in the storage module can automatically detect and repair data errors that may occur during the storage process, thereby improving the reliability of data storage. Through these designs, the system can efficiently and safely store a large amount of audio data in a limited storage space.

[0044] It should be noted that the wireless communication module supports Wi-Fi and Bluetooth communications, and is connected to the main controller via a UART interface. The wireless communication module also includes a power control unit, which is connected to the power management module to achieve low-power communication.

[0045] It is understandable that the wireless communication module is designed to achieve Wi-Fi and Bluetooth communication functions under low power conditions, and is connected to the main controller through the UART interface. The UART interface is a commonly used asynchronous serial communication interface suitable for low-power inter-device communication. The power control unit integrated in the wireless communication module is connected to the power management module, which can dynamically adjust the power state of the communication module according to demand, ensuring sufficient communication capabilities when needed, while reducing power consumption when not in use. This design can maximize the system's battery life while ensuring communication functions.

[0046] It should be noted that the power management module includes a low-power conversion circuit and a battery management system. The power management module and other hardware components are connected through a power bus to provide a stable power supply. The power conversion circuit is used to convert the battery voltage into the operating voltage required by each component, and is connected to the main controller and the power management system through a dedicated power distribution line. The battery management system monitors the battery loading and feeds back the battery power information to the main controller through the I2C interface. The main controller adjusts the power consumption mode according to the battery power information.

[0047] It is understandable that the power management module is designed to provide a stable and appropriate power supply for each component of the system and dynamically adjust the system's power consumption mode according to the battery status. The module includes a low-power conversion circuit and a battery management system, which provide power support to other hardware components through the power bus. The low-power conversion circuit is responsible for converting the battery voltage into the operating voltage required by each component, while the battery management system feeds back the battery power information to the main controller through the I2C interface, so that the main controller can adjust the system's power consumption mode according to the power status. This design can effectively extend the battery life and ensure that the system can still run stably in low-power mode.

[0048] It should be noted that the human-computer interaction module includes a touch switch and an LED light. The touch switch is connected to the main controller through the GPIO interface. The main controller controls the power on and off and mode switching according to the switch signal. The LED light is connected to the main controller through a PWM controller to indicate the system's working status and battery power.

[0049] It is understandable that the human-computer interaction module is designed to realize the interaction function between the user and the device through the touch switch and LED light. The touch switch is connected to the main controller through the GPIO interface, which allows the user to easily control the power on and off and mode switching of the device, while the LED light is connected to the main controller through the PWM controller to indicate the working status and battery power of the system. PWM control can finely control the brightness and color of the LED light, thereby providing intuitive system status feedback. This design makes the operation of the device more intuitive and convenient, while providing clear visual feedback and enhancing the user experience.

[0050] The beneficial effects brought about by the technical solution provided by the embodiment of the present invention include at least:

[0051] (1) In the present invention, by adopting keyword triggering and multi-level sleep mechanism, the average power consumption of the system is greatly reduced. The intelligent adaptive power consumption control algorithm dynamically adjusts the working state according to the actual environmental conditions, so that the system can achieve continuous operation for more than several weeks in typical usage scenarios, greatly extending the battery life of the device;

[0052] (2) In the present invention, the adaptive power consumption control algorithm and the multiple wake-up mechanism ensure the effective operation of the system in various application scenarios. The multiple wake-up mechanism can effectively avoid missing important information and improve the reliability and practicality of the system.

[0053] (3) In the present invention, the storage efficiency is significantly improved by advanced data compression technology, so that more audio information can be recorded in limited storage space. In addition, the system supports customized keywords and working parameters, has a high degree of flexibility, and can adapt to different application requirements and usage scenarios.

[0054] Reference Manual Attached Figure 2 , showing a flow chart of a low-power intelligent recording system control method based on keyword triggering provided by an embodiment of the present invention.

[0055] The present invention also provides a low-power intelligent recording system control method based on keyword triggering, which is applied to the above-mentioned low-power intelligent recording system control method based on keyword triggering and may include the following steps:

[0056] S1, initialization phase: after the system is powered on or reset, it enters the initialization phase. The main controller loads the basic firmware and initializes all hardware components. The power management module optimizes the system power configuration to put the system into a low-power standby state. The wireless communication module is in a shutdown or low-power mode. The LED light flashes green or red to indicate that the system is in standby mode.

