Package service method and system based on Internet of Things

Abstract

The invention discloses a method and system, and the method comprises the following steps: obtaining the thickness of a corner protector according to the sharpness of a single sharp node, and obtaining the volume of the corner protector according to the shape of a region covered by the corner protector and the thickness of the corner protector; when the total volume of the required angle bead material is within a threshold value, comparing angle bead covering density values obtained before and after angle bead covering and obtaining a corresponding collapse coefficient, and obtaining the surface area of the plastic package material according to the product of the collapse coefficient and a correction coefficient of a proportion value of each area of the edge occupying the total area; otherwise, determining different thicknesses of the corresponding nodes on the packaging material according to the score difference degree; a packaging part combination is obtained under the rule that the shape and the size of a packaging part are not changed and edge nodes of overlapped packaging parts are within a threshold value, a cuboid is constructed according to the tangent line of the outermost side, and the packaging group with the length, width and height parameters within the threshold value and the minimum gap total size is selected to conduct secondary packaging on the packaging part. The method has the characteristic of improving the accuracy and efficiency of the packaging service.

Description

Technical Field

[0001] The present invention relates to the technical field of industrial packaging, and in particular to a packaging service method and system based on the Internet of Things. Background Art

[0002] In production, life, and work, many devices and instruments are assembled from parts, making the proper assembly and preservation of parts crucial. In highly integrated factories, packaging service systems are often used to plastic-seal individual parts and perform secondary packaging on multiple parts after initial packaging.

[0003] The existing technology uses a single and fixed thickness packaging material and a corresponding packaging method to package parts, but some specific sharp areas of industrial production parts are unpredictable, resulting in the problem of damage to the parts packaging in the existing technology. In addition, some parts have high economic benefits. If the parts are packaged with packaging materials of uniform thickness, it will lead to low profits and waste of resources. In addition, the existing technology adopts a method of simply stacking several primary packages and then performing secondary packaging. This will result in large gaps between parts and loose single primary parts, which will cause packaging material wear, waste and low packaging accuracy. Therefore, it is very necessary to design a packaging service method and system based on the Internet of Things to more accurately detect the relevant parameters of the packaged parts and improve packaging and safety efficiency. Summary of the Invention

[0004] The purpose of the present invention is to provide a packaging service method and system based on the Internet of Things to solve the problems raised in the above background technology.

[0005] In order to solve the above technical problems, the present invention provides the following technical solution: a packaging service method based on the Internet of Things, the method comprising the following steps: The error degree is obtained based on the angle between the error nodes of the parts and the length of the connection line. The thickness of the corner guard is obtained based on the sharpness of a single sharp node. After laser irradiation, the thickness of the corner guard of adjacent sharp nodes is obtained based on the reflection angle and the closest distance. The volume of the corner guard is obtained based on the shape of the area covered by the corner guard and the thickness of the corner guard. When the total volume of the required corner protection material is within the threshold, the corner protection coverage density value before and after the corner protection is compared and the corresponding collapse coefficient is obtained. The surface area of ​​the plastic encapsulation material is obtained by multiplying the collapse coefficient and the correction coefficient based on the proportion of each edge area to the total area. When the total volume of the required corner protection material exceeds a threshold, a score difference is obtained, and the thickness of the corresponding nodes on the packaging material is determined according to the score difference; The combination of packaging parts is obtained under the rule that the shape and volume of the packaging parts are not changed and the edge nodes of the overlapping packaging parts are within the threshold. A cuboid is constructed according to the outermost tangent, and the packaging group with the length, width and height parameters within the threshold and the smallest total gap volume is selected for secondary packaging of the packaging parts.

[0006] According to the above technical solution, the error degree is obtained according to the angle between the part error nodes and the length of the connection line, including: Obtaining multi-angle visual images of the part, identifying characteristic nodes of the part after scanning the visual images, and obtaining a three-dimensional model of the part after connecting the characteristic nodes, wherein the three-dimensional model of the part is a closed solid area formed by combining a plurality of characteristic nodes; Comparing the three-dimensional model of the part with a preset model of the system, marking feature nodes with a similarity lower than a set threshold as error nodes, and marking a number of adjacent error nodes as a group of error regions; Obtain a line connecting the single error node and any remaining error nodes in the error region, obtain the angle between the line and the vertical direction, and obtain a first error degree according to a first preset relationship between the angle and the error degree. , obtain the connection length, and obtain the second error degree according to the second preset relationship between the connection length and the error degree , the angle of a single error point and the length of the corresponding connection line are marked as a set of error data, and the error coefficient is obtained according to the preset relationship between the single set of error data and the error degree; Calculate the error degree of several groups of error data of a single error node according to the formula , is the error coefficient corresponding to a single set of error data, is the weight of the error corresponding to the angle, is the weight of the error corresponding to the connection length.

