Empty drum detection device

By combining support rods, sound acquisition, and image acquisition devices, a map of the degree and location distribution of hollow areas is constructed, solving the problems of experience dependence and insufficient accuracy in traditional detection methods, and realizing the accurate quantification and visualization of hollow area detection.

CN223897378UActive Publication Date: 2026-02-10NINGBO UNIV +1
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Patent Information

Application Number
CN202423166572.5
Authority / Receiving Office
CN · China
Patent Type
Utility models(China)
Current Assignee / Owner
Filing Date
2024-12-20
Publication Date
2026-02-10
Estimated Expiration
2034-12-20

AI Technical Summary

Technical Problem

Traditional methods for detecting hollow areas rely on the experience of inspectors, making it difficult to accurately detect hollow areas on smooth surfaces and unable to quantify the degree of hollowness.

Method used

Using a support rod, a sound acquisition device, and an image acquisition device, combined with a processor, a map of the degree and location distribution of hollowness is constructed, and accurate detection is achieved through the fusion of sound and image information.

Benefits of technology

It enables accurate positioning and visualization of the location and degree of hollowness, improving detection accuracy and efficiency, and reducing reliance on the experience of inspectors.

✦ Generated by Eureka AI based on patent content.

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Abstract

The utility model provides a hollowing detection device. The hollowing detection device comprises a supporting rod, a sound acquisition device and an image acquisition device, one end of the supporting rod is provided with a scraping part used for scraping the surface of a building to be detected; the sound acquisition device is used for acquiring sound information of the surface of the to-be-detected building scraped by the scraping part in real time; the image acquisition device is used for acquiring a scraping track of the surface of the to-be-detected building scraped by the scraping part and image information of the surface of the to-be-detected building in real time; the sound acquisition device and the image acquisition device are connected with the processor; the processor is used for processing and fusing the collected sound information, the scraping track and the image information of the surface of the building to be detected so as to construct a hollowing degree and position distribution diagram; according to the hollowing detection device, the hollowing degree and position distribution diagram can be constructed in the detection process, so that the hollowing degree can be accurately quantified, and a basis is provided for the accurate treatment of subsequent hollowing.
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Description

TECHNICAL FIELD

[0001] The utility model belongs to the technical field of building detection, and particularly relates to a hollow detection device. BACKGROUND

[0002] In the building manufacturing and decoration process, the walls, floors and / or ceilings of the building may have a hollow phenomenon, which may cause wall cracking and the peeling of decorative surface layers such as tiles, and not only affects the aesthetics and safety of the building, but also the fallen tiles are extremely easy to injure personnel. Therefore, it is necessary to detect the hollow during the construction process to discover and address the problem in a timely manner, thereby effectively avoiding potential safety risks and increasing the cost of later maintenance.

[0003] The traditional hollow detection methods mainly include visual inspection and scratch detection, however, the visual inspection is only applicable to cases where the hollow problem is obvious (such as having cracks or having a part that is obviously higher than the surrounding plane), and cannot detect the internal hollow of a flat surface. The scratch detection method uses the sound change when scratching the wall with a hard object to determine whether there is a hollow problem, and is highly dependent on the inspection experience of the inspector, and it is difficult to ensure the detection accuracy.

[0004] In order to reduce the dependence on the experience of the inspector and improve the hollow detection accuracy, for example, the invention patent with the application number CN201810659845 X discloses a hollow detection device and a detection method thereof, which uses a sound collection module to collect the audio information of the hollow sphere shell knocking the wall surface and uploads it to the main control chip, the main control chip compares and analyzes the audio information collected by the sound collection module with the audio information data in the storage module, if the data is consistent, it is determined that there is no hollow at the knocking position; if the data is inconsistent, it is determined that there is a hollow at the knocking position, and a spraying mechanism is used to mark the hollow position; but the invention patent cannot quantify the hollow degree. UTILITY MODEL CONTENT

[0005] In view of the above shortcomings of the prior art, the purpose of the utility model is to provide a hollow detection device which is simple to use and convenient to operate, and can quickly and accurately obtain the hollow position and hollow degree of the surface of the building to be detected, and realize the visual display of the hollow degree and distribution.

