Noise identification and classification instrument based on artificial intelligence

Abstract

The utility model relates to the technical field of noise identification and classification instruments, in particular to a noise identification and classification instrument based on artificial intelligence, which comprises a support, the top of the support is fixedly connected with a limiting clamping sleeve, the middle of the top of the support is rotatably connected with a rotating rod, and the rotating rod penetrates through the limiting clamping sleeve and extends to the top of the limiting clamping sleeve; the outer surface of the rotating rod is fixedly sleeved with a fixing ring, the outer surface of the rotating rod is movably sleeved with a thrust spring and a movable clamping sleeve, the thrust spring is arranged between the fixing ring and the movable clamping sleeve, and the bottom of the movable clamping sleeve is clamped to the top of the limiting clamping sleeve. The top of the rotating rod is fixedly connected with a supporting plate, and the top of the supporting plate is connected with a noise recognition instrument. According to the utility model, the direction of the noise identification instrument can be flexibly adjusted according to requirements so as to adapt to noise monitoring requirements in different environments, and the accuracy and pertinence of noise identification are improved, especially in occasions requiring directional monitoring.

Description

Technical Field

[0001] This utility model relates to the field of noise identification and classification instruments, specifically to a noise identification and classification instrument based on artificial intelligence. Background Technology

[0002] Noise refers to the sound emitted when a sound-producing body vibrates irregularly. Sound is generated by the vibration of an object and propagates in a certain medium in the form of waves.

[0003] Noise is generated in various environments. When noise is generated indoors, it is detected by sampling instruments.

[0004] Noise identification and classification instruments can measure, analyze, and identify noise levels, frequency characteristics, and sound source types in an environment. However, in certain specific scenarios, these instruments cannot accurately locate and directionally detect noise from a particular direction. This limitation becomes a significant factor affecting the accuracy of the detection results, making it difficult for the instruments to accurately distinguish and capture noise sources from specific directions in complex sound field environments, thus leading to deviations in the overall noise assessment. Utility Model Content

[0005] To address the shortcomings of existing technologies, this invention provides an artificial intelligence-based noise identification and classification instrument. This solves the problem that in certain specific scenarios, noise identification and classification instruments cannot accurately locate and directionally detect noise from a specific direction. This limitation has become an important factor affecting the accuracy of detection results, making it difficult for the instrument to accurately distinguish and capture noise sources from specific directions in complex sound field environments, thus leading to deviations in the overall noise assessment.

[0006] To solve the above-mentioned technical problems, this utility model provides the following technical solution: a noise recognition and classification instrument based on artificial intelligence, including a support, a limiting sleeve fixedly connected to the top of the support, a rotating rod rotatably connected to the middle of the top of the support, the rotating rod passing through the limiting sleeve and extending to the top of the limiting sleeve;

[0007] A fixed ring is fixedly sleeved on the outer surface of the rotating rod, and a thrust spring and a movable sleeve are movably sleeved on the outer surface of the rotating rod. The thrust spring is located between the fixed ring and the movable sleeve, and the bottom of the movable sleeve is engaged with the top of the limiting sleeve.

[0008] A support plate is fixedly connected to the top of the rotating rod, and a noise recognition device is connected to the top of the support plate.

[0009] Preferably, the top of the thrust spring abuts against the bottom of the fixed ring, and the bottom of the thrust spring abuts against the top of the movable sleeve.

[0010] Preferably, a collar is fixedly fitted on the outer surface of the movable sleeve, and the outer surface of the collar is provided with arc-shaped grooves at equal intervals.

[0011] Preferably, the top of the limiting sleeve is provided with circumferentially equidistant slots, and the bottom of the movable sleeve is fixedly connected with circumferentially equidistant blocks, which are engaged inside the slots.

[0012] Preferably, a limiting frame is fixedly connected to the top of the support plate, and the noise recognition device is placed inside the limiting frame.

[0013] Preferably, a support pad is fixedly connected to the top of the support plate, and the bottom of the noise identification device is placed on top of the support pad.

[0014] Preferably, a threaded rod is threadedly connected to the middle of the top of the limiting frame, the bottom of the threaded rod extends into the interior of the limiting frame, a pressure plate is rotatably connected to the bottom of the threaded rod, a rubber pad is fixedly connected to the bottom of the pressure plate, and the bottom of the rubber pad abuts against the top of the noise recognition device.

[0015] Preferably, the top of the threaded rod extends to the top of the limiting frame, and a rotating disk is fixedly connected to the top of the threaded rod.