[0007] According to the above technical solution, the corner guard thickness is obtained according to the sharpness of a single sharp node, the corner guard thickness of adjacent sharp nodes is obtained according to the reflection angle and the closest distance after laser irradiation, and the corner guard volume is obtained according to the shape of the area covered by the corner guard and the thickness of the corner guard, including: Obtaining the unobstructed total distance between the error node and any part edge feature node, and marking the error point whose total distance to the edge feature node is within a threshold as a sharp node; Mark the closed area formed by adjacent sharp nodes as a sharp area, obtain the average error of the same sharp area, obtain the difference between a single sharp node and the average error and the error of the node closest to the sharp node, set weights for the two differences respectively, and obtain the influence coefficient of the error difference on the sharpness. According to the product of the error of each point and the total distance, the correction coefficient of the total distance on the sharpness is obtained. The sharpness is the product of the influence coefficient and the correction coefficient. According to the preset relationship between the sharpness and the thickness of the corner guard, the thickness of the corner guard covering the point is obtained. Visible light is used to illuminate the sharp area of ​​the three-dimensional model of the part and the part area adjacent to the sharp area. When the reflection angle of the refracted ray emitted from the part area is within the same threshold as that of the sharp area, the characteristic node where the ray is emitted from the part area is marked as an adjacent sharp node. The sharp node and the adjacent sharp node are covered with traceless glue. Weights are set for the reflection angle of the adjacent sharp node and the distance from the nearest sharp node to obtain the corner protection thickness of the adjacent sharp node; The shape and thickness of the corner guard covering a single sharp node or adjacent sharp nodes are obtained according to the three-dimensional model of the part, and the total volume of the corner guards in several sharp areas is obtained.

[0008] According to the above technical solution, when the total volume of the required corner protection material is within the threshold, the corner protection coverage density value before and after the corner protection is compared to obtain the corresponding collapse coefficient, and the surface area of ​​the plastic encapsulation material is obtained by multiplying the collapse coefficient and the correction coefficient based on the proportion of each edge area to the total area, including: When the proportion of the total volume of the corner protectors to the volume of the part does not exceed a set threshold, the traceless glue is adsorbed to form a new first part volume; Compare the materials of the corner protection covered area with those when not covered by the corner protection, retrieve the density value of the original area material, and obtain the corner protection coverage density value according to the ratio of the volume of the original area material to the volume of the corner protection area according to the system preset relationship, and obtain the collapse coefficient corresponding to the corner protection area according to the density value; Obtain the remaining edge nodes of the part excluding the area covered by the corner guard, identify the material type of the remaining edge nodes and obtain the material density value, mark the area composed of adjacent edge nodes of the same material as a material area, and obtain the collapse coefficient corresponding to the material area based on the material density value; The ratio of the corner protection coverage area and the edge nodes of each material area to the total number of part edge nodes is obtained respectively, different weights are set for each ratio value, and a correction coefficient for the first part volume is obtained. The product of the first part volume, the collapse coefficient and the correction coefficient is obtained and marked as the second part volume. The surface area of ​​the plastic packaging material is obtained according to the second part volume.

[0009] According to the above technical solution, when the total volume of the required corner protection material exceeds a threshold, a score difference is obtained, and different thicknesses of corresponding nodes on the packaging material are determined according to the score difference, including: Obtaining a ratio of the total volume of the corner protector to the volume of the part; selecting a first packaging material for packaging when the ratio exceeds a set threshold; obtaining the sharpness of the sharp node; and obtaining a corresponding puncture coefficient based on a preset relationship between the sharpness and the puncture coefficient; Obtaining the sum of the puncture coefficients of all sharp nodes in a single sharp region, marking the ratio of the sum to the number of sharp nodes as the puncture score in the single sharp region, establishing a discrete model based on the puncture scores of several sharp regions, and marking the variance of the discrete model as the score difference; When the score difference is within the threshold area, the preset influence coefficient corresponding to the highest score is selected to obtain the corresponding packaging material thickness, and the packaging material surface area is obtained based on the part volume; Otherwise, the sharp nodes and characteristic nodes are matched on the surface of the packaging material, the packaging material thickness of the characteristic node is set to the original value, the packaging material thickness corresponding to the sharp node is obtained according to the influence coefficient corresponding to the puncture score, the difference between the packaging material thickness in the sharp area and the original thickness is obtained, a corresponding number of characteristic nodes adjacent to the sharp node on the packaging material are marked as transition nodes, the distance between the transition node and the transition node closest to the sharp node is obtained, and the corresponding packaging material thickness that has a negative correlation with the distance is obtained; The parts are packaged according to the surface area and thickness of the first packaging material.

[0010] According to the above technical solution, obtaining the packaging parts combination under the rule that the shape and volume of the packaging parts are not changed and the edge nodes of the overlapping packaging parts are within the threshold includes: After scanning the visual image where the packaging part is located, the edge nodes are identified. After overlapping the same edge node in multiple visual images, the location of the edge node is confirmed to obtain the packaging part model of the single packaging part in a three-dimensional context. The shape and volume of the packaging parts are obtained based on the packaging part model. After adjusting the angles of a specific preset number of packaging parts according to their edges, the packaging parts are combined under the rule that the shapes and volumes of the packaging parts are not changed to obtain a plurality of groups. The number of overlapping packaging part edge nodes in a single combination is marked, and the number of overlapping packaging part edge nodes of adjacent single packaging part models in a single combination must be greater than a set threshold. Acquire a secondary packaging part after combining the packaging parts, identify edge nodes of the secondary packaging part, and obtain an estimated volume of the secondary packaging part by defining a closed solid area formed by the edge nodes; Obtaining data on the proportion of the edge node to the total number of edge nodes of the specific preset number of packaging parts, fusing the data on the proportion with the number of edge nodes of overlapping packaging parts to obtain a volume correction coefficient for the secondary packaging parts, and marking the product of the estimated volume of the secondary packaging parts and the volume correction coefficient as the total volume of the second packaging parts; The total volume of the gaps is obtained according to the difference between the total volume of the second packaging component and the volume of a specific preset number of packaging components.

