Floor tile hollow detection acceptance method

Abstract

The application discloses a floor tile hollow detection and acceptance method, which detects the floor tile hollow by using a floor tile hollow detection device and judges the floor tile hollow state according to detection data. The application judges the floor tile hollow state after comprehensively analyzing sound, vibration and radar scanning results, avoids errors in single index judgment by using comprehensive judgment of multiple indexes, effectively improves the accuracy of floor tile hollow judgment, and greatly reduces the probability of rechecking. The comprehensive judgment of multiple indexes against each other can also realize updating and self-improvement of the control system algorithm, and further improve the accuracy of the judgment result.

Description

Technical Field

[0001] This invention relates to the field of building decoration and renovation technology, specifically to a method for detecting and accepting hollow floor tiles. Background Technology

[0002] The quality of floor tile installation directly affects the safety and aesthetics of building decoration and renovation. With the increasing pursuit of aesthetics, floor tiles are becoming larger, increasing the difficulty of installation and the likelihood of hollow tiles. Traditional methods for detecting hollow tiles rely on manual tapping, judging hollowness by sound, which suffers from strong subjectivity, high false negative rates, difficulty in traceable acceptance data, and low efficiency. Therefore, more and more automated and intelligent equipment is being used for floor tile hollow tile detection. A common method is to use deep learning neural networks to replace manual judgment of tapping results, effectively improving the accuracy of hollow tile detection. However, due to the lack of standardization in floor tile installation, the situation of hollow tiles varies, and even with neural networks, there is still a significant false positive rate, failing to meet inspection and acceptance requirements. This invention provides a method for detecting and accepting hollow floor tiles to solve the above problems. Summary of the Invention

[0003] This invention provides a method for detecting and accepting hollow tiles, which uses multiple testing indicators and repeatedly tests the suspected areas to effectively ensure the accuracy of the test.

[0004] The technical solution adopted by the present invention to solve the above-mentioned technical problems is as follows: A method for detecting and accepting hollow floor tiles, which utilizes a hollow floor tile detection device to detect hollow areas in the floor tiles, specifically includes the following steps. S1, Input preprocessing data, which includes room information, floor tile parameters, and reference data; S2, the testing equipment automatically plans the testing route; S3, the testing equipment moves along the testing route and performs hollow detection on each floor tile; S4. After all the floor tiles in the room have been tested, the testing equipment outputs the test results, which include no hollow tiles, hollow tiles, and tiles with questionable results. The floor tiles with questionable results are retested until the test results are no hollow tiles or hollow tiles. S5 generates the final test report.

[0005] Furthermore, the detection equipment includes a moving mechanism, a detection mechanism, and a control system; The moving mechanism is used for movement; The detection mechanism is mounted on the moving mechanism and includes a striking device, a sound acquisition device, a vibration acquisition device, and a scanning device. The striking device is used to strike the floor tiles, the sound acquisition device is used to collect sound data when the floor tiles are struck, the vibration acquisition device is used to collect vibration data when the floor tiles are struck, and the scanning device is used to scan the floor tiles and collect scan data. The control system includes a preprocessing module, an analysis module, a main control module, and a display module. The preprocessing module is used to input and analyze preprocessed data. The analysis module is used to analyze sound data, vibration data, and scanning data and determine whether the floor tiles are hollow. The main control module is used to plan the detection route and control the movement of the moving mechanism and the action of the detection mechanism. The display module is used to display real-time data.

[0006] Furthermore, in step S4, the detection result is determined by a combination of sound data, vibration data, and scan data; When the confidence levels of all three types of data are higher than the set values ​​and the results are consistent, the detection result of no hollowness or hollowness is directly output. When the confidence levels of all three types of data are higher than the set values ​​but the results are inconsistent, the majority data shall be used as the standard, and the detection result of no hollowness or hollowness shall be directly output. When the confidence level of two of the three data points is higher than the set value and the results are consistent, the detection result of no hollowness or hollowness is directly output. If the confidence level of two of the three types of data is higher than the set value but the results are inconsistent, output a questionable detection result. If only one of the three data points has a confidence level higher than the set value, or if the confidence levels of all three data points are not higher than the set value, a questionable detection result will be output.

