A classification method and system for components in transmission tower modeling

Abstract

The present invention provides a method and system for classifying components when modeling a transmission tower. The method is characterized by comprising: decomposing the transmission tower to be modeled to obtain nodes and rods; selecting points and rods related to a pre-defined surface based on the surface to construct a surface set; constructing points and rods that do not form a surface set but have the same relationship into a homogeneous set based on the relationships between points and rods; constructing points and rods that do not form a surface set or homogeneous set into an unrelated set; and classifying all elements of the transmission tower based on the surface sets, homogeneous sets, and unrelated sets. The present invention can classify points and rods with the same attributes and represent them as sets, reducing information duplication and information volume, thereby improving modeling and verification efficiency.

Description

Technical Field

[0001] The present invention relates to the field of transmission tower design, and in particular to a method and system for classifying components when modeling a transmission tower. Background Art

[0002] Transmission towers are typically symmetrical models, such as those with symmetry across the front, back, and left, or just the front, and back. Nodes and members are typically created based on this symmetry during modeling. However, even after symmetric simplification, the model still contains thousands of members. Traditionally, manually entering node and member data is labor-intensive, as the amount of information required for these members is large and redundant. This increases the workload required for data verification to avoid deviations. Whether verifying through text alone or using a graphical display in a data table, locating the member data row is time-consuming, and duplications and omissions are common. Manual troubleshooting is impossible, and only experienced engineers can identify modeling errors based on calculation errors. Furthermore, traditional modeling methods directly generate members from points, which can result in useless members. Therefore, improved classification methods are needed to improve modeling and verification efficiency. Summary of the Invention

[0003] To address the problems in the prior art of traditional methods of filling in nodes and rods with a large amount of information, excessive redundant information, and low modeling and verification efficiency, the present invention provides a method and system for classifying components when modeling transmission towers. This method can reduce repeated attribute information of nodes and rods, thereby reducing the amount of information and further reducing redundant information, thereby improving modeling and verification efficiency.

[0004] The technical solution provided by the present invention is: a method for classifying components when modeling a transmission tower, comprising: decomposing the transmission tower to be modeled to obtain nodes and rods;

[0005] Based on a pre-defined surface, points and rods related to the surface are selected to construct a partition surface set;

[0006] Based on the relationship between points and the relationship between rods, points and rods that do not form a partition set and have the same relationship are constructed into a similar set;

[0007] Construct the points and members that are not constructed into a separate surface set or a similar set into an independent set;

[0008] All elements of the transmission tower are classified based on the partition set, similar set and irrelevant set.

[0009] Preferably, decomposing the transmission tower to be modeled to obtain nodes and rods includes:

[0010] Decompose the transmission tower to be modeled into tower segments;

[0011] According to the collinear relationship of the nodes in the tower section, generate any two nodes in each group of collinear nodes;

[0012] Generate the remaining nodes and members based on the existing nodes, relationships between nodes, and relationships between members.

[0013] Preferably, the nodes are represented in a coded form, and the content includes: node number, establishment method and node relationship.

[0014] Preferably, the establishment method includes: establishing according to node coordinates, establishing according to the coordinates of three collinear nodes and a direction, and establishing according to three collinear nodes and the ratio between nodes. When the establishment method is establishing according to node coordinates, the content of the node also includes: the coordinates of the node;

[0015] When the establishment method is based on three collinear nodes and a coordinate of a direction, the node content also includes: two collinear nodes and a coordinate;

[0016] When the establishment method is based on three collinear nodes and the ratio between the nodes, the content of the node also includes: two collinear nodes and the ratio between the nodes.

[0017] Preferably, the rod is represented in a coded form, and the content includes: node information at both ends of the rod, and symmetry relationship information of the rod.

[0018] Preferably, after classifying all elements of the transmission tower based on the partition set, the same type set and the irrelevant set, the method further comprises: modeling based on the partition set, the same type set and the irrelevant set established by the classification.

[0019] Preferably, the order of the node numbers is the order in which the nodes are generated.

[0020] Based on the same inventive concept, the present invention also provides a classification system for various components when modeling a transmission tower, the system comprising: a decomposition module, a partition set construction module, a similar set construction module, an unrelated set construction module and an execution module;

[0021] The decomposition module is used to decompose the transmission tower to be modeled to obtain nodes and rods;

[0022] The partition surface set construction module is used to select points and rods related to a pre-defined surface to construct a partition surface set;

[0023] The homogeneous set construction module is used to construct points and rods that do not form a partition set and have the same relationship into a homogeneous set based on the relationship between the points and the relationship between the rods;

[0024] The irrelevant set construction module is used to construct the points and rods for which no partition set or similar set is constructed into an irrelevant set;

[0025] The execution module is used to classify all elements of the transmission tower according to the partition set, the same type set and the irrelevant set.