[0011] According to the above technical solution, the process of constructing a cuboid based on the outermost tangent and selecting a packaging group whose length, width and height parameters are within a threshold and whose total void volume is the smallest to perform secondary packaging on the packaging parts includes: Tangent lines of varying angles are drawn on the outer edges of the solid areas ultimately formed by each group, requiring that the tangent lines must not pass through the solid area. After selecting a number of tangent lines, a cuboid is obtained that just contains the outermost tangent line. Groups of second-packaged parts that fall within the length, width, and height thresholds of the cuboid are identified. These groups are marked as candidate groups. The candidate groups are sorted by total void volume from lowest to highest, and the second-packaged parts corresponding to the group with the lowest total volume are marked as secondary packaging parts. The volume of the secondary packaging component is obtained, the surface area of ​​the corresponding secondary packaging material is obtained, and the secondary packaging component is packaged after the surface area is obtained.

[0012] A packaging service system based on the Internet of Things, the system comprising: The corner guard confirmation module is used to obtain the error degree based on the angle between the part error nodes and the length of the connection line, obtain the corner guard thickness based on the sharpness of a single sharp node, obtain the corner guard thickness of adjacent sharp nodes based on the reflection angle and the closest distance after laser irradiation, and obtain the corner guard volume based on the shape of the area covered by the corner guard and the thickness of the corner guard; The plastic packaging module is used to compare the corner protection coverage density before and after coverage when the total volume of the required corner protection material is within a threshold value and obtain the corresponding collapse coefficient, and to obtain the surface area of ​​the plastic packaging material by multiplying the collapse coefficient by a correction coefficient based on the proportion of each edge area to the total area; The first packaging module is used to obtain a score difference when the total volume of the required corner protection material exceeds a threshold, and determine different thicknesses of corresponding nodes on the packaging material according to the score difference; The second packaging module is used to obtain the packaging parts combination under the rule that the shape and volume of the packaging parts are not changed and the edge nodes of the overlapping packaging parts are within the threshold. A rectangular parallelepiped is constructed according to the outermost tangent and the packaging group with the length, width and height parameters within the threshold and the smallest total gap volume is selected for secondary packaging of the packaging parts.

[0013] The third aspect of the present application provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the electronic device implements the method described in the first aspect of the present application.

[0014] The fourth aspect of the present application provides a computer-readable storage medium, which is used to store a computer program. When the computer program runs on a computer, the computer executes the method described in the first aspect of the present application.

[0015] Compared with the existing technology, the beneficial effects achieved by the present invention are as follows: the present invention completes the alarm after monitoring abnormal data in the shopping mall area, and determines the specific location of the fire source by analyzing the degree of flame burning on site, and completes the fire monitoring alarm and fire source location determination work more efficiently, quickly and accurately, thereby improving the fire early warning efficiency; after a fire occurs in the shopping mall, the location of trapped people and safety passage exits is confirmed, and at the same time, the danger level of flammable materials is monitored and the dredging path is planned, effectively monitoring the fire situation and efficiently planning the dredging path. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings: Figure 1 This is a flowchart of a packaging service method based on the Internet of Things provided by the first embodiment of the present invention; Figure 2 2 is a schematic diagram of the system module composition of a packaging service based on the Internet of Things provided by the second embodiment of the present invention.

[0017] Figure 3 is a schematic diagram of an electronic device according to an embodiment of the present application. DETAILED DESCRIPTION

[0018] It should be noted that, in the absence of conflict, the embodiments and features of the embodiments in this application can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0019] It should be noted that the steps shown in the flowcharts of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and that, although a logical order is shown in the flowcharts, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0020] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0021] See also Figure 1 The present invention provides a technical solution: a packaging service method based on the Internet of Things, comprising: The error degree is obtained based on the angle between the error nodes of the parts and the length of the connection line. The thickness of the corner guard is obtained based on the sharpness of a single sharp node. After laser irradiation, the thickness of the corner guard of adjacent sharp nodes is obtained based on the reflection angle and the closest distance. The volume of the corner guard is obtained based on the shape of the area covered by the corner guard and the thickness of the corner guard. When the total volume of the required corner protection material is within the threshold, the corner protection coverage density value before and after the corner protection is compared and the corresponding collapse coefficient is obtained. The surface area of ​​the plastic encapsulation material is obtained by multiplying the collapse coefficient and the correction coefficient based on the proportion of each edge area to the total area. When the total volume of the required corner protection material exceeds a threshold, a score difference is obtained, and the thickness of the corresponding nodes on the packaging material is determined according to the score difference; The combination of packaging parts is obtained under the rule that the shape and volume of the packaging parts are not changed and the edge nodes of the overlapping packaging parts are within the threshold. A cuboid is constructed according to the outermost tangent, and the packaging group with the length, width and height parameters within the threshold and the smallest total gap volume is selected for secondary packaging of the packaging parts.

[0022] The present invention, after establishing a three-dimensional model of the part, detects the error nodes of the part, marks the area composed of error nodes closer to the edge area as a sharp area, calculates the sharpness and sharpness coefficient in the sharp area, and then determines the shape, thickness and volume of the corner guard corresponding to the corner guard area, which can improve the accuracy of protecting the sharp part of the part; it is divided into two cases for discussion. When the total volume of the corner guard is within the threshold, the thickness of the corresponding plastic packaging material is obtained by analyzing the different densities and collapse coefficients caused by different materials in the corner guard coverage area and the remaining area; when the volume of the corner guard exceeds the threshold, the corner guard is not considered, and the puncture coefficient of the sharp area is analyzed. The corresponding puncture score difference is obtained according to the puncture coefficient. When the difference is small, Parts are packaged using the corresponding packaging material thickness with the highest puncture coefficient. When the difference is large, the thickness of the packaging material point is determined according to the location of the corresponding part feature point where the matching packaging material is located. In order to avoid the packaging material from breaking, a transition node is set, and the thickness of the transition node becomes lower as the distance from the sharp node increases; the detailed analysis takes into account the cost of the packaging material and improves the safety of the packaging process; when performing secondary packaging on several packaging parts, the overlapping edge nodes are used as the fulcrum, the error caused by the gap is taken into account, and the packaging parameters are framed by the long body established by the tangent, which can effectively reduce resource waste and avoid the loosening of packaging parts caused by excessive gaps. It is efficient and accurate.

