Material thickness uniformity detection method, device and equipment and storage medium

Abstract

The invention provides a material uniformity detection method and device, equipment and a storage medium. According to the material uniformity detection method, material thickness scanning data on a to-be-scanned plane are obtained through a mobile acquisition device, the mobile acquisition device is installed on a track, the track is arranged above the to-be-scanned plane and is parallel to the to-be-scanned plane, multiple rows of first material thickness data are split, and the split first material thickness data are obtained; obtaining second material thickness data of the plurality of areas; calculating according to a fitting algorithm and the second material thickness data to obtain a fitting line segment of each area; determining an average material thickness value according to the two end points of each area and the fitting line segment; and determining the uniformity of the material thickness of each row according to the average material thickness value of each row. Through the method, the first material thickness data of each row can be obtained with high precision, subsequent calculation is performed based on a fitting mode, and the uniformity of the material thickness of each row can be quickly and accurately determined.

Description

Technical Field

[0001] The present application relates to the technical field of material detection, and in particular to a method, device, equipment and storage medium for detecting material thickness uniformity. Background Art

[0002] Belt roasting has been widely used in recent years due to its many advantages such as long roasting temperature and time, green balls are not easy to break, and large output. In the process of pellet production, there are generally two ways to distribute the raw balls to the roasting machine. The first method is to transport the raw balls delivered by the pelletizing system to the swinging belt, and then swing the swinging belt left and right to evenly distribute the raw balls to the wide belt, and then transport them to the roasting machine through the roller screen. The second method is to transport the raw balls delivered by the pelletizing system to the shuttle distributor, and then the reciprocating motion of the shuttle distributor makes the raw balls evenly distributed on the wide belt, and then transport them to the roasting machine through the roller screen.

[0003] For roller-type material distributors, the key to uniform material distribution is that the thickness of the material laid by the swing belt or shuttle distributor on the wide belt is uniform and the material width is adapted to the width of the roller-type material distributor. Therefore, the thickness distribution uniformity of the material on the roller screen can be detected as early as possible, so as to prompt the cleaning of the roller screen or slide in time to ensure the stability of the roasting quality.

[0004] Currently, there is still a lack of an effective method to quickly and accurately measure the uniformity of material thickness. Summary of the invention

[0005] In view of this, the purpose of the present application is to provide a material thickness uniformity detection method, device, equipment and storage medium, which can quickly and accurately measure the uniformity of material thickness.

[0006] To achieve the above objectives, the present application discloses the following technical solutions:

[0007] In a first aspect, the present application provides a method for detecting material thickness uniformity, comprising:

[0008] Acquire material thickness scanning data on the plane to be scanned by a mobile acquisition device, wherein the mobile acquisition device is installed on a track, the track is arranged above the plane to be scanned and parallel to the plane to be scanned, and the material thickness scanning data includes a plurality of lines of first material thickness data;

[0009] Splitting the plurality of rows of the first material thickness data respectively to obtain the second material thickness data of a plurality of regions;

[0010] Calculating according to the fitting algorithm and the second material thickness data to obtain a fitting line segment for each of the plurality of regions;

[0011] Determine the average material thickness value of each of the regions according to the two endpoints of each of the regions and the fitting line segment, and a row of first material thickness data corresponds to the average material thickness values ​​of a plurality of the regions;

[0012] The uniformity of the material thickness of each row is determined based on the average material thickness value of each row.

[0013] Optionally, the method further includes: obtaining a preset standard deviation threshold, and determining the uniformity of the material thickness of each row according to the average material thickness value of each row includes:

[0014] Calculate the average material thickness value of each row to obtain the standard deviation of each row;

[0015] If it is determined that the standard deviation of any one of the rows is less than or equal to a preset standard deviation threshold, it is determined that the material thickness of any one of the rows is uniform;

[0016] If it is determined that the standard deviation of any one of the rows is greater than a preset standard deviation threshold, it is determined that the material thickness of any one of the rows is uneven.

[0017] Optionally, the method further includes:

[0018] Get the preset material standard thickness range;

[0019] If the average material thickness values ​​are all outside the preset material standard thickness range, an alarm prompt message is generated.

[0020] Optionally, if it is determined that there are rows with uneven material thickness and rows with uniform material thickness, the method further includes:

[0021] Determine the number of changed rows according to the rows with uneven material thickness and the rows with uniform material thickness, wherein the number of changed rows is used to indicate the number of rows that change from the rows with uniform material thickness to the rows with uneven material thickness;

[0022] The bonding position for bonding the materials is determined according to the changed number of rows.

[0023] Optionally, the method further includes: acquiring a moving speed and a collection frequency of a mobile collection device;

[0024] Determining the bonding position of the material according to the changed number of rows includes:

[0025] The bonding position is determined according to the moving speed, the acquisition frequency, and the number of changed rows.

