A solar powered voiceprint monitoring device and method

Abstract

The present application relates to the technical field of voiceprint monitoring, and specifically provides a solar-driven voiceprint monitoring device, which aims at the monitoring device of the present application, comprising: a sound intensity detection module is arranged on a control module, the sound intensity detection module is electrically connected with the control module; a voiceprint collection module is electrically connected with the control module; a voiceprint database module is electrically connected with the control module; a mobile data transmission module is communicatively connected with the control module; a solar power supply module is electrically connected with an energy storage battery module through an electrical connection, the energy storage battery module is electrically connected with the control module, the voiceprint collection module, the voiceprint database module and the mobile data transmission module, respectively, each module is electrically and communicatively connected with the control module, the structure is simple, the whole process of voiceprint collection, identification, storage and remote uploading can be stably completed in an unattended scene, and the device can be used for long-term operation in field ecological monitoring.

Description

Technical Field

[0001] This invention relates to the field of voiceprint monitoring technology, specifically providing a solar-powered voiceprint monitoring device and method. Background Technology

[0002] Currently, scenarios such as field ecological environment monitoring, species surveys in nature reserves, and forest area safety management require long-term, stable, and unattended monitoring of environmental sounds. Voiceprint monitoring, as an important means of ecological environment analysis, species identification, and early warning of abnormal sound sources, is applied in the field of unattended field monitoring. Most existing field voiceprint monitoring devices are powered by rechargeable batteries or mains power. In scenarios where there is no mains power, transportation is inconvenient, and there is no one to monitor for a long time, the battery life is limited, requiring frequent replacement or charging. This results in high maintenance costs and difficulties, making it difficult to achieve long-term continuous monitoring. Furthermore, field voiceprint monitoring devices only have audio acquisition and storage functions and cannot complete voiceprint feature extraction and automatic comparison and recognition on-site. They usually require manual post-processing and have a low level of intelligence.

[0003] Accordingly, there is a need in the art for a new solar-powered voiceprint monitoring device and method to solve the above-mentioned technical problems. Summary of the Invention

[0004] The present invention aims to solve the above-mentioned technical problems, namely, to solve the problem of poor intelligence in existing voiceprint monitoring devices.

[0005] In a first aspect, the present invention provides a solar-powered voiceprint monitoring device, the monitoring device comprising: The control module includes a sound intensity detection module electrically connected to the control module, which is used to collect ambient sound intensity signals in real time and transmit them to the control module. A voiceprint acquisition module, which is electrically connected to the control module, is used to acquire ambient sound signals when the device is woken up. A voiceprint database module, which is electrically connected to the control module, is used to store voiceprint feature data and provide it for comparison by the control module; A mobile data transmission module, which is communicatively connected to the control module, is used to upload monitoring data to the central laboratory data platform; A solar power supply module is electrically connected to an energy storage battery module, which is in turn electrically connected to the control module, the voiceprint acquisition module, the voiceprint database module, and the mobile data transmission module, respectively, to provide continuous power to the device. Based on the above setup, by using a solar power module in conjunction with an energy storage battery module, long-term self-sufficiency in the field without mains power can be achieved, overcoming the shortcomings of traditional batteries such as short battery life and frequent maintenance. Each module and the control module are electrically and communicatively connected, with a simple structure, and can stably complete the entire process of voiceprint collection, recognition, storage, and remote uploading in unattended scenarios, enabling long-term operation of field ecological monitoring.

[0006] In the preferred embodiment of the solar-powered voiceprint monitoring device described above, the control module is provided with a sound intensity comparison unit, the input terminal of the sound intensity comparison unit is electrically connected to the sound intensity detection module, and the output terminal of the sound intensity comparison unit is electrically connected to the voiceprint acquisition module.

[0007] Based on the above settings, the control module has a built-in sound intensity comparison unit, which can directly and quickly compare the signal input by the sound intensity detection module in real time without the need for an external processor. It has a fast response speed, lower power consumption, and can accurately realize the control logic of sound-triggered wake-up.

[0008] In the preferred embodiment of the solar-powered voiceprint monitoring device described above, the control module is equipped with a voiceprint feature extraction unit. The input end of the voiceprint feature extraction unit is electrically connected to the voiceprint acquisition module, and the output end of the voiceprint feature extraction unit is electrically connected to the voiceprint database module.