[0023] In certain preferred embodiments, obtaining the error degree based on the angle between the part error nodes and the length of the connection line further includes the following steps: Obtain multi-angle visual images of the part, identify the feature nodes of the part after scanning the visual images, and obtain a three-dimensional model of the part after connecting the feature nodes. The three-dimensional model of the part is a closed solid area formed by the combination of several feature nodes; Compare the three-dimensional model of the part with the system preset model, mark the feature nodes with similarity lower than the set threshold as error nodes, and mark several adjacent error nodes as a group of error areas; Get the line connecting a single error node and any remaining error nodes in the error area, get the angle between the line and the vertical direction, and get the first error degree according to the first preset relationship between the angle and the error degree. , obtain the connection length, and obtain the second error degree according to the second preset relationship between the connection length and the error degree , the angle of a single error point and the length of the corresponding connection line are marked as a set of error data, and the error coefficient is obtained according to the preset relationship between the single set of error data and the error degree; Calculate the error degree of several groups of error data of a single error node according to the formula , is the error coefficient corresponding to a single set of error data, is the weight of the error corresponding to the angle, is the weight of the error corresponding to the connection length.

[0024] In certain preferred embodiments, the thickness of the corner guard is obtained according to the sharpness of a single sharp node, the thickness of the corner guard of adjacent sharp nodes is obtained according to the reflection angle and the closest distance after laser irradiation, and the volume of the corner guard is obtained according to the shape of the area covered by the corner guard and the thickness of the corner guard, further comprising the following steps: obtaining the unobstructed total distance between the error node and any part edge feature node, marking the error point whose total distance to the edge feature node is within a threshold as a sharp node; Mark the closed area formed by adjacent sharp nodes as a sharp area, obtain the average error of the same sharp area, obtain the difference between a single sharp node and the average error and the error of the node closest to the sharp node, set weights for the two differences respectively, and obtain the influence coefficient of the error difference on the sharpness. The correction coefficient of the total distance on the sharpness is obtained according to the product of the error of each point and the total distance. The sharpness is the product of the influence coefficient and the correction coefficient. According to the preset relationship between sharpness and corner guard thickness, the thickness of the corner guard covering the point is obtained. Visible light is used to illuminate the sharp area of ​​the three-dimensional model of the part and the part area adjacent to the sharp area. When the reflection angle of the refracted ray emitted from the part area is within the same threshold as the sharp area, the characteristic node where the ray is emitted from the part area is marked as the adjacent sharp node. The sharp node and the adjacent sharp node are covered with traceless glue. The weight is set for the reflection angle of the adjacent sharp node and the distance to the nearest sharp node respectively to obtain the corner protection thickness of the adjacent sharp node; The shape and thickness of the corner guard covering a single sharp node or adjacent sharp nodes are obtained according to the three-dimensional model of the part, and the total volume of the corner guards in several sharp areas is obtained.

[0025] After establishing the three-dimensional model of the part, the error nodes of the part are detected, and the area composed of error nodes closer to the edge area is marked as the sharp area. After calculating the sharpness and sharpness coefficient in the sharp area, the shape, thickness and volume of the corner guard corresponding to the corner guard area are determined, which can improve the accuracy of protecting the sharp parts of the parts.

[0026] In certain preferred embodiments, when the total volume of the required corner protector material is within a threshold, the corner protector coverage density values ​​before and after corner protector coverage are compared to obtain a corresponding collapse coefficient, and the surface area of ​​the molding material is obtained by multiplying the collapse coefficient by a correction coefficient based on the ratio of each edge area to the total area. The method further includes the following steps: when the ratio of the total volume of the corner protector to the volume of the part does not exceed a set threshold, obtaining a new first part volume formed after the traceless glue is adsorbed; Compare the materials of the corner protection covered area with those when not covered by the corner protection, retrieve the density value of the original area material, and obtain the corner protection coverage density value based on the volume ratio of the original area material to the volume of the corner protection area according to the system preset relationship. Then, obtain the corresponding collapse coefficient of the corner protection area based on the density value. Obtain the remaining edge nodes of the part excluding the area covered by the corner guard, identify the material type of the remaining edge nodes and obtain the material density value, mark the area consisting of adjacent edge nodes of the same material as the material area, and obtain the collapse coefficient corresponding to the material area based on the material density value; respectively obtain the ratio of the corner guard coverage area and the edge nodes of each material area to the total number of part edge nodes, set different weights for each ratio value, obtain a correction coefficient for the volume of the first part, obtain the product of the first part volume, the collapse coefficient and the correction coefficient, and mark it as the second part volume, and obtain the surface area of ​​the plastic encapsulation material based on the second part volume; Obtain the position of the part to which the corner guard belongs. If there is only one corner guard, identify the edge nodes in the corner guard area and obtain the total distance from any edge node to the remaining edge nodes. This distance must be the sum of multiple unobstructed straight-line distances. Arrange the total distances from low to high and select the corner guard edge node with the lowest total distance as the first packaging node in contact with the plastic packaging material. The first contact point of the plastic packaging material is located and matched. The part is packaged after the first packaging node and the first contact point coincide. When there are two or more corner guards, identify the edge nodes of the corner guard area, calculate the total distance between any part edge node and all corner guard edge nodes except the corner guard area, and require the distance to be the sum of multiple unobstructed straight-line distances. Arrange the total distances from low to high, and select the part edge node with the lowest total distance as the second packaging node. After determining the position of the second packaging node, match and locate the second contact point of the plastic packaging material. After the second packaging node coincides with the second contact point, package the part.

