CN116956527A - Material processing information processing method, device, equipment and storage medium - Google Patents
Material processing information processing method, device, equipment and storage medium Download PDFInfo
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- 238000012545 processing Methods 0.000 title claims abstract description 259
- 239000000463 material Substances 0.000 title claims abstract description 136
- 230000010365 information processing Effects 0.000 title claims abstract description 29
- 238000003672 processing method Methods 0.000 title claims abstract description 21
- 238000003860 storage Methods 0.000 title claims abstract description 8
- 238000001228 spectrum Methods 0.000 claims abstract description 22
- 238000005516 engineering process Methods 0.000 claims abstract description 21
- 238000004458 analytical method Methods 0.000 claims description 29
- 238000000034 method Methods 0.000 claims description 25
- 238000013075 data extraction Methods 0.000 claims description 16
- 238000004891 communication Methods 0.000 claims description 13
- 238000004590 computer program Methods 0.000 claims description 7
- XAGFODPZIPBFFR-UHFFFAOYSA-N aluminium Chemical compound [Al] XAGFODPZIPBFFR-UHFFFAOYSA-N 0.000 abstract description 37
- 229910052782 aluminium Inorganic materials 0.000 abstract description 37
- 238000005520 cutting process Methods 0.000 description 13
- 238000003754 machining Methods 0.000 description 9
- 239000000284 extract Substances 0.000 description 7
- 238000000605 extraction Methods 0.000 description 6
- 230000008569 process Effects 0.000 description 6
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- 238000010586 diagram Methods 0.000 description 4
- 230000009471 action Effects 0.000 description 3
- 238000001514 detection method Methods 0.000 description 3
- 238000005553 drilling Methods 0.000 description 3
- 238000004519 manufacturing process Methods 0.000 description 3
- 238000011144 upstream manufacturing Methods 0.000 description 3
- 238000004364 calculation method Methods 0.000 description 2
- 238000011960 computer-aided design Methods 0.000 description 2
- 230000002159 abnormal effect Effects 0.000 description 1
- AZDRQVAHHNSJOQ-UHFFFAOYSA-N alumane Chemical group [AlH3] AZDRQVAHHNSJOQ-UHFFFAOYSA-N 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004422 calculation algorithm Methods 0.000 description 1
- 238000012790 confirmation Methods 0.000 description 1
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- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000000379 polymerizing effect Effects 0.000 description 1
- 238000004080 punching Methods 0.000 description 1
- 238000009877 rendering Methods 0.000 description 1
- 239000013077 target material Substances 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Abstract
The application relates to a material processing information processing method, a device, equipment and a storage medium, and relates to the technical field of material processing, wherein the material processing information processing method comprises the following steps: obtaining target model file information corresponding to a material to be processed, extracting data according to the target model file information to obtain characteristic data of a target model, carrying out matching processing on the material to be processed based on the characteristic data to obtain characteristic spectrum information of the target model, and determining processing characteristic information corresponding to the material to be processed according to the characteristic spectrum information, thereby solving the problem caused by the fact that the existing aluminum profile processing technology needs to manually calibrate a switching angle according to a BOM table, and improving processing efficiency.
Description
Technical Field
The present application relates to the field of material processing technologies, and in particular, to a material processing information processing method, a device, an electronic apparatus, and a storage medium.
Background
In the technical field of material processing, aluminum profile processing, such as punching, cutting and the like, is generally required to produce aluminum parts.
When the aluminum profile is cut, the cutting angle needs to be calibrated to determine whether the cutting angle of the aluminum profile is accurate and whether the cutting length is within an error range. The existing aluminum profile processing method mainly utilizes a processed Bill of materials (Bom) table provided by an upstream enterprise to manually convert original Bom information provided by the Bom table into an aluminum profile processing flow during processing. However, in some cases, the Bom form provided by the upstream enterprise does not meet the processing requirements of the aluminum profile processing equipment, so that the original Bom information in the Bom form cannot be directly converted into the aluminum profile processing flow, repeated confirmation is required by a processing technician, and even when the upstream enterprise does not provide the original Bom form, a designer is required to redraw the Bom form, so that whether the situation of lack of the processing flow or interference in processing exists is checked based on the redrawn Bom form. These manual calibration steps are very frequent and time-consuming, greatly affecting the processing efficiency and quality of the aluminum profile.
Disclosure of Invention
In order to solve the technical problems described above or at least partially solve the technical problems described above, the present application provides a material processing information processing method, a device, an electronic apparatus, and a storage medium.
In a first aspect, the present application provides a material processing information processing method, which is characterized by comprising:
acquiring target model file information corresponding to a material to be processed;
extracting data according to the target model file information to obtain characteristic data of a target model;
carrying out matching treatment on the material to be processed based on the characteristic data to obtain characteristic spectrum information of the target model;
and determining processing characteristic information corresponding to the material to be processed according to the characteristic map information.
Optionally, the extracting data according to the target model file information to obtain feature data of the target model includes:
extracting target surface parameter information from the target model file information;
determining key data information based on the target surface parameter information;
and carrying out feature analysis based on the key data information to obtain feature data of the target model.
Optionally, the determining key data information based on the target surface parameter information includes:
if the target plane parameter information contains plane parameter information, extracting plane normal data and plane point data in the plane parameter information, and determining the plane normal data and the plane point data as plane key data information;
And if the target surface parameter information comprises non-planar parameter information, extracting central axis data and radius data in the non-planar parameter information, and determining the central axis data and the radius data as non-planar key data information.