[0009] Based on the above settings, by setting up a voiceprint feature extraction unit in the control module, feature extraction can be completed without relying on the cloud, reducing data transmission pressure, lowering latency, improving recognition efficiency, and ensuring stable operation even in weak network environments in the wild.

[0010] In the preferred embodiment of the solar-powered voiceprint monitoring device described above, the control module is equipped with a data update unit, which is bidirectionally electrically connected to the voiceprint database module.

[0011] Based on the above settings, the control module is equipped with a data update unit and is bidirectionally connected to the voiceprint database, which enables automatic input, automatic updating and automatic iteration of voiceprint data. The database can be continuously expanded without manual operation, so that the device's recognition capability is continuously enhanced as the monitoring process progresses, thereby improving the integrity and accuracy of ecological monitoring data.

[0012] In the preferred embodiment of the solar-powered acoustic signature monitoring device described above, the acoustic intensity comparison unit is provided with an input interface, and the input threshold of the input interface is less than or equal to 20 decibels.

[0013] Based on the above settings, the sound intensity comparison unit is equipped with a low threshold input interface of ≤20 dB, which can sensitively capture weak environmental sounds in the wild, avoid missing low-volume biological sound signals such as birds and insects, improve the sensitivity and integrity of ecological monitoring, and maintain low power consumption triggering characteristics.

[0014] In a second aspect, the present invention provides a monitoring method for the solar-powered voiceprint monitoring device described in any one of the preceding claims, characterized in that the monitoring method comprises the following steps: S1: The solar power module performs photoelectric conversion and stores the converted electrical energy in the energy storage battery module to form a power supply circuit for the device. S2: Based on the power supply circuit, the sound intensity detection module continuously collects ambient sound pressure signals to obtain real-time sound pressure data; S3: Input the obtained real-time sound pressure data into the control module and compare it with a preset threshold. When the real-time sound pressure data is greater than the preset decibel threshold, output a wake-up level. S4: Based on the output wake-up level, the control module drives the voiceprint acquisition module to enter the working state, acquires the ambient audio signal, and obtains the raw audio data; S5: Input the obtained raw audio data into the control module, and obtain voiceprint feature data through signal processing; S6: Input the obtained voiceprint feature data into the voiceprint database, perform matching operations with the data in the database, and obtain the matching result; S7: Based on the matching results, write the unmatched voiceprint feature data into the voiceprint database to complete the database expansion; S8: Package the matching result with the expanded data and send it out through the mobile data transmission module; S9: Based on the completion status of the transmission, the control module shuts down the voiceprint acquisition module, causing the monitoring device to return to standby mode.

[0015] Based on the above settings and through the complete process described above, unmanned, low-power field acoustic signature monitoring can be achieved, which can operate stably for a long time without human intervention, significantly reducing the cost and maintenance difficulty of field monitoring.

[0016] In the preferred embodiment of the above monitoring method, the preset decibel threshold is set to 20 decibels; the sound intensity detection module maintains a periodic intermittent acquisition state when no wake-up is triggered.

[0017] Based on the above settings, the trigger threshold is set to 20 dB to ensure high sensitivity in capturing weak ambient sounds; at the same time, periodic intermittent sampling is adopted to significantly reduce power consumption when not triggered, further extending the device's battery life and improving its long-term field operation capability.

[0018] In the preferred technical solution of the above monitoring method, the original audio data is first subjected to noise reduction processing, and then voiceprint features are extracted; the sound source types matched in the voiceprint database include human voice, birds, insects, wild animals, wind, and rain.

[0019] Based on the above settings, noise reduction followed by voiceprint feature extraction can effectively filter out environmental noise such as wind, rain, and electrical interference, thereby improving the purity and recognition accuracy of voiceprint features. At the same time, it covers multiple sound sources such as human voices, birds and animals, wind and rain, meeting the full-scene monitoring needs of complex outdoor ecological environments.

[0020] In the preferred embodiment of the above monitoring method, "writing the unmatched voiceprint feature data into the voiceprint database according to the matching result to complete the database expansion" includes: After receiving the matching results from the voiceprint database module, if the matching result fails, it is determined to be a newly added voiceprint. The control module then sends a database update command to the internal data update unit. Upon receiving the command, the data update unit establishes a bidirectional data connection with the voiceprint database module, reads the newly added voiceprint feature data stored in the voiceprint database module, and automatically obtains the current acquisition time and monitoring point information. It then associates and annotates the acquisition time and monitoring point information with the newly added voiceprint feature data to form a complete newly added voiceprint record. Subsequently, the data update unit writes the newly added voiceprint record into the voiceprint database module, completing the automatic expansion and update of the database. After the update is completed, the voiceprint database module sends an update success signal back to the control module, and the control module records the update information for subsequent data uploads. If the matching result is successful, the database update operation is not performed, and the process proceeds directly to the next step.