[0057] S2, keyword monitoring stage. After the initialization stage, the system enters the standby mode, continuously listens to the external human voice, and compares the keyword list in the internal firmware. The main controller controls the audio acquisition module to perform short-term audio sampling of the environment through the I2S interface. The sampled audio data is transmitted to the keyword recognition engine, and the sampled data is analyzed based on the algorithm of the lightweight neural network. If the target keyword is not detected, the system immediately returns to the standby state. If the keyword is detected, it goes to the next step.

[0058] S3, recording stage, if the keyword is detected, the system is fully awakened from the low power state, the main controller switches to the high performance mode, the main controller controls the audio acquisition module through the I2S interface to start continuous recording, the recording data is transmitted to the main controller in real time, the recording stage lasts for a preset time, during which the LED light continues to show blue, indicating that the system is in the recording state;

[0059] S4, data processing stage. After the recording stage, the system automatically enters the data processing stage. The main controller calls the data compression storage module to perform lossless audio compression on the recording data. The compressed audio data is written to the storage module through the SPI interface. At the same time, the main controller encrypts the data according to the preset security policy. After the data storage is completed, the main controller records the stored file information and activates the UART interface of the wireless communication module to upload the data to an external device or a cloud server.

[0060] S5, sleep stage, after data processing is completed, the system selects an appropriate sleep mode according to the current power status and environmental noise level. The main controller decides to enter shallow sleep mode or deep sleep mode through an adaptive power consumption control algorithm;

[0061] S6, wake-up phase: When the system is in sleep mode, the intelligent wake-up system of the main controller continuously monitors external conditions. When it detects a sound intensity exceeding the set threshold or the internal timer reaches the preset time, the main controller immediately wakes up the system, and the system re-enters the keyword monitoring phase, ready to respond to new recording requests.

[0062] It should be noted that the keyword recognition engine is developed based on lightweight neural networks and supports custom keywords. The keyword recognition module is embedded in the firmware of the main controller, obtains audio data through the audio interface of the main controller and processes it in real time. When the target keyword is recognized, the recognition engine notifies the main controller through the internal interrupt mechanism to perform corresponding operations, such as starting recording.

[0063] It should be further explained that the keyword recognition engine is based on audio signal processing technology, which detects pre-defined keywords by analyzing and identifying specific acoustic features in the audio. The audio signal is first pre-processed to remove background noise and perform feature extraction. The extracted acoustic features are matched with the trained neural network model, and the similarity is calculated to determine whether the audio contains the target keyword. Once the recognition is successful, the system will trigger the corresponding action, such as starting recording or executing other functions.

[0064] It should be noted that the adaptive power consumption control algorithm dynamically adjusts the system's operating cycle according to the ambient noise level and battery power. The power consumption control module in the main controller calculates the system's optimal operating mode by collecting ambient audio signals (through the audio acquisition module) and battery power data (through the power management module). The algorithm is implemented through software code and directly controls the operating frequency of the main controller, the read and write speed of the storage module, and the start time of the wireless communication module to reduce overall power consumption.

[0065] It should be further explained that the core of the adaptive power control algorithm is to dynamically adjust the power consumption mode of the device according to the environmental conditions and the current working status of the device. The algorithm evaluates the current power consumption requirements by monitoring the noise level, battery power and system load in real time, and adjusts the device's operating frequency, wake-up frequency and the operating status of functional modules accordingly. This dynamic adjustment not only optimizes the battery usage efficiency, but also ensures the stable operation of the device in different environments.

[0066] It should be noted that the intelligent wake-up system supports two modes: sound intensity wake-up and timed wake-up. The sound intensity wake-up is detected by the audio acquisition module and notified to the main controller through the I2S interface. The main controller randomly exits the sleep state. The timed wake-up function is implemented through the real-time clock (RTC) built into the main controller. When the RTC reaches the set time, the system is woken up by an interrupt signal.

[0067] It should be noted that the data compression storage module adopts a lossless audio compression algorithm to improve storage efficiency. The module is processed by the main controller, and the compressed data is stored in NAND Flash, that is, in the storage module, through the SPI interface. To ensure the integrity of the data, the compression storage module will perform a check before each data write to ensure that the compressed data is stored correctly.

[0068] It should be further explained that lossless audio compression algorithms are designed to compress the volume of audio data while ensuring that the audio quality is not affected after decompression. The algorithm analyzes the redundant information in the audio signal and uses efficient coding techniques (such as predictive coding or entropy coding) to compress the redundant parts, thereby reducing the space required for data storage and transmission. Since lossless compression does not lose any information when restoring, the decompressed audio data can be completely restored to a high-quality audio signal consistent with the original data.