Optionally, the performing feature analysis based on the key data information to obtain feature data of the target model includes:
when the key data information is plane key data information, extracting control point information from the plane key data information;
determining plane position information based on the control point information;
if the plane position information is coplanar position information, carrying out feature recognition processing based on the coplanar position information to obtain coplanar feature data;
if the plane position information is intersecting position information, performing feature recognition processing based on the intersecting position information to obtain adjacent plane feature data;
and if the plane position information is the section position information, performing feature recognition processing based on the section position information to obtain auxiliary surface feature data.
Optionally, the performing feature analysis based on the key data information to obtain feature data of the target model includes:
When the key data information is non-planar key data information, performing geometric analysis on the non-planar key data information to obtain curvature information;
and carrying out feature recognition processing based on the curvature information to obtain coaxial feature data.
Optionally, the matching processing is performed on the material to be processed based on the feature data to obtain feature spectrum information of the target model, including:
determining characteristic parameter information corresponding to the target model according to the characteristic data, wherein the characteristic parameter information comprises angle characteristic parameter information, convex-concave characteristic parameter information and basic type parameter information;
generating data structure information based on the angle characteristic parameter information, the convex-concave characteristic parameter information and the basic type parameter information;
and carrying out matching treatment on the material to be processed based on the data structure information to obtain the characteristic spectrum information.
Optionally, the method further comprises: processing the material to be processed according to the processing characteristic information to obtain the target model;
wherein, according to the characteristic map information, determining processing characteristic information corresponding to the material to be processed includes: determining processing characteristic parameter information and processing characteristic map information based on the characteristic map information; calculating according to the processing characteristic parameter information to obtain processing technology information and processing time information corresponding to the material to be processed; and determining the processing characteristic information based on the processing characteristic map information, the processing technology information and the processing time information.
In a second aspect, the present application provides a material processing information processing apparatus comprising:
the acquisition module is used for acquiring target model file information corresponding to the material to be processed;
the data extraction module is used for carrying out data extraction according to the target model file information to obtain characteristic data of a target model;
the matching module is used for carrying out matching treatment on the material to be processed based on the characteristic data to obtain the characteristic spectrum information of the target model;
and the processing characteristic information determining module is used for determining processing characteristic information corresponding to the material to be processed according to the characteristic map information.
In a third aspect, the present application provides a material processing apparatus comprising a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other via the communication bus;
a memory for storing a computer program;
a processor for implementing the steps of the material processing information processing method according to any one of the embodiments of the first aspect when executing the program stored on the memory.
In a fourth aspect, the present application provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the material processing information processing method according to any one of the embodiments of the first aspect.
In summary, the method and the device for processing the aluminum profile by using the aluminum profile have the advantages that the target model file information corresponding to the material to be processed is obtained, the data extraction is carried out according to the target model file information, the characteristic data of the target model is obtained, the matching processing is carried out on the material to be processed based on the characteristic data, the characteristic spectrum information of the target model is obtained, and the processing characteristic information corresponding to the material to be processed is determined according to the characteristic spectrum information, so that the material processing equipment can directly carry out characteristic analysis on the model format file, the dependence on a BOM table is eliminated, the full-automatic material processing is realized, the problem caused by the fact that the existing aluminum profile processing technology needs to manually switch angle calibration according to the BOM table is solved, the processing efficiency is improved, the error rate is reduced while the labor is saved, and a more efficient production mode is provided for aluminum profile parts.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and together with the description, serve to explain the principles of the application.
In order to more clearly illustrate the embodiments of the application or the technical solutions of the prior art, the drawings which are used in the description of the embodiments or the prior art will be briefly described, and it will be obvious to a person skilled in the art that other drawings can be obtained from these drawings without inventive effort.
FIG. 1 is a flow chart of steps of a method for processing material processing information according to an embodiment of the present application;
FIG. 2 is an attribute adjacency graph and extended attribute adjacency graph intent provided by the present application;
FIG. 3 is a flow chart illustrating steps of a method for processing material processing information according to an alternative embodiment of the present application;
FIG. 4 is a schematic view of the intersection of U-profiles provided by the present application;
FIG. 5 is a schematic illustration of adding an auxiliary surface to a material to be processed according to the present application;
FIG. 6 is a coaxial cylindrical view provided by the present application;
FIG. 7 is a diagram showing a data structure information matching scheme provided by the present application;
FIG. 8 shows a material processing information processing flow chart provided by the present application;
FIG. 9 is a block diagram showing a material processing information processing apparatus according to an embodiment of the present application;
fig. 10 is a schematic structural diagram of a material processing apparatus according to an embodiment of the present application.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more apparent, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments of the present application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
For the purpose of facilitating an understanding of the embodiments of the present application, reference will now be made to the drawings and specific examples, which are not intended to limit the embodiments of the application.
Referring to fig. 1, a schematic step flow diagram of a material processing information processing method provided by the embodiment of the present application is shown, in actual processing, the material processing information processing method provided by the embodiment of the present application may be applied to processing an aluminum profile, an aluminum profile model obtained by processing an aluminum profile may be, for example, a furniture model, and the material processing information processing method may specifically include the following steps:
step 110, obtaining target model file information corresponding to the material to be processed.