[0026] Optionally, the method further includes: sending the bonding position to an automatic material clearing device, so that the automatic material clearing device clears the material stuck at the bonding position.

[0027] In a second aspect, the present application provides a device for detecting material thickness uniformity, comprising:

[0028] an acquisition unit, configured to acquire material thickness scanning data on a plane to be scanned by a mobile acquisition device, wherein the mobile acquisition device is installed on a track, and the track is arranged above the plane to be scanned and parallel to the plane to be scanned, wherein the material thickness scanning data includes a plurality of lines of first material thickness data;

[0029] A splitting unit, used for splitting the plurality of rows of the first material thickness data respectively to obtain the second material thickness data of a plurality of regions;

[0030] A calculation unit, configured to perform calculation according to a fitting algorithm and the second material thickness data to obtain a fitting line segment for each of the plurality of regions;

[0031] A determination unit, used for determining an average material thickness value of each of the regions according to two endpoints of each of the regions and the fitting line segment, wherein a row of first material thickness data corresponds to average material thickness values ​​of a plurality of the regions;

[0032] The determining unit is further used to determine the uniformity of the material thickness of each row according to the average material thickness value of each row.

[0033] Optionally, the device further comprises:

[0034] An acquisition unit, used to acquire a preset standard deviation threshold,

[0035] The determining unit comprises:

[0036] A calculation subunit, used to calculate according to the average material thickness value of each row respectively to obtain the standard deviation of each row;

[0037] a determination subunit, for determining that the material thickness of any one of the rows is uniform if the standard deviation of any one of the rows is less than or equal to a preset standard deviation threshold;

[0038] The determination subunit is used to determine that the material thickness of any one of the rows is uneven if the standard deviation of any one of the rows is greater than a preset standard deviation threshold.

[0039] In a third aspect, the present application provides a device for detecting material thickness uniformity, comprising:

[0040] Memory for storing computer programs;

[0041] A processor is used to execute the computer program stored in the memory to implement the steps of the method for detecting material thickness uniformity as provided in the first aspect.

[0042] In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, the computer program being executed by a processor to implement the steps of the method for detecting material thickness uniformity as provided in the first aspect.

[0043] The present application provides a method, device, equipment and storage medium for detecting uniformity of material thickness. In a method for detecting uniformity of material thickness, material thickness scanning data on a plane to be scanned is obtained by a mobile acquisition device, the mobile acquisition device is installed on a track, the track is arranged above the plane to be scanned and parallel to the plane to be scanned, the material thickness scanning data includes multiple rows of first material thickness data; the multiple rows of the first material thickness data are respectively split to obtain second material thickness data of multiple regions; according to the fitting algorithm and the second material thickness data, a fitting line segment of each of the multiple regions is calculated; according to the two endpoints of each region and the fitting line segment, the average material thickness value of each region is determined, and a row of first material thickness data corresponds to the average material thickness value of multiple regions; according to the average material thickness value of each row, the uniformity of the material thickness of each row is determined. Through the above method, the first material thickness data of each row can be obtained with high precision, and the subsequent calculation is based on the fitting method, so that the uniformity of the material thickness of each row can be quickly and accurately determined. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0045] Figure 1 It is a flow chart of a method for detecting material thickness uniformity provided in an embodiment of the present application;

[0046] Figure 2 It is a structural schematic diagram of a roller-type material distribution machine provided in an embodiment of the present application;

[0047] Figure 3 It is a collection schematic diagram of a 3D line laser profiler provided in an embodiment of the present application;

[0048] Figure 4 It is a track schematic diagram provided in an embodiment of the present application;

[0049] Figure 5 It is a schematic diagram of the accumulation of green balls on a surface to be measured and the measured height provided in an embodiment of the present application;

[0050] Figure 6 It is a structural schematic diagram of a mobile data collection device provided in an embodiment of the present application;

[0051] Figure 7 is a schematic diagram of a plane structure to be scanned provided in an embodiment of the present application;

[0052] Figure 8 It is a structural schematic diagram of a device for detecting material thickness uniformity provided in an embodiment of the present application. DETAILED DESCRIPTION

[0053] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0054] To facilitate understanding of the technical solution provided by this application, the background technology involved in this application will be described below.

[0055] The uniformity of material distribution on the roasting machine trolley is an important link that affects the entire belt roasting process. It is a necessary condition for the green balls to be evenly heated on the roasting machine. The uniform distribution of material is the key to ensuring the quality stability of roasting. For roller-type distributors, the key to uniform distribution is that the thickness of the swing belt or shuttle distributor on the wide belt is uniform and the width of the material is adapted to the width of the roller distributor. For this reason, the uniformity of the thickness distribution of the material on the roller screen can be detected as early as possible to detect the problem of uneven material flow distribution and ensure the quality stability of roasting.

