Wall hollowing detection method and system and capacitance detection device

Abstract

The invention relates to the technical field of wall quality detection, in particular to a wall hollowing detection method and system and a capacitance detection device. By utilizing the characteristic that the capacitance value of the position is obviously reduced when the building wall has the hollowing phenomenon, the capacitance detection device is adopted to detect the capacitance value of each block of the building wall, and the capacitance value is compared with the reference capacitance value corresponding to the building wall, so that the hollowing position is quickly determined; compared with a method for detecting the hollowing phenomenon by adopting a manual knocking method, the method has higher efficiency, and compared with a method for detecting the hollowing phenomenon by adopting an infrared thermal imager, the method is less influenced by external environmental factors, and the possibility of misjudgment is reduced.

Description

Technical Field

[0001] This application relates to the technical field of wall quality testing, and in particular to a method, system and capacitance testing device for detecting hollow walls. Background Technology

[0002] Mortar finishes, facing bricks, and mosaic finishes on building walls all utilize mortar to directly bond the finish to the wall surface. Over time, due to environmental influences or construction quality issues, varying degrees of hollowness will appear between the finish layer and the substrate. This problem worsens with seasonal changes, eventually leading to complete peeling and detachment of the finish, potentially causing personal injury or property damage. Therefore, regular inspection of hollowness defects in building wall finishes and understanding their condition are crucial.

[0003] Currently, the main methods for detecting hollow areas in building wall cladding materials include infrared thermal imaging and manual tapping. While manual tapping provides accurate results, it is time-consuming, inefficient, and poses a high risk to workers, especially during high-altitude operations.

[0004] Compared to manual tapping, infrared thermal imaging detection methods are more efficient, intuitive, fast, and cost-effective in terms of manpower and resources. However, the measurement results are easily affected by external factors, such as ambient radiation, the reflectivity of the outer surface of the wall, the wall color, the shooting angle, and the intensity of solar radiation. These factors can significantly impact the detection results, leading to a higher misjudgment rate. This situation needs further improvement. Summary of the Invention

[0005] To address the high false alarm rate of existing methods for detecting hollow walls, this application provides a method, system, and capacitance detection device for detecting hollow walls, employing the following technical solution: A method for detecting hollow areas in walls, applied to a capacitance detection device, the method comprising the following steps: Obtain the type and parameters of the building wall, and look up the reference capacitance value corresponding to the building wall in a preset table of building wall and reference capacitance value; Obtain an image of the building wall, divide the building wall into multiple blocks evenly based on the image, and number the multiple blocks; Collect the capacitance values ​​of each block of the building wall; The capacitance value of each block is compared with the reference capacitance value. Blocks with capacitance values ​​less than the reference capacitance value are found to have hollowness, and target hollow blocks are obtained. The number of the target hollow blocks is recorded.

[0006] By adopting the above technical solution, this application obtains the type and parameters of the building wall, obtains the reference capacitance value corresponding to the building wall from a preset comparison table of building walls and reference capacitance values, then obtains an image of the building wall, divides the building wall into multiple blocks based on the building wall image, and numbers the multiple blocks; finally, it collects the capacitance value of each block of the building wall, compares the capacitance value of each block with the reference capacitance value, determines that the blocks with capacitance values ​​less than the reference capacitance value have hollowness, obtains the target hollow blocks, records the number of the target hollow blocks, thereby recording the locations of each hollowness in the building wall, so as to facilitate subsequent repair and construction of the hollow areas. This application utilizes the characteristic that the capacitance value at the location of a hollow area in a building wall will significantly decrease. It employs a capacitance detection device to detect the capacitance value of each block of the building wall and compares it with the corresponding reference capacitance value of the building wall, thereby quickly determining the location of the hollow area. Compared with the manual tapping method for detecting hollow areas, this method is more efficient and less affected by external environmental factors compared with the infrared thermal imaging method, reducing the possibility of misjudgment.

[0007] Optionally, the type and parameters of the building walls specifically include: wall type, finish type, and finish thickness.

[0008] By adopting the above technical solution, the reference capacitance value can be obtained more accurately based on the wall type, finish type, and finish thickness of the building wall, so as to better distinguish the location of the hollow phenomenon in the building wall from the normal location.