[0027] In certain preferred embodiments, when the total volume of the required corner protector material exceeds a threshold, a score difference is obtained, and different thicknesses of corresponding nodes on the packaging material are determined based on the score difference, further comprising the following steps: obtaining a ratio of the total volume of the corner protector to the volume of the part, selecting a first packaging material for packaging when the ratio exceeds a set threshold, obtaining the sharpness of the sharp node, and obtaining a corresponding puncture coefficient based on a preset relationship between the sharpness and the puncture coefficient; Obtain the sum of the puncture coefficients of all sharp nodes in a single sharp area, mark the ratio of the sum to the number of sharp nodes as the puncture score in the single sharp area, establish a discrete model based on the puncture scores of several sharp areas, and mark the variance of the discrete model as the score difference; When the score difference is within the threshold area, the preset influence coefficient corresponding to the highest score is selected to obtain the corresponding packaging material thickness, and the packaging material surface area is obtained based on the part volume; Otherwise, the sharp nodes and characteristic nodes are matched on the surface of the packaging material, the packaging material thickness of the characteristic nodes is set to the original value, the packaging material thickness corresponding to the sharp nodes is obtained according to the influence coefficient corresponding to the puncture score, the difference between the packaging material thickness in the sharp area and the original thickness is obtained, the corresponding number of characteristic nodes adjacent to the sharp nodes on the packaging material are marked as transition nodes, the distance between the transition node and the transition node closest to the sharp node is obtained, and the corresponding packaging material thickness with a negative correlation with the distance is obtained; The parts are packaged according to the surface area and thickness of the primary packaging material.

[0028] Two cases are discussed. When the total volume of the corner protector is within the threshold, the thickness of the corresponding plastic packaging material is obtained by analyzing the different densities and collapse coefficients caused by different materials in the corner protector-covered area and the remaining area. When the volume of the corner protector exceeds the threshold, the corner protector is not considered, and the puncture coefficient of the sharp area is analyzed. The corresponding puncture score difference is obtained according to the puncture coefficient. When the difference is small, the parts are packaged with the corresponding packaging material thickness with the highest puncture coefficient. When the difference is large, the thickness of the packaging material point is determined according to the position of the corresponding part feature point where the matching packaging material is located. In order to avoid the packaging material from breaking, a transition node is set, and the thickness of the transition node becomes lower as the distance from the sharp node increases. The detailed analysis takes into account the cost of the packaging material and improves the safety of the packaging process.

[0029] In certain preferred embodiments, obtaining a packaging part combination under the rule that the shape and volume of the packaging part are not changed and the edge nodes of the overlapping packaging parts are within a threshold value further includes the following steps: scanning a visual image containing the packaging part and identifying the edge node, overlapping multiple visual images of the same edge node and confirming the location of the edge node, and obtaining a packaging part model of the single packaging part in a three-dimensional context; The shape and volume of the packaging parts are obtained based on the packaging part model. After adjusting the angles of a specific preset number of packaging parts according to the edges, they are combined under the rule of not changing the shape and volume of the packaging parts to obtain several groups. The number of overlapping packaging part edge nodes in a single combination is marked. The number of overlapping packaging part edge nodes of adjacent single packaging part models in a single combination must be greater than a set threshold. Obtaining secondary packaging parts after combining the packaging parts, identifying edge nodes of the secondary packaging parts, and obtaining an estimated volume of the secondary packaging parts by defining a closed solid area formed by the edge nodes of the secondary packaging parts; Obtaining data on the proportion of edge nodes that occupy a specific preset number of packaged parts' total edge nodes, fusing the proportion data with the number of overlapping packaged parts' edge nodes to obtain a volume correction coefficient for the secondary packaged parts, and marking the product of the estimated volume of the secondary packaged parts and the volume correction coefficient as the total volume of the secondary packaged parts; The total volume of the voids is obtained according to the difference between the total volume of the second packaging component and the volume of a specific preset number of packaging components.

[0030] In certain preferred embodiments, a cuboid is constructed based on the outermost tangents and a packaging group whose length, width, and height parameters are within a threshold and whose total void volume is the smallest is selected for secondary packaging of the packaging parts. The steps further include: making tangents at different angles to the outer edges of the solid areas ultimately formed by the respective groups, requiring that the tangents do not pass through the solid areas; after selecting a number of tangents, a cuboid is obtained that just includes the outermost tangents; a group of second packaging parts that is within the length, width, and height thresholds of the cuboid is obtained; the group is marked as a candidate group; the candidate groups are sorted by total void volume from low to high; and the second packaging parts corresponding to the group with the lowest total volume are marked as second packaging parts; The volume of the secondary packaging part is obtained, the surface area of ​​the corresponding secondary packaging material is obtained, and the secondary packaging part is packaged after the surface area is obtained.