Specifically, the material to be processed may be a material to be processed, for example, the material to be processed may include a processed material such as an aluminum profile to be processed, which is not particularly limited in the embodiment of the present application. The target model file information may be a three-dimensional format file containing a target model corresponding to the material to be processed, where the target model may be a model corresponding to the target material obtained after the material to be processed is processed. Specifically, after the material to be processed is determined, the embodiment of the application can acquire the target model file information corresponding to the material to be processed. For example, in the case where it is determined that the material to be processed is an aluminum profile, target model file information corresponding to the aluminum profile may be acquired, and the target model file information may be a three-dimensional format file in STP format or IGES format, which is not particularly limited in this example.
And 120, extracting data according to the target model file information to obtain the characteristic data of the target model.
Specifically, feature data corresponding to the material to be processed may be extracted from the target model file information to serve as feature data of the target model, where the feature data may include coplanar feature data, coaxial feature data, adjacent surface feature data, auxiliary surface feature data, and the embodiment of the present application is not limited in particular.
For example, feature analysis may be performed on a three-dimensional file in STP or IGES format, and processing features corresponding to the aluminum profile may be identified, where the processing features may include, but are not limited to, planar processing features and cylindrical processing features, where the planar processing features may be processing features formed by electric saw cutting or milling of the aluminum profile, and the cylindrical processing features may be processing features formed by drilling, grooving, and the like, where the present example is not limited to this specific example. After the processing characteristics corresponding to the aluminum profile are identified, data extraction can be performed based on the identified processing characteristics, so that characteristic data of the target model are obtained. Specifically, in the case that the machined feature is a planar machined feature, the feature data may include coplanar feature data, adjacent surface feature data, and auxiliary surface feature data, where the data extraction of the coplanar feature data may be to aggregate surfaces belonging to the same plane together, thereby determining coplanar feature data, where the surfaces belonging to the same plane may represent, in a machined form, the same machined surface cut by the electric saw; the data extraction of the adjacent surface feature data can be performed by extracting milling features which are collinear in the processing direction, and sub-feature identification can be performed at the intersection of two planes to form nested features, and then the nested features are processed to determine the adjacent surface feature data; the data extraction of the auxiliary surface characteristic data may be to identify a surface which is not coplanar with other planes, and since the surface which is not coplanar with other planes may generate a cut surface at the time of actual processing, an effective cut may be achieved by manually assisting in adding a cut plane, and the added cut plane may be used as the auxiliary surface characteristic data. In the case where the machining feature is a cylindrical machining feature, the feature data may contain coaxial feature data, wherein the coaxial feature data may be extracted by grouping together cylindrical surfaces belonging to the same axis, which appear as drilling features in the machining form.
And 130, carrying out matching processing on the material to be processed based on the characteristic data to obtain the characteristic spectrum information of the target model.
Specifically, after determining the feature data, the embodiment of the present application may perform matching processing on the material to be processed based on the feature data to obtain feature spectrum information of the target model, where the feature spectrum information may include an attribute adjacency graph, an extended attribute adjacency graph (Extended Attributed Adjacent Graphic, EAAG), an Edge Face (EF) spectrum, and the like, and the embodiment of the present application is not limited in this way.
For example, feature parameter information corresponding to the feature data may be determined based on the feature data, and matching processing may be performed on the material to be processed based on the obtained feature parameter information, for example, a portion corresponding to the feature parameter information may be searched for in the aluminum profile to be processed, a position corresponding to the feature parameter information in the material to be processed may be determined, and the like. If the characteristic parameter information includes parameter information such as an angle of an adjacent surface of a certain surface to the corresponding surface, an inside and outside of the surface, and a basic type of the surface, the position of the adjacent surface of the certain surface to the corresponding surface in the material to be processed may be determined, and an attribute adjacency graph may be generated. Referring to the attribute adjacency graph in fig. 2, each node in the attribute adjacency graph may be represented as a surface, such as node 1 to node 9, and feature parameter information such as angles between the surface and the adjacency surface, inside and outside of the surface, basic types of the surface, and the like may be stored in each surface, edges between the nodes are actual physical edges, and feature parameter information such as convexity, basic types, and the like of the edges is stored, so that processing feature information may be determined based on the feature parameter information contained in the attribute adjacency graph, and further processing technology, processing time, and the like corresponding to each surface may be calculated based on the processing feature information.
Further, for the characteristic parameter information such as the self-defined hole and the groove contained in each surface of the attribute adjacency graph, the portion corresponding to the characteristic parameter information can be searched and searched in the material to be processed, for example, in the case that the characteristic parameter information contains the simple processing characteristic parameters such as the self-defined hole or the groove, the corresponding position of the self-defined hole or the groove in the aluminum profile to be processed can be determined, and further the extended attribute adjacency graph is generated. Referring to the extended attribute adjacency graph in fig. 2, each node in the extended attribute adjacency graph may also be represented as a surface, such as node 1, node 4 to node 9, where each node in the extended attribute adjacency graph may have a corresponding node in the attribute adjacency graph, and each node in the extended attribute adjacency graph may store feature parameter information such as a custom hole and a slot contained in the surface, so that the processing feature information may be determined based on the feature parameter information contained in the EAAG graph, and further processing technologies and processing times corresponding to features such as custom holes and slots in each surface may be calculated based on the processing feature information.
Further, when the characteristic parameter information includes parameter information such as a blind hole or a special-shaped groove, the corresponding position of the hole or the groove in the aluminum profile to be processed may be determined, so as to generate an EF map, and the characteristic parameter information of each blind hole or the special-shaped groove may be stored in the EF map, so that the characteristic parameter information included in the EF map may be determined, the processing characteristic information may be determined, and the processing technology and the processing time corresponding to each blind hole or the special-shaped groove may be calculated based on the processing characteristic information.