[0016] Preferably, a tripod is connected to the bottom of the support.

[0017] Preferably, it also includes:

[0018] Microphone I, which is connected to one side of the noise identification device, is used to collect noise;

[0019] Microphone II, which is connected to the other side of the noise identification device, is used to collect noise;

[0020] A power module that provides power to the noise identification device and is electrically connected to microphone I, microphone II, radio frequency communication module and MCU chip;

[0021] The radio frequency communication module is used to transmit noisy data to the outside world, and the radio frequency communication module is electrically connected to the SPI terminal of the MCU chip;

[0022] A noise classification module, which is used to classify the characteristics of noise;

[0023] The MCU chip is installed inside the noise identification instrument. The MCU chip is used to receive data signals from microphone I, microphone II and the noise classification module, and to determine whether to control the radio frequency communication module to send noise data signals to the outside world based on the detection results.

[0024] A clock circuit is used to detect the operating time of the MCU chip, and the clock circuit is electrically connected to the MCU chip.

[0025] By employing the above technical solution, this utility model provides a noise recognition and classification instrument based on artificial intelligence, which has at least the following beneficial effects:

[0026] 1. When the direction of the noise detector needs to be adjusted, pull the movable sleeve upwards. The thrust spring is compressed, and the bottom of the movable sleeve disengages from the limit sleeve. Then rotate the support plate, and the rotating rod rotates freely within the top of the support. When the desired direction is reached, release the movable sleeve. The thrust spring will return to its original deformation and push the movable sleeve to re-engage with the top of the limit sleeve, thus locking the direction. The direction of the noise detector can be flexibly adjusted as needed to adapt to the noise monitoring requirements in different environments, improving the accuracy and targeting of noise identification, especially in situations requiring directional monitoring.

[0027] 2. By rotating the rotating disk at the top of the threaded rod, the threaded rod can be driven to rotate and rise or fall within the limit frame. As the threaded rod descends, the pressure plate connected to its bottom will also descend and make contact with the top of the noise identification device through the rubber pad. Further rotation of the rotating disk will cause the pressure plate to press the noise identification device more tightly onto the support pad, ensuring the stability of the noise identification device during operation and reducing movement or tilting caused by vibration or external force. Attached Figure Description

[0028] The accompanying drawings, which are included to provide a further understanding of the present invention, form part of this application:

[0029] Figure 1 This is a schematic diagram of the structure of this utility model;

[0030] Figure 2 This is a partial structural diagram of the present invention;

[0031] Figure 3 This is a cross-sectional view of the limiting frame structure of this utility model;

[0032] Figure 4 This is a structural system diagram of the noise identification device of this utility model.

[0033] In the diagram: 1. Support; 2. Limiting sleeve; 3. Rotating rod; 4. Fixing ring; 5. Thrust spring; 6. Collar; 7. Movable sleeve; 8. Support plate; 9. Limiting frame; 10. Noise detector; 11. Support pad; 12. Threaded rod; 13. Pressure plate; 14. Rotary disk; 15. Tripod; 16. Microphone I; 17. Microphone II; 18. MCU chip; 19. Power module; 20. RF communication module; 21. Noise classification module; 22. Clock circuit. Detailed Implementation

[0034] The technical solutions of the present utility model will be clearly and completely described below with reference to the accompanying drawings of the embodiments. Obviously, the described embodiments are only some embodiments of the present utility model, and not all embodiments. Based on the embodiments of the present utility model, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the protection scope of the present utility model.

[0035] Please see Figure 1-3 A noise recognition and classification instrument based on artificial intelligence includes a support 1, a limiting sleeve 2 fixedly connected to the top of the support 1, and a rotating rod 3 rotatably connected to the middle of the top of the support 1. The rotating rod 3 passes through the limiting sleeve 2 and extends to the top of the limiting sleeve 2.

[0036] A fixed ring 4 is fixedly sleeved on the outer surface of the rotating rod 3, and a thrust spring 5 and a movable sleeve 7 are movably sleeved on the outer surface of the rotating rod 3. The thrust spring 5 is located between the fixed ring 4 and the movable sleeve 7. The top of the thrust spring 5 abuts against the bottom of the fixed ring 4, and the bottom of the thrust spring 5 abuts against the top of the movable sleeve 7. The bottom of the movable sleeve 7 is engaged with the top of the limiting sleeve 2.