[0056] Based on this, the present application provides a method, device, equipment and storage medium for detecting the uniformity of material thickness. In a method for detecting the uniformity of material thickness, a mobile acquisition device is used to obtain material thickness scanning data on a plane to be scanned. The mobile acquisition device is installed on a track. The track is set above the plane to be scanned and parallel to the plane to be scanned. The material thickness scanning data includes multiple rows of first material thickness data; the multiple rows of the first material thickness data are split respectively to obtain the second material thickness data of multiple regions; according to the fitting algorithm and the second material thickness data, a fitting line segment of each of the multiple regions is calculated; according to the two endpoints of each region and the fitting line segment, the average material thickness value of each region is determined, and a row of the first material thickness data corresponds to the average material thickness value of multiple regions; according to the average material thickness value of each row, the uniformity of the material thickness of each row is determined. Through the above method, the first material thickness data of each row can be obtained with high precision, and the subsequent calculation is based on the fitting method, so that the uniformity of the material thickness of each row can be quickly and accurately determined.

[0057] To facilitate understanding of the technical solution provided by the present application, a method for detecting material thickness uniformity provided by the present application will be described below in conjunction with the accompanying drawings. Figure 1 , which is a schematic diagram of a method for detecting material thickness uniformity provided in an embodiment of the present application, such as Figure 1 As shown, the method includes S101-S105.

[0058] S101: Obtain material thickness scanning data on a plane to be scanned by a mobile acquisition device, wherein the mobile acquisition device is installed on a track, and the track is arranged above the plane to be scanned and parallel to the plane to be scanned, and the material thickness scanning data includes a plurality of rows of first material thickness data.

[0059] In the embodiment of the present application, the plane to be scanned can be scanned by a mobile acquisition device to obtain material thickness scanning data on the scanning plane. The present application does not limit the specific content of the plane to be scanned. As an example, the plane to be scanned can be a roller screen and slide of a roller feeder. Figure 2 As shown, Figure 2 A schematic structural diagram of a roller material distribution machine provided in an embodiment of the present application, wherein the roller material distribution machine comprises a roller screen and a slide.

[0060] The present application does not limit the specific structure of the mobile acquisition device. As an example, the mobile acquisition device may include a 3D line laser profiler. Figure 3 As shown, Figure 3A collection schematic diagram of a 3D line laser profiler provided in an embodiment of the present application, the 3D line laser profiler collects one line of data each time. That is, the present application performs scanning through a mobile collection device, and through multiple collections, multiple lines of first material thickness data can be collected as material thickness scanning data. It can be understood that the first material thickness data includes the height data of the material on the plane to be collected.

[0061] In the embodiment of the present application, a track can be set above the plane to be scanned, and the track needs to be parallel to the plane to be scanned. For example, when the plane to be scanned is a roller screen and a slide of a roller feeder, the track set in the present application needs to be parallel to the roller screen and the slide, respectively. Figure 4 As shown, Figure 4 A schematic diagram of a track provided in an embodiment of the present application. The track in the embodiment of the present application is parallel to the slide and the roller screen surface, that is, the height h1=h2, h3=h4 in the figure. Further, if the manufacturing and installation conditions permit, the distance from the track to the slide is consistent with the distance from the track to the roller screen surface, that is, h1=h2=h3=h4, so as to better measure the first material thickness data.

[0062] The present application does not limit the specific method of obtaining material thickness scanning data on the plane to be scanned by the mobile acquisition device. As an example, the present application can first perform height measurement when the surface of the plane to be scanned is clean and there is no material transport, and obtain a standard height value when the surface of the plane to be scanned is empty. The standard height value is the distance from the mobile acquisition device to the plane to be scanned. When measuring the material thickness scanning data, the material thickness scanning data can be obtained by subtracting the measured value from the standard height value, and the measured value is the distance from the mobile acquisition device to the material.

[0063] S102: Split multiple rows of first material thickness data respectively to obtain second material thickness data of multiple regions.

[0064] In the embodiment of the present application, after obtaining multiple rows of first material thickness data, each row is split to obtain multiple regions of second material thickness data. The present application does not limit the number of regions to be split, and the number of regions to be split can be determined according to actual conditions.

[0065] As a possible implementation method, the sizes of the regions obtained by splitting in this application are the same.

[0066] S103: Calculate according to the fitting algorithm and the second material thickness data to obtain a fitting line segment for each of the plurality of regions.

