US detection method, detection system, detection device, medium and electronic equipment

Abstract

The invention relates to a US detection method, a detection system, a detection device, a medium and electronic equipment. The method comprises the following steps: acquiring detection data of a turn-up tire on line; processing the detection data to obtain point pairs of the tire side edges on the two sides of the turned-up tire in the same row; calculating the distance between the adjacent point pairs, and summing all the distances to obtain an interval in the reverse package; presetting the center position of the same row, and calculating the reverse package deviation between the two point pairs of the same row and the center position; and judging the turn-up position according to the turn-up inner spacing and the turn-up deviation. According to the method, the tire sidewall turn-up inner spacing and turn-up deviation of each tire body can be accurately calculated, and the forming quality is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of tire production and inspection, and particularly relates to a US detection method, a detection system, a detection device, a medium and an electronic device. Background Art

[0002] In the prior art, during the production process of tires, manual inspection is used to observe the quality of tires. However, this detection method is prone to missed detections, and manual observation cannot control the deviation. Moreover, after long-term work, the operator is prone to visual fatigue, which affects the detection results. In terms of the US detection of the inner distance of the sidewall reverse wrapping, there is currently no mature product for automatic US detection. The US inspection entirely relies on manual visual inspection or measuring the first tire with a tape measure. However, this detection method cannot comprehensively control the US quality of all tires and cannot provide support for subsequent data analysis. Therefore, there are huge defects, bringing great risks to subsequent quality control. Therefore, there is an urgent need to study a US detection method, a detection system, a detection device, a medium and an electronic device. Summary of the Invention

[0003] In order to overcome the above problems existing in the prior art, the present invention provides a US detection method, a detection system, a detection device, a medium and an electronic device to solve the above problems existing in the prior art.

[0004] A US detection method for judging the reverse wrapping position of a tire carcass, the method comprising the following steps: S1. Online obtain the detection data of the tire after reverse wrapping for one week; S2. Process the detection data to obtain point pairs of the sidewall edges on both sides of the tire after reverse wrapping in the same row; S3. Calculate the distances between adjacent point pairs, and sum all the distances to obtain the inner distance of the reverse wrapping; S4. Preset the central position in the same row, and calculate the reverse wrapping deviation of the two point pairs in the same row from this central position; S5. Judge the reverse wrapping position according to the size of the inner distance of the reverse wrapping and the reverse wrapping deviation.

[0005] As described above in the aspect and any possible implementation manner, a further implementation manner is provided, and the S2 includes: S21. Perform an anti-interference operation on the detection data to obtain the data of the tire area; S22. Analyze the data of the tire area to extract the edge position after the sidewall reverse wrapping and form point pairs.

[0006] As described above in the aspect and any possible implementation manner, a further implementation manner is provided, and in the S21, a gradient filtering method is used to eliminate the interference of the non-tire area data in the detection data.

[0007] For the aspects and any possible implementation manners as described above, a further implementation manner is provided. The point pairs are three-dimensional coordinates (x, y, z), and the y values of the point pairs in the same row are the same. Calculating the distance between adjacent point pairs is to calculate the distance between adjacent point pairs (x, z).

[0008] For the aspects and any possible implementation manners as described above, a further implementation manner is provided. The two point pairs in the same row in S4 are the leftmost point pair and the rightmost point pair in the same row.

[0009] For the aspects and any possible implementation manners as described above, a further implementation manner is provided. The smaller the reverse wrapping deviation value is, the better the symmetry is. When the difference is zero, it is completely symmetric.

[0010] The present invention further provides a US detection system for implementing the method described above. The system includes a 3D camera, a processing device, and a tire building machine. Among them, The 3D camera is arranged on the station of the tire building machine and is fixed obliquely above the periodic tire through a gantry for online collecting and scanning the tire to obtain the contour data of one week of the tire; The processing device is used to obtain the contour data scanned by the 3D camera, determine the point pairs on the same row of the tire side edges on both sides of the tire from the contour data, and obtain the reverse wrapping inner distance and reverse wrapping deviation for detecting the reverse wrapping position of the tire carcass after processing all the point pairs.

[0011] The present invention further provides a US detection device for judging the reverse wrapping position of a tire carcass. The device is used to implement the method described above. The device includes: An acquisition module for online acquiring the detection data of one week of the tire after reverse wrapping; A processing module for processing the detection data to obtain the point pairs on the same row of the tire side edges on both sides after reverse wrapping; A first calculation module for calculating the distance between adjacent point pairs and summing up all the distances to obtain the reverse wrapping inner distance; A second calculation module for presetting the central position of the same row of the tire and calculating the reverse wrapping deviation of the two point pairs in the same row from the central position; A judgment module for judging the reverse wrapping position according to the magnitudes of the reverse wrapping inner distance and the reverse wrapping deviation.