[0031] When performing secondary packaging on several packaging parts, the overlapping edge nodes are used as the starting point, the errors caused by gaps are taken into account, and the packaging parameters are framed with the long body established by the tangent. This can effectively reduce resource waste and avoid the loosening of packaging parts caused by excessive gaps. It is efficient and accurate.

[0032] See also Figure 2 , using the same inventive concept as the above embodiment, the present application also provides a packaging service system based on the Internet of Things, including: The corner guard confirmation module is used to obtain the error degree based on the angle between the part error nodes and the length of the connection line, obtain the corner guard thickness based on the sharpness of a single sharp node, obtain the corner guard thickness of adjacent sharp nodes based on the reflection angle and the closest distance after laser irradiation, and obtain the corner guard volume based on the shape of the area covered by the corner guard and the thickness of the corner guard; The plastic packaging module is used to compare the corner protection coverage density before and after coverage when the total volume of the required corner protection material is within a threshold value and obtain the corresponding collapse coefficient, and to obtain the surface area of ​​the plastic packaging material by multiplying the collapse coefficient by a correction coefficient based on the proportion of each edge area to the total area; The first packaging module is used to obtain a score difference when the total volume of the required corner protection material exceeds a threshold, and determine different thicknesses of corresponding nodes on the packaging material according to the score difference; The second packaging module is used to obtain the packaging parts combination under the rule that the shape and volume of the packaging parts are not changed and the edge nodes of the overlapping packaging parts are within the threshold. A rectangular parallelepiped is constructed according to the outermost tangent and the packaging group with the length, width and height parameters within the threshold and the smallest total gap volume is selected for secondary packaging of the packaging parts.

[0033] It should be noted that although several units or subunits of the device are mentioned in the detailed description above, this division is merely exemplary and not mandatory. In fact, depending on the embodiment of the application, the features and functions of two or more units described above can be embodied in a single unit. Conversely, the features and functions of a single unit described above can be further divided and embodied by multiple units.

[0034] Based on the same inventive concept as the above-mentioned method embodiment, an electronic device is also provided in an embodiment of the present application, including a memory, a processor, and a computer program stored in the memory and runnable on the processor. When the processor executes the computer program, the electronic device implements the control method in the above-mentioned embodiment.

[0035] In one embodiment, the electronic device may be a server. In this embodiment, the structure of the electronic device may be as follows: Figure 3 As shown, it includes a memory 2001 , a communication module 2003 and one or more processors 2002 .

[0036] Memory 2001 is used to store computer programs executed by processor 2002. Memory 2001 may primarily include a program storage area and a data storage area. The program storage area may store an operating system and programs required for running instant messaging functions, while the data storage area may store various instant messaging messages and operating instruction sets.

[0037] Memory 2001 may be a volatile memory, such as random-access memory (RAM); a non-volatile memory, such as read-only memory, flash memory, a hard disk drive (HDD), or a solid-state drive (SSD); or any other medium capable of carrying or storing a desired computer program in the form of instructions or data structures and accessible by a computer, but is not limited thereto. Memory 2001 may be a combination of the aforementioned memories.

[0038] The processor 2002 may include one or more central processing units (CPUs) or digital processing units, etc. The processor 2002 is configured to implement the above-mentioned audio data processing method when calling the computer program stored in the memory 2001 .

[0039] The communication module 2003 is used to communicate with terminal devices and other servers.

[0040] The specific connection medium between the memory 2001, the communication module 2003 and the processor 2002 is not limited in the embodiment of the present application. Figure 3 In the embodiment, the memory 2001 and the processor 2002 are connected via a bus 2004. The bus 2004 is connected to the processor 2002 via a bus 2004. Figure 3 The arrows in the figure are used to illustrate the connection between the other components. The connection between the components is for illustrative purposes only and is not intended to be limiting. The bus 2004 can be divided into an address bus, a data bus, a control bus, etc. For ease of description, Figure 3 The diagram shows that only one arrow is used, but this does not mean that there is only one bus or one type of bus.

[0041] Based on the same inventive concept as the above-mentioned method embodiment, an embodiment of the present invention further provides a computer-readable storage medium for storing a computer program. When the computer program is executed on a computer, the electronic device implements the control method in the above-mentioned embodiment. The computer-readable storage medium can be a readable signal medium or a readable storage medium. The readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or device, or any combination thereof. More specific examples of readable storage media (a non-exhaustive list) include: an electrical connection with one or more wires, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof.

[0042] Based on the same inventive concept as the above-mentioned method embodiment, an embodiment of the present invention further provides a computer program product, which includes a computer program. When the program product is run on an electronic device, the computer program is used to enable the electronic device to execute the steps of the control method according to the various exemplary embodiments of the present application described above in this specification. The program product can adopt any combination of one or more readable media. These computer program commands can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to produce a machine, so that the commands executed by the processor of the computer or other programmable data processing device generate commands for implementing the steps in the process Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0043] Although preferred embodiments of the present application have been described, those skilled in the art may make additional changes and modifications to these embodiments once they become aware of the basic creative concepts. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present application. It should be noted that, in this article, relational terms such as first and second, etc. are merely used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply the existence of any such actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article, or device comprising 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.

[0044] Finally, it should be noted that the above are merely preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art will be able to modify the technical solutions described in the aforementioned embodiments or substitute equivalents for some of the technical features. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention shall be included within the scope of protection of the present invention.