[0006] To achieve the above and other related objectives, this utility model provides a hollow detection device, including a support rod, a sound acquisition device, and an image acquisition device. One end of the support rod is provided with a scraping part for scraping the surface of a building to be tested. The sound acquisition device is used to collect sound information of the scraping part scraping the surface of the building in real time. The image acquisition device is used to collect the scraping trajectory of the scraping part and image information of the surface of the building in real time. Both the sound acquisition device and the image acquisition device are connected to a processor. The processor processes and fuses the collected sound information, scraping trajectory, and image information of the surface of the building to construct a hollow degree and location distribution map. The hollow degree and location distribution map constructed by this utility model can accurately quantify the degree of hollowness, providing a basis for accurate subsequent hollow processing.

[0007] Preferably, the processor is communicatively connected to a monitoring platform, which is used to store and display the constructed hollowness distribution map to achieve a visual display of the hollowness situation, thereby facilitating understanding and identification by non-professionals.

[0008] Preferably, the sound acquisition device is a directional microphone; the directional microphone is an omnidirectional microphone, a cardioid microphone, a supercardioid microphone, or a bidirectional microphone, in order to reduce interference from non-target sounds and improve the clarity of the target sound.

[0009] Preferably, the image acquisition device includes a lidar or laser scanner to model the surface of the building to be measured and the scratch trajectory.

[0010] Preferably, the image acquisition device includes a camera for determining video information of the surrounding environment at different scratch locations, so as to improve the modeling accuracy of the building surface under test and the scratch trajectory.

[0011] Preferably, the directional microphone is integrated with the camera or set up separately, and the user can set it up as needed.

[0012] Preferably, the image acquisition device, the sound acquisition device, and the processor are powered by a power supply device, which is a battery and / or a power cord.

[0013] Preferably, the support rod comprises a plurality of hollow tubes nested together from the outside to the inside; adjacent hollow tubes are connected by an adjusting mechanism to adjust the length of the support rod.

[0014] Preferably, the length adjustment mechanism includes a mating external thread and an internal thread, which are respectively disposed on two adjacent hollow tubes. In this way, the distance between the two adjacent hollow tubes can be adjusted by simply rotating one of the hollow tubes clockwise or counterclockwise.

[0015] Preferably, the support rod is fitted with a non-slip sleeve to facilitate gripping by inspectors.

[0016] As described above, the hollow detection device of this utility model has the following beneficial effects:

[0017] This application utilizes a sound acquisition device and an image acquisition device to automatically collect the scraping sound, scraping path, and image information of the surface of the building under test. The processor then processes and fuses the collected scraping sound, scraping path, and image information to construct a map showing the degree and location distribution of hollowness. This facilitates the visualization of hollowness and is beneficial for non-professionals to understand and identify. Furthermore, since the entire detection process does not rely on the experience of the inspectors and does not require inspectors to specifically mark the locations of hollowness, the accuracy and efficiency of hollowness detection are greatly improved, making it easy to promote and apply. Attached Figure Description

[0018] Figure 1 This is a perspective view of a hollow drum detection device in one embodiment of this application.

[0019] Figure 2 This is an exploded view of the support rod.

[0020] Figure 3 This is a control principle diagram of a hollow drum detection device in one embodiment of this application.

[0021] Explanation of reference numerals in the attached figures

[0022] Support rod 1, hollow cylinder 11, scraper head 2, sound acquisition device 3, lidar 41, camera 42, processor 5, monitoring platform 6, anti-slip sleeve 7. Detailed Implementation

[0023] The following specific embodiments 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.

[0024] Please see Figures 1 to 3It should be understood that the structures, proportions, sizes, etc., illustrated in the accompanying drawings are merely for illustrative purposes to aid those skilled in the art and are not intended to limit the scope of this invention. Therefore, they have no substantial technical significance. Any modifications to the structure, changes in proportions, or adjustments to size, without affecting the effectiveness and purpose of this invention, should still fall within the scope of the disclosed technical content. Furthermore, the terms "upper," "lower," "left," "right," "middle," and "one" used in this specification are merely for clarity and not intended to limit the scope of this invention. Changes or adjustments to their relative relationships, without substantially altering the technical content, should also be considered within the scope of this invention.