[0009] Optionally, the process of establishing the preset building wall and reference capacitance value comparison table includes the following steps: Obtain the capacitance values ​​at normal locations and the capacitance values ​​at hollow locations in the walls of a building of the target type and parameters; Based on the capacitance values ​​of the normal position and the capacitance values ​​of the hollow position in the building wall of the target type and parameters, a reference capacitance value of the building wall of the target type and parameters is determined, and a comparison relationship between the building wall of the target type and parameters and the reference capacitance value is established. After establishing the correspondence between building walls and reference capacitance values ​​for multiple target types and parameters, a preset correspondence table between building walls and reference capacitance values ​​is generated.

[0010] By adopting the above technical solution, this application obtains the capacitance values ​​of normal positions and hollow positions in the walls of buildings of the target type and parameters; then, based on the capacitance values ​​of normal positions and hollow positions in the walls of buildings of the target type and parameters, it determines the reference capacitance value of the walls of buildings of the target type and parameters, establishes a comparison relationship between the walls of the target type and parameters and the reference capacitance value, and thus establishes a preset comparison table of building walls and reference capacitance values. This enables the determination of the optimal distinguishing capacitance value of the walls of the target type and parameters when detecting walls of different types and parameters, so as to better distinguish the hollow phenomenon of the walls of the target type and parameters.

[0011] Optionally, the process of comparing the capacitance value of each block with the reference capacitance value, determining that blocks with capacitance values ​​less than the reference capacitance value have a hollow phenomenon, obtaining target hollow blocks, and recording the number of the target hollow blocks further includes the following steps: Based on the difference between the capacitance value of the target hollow block and the reference capacitance value, different hollowness indicators are added to the number of the target hollow block. The larger the difference, the more obvious the hollowness of the target hollow block.

[0012] By adopting the above technical solution, the more obvious the hollowness, the smaller the measured capacitance value. This application adds different hollowness degree indicators to the target hollowness block number based on the difference between the capacitance value of the target hollowness block and the reference capacitance value. The larger the difference, the more obvious the hollowness of the target hollowness block. This allows the hollowness degree at that location to be obtained according to the hollowness degree indicator, so as to divide the hollowness range and carry out repairs.

[0013] Optionally, after comparing the capacitance value of the block with the reference capacitance value, determining that the block with a capacitance value less than the reference capacitance value has a hollow phenomenon, obtaining a target hollow block, and recording the number of the target hollow block, the method further includes: Upload the recorded information, which includes the number of the target hollow area and the location of that number in the building wall image; After confirming that the recorded information has been uploaded, a notification message will be sent.

[0014] By adopting the above technical solution, this application uploads recorded information, including the number of the target hollow area and the location of that number in the building wall image, so as to facilitate subsequent repairs based on the uploaded recorded information. After confirming the upload of this recorded information, a prompt message is issued to remind the staff that there is a hollow phenomenon in the building wall, so that the staff can carry out repairs in time.

[0015] Optionally, the capacitance detection device includes an identification module, and the wall hollow detection method further includes the following steps: After recording the number of the target hollow area, the identification module of the capacitance detection device is controlled to identify the target hollow area.

[0016] By adopting the above technical solution, in some embodiments, after recording the target hollow area, this application also controls the marking module of the capacitance detection device to mark the target hollow area, so that when the staff uses the capacitance detection device to detect the capacitance value of the building wall, they can compare it with the reference capacitance value, and then directly mark the hollow location after determining the target hollow area, and directly carry out repairs according to the marking after inspecting the entire building wall.

[0017] Secondly, this application provides a wall hollowing detection system, comprising: The reference capacitance value acquisition module is used to acquire the type and parameters of the building wall and look up the reference capacitance value corresponding to the building wall in a preset lookup table of building walls and reference capacitance values. The numbering module is used to acquire the building wall image, divide the building wall into multiple blocks evenly based on the building wall image, and number the multiple blocks. The capacitance value acquisition module is used to acquire the capacitance values ​​of each block of the building wall collected by the capacitance detection device. The comparison and recording module is used to compare the capacitance value of each block with the reference capacitance value, determine that the block with a capacitance value less than the reference capacitance value has a hollow phenomenon, obtain the target hollow block, and record the number of the target hollow block.

[0018] Thirdly, this application provides a capacitance detection device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the steps of the above-described wall hollow detection method.

[0019] Fourthly, this application provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of the above-described wall hollow detection method.

