A warehouse pest monitoring device based on voiceprint recognition

Abstract

The utility model mentions a kind of granary pest monitoring device based on voiceprint identification, including waterproof probe shell, microphone array, preamplifier circuit, waterproof connecting line and central processing unit, microphone array is packaged with preamplifier circuit and is set in waterproof probe shell interior, waterproof connecting line is used to connect waterproof probe shell with central processing unit, waterproof probe shell is made of stainless steel material, waterproof probe shell surface is equipped with multiple acoustic sound transmission hole, the inside filling of waterproof probe shell has acoustic coupling material, acoustic impedance of acoustic coupling material is matched with grain pile medium, preamplifier circuit is electrically connected with central processing unit by wire, central processing unit includes analog-digital conversion module, digital signal processing module and voiceprint identification module, in general the utility model has the advantages of reasonable structure, reliable identification, convenient installation and long-term operation stability.

Description

Technical Field

[0001] This utility model belongs to the technical field of grain storage safety monitoring equipment, specifically relating to a grain storage pest monitoring device based on voiceprint recognition. Background Technology

[0002] During long-term grain storage, grain piles are highly susceptible to infestations of pests such as corn weevils, grain borers, and rice weevils. These pests feed and burrow within the grain piles, causing not only a decline in grain quality and weight loss but also a chain reaction of mold, heat generation, and clumping. In severe cases, they can even cause spontaneous combustion of the grain pile. To prevent the spread of pests, existing grain depots typically use temperature and humidity monitoring, carbon dioxide concentration detection, or manual sampling to assess pest infestation, combined with periodic fumigation for pest control. While these methods provide some reference, they are mostly indirect indicators with delayed responses. Furthermore, manual sampling can damage the grain pile structure and increase workload, making continuous and accurate pest detection difficult.

[0003] In recent years, some studies have proposed using voiceprint recognition technology to determine pest infestation levels by collecting the faint sounds produced by pest activity, thus achieving a non-contact, non-destructive detection method. While this technology can identify the activity sounds of some insect species under experimental conditions, its effectiveness is limited in actual grain storage environments. On the one hand, existing devices mostly use airborne sound acquisition methods. If the microphone is placed on the surface of the grain pile or the top of the storage silo, it is greatly affected by environmental noise, mechanical vibration, and signal propagation distance. On the other hand, grain piles are multiphase media composed of solid particles, air, and moisture. Sound waves undergo strong attenuation and scattering when propagating inside, resulting in extremely weak effective signals. Moreover, existing microphone structures generally lack moisture-proof, dust-proof, and acoustic impedance matching designs. After long-term operation, they are prone to moisture damage, malfunction, or blockage, leading to unstable monitoring results and difficulty in long-term operation in high-humidity and high-dust environments. Therefore, existing acoustic monitoring systems still have significant shortcomings in terms of device structure, signal acquisition depth, and environmental adaptability, making it difficult to meet the pest monitoring needs in actual grain storage scenarios.

[0004] To address this, we propose a grain storage pest monitoring device based on voiceprint recognition, which can efficiently collect and reliably transmit the sound of pest activity inside the grain pile, solving the problems of large signal attenuation, strong noise interference, insufficient detection depth, and poor equipment reliability in existing technologies. Utility Model Content

[0005] In view of this, this utility model proposes a grain storage pest monitoring device based on voiceprint recognition, which is applied to the field of grain storage safety monitoring equipment technology, and solves the existing technical problems of large monitoring signal attenuation, strong noise interference, insufficient detection depth and poor equipment reliability.

[0006] To achieve the above-mentioned technical objectives, the specific technical solution adopted by this utility model is as follows: A grain storage pest monitoring device based on voiceprint recognition includes a waterproof probe housing, a microphone array, a pre-amplifier signal processing circuit, a waterproof connecting cable, and a central processing unit. The microphone array and the pre-amplifier signal processing circuit are encapsulated inside the waterproof probe housing. The waterproof connecting cable connects the waterproof probe housing to the central processing unit. The waterproof probe housing is made of stainless steel and has multiple acoustic holes on its surface. The interior of the waterproof probe housing is filled with an acoustic coupling material whose acoustic impedance matches the medium of the grain pile to improve the transmission efficiency of sound signals between the probe and the grain pile. The pre-amplifier signal processing circuit is electrically connected to the central processing unit via wires to form a continuous signal transmission channel from the microphone array to the central processing unit. The central processing unit includes an analog-to-digital conversion module, a digital signal processing module, and a voiceprint recognition module. The analog-to-digital conversion module converts analog signals into digital signals, the digital signal processing module performs signal filtering and feature extraction, and the voiceprint recognition module identifies pests based on their acoustic characteristics.