[0021] Based on the above settings, the voiceprint database can be autonomously iterated, improving the device's voiceprint recognition capabilities and adapting to the monitoring needs of different field scenarios.

[0022] In the preferred technical solution of the above monitoring method, the expanded data is uploaded via cellular mobile network using an encrypted packaging method; the monitoring device automatically clears temporary cache data before entering sleep mode.

[0023] Based on the above settings, encrypted packaging and uploading are used to ensure data transmission security and prevent monitoring data leakage or tampering; temporary cache is automatically cleared before hibernation to release storage space, avoid redundant data accumulation, and ensure long-term stable operation of the device without lag. Attached Figure Description

[0024] The preferred embodiments of the present invention are described below with reference to the accompanying drawings, in which: Figure 1 The overall structural module framework diagram of the present invention is shown; Figure 2A flowchart of the monitoring method steps of the present invention is shown; Detailed Implementation

[0025] Preferred embodiments of the present invention will now be described with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are merely illustrative of the technical principles of the invention and are not intended to limit the scope of protection of the invention. Those skilled in the art can make adjustments as needed to adapt to specific applications.

[0026] It should be noted that in the description of this invention, the terms "center," "upper," "lower," "left," "right," "inner," and "outer," which indicate directional or positional relationships, are based on the directional or positional relationships shown in the accompanying drawings. These are merely for ease of description and do not indicate or imply that the structure must have a specific orientation, or be constructed and operated in a specific orientation; therefore, they should not be construed as limitations on this invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0027] Furthermore, it should be noted that, in the description of this invention, unless otherwise explicitly specified and limited, the terms "connected," "connected," and "linked" should be interpreted broadly. For example, they can refer to a fixed connection or a detachable 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 invention according to the specific circumstances.

[0028] This invention provides a solar-powered voiceprint monitoring device, the monitoring device comprising: The control module is equipped with a sound intensity detection module, which is electrically connected to the control module and is used to collect ambient sound intensity signals in real time and transmit them to the control module. The voiceprint acquisition module is electrically connected to the control module and is used to acquire ambient sound signals when the device is woken up. The voiceprint database module is electrically connected to the control module and is used to store voiceprint feature data for the control module to call and compare. The mobile data transmission module is connected to the control module and is used to upload monitoring data to the central laboratory data platform. The solar power module is electrically connected to an energy storage battery module, which in turn is electrically connected to the control module, voiceprint acquisition module, voiceprint database module, and mobile data transmission module, providing continuous power to the device. By combining solar power modules with energy storage battery modules, long-term self-sufficiency in environments without mains power can be achieved, overcoming the shortcomings of traditional batteries such as short battery life and frequent maintenance. Each module and the control module are electrically and communicatively connected, with a simple structure, and can stably complete the entire process of voiceprint collection, recognition, storage, and remote uploading in unattended scenarios, enabling long-term operation of ecological monitoring in the wild.

[0029] Furthermore, the control module is equipped with a sound intensity comparison unit. The input of the sound intensity comparison unit is electrically connected to the sound intensity detection module, and the output of the sound intensity comparison unit is electrically connected to the voiceprint acquisition module. The control module has a built-in sound intensity comparison unit, which can directly compare the signal input by the sound intensity detection module quickly and in real time without the need for an external processor. It has a fast response speed, lower power consumption, and can accurately realize the control logic of sound-triggered wake-up.

[0030] Furthermore, the control module is equipped with a voiceprint feature extraction unit. The input end of the voiceprint feature extraction unit is electrically connected to the voiceprint acquisition module, and the output end of the voiceprint feature extraction unit is electrically connected to the voiceprint database module. By setting the voiceprint feature extraction unit in the control module, feature extraction can be completed without relying on the cloud, reducing data transmission pressure, reducing latency, improving recognition efficiency, and ensuring stable operation in weak network environments in the wild.

[0031] Furthermore, the control module is equipped with a data update unit, which is bidirectionally electrically connected to the voiceprint database module. The control module's data update unit and bidirectional connection to the voiceprint database enable automatic input, automatic updating, and automatic iteration of voiceprint data. The database can be continuously expanded without manual operation, thereby enhancing the device's recognition capability as the monitoring process progresses and improving the completeness and accuracy of ecological monitoring data.