[0025] like Figure 1 As shown, the hollow detection device provided in this embodiment includes a support rod 1, a scraping part 2, a sound acquisition device 3, an image acquisition device, and a processor 5. The scraping part 2 is located at one end of the support rod 1 and is used to scrape the surface of the building to be tested. The sound acquisition device 3 is mounted on the support rod 1 and is used to collect the sound information of the scraping part 2 scraping the surface of the building to be tested in real time. The image acquisition device is mounted on the support rod 1 and is used to collect the scraping trajectory of the scraping part 2 scraping the surface of the building to be tested and the image information of the surface of the building to be tested in real time. Both the sound acquisition device 3 and the image acquisition device are communicatively connected to the processor 5 to upload the collected information to the processor 5. Simultaneously, both the sound acquisition device 3 and the image acquisition device are controlled by the processor 5. The processor 5 processes and fuses the collected sound information, scraping trajectory, and image information of the surface of the building to be tested to construct a hollow degree and location distribution map.

[0026] It should be noted that the scraping part 2 can be various shapes such as a sphere, prism, or wedge, and is not limited thereto; in order to reduce damage to the surface of the building to be tested, in this embodiment, such as Figure 1 As shown, the scraping part 2 preferably adopts a spherical structure.

[0027] In order to clearly and accurately acquire the sound information generated by the scratching, the sound acquisition device 3 preferably uses a directional microphone.

[0028] It should be noted that the sound acquisition device 3 can be any type of directional microphone, such as an omnidirectional microphone, a cardioid microphone, a supercardioid microphone, or a bidirectional microphone, and there is no limitation on this type. In order to reduce the difficulty of sound processing, in this embodiment, the sound acquisition device 3 preferably adopts a supercardioid microphone.

[0029] like Figure 1As shown, the image acquisition device includes a lidar 41 to construct a simulated image of the surface of the building under test, including scratch trajectories. The lidar can be a single-line lidar or a multi-line lidar, which is not limited. In this embodiment, a single-line lidar is used to reduce cost and size.

[0030] Of course, in other embodiments, the lidar 41 can also be replaced by a laser scanner, as long as it can complete the positioning and mapping.

[0031] In a preferred embodiment, such as Figure 1 As shown, the image acquisition device also includes a camera 42 to improve mapping accuracy by using images captured by the camera 42. The camera 42 can be integrated with the sound acquisition device 3 or installed separately; this is not limited. To reduce the number of components, in this embodiment, the camera 42 and the sound acquisition device 3 are integrated as a single purchased component.

[0032] like Figure 3 As shown, the processor 5 is connected to the monitoring platform 6, which includes, but is not limited to, remote control terminals such as computers or mobile phones. The monitoring platform 6 can send control commands to the processor 5 to control the sound acquisition device 3, the laser scanner 41 and the camera 42, and can also store and display the hollowness and location distribution map transmitted by the processor 5 to improve the human-computer interaction experience.

[0033] Understandably, the map showing the degree and location of hollow areas includes a scratch trajectory map and a color transition map rendered along the scratch trajectory, with color changes representing changes in the degree of hollow areas.

[0034] It should be noted that the processor 5 and the monitoring platform 6 can be connected wirelessly or via wired communication, and there is no limitation on this. For convenience, in this embodiment, the processor 5 and the monitoring platform 6 communicate wirelessly via WIFI, Bluetooth, or 5G.

[0035] In the above-mentioned hollow drum detection device, the sound acquisition device 3, the image acquisition device and the processor 5 are powered by a power supply device, which can be a battery and / or a power cord, and there is no limitation thereto; in this embodiment, the power supply device is preferably a battery to improve the convenience of use.

[0036] In a preferred embodiment, in order to meet the scratching requirements at different height positions, such as Figure 1 and Figure 2 As shown, the support rod 1 is a telescopic structure, which includes multiple hollow tubes 11 nested from the outside to the inside. The number of hollow tubes 11 can be set as needed and is not limited thereto, as long as two adjacent hollow tubes 11 are connected by an adjusting mechanism.

[0037] Specifically, the length adjustment mechanism includes a mating external thread and an internal thread, which are respectively set on two adjacent hollow tubes 11. Thus, by simply turning one of the hollow tubes 11, the distance between the two adjacent hollow tubes 11 can be changed, thereby adjusting the length of the support rod 1.

[0038] In addition, other solutions can be adopted for the length adjustment mechanism. For specific details, please refer to the length adjustment device disclosed in patent CN2022223000824. There are no limitations on this, as long as the distance between two adjacent hollow tubes 11 can be adjusted.

[0039] Of course, in other embodiments, the support rod 1 can also be a fixed rod with a constant length.