[0007] Furthermore, the microphone array includes at least two MEMS (microelectromechanical systems) microphones arranged along the probe axis, with the frequency response range of the MEMS microphones being 2kHz to 20kHz.

[0008] Furthermore, the pre-amplifier signal processing circuit includes a preamplifier and a bandpass filter for filtering out power frequency interference and low-frequency noise.

[0009] Furthermore, the waterproof connection cable contains signal and power cables, is covered with a waterproof sheath, and connects to the central processing unit via a dustproof connector.

[0010] Furthermore, the outer wall of the waterproof probe housing is equipped with a reinforcing rib structure to improve the mechanical strength when the probe is inserted or removed.

[0011] Furthermore, both the central processing unit and the waterproof probe housing are mounted on a mounting bracket fixed to the inner wall of the grain silo. The central processing unit is located on the lateral side of the waterproof probe housing and is fixed to the waterproof probe housing. The bottom of the bracket is equipped with vibration damping pads to reduce the impact of mechanical vibration on the acquisition of acoustic signals.

[0012] Furthermore, a flexible ribbon cable is used to connect the microphone array and the pre-amplifier signal processing circuit to reduce the stress of the solder joints caused by thermal expansion and contraction.

[0013] Furthermore, the waterproof probe housing has a heat conduction channel inside to maintain a stable operating temperature for the microphone array and prevent condensation from affecting acoustic performance.

[0014] By adopting the above technical solution, this utility model can also bring the following beneficial effects: 1. This utility model discloses a grain warehouse pest monitoring device based on voiceprint recognition. By adopting a pointed cone-shaped waterproof probe housing structure, the waterproof probe housing can be easily inserted into the grain pile for point monitoring. The reinforcing rib structure set on the outer wall of the waterproof probe housing effectively improves the overall mechanical strength and installation stability, avoiding deformation and loosening during insertion and removal. At the same time, the waterproof and dustproof encapsulation design ensures that the device can still operate stably for a long time in the high humidity and high dust grain warehouse environment, and has the advantages of stable structure and strong adaptability.

[0015] 2. This utility model mentions a grain storage pest monitoring device based on voiceprint recognition. By filling the inside of the waterproof probe housing with acoustic coupling material, its acoustic impedance matches the medium of the grain pile, significantly reducing sound energy reflection and scattering loss. Each microphone in the microphone array is arranged along the probe axis. Combined with a multi-channel MEMS (microelectromechanical system) microphone array connected to the pre-amplifier signal processing circuit, the amplification and filtering of the pest activity sound can be realized. It can effectively suppress power frequency interference and environmental noise, improve the transmission efficiency and acquisition sensitivity of the sound signal, and has the advantages of large monitoring depth and accurate signal recognition.

[0016] 3. This utility model mentions a grain warehouse pest monitoring device based on voiceprint recognition. A continuous signal transmission channel is formed between the waterproof connecting line and the central processing unit. By setting an analog-to-digital conversion module, a digital signal processing module and a voiceprint recognition module in the central processing unit, and combining the anti-vibration installation structure, flexible wiring and heat conduction channel design, the influence of mechanical vibration and temperature changes on the sound signal acquisition is effectively reduced, ensuring the stability and reliability of the monitoring data output. It has the advantages of strong anti-interference ability and long-term stable operation. Attached Figure Description

[0017] To more clearly illustrate the technical solutions of the embodiments of this utility model, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this utility model. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 This is a schematic diagram of the structure of a grain storage pest monitoring device based on voiceprint recognition mentioned in this utility model; Figure 2 This is a schematic diagram of the connection structure between the microcontroller board and the wireless module housing in this embodiment; In the diagram: 1. Waterproof probe housing; 2. Pre-amplifier circuit board; 3. Microphone array; 4. Mounting bracket; 5. Signal cable; 6. Power cable; 7. Wireless module housing; 8. Processor; 9. Microcontroller board; 10. Screw holes; 11. Stainless steel mesh. Detailed Implementation

[0019] The embodiments of this utility model will now be described in detail with reference to the accompanying drawings.

[0020] The following specific examples illustrate the implementation of this utility model. Those skilled in the art can easily understand other advantages and effects of this utility model from the content disclosed in this specification. Obviously, the described embodiments are only a part of the embodiments of this utility model, not all of them. This utility model can also be implemented or applied through other different specific embodiments, and the details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of this utility model. It should be noted that, in the absence of conflict, the following embodiments and features in the embodiments can be combined with each other. Based on the embodiments of this utility model, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this utility model.