[0026] Preferably, the decomposition module includes: a tower segment decomposition unit, a node generation unit and a node member completion unit;

[0027] The tower segment decomposition unit is used to decompose the transmission tower to be modeled into tower segments;

[0028] The node generation unit is used to generate any two nodes in each group of collinear nodes according to the collinear relationship of the nodes in the tower section;

[0029] The node-bar completion unit is used to generate remaining nodes and bars according to existing nodes, relationships between nodes, and relationships between bars.

[0030] Preferably, the system further comprises: a modeling module;

[0031] The modeling module is used to perform modeling based on the partition surface set, similar set and irrelevant set established by classification.

[0032] Compared with the prior art, the present invention has the following advantages: the present invention provides a method and system for classifying various components when modeling a transmission tower, characterized by comprising: decomposing the transmission tower to be modeled to obtain nodes and rods; based on pre-defined surfaces, selecting points and rods related to the surface to construct an interval surface set; based on the relationships between points and the relationships between rods, constructing points and rods that do not form an interval surface set and have the same relationship into a homogeneous set; constructing points and rods that do not form an interval surface set or a homogeneous set into an irrelevant set; and classifying all elements of the transmission tower based on the interval surface set, homogeneous set, and irrelevant set. The present invention can reduce the repeated attribute information of nodes and rods, reduce the amount of information, and further reduce redundant information, thereby improving modeling and verification efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 is a flow chart of the present invention;

[0034] Figure 2 This is an example schematic diagram of the proportional method of the present invention where the value of R is greater than 1;

[0035] Figure 3 This is an example schematic diagram of the proportional method of the present invention where the value of R is not negative and is less than 1;

[0036] Figure 4 This is an example schematic diagram of a negative value of the proportional method R of the present invention;

[0037] Figure 5 A schematic diagram of the basic structure of the classification system of various components when modeling a transmission tower according to the present invention;

[0038] Figure 6 A detailed structural diagram of the classification system of various components when modeling a transmission tower according to the present invention. DETAILED DESCRIPTION

[0039] In order to better understand the present invention, the present invention is further described below with reference to the accompanying drawings and examples.

[0040] Example 1:

[0041] The present invention is a classification method for various components when modeling a transmission tower, such as Figure 1 As shown,

[0042] Step 1. Decompose the tower to be designed into tower segments and abstract them into nodes and members;

[0043] Decompose the transmission tower to be modeled into tower segments;

[0044] According to the collinear relationship of the nodes in the tower section, generate any two nodes in each group of collinear nodes;

[0045] Generate the remaining nodes and members based on the existing nodes, relationships between nodes, and relationships between members;

[0046] The generated nodes and rods include existing information and relationship information, and the amount of information can be reduced after classification.

[0047] Step 2. Based on the pre-defined surface, select points and rods related to the surface to construct a partition surface set;

[0048] Nodes and members on a surface symmetrical about the X-axis or Y-axis are simplified to endpoints and anchor points, nodes and members on a horizontal plane are generated, and nodes and members that can be represented by plane sets are represented as plane sets.

[0049] Step 3. Construct the points and members that do not form a partition set and have the same relationship into a homogeneous set;

[0050] Collinear nodes and members are simplified into endpoint series representation, collinear points and collinear members are generated, and collinear nodes and members are represented as sets;

[0051] Cross members between collinear nodes that are symmetrical about the X-axis or Y-axis are simplified into endpoint series representation, generating cross members that are symmetrical about the X-axis or Y-axis, and representing the symmetrical cross members as sets;

[0052] For cross members, set the same material information, consider simultaneous compression, and set the calculated length to the larger of the lengths from the two endpoints to the intersection.

[0053] Continuous horizontal members symmetrical about the X-axis or Y-axis are simplified into endpoint series representation, generating horizontal members, and representing the members as sets;

[0054] In actual engineering, one angle steel corresponds to multiple bars in the model. Using a set representation, repeated bars can be turned into one bar. Collinear bars in different tower sections are different angle steels.