[0040] For ease of operation, such as Figure 1 As shown, the support rod 1 is fitted with an anti-slip sleeve 7 on the part away from the scraping part 2 so that the inspector can hold it.

[0041] In use, the inspector needs to adjust the length of the support rod 1 according to the height of the area to be inspected; then, the inspector holds the support rod 1 and brings the scraping part 2 on the support rod 1 close to and in contact with the surface of the area to be inspected; next, the sound acquisition device 3, the laser scanner 41, and the camera 42 are activated, and the inspector moves the entire hollow detection device, causing the scraping part 2 to scrape and move within the area to be inspected; during this process, the sound acquisition device 3 automatically collects the sound information generated by the scraping in real time, the laser scanner 41 scans and acquires the point cloud data of the surface of the building to be inspected and the point cloud data of the scraping trajectory, and the camera 42 acquires video image information of the surrounding environment of the scraping trajectory at different times; thus, when the processor 5 receives the sound from the laser scanner 41, the camera 42, and the camera 42, the system will automatically detect the sound. After the sound acquisition device 3 collects the information, the processor 5 can construct a simulated map of the surface of the building under test, including the scratch trajectory, based on the acquired point cloud data and video image information. At the same time, the processor 5 analyzes the sound information collected by the sound acquisition device 3 to obtain the amplitude of different frequency bands within a certain time domain. Then, the sum of the amplitudes in the frequency range of 1000 Hz to 3000 Hz is used as the hollow quantization value, and a list of hollow quantization values ​​is output. Next, according to the list of hollow quantization values, the hollow quantization values ​​and scratch positions are matched sequentially to generate a hollow degree and position distribution map. The generated hollow degree and position distribution map is then uploaded to the monitoring platform 6 for storage and display, realizing an intuitive and visual display of the hollow situation, which has the advantages of being easy to understand and identify.

[0042] In summary, this utility model effectively overcomes the various shortcomings of the prior art and has high industrial application value.

[0043] The above embodiments are merely illustrative of the principles and effects of this utility model and are not intended to limit the scope of this utility model. Any person skilled in the art can modify or alter the above embodiments without departing from the spirit and scope of this utility model. Therefore, all equivalent modifications or alterations made by those skilled in the art without departing from the spirit and technical concept disclosed in this utility model should still be covered by the claims of this utility model.

Claims

1. A hollow detection device, characterized in that, The device includes a support rod (1), a sound acquisition device (3), and an image acquisition device. One end of the support rod (1) is provided with a scraping part (2) for scraping the surface of the building to be tested. The sound acquisition device (3) is used to collect the sound information of the scraping part (2) scraping the surface of the building to be tested in real time. The image acquisition device is used to collect the scraping trajectory of the scraping part (2) scraping the surface of the building to be tested and the image information of the surface of the building to be tested in real time. Both the sound acquisition device (3) and the image acquisition device are connected to a processor (5). The processor (5) is used to process and fuse the collected sound information, scraping trajectory, and image information of the surface of the building to be tested to construct a map of the degree and location distribution of hollowness.

2. The hollow detection device according to claim 1, characterized in that, The processor (5) is connected to the monitoring platform (6), which is used to store and display the hollowness and location distribution map of the construction.

3. A hollow detection device according to claim 1 or 2, characterized in that, The sound acquisition device (3) is a directional microphone; the directional microphone is an omnidirectional microphone, a cardioid microphone, a supercardioid microphone, or a bidirectional microphone.

4. The hollow detection device according to claim 3, characterized in that, The image acquisition device includes a lidar (41) or a laser scanner.

5. The hollow detection device according to claim 4, characterized in that, The image acquisition device includes a camera (42).

6. The hollow detection device according to claim 5, characterized in that, The directional microphone can be integrated with or separately from the camera (42).

7. The hollow detection device according to claim 1, characterized in that, The image acquisition device, the sound acquisition device (3), and the processor (5) are powered by a power supply device, which is a battery and / or a power supply line.

8. The hollow detection device according to claim 1, characterized in that, The support rod (1) includes a plurality of hollow tubes (11) nested from the outside to the inside, and two adjacent hollow tubes (11) are connected by an adjustment mechanism.

9. A hollow detection device according to claim 8, characterized in that, The length adjustment mechanism includes a mating external thread and an internal thread, which are respectively disposed on two adjacent hollow tubes (11).

10. A hollow detection device according to claim 1, characterized in that, The support rod (1) is covered with an anti-slip sleeve (7).