[0007] Furthermore, in step S4, during the re-test, the test position is first adjusted so that the new test position is different from the first test position. Then, tapping and scanning are performed at the new test position to collect sound data, vibration data, and scan data and make a comprehensive judgment. When the test result is that the tile is not hollow or is hollow, the next suspected tile is tested. When the test result is still suspected, the test parameters are adjusted and the test is performed again until the test result is that the tile is not hollow or is hollow, and then the next suspected tile is tested.

[0008] Furthermore, the detection parameters include tapping frequency, tapping interval, and scanning frequency.

[0009] Furthermore, in step S3, when inspecting the floor tile, the corner area and the center area of ​​the floor tile are inspected. The corner area is a square with a fixed side length, and the center area is a square that is proportionally reduced from the whole floor tile.

[0010] Furthermore, in step S3, the input comparison data includes scan data of the same type of floor tile under different hollow states, as well as vibration data and sound data when tapped.

[0011] Preferably, the striking device is an electric striking head, and the scanning device is a high-frequency radar.

[0012] The beneficial effects of this invention are as follows: The hollow state of floor tiles is determined by comprehensively analyzing the sound, vibration and radar scan results. The comprehensive judgment of multiple indicators avoids the error of the judgment of single indicators, effectively improves the accuracy of the judgment of hollow floor tiles, and greatly reduces the probability of re-inspection. The comprehensive judgment of multiple indicators can also realize the updating and self-improvement of the control system algorithm, further improving the accuracy of the judgment results. Attached Figure Description

[0013] Figure 1 This is a schematic diagram of the acceptance process of the present invention; Figure 2 This is a schematic diagram of the detection result determination process of the present invention. Detailed Implementation

[0014] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0015] In the description of this invention, it should be understood that the terms "center", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this invention.

[0016] like Figure 1 As shown, a method for detecting and accepting hollow floor tiles involves using a hollow floor tile detection device to detect hollow areas in the tiles, specifically including the following steps. S1, Input preprocessing data, which includes room information, floor tile parameters, and reference data; S2, the testing equipment automatically plans the testing route; S3, the testing equipment moves along the testing route and performs hollow detection on each floor tile; S4. After all the floor tiles in the room have been tested, the testing equipment outputs the test results, which include no hollow tiles, hollow tiles, and tiles with questionable results. The floor tiles with questionable results are retested until the test results are no hollow tiles or hollow tiles. S5 generates the final test report.

[0017] Furthermore, the detection equipment includes a moving mechanism, a detection mechanism, and a control system.

[0018] The moving mechanism is used for movement, specifically employing a chassis module equipped with omnidirectional wheel sets, to move the testing equipment to the corresponding position according to the testing route.

[0019] Furthermore, the mobile mechanism is also equipped with a positioning module and a camera. The positioning module is used to determine the current position of the detection device, and the camera is used to assist in scanning the tiling situation.

[0020] The detection mechanism is mounted on the moving mechanism and includes a striking device, a sound acquisition device, a vibration acquisition device, and a scanning device. The striking device is used to strike the floor tiles, the sound acquisition device is used to collect sound data when the floor tiles are struck, the vibration acquisition device is used to collect vibration data when the floor tiles are struck, and the scanning device is used to scan the floor tiles and collect scan data.

[0021] Furthermore, the striking device is an electrically controlled striking head with a striking frequency of 1-300 times / min and a striking interval of 10-20cm. The sound acquisition device is a microphone, the vibration acquisition device is a piezoelectric accelerometer, and the scanning device is a concrete radar.

[0022] The control system includes a preprocessing module, an analysis module, a main control module, and a display module. The preprocessing module is used to input and analyze preprocessed data. The analysis module is used to analyze sound data, vibration data, and scanning data, and then determine whether the floor tiles are hollow after comprehensively analyzing the three types of data. The main control module is used to plan the detection route and control the movement of the moving mechanism and the action of the detection mechanism. The display module is used to display real-time data.

[0023] Furthermore, the preprocessed data is obtained through preliminary measurements. In the laboratory, floor tiles of different materials and specifications are tapped under conditions of no hollowness to obtain baseline data under these conditions. Then, tapping is performed under different hollow conditions to obtain control data under these conditions. A database is constructed using the baseline data and control data. During actual testing, the test data is compared with the database to determine whether the floor tiles are hollow.