[0067] In the embodiment of the present application, after obtaining the second material thickness data of multiple regions, a fitting line segment of each region in the multiple regions is obtained according to the fitting algorithm and the second material thickness data. It is understandable that each line in the present application can be split and calculated to obtain fitting line segments of multiple regions.

[0068] The present application does not limit the specific content of the fitting algorithm. As an example, the fitting algorithm can be linear regression, polynomial regression or Hough straight line fitting, etc. It is understood that the present application is based on the method of scatter point fitting straight line, fitting the thickness straight line of each area, and then obtaining a specific fitting line segment according to the range of each area. It is understood that the fitting line segment is used to represent the thickness value corresponding to each endpoint in the area.

[0069] In the embodiment of the present application, the material to be measured may be green pellets. Figure 5 As shown, Figure 5 It is a schematic diagram of the accumulation of raw balls on a surface to be measured and the measurement height provided in an embodiment of the present application. Figure 5 It shows that a row of data is split into 7 areas. The x-axis coordinate range of the areas is [0, X1] for area 1, [X1, X2] for area 2, [X2, X3] for area 3, [X3, X4] for area 4, [X4, X5] for area 5, [X5, X6] for area 6, and [X6, X7] for area 7.

[0070] It is understandable that due to the shape of the raw ball, the thickness of the material layer detected by the mobile collection device fluctuates within a certain range, such as Figure 5 As shown in the figure, the thickness of the material is distributed between h1 and h2, not in a plane, and the gaps between the raw balls may have abnormal values ​​due to problems such as the laser reflection receiving angle. In order to better calculate the material thickness value in the representative area, this application does not directly calculate the average value of the thickness of the area, but fits a straight line representing the area based on the thickness value of the area, thereby reducing the impact of abnormal values ​​on the calculation results of the material layer thickness in the area.

[0071] S104: determining an average material thickness value of each of the regions according to the two endpoints and the fitting line segment of each of the regions, and a row of first material thickness data corresponds to average material thickness values ​​of a plurality of the regions.

[0072] In the embodiment of the present application, after splitting to obtain multiple regions, the range of each region can be determined, so that any two endpoints of each region can be directly determined, and then the thickness values ​​corresponding to the two endpoints can be determined based on the fitted line segments of the region. The average material thickness value of each region is then calculated based on the thickness values ​​corresponding to the two endpoints. As an example, the present application can obtain the average material thickness value of the region by taking the average value of the sum of the thickness values ​​corresponding to the two endpoints.

[0073] In an embodiment of the present application, a row of first material thickness data corresponds to the average material thickness values ​​of multiple regions, indicating that each row of data in the present application is split into multiple regions, and the average material thickness value is calculated, so that each row can obtain the average material thickness values ​​of multiple regions.

[0074] As a possible implementation method, the two endpoints selected in this application are the edge endpoints of the region. Figure 5 As shown, it is assumed that the thickness values ​​corresponding to the two edge endpoints of region 1 in this application are: The present application can then add the thickness values ​​corresponding to the two endpoints and divide the sum by two to obtain the average thickness value of region 1.

[0075] S105: Determine the uniformity of the material thickness of each row according to the average material thickness value of each row.

[0076] In the embodiment of the present application, after the average material thickness of multiple regions in each row is determined, the uniformity of the material thickness of each row can be determined based on the average material thickness value of the multiple regions.

[0077] The present application does not limit the specific method of determining the uniformity of the material thickness of each row according to the average material thickness value. As a possible implementation method, the present application can obtain a preset standard deviation threshold, and then S105 determines the uniformity of the material thickness of each row according to the average material thickness value of each row, including the following steps:

[0078] A1: Calculate the average material thickness value of each row to obtain the standard deviation of each row.

[0079] A2: If it is determined that the standard deviation of any one of the rows is less than or equal to a preset standard deviation threshold, it is determined that the material thickness of any one of the rows is uniform.

[0080] A3: If it is determined that the standard deviation of any one of the rows is greater than a preset standard deviation threshold, it is determined that the material thickness of any one of the rows is uneven.

[0081] In the embodiment of the present application, the average material thickness values ​​of multiple areas of each row can be calculated by the standard deviation algorithm to obtain the standard deviation of each row. Then, the size relationship between the standard deviation of each row and the preset standard deviation threshold is determined. If the standard deviation is less than or equal to the preset standard deviation threshold, it is determined that the material of the row is uniform. If the calculated standard deviation is greater than the preset standard deviation threshold, it is determined that the material of the row is non-uniform.

[0082] Through the above method, the present application can set a track above the plane to be scanned, so that the first material thickness data of each row can be obtained with high precision through a mobile acquisition device, and subsequent calculations are performed based on fitting, reducing the impact of outliers on the average material thickness results of the calculation area, thereby being able to quickly and accurately determine the uniformity of the material thickness of each row.