[0032] Furthermore, the sound intensity comparison unit is equipped with an input interface with an input threshold of less than or equal to 20 dB. The sound intensity comparison unit is configured with a low threshold input interface of ≤20 dB, which can sensitively capture weak environmental sounds in the wild, avoid missing low-volume biological sound signals such as birds and insects, improve the sensitivity and integrity of ecological monitoring, and at the same time maintain low power consumption triggering characteristics.

[0033] The present invention also provides a monitoring method for the solar-powered voiceprint monitoring device according to any of the above claims, characterized in that the monitoring method includes the following steps.

[0034] S1: The solar power module performs photoelectric conversion and stores the converted electrical energy in the energy storage battery module to form a power supply circuit for the device. S2: Based on the power supply circuit, the sound intensity detection module continuously collects ambient sound pressure signals to obtain real-time sound pressure data; S3: Input the obtained real-time sound pressure data into the control module and compare it with the preset threshold. When the real-time sound pressure data is greater than the preset decibel threshold, output the wake-up level. S4: Based on the output wake-up level, the control module drives the voiceprint acquisition module to enter the working state, acquires the ambient audio signal, and obtains the raw audio data; S5: Input the obtained raw audio data into the control module, and obtain voiceprint feature data through signal processing; S6: Input the obtained voiceprint feature data into the voiceprint database, perform matching operations with the data in the database, and obtain the matching results; S7: Based on the matching results, write the unmatched voiceprint feature data into the voiceprint database to complete the database expansion; S8: Package the matching results with the expanded data and send them out through the mobile data transmission module; S9: Based on the completion status of the transmission, the control module shuts down the voiceprint acquisition module, causing the monitoring device to return to standby mode.

[0035] Through the above complete process, unmanned, low-power field acoustic signature monitoring can be achieved, which can operate stably for a long time without human intervention, greatly reducing the cost and maintenance difficulty of field monitoring.

[0036] Furthermore, the preset decibel threshold is set to 20 decibels; the sound intensity detection module maintains a periodic intermittent acquisition state when not triggered to ensure high sensitivity capture of weak ambient sounds by setting the trigger threshold to 20 decibels; at the same time, the periodic intermittent acquisition significantly reduces power consumption when not triggered, further extending the device's battery life and improving its long-term field operation capability.

[0037] Furthermore, the original audio data is first denoised, and then voiceprint features are extracted. The voiceprint database matches sound source types including human voices, birds, insects, wild animals, wind, and rain. Denoising before extracting voiceprint features can effectively filter out environmental noise such as wind, rain, and electrical interference, improving the purity and recognition accuracy of voiceprint features. At the same time, it covers multiple sound sources such as human voices, birds, wild animals, wind, and rain, meeting the full-scene monitoring needs of complex ecological environments in the wild.

[0038] Furthermore, the duration of ambient audio acquisition is a preset fixed duration, and recording automatically stops after acquisition. Using a preset fixed duration for audio acquisition avoids long periods of invalid recording, controls data volume, reduces storage pressure, and reduces power consumption. Automatically stopping recording after acquisition further optimizes the device's operating efficiency and battery life.

[0039] Furthermore, the expanded data packaging uses encrypted packaging to upload data via cellular mobile networks; the monitoring device automatically clears temporary cache data before entering sleep mode, and uses encrypted packaging for uploading to ensure data transmission security and prevent monitoring data leakage or tampering; the temporary cache is automatically cleared before sleep mode to release storage space, avoid redundant data accumulation, and ensure long-term stable operation of the device without lag.