[0055] The angle steel may be a composite angle steel or a steel pipe;

[0056] Step 4. Construct the points and members that are not constructed into a separate surface set or a similar set into an irrelevant set;

[0057] Step 5. Restore the set to a model based on the established set to complete the modeling.

[0058] Creating a set can simplify the properties of the nodes and members within the set, reduce duplicate properties, and reduce the amount of information.

[0059] The numbering system of the present invention is based on the following:

[0060] There are three types of symmetry relationships between nodes: left-right symmetry, front-back symmetry, and symmetry about the Z axis.

[0061] The coordinate system is a Cartesian coordinate system with the Z axis pointing downward;

[0062] In a coordinate system, two nodes are bilaterally symmetrical if their Y and Z coordinates are identical, and their X coordinates are positive and negative. Two nodes are front-to-back symmetrical if their X and Z coordinates are identical, and their Y coordinates are positive and negative. Two nodes are symmetrical about the Z axis if their Z coordinates are identical, and their X and Y coordinates are positive and negative. For nodes that are both bilaterally (front-to-back) and Z-axis symmetrical, prioritize bilateral or front-to-back symmetry when numbering them, and set them to non-Z-axis symmetry.

[0063] When numbering nodes, consider the symmetry between them. Symmetrical nodes are identical after deleting the units digit. For example, 10, 11, 12, and 13 are all 1 after deleting the units digit. The exact symmetry is clearly expressed by the units digit. If a symmetric node does not exist, the node is not generated to avoid errors.

[0064] The generated node data content and format are as follows:

[0065] J TYPE IS J1 / X J2 / Y J3 / Z / R Z1 / K1 Z2 / K2

[0066] in:

[0067] J: Node numbers need to be established, and the node numbering principles must be followed, with numbers assigned according to the generation order.

[0068] TYPE: Node establishment method, represented by one or two letters (uppercase and lowercase letters are acceptable). For specific methods, see the following instructions.

[0069] IS: Node symmetry information, which can be filled in with 0 to 4. 0 means no symmetrical nodes are generated; 1 means left-right symmetrical nodes are generated; 2 means front-back symmetrical nodes are generated; 3 means Z-axis symmetrical nodes are generated; 4 means all symmetrical nodes are generated, including left-right, front-back, and Z-axis symmetrical nodes.

[0070] The following 6 columns of data have different meanings and filling methods depending on how the nodes are established.

[0071] (1) Coordinate method: input coordinate values ​​in three directions

[0072] Type character: TYPE=C

[0073] The main size control points of the tower can be directly input with coordinate values ​​in three directions.

[0074] J TYPE IS X Y Z 100 C 4 1.500 2.500 3.500

[0075] (2) Intercept method: three points are collinear and the coordinate value of one direction is known

[0076] Type character: TYPE=XC, the X coordinate value is known;

[0077] TYPE=YC, the Y coordinate value is known;

[0078] TYPE=ZC, the Z coordinate value is known.

[0079] J1 and J2 are the numbers of the other two collinear nodes, and the known direction coordinate value of point J is filled in the 6th column.

[0080] J TYPE IS J1 J2 Z 100 XC 4 200 300 3.500

[0081] (3) Proportional method: three points are collinear, and the relative proportion of the distance between nodes is known

[0082] Type character: TYPE=R

[0083] J1 and J2 are the numbers of the other two collinear nodes, and the relative proportion of the distance is filled in the 6th column.

[0084]

[0085]

[0086] The value of ratio R is as follows:

[0087] 1) When R is a positive number, it means that point J is located between the J1-J2 line segment. If it is greater than 1, it means that J is located at 1 / R from J1 to J2. Figure 2 As shown, if it is less than 1, it means that J is located at R in the direction from J1 to J2, as shown in Figure 3 shown.

[0088] The two values ​​have the same function, and the two values ​​are used to simplify the length of the number;

[0089] 2) When R is a negative number: it means that point J is on the line extending from J1-J2. The absolute value of the ratio means that the length of line segment J2-J is R times that of line segment J1-J2. Figure 4 shown.

[0090] The generated member content and format are as follows:

[0091] JB JE IS

[0092] (1) JB, JE: Node numbers at both ends of the member

[0093] It is generally required that JB is less than JE. If the larger number comes first, the member numbers will be output in the order of "small-large" in the calculation result file.