And 140, determining processing characteristic information corresponding to the material to be processed according to the characteristic map information.
Specifically, the processing characteristic information may be used to determine information such as a processing process and a processing time corresponding to the material to be processed, which is not particularly limited in the embodiment of the present application. For example, the processing technology information and the processing time information can be obtained by performing calculation processing according to the processing characteristic information, and then the material to be processed can be processed based on the processing technology information and the processing time information, for example, the processing such as electric saw cutting processing, profile milling processing, drilling and grooving and the like can be performed on the aluminum profile, so that a target model corresponding to the aluminum profile can be obtained.
In a specific implementation, after the processing characteristic information is determined, the generated processing characteristic information can be input into a numerical control system, and an automatic processing link of the material to be processed is realized through the numerical control system, so that the labor cost is saved, the processing flow is simplified, and the processing efficiency is improved.
Therefore, according to the embodiment of the application, the characteristic data of the target model is obtained by acquiring the target model file information corresponding to the material to be processed, carrying out data extraction according to the target model file information, carrying out matching processing on the material to be processed based on the characteristic data to obtain the characteristic spectrum information of the target model, and determining the processing characteristic information corresponding to the material to be processed according to the characteristic spectrum information, so that the material processing equipment can directly carry out characteristic analysis on the model format file, the dependence on a BOM table is eliminated, the problem caused by the fact that the existing aluminum profile processing technology needs to manually carry out switching angle calibration according to the BOM table is solved, and the processing efficiency is improved.
Referring to fig. 3, a schematic flow chart of steps of a material processing information processing method according to an alternative embodiment of the present application is shown. The method may specifically comprise the steps of:
step 310, obtaining target model file information corresponding to the material to be processed.
In a specific implementation, a three-dimensional format file in an IGES or STP format containing target model information can be used as a target model file corresponding to the target model file information, characteristic analysis is performed on the IGES or STP format, processing characteristics of the aluminum profile are identified, and accurate positioning is provided for aluminum profile processing.
In actual processing, the embodiment of the application can perform real-time 3D rendering on the target model file through an Open source geometry modeling engine (Open CASCADE, OCC), provide accuracy for subsequent feature analysis on the target model file information, and ensure that the target model file information is obtained.
And step 320, extracting target surface parameter information from the target model file information.
Specifically, after determining the information of the target model file corresponding to the material to be processed, the embodiment of the application can extract the target surface parameter information from the target model file, wherein the target surface parameter information can comprise plane parameter information and non-plane parameter information. Specifically, each plane and non-plane in the target model file information can be identified, so that the identified plane and non-plane are used as target planes, so that plane parameter information can be obtained by fitting plane characteristics, non-plane parameter information can be obtained by fitting non-plane characteristics, and then the plane parameter information and the non-plane parameter information can be determined as target plane parameter information.
As an example of the present application, when the object model file corresponding to the object model file information is an STP format file, control point information may be extracted from the STP format file, and further whether the identified object plane is a plane may be determined based on the control point information. Specifically, after the control point information is extracted from the STP format file, whether the control points included in the control point information are on the same target surface may be determined based on the extracted control point information, and if the control points included in the control point information are on the same target surface, the target surface may be determined to be a plane, and further the plane parameter information may be determined.
It should be noted that, in the embodiment of the present application, the non-plane may be a cylindrical surface, for example, may be a hole or a slot, and the non-plane parameter information may be cylindrical surface parameter information, which is not particularly limited in the embodiment of the present application.
And step 330, determining key data information based on the target surface parameter information.
Specifically, after the target surface parameter information is determined, the embodiment of the application can extract the key data corresponding to the target surface from the target surface parameter information to serve as the key data information. For example, when the target plane parameter information is plane parameter information, the plane key data may be extracted from the plane parameter information, for example, plane key data information such as a normal direction of the plane and a point where the plane is located may be extracted from the plane parameter information, and when the target plane parameter information is non-plane parameter information, the non-plane key data may be extracted from the non-plane parameter information, for example, non-plane key data information such as a central axis, a radius, and a parameter range may be extracted from the non-plane parameter information.
In a specific implementation, the object plane extracted from the object model file may be classified by using an analytical class implementation, for example, the object plane may be classified by analyzing the class as follows:
enum GroupType
{
G_MODEFINE＝1；
G_SamePlane,
G_DirCylinder,
G_Cylinder_concentric,
G_Cylinder_Same,
G_Adjacent
g_samepalane may be a Group of faces that are grouped together to form a Group; G_DirCylinder can be formed by polymerizing cylindrical surfaces in the same direction together to form a Group; G_Cylinder_center can be a Group formed by grouping cylindrical surfaces belonging to the same axis together; G_Cylinder_Same can be formed by converging coplanar cylindrical surfaces together to form a Gropu; the g_adjacent may be that Adjacent surfaces are aggregated together to form a Group, and after classifying the target surfaces, feature extraction can be conveniently and quickly performed on each combined target surface in subsequent processing.
Further, optionally, in the embodiment of the present application, the determining key data information based on the target plane parameter information may specifically include the following substeps:
in the substep 3301, if the target plane parameter information includes plane parameter information, plane normal data and plane point data in the plane parameter information are extracted, and the plane normal data and the plane point data are determined as plane key data information.
Specifically, in the case that it is determined that the target plane parameter information includes plane parameter information, the embodiment of the present application may extract plane normal data and plane point data from the plane parameter information, so that plane direction data and plane point data may be determined as plane key data information, where the plane normal data may be used to determine a plane trend, whether a plane is coplanar with other planes, and the like, and the plane point data may be used to determine a plane size, a plane position, and the like.