[0040] In this application, the control module adopts a low-power microcontroller, which has data processing, signal judgment, module driving, and sleep / wake-up management functions; the control module is equipped with a sound intensity comparison unit, a voiceprint feature extraction unit, and a data update unit, which are used for sound intensity threshold comparison, voiceprint feature extraction, and automatic database update, respectively; the control module is electrically connected to the sound intensity detection module, the voiceprint acquisition module, the voiceprint database module, and the mobile data transmission module, respectively, to uniformly control the operation of each module; The sound intensity detection module is mounted on the control module's mounting panel and electrically connected to it via pins. Its core component is a high-sensitivity sound pressure sensor, characterized by high detection accuracy, low power consumption, and fast response. This sensor can accurately capture weak sound pressure signals in the field, fully meeting the detection requirements for weak sound sources. The main function of the sound intensity detection module is to collect sound pressure signals from the field environment in real time and convert the collected analog sound pressure signals into digital electrical signals. These signals are then transmitted to the control module's signal input terminal via the signal output terminal, providing raw data for subsequent threshold comparison and wake-up control. When the device is in standby mode, the sound intensity detection module does not stop working but maintains a periodic intermittent acquisition mode, acquiring environmental sound pressure signals every 5-10 seconds for a duration of 0.5 seconds, further extending the device's battery life and avoiding unnecessary energy consumption. The voiceprint acquisition module is electrically connected to the drive output of the control module. The control module activates or deactivates the module based on a wake-up signal. Its core component is a wideband microphone with a pickup frequency range of 100Hz to 10kHz. This microphone can clearly capture various environmental sound signals, including human voices, birdsong, insects, wild animals, wind, and rain. It boasts strong anti-interference capabilities and clear sound quality, effectively filtering out some environmental noise to ensure the integrity and accuracy of the acquired raw audio data. The voiceprint acquisition module's operation is entirely controlled by the control module. When no wake-up signal is received, it remains in sleep mode and consumes no power. Upon receiving a wake-up signal from the control module, it immediately enters working mode and acquires environmental audio signals for a preset fixed duration. The acquisition duration can be preset to 3-10 seconds based on actual monitoring needs. Recording automatically stops after acquisition to avoid storage waste and power consumption due to prolonged ineffective recording. The acquired raw audio data is transmitted to the voiceprint feature extraction unit of the control module via the audio output for subsequent feature extraction processing. The voiceprint database module is electrically connected to the control module and uses a non-volatile memory chip. This chip has a large storage capacity, fast read speed, and can stably store voiceprint feature data for a long time. The module has a built-in basic voiceprint feature library, which pre-stores voiceprint feature data for basic sound sources such as human voices, common birds, insects, wild animals, wind sounds, and rain sounds, providing basic data support for voiceprint comparison and recognition. The voiceprint database module supports local fast read, comparison, write, and update operations. It can complete voiceprint feature comparison and recognition in conjunction with the control module in environments without network access, without relying on a cloud server, effectively solving the problem of voiceprint recognition being impossible in weak or no-network environments. Simultaneously, this module is bidirectionally electrically connected to the data update unit within the control module, enabling it to receive newly added voiceprint feature data transmitted by the data update unit and complete data writing and archiving. This allows for automatic iterative expansion of the voiceprint database, continuously improving the device's voiceprint recognition capability during monitoring and adapting to the monitoring needs of different field scenarios. The mobile data transmission module is connected to the control module and uses a cellular mobile network communication unit to encrypt and package the voiceprint recognition results, updated database information, monitoring point information, and collection time information, and then upload them to the central laboratory data platform to realize remote data interaction and ecological monitoring and analysis. The solar power module uses high-efficiency photovoltaic panels, such as monocrystalline silicon photovoltaic panels, with a rated output power of 30W~50W, a rated operating voltage of 12V, a rated output current of 2.5A~4.2A, a photoelectric conversion efficiency of ≥20%, and an operating temperature range of -20℃~60℃, making it suitable for high and low temperature outdoor environments. This photovoltaic panel can achieve efficient photoelectric conversion under various lighting conditions, including sunny days, cloudy days, and low light. In low light conditions, it can achieve low-power charging of 5W~10W, meeting basic power replenishment needs on cloudy or rainy days. The solar power module has three main functions: photoelectric conversion, voltage regulation output, and charging management. It has a built-in voltage regulation circuit and charging management chip, which can regulate the converted electrical energy to output a stable 12V DC voltage, preventing voltage fluctuations from damaging the modules. Simultaneously, the charging management chip can intelligently manage the charging of the energy storage battery module, controlling the charging current of 0.5A~1A and the charging voltage of 13.8V to prevent overcharging and overcurrent of the energy storage battery, extending its lifespan. The power output terminal of the solar power module is electrically connected to the charging input terminal of the energy storage battery module, and the converted power is transmitted to the energy storage battery module for storage to achieve power reserve. Combined with the capacity configuration of the energy storage battery module, it ensures that the device can continue to work stably at night or in continuous rainy weather. The energy storage battery module is electrically connected to the solar power module. It uses a rechargeable lithium iron phosphate battery pack with a rated nominal voltage of 12V, a rated battery capacity of 10000mAh~20000mAh, a rated discharge current of 1A~2A, a cycle life of ≥1000 cycles, and an operating temperature range of -20℃~55℃, making it suitable for complex outdoor environments. The module features overcharge protection, over-discharge protection, overcurrent protection, and short-circuit protection, with built-in protection circuitry to effectively prevent battery overcharging, over-discharging, overcurrent, and short circuits, avoiding battery damage and ensuring the safe and stable operation of the device. The power output of the energy storage battery module is electrically connected to the power input of the control module, sound intensity detection module, voiceprint acquisition module, voiceprint database module, and mobile data transmission module, forming a complete power supply circuit to provide continuous and stable DC power to all modules. In a fully charged state, under conditions of no sunlight and relying solely on battery power, the device can operate in standby mode with intermittent sound intensity acquisition and the other modules in sleep mode. It can operate continuously for 7-15 days, meeting the continuous power supply needs during prolonged cloudy or rainy weather in the field, completely eliminating dependence on mains power and enabling long-term unattended operation. Under sufficient sunlight, the solar power module supplies power to all modules while simultaneously charging the energy storage battery module; under no sunlight, the energy storage battery module supplies power to each module independently, achieving continuous power supply around the clock.