[0020] In summary, this application includes at least one of the following beneficial technical effects: 1. This application utilizes the characteristic that the capacitance value at the location of a hollow area in a building wall will decrease significantly when a hollow area appears. It employs a capacitance detection device to detect the capacitance value of each block of the building wall and compares it with the corresponding reference capacitance value of the building wall, thereby quickly determining the location of the hollow area. Compared with the manual tapping method for detecting hollow areas, this method is more efficient. Furthermore, compared with the infrared thermal imaging method for detecting hollow areas, it is less affected by external environmental factors, reducing the possibility of misjudgment. 2. This application establishes a preset comparison table of building walls and reference capacitance values, thereby enabling the determination of the optimal distinguishing capacitance value for building walls of different types and parameters when detecting them, so as to better distinguish the hollow phenomenon of building walls of different types and parameters. 3. This application adds different hollowness degree indicators to the target hollow area block numbering based on the difference between the capacitance value of the target hollow area block and the reference capacitance value. The larger the difference, the more obvious the hollowness of the target hollow area block. This allows the hollowness degree of the location to be obtained according to the hollowness degree indicator, so as to delineate the range of hollowness and carry out repairs. Attached Figure Description

[0021] Figure 1 This is a schematic diagram of a capacitance detection device used to detect hollowness in a building wall in an embodiment of this application; Figure 2 This is an exemplary flowchart of a wall hollow detection method according to an embodiment of this application; Figure 3 This is a flowchart illustrating the establishment of a comparison table in a wall hollow detection method according to an embodiment of this application; Figure 4 This is a schematic diagram illustrating the understanding of dividing a building wall into multiple blocks according to an embodiment of this application; Figure 5 This is another exemplary flowchart of a wall hollow detection method according to an embodiment of this application; Figure 6 This is a schematic diagram of a module of the wall hollow detection system in this application embodiment; Figure 7 This is an internal structural diagram of the capacitance detection device in the embodiments of this application. Detailed Implementation

[0022] The terminology used in the following embodiments of this application is for the purpose of describing particular embodiments only and is not intended to be limiting of this application. As used in the specification and appended claims of this application, the singular expressions “a,” “an,” “the,” “the,” “the,” and “this” are intended to include the plural expressions as well, unless the context clearly indicates otherwise. It should also be understood that the term “and / or” as used in this application refers to any or all possible combinations including one or more of the listed items.

[0023] Hereinafter, the terms "first" and "second" are used for descriptive purposes only and should not be construed as implying or suggesting relative importance or implicitly indicating the number of indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature, and in the description of the embodiments of this application, unless otherwise stated, "multiple" means two or more.

[0024] Hollow spots refer to the phenomenon where air bubbles form between the mortar finish, facing bricks, and mosaic tiles on building walls, which are directly bonded to the wall surface with mortar. Over time, this air bubble can worsen with changing seasons, due to environmental factors or construction quality issues, eventually leading to complete peeling and detachment of the finish, and even causing personal injury or property damage. Therefore, regular inspection of building facade materials for hollow spots is crucial.

[0025] Related technologies typically employ infrared thermal imaging to detect hollow areas in building walls. However, infrared thermal imaging is susceptible to external factors, such as ambient radiation, the reflectivity of the wall's outer surface, wall color, shooting angle, and solar radiation intensity. These factors can all affect the detection results, leading to a high misjudgment rate for infrared thermal imaging.

[0026] This application discloses a method, system, and capacitance detection device for detecting hollow walls. It utilizes the characteristic that the capacitance value at the hollow location will significantly decrease when a hollow phenomenon occurs in the building wall. The capacitance detection device is used to detect the capacitance value at various locations of the building wall, which has the characteristics of wide applicability and low false judgment rate.

[0027] Reference Figure 1This is a schematic diagram illustrating the use of a capacitance detection device in an embodiment of this application to detect hollow areas in a building wall. The capacitance detection device includes a main body and a sensing plate. The main body contains a capacitance detection circuit. In use, the sensing plate is attached to the surface of the mortar layer, and the capacitance detection device is moved across the mortar layer surface. When hollow areas appear in a building wall, the presence of air at the hollow locations causes the dielectric material at those locations to differ from that of normal walls, resulting in a significant decrease in capacitance. When the capacitance detection device moves above the hollow mortar layer, the capacitance value detected by the device is significantly lower than that of a normal wall, thus allowing for rapid identification of the hollow area.