[0094] (2) IS: Member symmetry information

[0095] The information for generating symmetrical members may be filled in with values ​​ranging from 0 to 4; if IS=0, no symmetrical members are generated; if IS=1, left-right symmetrical members are generated; if IS=2, front-back symmetrical members are generated; if IS=3, members are generated symmetrical about the Z axis; if IS=4, members are generated that are symmetrical left-right, front-back, and about the Z axis.

[0096] The main auxiliary tower section feature description file of the present invention is set as follows.

[0097] #SSection Tower section name

[0098] #SNode

Tower Section Node

[0099] N1

[0100] N2

[0101] …

[0102] Nn

[0103] #SElement

Tower Section Rod

[0104] N1 N2 [M1 Information]

[0105] N2 N3

M2 Information

[0106] …

[0107] Nn Nm

Mn information

[0108] #SEleLine

Tower Section Characteristic Description

[0109] L,IS

Generate nodes and members on the same line

[0110] N1,N2,…,Nn

[0111] X,IS,Dir

Generate cross members

[0112] N1,N2,…,Nn

[0113] S

Generate partition

[0114] GM,N0,N1,N2,N3,N4

[0115] The above is a feature description for a tower segment. A model consists of multiple tower segments. Nodes and members are generated for each segment based on the feature information. If the node or member already exists, it is simply sorted. If not, the missing nodes and members are generated. If a node or member is repeated, only the first member is used, and subsequent duplicate members are discarded. If a member is not included in the feature description, it is placed at the end of the segment data row and a decision is made as to whether to retain it. Within a tower segment, node and member data are sorted in the order in which the feature description was generated. The entire model file is sorted sequentially by the tower segment.

[0116] [Tower Section Node] Each row contains a node number, which is used to sort the node data rows in the model file. The data is filled in by the user, and missing nodes are generated by the tower section feature description.

[0117] [Tower Section Members] Each row contains two node numbers, corresponding to a member, and is used to sort the member data rows in the model file. This data is generated by the tower section feature description, and the members not generated by the tower section feature description are placed at the end.

[0118] [Tower Section Feature Description] contains multiple feature descriptions, the specific meanings are as follows.

[0119] 2. Automatically generate nodes and members based on collinearity.

[0120] L,IS

Generate nodes and members on the same line

[0121] N1,N2,…,Nn

[0122] IS is the symmetry information, which can be filled in with 0 to 4. 0 means no symmetrical nodes and members are generated; 1 means left-right symmetrical nodes and members are generated; 2 means front-back symmetrical nodes and members are generated; 3 means Z-axis symmetrical nodes and members are generated; 4 means all symmetrical nodes and members are generated, including left-right, front-back, and Z-axis symmetrical nodes and members.

[0123] N1, N2,…, Nn are the collinear node numbers.

[0124] The present invention has the following advantages:

[0125] (1) This application can reduce information duplication and the amount of information based on the classification of nodes and rods, so as to improve the efficiency of modeling and verification.

[0126] (2) This application can uniformly represent multiple rods with the same properties corresponding to an angle steel, reduce redundant information, and increase the accuracy and efficiency of modeling and verification.

[0127] (3) This application will number and arrange the nodes when generating them to make the information more concise.

[0128] Example 2:

[0129] First, decompose the transmission tower to be modeled to obtain multiple transmission tower segments;

[0130] Decompose each transmission tower section, input any number of collinear nodes, and generate other nodes and members based on the existing nodes and input relationships;

[0131] For example, after inputting a node in a tower section, other nodes and members are generated, and the nodes and members are classified in [Description File 1] as follows:

[0132] #SSectionOverall

[0133] #SNode 500 2700 5990

[0137] #SElement

[0138] #SEleLine

[0139] L,4

[0140] 500,600,700,800,900,2700

[0141] 2700,2800,2900,5990

[0142] The file already has three nodes: 500, 2700, and 5990. The data table is as follows

[0143] Node number type symmetry X Y Z 500 C 4 1.3 1.3 0 2700 C 4 3 3 52.4 5990 C 4 5.882 5.882 78.6

[0144] The data row 500, 600, 700, 800, 900, 2700 means that based on the two points 500 and 2700, the four nodes 600, 700, 800, and 900 will be automatically generated by equidistant interpolation. The same is true for 2800 and 2900, and the following members will be generated.

[0145]

[0146]

[0147] The rods will be automatically generated according to the order of the points. Similarly, taking description file 1, 500, 600, 700, 800, 900, 2700 and 2700, 2800, 2900, 5990 will generate the following rods:

[0148] starting point end symmetry 500 600 4 600 700 4 700 800 4 800 900 4 900 2700 4 2700 2800 4 2800 2900 4 2900 5990 4

[0149] 3. Generate cross bars.