[0012] The present invention further provides a computer storage medium with a computer program stored thereon. The computer program is executed by a processor to implement the method described above.

[0013] The present invention also provides an electronic device, which includes: a memory storing executable instructions; a processor, which runs the executable instructions in the memory to implement the method described above.

[0014] Advantages of the present invention Compared with the prior art, the present invention has the following advantages: The US detection method of the present invention is used to judge the turn-up position of the tire carcass. The method includes the steps of: online obtaining the detection data of the tire after turn-up for one week; processing the detection data to obtain the point pairs on the same line of the two tire side edges after turn-up; calculating the distances between adjacent point pairs and summing up all the distances to obtain the inner turn-up distance; presetting the central position on the same line and calculating the turn-up deviation of the two point pairs on the same line from the central position; judging the turn-up position according to the size of the inner turn-up distance and the turn-up deviation. The method of the present invention can accurately calculate the inner turn-up distance and turn-up deviation of the tire side of each carcass, improving the forming quality; it can completely collect the tire side turn-up data for analyzing the turn-up quality and adjusting the debugging parameters of the forming machine equipment; it can guide the ratio of parameters such as the turn-up force of the forming drum through the analysis of the turn-up data. Description of the drawings

[0015] Figure 1 is the flowchart of the method of the present invention. Detailed implementation manners

[0016] In order to better understand the technical solution of the present invention, the content of the present invention includes but is not limited to the following detailed implementation manners, and similar technologies and methods should be regarded as within the scope of protection of the present invention. To make the technical problems, technical solutions and advantages to be solved by the present invention clearer, the following will be described in detail with reference to the drawings and specific embodiments.

[0017] It should be clear that the embodiments described in the present invention are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts belong to the scope of protection of the present invention.

[0018] The terms used in the embodiments of the present invention are only for the purpose of describing specific embodiments, and are not intended to limit the present invention. The singular forms of "a", "the" and "said" used in the embodiments of the present invention and the appended claims are also intended to include the plural forms, unless the context clearly indicates otherwise.

[0019] Such as Figure 1As shown in the figure, the present invention provides a method for detecting the inner distance of the sidewall reverse wrapping US, which is used to judge the reverse wrapping position of the tire carcass. The method includes the following steps: S1. Obtain the detection data of the tire after reverse wrapping for one week online; S2. Process the detection data to obtain the point pairs of the sidewall edges on both sides of the tire after reverse wrapping in the same row; S3. Calculate the distances between adjacent point pairs, and sum up all the distances to obtain the inner distance of the reverse wrapping; S4. Preset the central position in the same row, and calculate the reverse wrapping deviation of the two point pairs in the same row from this central position; S5. Judge the reverse wrapping position according to the size of the inner distance of the reverse wrapping and the reverse wrapping deviation.

[0020] In some embodiments of the present invention, S2 includes: S21. Perform an anti-interference operation on the detection data to obtain the data of the tire area; S22. Analyze the data of the tire area to extract the edge position after the sidewall reverse wrapping, and form point pairs.

[0021] In some embodiments of the present invention, in S21, the method of gradient filtering is used to eliminate the interference of the non-tire area data in the detection data.

[0022] In some embodiments of the present invention, the point pair is a three-dimensional coordinate (x, y, z), and the y values of each point pair in the same row are the same. Calculating the distance between adjacent point pairs means calculating the distance between adjacent point pairs (x, z).

[0023] In some embodiments of the present invention, the two point pairs in the same row in S4 are the leftmost point pair and the rightmost point pair in the same row.

[0024] In some embodiments of the present invention, the smaller the reverse wrapping deviation value, the better the symmetry. When the difference is zero, it is completely symmetric.

[0025] The specific implementation process of the present invention is as follows: The present invention scans the carcass after reverse wrapping through a 3D camera, and analyzes the scanned data to determine whether the reverse wrapping position is qualified. The steps are as follows: Step 1: Use a 3D camera to scan the 3D data of the carcass after reverse wrapping. The 3D camera is placed at the tire forming station and fixed obliquely above the periodic tire through a gantry. The laser of the 3D camera is incident perpendicular to the axis of the forming drum, ensuring that the distance between the camera and the drum axis is fixed at 800 mm. The acquisition process is that the 3D camera scans the contour data of the tire in one week (i.e., the circumference of the tire) online and processes it in real time online. In this way, the US results after reverse wrapping in one week can be detected, providing an optional space for the needs of different customers for the final result form.