[0083] As another possible implementation, a method for detecting material thickness uniformity provided in the present application further includes the following steps:

[0084] B2: Get the preset material standard thickness range.

[0085] B2: If the average material thickness values ​​are all outside the preset material standard thickness range, an alarm prompt message is generated.

[0086] It is understandable that in the embodiment of the present application, the thickness value of the material needs to be maintained within the preset material standard thickness range. The present application does not limit the specific size of the preset material standard thickness range, and the preset material standard thickness range can be set according to actual conditions.

[0087] The present application does not limit the specific method of generating the alarm prompt information. As an example, if the average material thickness values ​​are all lower than the minimum value of the preset material standard thickness interval, an alarm prompt information of the average material thickness value being too low is generated. If the average material thickness values ​​are all lower than the maximum value of the preset material standard thickness interval, an alarm prompt information of the average material thickness value being too high is generated.

[0088] It is understandable that if the average material thickness value is too high, it will affect the screening efficiency of the material. If the average material thickness value is too low, it will affect the uniformity of the material distribution. Therefore, this application judges the average material thickness value based on the preset material standard thickness range, which can effectively remind users to make adjustments or repairs in time.

[0089] As a possible implementation method, the present application can first determine that the number of average material thickness values ​​of the area corresponding to each row that is outside the preset material standard thickness range is less than the preset number threshold, and then calculate the standard deviation to make a standard deviation judgment. It can be understood that if the average material thickness value of the area corresponding to each row is greater than or equal to the preset number threshold, it can be directly determined that the average material thickness value of each area does not meet the requirements, which can effectively reduce the amount of calculation and improve the efficiency of determining the uniformity of the material thickness of each row.

[0090] As a possible implementation manner, if it is determined that there are rows with uneven material thickness and rows with uniform material thickness, a method for detecting material thickness uniformity provided in the present application further includes the following steps:

[0091] C1: Determine the changed row number according to the row with uneven material thickness and the row with uniform material thickness, wherein the changed row number is used to indicate the row number that changes from the row with uniform material thickness to the row with uneven material thickness.

[0092] C2: Determine the bonding position of the materials according to the changed number of rows.

[0093] It is understandable that when there is a sticky material on the plane to be scanned, the material may be segregated due to the blocking of the sticky material, resulting in uneven material thickness in the subsequent area. Therefore, according to the previous judgment method, the uniformity of each row is calculated. When the material transitions from uniform to uneven, it can be judged that there may be material adhesion at this position, and the number of rows where the material thickness changes from uniform to uneven is recorded.

[0094] The present application does not limit the determination of the bonding position of the materials according to the number of changed rows. As an example, the present application can also obtain the moving speed and collection frequency of the mobile collection device, and C2 determines the bonding position of the materials according to the number of changed rows, including: determining the bonding position according to the moving speed, collection frequency and number of changed rows.

[0095] It can be understood that the mobile collection device can run along the track to collect material thickness scanning data on the plane to be scanned. The collection frequency is used to indicate how many rows of first material thickness data can be collected per unit time. In this application, the number of changed rows can be divided by the collection frequency to obtain the time for collecting the changed rows, and then the time for collecting the changed rows can be multiplied by the moving speed to obtain the bonding position. Through the above method, the area where the material thickness is uneven can be quickly located.

[0096] As a possible implementation manner, a material thickness uniformity detection method provided in the present application further includes: sending the bonding position to an automatic material clearing device, so that the automatic material clearing device clears the material bonding at the bonding position.

[0097] In the embodiment of the present application, the bonding position can also be sent to the automatic cleaning device so that the automatic cleaning device can clear the material bonding at the bonding position, thereby quickly clearing the material bonding and ensuring the subsequent uniform material thickness more quickly and effectively.

[0098] The present application is further described below in conjunction with specific application scenarios. The present application embodiment takes the example of the plane to be scanned including the roller screen and slide of a roller feeder to illustrate the solution of the present application. Figure 6 As shown, Figure 6 A structural diagram of a mobile acquisition device provided in an embodiment of the present application. The mobile acquisition device in the present application includes a 3D line laser profiler, a mobile trolley, an automatic wire reel, a 3D line laser profiler cable, a rotary encoder, a wire clamping device, and a mobile trolley power supply cable.

[0099] The 3D line laser profiler is installed on a mobile trolley. One end of the mobile trolley and the 3D profiler cable are respectively connected to an automatic cable reel. The automatic cable reel is used in the embodiment of the present application, so that under the action of the traction force of the automatic cable reel, the cable between the cable reel and the device can be straightened. An encoder is installed on the trolley power cable (or 3D profiler cable), and the moving speed and position of the mobile trolley can be calculated by the cable retraction length and speed. In addition, during the movement of the trolley, the cable reel can retract and release the cable to avoid the unsightly cable tangles.