[0021] It should be noted that various aspects of embodiments within the scope of the appended claims are described below. It will be apparent that the aspects described herein can be embodied in a wide variety of forms, and any particular structure and / or function described herein is merely illustrative. Based on this invention, those skilled in the art will understand that one aspect described herein can be implemented independently of any other aspect, and two or more of these aspects can be combined in various ways. For example, any number of aspects set forth herein can be used to implement the device and / or practice the method. Additionally, this device and / or method can be implemented using other structures and / or functionalities besides one or more of the aspects set forth herein.

[0022] It should also be noted that the illustrations provided in the following embodiments are only schematic representations of the basic concept of the present invention. The drawings only show the components related to the present invention and are not drawn according to the actual number, shape and size of the components. In actual implementation, the form, quantity and proportion of each component can be arbitrarily changed, and the layout of the components may also be more complex.

[0023] Furthermore, specific details are provided in the following description to facilitate a thorough understanding of the examples. However, those skilled in the art will understand that the described aspects can be practiced without these specific details. Example 1

[0024] like Figure 1 and Figure 2 As shown, a grain storage pest monitoring device based on voiceprint recognition includes a waterproof probe housing 1, a microphone array 3, a pre-processing circuit, a waterproof connecting cable, and a central processing unit. The waterproof probe housing 1 is made entirely of stainless steel and has a pointed conical shape. The front end of the waterproof probe housing 1 has an inlet tip for insertion into the grain pile. The outer wall of the waterproof probe housing 1 is evenly distributed with several acoustic sound-permeable holes, and a reinforcing rib is provided in the middle to enhance overall strength and resistance to deformation. The interior of the waterproof probe housing 1 forms a cavity structure filled with an acoustic coupling material. The acoustic impedance of this material matches the medium of the grain pile, improving the transmission efficiency of sound energy in the solid particle medium and reducing sound energy reflection and scattering losses, thereby achieving effective transmission of the sound of deep-seated pest activity in the grain pile. The microphone array 3 is located in the front area of ​​the waterproof probe housing 1, arranged along the probe axis. The spacing between the microphones in the microphone array 3 is fixed. Through the array arrangement, comprehensive acquisition of sound signals from different directions can be achieved, improving spatial resolution and signal-to-noise ratio. The frequency response range of the microphone array 3 is 2kHz to 20kHz, covering the main activity sound spectrum range of common grain storage pests.

[0025] The pre-amplifier signal processing circuit is located on the rear side of the microphone array 3 and is electrically connected to each microphone via leads. The pre-amplifier signal processing circuit is housed in the pre-amplifier calculation circuit board 2 located in the upper part of the waterproof probe housing 1. The pre-amplifier calculation circuit includes a preamplifier and a bandpass filter. The preamplifier is used to amplify the weak sound signal acquired, and the bandpass filter is used to filter out power frequency interference and low-frequency noise. Thus, the signal is pre-processed by the preamplifier and bandpass filter on the pre-amplifier calculation circuit board 2, thereby accelerating the overall processing efficiency. The pre-amplifier calculation circuit board 2 is encapsulated with epoxy resin to prevent moisture and dust accumulation from affecting the signal quality. The pre-amplifier signal processing circuit is connected to the waterproof connection line through internal wires, forming a continuous signal channel from the microphone array 3 to the central processing unit. The waterproof connection line includes a signal line 5 and a power line 6. The signal line 5 adopts an independent shielding design and is covered with a waterproof sheath. The cable end of the signal line 5 is equipped with a dustproof connector, which can be detachably connected to the central processing unit. This structure can effectively prevent grain dust and moisture from entering the circuit interface and improve the overall sealing reliability of the system.

[0026] Both the central processing unit and the waterproof probe housing 1 are mounted on the mounting bracket 4, which is fixed to the inner wall of the grain silo. The central processing unit is located on the lateral side of the waterproof probe housing 1 and is fixed to the waterproof probe housing 1. The bottom of the mounting bracket 4 is provided with vibration damping pads to reduce the interference of mechanical vibration on the acquisition of sound signals. The central processing unit includes an analog-to-digital conversion module, a digital signal processing module, and a voiceprint recognition module. The analog-to-digital conversion module converts the analog signal from the probe into a digital signal and transmits it to the digital signal processing module. The digital signal processing module executes an adaptive filtering algorithm to eliminate the fixed noise generated by the fan and belt drive. The voiceprint recognition module uses a lightweight neural network model to extract and classify features from the filtered audio signal, generate pest type confidence scores, and achieve real-time recognition and output. The central processing unit is located in the wireless module housing 7. Inside the wireless module housing 7, there is a microcontroller board 9 and a processor 8 located on the microcontroller board 9. The central processing unit performs calculations through the processor 8 located in the center of the wireless module housing 7. Screw holes 10 are provided on the upper side wall of the wireless module housing 7 to fix the wireless module housing 7 to one side of the waterproof probe housing 1. A steel mesh 11 is provided on the lower side wall of the wireless module housing 7 to further provide electromagnetic shielding and support.