Sub-step 3302, extracting central axis data and radius data in the non-planar parameter information, and determining the central axis data and the radius data as non-planar key data information if the target surface parameter information contains non-planar parameter information.
Specifically, in the case that the target surface parameter information is determined to include non-planar parameter information, the embodiment of the application can extract central axis data and radius data from the non-planar parameter information, so that the central axis data and the radius data can be determined to be non-planar key data information, wherein the central axis data can be used for determining positions of a plurality of non-planar surfaces, and the radius data can be used for determining corresponding sizes of the non-planar surfaces and the like.
For example, where the non-planar surface is a cylindrical surface and the cylindrical surface is a hole, the central axis data may be used to determine the position of the cylindrical surface and the radius data may be used to determine the size of each hole.
And step 340, performing feature analysis based on the key data information to obtain feature data of the target model.
Optionally, the performing feature analysis according to the embodiment of the present application based on the key data information may specifically include the following substeps:
sub-step 3401 extracts control point information from the plane critical data information when the critical data information is the plane critical data information.
Specifically, in the case where the critical data information is plane critical data information, the embodiment of the present application may extract control point information from the plane critical data information, so that plane location information may be determined based on the control point information in the subsequent processing, that is, sub-step 3402 is performed.
Sub-step 3402, determining plane location information based on the control point information.
And sub-step 3403, if the plane position information is coplanar position information, performing feature recognition processing based on the coplanar position information to obtain coplanar feature data.
And sub-step 3404, if the plane position information is the intersection position information, performing feature recognition processing based on the intersection position information to obtain adjacent surface feature data.
And sub-step 3405, if the plane position information is section position information, performing feature recognition processing based on the section position information to obtain auxiliary surface feature data.
Specifically, the plane position information may include coplanar position information, intersecting position information, and section position information, which is not particularly limited in the embodiment of the present application. Specifically, after the plane position information is determined based on the control point information, the embodiment of the application can determine whether the plane position information is coplanar position information, intersecting position information or adjacent plane position information based on the plane position information. If the plane position information is the coplanar position information, carrying out feature recognition processing based on the coplanar position information to obtain coplanar feature data; if the plane position information is the intersecting position information, performing feature recognition processing based on the intersecting position information to obtain adjacent plane feature data; if the plane position information is the section position information, the feature recognition processing can be performed based on the section position information to obtain the auxiliary surface feature data.
For example, when the plane position information is the coplanar position information, it may be determined whether or not the plurality of planes are mathematically identical based on the coplanar position information, and if it is determined that the plurality of planes are mathematically identical, it may be determined that the plurality of planes are coplanar, and thus the coplanar feature data may be determined. Further, after determining that the plurality of coplanar planes are coplanar, it may be further determined whether the plurality of coplanar planes are connected into a single area, and if the plurality of coplanar planes are connected into a single area, the plurality of coplanar planes may be directly cut by an electric saw in actual processing, so as to shorten processing time. Further, during the actual machining, there may be a certain plane contour which is not closed during the machining of the material to be machined by the electric saw cutting, however, the plane contour should be closed in the object model file, and in this case, the closing may be given during the actual machining according to the characteristics of the material to be machined.
In another example, in the case where the plane position information is intersection position information, whether or not two planes intersect may be determined based on the intersection position information, and further, in the case where it is determined that two planes intersect, the position where the two planes intersect may be determined. Referring to fig. 4, the bottom position of the U-shaped surface in fig. 4 is the position where two planes intersect, sub-feature recognition processing may be performed on the intersecting position, the profile milling feature of the intersecting position may be extracted, the angle and the trend of the intersecting position may be determined, so as to form a nested feature, and then the nested feature may be processed to obtain the position information of the adjacent surface.
In another example, when the plane position information is the cross-section position information, it is possible to determine whether or not a broken surface exists during the actual machining based on the cross-section position information, and if it is determined that a broken surface exists during the actual machining, the machining problem can be solved by adding an auxiliary surface, and the added auxiliary surface can be used as the auxiliary surface feature data. Referring to fig. 5, fig. 5 is a schematic view of adding an auxiliary surface to a material to be processed, in the case that an aluminum profile is not processed, the first surface in fig. 5 may be cut first, and then the second surface in fig. 5 may be cut, where a situation that the aluminum profile cannot be effectively cut may occur, and this is because, in modeling, a section formed by cutting the second surface is not coplanar with other planes, so that in an actual processing process, a cut surface may be generated after cutting the second surface in fig. 5, and an effective cutting of the aluminum profile may be achieved by adding an auxiliary surface, as shown by a third surface in fig. 5, which is an added auxiliary surface, and after cutting the second surface, the third surface may be cut, so as to form an effective cutting, and a cut surface may not exist.
Sub-step 3406, when the key data information is non-planar key data information, performing geometric analysis on the non-planar key data information to obtain curvature information.
And a substep 3407, performing feature recognition processing based on the curvature information to obtain coaxial feature data.
Specifically, in the embodiment of the application, under the condition that the key data information contains non-planar key data information, geometric analysis can be performed on the non-planar key data information to obtain curvature information, further feature recognition processing can be performed on the basis of the curvature information, whether a plurality of non-planar surfaces are coaxial or not is judged, and under the condition that the plurality of non-planar surfaces are coaxial, detection processing is performed on the coaxial non-planar surfaces to obtain coaxial feature data.