[0100] The cable passes between the encoder driving wheel and the driven wheel, and the cable drives the rotary encoder to rotate, and the running speed and running distance of the cable are calculated. A cable clamping device is added before the cable and equipment connection interface to avoid long-term pulling on the cable equipment connection causing the connection to become loose. Figure 7 As shown, Figure 7 A schematic diagram of a plane to be scanned structure provided in an embodiment of the present application. In the present application, a track can be set above the plane to be scanned, and the track is parallel to the plane to be scanned, so that the mobile vehicle can move forward and backward along the track direction according to the set speed.

[0101] In the embodiment of the present application, a thin steel plate is placed at the roller screen. When measuring, the present application will first measure the empty standard height value H at the slide. 1 , and the standard height value H of the roller screen without load 2 , the thickness of the thin steel plate is known to be H 钢 The value of the first material thickness data measured at the slide is: H 1 -H 测 ,,The value of the first material thickness data at the roller screen is: H 2 +H 钢 -H 测 .

[0102] In the embodiment of the present application, the mobile vehicle can obtain multiple rows of first material thickness data on the plane to be scanned. It is understandable that after obtaining multiple rows of first material thickness data, the multiple rows of first material thickness data can be split respectively to obtain second material thickness data of multiple regions. The present application takes dividing a row of data into 7 regions as an example. The second material thickness data of each region is expressed as:

[0103]

[0104] Where n represents the point where the material layer thickness value is detected in each area. Under the same width, the more n values ​​are, the smaller the sampling interval is and the higher the sampling accuracy is.

[0105] After obtaining the second material thickness data of multiple regions, the fitting algorithm is combined to calculate the fitting of the representative region to obtain the thickness straight line of each region. Finally, according to the x-axis coordinate range of the region, the line segment representing the thickness value of each region is obtained. The following are the two endpoint values ​​of the representative line segment:

[0106] Region 1:

[0107] Region 2:

[0108] Region 3:

[0109] …

[0110] Region 7:

[0111] According to the edge endpoints of each area, the average material thickness value of the area is calculated. Taking area 1 as an example: the average material thickness value of this area is: The average material thickness values ​​of the seven regions are calculated as follows: H a1 ,H a2 ,H a3 ,H a4 ,H a5 ,H a6 ,H a7 .

[0112] Then calculate the standard deviation of a row based on the average material thickness value of the 7 areas, and combine the preset standard deviation threshold and the preset material standard thickness range [H min ,H max ]Determine whether to generate an alarm prompt message and determine the uniformity of the material thickness of each row.

[0113] If H a1 ,H a2 ,H a3 ,H a4 ,H a5,H a6 ,H a7 Both are greater than H max , it can be determined that the average material thickness value in the area is too high, affecting the screening efficiency.

[0114] If H a1 ,H a2 ,H a3 ,H a4 ,H a5 ,H a6 ,H a7 Both are smaller than H min , it can be determined that the average material thickness value in the area is too low, affecting the uniformity of the fabric.

[0115] If H a1 ,H a2 ,H a3 ,H a4 ,H a5 ,H a6 ,H a7 More than [H min ,H max ] is less than or equal to 6, and then determine whether the standard deviation exceeds the preset standard deviation threshold. If the standard deviation is greater than the preset standard deviation threshold, it is determined that the material thickness of this row is uneven. If the standard deviation is less than or equal to the preset standard deviation threshold, it is determined that the material thickness of this row is uniform.

[0116] In the embodiment of the present application, the average material thickness values ​​of multiple areas calculated from the multiple rows of first material thickness data collected during a single operation of the mobile vehicle on the track can also be used to establish a matrix. The present application takes the number of divided areas per row as 7 as an example, and the matrix of the average material thickness values ​​of multiple areas is as follows:

[0117]

[0118] The matrix has F rows of data, each row of which includes the average material thickness values ​​of 7 regions, namely Indicates the average material thickness value of the first area in the first row. Indicates the average material thickness value of the second area in the first row, and so on. It indicates the average material thickness value of the 7th area of ​​row F. It can be understood that the data of row F is calculated based on the sampling frequency f of the 3D line laser profiler per unit time and the one-way running time t of the mobile trolley, which can be specifically: F = f × t. The one-way running time of the trolley is Among them, v represents the moving speed of the mobile car, and L represents the one-way running length of the mobile car.