[0041] When this invention is in operation, it is carried out according to the following steps: S1: First, install the solar power module in a sunny location at the field monitoring point to ensure that the photovoltaic panel can receive sufficient sunlight. After the solar power module is started, it begins photoelectric conversion, converting the solar energy in the field into DC power. The converted power is then transmitted to the charging input terminal of the energy storage battery module through wires. After receiving the power, the energy storage battery module charges under the control of the charging management chip. During the charging process, the charging management chip monitors the battery voltage and charging current in real time. When the battery voltage reaches the rated voltage, it automatically stops charging to prevent overcharging and damage to the battery. At the same time, the power output terminal of the energy storage battery module begins to supply power to the control module, sound intensity detection module, voiceprint acquisition module, voiceprint database module, and mobile data transmission module. After each module receives the power, it completes initialization and enters standby mode. At this point, the power supply circuit of the entire device is completed, achieving continuous and stable power supply.

[0042] S2: After initialization, the sound intensity detection module immediately enters the working state, adopting a periodic intermittent acquisition mode to acquire environmental sound pressure signals. The specific acquisition parameters are: acquisition interval of 5~10 seconds, single acquisition duration of 0.5 seconds, and the acquired sound pressure signal range of 10dB~120dB. The sound intensity detection module converts the acquired analog sound pressure signal into a digital electrical signal through an internal A / D converter. After filtering, noise interference in the signal is removed to ensure the accuracy of the sound pressure data. Subsequently, the sound intensity detection module continuously transmits the processed real-time sound pressure data to the signal input of the control module through the signal output terminal for the control module to perform subsequent threshold comparison.

[0043] S3: After receiving the real-time sound pressure data transmitted by the sound intensity detection module, the control module transmits the data to the internal sound intensity comparison unit. The sound intensity comparison unit calls the preset decibel threshold and compares the real-time sound pressure data with the preset threshold in real time. If the real-time sound pressure data is less than or equal to the preset threshold, it is determined that there is no effective sound source. The sound intensity comparison unit outputs a low-level signal, the voiceprint acquisition module remains in sleep mode, and the device continues to maintain standby monitoring. If the real-time sound pressure data is greater than the preset threshold, it is determined that there is an effective sound source. The sound intensity comparison unit immediately outputs a high-level wake-up signal. This wake-up signal is transmitted to the control enable terminal of the voiceprint acquisition module. At the same time, the control module drives the power switch of the voiceprint acquisition module to turn on, triggering the voiceprint acquisition module to start and enter the working state.

[0044] S4: After receiving the wake-up signal, the voiceprint acquisition module immediately starts working and collects environmental audio signals according to the preset fixed collection duration. During the collection process, the wideband microphone clearly captures various sounds in the environment, converts the sound signals into analog audio signals, and after internal signal amplification and filtering, converts them into digital audio data, i.e., raw audio data. After the collection duration reaches the preset value, the voiceprint acquisition module automatically stops recording to avoid invalid recording occupying storage resources and power consumption. Subsequently, the voiceprint acquisition module transmits the collected raw audio data to the voiceprint feature extraction unit inside the control module in one go through the audio output terminal, completing the audio acquisition work. The voiceprint acquisition module is temporarily in standby mode, waiting for the next instruction from the control module.