[0150] X,IS,Dir

[0151] N1,N2,…,Nn

[0152] X indicates the generation of cross members, IS indicates the generation of member symmetry information, Dir indicates the symmetry direction, 1 indicates the intersection of the point symmetrical to the Y axis, and 2 indicates the intersection of the point symmetrical to the X axis.

[0153] X,4,1

[0154] 500,600,700,800,900,2700

[0155] The following members are generated:

[0156] starting point end symmetry 500 601 4 600 701 4 700 801 4 800 901 4 900 2701 4

[0157] 4. Generate partition nodes and members.

[0158] S

[0159] GM,N0,N1,N2,N3,N4

[0160] S is the partition information identifier, GM is the partition type, N0-N4 are the partition positioning points, N0 is required, N1-N4 are optional. If it is 0 or the point number does not exist, the node will be automatically generated.

[0161]

[0162]

[0163] 5. Generate horizontal bars.

[0164] H,IS,Dir

[0165] N1,N2,…,Nn

[0166] X indicates the generation of cross members, IS indicates the generation of member symmetry information, Dir indicates the symmetry direction, 1 indicates the intersection of the point symmetrical to the Y axis, and 2 indicates the intersection of the point symmetrical to the X axis.

[0167] H,2,2

[0168] 500, 600, 700

[0169] Generate the members as follows:

[0170] starting point end symmetry 500 502 1 600 602 1 700 702 1

[0171] In this embodiment, each cross section is divided into one category, and the remaining cross members with the same attributes are divided into one category. After classification, the attribute information of the members is added. The same attributes are added only once to reduce the amount of data.

[0172] In this embodiment, nodes and rods are formed based on existing points and rods and corresponding relationships. After being classified into sets, the nodes and rods contain multiple corresponding relationships and a group of nodes or a group of rods, which can reduce the amount of information. In addition, the attributes of points and rods with the same relationship are close, which can further save information in the set to reduce information redundancy.

[0173] Example 3:

[0174] In this embodiment, a description file is used to generate node coordinate member information based on the relationship between nodes and members;

[0175] Description file content:

[0176] #SSectionOverall

[0177] #SNode 500 2000 5990 600 700 800 900 1100 1200 1300 1400 2100 2200 2300 2400 1000

[0194] #SElement

[0195] #SEleLine

[0196] #SSection Section 1

[0197] #SNode 100 110 120 200 210 260 140 150 130 230 240 220 250 270 280 290

[0214] #SElement 100 110 110 120 120 130 130 140 140 150 150 500[[ID=6{1]] 100 250 [[ID=][4]]250 200 200 210 210 220 220 230 230 240 240 600 200 110 110 250 210 120 200 260 260 210 110 260 110 210 120 200 120 220[[ID=9{3]] 130 210 130 230 140 220 140 240 150 230 It should be noted that there may be some errors or inaccuracies in the original text, especially in the tags and numbering. The translation is done based on the best understanding of the provided content.150 600 500 240 100 112 110 122 120 142 140 152 150 502 200 212 210 232 230 242 240 602 110 202 120 212 100 102 110 112 120 122 200 202 210 212 200 280 280 270 200 290 290 270

[0264] #SEleLine

[0265] L,2

[0266] 100-150,500

[0267] 100,250,200-240,600

[0268] 200,110,250

[0269] 210,120

[0270] 200,260,210

[0271] 110,260

[0272] XH,2

[0273] 110-150,500,200-240,600

[0274] X,1

[0275] 100,110,120,140,150,500

[0276] 200,210,230,240,600

[0277] 110,200

[0278] 120,210

[0279] H,0

[0280] 100,110,120,200,210

[0281] L auxiliary, 2

[0282] 200,280,270

[0283] 200,290,270

[0284] #SSection segment 2

[0285] #SNode 300 310 320 410 340 350 330 400 430 440 420

[0297] #SElement 300 310 310 320 320 330 330 340 340 350 350 501 300 400 400 410 410 420 420 430 430 440 440 601 310 400 400 320 320 410 320 420 330 410 330 430 340 420 340 440 350 430 350 601 501 440 300 312 310 322 320 342 340 352 350 503 400 412 410 432 430 442 440 603 320 412 300 302 320 322 410 412