[0027] To adapt to long-term operating environments, in this embodiment, the microphone array 3 is connected to the pre-amplifier signal processing circuit using a flexible ribbon cable. The waterproof probe housing 1 has a heat-conducting channel inside to alleviate internal condensation caused by temperature and humidity changes, ensuring stable acoustic performance. The system supports multi-probe deployment; each waterproof probe housing 1 independently collects signals, which are then aggregated by the central processing unit to form an acoustic distribution map of grain pile pests, enabling early monitoring and warning of grain storage conditions.

[0028] During use, the operator inserts the waterproof probe housing 1 into the grain pile to the predetermined depth and connects it to the central processing unit via a waterproof connection cable. When the system is powered on, the central processing unit automatically detects the probe connection status and starts data acquisition. The sound signal collected by the microphone array 3 is amplified and filtered by the pre-processing circuit and then transmitted to the central processing unit. The digital signal processing module automatically executes the noise suppression algorithm, and the voiceprint recognition module periodically extracts feature parameters and performs classification reasoning. When the recognition confidence reaches the set threshold, the central processing unit records the pest type and location and can upload it to the monitoring platform to realize pest identification and intelligent early warning.

[0029] In summary, this utility model, through the coordinated design of a waterproof probe housing, acoustic coupling materials, and a multi-level signal processing structure, achieves stable acquisition and identification of pest activity sounds, significantly improving the accuracy and automation level of grain pile pest monitoring. It has the advantages of reasonable structure, reliable identification, convenient installation, and stable long-term operation.

[0030] The above description is merely a specific embodiment of this utility model, but the protection scope of this utility model is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in this utility model should be included within the protection scope of this utility model. Therefore, the protection scope of this utility model should be determined by the scope of the claims.

Claims

1. A grain storage pest monitoring device based on voiceprint recognition, characterized in that: The device includes a waterproof probe housing, a microphone array, a pre-amplifier signal processing circuit, a waterproof connecting cable, and a central processing unit. The microphone array and the pre-amplifier signal processing circuit are encapsulated inside the waterproof probe housing. The waterproof connecting cable connects the waterproof probe housing to the central processing unit. The waterproof probe housing is made of stainless steel and has multiple acoustic holes on its surface. The interior of the waterproof probe housing is filled with an acoustic coupling material whose acoustic impedance matches the medium of the grain pile to improve the transmission efficiency of sound signals between the probe and the grain pile. The pre-amplifier signal processing circuit is electrically connected to the central processing unit via wires to form a continuous signal transmission channel from the microphone array to the central processing unit. The central processing unit includes an analog-to-digital conversion module, a digital signal processing module, and a voiceprint recognition module. The analog-to-digital conversion module converts analog signals into digital signals. The digital signal processing module performs signal filtering and feature extraction. The voiceprint recognition module identifies and judges based on the sound characteristics of pest activity.

2. The grain storage pest monitoring device based on voiceprint recognition according to claim 1, characterized in that: The microphone array includes at least two MEMS microphones arranged along the probe axis, and the frequency response range of the MEMS microphones is 2kHz to 20kHz.

3. The grain storage pest monitoring device based on voiceprint recognition according to claim 2, characterized in that: The pre-amplifier signal processing circuit includes a preamplifier and a bandpass filter, used to filter out power frequency interference and low-frequency noise.

4. A grain storage pest monitoring device based on voiceprint recognition according to claim 3, characterized in that: The waterproof connection cable contains signal and power lines, is covered with a waterproof sheath, and is connected to the central processing unit via a dustproof connector.

5. A grain storage pest monitoring device based on voiceprint recognition according to claim 4, characterized in that: The outer wall of the waterproof probe housing is provided with a reinforcing rib structure to improve the mechanical strength when the probe is inserted or pulled out.

6. A grain storage pest monitoring device based on voiceprint recognition according to claim 5, characterized in that: Both the central processing unit and the waterproof probe housing are mounted on a mounting bracket fixed to the inner wall of the grain silo. The central processing unit is located on the lateral side of the waterproof probe housing and is fixed to the waterproof probe housing. The bottom of the bracket is provided with vibration damping pads to reduce the impact of mechanical vibration on the acquisition of acoustic signals.

7. A grain storage pest monitoring device based on voiceprint recognition according to claim 6, characterized in that: The microphone array is connected to the pre-amplifier signal processing circuit using a flexible ribbon cable to reduce the stress of the solder joints caused by thermal expansion and contraction.

8. A grain storage pest monitoring device based on voiceprint recognition according to claim 7, characterized in that: The waterproof probe housing has a heat conduction channel inside to maintain a stable operating temperature for the microphone array and prevent condensation from affecting acoustic performance.

Images