[0045] S5: After receiving the raw audio data transmitted by the voiceprint acquisition module, the voiceprint feature extraction unit first preprocesses the raw audio data. The first step is noise reduction, using an adaptive filtering algorithm to filter out environmental noise in the raw audio data and retain the effective sound signal. The second step is gain equalization, adjusting the amplitude of the audio signal to keep it within a stable range, avoiding the impact of excessively large or small signal amplitude on the feature extraction effect. After preprocessing, the voiceprint feature extraction unit uses the Mel-frequency cepstral coefficient algorithm to extract voiceprint feature parameters from the raw audio data, including frequency features, amplitude features, and spectral features. These feature parameters are then standardized to form voiceprint feature data in a unified format. After feature extraction, the voiceprint feature extraction unit transmits the extracted voiceprint feature data to the voiceprint database module for subsequent comparison and recognition.

[0046] S6: After receiving the voiceprint feature data transmitted by the voiceprint feature extraction unit, the voiceprint database module immediately starts the matching operation process. First, the voiceprint database module calls the basic voiceprint feature data stored in the database and compares the data in the database with the newly added voiceprint feature data one by one. The comparison uses the Euclidean distance algorithm to calculate the similarity between the two. If the similarity is greater than the preset threshold, it is determined that the match is successful, the sound source type is determined, and the matching result is fed back to the control module. If the similarity is less than or equal to the preset threshold, it is determined that the match is unsuccessful, the voiceprint feature is determined to be a newly added voiceprint, the result of the unsuccessful match is fed back to the control module, and the newly added voiceprint feature data is saved for subsequent database updates.

[0047] S7: After receiving the matching result from the voiceprint database module, if the matching result fails, it is determined to be a newly added voiceprint. The control module sends a database update command to the internal data update unit. After receiving the command, the data update unit establishes a bidirectional data connection with the voiceprint database module, reads the newly added voiceprint feature data stored in the voiceprint database module, and automatically obtains the current acquisition time and monitoring point information. It then associates and annotates the acquisition time and monitoring point information with the newly added voiceprint feature data to form a complete newly added voiceprint record. Subsequently, the data update unit writes the newly added voiceprint record into the voiceprint database module, completing the automatic expansion and update of the database. After the update is completed, the voiceprint database module sends an update success signal to the control module, and the control module records the update information for subsequent data upload. If the matching result is successful, the database update operation is not performed, and the process proceeds directly to the next step.

[0048] S8: After receiving the matching results and database update signal from the voiceprint database module, the control module begins to aggregate the monitoring data. The aggregated data includes: voiceprint recognition results, matching similarity, acquisition time, monitoring point information, newly added voiceprint feature data, and database update records. After the data aggregation is completed, the control module transmits the aggregated data to the mobile data transmission module. After receiving the data, the mobile data transmission module uses the AES encryption algorithm to encrypt the data to prevent data leakage or tampering during transmission. After encryption, the data is packaged into a standard data frame. Subsequently, the mobile data transmission module establishes a remote communication connection with the central laboratory data platform through the 4G cellular mobile network and uploads the packaged data frame to the central laboratory data platform in real time. During the data upload process, the mobile data transmission module monitors the upload status in real time. If the upload fails, it immediately re-uploads until the upload is successful. After successful upload, the mobile data transmission module sends an upload success signal back to the control module, completing the data upload process.

[0049] S9: After receiving the upload success signal from the mobile data transmission module, the control module immediately executes the sleep control command: First, the control module outputs a low-level signal to turn off the power of the voiceprint acquisition module, and the voiceprint acquisition module enters sleep mode, ceasing to consume power; Second, the control module controls the device to clear the temporary raw audio buffer data generated in this acquisition, releasing storage resources, avoiding redundant data accumulation, and ensuring long-term stable operation of the device; Finally, the control module itself enters a low-power sleep mode, retaining only the periodic intermittent acquisition function of the sound intensity detection module, and the entire device returns to standby monitoring mode, waiting for the next sound intensity signal to trigger and enter the next round of monitoring process.

[0050] The technical solutions of the present invention have been described in conjunction with the optional embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will all fall within the scope of protection of the present invention.