[0119] The first row of the matrix can represent the position of the roller screen close to the wide belt, and the last row is the direction of the slide close to the trolley. When the thickness of the material layer on the wide belt is uniform, the thickness of the material layer on the roller screen is relatively uniform. When there is bonding material on the roller screen or the slide, the material may be segregated due to the blocking of the bonding material, resulting in uneven material layer thickness in the subsequent area. Therefore, according to the previous judgment method, the uniformity of each row is calculated. When the thickness of the material changes from uniform to uneven, it can be judged that there may be material bonding at this position. The number of rows in the change area is recorded as j, and the bonding position of the material bonding can be calculated according to the following formula:

[0120] Where P represents the position information of material bonding.

[0121] See also Figure 8 , Figure 8 A schematic diagram of the structure of a device for detecting material thickness uniformity provided in an embodiment of the present invention, the device includes an acquisition unit 801, a splitting unit 802, a calculation unit 803 and a determination unit 804.

[0122] An acquisition unit 801 is used to acquire material thickness scanning data on a plane to be scanned by a mobile acquisition device, wherein the mobile acquisition device is installed on a track, and the track is arranged above the plane to be scanned and parallel to the plane to be scanned, and the material thickness scanning data includes a plurality of lines of first material thickness data;

[0123] A splitting unit 802 is used to split the multiple rows of the first material thickness data respectively to obtain the second material thickness data of multiple regions;

[0124] A calculation unit 803 is used to perform calculation according to a fitting algorithm and the second material thickness data to obtain a fitting line segment for each of the plurality of regions;

[0125] A determination unit 804 is used to determine an average material thickness value of each of the regions according to the two endpoints of each of the regions and the fitting line segment, and a row of first material thickness data corresponds to average material thickness values ​​of multiple regions;

[0126] The determining unit 805 is further configured to determine the uniformity of the material thickness of each row according to the average material thickness value of each row.

[0127] As a possible implementation, the device further includes: an acquisition unit, configured to acquire a preset standard deviation threshold value,

[0128] The determining unit comprises:

[0129] A calculation subunit, used to calculate according to the average material thickness value of each row respectively to obtain the standard deviation of each row;

[0130] a determination subunit, configured to determine that the material thickness of any one of the rows is uniform if it is determined that the standard deviation is less than or equal to a preset standard deviation threshold;

[0131] The determination subunit is configured to determine that the material thickness of any one of the rows is uneven if it is determined that the standard deviation is greater than a preset standard deviation threshold.

[0132] As a possible implementation manner, the device further includes a generating unit;

[0133] The acquisition unit is further used to acquire a preset material standard thickness range;

[0134] The generating unit is further configured to generate an alarm prompt message if the average material thickness values ​​are all outside a preset material standard thickness range.

[0135] As a possible implementation manner, the determining unit further includes:

[0136] The determination subunit is also used to determine the number of changed rows based on the rows with uneven material thickness and the rows with uniform material thickness if it is determined that there are rows with uneven material thickness and rows with uniform material thickness. The changed number of rows is used to indicate the number of rows that change from rows with uniform material thickness to rows with uneven material thickness.

[0137] The determining subunit is further used to determine the bonding position of the materials according to the changed number of rows.

[0138] As a possible implementation manner, the acquisition unit is further used to acquire the moving speed and acquisition frequency of the mobile acquisition device.

[0139] The determination subunit is further used to determine the bonding position according to the moving speed, the acquisition frequency and the number of changed rows.

[0140] As a possible implementation manner, the device further includes:

[0141] The sending unit is used to send the bonding position to the automatic material clearing device so that the automatic material clearing device can clear the material bonding at the bonding position.

[0142] The present application also provides a material thickness uniformity detection device, which may include a memory and a processor, wherein a computer program is stored in the memory, and when the processor calls the computer program in the memory, the steps provided in the above embodiment can be implemented. Of course, the terminal may also include various network interfaces, power supplies and other components.

[0143] It should be noted that the material thickness uniformity detection device provided in the embodiment of the present application has the technical effects of any of the above embodiments, and the embodiment of the present application will not be described in detail here.

[0144] The present application also provides a computer-readable storage medium on which a computer program is stored, and when the computer program is executed, the steps provided in the above embodiment can be implemented. The storage medium may include: a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and other media that can store program codes.

[0145] It should be noted that a computer-readable storage medium provided in an embodiment of the present application has the technical effects of any of the above embodiments, and the embodiments of the present application are not described in detail here.

[0146] It should be understood that in the present application, "at least one (item)" means one or more, and "plurality" means two or more. "And / or" is used to describe the association relationship of associated objects, indicating that three relationships may exist. For example, "A and / or B" can mean: only A exists, only B exists, and A and B exist at the same time, where A and B can be singular or plural. The character " / " generally indicates that the objects associated before and after are in an "or" relationship. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single or plural items. For example, at least one of a, b or c can mean: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, c can be single or multiple.