Claims

1. A packaging service method based on the Internet of Things, characterized by: The method comprises the following steps: The error degree is obtained based on the angle between the error nodes of the parts and the length of the connection line. The thickness of the corner guard is obtained based on the sharpness of a single sharp node. After laser irradiation, the thickness of the corner guard of adjacent sharp nodes is obtained based on the reflection angle and the closest distance. The volume of the corner guard is obtained based on the shape of the area covered by the corner guard and the thickness of the corner guard. When the total volume of the required corner protection material is within the threshold, the corner protection coverage density value before and after the corner protection is compared and the corresponding collapse coefficient is obtained. The surface area of ​​the plastic encapsulation material is obtained by multiplying the collapse coefficient and the correction coefficient based on the proportion of each edge area to the total area. When the total volume of the required corner protection material exceeds a threshold, a score difference is obtained, and the thickness of the corresponding nodes on the packaging material is determined according to the score difference; The combination of packaging parts is obtained under the rule that the shape and volume of the packaging parts are not changed and the edge nodes of the overlapping packaging parts are within the threshold. A cuboid is constructed according to the outermost tangent, and the packaging group with the length, width and height parameters within the threshold and the smallest total gap volume is selected for secondary packaging of the packaging parts.

2. The packaging service method based on the Internet of Things according to claim 1, characterized in that: Obtaining the error degree according to the angle between the part error nodes and the length of the connection line includes: Obtaining multi-angle visual images of the part, identifying characteristic nodes of the part after scanning the visual images, and obtaining a three-dimensional model of the part after connecting the characteristic nodes, wherein the three-dimensional model of the part is a closed solid area formed by combining a plurality of characteristic nodes; Comparing the three-dimensional model of the part with a preset model of the system, marking feature nodes with a similarity lower than a set threshold as error nodes, and marking a number of adjacent error nodes as a group of error regions; Obtain a line connecting the single error node and any remaining error nodes in the error region, obtain the angle between the line and the vertical direction, and obtain a first error degree according to a first preset relationship between the angle and the error degree. , obtain the connection length, and obtain the second error degree according to the second preset relationship between the connection length and the error degree , the angle of a single error point and the length of the corresponding connection line are marked as a set of error data, and the error coefficient is obtained according to the preset relationship between the single set of error data and the error degree; Calculate the error degree of several groups of error data of a single error node according to the formula , is the error coefficient corresponding to a single set of error data, is the weight of the error corresponding to the angle, is the weight of the error corresponding to the connection length.

3. The packaging service method based on the Internet of Things according to claim 1, characterized in that: The method of obtaining the thickness of the corner guard according to the sharpness of a single sharp node, obtaining the thickness of the corner guard of adjacent sharp nodes according to the reflection angle and the closest distance after laser irradiation, and obtaining the volume of the corner guard according to the shape of the area covered by the corner guard and the thickness of the corner guard includes: Obtaining the unobstructed total distance between the error node and any part edge feature node, and marking the error point whose total distance to the edge feature node is within a threshold as a sharp node; Mark the closed area formed by adjacent sharp nodes as a sharp area, obtain the average error of the same sharp area, obtain the difference between a single sharp node and the average error and the error of the node closest to the sharp node, set weights for the two differences respectively, and obtain the influence coefficient of the error difference on the sharpness. According to the product of the error of each point and the total distance, the correction coefficient of the total distance on the sharpness is obtained. The sharpness is the product of the influence coefficient and the correction coefficient. According to the preset relationship between the sharpness and the thickness of the corner guard, the thickness of the corner guard covering the point is obtained. Visible light is used to illuminate the sharp area of ​​the three-dimensional model of the part and the part area adjacent to the sharp area. When the reflection angle of the refracted ray emitted from the part area is within the same threshold as that of the sharp area, the characteristic node where the ray is emitted from the part area is marked as an adjacent sharp node. The sharp node and the adjacent sharp node are covered with traceless glue. Weights are set for the reflection angle of the adjacent sharp node and the distance from the nearest sharp node to obtain the corner protection thickness of the adjacent sharp node; The shape and thickness of the corner guard covering a single sharp node or adjacent sharp nodes are obtained according to the three-dimensional model of the part, and the total volume of the corner guards in several sharp areas is obtained.

4. The packaging service method based on the Internet of Things according to claim 1, characterized in that: When the total volume of the required corner protection material is within the threshold, the corner protection coverage density value is obtained by comparing the values ​​before and after the corner protection is covered and the corresponding collapse coefficient is obtained, and the surface area of ​​the plastic encapsulation material is obtained by multiplying the collapse coefficient by a correction coefficient based on the ratio of each edge area to the total area, including: When the proportion of the total volume of the corner protectors to the volume of the part does not exceed a set threshold, the traceless glue is adsorbed to form a new first part volume; Compare the materials of the corner protection covered area with those when not covered by the corner protection, retrieve the density value of the original area material, and obtain the corner protection coverage density value according to the ratio of the volume of the original area material to the volume of the corner protection area according to the system preset relationship, and obtain the collapse coefficient corresponding to the corner protection area according to the density value; Obtain the remaining edge nodes of the part excluding the area covered by the corner guard, identify the material type of the remaining edge nodes and obtain the material density value, mark the area composed of adjacent edge nodes of the same material as a material area, and obtain the collapse coefficient corresponding to the material area based on the material density value; The ratio of the corner protection coverage area and the edge nodes of each material area to the total number of part edge nodes is obtained respectively, different weights are set for each ratio value, and a correction coefficient for the first part volume is obtained. The product of the first part volume, the collapse coefficient and the correction coefficient is obtained and marked as the second part volume. The surface area of ​​the plastic packaging material is obtained according to the second part volume.