For example, when the non-planar key data is a cylindrical surface, the extracted radius data of the cylindrical surface is analyzed by combining with differential geometry knowledge to determine the principal curvature corresponding to the cylindrical surface, so that the principal curvature is used as curvature information, further, feature recognition processing can be performed on the combined curvature information and central axis data of the cylindrical surface to determine whether a plurality of cylindrical surfaces are coaxial, and if the plurality of cylindrical surfaces are coaxial, detection processing is performed on the coaxial cylindrical surfaces to obtain coaxial feature data.
As an example of the present application, referring to fig. 6, a coaxial cylindrical view provided by the present application is shown. In practical processing, the following three cases may occur for multi-cylindrical-surface coaxiality: the plurality of cylindrical surfaces on the same layer of plate are coaxial, the large holes are nested with the small holes, the holes of the upper layer of plate are coaxial with the holes of the lower layer of plate, the sizes of the holes are the same, and the holes of the upper layer of plate are coaxial with the holes of the lower layer of plate but the sizes of the holes are different. Wherein, under the condition that a plurality of cylindrical surfaces on the same plate are coaxial and small holes are nested in large holes, the processing form can be represented as large hole nesting small holes on the same layer of plate; the holes of the upper plate and the holes of the lower plate are coaxial and the sizes of the holes are the same, and the holes of the upper plate and the holes of the lower plate are coaxial but the sizes of the holes are different, so that the processing form can be represented as that a plurality of holes among different plates are coaxial. For the situation that the multiple cylindrical surfaces are coaxial, detection arrangement can be performed from the depth direction of the holes to form nesting logic of the hole characteristics, namely, how many holes are coaxial, how the holes are nested, and the like can be determined, so that coaxial characteristic data can be obtained.
And 350, determining characteristic parameter information corresponding to the target model according to the characteristic data.
Wherein the characteristic parameter information comprises angle characteristic parameter information, convex-concave characteristic parameter information and basic type parameter information.
Specifically, the angle characteristic parameter information may include angle information between a certain surface and an adjacent surface corresponding to the surface, internal and external information of the surface, etc., the concave-convex characteristic parameter information may include concavity and convexity of a physical edge between surfaces, etc., and the basic type parameter information may include a characteristic parameter of a cylindrical surface, for example, the characteristic parameter may include size information of a hole or a groove, depth information, a nesting condition, etc.
Step 360, generating data structure information based on the angle characteristic parameter information, the convex-concave characteristic parameter information and the basic type parameter information.
And step 370, performing matching processing on the material to be processed based on the data structure information to obtain the characteristic spectrum information.
Specifically, after the angle characteristic parameter information, the convex-concave characteristic parameter and the basic type parameter information are determined, the embodiment of the application can generate a data result corresponding to each parameter information based on the obtained various parameter information to be used as data structure information, and can further carry out matching processing on the material to be processed based on the data structure information, for example, the embodiment can search and find the corresponding part of the data structure information in the material to be processed, determine the position of the data structure information in the material to be processed, and further obtain the characteristic spectrum information.
For example, in the case where the material to be processed is an aluminum profile, an original model file corresponding to the aluminum profile to be processed may be obtained, after determining the data structure information, the data structure information may be matched with the original model file, and the position of the characteristic parameter information corresponding to the data structure information in the original model file may be determined, for example, the position of a hole or a groove in the material to be processed may be determined, which is shown in fig. 7.
And step 380, determining processing characteristic information corresponding to the material to be processed according to the characteristic map information.
As an example, referring to fig. 8, a material processing information processing flow chart provided by the present application is shown. Specifically, the model file in STP or IGES format corresponding to the material to be processed can be read to classify a single surface included in the model file, and key data extraction is performed, for example, a target surface included in the model file can be classified into a plane and a cylindrical surface, key data extraction is performed on the plane to obtain plane key data, key data extraction is performed on the cylindrical surface to obtain non-plane key data, and the like, then feature analysis and feature extraction can be performed on the extracted plane key data and non-plane key data to obtain feature data, further matching processing can be performed on the material to be processed based on the feature data to obtain a feature map, then processing feature information can be generated based on the feature map, and output, so that feature analysis of the target model file corresponding to the material to be processed is realized to obtain processing feature information, and the material to be processed can be processed based on the processing feature information in subsequent processing to obtain a target model, thereby getting rid of dependence on a BOM table.
In actual processing, after processing characteristic information corresponding to a material to be processed is determined, the processing characteristic information can be embedded into a numerical control system, and the material to be processed is processed through the numerical control system. Optionally, after determining the processing characteristic information corresponding to the material to be processed according to the characteristic map information, the method further includes: and processing the material to be processed according to the processing characteristic information to obtain the target model. Wherein, according to the characteristic map information, determining processing characteristic information corresponding to the material to be processed includes: determining processing characteristic parameter information and processing characteristic map information based on the characteristic map information; calculating according to the processing characteristic parameter information to obtain processing technology information and processing time information corresponding to the material to be processed; and determining the processing characteristic information based on the processing characteristic map information, the processing technology information and the processing time information. Specifically, the processing characteristic parameters may be used to determine the processing process and processing time required when the surface, hole, groove, and the like of the material to be processed are processed, which is not particularly limited in the embodiment of the present application, and the processing characteristic map information may be an EF map including the characteristics of the blind hole, the abnormal groove, and the like, and the embodiment of the present application is not particularly limited in comparison. After the characteristic map information is obtained, the processing characteristic parameters and the processing characteristic map information can be extracted from the characteristic map information, calculation is carried out according to the processing characteristic parameters to obtain processing technology information and processing time information, for example, when the plane processing is carried out on the aluminum profile according to the plane processing characteristic parameters contained in the processing characteristic parameters, the processing technology (such as electric saw cutting plane or milling contour processing) required by the plane processing, the processing time required by the plane processing and the like are determined, then the processing characteristic information can be determined based on the processing characteristic map information, the processing technology information and the processing time information, the processing characteristic information can be embedded into a numerical control system, automatic processing of a material to be processed is realized through the numerical control system, an automatic processing link from computer aided design (Computer Aided Design, CAD) to computer aided manufacturing (Computer Aided Manufacturing, CAM) is realized, the labor cost is saved, the processing efficiency is improved, the error rate is reduced, and an algorithm foundation is provided for the full-automatic material processing.