[0037] A support plate 8 is fixedly connected to the top of the rotating rod 3, and a noise identification device 10 is connected to the top of the support plate 8. The direction of the noise identification device 10 can be flexibly adjusted as needed to adapt to the noise monitoring needs in different environments, thereby improving the accuracy and targeting of noise identification, especially in situations where directional monitoring is required.

[0038] A collar 6 is fixedly fitted onto the outer surface of the movable sleeve 7, and arc-shaped grooves are equidistantly arranged on the outer surface of the collar 6. A circumferentially equidistant groove is formed on the top of the limiting sleeve 2, and a circumferentially equidistant locking block is fixedly connected to the bottom of the movable sleeve 7, engaging inside the groove. This allows the movable sleeve 7 to be securely fixed to the limiting sleeve 2, thereby ensuring the stability of the noise recognition device 10's position positioning.

[0039] A limiting frame 9 is fixedly connected to the top of the support plate 8, and the noise detector 10 is placed inside the limiting frame 9. A support pad 11 is fixedly connected to the top of the support plate 8, and the bottom of the noise detector 10 is placed on top of the support pad 11. The support pad 11 is located between the noise detector 10 and the support plate 8, and plays a role in buffering and shock absorption. When the equipment is subjected to external impact or vibration, the support pad 11 can absorb some energy, reduce the impact of these forces on the precision components inside the noise detector 10, and protect it from damage.

[0040] A threaded rod 12 is threadedly connected to the center of the top of the limiting frame 9. The bottom of the threaded rod 12 extends into the interior of the limiting frame 9, and a pressure plate 13 is rotatably connected to the bottom of the threaded rod 12. A rubber pad is fixedly connected to the bottom of the pressure plate 13, and the bottom of the rubber pad abuts against the top of the noise detector 10. The top of the threaded rod 12 extends to the top of the limiting frame 9, and a rotating disk 14 is fixedly connected to the top of the threaded rod 12. By rotating the rotating disk 14 at the top of the threaded rod 12, the threaded rod 12 can be rotated and raised or lowered within the limiting frame 9. As the threaded rod 12 lowers, the pressure plate 13 connected to its bottom also lowers, and makes contact with the top of the noise detector 10 through the rubber pad. Further rotation of the rotating disk 14 and the pressure plate 13 press the noise detector 10 more tightly onto the support pad 11, ensuring the stability of the noise detector 10 during operation and reducing movement or tilting caused by vibration or external forces.

[0041] A tripod 15 is connected to the bottom of the support 1. The tripod 15 allows the noise detector 10 to better adapt to different terrains and ground conditions, making it easier to fix and use the noise detector 10.

[0042] Please see Figure 4 An artificial intelligence-based noise recognition and classification instrument further includes: microphone I 16, microphone II 17, power supply module 19, radio frequency communication module 20, noise classification module 21, MCU chip 18, and clock circuit 22. Microphone I 16 is connected to one side of the noise recognition instrument 10 and is used to collect noise. Microphone II 17 is connected to the other side of the noise recognition instrument 10 and is used to collect noise. By collecting noise from both sides of the noise recognition instrument 10 through the two microphones (microphone I 16 and microphone II 17), noise information from both sides, including the direction and intensity of the sound source, can be obtained.

[0043] Power module 19 provides power for the noise identification device 10. Power module 19 is electrically connected to microphone I 16, microphone II 17, RF communication module 20 and MCU chip 18. Power module 19 provides stable power to components such as noise identification device 10, microphone I 16, microphone II 17, RF communication module 20 and MCU chip 18. RF communication module 20 is used to transmit noise data to the outside world. RF communication module 20 is electrically connected to the SPI terminal of MCU chip 18. RF communication module 20 can wirelessly transmit the noise data processed by noise classification module 21 to external devices or systems, such as data centers, monitoring centers, etc.

[0044] The noise classification module 21 is used to classify the characteristics of noise. The noise classification module 21 extracts useful feature information from the noise signal, such as frequency, amplitude, and duration, and classifies and identifies the noise based on the extracted feature information, such as traffic noise, industrial noise, and residential noise. The MCU chip 18 is installed inside the noise identification instrument 10. The MCU chip 18 is used to receive data signals from microphone I 16, microphone II 17 and the noise classification module 21, and determines whether to control the radio frequency communication module 20 to send noise data signals to the outside world based on the detection results. The clock circuit 22 is used to detect the working time of the MCU chip 18. The clock circuit 22 is electrically connected to the MCU chip 18. The noise identification instrument 10 also has a built-in artificial intelligence algorithm that can collect and analyze noise signals in real time, quickly and accurately identify the type and source of noise, improve the efficiency and accuracy of noise monitoring, and provide strong technical support for noise control and management.