[0069] In a possible implementation, the shallow sleep mode is to keep the audio acquisition module running at low power consumption, and the main controller and the wireless communication module are in a low frequency working state to enable rapid response;

[0070] Deep sleep means that all parts of the system are powered off except for the power management module and some low-power retention circuits of the main controller to reduce energy consumption.

[0071] In a possible implementation, during the entire workflow, the LED light is used to display different working states of the system: flashing green means the system is initializing or in standby, solid blue means the system is recording, and flashing red means low battery or a fault occurs.

[0072] In one possible implementation, the system is equipped with a capacitive touch switch that supports the following operations: a short press turns the recording function on or off, a long press switches the system mode, and the system mode includes standby and active recording modes. A double press forces the system into deep sleep or quickly wakes it up.

[0073] The keyword-triggered low-power intelligent recording system control method provided by the present invention can execute the above-mentioned keyword-triggered low-power intelligent recording system and achieve the same or similar technical effects. To avoid repetition, the present invention will not be described in detail.

[0074] The beneficial effects brought about by the technical solution provided by the embodiment of the present invention include at least:

[0075] (1) In the present invention, by adopting keyword triggering and multi-level sleep mechanism, the average power consumption of the system is greatly reduced. The intelligent adaptive power consumption control algorithm dynamically adjusts the working state according to the actual environmental conditions, so that the system can achieve continuous operation for more than several weeks in typical usage scenarios, greatly extending the battery life of the device;

[0076] (2) In the present invention, the adaptive power consumption control algorithm and the multiple wake-up mechanism ensure the effective operation of the system in various application scenarios. The multiple wake-up mechanism can effectively avoid missing important information and improve the reliability and practicality of the system.

[0077] (3) In the present invention, the storage efficiency is significantly improved by advanced data compression technology, so that more audio information can be recorded in limited storage space. In addition, the system supports customized keywords and working parameters, has a high degree of flexibility, and can adapt to different application requirements and usage scenarios.

[0078] The above contents are only specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art who is familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed by the present invention, which 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.

[0079] There are a few points to note:

[0080] (1) The drawings of the embodiments of the present invention only relate to the structures related to the embodiments of the present invention, and other structures may refer to the general design.

[0081] (2) For the sake of clarity, in the drawings used to describe the embodiments of the present invention, the thickness of the layers or regions is exaggerated or reduced, that is, these drawings are not drawn according to the actual scale. It is understood that when an element such as a layer, film, region or substrate is referred to as being "on" or "under" another element, the element may be "directly" "on" or "under" the other element or there may be intermediate elements.

[0082] (3) In the absence of conflict, the embodiments of the present invention and the features therein may be combined with each other to obtain new embodiments.

[0083] The above are only specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. The protection scope of the present invention shall be based on the protection scope of the claims.

Claims

1. A low-power intelligent recording system based on keyword triggering, characterized in that: include: Main controller, audio acquisition module, storage module, wireless communication module, human-computer interaction module and power management module. The main controller is connected to other modules through a multi-channel parallel I / O interface to ensure efficient data transmission and system response. Specifically: The I2S interface of the main controller is connected to the audio acquisition module for real-time transmission of audio signals; the SPI interface of the main controller is connected to the storage module for ensuring fast reading and writing of data; the UART interface of the main controller is connected to the wireless communication module to support data transmission of Wi-Fi and Bluetooth communication protocols; the GPIO interface of the main controller is connected to the human-computer interaction module to realize the detection of touch switches and the control of LED lights; the power management interface of the main controller is connected to the power management module for receiving and regulating the power supply status.

2. According to claim 1, a low-power intelligent recording system based on keyword triggering is characterized in that: include: The audio acquisition module includes a microphone and an analog-to-digital converter (ADC). The analog audio signal collected by the microphone is directly transmitted to the analog-to-digital converter through an internal connecting line. The analog-to-digital converter converts the analog signal into a digital signal. The digital signal output by the analog-to-digital converter is transmitted to the I2S interface of the main controller through an I2S bus, thereby realizing the acquisition and processing of high-quality audio data.