5. The packaging service method based on the Internet of Things according to claim 1, characterized in that: When the total volume of the required corner protection material exceeds a threshold, a score difference is obtained, and different thicknesses of corresponding nodes on the packaging material are determined according to the score difference, including: Obtaining a ratio of the total volume of the corner protector to the volume of the part; selecting a first packaging material for packaging when the ratio exceeds a set threshold; obtaining the sharpness of the sharp node; and obtaining a corresponding puncture coefficient based on a preset relationship between the sharpness and the puncture coefficient; Obtaining the sum of the puncture coefficients of all sharp nodes in a single sharp region, marking the ratio of the sum to the number of sharp nodes as the puncture score in the single sharp region, establishing a discrete model based on the puncture scores of several sharp regions, and marking the variance of the discrete model as the score difference; When the score difference is within the threshold area, the preset influence coefficient corresponding to the highest score is selected to obtain the corresponding packaging material thickness, and the packaging material surface area is obtained based on the part volume; Otherwise, the sharp nodes and characteristic nodes are matched on the surface of the packaging material, the packaging material thickness of the characteristic node is set to the original value, the packaging material thickness corresponding to the sharp node is obtained according to the influence coefficient corresponding to the puncture score, the difference between the packaging material thickness in the sharp area and the original thickness is obtained, a corresponding number of characteristic nodes adjacent to the sharp node on the packaging material are marked as transition nodes, the distance between the transition node and the transition node closest to the sharp node is obtained, and the corresponding packaging material thickness that has a negative correlation with the distance is obtained; The parts are packaged according to the surface area and thickness of the first packaging material.

6. The packaging service method based on the Internet of Things according to claim 1, characterized in that: The obtaining of the packaging parts combination under the rule that the shape and volume of the packaging parts are not changed and the edge nodes of the overlapping packaging parts are within a threshold value includes: After scanning the visual image where the packaging part is located, the edge nodes are identified. After overlapping the same edge node in multiple visual images, the location of the edge node is confirmed to obtain the packaging part model of the single packaging part in a three-dimensional context. The shape and volume of the packaging parts are obtained based on the packaging part model. After adjusting the angles of a specific preset number of packaging parts according to their edges, the packaging parts are combined under the rule that the shapes and volumes of the packaging parts are not changed to obtain a plurality of groups. The number of overlapping packaging part edge nodes in a single combination is marked, and the number of overlapping packaging part edge nodes of adjacent single packaging part models in a single combination must be greater than a set threshold. Acquire a secondary packaging part after combining the packaging parts, identify edge nodes of the secondary packaging part, and obtain an estimated volume of the secondary packaging part by defining a closed solid area formed by the edge nodes; Obtaining data on the proportion of the edge node to the total number of edge nodes of the specific preset number of packaging parts, fusing the data on the proportion with the number of edge nodes of overlapping packaging parts to obtain a volume correction coefficient for the secondary packaging parts, and marking the product of the estimated volume of the secondary packaging parts and the volume correction coefficient as the total volume of the second packaging parts; The total volume of the voids is obtained according to the difference between the total volume of the second packaging component and the volume of a specific preset number of packaging components.

7. The packaging service method based on the Internet of Things according to claim 1, characterized in that: The method of constructing a cuboid according to the outermost tangent line and selecting a packaging group whose length, width and height parameters are within a threshold and whose total gap volume is the smallest to perform secondary packaging on the packaging parts includes: Tangent lines of varying angles are drawn on the outer edges of the solid areas ultimately formed by each group, requiring that the tangent lines must not pass through the solid area. After selecting a number of tangent lines, a cuboid is obtained that just contains the outermost tangent line. Groups of second-packaged parts that fall within the length, width, and height thresholds of the cuboid are identified. These groups are marked as candidate groups. The candidate groups are sorted by total void volume from lowest to highest, and the second-packaged parts corresponding to the group with the lowest total volume are marked as secondary packaging parts. The volume of the secondary packaging component is obtained, the surface area of ​​the corresponding secondary packaging material is obtained, and the secondary packaging component is packaged after the surface area is obtained.

8. A packaging service system based on the Internet of Things, characterized by: The system comprises: The corner guard confirmation module is used to obtain the error degree based on the angle between the part error nodes and the length of the connection line, obtain the corner guard thickness based on the sharpness of a single sharp node, obtain the corner guard thickness of adjacent sharp nodes based on the reflection angle and the closest distance after laser irradiation, and obtain the corner guard volume based on the shape of the area covered by the corner guard and the thickness of the corner guard; The plastic packaging module is used to compare the corner protection coverage density before and after coverage when the total volume of the required corner protection material is within a threshold value and obtain the corresponding collapse coefficient, and to obtain the surface area of ​​the plastic packaging material by multiplying the collapse coefficient by a correction coefficient based on the proportion of each edge area to the total area; The first packaging module is used to obtain a score difference when the total volume of the required corner protection material exceeds a threshold, and determine different thicknesses of corresponding nodes on the packaging material according to the score difference; The second packaging module is used to obtain the packaging parts combination under the rule that the shape and volume of the packaging parts are not changed and the edge nodes of the overlapping packaging parts are within the threshold. A rectangular parallelepiped is constructed according to the outermost tangent and the packaging group with the length, width and height parameters within the threshold and the smallest total gap volume is selected for secondary packaging of the packaging parts.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the electronic device implements the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium is used to store a computer program, and when the computer program is run on a computer, the computer is caused to perform the method according to any one of claims 1 to 7.

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