[0028] Reference Figure 2 , Figure 2 This is an exemplary flowchart illustrating a method for detecting hollow walls according to an embodiment of this application.

[0029] The method for detecting hollow areas in walls includes the following steps: S110. Obtain the type and parameters of the building wall, and find the corresponding reference capacitance value of the building wall in the preset comparison table of building wall and reference capacitance value.

[0030] Among them, reference Figure 3 The process of establishing the pre-defined table of building wall values ​​and reference capacitance values ​​includes the following steps: S111. Obtain the capacitance values ​​of the normal position and the capacitance values ​​of the hollow position in the wall of the building of the target type and parameters. S112. Based on the capacitance values ​​of the normal position and the void position in the building wall of the target type and parameters, determine the reference capacitance value of the building wall of the target type and parameters, and establish a comparison relationship between the building wall of the target type and parameters and the reference capacitance value. S113. After establishing the correspondence between the building walls and reference capacitance values ​​for multiple target types and parameters, a preset correspondence table between the building walls and reference capacitance values ​​is formed.

[0031] In the above steps, by establishing a comparison relationship between the building walls of various target types and parameters and the reference capacitance value, a preset comparison table of building walls and reference capacitance values ​​is established. This allows the optimal distinguishing capacitance value of the building walls of different target types and parameters to be determined when detecting building walls of different types and parameters, so as to better distinguish the hollow phenomenon of building walls of different target types and parameters.

[0032] Specifically, the types and parameters of building walls include: wall type, finish type, and finish thickness. By knowing the wall type, finish type, and finish thickness of the building walls, the reference capacitance value can be obtained more accurately.

[0033] S120. Obtain building wall images, divide the building walls into multiple blocks evenly based on the building wall images, and number the multiple blocks.

[0034] The process involves dividing the building wall into multiple blocks based on the building wall image and numbering these blocks. This facilitates the subsequent marking of hollow areas based on the numbers. Additionally, numbering the building wall image itself makes it easier to repair the hollow areas based on the marked locations on the building wall image.

[0035] Specifically, such as Figure 4 As shown, after acquiring the building wall image, the building wall is divided into multiple blocks according to preset dimensions, and each block is numbered. For example, in this embodiment, Arabic numerals are used for numbering, and blocks with adjacent numbers are connected.

[0036] S130. Collect the capacitance values ​​of each block of the building wall.

[0037] Specifically, the capacitance value of each block is collected by a capacitance detection device. The staff attaches the sensing plate of the capacitance detection device to the mortar layer surface of the building wall, and the capacitance detection circuit inside the capacitance detection device detects the capacitance value at each location of the building wall.

[0038] S140. Compare the capacitance value of each block with the reference capacitance value, determine that the block with a capacitance value less than the reference capacitance value has a hollow phenomenon, obtain the target hollow block, and record the number of the target hollow block.

[0039] Once the target hollow area is obtained and its number is recorded, the location of the hollow area can be repaired based on the record.

[0040] Optionally, in one embodiment, the process of comparing the capacitance value of each block with a reference capacitance value, determining that blocks with capacitance values ​​less than the reference capacitance value have a hollow phenomenon, obtaining target hollow blocks, and recording the number of the target hollow blocks further includes: Based on the difference between the capacitance value of the target hollow area and the reference capacitance value, different hollowness indicators are added to the target hollow area numbers. The larger the difference, the more obvious the hollowness of the target hollow area. This allows for subsequent determination of the hollowness degree at that location based on the hollowness degree indicator, in order to delineate the range of hollowness and carry out repairs.

[0041] Optionally, in one embodiment, the capacitance detection device includes an identification module. In the above wall detection method, after recording the number of the target hollow area, the identification module of the capacitance detection device is controlled to identify the target hollow area so that when the operator uses the capacitance detection device to detect the capacitance value of the building wall, it can compare it with the reference capacitance value. Then, after determining the target hollow area, the hollow location can be directly identified, and after the entire building wall is inspected, repairs can be carried out directly according to the identification.

[0042] Specifically, in this embodiment, the marking module sprays color markings onto the target hollow areas to distinguish them. Furthermore, different colors are used to differentiate different degrees of hollowness for marking the degree of hollowness. In other embodiments, other marking methods can be used, such as spraying numbers of different sizes.

[0043] Reference Figure 5 This is another exemplary flowchart of a wall hollow detection method according to an embodiment of this application.