[0024] like Figure 1As shown, the specific control flow of the control system during the detection of hollow floor tiles is as follows: The preprocessing module analyzes the preprocessed data to determine the current room information, including room dimensions, tile laying conditions, and tile information. Based on the tile information, it retrieves the corresponding baseline and comparison data from the database and outputs them to the analysis module. The main control module plans the detection route based on the room information and then controls the moving mechanism to move along the planned detection route. After moving to the first tile to be tested, the main control module controls the detection mechanism to tap the tile to detect it. At the same time, the detection mechanism receives sound data, vibration data, and scanning data. The sound data, vibration data, and scanning data received by the detection mechanism are output to the analysis module for analysis. The module compares the received sound data, vibration data, and scan data with the baseline and control data in the database, determines whether the currently detected tile is hollow, and outputs the detection result to the display module. If the detected tile is determined to be hollow or not hollow, it is directly recorded and the next tile is detected. If the result is questionable, the detection parameters are adjusted and the detection is performed again until the result is that the tile is not hollow or is hollow, and then the next questionable tile is detected. Alternatively, the information of the questionable tile can be recorded first, and then the next tile can be detected. After all tiles have been detected, the tiles with questionable structures are re-detected until the detection results of all questionable tiles are determined to be hollow or not hollow.

[0025] Furthermore, the preprocessed data consists of BIM data from the building construction process.

[0026] like Figure 2 As shown, further, in step S4, the detection result is determined by a combination of sound data, vibration data and scanning data. When making the determination, the three types of data have the same weight, and the majority is the standard. When a majority cannot be formed, a questionable detection result is output. When the confidence levels of all three types of data are higher than the set values ​​and the results are consistent, the detection result of no hollowness or hollowness is directly output. When the confidence levels of all three types of data are higher than the set values ​​but the results are inconsistent, the majority data shall be used as the standard, and the detection result of no hollowness or hollowness shall be directly output. When the confidence level of two of the three data points is higher than the set value and the results are consistent, the detection result of no hollowness or hollowness is directly output. If the confidence level of two of the three types of data is higher than the set value but the results are inconsistent, output a questionable detection result. If only one of the three data points has a confidence level higher than the set value, or if the confidence levels of all three data points are not higher than the set value, a questionable detection result will be output.

[0027] By employing a comprehensive assessment using three types of data, inaccurate results can be avoided due to accidental errors or the product being located at the edge of a hollow area. This effectively improves the accuracy of hollow area assessment. Furthermore, the comprehensive assessment of the three types of data is fed back into the database to update the data in the database, further enhancing the accuracy of subsequent assessments.

[0028] like Figure 1 As shown, further, in step S4, during the re-detection, the detection position is first adjusted so that the new detection position is different from the first detection position, to avoid doubtful results caused by accidental errors or the detection point being just on the edge of the hollow tile. Then, tapping and scanning are performed at the new detection position to collect new sound data, vibration data, and scanning data, and the new data are comprehensively judged. When the detection result is that the tile is not hollow or is hollow, the next doubtful tile is detected. When the re-detection result is still doubtful, the detection parameters are adjusted and the detection is performed again until the detection result is that the tile is not hollow or is hollow, and then the next doubtful tile is detected.

[0029] Furthermore, the detection parameters include tapping frequency, tapping interval, and scanning frequency.

[0030] Furthermore, in step S3, when inspecting the floor tile, the corner area and the center area of ​​the floor tile are inspected. The corner area is a square with a side length of 50mm, and the center area is a square that is proportionally reduced from the whole floor tile.

[0031] Specifically, when the floor tile is a square with side length a, the central area is a square with side length a / 2. When the floor tile is a rectangle with length a and width b, the central area is a rectangle with length (a+b) / 2 and width b / 2.

[0032] Furthermore, when inspecting floor tiles, the central area of ​​the tile is inspected first. If the central area is found to be hollow, the tile is directly determined to be hollow, and the next tile is inspected. If the central area is found to be non-hollow, the four corners of the tile are inspected in sequence. If any corner is found to be hollow, the tile is determined to be hollow. If none of the four corners are hollow, the tile is determined to be non-hollow, and the next tile is inspected.

[0033] Furthermore, in step S3, the input comparison data includes scanning data of the same type of floor tile under different hollow states, as well as vibration data and sound data when tapped. The data comes from data obtained in the laboratory after tapping different floor tiles under different hollow states.