[0334] #SEleLine

[0335] L,4

[0336] 300 - 350,501

[0337] 300,400 - 440,601

[0338] 310,400,320,410

[0339] XH,2

[0340] 320 - 350,501,410 - 440,601

[0341] X,1

[0342] 300,310,320,340,350,501

[0343] 400,410,430,440,601

[0344] 320,410

[0345] H,0

[0346] 300,320,410

[0347] #SSection Section 3

[0348] #SNode 1500 1510 1610 1520 1600 1530 1540 1620 1630 1640

[0359] #SElement 1300 1540 1540 1530 1530 1520 1520 1600 1400 1630 1630 1620 1620 1610 1610 1600 1600 1500 1520 1620 1620 1530 1530 1630 1630 1540 1540 1400 1500 1510 1510 1520 1600 1510 1510 1610 1530 1542 1540 1302 1610 1622 1620 1632 1630 1402 1500 1640 1500 1502 1510 1512 1600 1602 1610 1612

[0388] #SEleLine

[0389] L,2

[0390] 1300,1540-1520,1600

[0391] 1400,1630-1600,1500

[0392] 1520,1620,1530,1630,1540,1400

[0393] 1500,1510,1520

[0394] 1600,1510,1610

[0395] X,1

[0396] 1530,1540,1300

[0397] 1610-1630,1400

[0398] 1500,-1640

[0399] H,2

[0400] 1500,1510,1600,1610

[0401] #SSection Section 4

[0402] #SNode 1700 1710 1810 1720 1800 1730 1740 1820 1830 1840

[0413] #SElement 1301 1740 1740 1730 1730 1720 1720 1810 1401 1830 1830 1820 1820 1810 1810 1800 1800 1700 1720 1820 I820 1730 1730 1830 1830 1740 1740 1401 1700 1710 I8001710 1720 1800 1710 1710 1810 1730 1742 [[ID=#73]]1740 1303 1810 1822 1820 1832 1830 1403 1700 1840 d 1700 1702 1710 1712 1800 1802 1810 1812

[0442] #SEleLine It should be noted that there seems to be an "I820" in the original text which might be a typo. I've translated it as "I820" as it is, but it's possible it should be something else like "1820".

[0443] L, 2

[0444] 1301, 1740 - 1720, 1810

[0445] 1401, 1830 - 1800, 1700

[0446] 1720, 1820, 1730, 1830, 1740, 1401

[0447] 1700, 1710, 1720

[0448] 1800, 1710, 1810

[0449] X, 1

[0450] 1730, 1740, 1301

[0451] 1810 - 1830, 1401

[0452] 1700, - 1840

[0453] H, 2

[0454] 1700, 1710, 1800, 1810

[0455] #S Section segment 5

[0456] #S Node 510 520 610 620<​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​

[0481] #SEleLine

[0482] L,4

[0483] 500,600,700

[0484] X,2

[0485] 500,600,700

[0486] X,1

[0487] 500,600,700

[0488] S,4

[0489] D21,500,510,520,0,0

[0490] D22X,600,610,620,630,0

[0491] #SSection Section 6

[0492] #SNode

[0493] #SElement 700 800 800 900 700 801 800 901 700 802 800 902 800 1000

[0501] #SEleLine

[0502] L,4

[0503] 700,800,900

[0504] X,2

[0505] 700,800,900

[0506] X,1

[0507] 700,800,900

[0508] L,2

[0509] 800,1000

[0510] #SSection Section 7

[0511] #SNode 1010 910 920 930 940

[0517] #SElement 900 1100 1100 1200 1200 1101 1100 910 1200 1102 1100 920 1100 1101 900 910 900 920 910 930 920 930 900 930 900 1000 920 1000 1000 1010 920 1010

[0534] #SEleLine

[0535] L,4

[0536] 900,1100,1200

[0537] X,2

[0538] 1200,1100,-910

[0539] X,1

[0540] 1200,1100,-920

[0541] H,2 1100

[0543] S,4

[0544] D22,900,910,920,930,0

[0545] L,2

[0546] 900,1000

[0547] 920,1000

[0548] L,2

[0549] 1000,1010

[0550] L,1

[0551] 920,1010

[0552] #SSection Segment 8

[0553] #SNode 1310 1320 1330 1340

[0558] #SElement 1200 1300 1300 1400 1200 1301 1300 1401 1200 1302 1300 1402<000099�>1300 1310 1300 1320 1310 1330 1320 1330 1300 1330 1330 1340 1340 1320