[0044] Optionally, in one embodiment, after comparing the capacitance value of the block with the reference capacitance value, determining that the block with a capacitance value less than the reference capacitance value has a hollow phenomenon, obtaining the target hollow block, and recording the number of the target hollow block, the method further includes: S150. Upload the recorded information, which includes the number of the target hollow block and the location of that number in the building wall image.

[0045] After recording the number, the record information is uploaded. If the staff cannot carry out repairs in time, the location of the hollow area can be found based on the uploaded record information for repair.

[0046] S160. After confirming the upload of the record information, a prompt message is issued.

[0047] During the inspection process, a prompt message is issued to remind the staff that there are hollow areas in the building's walls. If the staff can directly carry out the repairs, they can do so immediately.

[0048] The implementation principle of the wall hollowing detection method in this application is as follows: This application utilizes the characteristic that the capacitance value at the location of a hollowing phenomenon in a building wall will significantly decrease. A capacitance detection device is used to detect the capacitance value of each block of the building wall and compare it with the corresponding reference capacitance value of the building wall, thereby quickly determining the location of the hollowing. Compared with the manual tapping method to detect hollowing, it has higher efficiency. Moreover, compared with the infrared thermal imaging method to detect hollowing, it is less affected by external environmental factors and reduces the possibility of misjudgment.

[0049] In addition, this application adds different hollowness degree indicators to the target hollowness blocks by the difference between the capacitance value of the target hollowness block and the reference capacitance value. The larger the difference, the more obvious the hollowness of the target hollowness block. This allows the hollowness degree of the location to be obtained according to the hollowness degree indicator, so as to delineate the range of hollowness and carry out repairs.

[0050] Secondly, this application provides a wall hollowing detection system. The wall hollowing detection system of this application will be described below in conjunction with the aforementioned wall hollowing detection method. Please refer to... Figure 6 , Figure 6 This is a schematic diagram of a module of the wall hollow detection system in this application embodiment.

[0051] A wall hollow detection system, comprising: The reference capacitance value acquisition module 110 is used to acquire the type and parameters of the building wall and look up the corresponding reference capacitance value of the building wall in a preset comparison table of building walls and reference capacitance values. The numbering module 120 is used to acquire building wall images, divide the building walls into multiple blocks evenly based on the building wall images, and number the multiple blocks. The capacitance value acquisition module 130 is used to acquire the capacitance values ​​of each block of the building wall collected by the capacitance detection device. The comparison and recording module 140 is used to compare the capacitance value of each block with the reference capacitance value, determine that the block with a capacitance value less than the reference capacitance value has a hollow phenomenon, obtain the target hollow block, and record the number of the target hollow block.

[0052] Optionally, in one embodiment, the type and parameters of the building wall in the reference capacitance value acquisition module 110 specifically include: wall type, finish type, and finish thickness.

[0053] Optionally, in one embodiment, the reference capacitance value acquisition module 110 includes: The capacitance value acquisition unit 111 is used to acquire the capacitance value of the normal position and the capacitance value of the hollow position in the building wall of the target type and parameters. The comparison relationship acquisition unit 112 is used to determine the reference capacitance value of the building wall of the target type and parameters based on the capacitance value of the normal position and the capacitance value of the hollow position in the building wall of the target type and parameters, and to establish the comparison relationship between the building wall of the target type and parameters and the reference capacitance value. The lookup table establishment unit 113 is used to form a preset lookup table of building walls and reference capacitance values ​​after establishing the lookup relationship between building walls and reference capacitance values ​​for multiple target types and parameters.

[0054] Optionally, in one embodiment, the comparison recording module 140 further includes: The hollowness identification unit 141 is used to add different hollowness identifications to the number of the target hollowness block based on the difference between the capacitance value of the target hollowness block and the reference capacitance value. The larger the difference, the more obvious the hollowness of the target hollowness block.

[0055] Optionally, in one embodiment, the wall hollow detection system further includes: The upload module 150 is used to upload the recorded information, which includes the number of the target hollow block and the location of that number in the building wall image; The prompt module 160 is used to issue a prompt message after confirming that the record information has been uploaded.

[0056] Optionally, in one embodiment, the wall hollow detection system further includes an identification module 170, which records the number of the target hollow block and then controls the identification module of the capacitance detection device to identify the target hollow block.