[0045] Working principle: The noise identification device 10 is placed inside the limiting frame 9. The rotating disk 14 at the top of the threaded rod 12 can drive the threaded rod 12 to rotate and rise or fall within the limiting frame 9. As the threaded rod 12 falls, the pressure plate 13 connected to its bottom also falls and comes into contact with the top of the noise identification device 10 through the rubber pad. Further rotating the rotating disk 14, the pressure plate 13 presses the noise identification device 10 more tightly onto the support pad 11.

[0046] When the direction of the noise identification device 10 needs to be adjusted, pull the movable sleeve 7 upward, the thrust spring 5 is compressed, the bottom of the movable sleeve 7 is disengaged from the limiting sleeve 2, and then rotate the support plate 8, the rotating rod 3 rotates freely in the top of the support 1.

[0047] Once the desired direction is reached, the movable sleeve 7 is released, and the thrust spring 5 returns to its original deformation, pushing the movable sleeve 7 to re-engage with the top of the limit sleeve 2, thus locking the direction. The direction of the noise detector 10 can be flexibly adjusted as needed to adapt to the noise monitoring requirements in different environments, improving the accuracy and targeting of noise identification, especially in situations requiring directional monitoring.

[0048] It should be noted that the terms “comprising,” “including,” or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0049] Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the present invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A noise recognition and classification instrument based on artificial intelligence, comprising a support (1), characterized in that: The top of the support (1) is fixedly connected to a limiting sleeve (2), and a rotating rod (3) is rotatably connected to the middle of the top of the support (1). The rotating rod (3) passes through the limiting sleeve (2) and extends to the top of the limiting sleeve (2). A fixed ring (4) is fixedly sleeved on the outer surface of the rotating rod (3), and a thrust spring (5) and a movable sleeve (7) are movably sleeved on the outer surface of the rotating rod (3). The thrust spring (5) is located between the fixed ring (4) and the movable sleeve (7), and the bottom of the movable sleeve (7) is engaged with the top of the limiting sleeve (2). A support plate (8) is fixedly connected to the top of the rotating rod (3), and a noise identification device (10) is connected to the top of the support plate (8).

2. The noise recognition and classification instrument based on artificial intelligence according to claim 1, characterized in that: The top of the thrust spring (5) abuts against the bottom of the fixed ring (4), and the bottom of the thrust spring (5) abuts against the top of the movable sleeve (7).

3. The noise recognition and classification instrument based on artificial intelligence according to claim 1, characterized in that: The outer surface of the movable sleeve (7) is fixedly fitted with a collar (6), and the outer surface of the collar (6) is provided with arc-shaped grooves at equal intervals.

4. The noise recognition and classification instrument based on artificial intelligence according to claim 1, characterized in that: The top of the limiting sleeve (2) is provided with circumferentially equidistant slots, and the bottom of the movable sleeve (7) is fixedly connected with circumferentially equidistant blocks, which are engaged inside the slots.

5. The noise recognition and classification instrument based on artificial intelligence according to claim 1, characterized in that: The top of the support plate (8) is fixedly connected to a limiting frame (9), and the noise identification device (10) is placed inside the limiting frame (9).

6. The noise recognition and classification instrument based on artificial intelligence according to claim 5, characterized in that: The top of the support plate (8) is fixedly connected to a support pad (11), and the bottom of the noise identification device (10) is placed on the top of the support pad (11).

7. The noise recognition and classification instrument based on artificial intelligence according to claim 5, characterized in that: A threaded rod (12) is threadedly connected to the middle of the top of the limiting frame (9). The bottom of the threaded rod (12) extends into the interior of the limiting frame (9). A pressure plate (13) is rotatably connected to the bottom of the threaded rod (12). A rubber pad is fixedly connected to the bottom of the pressure plate (13). The bottom of the rubber pad abuts against the top of the noise recognition device (10).

8. The noise recognition and classification instrument based on artificial intelligence according to claim 7, characterized in that: The top of the threaded rod (12) extends to the top of the limiting frame (9), and a rotating disk (14) is fixedly connected to the top of the threaded rod (12).

9. The noise recognition and classification instrument based on artificial intelligence according to claim 1, characterized in that: The bottom of the support (1) is connected to a tripod (15).

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