[0572] #SEleLine

[0573] L,4

[0574] 1200,1300,1400

[0575] X,2

[0576] 1200,1300,1400 [[ID=6〗]

[0577] X,1

[0578] 1200,1300,1400

[0579] S,4

[0580] D23,1300,1310,1320,1330,0

[0581] #SSection Segment 9

[0582] #SNode 1410 1420 1430 1440

[0587] #SElement 1400 2000 1400 2001 1400 2002 1400 1410 1400 1420 1410 1430 1420 1430 1400 1430 1430 1440 1440 1420

[0598] #SEleLine

[0599] L,4

[0600] 1400,2000

[0601] X,2

[0602] 1400,2000

[0603] X,1

[0604] 1400,2000

[0605] S,4

[0606] D23,1400,1410,1420,1430,0

[0607] #SSection Segment 10

[0608] #SNode<00​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​

[0629] 2000, 2100

[0630] X, 2

[0631] 2000, 2100

[0632] X, 1

[0633] 2000, 2100

[0634] S, 4

[0635] D22Y, 2000, 2010, 2020, 2030, 0

[0636] #S Section Segment 11

[0637] #S Node

[0638] #S Element 2100 2200 2100 2201 2100 2202

[0642] #S Ele Line

[0643] L, 4

[0644] 2100, 2200

[0645] X, 2 <�

[0646] 2100, 2200

[0647] X, 1

[0648] 2100, 2200

[0649] #S Section Segment 12

[0650] #S Node

[0651] #S Element 2200 2300 2200 2301 2200 2302

[0655] #S Ele Line

[0656] L, 4

[0657] [[ID=‌80]]2200, 2300[[ID=8‌1]]

[0658] X, 2

[0659] 2200, 2300

[0660] X,1

[0661] 2200,2300

[0662] #SSection Section 13

[0663] #SNode 2410 2420 2430 2440

[0668] #SElement 2300 2400 2300 2410 2300 2420 2400 2410 2400 2420 2410 2430 2420 2430 2400 2430 2430 2432

[0678] #SEleLine

[0679] L,4

[0680] 2300,2400

[0681] X,2

[0682] 2300,-2410

[0683] X,1

[0684] 2300,-2420

[0685] S,4<00011​​​​​​​​​​​​​​​​​​​​​​​​​​​

[0696] 2410,5990

[0697] 2420,5990

[0698] The generated coordinate information content:

[0699]

[0700]

[0701]

[0702]

[0703]

[0704]

[0705]

[0706]

[0707]

[0708]

[0709]

[0710]

[0711]

[0712]

[0713]

[0714]

[0715]

[0716]

[0717]

[0718]

[0719]

[0720] Example 4:

[0721] Based on the same inventive concept, the present invention also provides a classification system for various components when modeling a transmission tower. Since the principles of these devices for solving technical problems are similar to a classification method for various components when modeling a transmission tower, the repeated parts will not be repeated.

[0722] The basic structure of the system is as follows Figure 5 As shown, the system includes: a decomposition module, a facet set building module, a similar set building module, an unrelated set building module and an execution module;

[0723] Among them, the decomposition module is used to decompose the transmission tower to be modeled to obtain nodes and rods;

[0724] A partition surface set construction module is used to select points and rods related to a pre-defined surface to construct a partition surface set;

[0725] A homogeneous set construction module is used to construct points and bars that do not form a partition set and have the same relationship into a homogeneous set based on the relationship between points and the relationship between bars;

[0726] The irrelevant set construction module is used to construct the points and members of the unconstructed surface set or similar set into irrelevant sets;

[0727] The execution module is used to classify all elements of the transmission tower according to the partition set, the similar set and the irrelevant set.

[0728] The detailed structure of the classification system of each component when modeling the transmission tower is as follows Figure 6 shown.

[0729] The decomposition module includes: tower segment decomposition unit, node generation unit and node member completion unit;

[0730] Tower segment decomposition unit, used to decompose the transmission tower to be modeled into tower segments;

[0731] A node generation unit, for generating any two nodes in each group of collinear nodes according to the collinear relationship of the nodes in the tower section;

[0732] The node-member completion unit is used to generate the remaining nodes and members based on the existing nodes, the relationships between nodes, and the relationships between members.

[0733] Among them, the system also includes: a modeling module;

[0734] The modeling module is used to perform modeling based on the partition surface set, similar set and irrelevant set established by classification.

[0735] Those skilled in the art will appreciate that the embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, the present application can adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application can adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.