In summary, the embodiment of the application extracts the target surface parameter information from the target model file information by acquiring the target model file information corresponding to the material to be processed, thereby determining the key data information based on the target surface parameter information, carrying out characteristic analysis based on the key data information to obtain the characteristic data of the target model, determining the characteristic parameter information corresponding to the target model according to the characteristic data, further generating the data structure information based on the characteristic parameter information, carrying out matching processing on the material to be processed based on the data structure information to obtain the characteristic map information, determining the processing characteristic information corresponding to the material to be processed according to the characteristic map information, carrying out processing on the material to be processed according to the processing characteristic information to obtain the target model, and carrying out characteristic analysis on the model format file directly, thereby eliminating the dependence on a BOM table, realizing automatic processing, solving the problem caused by the fact that the existing aluminum profile processing technology needs to manually switch angle calibration according to the BOM table, and improving the processing efficiency.
It should be noted that, for simplicity of description, the method embodiments are shown as a series of acts, but it should be understood by those skilled in the art that the embodiments are not limited by the order of acts, as some steps may occur in other orders or concurrently in accordance with the embodiments.
As shown in fig. 9, an embodiment of the present application further provides a material processing information processing apparatus 900, including:
the obtaining module 910 is configured to obtain information of a target model file corresponding to a material to be processed;
the data extraction module 920 is configured to perform data extraction according to the target model file information to obtain feature data of a target model;
the matching module 930 is configured to perform matching processing on the material to be processed based on the feature data, so as to obtain feature map information of the target model;
and the processing characteristic information determining module 940 is configured to determine processing characteristic information corresponding to the material to be processed according to the characteristic map information.
Optionally, the data extraction module includes: the device comprises a target surface parameter information extraction sub-module, a key data information determination sub-module and a feature analysis sub-module;
the target surface parameter information extraction submodule is used for extracting target surface parameter information from the target model file information;
the key data information determining submodule is used for determining key data information based on the target surface parameter information;
and the characteristic analysis sub-module is used for carrying out characteristic analysis based on the key data information to obtain characteristic data of the target model.
Optionally, the key data information determining submodule includes: a planar key data information determination unit and a non-planar key data information determination unit;
the plane key data information determining unit is used for extracting plane normal data and plane point data in the plane parameter information when the target plane parameter information contains the plane parameter information, and determining the plane normal data and the plane point data as plane key data information;
the non-planar key data information determining unit is configured to extract central axis data and radius data in the non-planar parameter information when the target surface parameter information contains non-planar parameter information, and determine the central axis data and the radius data as non-planar key data information.
Optionally, the feature analysis submodule includes: a control point information extraction unit, a plane position information determination unit, a coplanar feature data determination unit, an adjacent face feature data determination unit, and an auxiliary face feature data determination unit;
the control point information extraction unit is used for extracting control point information from the plane key data information when the key data information is the plane key data information;
The plane position information determining unit is used for determining plane position information based on the control point information;
the coplanar feature data determining unit is used for performing feature recognition processing based on the coplanar position information to obtain coplanar feature data when the plane position information is coplanar position information;
the adjacent surface characteristic data determining unit is used for performing characteristic recognition processing based on the intersecting position information when the plane position information is the intersecting position information to obtain adjacent surface characteristic data;
and the auxiliary surface characteristic data determining unit is used for carrying out characteristic recognition processing based on the section position information when the plane position information is the section position information to obtain auxiliary surface characteristic data.
Optionally, the feature analysis sub-module further includes: a geometric analysis unit and a coaxial feature data determination unit;
the geometric analysis unit is used for carrying out geometric analysis on the non-planar key data information to obtain curvature information when the key data information is the non-planar key data information;
and the coaxial characteristic data determining unit is used for carrying out characteristic recognition processing based on the curvature information to obtain coaxial characteristic data.
Optionally, the matching module includes: the device comprises a characteristic parameter information determining sub-module, a data structure information generating sub-module and a characteristic map information determining sub-module;
the characteristic parameter information determining submodule is used for determining characteristic parameter information corresponding to the target model according to the characteristic data, wherein the characteristic parameter information comprises angle characteristic parameter information, convex-concave characteristic parameter information and basic type parameter information;
the data structure information generating sub-module is used for generating data structure information based on the angle characteristic parameter information, the convex-concave characteristic parameter information and the basic type parameter information;
and the characteristic spectrum information determining submodule is used for carrying out matching processing on the material to be processed based on the data structure information to obtain the characteristic spectrum information.