3. A low-power intelligent recording system based on keyword triggering according to claim 1, characterized in that: include: The storage module is connected to the main controller via an SPI interface, and the main controller directly accesses the storage module to perform data read and write operations. The storage module integrates an error correction code (ECC) function and is connected to the storage chip via internal electrical connections.

4. A low-power intelligent recording system based on keyword triggering according to claim 1, characterized in that: include: The wireless communication module supports Wi-Fi and Bluetooth communications, and is connected to the main controller via a UART interface. The wireless communication module also includes a power control unit, which is connected to the power management module to achieve low-power communication.

5. A low-power intelligent recording system based on keyword triggering according to claim 1, characterized in that: include: The power management module includes a low-power conversion circuit and a battery management system. The power management module and other hardware components are connected via a power bus to provide a stable power supply. The power conversion circuit is used to convert the battery voltage into the operating voltage required by each component, and is connected to the main controller and the power management system via a dedicated power distribution line. The battery management system monitors the battery filling and feeds back the battery power information to the main controller via the I2C interface. The main controller adjusts the power consumption mode according to the battery power information.

6. A low-power intelligent recording system based on keyword triggering according to claim 1, characterized in that: include: The human-computer interaction module includes the touch switch and the LED light. The touch switch is connected to the main controller via a GPIO interface. The main controller controls the power on and off and mode switching according to the switch signal. The LED light is connected to the main controller via a PWM controller to indicate the working status of the system and the battery power.

7. A low-power intelligent recording system control method based on keyword triggering, characterized in that: include: S1, initialization phase: after the system is powered on or reset, it enters the initialization phase. The main controller loads the basic firmware and initializes all hardware components. The power management module optimizes the system power configuration to put the system into a low-power standby state. The wireless communication module is in a shutdown or low-power mode. The LED light flashes green or red to indicate that the system is in standby mode. S2, keyword monitoring stage. After the initialization stage, the system enters the standby mode, continuously listens to the external human voice, and compares the keyword list in the internal firmware. The main controller controls the audio acquisition module to perform short-term audio sampling of the environment through the I2S interface. The sampled audio data is transmitted to the keyword recognition engine, and the sampled data is analyzed based on the algorithm of the lightweight neural network. If the target keyword is not detected, the system immediately returns to the standby state. If the keyword is detected, it goes to the next step. S3, recording stage, if the keyword is detected, the system is fully awakened from the low power state, the main controller switches to the high performance mode, the main controller controls the audio acquisition module through the I2S interface to start continuous recording, the recording data is transmitted to the main controller in real time, the recording stage lasts for a preset time, during which the LED light continues to show blue, indicating that the system is in the recording state; S4, data processing stage. After the recording stage, the system automatically enters the data processing stage. The main controller calls the data compression storage module to perform lossless audio compression on the recording data. The compressed audio data is written to the storage module through the SPI interface. At the same time, the main controller encrypts the data according to the preset security policy. After the data storage is completed, the main controller records the stored file information and activates the UART interface of the wireless communication module to upload the data to an external device or a cloud server. S5, sleep stage, after data processing is completed, the system selects an appropriate sleep mode according to the current power status and environmental noise level. The main controller decides to enter shallow sleep mode or deep sleep mode through an adaptive power consumption control algorithm; S6, wake-up phase: When the system is in sleep mode, the intelligent wake-up system of the main controller continuously monitors external conditions. When it detects a sound intensity exceeding the set threshold or the internal timer reaches the preset time, the main controller immediately wakes up the system, and the system re-enters the keyword monitoring phase, ready to respond to new recording requests.

8. The low-power intelligent recording system based on keyword triggering and its control method according to claim 1, characterized in that: include: The shallow sleep mode allows the audio acquisition module to maintain low power consumption, and the main controller and the wireless communication module to operate at a low frequency for quick response. The deep sleep is to cut off the power supply of other parts of the system except for the power management module and some low-power maintenance circuits of the main controller to reduce energy consumption.

9. The method for controlling a low-power intelligent recording system based on keyword triggering according to claim 1, characterized in that: include: Throughout the workflow, the LED light is used to display the different working states of the system. Flashing green means the system is initializing or in standby mode, solid blue means the system is recording, and flashing red means low battery or a fault occurs.

10. A low-power intelligent recording system control method based on keyword triggering, characterized in that: include: The system is equipped with a capacitive touch switch that supports the following operations: short press to turn the recording function on or off, long press to switch the system mode, which includes standby and active recording mode, and double press to force deep sleep or quickly wake up the system.

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