[0736] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions 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 instructions executed by the processor of the computer or other programmable data processing device generate instructions 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.

[0737] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0738] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0739] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application and are not intended to limit its scope of protection. Although the present application has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that after reading this application, those skilled in the art may still make various changes, modifications or equivalent substitutions to the specific implementation methods of the application, but these changes, modifications or equivalent substitutions are all within the scope of protection of the pending claims of the application.

Claims

1. A method for classifying components when modeling a transmission tower, characterized in that: include: Decompose the transmission tower to be modeled to obtain nodes and members; Based on a pre-defined surface, points and rods related to the surface are selected to construct a partition surface set; Based on the relationship between points and the relationship between rods, points and rods that do not form a partition set and have the same relationship are constructed into a similar set; Construct the points and members that are not constructed into a separate surface set or a similar set into an independent set; Classify all elements of the transmission tower based on the face set, similar set and irrelevant set; The nodes are represented in a coded form, including: node number, establishment method and node relationship; The establishment method includes: establishing according to node coordinates, establishing according to the coordinates of three collinear nodes and a direction, and establishing according to three collinear nodes and the ratio between nodes. When the establishment method is establishing according to node coordinates, the content of the node also includes: the coordinates of the node; When the establishment method is based on three collinear nodes and a coordinate of a direction, the node content also includes: two collinear nodes and a coordinate; When the establishment method is based on three collinear nodes and the ratio between the nodes, the node content also includes: two collinear nodes and the ratio between the nodes; The rod is represented in a coded form, and the content includes: node information at both ends of the rod and symmetry relationship information of the rod.

2. The method for classifying components when modeling a transmission tower according to claim 1, wherein: The transmission tower to be modeled is decomposed to obtain nodes and members including: Decompose the transmission tower to be modeled into tower segments; According to the collinear relationship of the nodes in the tower section, generate any two nodes in each group of collinear nodes; Generate the remaining nodes and members based on the existing nodes, relationships between nodes, and relationships between members.

3. The method for classifying components when modeling a transmission tower according to claim 1, wherein: After classifying all elements of the transmission tower based on the partition set, the same type set and the irrelevant set, the method further includes: modeling based on the partition set, the same type set and the irrelevant set established by the classification.

4. The method for classifying components when modeling a transmission tower according to claim 1, wherein: The order of the node numbers is the order in which the nodes are generated.

5. A classification system for components when modeling a transmission tower, characterized in that: The system includes: a decomposition module, an inter-face set construction module, a similar set construction module, an unrelated set construction module and an execution module; The decomposition module is used to decompose the transmission tower to be modeled to obtain nodes and rods; The partition surface set construction module is used to select points and rods related to a pre-defined surface to construct a partition surface set; The homogeneous set construction module is used to construct points and rods that do not form a partition set and have the same relationship into a homogeneous set based on the relationship between the points and the relationship between the rods; The irrelevant set construction module is used to construct the points and rods for which no partition set or similar set is constructed into an irrelevant set; The execution module is used to classify all elements of the transmission tower according to the partition set, the same set and the irrelevant set; The nodes are represented in a coded form, including: node number, establishment method and node relationship; The establishment method includes: establishing according to node coordinates, establishing according to the coordinates of three collinear nodes and a direction, and establishing according to three collinear nodes and the ratio between nodes. When the establishment method is establishing according to node coordinates, the content of the node also includes: the coordinates of the node; When the establishment method is based on three collinear nodes and a coordinate of a direction, the node content also includes: two collinear nodes and a coordinate; When the establishment method is based on three collinear nodes and the ratio between the nodes, the node content also includes: two collinear nodes and the ratio between the nodes; The rod is represented in a coded form, and the content includes: node information at both ends of the rod and symmetry relationship information of the rod.

6. A classification system for components when modeling a transmission tower according to claim 5, characterized in that: The decomposition module includes: a tower segment decomposition unit, a node generation unit and a node member completion unit; The tower segment decomposition unit is used to decompose the transmission tower to be modeled into tower segments; The node generation unit is used to generate any two nodes in each group of collinear nodes according to the collinear relationship of the nodes in the tower section; The node-bar completion unit is used to generate remaining nodes and bars based on existing nodes, relationships between nodes, and relationships between bars.

7. The classification system for components when modeling a transmission tower according to claim 5, characterized in that: The system further comprises: a modeling module; The modeling module is used to perform modeling based on the partition surface set, similar set and irrelevant set established by classification.

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