[0034] Preferably, the striking device is an electric striking head, and the scanning device is a high-frequency radar for concrete detection, with a center frequency of 6GHz to 8GHz and a scanning frequency range of 1Hz to 1024Hz.

[0035] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the invention can be implemented in other specific forms without departing from its spirit or essential characteristics. Therefore, the embodiments should be considered illustrative and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description. Thus, all variations falling within the meaning and scope of equivalents of the claims are intended to be included within the present invention, and no reference numerals in the claims should be construed as limiting the scope of the claims.

Claims

1. A method for detecting and accepting hollow tiles, characterized in that, The hollow tile detection equipment is used to detect hollow tiles, specifically... Includes the following steps, S1, Input preprocessing data, which includes room information, floor tile parameters, and reference data; S2, the testing equipment automatically plans the testing route; S3, the testing equipment moves along the testing route and performs hollow detection on each floor tile; S4. After all the floor tiles in the room have been tested, the testing equipment outputs the test results, which include no hollow tiles, hollow tiles, and tiles with questionable results. The floor tiles with questionable results are retested until the test results are no hollow tiles or hollow tiles. S5 generates the final test report.

2. The method for detecting and accepting hollow tiles according to claim 1, characterized in that: The detection equipment includes a moving mechanism, a detection mechanism, and a control system; The moving mechanism is used for movement; The detection mechanism is mounted on the moving mechanism and includes a striking device, a sound acquisition device, a vibration acquisition device, and a scanning device. The striking device is used to strike the floor tiles, the sound acquisition device is used to collect sound data when the floor tiles are struck, the vibration acquisition device is used to collect vibration data when the floor tiles are struck, and the scanning device is used to scan the floor tiles and collect scan data. The control system includes a preprocessing module, an analysis module, a main control module, and a display module. The preprocessing module is used to input and analyze preprocessed data. The analysis module is used to analyze sound data, vibration data, and scanning data and determine whether the floor tiles are hollow. The main control module is used to plan the detection route and control the movement of the moving mechanism and the action of the detection mechanism. The display module is used to display real-time data.

3. The method for detecting and accepting hollow tiles according to claim 2, characterized in that: In step S4, the detection result is determined by a combination of sound data, vibration data, and scan data; When the confidence levels of all three types of data are higher than the set values ​​and the results are consistent, the detection result of no hollow area or hollow area is directly output. When the confidence levels of all three types of data are higher than the set value but the results are inconsistent, the majority data shall be used as the standard, and the detection result of no hollowness or hollowness shall be directly output. When the confidence level of two of the three data types is higher than the set value and the results are consistent, the detection result of no hollowness or hollowness is directly output. If the confidence level of two of the three types of data is higher than the set value but the results are inconsistent, output a questionable detection result. If only one of the three data points has a confidence level higher than the set value, or if the confidence levels of all three data points are not higher than the set value, a questionable detection result will be output.

4. The method for detecting and accepting hollow tiles according to claim 2, characterized in that: In step S4, during the re-test, the test position is first adjusted so that the new test position is different from the first test position. Then, tapping and scanning are performed at the new test position to collect sound data, vibration data, and scanning data and make a comprehensive judgment. When the test result is that the tile is not hollow or is hollow, the next suspected tile is tested. When the test result is still suspected, the test parameters are adjusted and the test is performed again until the test result is that the tile is not hollow or is hollow, and then the next suspected tile is tested.

5. The method for detecting and accepting hollow tiles according to claim 4, characterized in that: The detection parameters include tapping frequency, tapping interval, and scanning frequency.

6. The method for detecting and accepting hollow tiles according to claim 1, characterized in that: In step S3, when inspecting the floor tile, the corner area and the center area of ​​the floor tile are inspected. The corner area is a square with a fixed side length, and the center area is a square that is proportionally reduced from the whole floor tile.

7. The method for detecting and accepting hollow tiles according to claim 1, characterized in that: In step S3, the input comparison data includes scan data of the same type of floor tile under different hollow states, as well as vibration data and sound data when tapped.

8. The method for detecting and accepting hollow tiles according to claim 2, characterized in that: The striking device is an electric striking head, and the scanning device is a high-frequency radar.

Images