[0147] It should also be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the presence of other identical elements in the process, method, article or device including the elements.

[0148] Specific examples are used herein to illustrate the principles and implementation methods of the present application, and the description of the above embodiments is only used to help understand the method and core ideas of the present application. It should be pointed out that for ordinary technicians in this technical field, without departing from the principles of the present application, several improvements and modifications can be made to the present application, and these improvements and modifications also fall within the scope of protection of the claims of the present application.

Claims

1. A method for detecting material thickness uniformity, characterized in that: The method comprises: Acquire material thickness scanning data on the plane to be scanned by a mobile acquisition device, wherein the mobile acquisition device is installed on a track, the track is arranged above the plane to be scanned and parallel to the plane to be scanned, and the material thickness scanning data includes a plurality of lines of first material thickness data; Splitting the plurality of rows of the first material thickness data respectively to obtain the second material thickness data of a plurality of regions; Calculating according to the fitting algorithm and the second material thickness data to obtain a fitting line segment for each of the plurality of regions; Determine the average material thickness value of each of the regions according to the two endpoints of each of the regions and the fitting line segment, and a row of first material thickness data corresponds to the average material thickness values ​​of a plurality of the regions; The uniformity of the material thickness of each row is determined based on the average material thickness value of each row.

2. The method according to claim 1, characterized in that The method further includes: obtaining a preset standard deviation threshold, and then determining the uniformity of the material thickness of each row according to the average material thickness value of each row, including: Calculate the average material thickness value of each row to obtain the standard deviation of each row; If it is determined that the standard deviation of any one of the rows is less than or equal to a preset standard deviation threshold, it is determined that the material thickness of any one of the rows is uniform; If it is determined that the standard deviation of any one of the rows is greater than a preset standard deviation threshold, it is determined that the material thickness of any one of the rows is uneven.

3. The method according to claim 1, characterized in that: The method further comprises: Get the preset material standard thickness range; If the average material thickness values ​​are all outside the preset material standard thickness range, an alarm prompt message is generated.

4. The method according to claim 1, characterized in that: If it is determined that there are rows with uneven material thickness and rows with uniform material thickness, the method further includes: Determine the number of changed rows according to the rows with uneven material thickness and the rows with uniform material thickness, wherein the number of changed rows is used to indicate the number of rows that change from the rows with uniform material thickness to the rows with uneven material thickness; The bonding position for bonding the materials is determined according to the changed number of rows.

5. The method according to claim 4, characterized in that The method further comprises: obtaining a moving speed and a collection frequency of a mobile collection device; Determining the bonding position of the material according to the changed number of rows includes: The bonding position is determined according to the moving speed, the acquisition frequency, and the number of changed rows.

6. The method according to claim 4 or 5, characterized in that: The method further includes: sending the bonding position to an automatic material clearing device, so that the automatic material clearing device clears the material bonded to the bonding position.

7. A device for detecting material thickness uniformity, characterized in that: The device comprises: an acquisition unit, configured to acquire material thickness scanning data on a plane to be scanned by a mobile acquisition device, wherein the mobile acquisition device is installed on a track, and the track is arranged above the plane to be scanned and parallel to the plane to be scanned, wherein the material thickness scanning data includes a plurality of lines of first material thickness data; A splitting unit, used for splitting the plurality of rows of the first material thickness data respectively to obtain the second material thickness data of a plurality of regions; A calculation unit, configured to perform calculation according to a fitting algorithm and the second material thickness data to obtain a fitting line segment for each of the plurality of regions; A determination unit, used for determining an average material thickness value of each of the regions according to two endpoints of each of the regions and the fitting line segment, wherein a row of first material thickness data corresponds to average material thickness values ​​of a plurality of the regions; The determining unit is further used to determine the uniformity of the material thickness of each row according to the average material thickness value of each row.

8. The detection device according to claim 7, characterized in that: The device also includes: An acquisition unit, used to acquire a preset standard deviation threshold, The determining unit comprises: A calculation subunit, used to calculate according to the average material thickness value of each row respectively to obtain the standard deviation of each row; a determination subunit, configured to determine that the material thickness of any one of the rows is uniform if it is determined that the standard deviation is less than or equal to a preset standard deviation threshold; The determination subunit is configured to determine that the material thickness of any one of the rows is uneven if it is determined that the standard deviation is greater than a preset standard deviation threshold.

9. A material thickness uniformity detection device, characterized in that: include: Memory for storing computer programs; A processor, configured to execute the computer program stored in the memory to implement the steps of the method for detecting material thickness uniformity as claimed in any one of claims 1 to 6.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: The computer program is executed by a processor to implement the steps of the method for detecting material thickness uniformity according to any one of claims 1 to 6.

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