Optionally, the material processing information processing device further includes:
the processing module is used for processing the material to be processed according to the processing characteristic information to obtain the target model;
wherein, according to the characteristic map information, determining processing characteristic information corresponding to the material to be processed includes: determining processing characteristic parameter information and processing characteristic map information based on the characteristic map information; calculating according to the processing characteristic parameter information to obtain processing technology information and processing time information corresponding to the material to be processed; and determining the processing characteristic information based on the processing characteristic map information, the processing technology information and the processing time information.
It should be noted that, the material processing information processing device provided by the embodiment of the present application may execute the material processing information processing method provided by any embodiment of the present application, and has the corresponding functions and beneficial effects of the execution method.
In a specific implementation, the material processing information processing device can be integrated in equipment, so that the equipment can generate processing characteristic information according to the acquired target model file information to serve as material processing equipment, and automatic processing of a material to be processed is realized. The device may be formed of two or more physical entities or may be formed of one physical entity, for example, the device may be a personal computer (Personal Computer, PC), a computer, a server, etc., which is not particularly limited in the embodiment of the present application.
As shown in fig. 10, an embodiment of the present application provides a material processing apparatus, including a processor 111, a communication interface 112, a memory 113, and a communication bus 114, where the processor 111, the communication interface 112, and the memory 113 perform communication with each other through the communication bus 114; a memory 113 for storing a computer program; the processor 111 is configured to implement the steps of the material processing information processing method provided in any one of the foregoing method embodiments when executing the program stored in the memory 113. By way of example, the steps of the material processing information processing method may include the steps of: acquiring target model file information corresponding to a material to be processed; extracting data according to the target model file information to obtain characteristic data of a target model; carrying out matching treatment on the material to be processed based on the characteristic data to obtain characteristic spectrum information of the target model; and determining processing characteristic information corresponding to the material to be processed according to the characteristic map information.
The present application also provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the material processing information processing method provided by any one of the method embodiments described above.
It should be noted that in this document, relational terms such as "first" and "second" and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The foregoing is only a specific embodiment of the application to enable those skilled in the art to understand or practice the application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A material processing information processing method, characterized by comprising:
acquiring target model file information corresponding to a material to be processed;
extracting data according to the target model file information to obtain characteristic data of a target model;
carrying out matching treatment on the material to be processed based on the characteristic data to obtain characteristic spectrum information of the target model;
and determining processing characteristic information corresponding to the material to be processed according to the characteristic map information.
2. The method according to claim 1, wherein the extracting data according to the object model file information to obtain feature data of the object model includes:
Extracting target surface parameter information from the target model file information;
determining key data information based on the target surface parameter information;
and carrying out feature analysis based on the key data information to obtain feature data of the target model.
3. The method of claim 2, wherein determining critical data information based on the target plane parameter information comprises:
if the target plane parameter information contains plane parameter information, extracting plane normal data and plane point data in the plane parameter information, and determining the plane normal data and the plane point data as plane key data information;
and if the target surface parameter information comprises non-planar parameter information, extracting central axis data and radius data in the non-planar parameter information, and determining the central axis data and the radius data as non-planar key data information.
4. A method according to claim 3, wherein the performing feature analysis based on the key data information to obtain feature data of the target model includes:
when the key data information is plane key data information, extracting control point information from the plane key data information;
Determining plane position information based on the control point information;
if the plane position information is coplanar position information, carrying out feature recognition processing based on the coplanar position information to obtain coplanar feature data;
if the plane position information is intersecting position information, performing feature recognition processing based on the intersecting position information to obtain adjacent plane feature data;
and if the plane position information is the section position information, performing feature recognition processing based on the section position information to obtain auxiliary surface feature data.
5. A method according to claim 3, wherein the performing feature analysis based on the key data information to obtain feature data of the target model includes:
when the key data information is non-planar key data information, performing geometric analysis on the non-planar key data information to obtain curvature information;
and carrying out feature recognition processing based on the curvature information to obtain coaxial feature data.
6. The method according to claim 1, wherein the matching the material to be processed based on the feature data to obtain feature map information of the target model includes:
Determining characteristic parameter information corresponding to the target model according to the characteristic data, wherein the characteristic parameter information comprises angle characteristic parameter information, convex-concave characteristic parameter information and basic type parameter information;
generating data structure information based on the angle characteristic parameter information, the convex-concave characteristic parameter information and the basic type parameter information;
and carrying out matching treatment on the material to be processed based on the data structure information to obtain the characteristic spectrum information.
7. The method as recited in claim 1, further comprising:
processing the material to be processed according to the processing characteristic information to obtain the target model;
wherein, according to the characteristic map information, determining processing characteristic information corresponding to the material to be processed includes: determining processing characteristic parameter information and processing characteristic map information based on the characteristic map information;
calculating according to the processing characteristic parameter information to obtain processing technology information and processing time information corresponding to the material to be processed;
and determining the processing characteristic information based on the processing characteristic map information, the processing technology information and the processing time information.
8. A material processing information processing apparatus, comprising:
the acquisition module is used for acquiring target model file information corresponding to the material to be processed;
the data extraction module is used for carrying out data extraction according to the target model file information to obtain characteristic data of a target model;
the matching module is used for carrying out matching treatment on the material to be processed based on the characteristic data to obtain the characteristic spectrum information of the target model;
and the processing characteristic information determining module is used for determining processing characteristic information corresponding to the material to be processed according to the characteristic map information.
9. The material processing equipment is characterized by comprising a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory are communicated with each other through the communication bus;
a memory for storing a computer program;
a processor for implementing the steps of the material processing information processing method according to any one of claims 1 to 7 when executing a program stored on a memory.
10. A computer-readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the material processing information processing method according to any one of claims 1 to 7.
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