[0026] Step 2: Extract the data representing the carcass and remove the interference. The obtained contour data contains data of some non-tire regions, such as the data of the forming drum surface. These data have an impact on the later detection. By using the method of gradient filtering, the data of the non-tire regions are removed to obtain the data representing the tire region. This method of gradient filtering is a commonly used processing method, and the specific operation steps will not be elaborated.

[0027] Step 3: Analyze and extract the edge positions after reverse wrapping of the sidewall in the data representing the carcass region row by row to form point pairs. That is, each point is a three-dimensional coordinate point. Therefore, this point pair is a point pair formed by two three-dimensional coordinate points. The essence of US detection is to detect the spatial distance between the edges of the two sidewalls after reverse wrapping in the same row. This spatial distance is an arc distance, which exists in space rather than on a plane. Therefore, the extracted data appears in the form of point pairs. A point pair includes the x and z coordinate values in the three-dimensional coordinates. Among them, x represents the direction along the drum axis; y represents the direction of rotation along the circumference; z represents the depth information. y is incremented by 1 step by step with the scanning, so there is no need to deliberately save it. The point pairs generated in this step are prepared for calculating the spatial distance between two points later.

[0028] Step 4: Extract all the data points between the point pairs in the same row. These points are not point pairs but n individual spatial points, and each spatial point is also represented by a three-dimensional coordinate point. Since y is the same in the same row, y is not required to calculate the US of one row. Therefore, only the (x, z) point coordinates of all the reverse wrapping contour data in the same row need to be extracted.

[0029] Step 5: Calculate the spatial distance between two adjacent data points among all the data points between the point pairs, and sum up these spatial distances, that is, add up all the distances between the calculated two data points. The obtained result is the internal distance of the sidewall reverse wrapping. The US calculation can be decomposed in the micro direction, that is, there are n spatial points in the contour data of the same row. First, calculate the distances between the n - 1 adjacent points of these n points, and then sum up the distances of these n - 1 points, which is the US.

[0030] Step 6: Preset the center position as LP, which is a physical position. LP is determined by making a mark on the drum and collecting the position of the mark in the image. Calculate the spatial distances from the two points in the point pair to the center position as LLP and RLP respectively, that is, the left half-width and the right half-width of the sidewall reverse wrapping. The calculation methods of both are the same as those in Step 5. The difference is that the starting and ending positions for the calculation of the two in the current step are different. The starting point of LLP is the leftmost point in the contour data of the same row, and the ending point is the center position LP; the starting point of RLP is the center position LP, and the ending point is the rightmost point in the same row of data.

[0031] Step 7: Calculate the difference between LLP and RLP, which is the reverse wrapping deviation and is used to characterize the reverse wrapping symmetry. The smaller the difference, the better the symmetry. When the difference is 0, it means complete symmetry, indicating no deviation, that is, qualified. Among them, the difference can also be other values, and the inspection result can be judged as qualified according to the tolerance value set by the customer. For example, if the set tolerance is 1 mm, then the inspection result is qualified within the range of plus or minus 1 mm.

[0032] The present invention scans the reverse-wrapped carcass through a 3D camera and uses the above steps to analyze the scanned data, so as to determine whether the reverse wrapping position is qualified for detecting the carcass. The method of the present invention can completely collect the sidewall reverse wrapping data for analyzing the reverse wrapping quality and the debugging parameters of the building machine equipment; the ratio of parameters such as the reverse wrapping force of the building drum can be guided through the analysis of the reverse wrapping data.

[0033] As an embodiment disclosed by the present invention, the present invention also provides a US detection system. The system is used for the method described above. The system includes a 3D camera, a processing device, and a tire building machine. Among them, The 3D camera is arranged on the tire building machine station and is fixed obliquely above the periodic tire through a gantry for online scanning the tire to obtain the contour data of one week of the tire; The processing device is used to obtain the contour data scanned by the 3D camera, determine the point pairs of the sidewall edges on both sides of the tire in the same row from the contour data, and obtain the reverse wrapping inner spacing and the reverse wrapping deviation for detecting the reverse wrapping position of the tire carcass after processing all the point pairs.