Claims

1. A solar-powered voiceprint monitoring device, characterized in that, The monitoring device includes: The control module includes a sound intensity detection module electrically connected to the control module, which is used to collect ambient sound intensity signals in real time and transmit them to the control module. A voiceprint acquisition module, which is electrically connected to the control module, is used to acquire ambient sound signals when the device is woken up. A voiceprint database module, which is electrically connected to the control module, is used to store voiceprint feature data and provide it for comparison by the control module; A mobile data transmission module, which is communicatively connected to the control module, is used to upload monitoring data to the central laboratory data platform; A solar power supply module is electrically connected to an energy storage battery module, which is electrically connected to the control module, the voiceprint acquisition module, the voiceprint database module, and the mobile data transmission module, respectively, to provide continuous power to the device.

2. The solar-powered voiceprint monitoring device according to claim 1, characterized in that, The control module is equipped with a sound intensity comparison unit. The input terminal of the sound intensity comparison unit is electrically connected to the sound intensity detection module, and the output terminal of the sound intensity comparison unit is electrically connected to the voiceprint acquisition module.

3. The solar-powered voiceprint monitoring device according to claim 1, characterized in that, The control module is equipped with a voiceprint feature extraction unit. The input end of the voiceprint feature extraction unit is electrically connected to the voiceprint acquisition module, and the output end of the voiceprint feature extraction unit is electrically connected to the voiceprint database module.

4. The solar-powered voiceprint monitoring device according to claim 1, characterized in that, The control module is equipped with a data update unit, which is bidirectionally electrically connected to the voiceprint database module.

5. The solar-powered voiceprint monitoring device according to claim 2, characterized in that, The sound intensity comparison unit is provided with an input interface, and the input threshold of the input interface is less than or equal to 20 decibels.

6. A monitoring method for the solar-powered voiceprint monitoring device according to any one of claims 1 to 5, characterized in that, The monitoring method includes the following steps: The device utilizes a solar power module for photoelectric conversion and stores the converted electrical energy in an energy storage battery module to form a power supply circuit. Based on the power supply circuit, the sound intensity detection module continuously collects ambient sound pressure signals to obtain real-time sound pressure data; The obtained real-time sound pressure data is input into the control module and compared with a preset threshold. When the real-time sound pressure data is greater than the preset decibel threshold, a wake-up level is output. Based on the output wake-up level, the control module drives the voiceprint acquisition module to enter the working state, acquires environmental audio signals, and obtains raw audio data; The obtained raw audio data is input into the control module, and signal processing is performed to obtain voiceprint feature data. The obtained voiceprint feature data is input into the voiceprint database and matched with the data in the database to obtain the matching result. Based on the matching results, the unmatched voiceprint feature data is written into the voiceprint database to complete the database expansion; The matching results are packaged with the expanded data and sent out via the mobile data transmission module; Based on the completion status of the transmission, the control module shuts down the voiceprint acquisition module, causing the monitoring device to return to standby mode.

7. The monitoring method according to claim 6, characterized in that, The preset decibel threshold is set to 20 decibels; the sound intensity detection module maintains a periodic intermittent acquisition state when no wake-up is triggered.

8. The monitoring method according to claim 6, characterized in that, The original audio data is first subjected to noise reduction processing, and then voiceprint features are extracted; the sound source types matched in the voiceprint database include human voice, birds, insects, wild animals, wind, and rain.

9. The monitoring method according to claim 6, characterized in that, "Based on the matching results, the unmatched voiceprint feature data is written into the voiceprint database to complete the database expansion" includes: After receiving the matching results from the voiceprint database module, if the matching result fails, it is determined to be a newly added voiceprint. The control module then sends a database update command to the internal data update unit. Upon receiving the command, the data update unit establishes a bidirectional data connection with the voiceprint database module, reads the newly added voiceprint feature data stored in the voiceprint database module, and automatically obtains the current acquisition time and monitoring point information. It then associates and annotates the acquisition time and monitoring point information with the newly added voiceprint feature data to form a complete newly added voiceprint record. Subsequently, the data update unit writes the newly added voiceprint record into the voiceprint database module, completing the automatic expansion and update of the database. After the update is completed, the voiceprint database module sends an update success signal back to the control module, and the control module records the update information for subsequent data uploads. If the matching result is successful, the database update operation is not performed, and the process proceeds directly to the next step.

10. The monitoring method according to claim 6, characterized in that, The expanded data is uploaded via cellular network using encrypted packaging; temporary cache data is automatically cleared before the monitoring device enters sleep mode.

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