[0057] In one embodiment, this application provides a capacitance detection device, which may be a server, and its internal structure diagram may be as follows. Figure 7 As shown, the capacitance detection device includes a processor, memory, and network interface connected via a system bus. The processor provides computational and control capabilities. The memory includes a non-volatile storage medium and internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The database stores data. The network interface allows communication with external terminals via a network connection. When the computer program is executed by the processor, it implements a wall holding detection method.

[0058] Those skilled in the art will understand that Figure 7 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the capacitance detection device to which the present application is applied. A specific capacitance detection device may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0059] In one embodiment, a capacitance detection device is also provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps in the above method embodiments.

[0060] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the methods described above. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, or optical storage, etc. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc.

[0061] The above are all preferred embodiments of this application, and are not intended to limit the scope of protection of this application. Therefore, all equivalent changes made in accordance with the structure, shape and principle of this application should be covered within the scope of protection of this application.

Claims

1. A wall hollow detection method applied to a capacitance detection device, characterized in that, The method includes the following steps: Obtain the type and parameters of the building wall, and look up the reference capacitance value corresponding to the building wall in a preset table of building wall and reference capacitance value; Obtain an image of the building wall, divide the building wall into multiple blocks evenly based on the image, and number the multiple blocks; Collect the capacitance values ​​of each block of the building wall; The capacitance value of each block is compared with the reference capacitance value. Blocks with capacitance values ​​less than the reference capacitance value are found to have hollowness, and target hollow blocks are obtained. The number of the target hollow blocks is recorded.

2. The wall void detection method of claim 1, wherein The specific types and parameters of the building walls include: wall type, finish type, and finish thickness.

3. The wall void detection method of claim 1, wherein The process of establishing the preset building wall and reference capacitance value comparison table includes the following steps: Obtain the capacitance values ​​at normal locations and the capacitance values ​​at hollow locations in the walls of a building of the target type and parameters; Based on the capacitance values ​​of the normal position and the capacitance values ​​of the hollow position in the building wall of the target type and parameters, a reference capacitance value of the building wall of the target type and parameters is determined, and a comparison relationship between the building wall of the target type and parameters and the reference capacitance value is established. After establishing the correspondence between building walls and reference capacitance values ​​for multiple target types and parameters, a preset correspondence table between building walls and reference capacitance values ​​is generated.

4. The wall void detection method of claim 1, wherein The process of comparing the capacitance value of each block with the reference capacitance value, determining that blocks with capacitance values ​​less than the reference capacitance value have a hollow phenomenon, obtaining target hollow blocks, and recording the number of the target hollow blocks also includes the following steps: Based on the difference between the capacitance value of the target hollow block and the reference capacitance value, different hollowness indicators are added to the number of the target hollow block. The larger the difference, the more obvious the hollowness of the target hollow block.

5. The wall void detection method according to claim 1 or 4, wherein After comparing the capacitance value of the block with the reference capacitance value to determine that the block with a capacitance value less than the reference capacitance value has a hollow phenomenon, thus obtaining a target hollow block, and recording the number of the target hollow block, the method further includes: Upload the recorded information, which includes the number of the target hollow area and the location of that number in the building wall image; A notification message will be sent after confirming that the recorded information has been uploaded.

6. The wall void detection method of claim 5, wherein The capacitance detection device includes an identification module, and the wall hollow detection method further includes the following steps: After recording the number of the target hollow area, the identification module of the capacitance detection device is controlled to identify the target hollow area.

7. A wall void detection system characterised in that, include: The reference capacitance value acquisition module is used to acquire the type and parameters of the building wall and look up the reference capacitance value corresponding to the building wall in a preset lookup table of building walls and reference capacitance values. The numbering module is used to acquire the building wall image, divide the building wall into multiple blocks evenly based on the building wall image, and number the multiple blocks. The capacitance value acquisition module is used to acquire the capacitance values ​​of each block of the building wall collected by the capacitance detection device. The comparison and recording module is used to compare the capacitance value of each block with the reference capacitance value, determine that the block with a capacitance value less than the reference capacitance value has a hollow phenomenon, obtain the target hollow block, and record the number of the target hollow block.

8. A capacitance detection device, characterized in that, The method includes a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: when the processor executes the computer program, it implements the steps of the wall hollow detection method according to any one of claims 1-6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the wall hollow detection method according to any one of claims 1-6.

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