[0034] As an embodiment disclosed by the present invention, the present invention also provides a US detection device for judging the reverse wrapping position of a tire carcass. The device is used to implement the method described above. The device includes: An acquisition module for online acquiring the detection data of one week of the reverse-wrapped tire; A processing module for processing the detection data to obtain the point pairs of the sidewall edges on both sides after reverse wrapping in the same row; The first calculation module calculates the distances between adjacent point pairs, sums up all the distances, and obtains the in-package distance. The second calculation module presets the central positions of the same row of the tire and calculates the in-package deviations of two point pairs in the same row from the central positions. The judgment module is used to judge the in-package position according to the magnitudes of the in-package distance and the in-package deviation.

[0035] As an embodiment disclosed by the present invention, the present invention also provides a computer storage medium, on which a computer program is stored, and the computer program is executed by a processor to implement the method described above.

[0036] As an embodiment disclosed by the present invention, the present invention also provides an electronic device, which includes: A memory storing executable instructions; A processor, which runs the executable instructions in the memory to implement the method described above.

[0037] The above description shows and describes several preferred embodiments of the present invention. However, as mentioned above, it should be understood that the present invention is not limited to the form disclosed herein, should not be regarded as excluding other embodiments, but can be used in various other combinations, modifications, and environments, and can be changed within the scope of the application concept described herein through the above teachings or the techniques or knowledge in related fields. Any changes and variations made by those skilled in the art without departing from the spirit and scope of the present invention shall fall within the protection scope of the appended claims of the present invention.

Claims

1. A US detection method for judging the turn-up position of a tire carcass, characterized in that, The method includes the following steps: S1. Online obtain the detection data of the post-inverted tire for one week; S2. Process the detection data to obtain point pairs of the sidewall edges on both sides of the post-inverted tire in the same row; S3. Calculate the distance between adjacent point pairs, and sum up all the distances to obtain the inner inverted distance; S4. Preset the central position in the same row, and calculate the inverted deviation of the two point pairs in the same row from this central position; S5. Determine the inverted position according to the size of the inner inverted distance and the inverted deviation.

2. The US detection method according to claim 1, characterized in that, The S2 includes: S21. Perform an anti-interference operation on the detection data to obtain the data of the tire area; S22. Analyze the data of the tire area to extract the edge positions after the sidewall inversion, and form point pairs.

3. The US detection method according to claim 2, characterized in that, In the S21, a gradient filtering method is used to eliminate the interference of the data in the non-tire area in the detection data.

4. The US detection method according to claim 2, characterized in that The point pairs are three-dimensional coordinates (x, y, z), and the y values of the point pairs in the same row are the same. Calculating the distance between adjacent point pairs means calculating the distance between adjacent point pairs (x, z).

5. The US detection method according to claim 1, wherein The two point pairs in the same row in S4 are the leftmost point pair and the rightmost point pair in the same row.

6. The US detection method according to claim 1, characterized in that, The smaller the inverted deviation value, the better the symmetry. When the difference is zero, it is completely symmetric.

7. A US detection system, characterized in that, The system is used to implement the method described in any one of claims 1-6. The system includes a 3D camera, a processing device, and a tire forming machine. Among them, The 3D camera is arranged on the tire forming machine station and fixed obliquely above the periodic tire through a gantry, and is used to online collect and scan the tire to obtain the contour data of the tire for one week; The processing device is used to obtain the contour data scanned by the 3D camera, determine the point pairs of the sidewall edges on both sides of the tire in the same row from the contour data, and obtain the inner inverted distance and the inverted deviation for detecting the inverted position of the tire carcass after processing all the point pairs.

8. A US detection device for judging the reverse wrapping position of a tire carcass, characterized in that, The device is used to implement the method described in any one of claims 1-7. The device includes: An acquisition module, used to online obtain the detection data of the post-inverted tire for one week; A processing module, used to process the detection data to obtain point pairs of the sidewall edges on both sides after inversion in the same row; A first calculation module, calculates the distance between adjacent point pairs, and sums up all the distances to obtain the inner inverted distance; A second calculation module, presets the central position of the same row of the tire, and calculates the inverted deviation of the two point pairs in the same row from this central position; A judgment module, used to judge the inverted position according to the size of the inner inverted distance and the inverted deviation.

9. A computer storage medium, characterized in that, The computer program is stored on the medium, and the computer program is executed by the processor to implement the method described in any one of claims 1-7.

10. An electronic device, characterized in that, The electronic device includes: A memory, storing executable instructions; A processor, the processor Runs the executable instructions in the memory to implement the method described in any one of claims 1-7.

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